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  • VENTUREBEAT.COM
    OpenAI slashes prices for GPT-4.1, igniting AI price war among tech giants
    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI released GPT-4.1 this morning, directly challenging competitors Anthropic, Google and xAI.By ramping up its coding and context-handling capabilities to a whopping one-million-token window and aggressively cutting API prices, GPT-4.1 is positioning itself as the go-to generative AI model. If you’re managing budgets or crafting code at scale, this pricing shake-up might just make your quarter. Performance upgrades at Costco prices The new GPT-4.1 series boasts serious upgrades, including a 54.6% win rate on the SWE-bench coding benchmark, marking a considerable leap from prior versions. But the buzz isn’t just about better benchmarks. Real-world tests by Qodo.ai on actual GitHub pull requests showed GPT-4.1 beating Anthropic’s Claude 3.7 Sonnet in 54.9% of cases, primarily thanks to fewer false positives and more precise, relevant code suggestions.. OpenAI’s new pricing structure—openly targeting affordability—might finally tip the scales for teams wary of runaway AI expenses: ModelInput cost (per Mtok)Output cost (per Mtok)GPT-4.1$2.00$8.00GPT-4.1 mini$0.40$1.60GPT-4.1 nano$0.10$0.40 The standout here? That generous 75% caching discount, effectively incentivizing developers to optimize prompt reuse—particularly beneficial for iterative coding and conversational agents. Feeling the heat Anthropic’s Claude models have established their footing by balancing power and cost. But GPT-4.1’s bold pricing undercuts their market position significantly: ModelInput cost (per Mtok)Output cost (per Mtok)Claude 3.7 Sonnet$3.00$15.00Claude 3.5 Haiku$0.80$4.00Claude 3 Opus$15.00$75.00 Anthropic still offers compelling caching discounts (up to 90% in some scenarios), but GPT-4.1’s base pricing advantage and developer-centric caching improvements position OpenAI as a budget-friendlier choice—particularly appealing for startups and smaller teams. Gemini’s pricing complexity is becoming increasingly notorious in developer circles. According to Prompt Shield’s Gemini’s tiered structure—especially with the powerful 2.5 Pro variant—can quickly escalate into financial nightmares due to surcharges for lengthy inputs and outputs that double past certain context thresholds: ModelInput cost (per Mtok)Output cost (per Mtok)Gemini 2.5 Pro ≤200k$1.25$10.00Gemini 2.5 Pro >200k$2.50$15.00Gemini 2.0 Flash$0.10$0.40 Moreover, Gemini lacks an automatic billing shutdown, which Prompt Shield says exposes developers to Denial-of-Wallet attacks—malicious requests designed to deliberately inflate your cloud bill, which Gemini’s current safeguards don’t fully mitigate. GPT-4.1’s predictable, no-surprise pricing seems to be a strategic counter to Gemini’s complexity and hidden risks. Context is king xAI’s Grok series, championed by Elon Musk, recently unveiled its API pricing for its latest models last week: ModelInput Cost per MtokOutput (per Mtok)Grok-3$3.00$15.00Grok-3 Fast-Beta$5.00$25.00Grok-3 Mini-Fast$0.60$4.00 One complicating factor with Grok has been its context window. Musk touted that Grok 3 could handle 1 million tokens (similar to GPT-4.1’s claim), but the current API actually maxes out at 131k tokens​, well short of that promise. This discrepancy drew some criticism from users on X, pointing to a bit of overzealous marketing on xAI’s part​.  For developers evaluating Grok vs. GPT-4.1, this is notable: GPT-4.1 offers the full 1M context as advertised, whereas Grok’s API might not (at least at launch). In terms of pricing transparency, xAI’s model is straightforward on paper, but the limitations and the need to pay more for “fast” service show the trade-offs of a smaller player trying to compete with industry giants. Windsurf bets big on GPT-4.1’s developer appeal Demonstrating high confidence in GPT-4.1’s practical advantages, Windsurf—the AI-powered IDE—has offered an unprecedented free, unlimited GPT-4.1 trial for a week. This isn’t mere generosity; it’s a strategic gamble that once developers experience GPT-4.1’s capabilities and cost savings firsthand, reverting to pricier or less capable models will be a tough sell. A new era of competitive AI pricing OpenAI’s GPT-4.1 isn’t just shaking up the pricing game, it’s potentially setting new standards for the AI development community. With precise, reliable outputs verified by external benchmarks, simple pricing transparency, and built-in protections against runaway costs, GPT-4.1 makes a persuasive case for being the default choice in closed-model APIs. Developers should brace themselves—not just for cheaper AI, but for the domino effect this pricing revolution might trigger as Anthropic, Google, and xAI scramble to keep pace. For teams previously limited by cost, complexity, or both, GPT-4.1 might just be the catalyst for a new wave of AI-powered innovation. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.
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    OpenAI’s new GPT-4.1 models can process a million tokens and solve coding problems better than ever
    OpenAI launched a new family of AI models this morning that significantly improve coding abilities while cutting costs, responding directly to growing competition in the enterprise AI market. The San Francisco-based AI company introduced three models — GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano — all available immediately through its API. The new line…Read More
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    Comcast launches five-year price guarantee for Xfinity internet customers
    Comcast is introducing the option to choose a five-year price guarantee when customers sign up for a new Xfinity Internet package.Read More
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    This AI already writes 20% of Salesforce’s code. Here’s why developers aren’t worried
    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When Anthropic CEO Dario Amodei declared that AI would write 90% of code within six months, the coding world braced for mass extinction. But inside Salesforce, a different reality has already taken shape. “About 20% of all APEX code written in the last 30 days came from Agentforce,” Jayesh Govindarajan, Senior Vice President of Salesforce AI, told me during a recent interview. His team tracks not just code generated, but code actually deployed into production. The numbers reveal an acceleration that’s impossible to ignore: 35,000 active monthly users, 10 million lines of accepted code, and internal tools saving 30,000 developer hours every month. Yet Salesforce’s developers aren’t disappearing. They’re evolving. “The vast majority of development — at least what I call the first draft of code — will be written by AI,” Govindarajan acknowledged. “But what developers do with that first draft has fundamentally changed.” From lines of code to strategic control: How developers are becoming technology pilots Software engineering has always blended creativity with tedium. Now AI handles the latter, pushing developers toward the former. “You move from a purely technical role to a more strategic one,” Govindarajan explained. “Not just ‘I have something to build, so I’ll build it,’ but ‘What should we build? What does the customer actually want?'” This shift mirrors other technological disruptions. When calculators replaced manual computation, mathematicians didn’t vanish — they tackled more complex problems. When digital cameras killed darkrooms, photography expanded rather than contracted. Salesforce believes code works the same way. As AI slashes the cost of software creation, developers gain what they’ve always lacked: time. “If creating a working prototype once took weeks, now it takes hours,” Govindarajan said. “Instead of showing customers a document describing what you might build, you simply hand them working software. Then you iterate based on their reaction.” ‘Vibe coding’ is here: Why software engineers are now orchestrating AI rather than typing every command Coders have begun adopting what’s called “vibe coding” — a term coined by OpenAI co-founder Andrej Karpathy. The practice involves giving AI high-level directions rather than precise instructions, then refining what it produces. “You just give it a sort of high-level direction and let the AI use its creativity to generate a first draft,” Govindarajan said. “It won’t work exactly as you want, but it gives you something to play with. You refine parts of it by saying, ‘This looks good, do more of this,’ or ‘Those buttons are janky, I don’t need them.'” He compares the process to musical collaboration: “The AI sets the rhythm while the developer fine-tunes the melody.” While AI excels at generating straightforward business applications, Govindarajan admits it has limits. “Are you going to build the next-generation database with vibe coding? Unlikely. But could you build a really cool UI that makes database calls and creates a fantastic business application? Absolutely.” The new quality imperative: Why testing strategies must evolve as AI generates more production code AI doesn’t just write code differently — it requires different quality control. Salesforce developed its Agentforce Testing Center after discovering that machine-generated code demanded new verification approaches. “These are stochastic systems,” Govindarajan explained. “Even with very high accuracy, scenarios exist where they might fail. Maybe it fails at step 3, or step 4, or step 17 out of 17 steps it’s performing. Without proper testing tools, you won’t know.” The non-deterministic nature of AI outputs means developers must become experts at boundary testing and guardrail setting. They need to know not just how to write code, but how to evaluate it. Beyond code generation: How AI is compressing the entire software development lifecycle The transformation extends beyond initial coding to encompass the full software lifecycle. “In the build phase, tools understand existing code and extend it intelligently, which accelerates everything,” Govindarajan said. “Then comes testing—generating regression tests, creating test cases for new code—all of which AI can handle.” This comprehensive automation creates what Govindarajan calls “a significantly tighter loop” between idea and implementation. The faster developers can test and refine, the more ambitious they can become. Algorithmic thinking still matters: Why computer science fundamentals remain essential in the AI era Govindarajan frequently fields anxious questions about software engineering’s future. “I get asked constantly whether people should still study computer science,” he said. “The answer is absolutely yes, because algorithmic thinking remains essential. Breaking down big problems into manageable pieces, understanding what software can solve which problems, modeling user needs—these skills become more valuable, not less.” What changes is how these skills manifest. Instead of typing out each solution character by character, developers guide AI tools toward optimal outcomes. The human provides judgment; the machine provides speed. “You still need good intuition to give the right instructions and evaluate the output,” Govindarajan emphasized. “It takes genuine taste to look at what AI produces and recognize what works and what doesn’t.” Strategic elevation: How developers are becoming business partners rather than technical implementers As coding itself becomes commoditized, developer roles connect more directly to business strategy. “Developers are taking supervisory roles, guiding agents doing work on their behalf,” Govindarajan explained. “But they remain responsible for what gets deployed. The buck still stops with them.” This elevation places developers closer to decision-makers and further from implementation details—a promotion rather than an elimination. Salesforce supports this transition with tools designed for each stage: Agentforce for Developers handles code generation, Agent Builder enables customization, and Agentforce Testing Center ensures reliability. Together, they form a platform for developers to grow into these expanded roles. The company’s vision presents a stark contrast to the “developers are doomed” narrative. Rather than coding themselves into obsolescence, software engineers who adapt may find themselves more essential than ever. In a field where reinvention is routine, AI represents the most powerful compiler yet—transforming not just how code is written, but who writes it and why. For developers willing to upgrade their own mental models, the future looks less like termination and more like transcendence. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.
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    Poolhouse raises $34M for gamified pool from the creators of Topgolf
    Poolhouse, an effort from the Topgolf founders to build entertainment clubs around the game of pool, has raised $34 million. Much like Steve and Dave Jolliffe revolutionized golf with Topgolf, they plan to do the same by revolutinizing pool. Not only do they plan to create fancy clubs with quality restaurant food, they also plan to incorporate augmented reality technology to broaden the appeal of the pool-playing experience, said Andrew O’Brien, CEO of Poolhouse, in an interview with GamesBeat. The seed round was led by Sharp Alpha, a U.S. leisure-focused venture capital investor, and DMG Ventures, which is DMGT’s consumer venture capital fund. Other participants include Emerging Fund, (investors in F1 Arcade, Flight Club and Batbox), David Blitzer (owner of the Philadelphia 76ers and New Jersey Devils), Simon Sports (a co-owner of Ipswich Town F.C.), and Active Partners, an early investor in Soho House. On top of that, Signature Hospitality Group, one of Australia’s largest hospitality brand operators, has taken an equity stake and signed a franchise agreement with Poolhouse. Visionary concept Poolhouse is the result of four years of development by the Jolliffe brothers, the founders of Topgolf, which was merged with Callaway at a valuation of $2.1 billion in 2021. They will use the new capital to accelerate the company’s ambitious plan to revolutionize the game of pool. That’s sounds ambitious, but they have already done that for golf. Poolhouse combines its patented technology with a vibrant, vintage Las Vegas-inspired ambiance, offering guests of all skill levels an engaging experience with a diverse library of interactive pool games. The drinks offering is being curated with the Venning brothers from Three Sheets, a staple on the World’s 50 Best Bars list, who have helped define the cocktail culture in London and beyond for the last decade.Poolhouse’s proprietary technology alongside its world class food and beverage offering will meet consumers’ growing demand for high quality unique experiences. So far, they’re not revealing pictures of it yet or their technology, as they still have eight months to go before the fist opening and want to keep their competitive advantage a secret, O’Brien said. “We’re not just building venues, we’re building technology that we can place into any venue where there’s a pool table,” O’Brien said. And just as Topgolf bought the digital online golf game World Golf Tour, there could be a digital play via the Poolhouse app, he said. That includes a way to auto-handicap players across the world. Global expansion plans You can expect Poolhouse to expand the way that Topgolf did. Poolhouse will roll out its own venues, starting with a 21,500 square feet site by London’s Liverpool Street Station, the United Kingdom’s busiest rail station. The company will also license its technology to hospitality operators around the world, with discussions progressing in the Middle East, North America, Southeast Asia and Europe. Steve Jolliffe, co-founder of Poolhouse, said in a statement, “Poolhouse is the most ambitious and scalable concept my brother and I have created, representing the pinnacle of our lifelong work. Today, more people play at Topgolf than on traditional golf courses in the U.S., and we aim to make an even greater impact on the world of pool. While we have a strong track record of incorporating technology into golf balls, this project has been our most challenging endeavor yet.” The tables will have both open room locations as well as semi-private booths, as people prefer to play pool in different ways. Some prefer to be seen, some not. The food will be tapas style, where people can share everything with each other. It won’t do just a burger, but something more like a Wagyu burger. There won’t be much other entertainment, as the focus will be on pool. “Everything is going to be designed to be delicious and shareable, and it will span the cuisines of the world,” O’Brien said. “We really are looking for an amazing F&B experience.” The company has about 20 people now and it will likely expand beyond 100 as it opens its first place. Much of the job is finding the right real estate. He noted that locations in California are enormously expensive compared to other locations. But there are plenty of other places around the country with the right costs, demographics, tourism and corporate presence. He added, “The Jolliffes are the best at this. They’ve developed something here which is just so attractive to every walk of life, including corporates and families and couples and and we’re trying to find locations that are at the right balance. It’s different from Topgolf, where you’re talking about a giant $40 million to $60 million venue outside the city limits.” O’Brien said there will be 19 pool tables in the venue. And I hear there will also be a 20th secret table for high rollers, via invite only. He noted that pool is global, with millions of players playing every week in places like China, the U.K. and the U.S. As for the tech, he would not say what it was but said it is is “smart technology” combined with traditional pool tables. O’Brien said the goal is to open the first venue in London in January 2026. And he expects that the company will invest heavily in U.S. locations as well. The company will likely have its own internally owned venues and it will sell franchises as well. Leadership Poolhouse is run by CEO Andrew O’Brien and it was founded by Steve and Dave Jolliffe. The Jolliffes have assembled a heavyweight team, led by