Start SlideshowStart SlideshowImage: The Pokémon Company, Arrowhead Game Studios, Blizzard, The Pokémon Company, Screenshot: Capcom / Samuel Moreno / Kotaku, Bethesda / Brandon Morgan / Kotaku, Nintendo, Bethesda / Brandon Morgan / Kotaku, Capcom / Samuel Moreno / KotakuYou know what we all need sometimes? A little advice. How do I plan for a future that’s so uncertain? Will AI take my job? If I go back to school and use AI to cheat, will I graduate and work for an AI boss? We can’t help you with any of that. But what we can do is provide some tips for Helldivers 2, Monster Hunter Wilds, Oblivion Remastered, and other great games. So, read on for that stuff, and maybe ask ChatGPT about those other things.Previous SlideNext SlideList slidesDon’t Rely On Ex Pokémon In Pokémon TCG Pocket AnymoreImage: The Pokémon CompanyDuring the initial months of Pokémon TCG Pocket, ex monsters dominated the competitive landscape. These monsters are (usually) stronger than their non-ex counterparts, and they can come with game-changing abilities that determine how your entire deck plays. In the past, players could create frustratingly fearsome decks consisting of two ex Pokémon supported by trainer and item cards. However, unless you pair together very specific ex Pokémon, you’ll now find yourself losing nearly every game you play. - Timothy Monbleau Read MorePrevious SlideNext SlideList slidesPlease, For The Love Of God, Defeat All Illuminate Stingrays In Helldivers 2Image: Arrowhead Game StudiosYou know what? Screw the Illuminate. I played round after round trying to get the Stingrays, also known as an Interloper, to spawn at least once, and those damn Overseers and Harvesters kept walking up and rocking me. In the end, I was victorious. A Stingray approached the airspace with reckless abandon, swooping in with practiced ease as it unloaded a barrage of molten death beams upon my head, and you know what happened? I died. A few times. But eventually, I managed to pop a shot off and I quickly discovered how to defeat Illuminate Stingrays in Helldivers 2. - Brandon Morgan Read MorePrevious SlideNext SlideList slidesDefeating Monster Hunter Wilds’ Demi Elder Dragon Might Be The Game’s Hardest Challenge So FarScreenshot: Capcom / Samuel Moreno / KotakuAlthough Zoh Shia is the thematic boss of Monster Hunter Wilds, other beasts can put up a tougher fight. Gore Magala (and especially its Tempered version) are easily in contention for being the most deadly enemies in the game. Not much is more threatening than their high mobility, powerful attacks, and unique Frenzy ailment that forms the basis for your Corrupted Mantle. - Samuel Moreno Read MorePrevious SlideNext SlideList slidesDon’t Forget To Play ‘The Shivering Isles’ Expansion In Oblivion RemasteredScreenshot: Bethesda / Brandon Morgan / KotakuWhether you’ve played the original Oblivion or not, chances are you’ve heard tales of the oddities awaiting you in the Shivering Isles. This expansion—the largest one for the open-world RPG—features a land of madness under the unyielding control of Sheogorath. It’s a beautiful world, yet so immensely wrong. But that’s why this DLC is one of the best in the franchise, so no matter how many hours you may have already put into the main story and the main world, you don’t want to miss this expansion. - Brandon Morgan Read MorePrevious SlideNext SlideList slidesHow Long Of A Ride Is Mario Kart World?Screenshot: NintendoThe Mario Kart franchise has been entertaining us all for decades—even with sibling fights and fits of rage over losing a race from a blue shell at the last second—but Mario Kart World is the first game to go open world. There hasn’t been a truly new entry in the series since 2014's Mario Kart 8, so being stoked to dive into this exciting adventure is perfectly reasonable. Equally reasonable, especially given the game’s controversial price tag, is to wonder how long it’ll take to beat and what type of replayability it offers. Let’s talk about it. - Billy Givens Read MorePrevious SlideNext SlideList slidesMario Kart World Players Are Exploiting Free Roam To Quickly Farm CoinsGif: Nintendo / FannaWuck / KotakuMario Kart World is full of cool stunts and lots of things to unlock, like new characters, costumes, and vehicles. The last of those requires accumulating a certain number of coins during your time with the Switch 2 exclusive, and while you could do that the normal way by just playing tons of races, you can also use the latest entry’s open world to farm coins faster or even while being completely AFK. - Ethan Gach Read MorePrevious SlideNext SlideList slidesOblivion Remastered’s Best Side Quest Is A World Within A WorldScreenshot: Bethesda / Brandon Morgan / KotakuIt’s been a long time since I kept a spreadsheet for a video game, or even notes beyond what I need for work. I had one for the original Oblivion run back in my school days. Back then, I knew where to find every side quest in the game. There were over 250. Still are, but now they’re enhanced, beautified for the modern gamer. One side quest retains its crown as the best, despite the game’s age. “A Brush With Death” is Oblivion Remastered’s best side quest by far, and here’s how to find and beat it! - Brandon Morgan Read MorePrevious SlideNext