Next week, the former president of “Grant Theft Auto” maker Rockstar North launches his first title since leaving the Take-Two Interactive-owned video game developer and opening his own studio, Build A Rocket Boy: the AAA narrative-driven action-adventure thriller “MindsEye.” Published by IOI Partners, the team behind the “Hitman” franchise, the Unreal Engine 5-built game will debut June 10 across PlayStation 5, Xbox Series X and S, and on PC via Steam and Epic Games Store with a $59.99 price tag for the standard edition. Related Stories Set in the near-futuristic city of Redrock, “MindsEye” puts players into the role of Jacob Diaz, a former soldier haunted by fragmented memories from his mysterious MindsEye neural implant, as he uncovers a conspiracy involving rogue AI, corporate greed, an unchecked military, and a threat so sinister that it endangers the very survival of humanity. Popular on Variety But the base story isn’t the biggest draw for “MindsEye,” which includes Build A Rocket Boy’s proprietary Game Creation System, that enables players to, well, “craft anything in their minds eye.” Per the studio, “Players can craft their own experiences using all of the ‘MindsEye’ assets, creating everything from custom missions to entirely new scenarios within the game’s expansive, richly detailed world. Whether you’re designing a high-speed chase through Redrock’s bustling cityscapes or a stealth mission in its industrial outskirts, it is designed to be intuitive and easy to use, ensuring that players of all skill levels can bring their imagination to life.” Benzies’ Edinburgh-based Build A Rocket Boy has promised “fresh premium content” will rollout monthly for the game, including regular releases of new missions, challenges and game assets. While “MindsEye” is the first title from Benzies since he launched BARB after leaving Rockstar in 2016 (Benzies was the lead “Grand Theft Auto” developer across the third through fifth games in the franchise, as well as “Grand Theft Auto Online,” and was in a legal battle with parent company Take Two over unpaid royalties from 2016 until 2019), it’s just step one in the prolific producer’s plan to shake up the gaming industry. “At Build A Rocket Boy, our vision goes far beyond a single title,” Benzies told Variety. “‘MindsEye’ is the first episode and central story around which ever-expanding interconnected episodes will span. We’re already working on future episodes, which will introduce alternate realities while maintaining it’s core themes of hope, redemption, and the intrigue of civilizations past and future, drawing from the lore and multiverse concepts.” See Variety‘s full interview with Benzies below, including the inevitable comparisons that will be drawn between “MindsEye” and the aesthetic of the “GTA” franchise, and his hopes for Rockstar Games’ highly anticipated and much-delayed “GTA 6.” Where did the concept for “MindsEye” come from? I pull a lot of inspiration from the real world. Watching the actions of humans – their foibles and their virtues. Watching the advancement of technology and how we adapt, or indeed, do not adapt. We’ve been moving to an automated world for many years now, and the impact on humans, especially with recent advancements in AI, which serves as good fodder for a story and even better for a video game. I think we all have this little nagging feeling about how humans and AI will blend together in the future—will it go smoothly, or will it turn sinister? We’re fans of all different types of media, and we’ve drawn influence from cinematic visionaries like Ridley Scott, Paul Greengrass, Christopher Nolan, and J.J. Abrams, and films like “The Bourne Identity,” “Memento,” and TV series “Lost” — they’re all exploring memory, perception, and control in their own ways. So, while we nod to those influences here and there, we wanted to build something that feels fresh, grounded in today’s world, but still asking the kinds of questions that have always made this genre powerful. With your “GTA” roots, obvious comparisons are already being drawn between the style and aesthetic of that franchise and “MindsEye.” Comparisons will always be made—it’s the way human beings pigeonhole concepts. But “MindsEye” isn’t built to fit into anyone else’s box. Many games share the same core elements: cars, guns, cities, and charismatic characters, and differentiation is even tougher in today’s entertainment landscape. Streaming, social media, and on-demand binge culture have fractured attention spans, and consumer mindshare is a brutal battlefield for all IP. Our industry continues to celebrate each other’s breakthroughs, and I’m proud that our collective innovation is advancing the medium of gaming, even if our paths diverge. As an independent studio we have the freedom to break ground in experimental new ways and the challenge is balancing innovation with familiarity—too much “new” risks alienating fans, too much “same” feels stale. It’s about nailing what makes your game’s world feel alive and urgent. “MindsEye” is about consequence and connection—it’s cinematic, reactive, and meant to feel like a world you’re not just playing in, but able to create in it too. We’re excited to see what they’ve crafted with “GTA VI ,” and I can’t wait to play it as a consumer for the first time. They’re always delivering something new, unique and at a scale that very few can pull off. What does MindsEye represent in BARB’s larger vision and long-term strategy? Are you plotting this out as a multi-game franchise or your first standalone? At Build A Rocket Boy, our vision goes far beyond a single title. “MindsEye” is the first episode and central story around which ever-expanding interconnected episodes will span. We’re already working on future episodes, which will introduce alternate realities while maintaining it’s core themes of