Irish CEO Andrew O’Brien, a board member at F1 Arcade and formerly of Credit Suisse, and COO Matt Fleming, who has held senior positions at Vagabond Wines and Be At One. The rest of the senior team brings experience from industry leaders such as Puttshack, Bounce, Flight Club, and Swingers. Leading the culinary vision is a former Executive Chef from the Gordon Ramsay Group. O’Brien met the Jolliffes in January 2023, and he admired the dominance of Topgolf, which has an 85% market share in its category. He eventually learned they were working on something new. “In terms of transforming sport, they’ve definitely done that. And what they did to golf ranges with Topgolf, that’s what they’re going to do to pool houses. “Hopefully we will bring together sufficient experience to deliver something really special here, and we’ve managed to close a decent funding round,” O’Brien said. “It’s really exciting what we’re doing. And the design of the venue is going to be spectacular. It’s a vintage Vegas. That’s going to be the theme. It’s like American dive bars. There are going to be ultra premium feels, like stepping back in time.” Stakeholder insights Sharp Alpha has a penchant for investing in smart teams. “We are very bullish on the growth in demand for third place experiences,” said Lloyd Danzig, managing partner at Sharp Alpha, in an interview with GamesBeat. “We see demand surging due to fundamental shifts in consumer preferences. People are drinking less. They’re lonelier. They want to get back out into real life, connect with people who have similar interests, put down their phones, turn off notifications.” He added, “And while they want to have a drink or two, they don’t necessarily want heavy alcohol consumption to be the centerpiece for socialization and entertainment. That’s why you’re seeing the growth of a lot of new experiential, community-based entertainment concepts that are seizing much of the market.” Danzig also said this is why his company loves investing in gaming. “We think competitive entertainment, or forms of entertainment that get the adrenaline flowing, is the best at capturing people’s attention and at delivering a connection to those around them. And so that’s why we’ve spent a lot of time in what some people are calling the eater-tainment, or the competitive socialization space, which is the space of Topgolf, Putt Shack and other concepts which take a conventional activity, add a proprietary technology angle that delivers a unique and new gamification layer, and then typically pair it with a food and beverage or hospitality concept to create a third place for leisure.” Those are all concepts Sharp Alpha is bullish on. “Then we met Poolhouse, which plays into many of the thesis ideas in this category. They are a concept that is conducive to high ticket food and beverage spend,” Danzig said. “They are conducive to corporate event spend, which is critical to delivering margin. And they have proprietary white label technology that can be sold at scale to hotels, casinos and other entertainment venues that want tech enable their pool tables. And so that’s part of the broader software enabled vision.” He said the Jolliffe brothers are “legendary engineers and entrepreneurs” from the U.K. who founded Topgolf and were the inventors of its technology. “They did the same for Putt Shack, which is tech-enabled mini golf, and Poolhouse is what they have been working on in stealth mode for the last four years. And then we brought on a team of seven executives from F1 Arcade, Putt Shack and Topgolf to staff and run the day to day operation,” he said. “So that combination of incredible team and playing into thesis upon which we are bullish is what got us interested in this opportunity, and we are thrilled to be joined with such an amazing group of strategic co-investors who will help make this an amazing reality.” Danzig declined to talk about exactly what was appealing about the “gamification” layer in Poolhouse, but he said Topgolf certainly used tech like augmented reality to showcase where your ball was likely to land at various golf courses. And it enables games like “closest to the pin” or who can knock down virtual targets that don’t exist in physical reality. There are also side quests for competition and more. He said Smart Alpha has spent much of the last 18 months evaluating nearly every concept in this competitive socialization space, as well as the broader third space. O’Brien said, “The Poolhouse experience heralds the most significant transformation in the history of a near 700-year-old sport. The Jolliffe brothers changed the landscape of golf with Topgolf, and they are set to do the same to pool.” Taos Edmondson, partner at DMG Ventures – “Poolhouse’s technology is staggeringly good and customers are going to be blown away when it opens its doors to the public. Demand for experiences is booming, particularly among younger generations. The addressable market will be vast, both through Poolhouse’s own venues and licensee venues.” For inquiries, please contact the following email address, poolhouse@fsc.uk.com. GB Daily Stay in the know! Get the latest news in your inbox daily Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.
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    The Last of Us Season 2 debuts first episode on HBO with the start of the second game
    The first episode of The Last of Us Season 2 kicks off today with a lie. Ellie, played by Bella Ramsey, says to Joel (Pedro Pascal), “Swear to me that everything you said about the Fireflies is true.” Joel betrays no emotion and says, “I swear.” I’ve seen the episode that debuted tonight and here are my impressions. It’s still a little jarring that the actors in the show don’t look so much like the characters in the two video games that I have spent so much time with. I think all gamers who love the titles have a similar feeling, but I made my peace with it with the last season, which debuted in January 2023 to much acclaim. I’m very excited to see HBO take the awareness of this game series into the stratosphere, as it is my favorite game series of all time. Pedro Pascal plays Joe Miller in The Last of Us Season 2. The opener carries a lot of emotional weight that the second game had as it kicked off themes about revenge and hate. If the first season and the first game set in motion set off a series of events that gave us a moving story about survival in the post-apocalyptic age, the second season follows the second game in giving us the consequences of the decisions made in the first. Bella Ramsey plays Ellie in The Last of Us Season 2. This season will no doubt follow the course of the first half of the second game, and I expect the third season will take us to the conclusion of the second game. Beyond that, there’s no scheduled third game. So if this proves to be a popular show, we may eventually run into a Game of Thrones-like situation, where the show passes up the primary source material and creates its own fiction. I won’t spoil the show, but everything about the show and the game is hard to watch, but it is so well done that it’s hard to look away or drop it. Young Mazino plays Jesse, one of my favorite characters in The Last of Us Part 2, the game. Warner’s HBO just announced the Emmy-winning HBO Original drama series has been renewed for a third season, ahead of its season two debut. The seven-episode second season of The Last of Us starts today on HBO and will be available to stream on Max. The new season picks up with the beginning of events of the game sequel, The Last of Us: Part 2. Much like the game, the timeline in the show takes place five years after the events of the first season, Joel and Ellie are drawn into conflict with each other and a world even more dangerous and unpredictable than the one they left behind. Season 2 cast: Season two returning cast includes Pascal as Joel, Ramsey as Ellie, Gabriel Luna as Tommy, and Rutina Wesley as Maria. Previously announced new cast members include Kaitlyn Dever as Abby, Isabela Merced as Dina, Young Mazino as Jesse, Ariela Barer as Mel, Tati Gabrielle as Nora, Spencer Lord as Owen, Danny Ramirez as Manny, and Jeffrey Wright as Isaac. Catherine O’Hara also guest stars. Rutina Wesley is Maria in The Last of Us Season 2. We expect of course to see Abby, Dina, Nora, Mel, Owen, Manny, Isaac and Jesse — they’re all in the second game. But O’Hara’s psychotherapist, named Gail in the show, is someone entirely new for the show. Her patient is very reluctant to talk, much like the early Tony Soprano in The Sopranos. That could lead to interesting dramatic moments. I feel like the casting is once again a bit jarring for the second season, but so far these actors are doing a great job convincing me they are the the characters. The actors for Abby, Dina, Owen and Jesse seem especially well cast given their mannerisms and their emotional intensity. So buckle up. This is going to be a pretty intense season. The third season Trouble ahead, that’s a fact. Maybe everything that dies someday comes back. Craig Mazin, creator, executive producer, writer, and director, said in a statement, “We approached season two with the goal of creating something we could be