SlideList slidesDiablo IV: How To Power Level Your Way To Season 8's EndgameImage: BlizzardWhether you’re running a new build, trying out a new class, or returning to Diablo IV after an extended break, (a break in which you were likely playing Path of Exile 2, right? I know I wasn’t alone in farming Exalted Orbs!) Whatever the case, learning how to level up fast in Diablo IV should help you check out everything new this season, along with hitting endgame so that your friends don’t cruelly make fun of you! - Brandon Morgan Read MorePrevious SlideNext SlideList slidesThe 5 Strongest Non-Ex Pokémon To Use In Pokémon TCG PocketImage: The Pokémon CompanyIt’s official: ex Pokémon no longer rule unchallenged Pokémon TCG Pocket. While these powerful cards are still prevalent in the competitive landscape, the rise of ex-specific counters have made many of these monsters risky to bring. It’s never been more vital to find strong Pokémon that are unburdened by the ex label, but who should you use? - Timothy Monbleau Read MorePrevious SlideNext SlideList slidesSome Of The Coolest Monster Hunter Wilds Armor Can Be Yours If You Collect Enough CoinsScreenshot: Capcom / Samuel Moreno / KotakuIt goes without saying that Monster Hunter Wilds has a lot of equipment materials to keep track of. The Title 1 Update increased the amount with the likes of Mizutsune parts and the somewhat obscurely named Pinnacle Coins. While it’s easy to know what the monster parts can be used for, the same can’t be said for a coin. Making things more complicated is that the related equipment isn’t unlocked all at once. - Samuel Moreno Read More

Modern healthcare innovations span AI, devices, software, images, and regulatory frameworks, all requiring stringent coordination. Generative AI arguably has the strongest transformative potential in healthcare technology programmes, with it already being applied across various domains, such as R&D, commercial operations, and supply chain management.Traditional models for medical appointments, like face-to-face appointments, and paper-based processes may not be sufficient to meet the fast-paced, data-driven medical landscape of today. Therefore, healthcare professionals and patients are seeking more convenient and efficient ways to access and share information, meeting the complex standards of modern medical science. According to McKinsey, Medtech companies are at the forefront of healthcare innovation, estimating they could capture between $14 billion and $55 billion annually in productivity gains. Through GenAI adoption, an additional $50 billion plus in revenue is estimated from products and service innovations. A McKinsey 2024 survey revealed around two thirds of Medtech executives have already implemented Gen AI, with approximately 20% scaling their solutions up and reporting substantial benefits to productivity.  While advanced technology implementation is growing across the medical industry, challenges persist. Organisations face hurdles like data integration issues, decentralised strategies, and skill gaps. Together, these highlight a need for a more streamlined approach to Gen AI deployment. Of all the Medtech domains, R&D is leading the way in Gen AI adoption. Being the most comfortable with new technologies, R&D departments use Gen AI tools to streamline work processes, such as summarising research papers or scientific articles, highlighting a grassroots adoption trend. Individual researchers are using AI to enhance productivity, even when no formal company-wide strategies are in place.While AI tools automate and accelerate R&D tasks, human review is still required to ensure final submissions are correct and satisfactory. Gen AI is proving to reduce time spent on administrative tasks for teams and improve research accuracy and depth, with some companies experiencing 20% to 30% gains in research productivity. KPIs for success in healthcare product programmesMeasuring business performance is essential in the healthcare sector. The number one goal is, of course, to deliver high-quality care, yet simultaneously maintain efficient operations. By measuring and analysing KPIs, healthcare providers are in a better position to improve patient outcomes through their data-based considerations. KPIs can also improve resource allocation, and encourage continuous improvement in all areas of care. In terms of healthcare product programmes, these structured initiatives prioritise the development, delivery, and continual optimisation of medical products. But to be a success, they require cross-functional coordination of clinical, technical, regulatory, and business teams. Time to market is critical, ensuring a product moves from the concept stage to launch as quickly as possible.Of particular note is the emphasis needing to be placed on labelling and documentation. McKinsey notes that AI-assisted labelling has resulted in a 20%-30% improvement in operational efficiency. Resource utilisation rates are also important, showing how efficiently time, budget, and/or headcount are used during the developmental stage of products. In the healthcare sector, KPIs ought to focus on several factors, including operational efficiency, patient outcomes, financial health of the business, and patient