hope, redemption, and the intrigue of civilizations past and future, drawing from the lore and multiverse concepts. It’s the future of entertainment to allow active participation so players feel like they have agency and can immerse themselves in our world as they want to. We are introducing three products in one game that will revolutionize AAA-quality interactive gaming and storytelling: “MindsEye” narrative story, Play.MindsEye, and Build.MindsEye. In our tightly crafted action-noir, “MindsEye” narrative story we have rips in time accessed through portals at strategic points throughout the game – so while you play as Jacob Diaz on his personal journey, players can also explore side stories and delve deeper into the backstories of characters they encounter along the way. In this way we are delivering companion content at the same time as the anchor content, weaving a rich narrative tapestry which will continue to evolve and expand giving greater depth to characters so you understand their personality and motivations. How do digital products Play.MindsEye (formerly named Arcadia) and Build.MindsEye (formerly Everywhere) tie in to plans for “MindsEye” and what BARB wants to offer gamers? In this new era of entertainment, where streaming platforms, boom-and-bust games, and an on-demand culture dominate, we’re pushing things in a new direction—with an interface that simplifies how we consume not just games, but all forms of entertainment. Consumers are moving away from 2D browsing into fully 3D, immersive experiences. Put simply, we’re shifting from passive interaction to active participation. As with all new products, things evolve. Arcadia was originally envisioned as our creation platform, but as we continued developing “MindsEye” and building out BARB’s ecosystem, it naturally grew into something more focused— Play.MindsEye and Build.MindsEye. Play delivers cinematic, high-intensity gameplay with missions and maps that constantly evolve. Build gives players intuitive tools to create their own content—no technical skills required, just imagination and intent. For BARB to fully realize our vision, we had to beta test our creation system with a community of builders in real-time and started with Everywhere while we were in stealth mode developing MindsEye. How did you settle on IOI as publishing partner? We’ve always found the way IOI handled the “Hitman” franchise interesting. They are one of the few publishers that have taken their single-player IP and increased their player count and amplified their community culture over time. From a technology point of view, their one executable approach for all of their content is very smart, and we always planned to have a similar approach, which encouraged us to join forces. This interview has been edited and condensed.

After a while, Danae Shell got tired of hearing the same story over and over again.  “Something bad would happen to someone at work, and the story always ended the same way,” she told TechCrunch. “They just left, because doing anything else was incredibly complex and expensive.”  One doesn’t need to look far to notice that for many people, seeking legal recourse feels so daunting and complex that many just don’t try. Even for someone with a cushy tech job, the prospect of going against their company is daunting. That bothered Shell so much that in 2022, she launched Valla, which seeks to make legal support more accessible to workers.  The company focuses on employment law, and since its launch, it says, more than 12,000 workers have successfully brought complaints against employers and negotiated settlements. “The basic thesis of Valla was, ‘If we can build tools that let someone file their tax return from their mobile phone, surely we can build something that can help them manage their own legal issue,’” Shell said. Valla platform enables users to collect their own evidence, generate documents, and then talk to legal experts who “coach” them through what the legal process would be for each stage of their case. For example, Shell said, a user can keep track of an ongoing issue at work, draft a Tribunal claim, and then purchase a coaching package to prepare for the preliminary hearing. Techcrunch event Save now through June 4 for TechCrunch Sessions: AI Save $300 on your ticket to TC Sessions: AI—and get 50% off a second. Hear from leaders at OpenAI, Anthropic, Khosla Ventures, and more during a full day of expert insights, hands-on workshops, and high-impact networking. These low-rate deals disappear when the doors open on June 5. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you’ve built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | June 5 REGISTER NOW Like nearly every other startup these days, Valla uses AI to streamline knowledge transfer. “The GenAI engine in our platform acts as a legal secretary in the background,” Shell said. “It does everything from briefing the coach on the case, taking notes and actions during any calls, and picking up all the admin and reminders as the case progresses.”  Investors seem to like what they see at Valla: Today, the company said it had raised a £2 million (about $2.7 million) seed round led by Ada Ventures. Active Partners and Portfolio Ventures, as well as returning investors Techstart and Resolution Foundation, also invested.  Shell said Valla started using generative AI in early 2023 and paired with the early traction her product received, that helped investors see the potential of her product.  The company will use the fresh capital to boost marketing, build relationships with worker unions and insurers, and build more AI features within the platform. After employment law, Shell said the company hopes to expand into small claims and tenancy.  “Then we will broaden out to other geographies,” she said. “We’re already looking at opportunities in the U.S. and Europe.” 