proud of. The end results have exceeded even our most ambitious goals, thanks to our continued collaboration with HBO and the impeccable work of our unparalleled cast and crew. We look forward to continuing the story of The Last of Us with season three.” It may seem like stretching out the series to do a full third season, with perhaps 14 episodes altogether for the second game. But it’s good to remember that the second game is far longer than the first one. So I think they can pull it off for the show, especially if each season isn’t as long as you might expect. Neil Druckmann, creator, executive producer, writer, and director, said in a statement, “To see The Last of Us brought to life so beautifully and faithfully has been a career highlight for me, and I am grateful for the fans’ enthusiastic and overwhelming support. Much of that success is thanks to my partner in crime, Craig Mazin, our partnership with HBO, and our team at PlayStation Productions. On behalf of everyone at Naughty Dog, our cast, and crew, thank you so much for allowing us this opportunity. We’re thrilled to bring you more of The Last of Us” Season 2, based on the acclaimed video game franchise developed by Naughty Dog for the PlayStation consoles, was written and executive produced by Craig Mazin and Neil Druckmann. The series is a co-production with Sony Pictures Television and is also executive produced by Carolyn Strauss, Jacqueline Lesko, Cecil O’Connor, Asad Qizilbash, Carter Swan, and Evan Wells; with writer/co-executive producer Halley Gross. GB Daily Stay in the know! Get the latest news in your inbox daily Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.
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    Beyond ARC-AGI: GAIA and the search for a real intelligence benchmark
    GUEST: Intelligence is pervasive, yet its measurement seems subjective. At best, we approximate its measure through tests and benchmarks. Think of college entrance exams: Every year, countless students sign up, memorize test-prep tricks and sometimes walk away with perfect scores. Does a single number, say a 100%, mean those who got it share the sa…Read More
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    Trump backs off on electronics tariffs
    Reacting to continuing stock market woes and perhaps tech industry lobbyin, Trump backed off on tariffs for electronics late last night.Read More
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    Bigger isn’t always better: Examining the business case for multi-million token LLMs
    Are we unlocking new frontiers in AI reasoning, or simply stretching the limits of token memory without meaningful improvements?Read More
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    Alienware Collegiate Clash kicks off Apex Legends championship showdown today
    Alienware is going all in on collegiate esports with the inaugural Alienware Collegiate Clash (AWCC25), featuring Apex Legends.Read More
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    Now it’s TikTok parent ByteDance’s turn for a reasoning AI: enter Seed-Thinking-v1.5!
    It achieved an 8.0% higher win rate over DeepSeek R1, suggesting that its strengths generalize beyond just logic or math-heavy challenges.Read More
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    GamesBeat Summit 2025 speakers will help us navigate back to growth | The DeanBeat
    Get ready. GamesBeat Summit 2025 will take place on May 19 to May 20 at the Marriott Marina del Rey in Los Angeles.Read More
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    Storycraft raises $3M for social AI game to turn players into creators
    Storycraft -- the AI-powered game platform where players create their own interactive story worlds -- has raised a $3 million.Read More
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    Writer unveils ‘AI HQ’ platform, betting on agents to transform enterprise work
    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprise AI company Writer unveiled a new platform today that it claims will help businesses finally bridge the gap between AI’s theoretical potential and real-world results. The product, called “AI HQ,” represents a significant shift toward autonomous AI systems that can execute complex workflows across organizations. “This is not another hype train, but a massive change coming to enterprise software,” said May Habib, Writer’s CEO and co-founder, at a press conference announcing the product. “The vast majority of the enterprise has not gotten meaningful results from generative AI, and it’s been two years. There has never before been such a gap between what the tech is capable of and what the enterprise results have been.” AI HQ is Writer’s answer to this problem—a platform for building, activating, and supervising AI “agents” that can perform sequences of tasks traditionally requiring human intervention. These agents can make decisions, reason through problems, and take actions across different systems with little human oversight. How Writer’s AI agents move beyond chatbots to deliver real business value The announcement comes as many enterprises reevaluate their AI strategies. According to Habib, most AI implementations have failed to deliver substantial value, with businesses struggling to move beyond basic generative AI use cases. “Process mapping is the new prompt engineering,” Habib said, highlighting how the company’s approach has evolved beyond simply crafting the right text prompts to designing entire workflows for AI systems. AI HQ consists of three main components: a development environment called Agent Builder where IT and business teams collaboratively create agents; Writer Home, which provides access to over 100 pre-built agents for specific industries and functions; and observability tools for monitoring and governing agent behavior at scale. During a product demonstration, Writer executives showed how customers are already using these technologies. In one example, an investment management firm uses Writer’s agents to automatically generate fund reports and personalized market commentary by pulling data from Snowflake, SEC filings, and real-time web searches. Another demonstration showed a marketing workflow where an agent could analyze a strategy brief, create a project in Adobe Workfront, generate content, find or create supporting images, and prepare the material for legal review. Enterprise AI that actually works: How Writer’s autonomous agents tackle complex business workflows Writer’s pivot to agent-based AI reflects broader market trends. While many companies initially focused on using large language models for text generation and chat functions, businesses are increasingly exploring how AI can automate complex processes. “Ten percent of the headcount is going to be enough,” Habib told Forbes in a recent interview about the potential workforce impact of agent technologies. This dramatic assertion underscores the transformative potential—and potential disruption—these technologies may bring to knowledge work. Anna Griffin, Chief Marketing Officer at cybersecurity firm Commvault and an early adopter of Writer’s agent technology, spoke during the press conference about the value of connecting previously siloed systems. “What if I could connect our Salesforce, Gainsite, Optimizely? What if I could pull together enough of the insights across these systems that we could actually work to create an experience for our customer that is seamless?” Griffin said. Her advice for others: “Think about the hardest, gnarliest problem your industry has, and start thinking about how agentic AI is going to solve that.” The future of AI learning: Writer’s self-evolving models remember mistakes and learn without retraining The event also featured a presentation from Waseem AlShikh, Writer’s co-founder and CTO, who unveiled research into “self-evolving models” — AI systems that can learn from their mistakes over time without additional training. “If we expect AI to behave more like a human, we need it to learn more like a human,” AlShikh explained. He demonstrated how traditional AI models repeatedly make the same errors when faced with a maze challenge, while self-evolving models remember past failures and find better solutions. “This unique architecture means that over time, as the model is used, it gains knowledge — a model that gets smarter the more you engage with it,” AlShikh said. Writer expects to have self-evolving models in pilot by the end of the year. Inside Writer’s $1.9 billion valuation: How enterprise AI adoption is driving explosive growth Writer’s aggressive expansion comes after raising $200 million in Series C funding last November, which valued the company at $1.9 billion. The funding round was co-led by Premji Invest, Radical Ventures, and ICONIQ Growth, with participation from major enterprise players including Salesforce Ventures, Adobe Ventures, and IBM Ventures. The company has witnessed impressive growth, with a reported 160% net retention rate, meaning customers typically expand their contracts by 60% on average after initial adoption. According to a Forbes report published today, some clients have grown from initial contracts of $200,000-$300,000 to