satisfaction. To achieve a comprehensive view of performance, these can be categorised into financial, operational, clinical quality, and patient experience.Bridging user experience with technical precision – design awardsInnovation is no longer solely judged by technical performance with user experience (UX) being equally important. Some of the latest innovations in healthcare are recognised at the UX Design Awards, products that exemplify the best in user experience as well as technical precision. Top products prioritise the needs and experiences of both patients and healthcare professionals, also ensuring each product meets the rigorous clinical and regulatory standards of the sector. One example is the CIARTIC Move by Siemens Healthineers, a self-driving 3D C-arm imaging system that lets surgeons operate, controlling the device wirelessly in a sterile field. Computer hardware company ASUS has also received accolades for its HealthConnect App and VivoWatch Series, showcasing the fusion of AIoT-driven smart healthcare solutions with user-friendly interfaces – sometimes in what are essentially consumer devices. This demonstrates how technical innovation is being made accessible and becoming increasingly intuitive as patients gain technical fluency.  Navigating regulatory and product development pathways simultaneously The establishing of clinical and regulatory paths is important, as this enables healthcare teams to feed a twin stream of findings back into development. Gen AI adoption has become a transformative approach, automating the production and refining of complex documents, mixed data sets, and structured and unstructured data. By integrating regulatory considerations early and adopting technologies like Gen AI as part of agile practices, healthcare product programmes help teams navigate a regulatory landscape that can often shift. Baking a regulatory mindset into a team early helps ensure compliance and continued innovation. (Image source: “IBM Achieves New Deep Learning Breakthrough” by IBM Research is licensed under CC BY-ND 2.0.)Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Sovereignty has mattered since the invention of the nation state—defined by borders, laws, and taxes that apply within and without. While many have tried to define it, the core idea remains: nations or jurisdictions seek to stay in control, usually to the benefit of those within their borders. Digital sovereignty is a relatively new concept, also difficult to define but straightforward to understand. Data and applications don’t understand borders unless they are specified in policy terms, as coded into the infrastructure. The World Wide Web had no such restrictions at its inception. Communitarian groups such as the Electronic Frontier Foundation, service providers and hyperscalers, non-profits and businesses all embraced a model that suggested data would look after itself. But data won’t look after itself, for several reasons. First, data is massively out of control. We generate more of it all the time, and for at least two or three decades (according to historical surveys I’ve run), most organizations haven’t fully understood their data assets. This creates inefficiency and risk—not least, widespread vulnerability to cyberattack. Risk is probability times impact—and right now, the probabilities have shot up. Invasions, tariffs, political tensions, and more have brought new urgency. This time last year, the idea of switching off another country’s IT systems was not on the radar. Now we’re seeing it happen—including the U.S. government blocking access to services overseas. Digital sovereignty isn’t just a European concern, though it is often framed as such. In South America for example, I am told that sovereignty is leading conversations with hyperscalers; in African countries, it is being stipulated in supplier agreements. Many jurisdictions are watching, assessing, and reviewing their stance on digital sovereignty. As the adage goes: a crisis is a problem with no time left to solve it. Digital sovereignty was a problem in waiting—but now it’s urgent. It’s gone from being an abstract ‘right to sovereignty’ to becoming a clear and present issue, in government thinking, corporate risk and how we architect and operate our computer systems. What does the digital sovereignty landscape look like today? Much has changed since this time last year. Unknowns remain, but much of what was unclear this time last year is now starting to solidify. Terminology is clearer – for example talking about classification and localisation rather than generic concepts. We’re seeing a shift from theory to practice. Governments and organizations are putting policies in place that simply didn’t exist before. For example, some countries are seeing “in-country” as a primary goal, whereas others (the UK included) are adopting a risk-based approach based on trusted locales. We’re also seeing a shift in risk priorities. From a risk standpoint, the classic triad of confidentiality, integrity, and availability are at the heart of the digital sovereignty conversation. Historically, the focus has been much more on confidentiality, driven by concerns about the US Cloud Act: essentially, can foreign governments see my data? This