Scholars of gender and sexuality have been exploring ‘queer spaces’ for over six decades. While for many years homes and domesticity remained out of focus or at the margins of queer space research, a recent ‘domestic turn’ has brought queer people’s homes to the foreground. Queer Spaces (2022), a recollection of case studies of queer domestic spaces edited by Joshua Mardell and Adam Nathaniel Furman, is just one significant work within the recent shift to explore the intersection of queer identities and domesticity, for example. Disobedient Dollhouse No.1, 2023, Photography by Sophie Percival Over the past four years I have documented the homes of LGBTQ+ people and come to understand how they inhabit them through interviews, detailed spatial drawings and the creation of dollhouses. This methodology deliberately subverts traditional architectural model-making conventions, emphasising narrative over spatial clarity, interior qualities over façades, and incorporating elaborate details that standard architectural models typically avoid. While this may feel like a rather unusual pursuit for an architect, it’s also one I feel is necessary and urgent. Disobedient Dollhouse No.1, 2023, Photography by Sophie Percival My current research builds upon years of professional practice in London and scrutinises the limitations of standardised design approaches. Through interviews and detailed spatial surveys, I am examining how queer families navigate living spaces designed according to the London Plan’s Housing Design Guide.Advertisement Early findings from my field work show a chasm between the queer daily lives of some of London’s LGBTQ+ families and the rigid homes the standard produces. In cases where spatial flexibility is available within domestic architecture, wonderful, innovative, caring and radical uses of domestic space emerge, enabling queer forms of raising children or coexisting with current and former lovers. These are not just joyful nice-to-haves, but essential for my participants to live their queerness at home, in full. Homes should not just be where queer folk feel safe; they must also be spaces where our queerness flourishes. Disobedient Dollhouse No.1, 2023, Photography by Sophie Percival The housing emergency in the UK and most of the Western world has urged architects, planners and developers to focus on an increased delivery of ‘units of housing’. Perhaps unsurprisingly, my early findings suggest that this sense of urgency risks under-delivering on quality and space. Housing standards have codified aesthetic, functional, and spatial homogeneity. They reproduce conservative ideals of housing and family at a time when families are growing more and more diverse. All the while, with the expansion of permitted development rights, they are failing to deliver an overall improvement in size and quality of the UK’s housing stock. Disobedient Dollhouse No.1, 2023, Photography by Sophie Percival The need for an alternative, open-ended and, perhaps, queer toolkit to design homes – one that expands the ethical and aesthetic horizons of housing design – has never been more urgent. I am therefore also working on developing my ‘disobedient dollhouse making’ as a design tool. One that puts future users at the centre, allowing them to fabulate a different horizon for housing design. My aim is to use dollhouses as a ‘serious’ design game that enables participants to explore the true possibilities of housing beyond the ‘straightjacket’ of the standard. Follow Daniel Ovalle Costal’s research at @QueerDomCanon on Instagram 2025-06-03 Fran Williams comment and share

Modern software engineering faces growing challenges in accurately retrieving and understanding code across diverse programming languages and large-scale codebases. Existing embedding models often struggle to capture the deep semantics of code, resulting in poor performance in tasks such as code search, RAG, and semantic analysis. These limitations hinder developers’ ability to efficiently locate relevant code snippets, reuse components, and manage large projects effectively. As software systems grow increasingly complex, there is a pressing need for more effective, language-agnostic representations of code that can power reliable and high-quality retrieval and reasoning across a wide range of development tasks.  