spending approximately $1 million each. Writer’s approach differs from competitors like OpenAI and Anthropic, which have raised billions but focus more on developing general-purpose AI models. Instead, Writer has developed its own models — named Palmyra—specifically designed for enterprise use cases. “We trained our own models even though everyone advised against it,” AlShikh told Forbes. This strategy has allowed Writer to create AI that’s more secure for enterprise deployment, as client data is retrieved from dedicated servers and isn’t used to train models, mitigating concerns about sensitive information leaks. Writer’s ambitions face obstacles in a competitive landscape. The enterprise AI software market — projected to grow from $58 billion to $114 billion by 2027 — is attracting intense competition from established tech giants and well-funded startups alike. Paul Dyrwal, VP of Generative AI at Marriott who appeared at Writer’s press conference, shared advice for enterprises navigating this rapidly evolving field: “Focus on fewer, higher-value opportunities rather than chasing every possibility.” The announcement also comes amid growing concerns about AI’s impact on jobs. While Habib acknowledged that AI will change work dramatically, she painted an optimistic picture of the transition. “Your people are instrumental to redesigning your processes to be AI-native and shaping what the future of work looks like,” she said. “We think that very soon, on a horizon of five to 10 years, we won’t be doing work as much as we will be building AI that does the work. This will create exciting new roles, new AI-related jobs that are interesting and rewarding.” From software vendor to innovation partner: Writer’s vision for AI-native enterprise transformation As Writer positions itself at the forefront of enterprise AI, Habib emphasized that the company sees itself as more than just a software vendor. “We’re not a software vendor here. We see ourselves as more than that. We’re your innovation partners,” she said. “If you want to rebuild your company to be AI-native, if you want to be part of the most important enterprise transformation maybe ever, go sign up to be in the Writer agent beta right now. Together, we can dream big and build fast.” The Agent Builder and observability tools are currently in beta, with general availability expected later this spring, while the Writer Home and library of ready-to-use agents are available to all customers starting today. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.
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    Google introduces Firebase Studio, an end-to-end platform that builds custom apps in-browser, in minutes
    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google has heated up the app-building space, today rolling out a generative AI-powered end-to-end app platform that allows users to create custom apps in minutes.  Today at Google Cloud Next, the tech giant introduced the full-stack AI workspace Firebase Studio.   Devs and non-devs can use the cloud-based, Gemini-powered agentic development platform to build, launch, iterate on and monitor mobile and web apps, APIs, backends and frontends directly from their browsers. It is now available in preview to all users (you must have a Google account).  As of this posting, Firebase Studio was experiencing “exceptionally high demand,” so VentureBeat has not yet had the opportunity to test it out. However, early reaction has been largely positive.  “Google Just COOKED AGAIN! Firebase Studio beats Lovable and Bolt?” wrote one YouTube user offering up a tutorial video. “This could be a GAME CHANGER for developers who want to quickly prototype and build production-ready applications with AI assistance.”  “Feels like Cursor AI meets v0, but free. ?,” another posted to X.  Yet another user reacted: “? It’s like lovable+cursor+replit+bolt+windsurf all in one testing catalog.”  How users can create apps in minutes with Firebase Studio Firebase Studio combines Google’s coding tools Genkit and Project IDX with specialized AI agents and Gemini assistance. It is built on the popular Code OSS project, making it look and feel familiar to many.  Users just need to open their browser to build an app in minutes, importing from existing repositories such as GitHub, GitLab, Bitbucket or a local machine. The platform supports languages including Java, .NET, Node.js, Go and Python, and frameworks like Next.js, React, Angular, Vue.js, Android, Flutter and others.  Users can choose from more than 60 pre-built templates or use a prototyping agent that helps design an app (including UI, AI flows and API schema) through natural language, screenshots, mockups, drawing tools, screenshots, images and mockups—without the need for coding. The app can then be directly deployed to Firebase App Hosting, Cloud Run, or custom infrastructure. Apps can be monitored in a Firebase console and refined and expanded in a coding workspace with a single click. Apps right can be previewed in a browser, and Firebase Studio features built-in runtime services and tools for emulation, testing, refactoring, debugging and code documentation.  Google says the platform greatly simplifies coding workflows. Gemini helps users write code and documentation, fix bugs, manage and resolve dependencies, write and run unit tests, and work with Docker containers, among other tasks. Users can customize and evolve different aspects of their apps, including model inference, agents, retrieval-augmented generation (RAG), UX, business logic and others.  Google is also now granting early access to Gemini Code Assist agents in Firebase Studio for those in the Google Developer Program. For instance, a migration agent can help move code; a testing agent can simulate user interactions or run adversarial scenarios against AI models to identify and fix potentially dangerous outputs; and a code documentation agent can allow users to talk to code.  During preview, Firebase Studio is available with three workspaces for regular users, while Google Developer Program members can use up to 30 workspaces. Gemini Code Assist agents are on the waitlist.  Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.
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    Bowser’s pricing remarks Ninten-don’t offset Switch 2 sticker shock
    The Nintendo Switch 2’s high price point came as a surprise, and not a pleasant one, when it was revealed after the console’s Direct. The console itself is going to cost $450 at launch, $500 if it comes bundled with launch title Mario Kart World. It also revealed that World will cost $80. This seemed like a huge jump up in price from Nintendo’s previous titles, and potentially one that players couldn’t afford. Is this going to be the norm going forward? In an interview with The Washington Post, Nintendo of America president Doug Bowser said that this is part of the company’s “variable pricing” approach to games. “We’ll look at each game, really look at the development that’s gone into the game, the breadth and depth of the gameplay, if you will, the durability over time and the repeatability of gameplay experiences.” He added that the company hadn’t set a benchmark, so players don’t need to expect every game to cost $80 at launch. On the surface of it, this price doesn’t necessarily seem that terrible. After all, the Xbox Series X and the PlayStation 5 with disc drive both cost $500 at launch and those consoles are practically geriatric at this point. However, in this as in all things, Nintendo marches to the beat of a different drummer than its flashier cousins. The original Switch launched with a $300 price tag, the same as its Wii U predecessor, and that seemed like a reasonable price for what was essentially a juiced-up handheld. The price is right — but can we pay it? Even if one doesn’t take into account things like the U.S.A.’s tariffs, which might have played a role in the boosted console price, if not the games, there’s one big problem with Bowser’s remark about variable pricing: Doesn’t it mean that we could potentially pay more for some games in the future? Saying, “Yes, this is the new normal, get used to it,” would be one thing, but at least then we’d have a concrete idea of what to expect. Even if we take the most generous interpretation of his words to mean that they charged a princely sum for Mario Kart World because it has replayability; deep, rich gameplay; and a lengthy development cycle, it’s still not exactly reassuring. First, because Mario Kart titles often get new tracks post-launch that cost even more money — see for example, Mario Kart 8’s Booster Course Pass. Second, because this is the title that Nintendo wants to use to sell its new console. That’s the price that’s meant to appeal to hungry consumers. Gaming has been getting, and will continue to get, more expensive by the year. I don’t necessarily blame Nintendo for asking us to pay more for their titles. But telling us that this might not be the limit is not exactly the reassurance that Bowser and Nintendo were probably hoping it would be. GB Daily Stay in the know! Get the latest news in your inbox daily Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.