year however, availability is rising in prominence, due to geopolitics and very real concerns about data accessibility in third countries. Integrity is being talked about less from a sovereignty perspective, but is no less important as a cybercrime target—ransomware and fraud being two clear and present risks. Thinking more broadly, digital sovereignty is not just about data, or even intellectual property, but also the brain drain. Countries don’t want all their brightest young technologists leaving university only to end up in California or some other, more attractive country. They want to keep talent at home and innovate locally, to the benefit of their own GDP. How Are Cloud Providers Responding? Hyperscalers are playing catch-up, still looking for ways to satisfy the letter of the law whilst ignoring (in the French sense) its spirit. It’s not enough for Microsoft or AWS to say they will do everything they can to protect a jurisdiction’s data, if they are already legally obliged to do the opposite. Legislation, in this case US legislation, calls the shots—and we all know just how fragile this is right now. We see hyperscaler progress where they offer technology to be locally managed by a third party, rather than themselves. For example, Google’s partnership with Thales, or Microsoft with Orange, both in France (Microsoft has similar in Germany). However, these are point solutions, not part of a general standard. Meanwhile, AWS’ recent announcement about creating a local entity doesn’t solve for the problem of US over-reach, which remains a core issue. Non-hyperscaler providers and software vendors have an increasingly significant play: Oracle and HPE offer solutions that can be deployed and managed locally for example; Broadcom/VMware and Red Hat provide technologies that locally situated, private cloud providers can host. Digital sovereignty is thus a catalyst for a redistribution of “cloud spend” across a broader pool of players. What Can Enterprise Organizations Do About It? First, see digital sovereignty as a core element of data and application strategy. For a nation, sovereignty means having solid borders, control over IP, GDP, and so on. That’s the goal for corporations as well—control, self-determination, and resilience. If sovereignty isn’t seen as an element of strategy, it gets pushed down into the implementation layer, leading to inefficient architectures and duplicated effort. Far better to decide up front what data, applications and processes need to be treated as sovereign, and defining an architecture to support that. This sets the scene for making informed provisioning decisions. Your organization may have made some big bets on key vendors or hyperscalers, but multi-platform thinking increasingly dominates: multiple public and private cloud providers, with integrated operations and management. Sovereign cloud becomes one element of a well-structured multi-platform architecture. It is not cost-neutral to deliver on sovereignty, but the overall business value should be tangible. A sovereignty initiative should bring clear advantages, not just for itself, but through the benefits that come with better control, visibility, and efficiency. Knowing where your data is, understanding which data matters, managing it efficiently so you’re not duplicating or fragmenting it across systems—these are valuable outcomes. In addition, ignoring these questions can lead to non-compliance or be outright illegal. Even if we don’t use terms like ‘sovereignty’, organizations need a handle on their information estate. Organizations shouldn’t be thinking everything cloud-based needs to be sovereign, but should be building strategies and policies based on data classification, prioritization and risk. Build that picture and you can solve for the highest-priority items first—the data with the strongest classification and greatest risk. That process alone takes care of 80–90% of the problem space, avoiding making sovereignty another problem whilst solving nothing. Where to start? Look after your own organization first Sovereignty and systems thinking go hand in hand: it’s all about scope. In enterprise architecture or business design, the biggest mistake is boiling the ocean—trying to solve everything at once. Instead, focus on your own sovereignty. Worry about your own organization, your own jurisdiction. Know where your own borders are. Understand who your customers are, and what their requirements are. For example, if you’re a manufacturer selling into specific countries—what do those countries require? Solve for that, not for everything else. Don’t try to plan for every possible future scenario. Focus on what you have, what you’re responsible for, and what you need to address right now. Classify and prioritise your data assets based on real-world risk. Do that, and you’re already more than halfway toward solving digital sovereignty—with all the efficiency, control, and compliance benefits that come with it. Digital sovereignty isn’t just regulatory, but strategic. Organizations that act now can reduce risk, improve operational clarity, and prepare for a future based on trust, compliance, and resilience. The post Reclaiming Control: Digital Sovereignty in 2025 appeared first on Gigaom.