Mistral AI has introduced Codestral Embed, a specialized embedding model built specifically for code-related tasks. Designed to handle real-world code more effectively than existing solutions, it enables powerful retrieval capabilities across large codebases. What sets it apart is its flexibility—users can adjust embedding dimensions and precision levels to balance performance with storage efficiency. Even at lower dimensions, such as 256 with int8 precision, Codestral Embed reportedly surpasses top models from competitors like OpenAI, Cohere, and Voyage, offering high retrieval quality at a reduced storage cost. Beyond basic retrieval, Codestral Embed supports a wide range of developer-focused applications. These include code completion, explanation, editing, semantic search, and duplicate detection. The model can also help organize and analyze repositories by clustering code based on functionality or structure, eliminating the need for manual supervision. This makes it particularly useful for tasks like understanding architectural patterns, categorizing code, or supporting automated documentation, ultimately helping developers work more efficiently with large and complex codebases.  Codestral Embed is tailored for understanding and retrieving code efficiently, especially in large-scale development environments. It powers retrieval-augmented generation by quickly fetching relevant context for tasks like code completion, editing, and explanation—ideal for use in coding assistants and agent-based tools. Developers can also perform semantic code searches using natural language or code queries to find relevant snippets. Its ability to detect similar or duplicated code helps with reuse, policy enforcement, and cleaning up redundancy. Additionally, it can cluster code by functionality or structure, making it useful for repository analysis, spotting architectural patterns, and enhancing documentation workflows.  Codestral Embed is a specialized embedding model designed to enhance code retrieval and semantic analysis tasks. It surpasses existing models, such as OpenAI’s and Cohere’s, in benchmarks like SWE-Bench Lite and CodeSearchNet. The model offers customizable embedding dimensions and precision levels, allowing users to effectively balance performance and storage needs. Key applications include retrieval-augmented generation, semantic code search, duplicate detection, and code clustering. Available via API at $0.15 per million tokens, with a 50% discount for batch processing, Codestral Embed supports various output formats and dimensions, catering to diverse development workflows. In conclusion, Codestral Embed offers customizable embedding dimensions and precisions, enabling developers to strike a balance between performance and storage efficiency. Benchmark evaluations indicate that Codestral Embed surpasses existing models like OpenAI’s and Cohere’s in various code-related tasks, including retrieval-augmented generation and semantic code search. Its applications span from identifying duplicate code segments to facilitating semantic clustering for code analytics. Available through Mistral’s API, Codestral Embed provides a flexible and efficient solution for developers seeking advanced code understanding capabilities.  vides valuable insights for the community. Check out the Technical details. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. Sana HassanSana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.Sana Hassanhttps://www.marktechpost.com/author/sana-hassan/Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language ModelsSana Hassanhttps://www.marktechpost.com/author/sana-hassan/This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation Framework for Efficient Large Language Model InferenceSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Apple and Duke Researchers Present a Reinforcement Learning Approach That Enables LLMs to Provide Intermediate Answers, Enhancing Speed and AccuracySana Hassanhttps://www.marktechpost.com/author/sana-hassan/National University of Singapore Researchers Introduce Dimple: A Discrete Diffusion Multimodal Language Model for Efficient and Controllable Text Generation

Editor’s note: This blog, originally published on October 28, 2024, has been updated. Financial losses from worldwide credit card transaction fraud are projected to reach more than $403 billion over the next decade. The new NVIDIA AI Blueprint for financial fraud detection can help combat this burgeoning epidemic — using accelerated data processing and advanced algorithms to improve AI’s ability to detect and prevent credit card transaction fraud. Launched this week at the Money20/20 financial services conference, the blueprint provides a reference example for financial institutions to identify subtle patterns and anomalies in transaction data based on user behavior to improve accuracy and reduce false positives compared with traditional methods. It shows developers how to build a financial fraud detection workflow by providing reference code, deployment tools and a reference architecture. Companies can streamline the migration of their fraud detection workflows from traditional compute