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    The wonder and controversy of bringing back the dire wolf from extinction | Colossal Biosciences interview
    As soon as Colossal Biosciences declared that it brought the dire wolf back from extinction, everyone felt a sense of wonder. George R.R. Martin himself, who popularized the dire wolf as Jon Snow’s Ghost in A Song of Ice and Fire, posed for a picture with the pups to be part of a historic scientific achievement. He wept at the sight of the snowy fur of the white wolves. To me, along with Colossal Biosciences’ other work of making mice with the hair of wooly mammoths, the work was a reminder of what science can achieve when it’s supported with an amazing amount of talent and capital — Colossal Biosciences has raised $435 million at a valuation of $10.2 billion. It is the stuff of science fiction, as Michael Crichton wrote Jurassic Park based on the notion that genetic material could be recovered for dinosaurs and they could be brought back to life. Colossal’s chief aim is to bring back the wooly mammoth, the dodo and the thylacine. The computing power and the genetic tools finally exist to make that science fiction into reality — which is one of my favorite topics in the world and why I’m straying from games to write about this. After all, the only thing better than the intersection of science fiction, tech and games is the intersection of science fiction, tech and Game of Thrones. The scientists extracted DNA from recovered fossils a tooth from Sheridan Pit, Ohio, where the fossil was 13,000 years old, and an inner ear bone from American Falls, Idaho, that was 72,000 years old. Some critics felt like attacking the company for pulling some kind of scam for dressing up dogs as an extinct species because they used too little of the original dire wolf DNA. More seriously, some say that it was the creation of a brand new species by humans, not the bringing back of a vanished species. Of course, some people had to rain on the parade. Colossal Biosciences saw the objections that some scientists had about how these were not really dire wolves and that they were more like dogs, and that the amount of DNA they had to work with was insufficient. I can’t say, but them wolves sure do look like Ghost, Jon Snow’s dire wolf in Game of Thrones. Kidding aside, we’ll see how their work will stand up to scientific scrutiny soon enough. Here’s the statement that the company issued after the criticism: Only two specimens were available to use to rebuild the dire wolf’s DNA. We understand that some scientists are not comfortable calling these dire wolves because they feel like the wolves are not sufficiently genetically similar to an extinct individual to merit that name. That’s OK with us. We can disagree about what makes a dire wolf qualify as a dire wolf, or what makes a mammoth qualify as a mammoth. Colossal has 500 times more data than anyone has ever had on a dire wolf. We have had a small army of people doing comparative genomics to wolves and other canids for the last 18 months with this proprietary data set. We know what makes a dire wolf a dire wolf including that it is not closer to a jackal. We will be submitting that data next week for peer review. Colossal has always said that we are doing functional de-extinction where are looking to de-extinct the core genes that make a species a species as it relates to their phenotypes or physical attributes. All animals on this planet are ad mixtures. Just like a polar bear is a white adaptive bear compared to a brown bear a dire wolf is a plasticine wolf when compared to a grey wolf – it is 20% to 25% percent larger, more muscle mass, has an arctic white coat, is stronger and bigger, and has cranial facial structure. We have identified the genes that drive those phenotypes and de-extincted them as we are doing on all our projects. The scientific community does not agree on how to classify species because it is a man-made construct that does not apply to nature and that is why there are so many variants of it. Under several of the variants the dire world would be classified as a dire wolf. We are calling it a dire wolf because it is a dire wolf. If you do not want to call it a dire wolf you can always call it Colossal’s dire wolf. Our interview If I were a sheep, I would not want the dire wolf back. In my interview, Colossal Biosciences’ leaders told me that they had abided by ethical procedures in their recovery work. They say that half the species on earth are in danger of going extinct in the next 50 years, and that would be part of an ecosystem collapse like we have never seen. Saving species from extinction is also applauded by indigenous peoples that Colossal Biosciences consulted as it proceeded. It’s interesting that these people can see their myths come back to life, and it conjures thoughts on what it means to play God with science. But rather than play God, the team believes it is saving animals — including some that are gone because of humans. After the announcement yesterday, I interviewed Colossal Biosciences’ CEO Ben Lamm and Beth Shapiro, an evolutionary biologist who specializes in the genetics of ice age animals and plants. She is also chief scientist at Colossal. As professor of ecology and evolutionary biology at UC Santa Cruz and HHMI Investigator, Shapiro was instrumental in the work. She uses DNA recovered from bones and other remains to study how species evolved through time and how human activities have affected and continue to affect this dynamic process. Here’s an edited transcript of our interview. I don’t think we’ll get to the bottom of who is right about whether this is de-extinction or a false claim for a while. But the subject is fascinating and I hope it will make us think about de-funding science in the current administration. Ben Lamm (left) and Beth Shapiro of Colossal Biosciences. VentureBeat: How much time has it taken you to get to this point? Ben Lamm: We’ve been building the de-extinction toolkit since 2021, when we launched the company. Obviously we announced the woolly mouse a month and a half ago, which you’re aware of. We started the dire wolf project about 18 months before we birthed the first dire wolves in October 2024. VentureBeat: How do you extract DNA successfully from such an old fossil? Beth Shapiro: This is the science I’ve been doing in my academic career since 1999. The first time anyone successfully extracted DNA from something that wasn’t alive was in 1984. It inspired Michael Crichton to write Jurassic Park. The field has gotten a lot better since then. We’re much better at extracting DNA from older remains. It used to be that we could only get things from remains preserved in the Arctic, where they were frozen. But we’re much better at extracting from things in warmer places. The record for the oldest DNA that’s been recovered from a bone is a mammoth bone that’s between 1 million and 2 million years old. Probably closer to 2 million. But most of the DNA we’ve recovered dates to the last several tens of thousands of years. One of our dire wolves is actually 72,000 years old, making it one of the oldest genomes that’s ever been recovered and extracted to date. We did the DNA extraction with some academic collaborators. It was done at my lab at the University of California Santa Cruz. We’re the Paleogenomics Lab. We’ve been pioneering new technologies for getting DNA out of old remains, things like rootless hairs and all sorts of cool stuff that’s going on. The DNA is not in good condition. If I were to extract DNA from a cheek swab of my own face, I could get strands of DNA that were tens to hundreds of millions of letters long. The DNA we get out of the dire wolf bones is maybe 35 letters long. We have to extract millions to hundreds of millions to billions of fragments and then use a computer to figure out how they line up against the genome of something that’s still alive, where we have a good quality genome, to piece it together. That was step one. Get the DNA out of old bones, line them up to reconstruct the dire wolf genome, and then compare that – again, with a computer – to a grey wolf genome, a coyote, jackals and all sorts of other canids, wolf-like animals, to figure out what its closest living relative is, and then what genetic variations make it uniquely dire wolf. We knew that dire wolves are most closely related to grey wolves. They’re about 99.5% genetically identical to grey wolves. They look a lot like grey wolves