Pixar has been delighting audiences with its house animation style and world-building for three decades, and the Disney-owned animation studio is showing no signs of slowing down. And unlike Andy, they haven’t aged out of playing with their toys.  At the Annecy’s International Animation Film Festival, Pixar dropped a series of announcements, teasers, and special previews of their upcoming slate, including the much-anticipated first-look at Toy Story 5.  Den of Geek attended a private screening, with remarks from Pixar’s Chief Creative Officer, Pete Docter, in early June ahead of the festival. During the presentation to the press, Docter hinted at the company putting its focus and energy to its theatrical slate, a notable change after recent releases like Dream Productions, set in the Inside Out universe, and the original Win or Lose debuted in early 2025. It’s a telling sign for Disney’s shifting approach to Disney+. The studio’s latest film, Elio, hit theaters on June 20th. “Our hope is that we can somehow tap into the things that people remember about the communal experience of seeing things together,” Docter said. “It’s different than sitting at home on your computer watching something [compared to] when you sit with other human beings in the dark and watch the flickering light on the screen. There’s something kind of magic about that.”  Pixar is aiming to be back on a timeline of three films every two years, with Toy Story 5 and an original story titled Hoppers releasing in 2026, and another original, Gatto, hitting theaters in 2027.  Docter boldly stated that Pixar is “standing on one of the strongest slates we’ve ever had.” While bullish for a studio that has had an unprecedented run of success in the world of animated features, the early footage we saw leaves plenty of room for optimism. Is Pixar so back? Here’s what we learned from the presentation and footage…  Toy Story 5 – June 19, 2026  Woody, Buzz, Jesse and the gang will all be returning for the fifth feature film in one of Pixar’s most beloved franchises. Docter confirmed Tom Hanks, Tim Allen and Joan Cusack will reprise their respective roles. Written and directed by Andrew Stanton, who has worked on all of the films, and co-directed by McKenna Harris, Toy Story 5 catches up to our modern, tech-oriented world, and how that affects children’s interests. Bonnie, now eight, is given a brand new, shiny tablet, called a Lily Pad. The new tech allows Bonnie to stay connected and chat with all of her friends, slowly detaching her from her old toys. But just like all the other toys, Lily can talk, and she’s quite sneaky. Lily believes Bonnie needs to get rid of her old, childish toys completely. Feeling Bonnie slipping away, the toys call Woody for back up, but after not seeing Buzz for some time, the two go back to their old ways of constantly butting heads.  “With some films, you’ll struggle to find new things to talk about. And you know, this is [Toy Story 5]. We still are finding new aspects of what it is to be a toy… There’s more of a spotlight on Jesse, so there’s that’s a whole nother facet to it as well. And she’s just such a rich, wonderful character to see on screen,” Docter says. Pixar screened the opening scene for press, which saw a fresh pallet of new Buzz Lightyear figures washed up in a shipping container on a remote island. Think Toy Story meets Cast Away as the Lightyears band together to concoct a way to get home, wherever that might be, in an unexpectedly gripping start to the fifth installment. Join our mailing list Get the best of Den of Geek delivered right to your inbox! HOPPERS – © 2025 Disney/Pixar. All Rights Reserved. Hoppers – March 6, 2026  Preceding Toy Story 5 and kicking off 2026 for Pixar will be an all-new story, Hoppers.  The film follows Mabel (Piper Curda), a college student and nature enthusiast as she fights to save a beloved glade near her childhood home from a highway project that will bulldoze through it– brought forth by the greedy mayor voiced by Jon Hamm. With little support from those around her, Mabel enlists the help of “hoppers,” a clever group of scientists who’ve found a way to “hop” their minds into robots. When Mabel hops into the body of a beaver, she sets off to get other animals to return to the glade, hopefully halting construction. The animals take her to meet their rather conflict-avoidant leader, King George (Bobby Moynihan), and she soon learns that the animal world is a lot more complex than she had thought.  The footage screened saw Jon Hamm’s mayor abducted by beavers in a slapstick scene that corroborated Docter’s excitement for the project. Like Pixar’s highest highs, Hoppers appears to be charming and big-hearted, and it certainly won’t hurt merchandise sales at the Disney parks with the adorably designed animals in this film. Docter compared Hoppers to Mission Impossible meets Planet Earth. We’re locked in.  GATTO – © 2025 Disney/Pixar. All Rights Reserved. Gatto – Summer 2027  In maybe the most creatively intriguing announcement, a new film titled Gatto is in production from the team behind Luca. Gatto will employ the same classic Pixar animation-style, but with a painterly twist to match the artistic vibe of Venice. The art direction shown in short clips was stunning and unique spin on Pixar’s house style. The film is set in Venice, Italy, a destination popular for its stunning architecture and romantic ambience, that some only dream of visiting one day. It’s not so ideal, however, for Nero, the protagonist of the upcoming Pixar-original film, Gato. Nero is a black cat, who people turn the other way from because they fear he’s bad luck. With no other options, Nero turns to the seedier side of the stray cat scene in Venice, where he soon finds himself in hot water with Rocco, a cat mob boss. The heart of the film is Nero’s love for music, and his budding friendship with a street musician named Maya, who is also an outsider.