to accelerated compute using the NVIDIA AI Enterprise software platform and NVIDIA accelerated computing. The NVIDIA AI Blueprint is available for customers to run on Amazon Web Services, with availability coming soon on Dell Technologies and Hewlett Packard Enterprise. Customers can also use the blueprint through service offerings from NVIDIA partners including Cloudera, EXL, Infosys and SHI International. Businesses embracing comprehensive machine learning (ML) tools and strategies can observe up to an estimated 40% improvement in fraud detection accuracy, boosting their ability to identify and stop fraudsters faster and mitigate harm. As such, leading financial organizations like American Express and Capital One have been using AI to build proprietary solutions that mitigate fraud and enhance customer protection. The new AI Blueprint accelerates model training and inference, and demonstrates how these components can be wrapped into a single, easy-to-use software offering, powered by NVIDIA AI. Currently optimized for credit card transaction fraud, the blueprint could be adapted for use cases such as new account fraud, account takeover and money laundering. Using Accelerated Computing and Graph Neural Networks for Fraud Detection Traditional data science pipelines lack the compute acceleration to handle the massive data volumes required for effective fraud detection. ML models like XGBoost are effective for detecting anomalies in individual transactions but fall short when fraud involves complex networks of linked accounts and devices. Helping address these gaps, NVIDIA RAPIDS — part of the NVIDIA CUDA-X collection of microservices, libraries, tools and technologies — enables payment companies to speed up data processing and transform raw data into powerful features at scale. These companies can fuel their AI models and integrate them with graph neural networks (GNNs) to uncover hidden, large-scale fraud patterns by analyzing relationships across different transactions, users and devices. The use of gradient-boosted decision trees — a type of ML algorithm — tapping into libraries such as XGBoost, has long been the standard for fraud detection. The new AI Blueprint for financial fraud detection enhances the XGBoost ML model with NVIDIA CUDA-X Data Science libraries including GNNs to generate embeddings that can be used as additional features to help reduce false positives. The GNN embeddings are fed into XGBoost to create and train a model that can then be orchestrated. In addition, NVIDIA Dynamo-Triton, formerly NVIDIA Triton Inference Server, boosts real-time inferencing while optimizing AI model throughput, latency and utilization. NVIDIA CUDA-X Data Science and Dynamo-Triton are included with NVIDIA AI Enterprise. Leading Financial Services Organizations Adopt AI During a time when many large North American financial institutions are reporting online or mobile fraud losses continue to increase, AI is helping to combat this trend. American Express, which began using AI to fight fraud in 2010, leverages fraud detection algorithms to monitor all customer transactions globally in real time, generating fraud decisions in just milliseconds. Using a combination of advanced algorithms, one of which tapped into the NVIDIA AI platform, American Express enhanced model accuracy, advancing the company’s ability to better fight fraud. European digital bank bunq uses generative AI and large language models to help detect fraud and money laundering. Its AI-powered transaction-monitoring system achieved nearly 100x faster model training speeds with NVIDIA accelerated computing. BNY announced in March 2024 that it became the first major bank to deploy an NVIDIA DGX SuperPOD with DGX H100 systems, which will help build solutions that support fraud detection and other use cases. And now, systems integrators, software vendors and cloud service providers can integrate the new NVIDIA blueprint for fraud detection to boost their financial services applications and help keep customers’ money, identities and digital accounts safe. Explore the NVIDIA AI Blueprint for financial fraud detection and read this NVIDIA Technical Blog on supercharging fraud detection with GNNs. Learn more about AI for fraud detection by visiting the AI Summit at Money20/20, running this week in Amsterdam. See notice regarding software product information.

Google has launched AI Edge Gallery, an open-source platform that enables developers to run advanced AI models directly on Android devices, with iOS support planned for a future release. Released under the Apache 2.0 license

HighPoint RocketStor 8631CW enables full PCIe Gen5 x16 GPU power externally with zero software, ideal for high-end mobile workflows like AI or 8K editing.