except they’re larger and more muscular. They have different hair patterns, different length and thickness and color. We learned by looking at our grey wolf genomes that dire wolves are light colored in code, which is cool. Obviously we didn’t know that looking at bones. But from the genome we could learn that.. VentureBeat: It seems like George R. R. Martin had done his homework. Lamm: He actually cried when he first saw them. He was so excited. Beth Shapiro, George R.R. Martin and Ben Lamm. VentureBeat: I remember taking a class at Berkeley in anthropology. They were telling us way back then that a very small percentage of DNA separated us from the apes. It sounds like that works in your favor. You can rebuild it by finding a small percentage of DNA. Shapiro: We focused specifically on DNA variants that were most likely to bring back these key traits – the size, the hair patterns, the musculature of dire wolves. It’s not possible to re-create something that’s 100% genetically identical to something that used to be alive, but that’s not the goal of de-extinction. Our goal is to re-create these phenotypes, these key traits, so that we can put these animals back into ecosystems and restore missing components of those ecosystems. VentureBeat: How do you know that the DNA sequence is not somehow messed up? How do you make sure you won’t get some weird variant of a dire wolf instead of the real thing? Shapiro: We’re focusing specifically on DNA variants that are in both of our dire wolf fossils, and we know what they do. That’s one of the other really good things about working with dire wolves. We know a lot about grey wolves. Everyone has their own favorite grey wolf. Mine is right here. Because of that we have lots of information about DNA sequence variants and what they do. We know a lot about what causes eye color, hair texture and thickness and density. When we see particular variants in the dire wolf genome, we can predict with confidence what they’re going to do. One of the benefits of starting with the dire wolf project is that–it’s not easy at all, but it’s simpler than some of our other announced species as far as getting to a predictable phenotype. Obviously we want a healthy animal that expresses these traits that have been extinct. Finding a way to get there using DNA and genome editing, and then cloning, is going to be hard with every animal, but with some animals there are steps that we’re better at already. VentureBeat: With a woolly mammoth being so different from an elephant today, would that task be bigger? Colossal Biosciences brought the dire wolf back from extinction. Lamm: They’re really not. Asian elephants are 99.6% the same genetically as woolly mammoths. They’re actually more closely related to mammoths than they are to African elephants. Shapiro: The challenge with elephants is that we know a lot less about elephants than we do about grey wolves. We know a lot less about elephant animal reproductive biology than we do about grey wolf reproductive biology. We have partners in elephant sanctuaries, elephant conservation organizations on the ground. We’re developing new tools and protocols that will benefit elephant conservation as we learn about what we need to do to make our mammoths. But with grey wolves, a lot of that was already known. We could ride on the shoulders of scientific research that’s happened over the last several decades. For the animal reproductive biology part, that is, not the ancient DNA part, which is brand new. We had to do that ourselves. VentureBeat: That reproductive biology seems pretty interesting in itself, the idea of interspecies gestation. Is that not rocket science so much? Shapiro: It’s hard. But the surrogates for our dire wolves were large domestic dogs, hounds. Domestic dogs have, in the past, birthed grey wolves. They’ve never birthed dire wolves before. But because they’re so genetically similar to each other, we predicted that this would be–it’s not one of the many challenges. We’ll have challenges like that when we move to, for example, the dunnart and the thylacine. They’re more distantly related. We’ll get there. Interspecies cloning has happened before, including things as distantly related as the two different camel species, the one-humped camel and the two-humped camel. It’s just harder. As this technology gets better, it’s also benefiting conservation more broadly. We want to develop technologies to have common species be able to be surrogates for rare species or more endangered species. Again, this is another way that Colossal’s work is contributing to developments that have real utility for conservation. VentureBeat: From here you do go to enable them to breed among themselves, to repopulate? Lamm: We’ve made three. We’re probably going to make another three to five more so we get the right pack dynamics. They live in a 2,000-acre ecological preserve with 10 full-time care providers. They live a seemingly wild life. Six and a half acres of that is a sub-preserve where we have animal husbandry, an animal hospital, storm shelters, natural dens and whatnot, feeding, all that stuff. That’s where they live today. Long term, we’re in talks with MHA Nation and other indigenous people groups that relate them to great wolf in their mythology, in their cultures and their oral traditions. They want them potentially back on their own land. We’re working with them on a potential long-term rewilding plan back to, once again, very secure expansive ecological preserves. VentureBeat: This is a funny question for a serious subject, but I can think of some sheep that would rather not see the dire wolf back. How do you think about that? Lamm: We keep them very separate. There’s a whole lore about wolves in general. But interesting enough, only .02% of wolves ever attack anything livestock-related. It’s very rare. If that ever happens, it’s subsidized by the government. Not that it’s a good thing, but the wolves are–our goal is to never put the wolves back near ranching-type communities. VentureBeat: I don’t know if this is an ethical issue or just an ecosystem issue, but bringing things back that are gone–does that carry with it some decisions about what you ought to do? If you brought a tyrannosaurus back, there are parts of the ecosystem that wouldn’t appreciate it. That’s an extreme example, but I do wonder how you think about these things as you go about the work. Ben Lamm holds one of the dire wolf pups. Shapiro: Our goal for de-extinction is to create technologies, and that includes species that are able to help ecosystems that are threatened because of things that people have done to them today, whether extinction or continued decline, to be able to stabilize. When we make a decision about what species to bring back, we have to understand that there’s a place for them to go, that we’ve corrected whatever wrong it was that caused them to become extinct – like rats with the dodo on Mauritius – and that there are communities of people that want these species here. The dire wolf project was launched after long collaboration and conversation with our indigenous partners, who see this as a culturally important species. They’re willing and would like to become stewards of the species in the long term. There’s a lot of thought that goes into choosing a species for de-extinction. As we do this, we’re developing technologies that we will be able to apply directly to protect and preserve species that are still alive. Some people are always going to be fearful of any sort of new technology. Not even a biotechnology, but any new technology. It’s important that we remember that if we decide not to reach into the trenches of human ingenuity and come up with these new tools and apply them, that’s also an active choice. It’s not just passively saying, “This is too scary. I won’t do it.” It’s an active choice that has consequences. We know what those consequences are. Half the species that are alive today are in danger of becoming extinct in the next 50 years. Habitats around the world are changing at a rate faster than evolution can keep up. If we don’t develop and deploy these technologies, the future will be much less biodiverse than it is today. That’s not a risk I’m willing to take. VentureBeat: Were you all into science fiction when you were younger? Lamm: I was always into science fiction as a kid. I’ve always loved building technologies that are in the future, for sure. I’ve always been fascinated with the concept of de-extinction. VentureBeat: I’ve been fascinated lately with the intersection of things like entertainment, technology, and science fiction. Lamm: We need wins, right? We need people to be excited about technology. We live in a 24-hour news cycle. We’re not reaching kids that much. If we can inspire the next generation, that’s great. VentureBeat: Is there a way that you can also profit from this? What is the ultimate business you think Colossal Biosciences can enable so that you can keep on doing this? Lamm: From a technology perspective, we’ve already spun out three companies. Two of them we’ve announced. One is Breaking, our plastic degradation company. Our first was Form Bio, our computational biology firm for human health care. We’ve done a good job of monetizing the technologies. We’re solving very complicated genome engineering tools and building very complicated solutions to reading ancient DNA. DNA is simply comparative genomics. Embryology and multiplex editing, being able to edit a lot of the genome at the same time. It’s a very powerful thing that we’re working on. It has hundreds of millions of dollars of economic value, in the technologies alone, for human health care. We can easily subsidize our work for conservation. VentureBeat: Conservation gets the benefit of those profitable technologies. Lamm: Right. All the technologies we make on the path to de-extinction, we make them available for free for conservation. In addition to that, we also launched the Colossal Foundation, colossalfoundation.org. In addition to the $435 million we raised for Colossal, we also raised $50 million for our foundation. VentureBeat: At this point, then, does it feel like you’re in a self-sustaining enterprise? Lamm: We have no problem raising capital right now. That’s a good thing. As long as that continues, we’ll be in a good spot. VentureBeat: Have you gotten any interesting feedback? Whether it’s kids or– Lamm: Every single week we get kids sending stories to us. Shapiro: Lots of drawings. Lamm: We get drawings from kids and parents. We get letters from teachers thanking us. They’re inspired. We get a lot of great feedback. We’re bringing more awareness to conservation. Any time you can inspire kids, bring back species that have cultural importance to indigenous people groups, and make technologies to save species from this mass extinction we’re currently in, where we’re going to lose up to 50% of biodiversity, it’s a massive win. I’m inspired by the combination of all that. Cloning is a key element of bringing back extinct species. Shapiro: I’m just excited to finally be able to tell people about this. VentureBeat: How long was it a secret for you? Lamm: It was 18 months to October, and then another six months. Shapiro: A two-year secret. VentureBeat: Was there ever any government crossover with this? Lamm: The Secretary of the Interior, Doug Burgum, just put out a statement on X about us. They’re endorsing our work on dire wolves, as well as acknowledging that de-extinction is critical technology for conservation. We’ve been educating the Department of the Interior on the power of these technologies for conservation. VentureBeat: How do you keep the dire wolves surviving from here, and not going extinct again? Lamm: We have them in a managed facility, that 2,000-acre expanse of ecological preserve. They live there with 10 full-time caretakers. Beyond that, any rewilding project–if you look at Yellowstone wolf rewilding, or some of the stuff that’s happening in Europe, or some of the world we’re doing with the Tasmanian tiger in southern Australia and Tasmania, it’s a very stage-gated process. They will be under some form of managed care. It may take five to 10 years to fully reintroduce them back into the wild in a managed way. The dire wolves at one month. VentureBeat: What else looks promising, or what else is coming next for you? Lamm: We’ll continue to work on our three flagship projects: the woolly mammoth, the Tasmanian tiger, and the dodo. We’re making tremendous progress. Based on the success of the dire wolf, we’ll probably look to add additional species on the avian side, as well as on the mammalian side, over time. VentureBeat: How are we doing at finding fossils of everything now? Lamm: They’re not really fossils, because fossils are rocks. But there’s actually a decent amount of ancient DNA, in various forms. It’s constantly a roll of the dice to see what we get. Occasionally we get nothing. Occasionally we get a lot more than we expected. VentureBeat: Do you ever find anything in amber, like in Jurassic Park? Lamm: Amber is actually a terrible material for preserving DNA. It’s very porous. VentureBeat: Did you have to attempt more than one generation to get to the three dire wolves? Lamm: We were done in one generation. VentureBeat: So it’s not as if any attempts started and died. Lamm: No, no. We spent a lot of time on the computational analysis to identify the edits. We spent a lot of time on genetic engineering. We spent a lot of time on quality control and sequencing on the back end. The dire wolf at five months old. VentureBeat: What kind of hardware was behind the computation? Lamm: We use a bunch of computational analysis with a bunch of external partners for compute, some cloud and some internal. We’ve built a lot of AI models. Without the intersection of these synthetic biology tools, AI, and access to compute in the cloud, this would be an impossible project. A lot of it’s human thinking, though. One thing we have, which is in the pictures, is a laser-assisted–this is some of the technology we had to build. We built a laser-assisted somatic cell nuclear transfer system. We use lasers to drill holes in the outer shell of the embryo so that it’s less hard on the DNA when we do DNA extraction and the insertion in the somatic cell nuclear transfer process. VentureBeat: When you think of some of the hardest problems that are out there, where would you put this as far as the scale of difficulty? Lamm: I’d argue that this is the moon landing of genetics. This is insanely hard. We took a 13,000-year-old tooth and a 73,000-year-old skull and we made puppies. We did it in 18 months. When you think about that–we understand what genes made a dire wolf a dire wolf. I said this in my quote, so I’m not trying to paraphrase, but it’s magic. It really is. What’s funny is, we’re only a couple of years old. We just launched the woolly mouse, which was the precision germline edited animal, multiplex animal in the world until now. We’re scaling the technology up quickly. We’ll continue to hopefully make advancements that keep the world happy. VentureBeat: Is there a species you can think of that, if you brought it back, could save the world? Shapiro: The technology is there to save the world. There’s not a single species out there that would save the world, unless humans went extinct. Shapiro: Ecosystem restoration. Stopping the loss of biodiversity, or at least slowing it. Using evolutionary innovation–we have a project with collaborators in Australia where we’ve taken a cell line from a quoll, which is an endangered little carnivorous marsupial. It’ll probably become extinct within the next 10 years without this technology. They eat cane toads, which were introduced to Australia, and they die from the cane toad toxin. We and our collaborators have made a version of the quoll that includes a single change to a protein sequence that evolved in an animal that lives on the other side of the planet that eats toxic cane toads. We put it in the quoll and they can eat the toxic cane toad and not die. It’s that sort of technology, that innovation–we’re discovering what a gene does, transferring that to a different species, and making an animal out of that. Lamm: That one single nucleotide change, one letter in the genome, conferred 5,000 times the resistance to cane toad toxin. VentureBeat: There was Dan Brown’s book Origin, which was about AI concluding that humans were too much of a threat to the Earth to allow them to survive. Maybe if the AI knew about you guys it might not have felt the same way. Shapiro: I think we have a pretty poor track record, as far as being good or bad to the Earth as a species. Maybe we need more training data. This is the entry of some new training data into the model. Eventually we might not be the bad guys. GB Daily Stay in the know! Get the latest news in your inbox daily Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.
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