This is a spoiler-free preview of the first five episodes of season three. Star Trek: Strange New Worlds ended its second season with arguably the single strongest run of any streaming-era Trek. The show was made with such confidence in all departments that if there were flaws, you weren’t interested in looking for them. Since then, it’s gone from being the best modern Trek, to being the only modern Trek. Unfortunately, at the moment it needs to be the standard bearer for the show, it’s become noticeably weaker and less consistent.  As usual, I’ve seen the first five episodes, but can’t reveal specifics about what I’ve seen. I can say plenty of the things that made Strange New Worlds the best modern-day live-action Trek remain in place. It’s a show that’s happy for you to spend time with its characters as they hang out, and almost all of them are deeply charming. This is, after all, a show that uses as motif the image of the crew in Pike’s quarters as the captain cooks for his crew. Its format, with standalone adventures blended with serialized character drama, means it can offer something new every week. Think back to the first season, when “Memento Mori,” a tense action thriller with the Gorn, was immediately followed by “Spock Amock,” a goofy, starbase-set body-swap romantic comedy of manners centered around Spock. Strange New Worlds is the first Trek in a long while to realize audiences don’t just want a ceaseless slog of stern-faced, angry grimdark. And if they want that, they can go watch Picard and Section 31. Marni Grossman/Paramount+ But, as much as those things are SNW’s greatest strength, it’s a delicate balance to ensure the series doesn’t lurch too far either way. And, it pains me to say this, the show spends the first five episodes of its third season going too far in both directions (although, mercifully, not at the same time). No specifics, but one episode I’m sure was on the same writers room whiteboard wishlist as last season’s musical episode. What was clearly intended as a chance for everyone to get out of their usual roles and have fun falls flat. Because the episode can never get past the sense it’s too delighted in its own silliness to properly function. Marni Grossman/Paramount+ At the other end of the scale, we get sprints toward the eye-gouging grimdark that blighted those other series. Sure, the series has gone to dark places before, but previously with more of a sense of deftness, rather than just going for the viscerally-upsetting gore. A cynic might suggest that, as Paramount’s other Trek projects ended, franchise-overseer Alex Kurtzman — who has pushed the franchise into “grittier” territory whenever he can — had more time to spend in the SNW writers’ room. Much as I’ve enjoyed the series’ soapier elements, the continuing plotlines take up an ever bigger part of each episode’s runtime so far. Consequently, the story of the week gets less service, making them feel weaker and less coherent. One episode pivots two thirds of the way in to act as a low-key sequel to an episode from season two. But since we’ve only got ten minutes left, it feels thrown in as an afterthought, or to resolve a thread the creative team felt they were obliged to deal with (they didn’t). In fact, this and the recently-finished run of Doctor Who suffered from the same problem that blights so many streaming-era shows, which is the limited episode order. Rather than producing TV on the scale broadcast networks were able to — yearly runs of 22-, 24- or 26 episodes, a lot of (expensive) genre shows get less than half that. The result is that each episode has to be More Important Than The Last One in a way that’s exhausting for a viewer. But Strange New Worlds can’t solve all the economic issues with the streaming model on its own. My hope is that, much like in its first season, the weaker episodes are all in its front half to soften us up for the moments of quality that followed toward its conclusion. ASIDE: Shortly before publication, Paramount announced Strange New Worlds would end in its fifth season, which would be cut from ten episodes to six. It's not surprising — given the equally-brilliant Lower Decks was also axed after passing the same milestone — but it is disappointing. My only hope is that the series doesn't spend that final run awkwardly killing off the series' young ensemble one by one in order to replace them with the entire original series' roster as to make it "line up." Please, let them be their own things. This article originally appeared on Engadget at https://www.engadget.com/entertainment/tv-movies/star-trek-strange-new-worlds-third-season-falls-short-of-its-second-020030139.html?src=rss

One of the key use cases for generative AI involves answering questions over private datasets, with retrieval-augmented generation (RAG) as the go-to framework. As new RAG techniques emerge, there’s a growing need to benchmark their performance across diverse datasets and metrics.  To meet this need, we’re introducing BenchmarkQED, a new suite of tools that automates RAG benchmarking at scale, available on GitHub (opens in new tab). It includes components for query generation, evaluation, and dataset preparation, each designed to support rigorous, reproducible testing.   BenchmarkQED complements the RAG methods in our open-source GraphRAG library, enabling users to run a GraphRAG-style evaluation across models, metrics, and datasets. GraphRAG uses a large language model (LLM) to generate and summarize entity-based knowledge graphs, producing more comprehensive and diverse answers than standard RAG for large-scale tasks.  