The lab as we know it today is being transformed by how we think about medical research and drug discovery, as well as the intersection of artificial intelligence and biotechnology. As someone who has transitioned from a doctor to a tech CEO, I’ve witnessed firsthand how our mindset around medicine and innovation needs to evolve to keep pace with the accelerating changes in technology. In my journey, one of the most important lessons I’ve learned is: You can be too smart for your own good. It may sound counterintuitive, but when building a company or investing in new technologies, the smartest people often fall into the trap of overcomplicating things. A brilliant idea isn’t always enough. You need the right people who can think creatively, take risks, and make it happen in the real world. For me, the mindset shift from doctor to CEO was about understanding that it’s not just about medical knowledge; it’s about building the right ecosystem to nurture that knowledge and turn it into real and transformative change. I believe that a crucial part of that ecosystem for my company, Owkin, is a new form of intelligence: a biological artificial superintelligence (BASI) to complement the ingenious human minds working with us. Next generation AI tools, like K Navigator, Owkin’s agentic co-pilot for researchers, and K Pro for pharma, which is in the pipeline, will allow us to understand the full complexity of biology that has been beyond human understanding so far. This forms the backbone of Owkin’s mission: We are creating the next-generation pharma focused on discovering cures and significantly enhancing pipeline value by developing a new intelligence system capable of decoding biological truths at scale. AI can fill the innovation gap left by pharma As the pharmaceutical industry increasingly focuses on a handful of blockbuster drugs, it’s leaving behind many areas of medicine that are crucial for the future of healthcare. Too many diseases remain uncured as traditional pharma struggles to navigate the complexity of biology to augment care with efficient new molecules and diagnostics. From rare diseases to precision oncology, there’s an innovation gap that AI is perfectly positioned to fill. AI can identify previously overlooked opportunities and streamline the development of treatments that are highly personalized and targeted. Unlike traditional pharmaceutical companies that are heavily reliant on large-scale, high-risk projects, AI companies can operate in a more agile, data-driven way. We can make smaller, more informed bets, leveraging machine learning and vast datasets to uncover insights that were once out of reach. This shift enables faster and more efficient drug discovery, with the added benefit of offering solutions for diseases that may not have attracted the attention of big pharma. Cell lines alone aren’t going to work Most traditional biological research has been based on cell lines—cells removed from the human body and grown in petri dishes. But as we look to the future, there’s a growing realization that cell lines, and other traditional research methods, are becoming outdated. While once a staple in biomedical research, they do not accurately replicate the complexity of human biology, and they fail to capture the diversity and variability that exists in real patients. AI-driven models are capable of moving beyond the limitations of cell lines by integrating data both from research done in cells and tissues removed from the body (in vitro) and from research done in living animals (in vivo). This validation approach, which incorporates multiple data types and sources, allows us to create more reliable and predictive models of human diseases. Science is advancing, and so is regulation. The FDA’s recent announcement of plans to phase out animal testing in favor of “more effective, human-relevant methods” means that we are entering an era where therapies can be tested on human tissue models from the very start. In collaboration with leading academic centers, Owkin has developed a patient-derived, lab-grown organoid (a mini version of a human organ), a breakthrough that brings us closer to faster, more accurate, and humane drug discovery. The combination of clinical data, genomic insights, and AI not only accelerates the development of new treatments but also increases their chances of success in clinical trials. The lab of the future The lab of the future will be one where AI is at the center, guiding discovery, improving precision, and increasing efficiency. Validation using real-world data will allow us to make better decisions and achieve higher rates of success. The traditional research process is being upended by these new technologies, and that’s a good thing. The future of medicine will not just rely on human expertise, but on the power of AI and data to transform how we understand and treat disease. AI will deliver transformative therapies at an exponential scale, addressing the complexities of biology that traditional pharmaceutical approaches often cannot solve. Labs will become automated and serve as the ultimate playground for scientists, driving the future of drug discovery by harnessing the full potential of advanced AI systems. In these dynamic labs, organoids and agents will come together to work in synergy, allowing scientists to model and simulate human biology with greater accuracy. AI-driven technology will decipher biological patterns to identify the patients most likely to respond to specific treatments, significantly improving the chances of success in clinical trials and beyond. Seamlessly integrating these cutting-edge tools into the lab environment will transform the way we approach drug discovery, targeting diseases with a level of precision that was previously unimaginable. By pioneering the use of data, biology, and AI to decode the fundamental mechanics of disease and advance medical science, it will be possible to establish a foundation for the future of a “positive singularity” in medicine. Through this innovative ecosystem, AI can revolutionize medicine. The time to innovate is now, and the possibilities are endless. Thomas Clozel is cofounder and CEO of Owkin.

Apple — and almost everybody else — has gotten a slight reprieve as a US court yesterday set aside the Trump tariff tax. But conflict and confusion continue to batter global trade, and while the news will provide a glimmer of relief, it will probably be short-lived. There’s always another dead cat to throw into the flames. Three judges from the US Court of International Trade found that the US International Emergency Economic Powers Act, which the Trump administration invoked to justify the imposition of these tariffs, does not give the president the authority to levy these taxes on trade. “The court does not read IEEPA to confer such unbounded authority and sets aside the challenged tariffs imposed thereunder,” they wrote. The judgement does not impact the 25% “trafficking tariffs” imposed on Mexican and Canadian products and does not prevent the 20% trafficking tariff in place on Chinese goods. It does, however, end the “worldwide and retaliatory” 10-50% tariffs the administration threw at 57 countries. A coalition of small businesses took the case to court, arguing that only Congress has the authority to levy tariffs under the law used by the president’s office. They seem to have prevailed in the argument — at least, so far. It is interesting to note that the administration wanted all the tariff-related lawsuits moved to this particular court, as it felt it would receptive to the administration’s arguments.  This turned out to be an error. What is an emergency? Responding, a White House statement from spokesperson Kush Desai maintained the need for these tariffs, calling US trade deficits a “national emergency that has decimated American communities, left our workers behind and weakened our defense industrial base — facts that the court did not dispute.”  But can a trade in cheap consumer goods be seen as an unusual threat after it has been part of US culture for decades? Not according to the US Court of International Trade. The judges say the trade deficit does not meet the Nixon-era International Emergency Economic Powers Act requirement that an emergency can only be triggered by an “unusual and extraordinary threat.”  The journey is by no means over, of course. With the president recently threatening additional tariffs on iPhones made in India (“I have a bit of a problem with my friend, Tim Cook”), the reprieve may be brief.  Desai’s statement said “unelected judges” are not the right people to decide how to handle what he calls a national emergency. “The administration is committed to using every lever of executive power to address this crisis and restore American greatness.”  It seems likely to end at the Supreme Court, even while the administration argues that it should not be bound by the checks and balances that still remain under the US Constitution. For now, an appeal has been lodged with the United States Court of Appeals for the Federal Circuit in Washington.  Where is the off-ramp? Apple, the world’s biggest consumer electronics company, which contributes a fortune to the US treasury and employs tens of thousands of Americans, will likely be relieved the tariffs have been set aside.  The reprieve implies that US consumers won’t need to pay more for their iPhones for a little longer yet and better reflects the reality that even if Apple were to shift iPhone manufacturing to the US, doing so would take years, cost billions, require engineering skills in quantities that do not yet exist in the US, would involve automation rather than large numbers of new jobs, and would be hampered by the availability of components and materials.  For the time being, at least, the judgment is a significant obstacle to the tariff taxes, albeit one that casts another spanner in the works for ongoing international trade talks. However, there is still scope for the administration to impose sector-specific taxes. All the same, “Tim Apple” will be acutely aware that the future will not look like the past, and the company’s $500 billion investment in the US will be part of the company’s future approach to manufacturing and trade. It suggests that while moving iPhone manufacturing to the US may be impractical, moving manufacture of some components and hardware may make sense. It is possible that as Apple and the US administration continue to negotiate, they may yet identify a road that enables both to declare some form of victory. You can follow me on social media! Join me on BlueSky,  LinkedIn, and Mastodon.