In this post, we walk through the core components of BenchmarkQED that contribute to the overall benchmarking process. We also share some of the latest benchmark results comparing our LazyGraphRAG system to competing methods, including a vector-based RAG with a 1M-token context window, where the leading LazyGraphRAG configuration showed significant win rates across all combinations of quality metrics and query classes. In the paper, we distinguish between local queries, where answers are found in a small number of text regions, and sometimes even a single region, and global queries, which require reasoning over large portions of or even the entire dataset.  Conventional vector-based RAG excels at local queries because the regions containing the answer to the query resemble the query itself and can be retrieved as the nearest neighbor in the vector space of text embeddings. However, it struggles with global questions, such as, “What are the main themes of the dataset?” which require understanding dataset qualities not explicitly stated in the text.   AutoQ: Automated query synthesis This limitation motivated the development of GraphRAG a system designed to answer global queries. GraphRAG’s evaluation requirements subsequently led to the creation of AutoQ, a method for synthesizing these global queries for any dataset. AutoQ extends this approach by generating synthetic queries across the spectrum of queries, from local to global. It defines four distinct classes based on the source and scope of the query (Figure 1, top) forming a logical progression along the spectrum (Figure 1, bottom). Figure 1. Construction of a 2×2 design space for synthetic query generation with AutoQ, showing how the four resulting query classes map onto the local-global query spectrum.  AutoQ can be configured to generate any number and distribution of synthetic queries along these classes, enabling consistent benchmarking across datasets without requiring user customization. Figure 2 shows the synthesis process and sample queries from each class, using an AP News dataset. Figure 2. Synthesis process and example query for each of the four AutoQ query classes.  About Microsoft Research Advancing science and technology to benefit humanity View our story Opens in a new tab AutoE: Automated evaluation framework  Our evaluation of GraphRAG focused on analyzing key qualities of answers to global questions. The following qualities were used for the current evaluation: Comprehensiveness: Does the answer address all relevant aspects of the question?  Diversity: Does it present varied perspectives or insights?  Empowerment: Does it help the reader understand and make informed judgments?  Relevance: Does it address what the question is specifically asking?   The AutoE component scales evaluation of these qualities using the LLM-as-a-Judge method. It presents pairs of answers to an LLM, along with the query and target metric, in counterbalanced order. The model determines whether the first answer wins, loses, or ties with the second. Over a set of queries, whether from AutoQ or elsewhere, this produces win rates between competing methods. When ground truth is available, AutoE can also score answers on correctness, completeness, and related metrics. An illustrative evaluation is shown in Figure 3. Using a dataset of 1,397 AP News articles on health and healthcare, AutoQ generated 50 queries per class (200 total). AutoE then compared LazyGraphRAG to a competing RAG method, running six trials per query across four metrics, using GPT-4.1 as a judge. These trial-level results were aggregated using metric-based win rates, where each trial is scored 1 for a win, 0.5 for a tie, and 0 for a loss, and then averaged to calculate the overall win rate for each RAG method. Figure 3. Win rates of four LazyGraphRAG (LGR) configurations across methods, broken down by the AutoQ query class and averaged across AutoE’s four metrics: comprehensiveness, diversity, empowerment, and relevance. LazyGraphRAG outperforms comparison conditions where the bar is above 50%. The four LazyGraphRAG conditions (LGR_b200_c200, LGR_b50_c200, LGR_b50_c600, LGR_b200_c200_mini) differ by query budget (b50, b200) and chunk size (c200, c600). All used GPT-4o mini for relevance tests and GPT-4o for query expansion (to five subqueries) and answer generation, except for LGR_b200_c200_mini, which used GPT-4o mini throughout. Comparison systems were GraphRAG (Local, Global, and Drift Search), Vector RAG with 8k- and 120k-token windows, and three published methods: LightRAG (opens in new tab), RAPTOR (opens in new tab), and TREX (opens in new tab). All methods were limited to the same 8k tokens for answer generation. GraphRAG Global Search used level 2 of the community hierarchy. LazyGraphRAG outperformed every comparison condition using the same generative model (GPT-4o), winning all 96 comparisons, with all but one reaching statistical significance. The best overall performance came from the larger budget, smaller chunk size configuration (LGR_b200_c200). For DataLocal queries, the smaller budget (LGR_b50_c200) performed slightly better, likely because fewer chunks were relevant. For ActivityLocal queries, the larger chunk size (LGR_b50_c600) had a slight edge, likely because longer chunks provide a more coherent context. Competing methods performed relatively better on the query classes for which they were designed: GraphRAG Global for global queries, Vector RAG for local queries, and GraphRAG Drift Search, which combines both strategies, posed the strongest challenge overall. Increasing Vector RAG’s context window from 8k to 120k tokens did not improve its performance compared to LazyGraphRAG. This raised the question of how LazyGraphRAG would perform against Vector RAG with 1-million token context window containing most of the dataset. Figure 4 shows the follow-up experiment comparing LazyGraphRAG to Vector RAG using GPT-4.1 that enabled this comparison. Even against the 1M-token window, LazyGraphRAG achieved higher win rates across all comparisons, failing to reach significance only for the relevance of answers to DataLocal queries. These queries tend to benefit most from Vector RAG’s ranking of directly relevant chunks, making it hard for LazyGraphRAG to generate answers that have greater relevance to the query, even though these answers may be dramatically more comprehensive, diverse, and empowering overall. Figure 4. Win rates of LazyGraphRAG (LGR) over Vector RAG across different context window sizes, broken down by the four AutoQ query classes and four AutoE metrics: comprehensiveness, diversity, empowerment, and relevance. Bars above 50% indicate that LazyGraphRAG outperformed the comparison condition.  