Macworld Every year, as Apple’s WWDC approaches, speculation about what new products may arrive alongside all the big software announcements. While sources claim that Apple has been working on a new interface for iOS, macOS, and other operating systems, we haven’t heard much about new hardware coming at WWDC. There are rumors about products in the works—most notably new Macs and the “HomePad” smart home hub—but the reality is, if you’re expecting to see new hardware at WWDC 2025, you’re likely to be disappointed. WWDC is a software event Historically, WWDC is an event focused almost entirely on software. After all, it’s a conference for developers. Every year, Apple not only reveals its plans for the future of its operating systems at the event, but also gives developers early access to new APIs and frameworks. This enables them to start optimizing their apps for the new platforms months ahead of public releases. While there have been occasional hardware announcements, such as the original HomePod, the transition to Apple silicon in 2020, and the first look at the Apple Vision Pro in 2023, those moments were tightly linked to developer needs. This year, rumors suggest that Apple has been working on new hardware products that could be a good fit for WWDC, but it doesn’t look like they’ll be ready in time for this year’s event. Here’s why. HomePad: Delayed In an effort to take HomeKit to the next level, Apple has been working on a smart home hub with a built-in screen for several years. The idea is to let users easily control their HomeKit accessories, such as lamps, heaters, and robot vacuum cleaners, even when their phone isn’t around. While the actual name of the device is unclear, reports claim it will combine aspects of the HomePod and iPad in a single product focused on the smart home, so it’s been dubbed HomePad. Apple is reportedly making a new smart home hub that combines an iPad with a HomePod, but it’s likely not shipping for a while.Foundry Along with the smart home capabilities, HomePad will reportedly also function as an Apple TV-like entertainment device so users can stream video and music, or make FaceTime calls from its built-in camera. Essentially, it will be a home companion device that is either mounted to a wall or sits in a dock. While the HomePad was once expected to launch in the spring, recent reports claim the project is delayed, possibly until 2026. The main reason is due to a deep integration with Apple Intelligence and the new Siri experience, which have been beset with issues. It’s possible that Apple gives a sneak peek of HomePad at WWDC, as it did with HomePod and Vision Pro, but most reports say Apple is focused on fixing Siri first. M5 Macs and iPads: Not yet WWDC has been a hot spot for new Macs in recent years, with Apple Silicon, the redesigned M2 MacBook Air, and the M2 Ultra chip all making their debuts at WWDC. As such, there has been speculation about whether Apple will announce any new Mac hardware at WWDC. With the exception of the Mac Pro, which hasn’t seen any updates since 2022, Apple has already completed the transition of the entire Mac lineup to the M4 chip, introduced last year with the iPad Pro. In theory, this could mean that Apple will move onto the next generation of chips at WWDC, but don’t count on it. Apple typically unveils the first new Macs with the next generation of chips in the fall, around October and November. And according to multiple sources in the industry, this will be the case once again this year. A new iPad Pro with the M5 chip and M5 MacBook Pro are said to be on track for the second half of 2025. It’s possible that Apple unveils a new high-end chip for the aging Mac Pro, but most reports claim that Apple will keep the current model around until the M5 Ultra arrives. Could the M5 debut at WWDC? It’s not likely.Foundry iPhone 17: Coming in September Although in the past Apple has introduced new iPhone models at WWDC, it’s been more than a decade since an iPhone model debuted at the event. Besides, the iPhone 16e only just arrived in March, and the iPhone 17 lineup will arrive in September. One of the main reasons is that the new iPhone always ships with the new version of iOS announced at WWDC, so Apple needs time to test and refine the new software before launching the new phone. So if you’re planning to buy an iPhone 17, you’ll have to wait until September at least. Apple Vision Pro 2: Maybe next year The first Apple Vision Pro is decidedly a developer device. It was announced at WWDC 2023 but didn’t ship until 2024, mainly so developers had time to build new apps for the headset. And with a $3,499 price tag, it’s still basically a developer kit.  The current Vision Pro is powered by the M2 chip, which some consumers may consider outdated for a product that costs $3,500. Although Apple is rumored to be working on an updated Vision Pro with an M5 chip inside, this model is unlikely to arrive before next year. According to a report from The Information, Apple has reportedly set aside the Vision Pro 2 project to work on a more affordable version of its mixed reality headset, but that model isn’t expected to ship for a while either. So while we’ll get a look at the new visionOS software, the same hardware is likely sticking around for at least another year. WWDC will likely be very software-centric this year.Foundry What to expect instead at WWDC 2025? Once again, this WWDC will be all about software and services, so expect major updates across all Apple platforms. From iOS 19 to macOS 16 (or possibly iOS 26 and macOS 26), Apple’s operating systems will be updated with a new, more modern interface. Sources believe that the new design language will be similar to what Apple introduced with visionOS, which has more depth and shadows rather than a completely flat interface. Apple is also rumored to be working on new features to make iPadOS more similar to macOS, as well as further improving Apple Intelligence and the Siri experience. So there will be plenty to get excited about at WWDC 2025, but it almost certainly won’t involve any new devices. WWDC 2025 kicks off on June 9 with an opening keynote. Be sure to follow Macworld’s full coverage of the event.