AutoD: Automated data sampling and summarization Text datasets have an underlying topical structure, but the depth, breadth, and connectivity of that structure can vary widely. This variability makes it difficult to evaluate RAG systems consistently, as results may reflect the idiosyncrasies of the dataset rather than the system’s general capabilities. The AutoD component addresses this by sampling datasets to meet a target specification, defined by the number of topic clusters (breadth) and the number of samples per cluster (depth). This creates consistency across datasets, enabling more meaningful comparisons, as structurally aligned datasets lead to comparable AutoQ queries, which in turn support consistent AutoE evaluations. AutoD also includes tools for summarizing input or output datasets in a way that reflects their topical coverage. These summaries play an important role in the AutoQ query synthesis process, but they can also be used more broadly, such as in prompts where context space is limited. Since the release of the GraphRAG paper, we’ve received many requests to share the dataset of the Behind the Tech (opens in new tab) podcast transcripts we used in our evaluation. An updated version of this dataset is now available in the BenchmarkQED repository (opens in new tab), alongside the AP News dataset containing 1,397 health-related articles, licensed for open release.   We hope these datasets, together with the BenchmarkQED tools (opens in new tab), help accelerate benchmark-driven development of RAG systems and AI question-answering. We invite the community to try them on GitHub (opens in new tab).  Opens in a new tab

Missing the big picture US science is being wrecked, and its leadership is fighting the last war Facing an extreme budget, the National Academies hosted an event that ignored it. John Timmer – Jun 4, 2025 6:00 pm | 16 Credit: JHVE Photo Credit: JHVE Photo Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only   Learn more WASHINGTON, DC—The general outline of the Trump administration's proposed 2026 budget was released a few weeks back, and it included massive cuts for most agencies, including every one that funds scientific research. Late last week, those agencies began releasing details of what the cuts would mean for the actual projects and people they support. And the results are as bad as the initial budget had suggested: one-of-a-kind scientific experiment facilities and hardware retired, massive cuts in supported scientists, and entire areas of research halted. And this comes in an environment where previously funded grants are being terminated, funding is being held up for ideological screening, and universities have been subject to arbitrary funding freezes. Collectively, things are heading for damage to US science that will take decades to recover from. It's a radical break from the trajectory science had been on. That's the environment that the US's National Academies of Science found itself in yesterday while hosting the State of the Science event in Washington, DC. It was an obvious opportunity for the nation's leading scientific organization to warn the nation of the consequences of the path that the current administration has been traveling. Instead, the event largely ignored the present to worry about a future that may never exist. The proposed cuts The top-line budget numbers proposed earlier indicated things would be bad: nearly 40 percent taken off the National Institutes of Health's budget, the National Science Foundation down by over half. But now, many of the details of what those cuts mean are becoming apparent. NASA's budget includes sharp cuts for planetary science, which would be cut in half and then stay flat for the rest of the decade, with the Mars Sample Return mission canceled. All other science budgets, including Earth Science and Astrophysics, take similar hits; one astronomer posted a graphic showing how many present and future missions that would mean. Active missions that have returned unprecedented data, like Juno and New Horizons, would go, as would two Mars orbiters. As described by Science magazine's news team, "The plans would also kill off nearly every major science mission the agency has not yet begun to build." A chart prepared by astronomer Laura Lopez showing just how many astrophysics missions will be cancelled. Credit: Laura Lopez The National Science Foundation, which funds much of the US's fundamental research, is also set for brutal cuts. Biology, engineering, and education will all be slashed by over 70 percent; computer science, math and physical science, and social and behavioral science will all see cuts of over 60 percent. International programs will take an 80 percent cut. The funding rate of grant proposals is expected to drop from 26 percent to just 7 percent, meaning the vast majority of grants submitted to the NSF will be a waste of time. The number of people involved in NSF-funded activities will drop from over 300,000 to just 90,000. Almost every program to broaden participation in science will be eliminated. As for specifics, they're equally grim. The fleet of research ships will essentially become someone else's problem: "The FY 2026 Budget Request will enable partial support of some ships." We've been able to better pin down the nature and location of gravitational wave events as detectors in Japan and Italy joined the original two LIGO detectors; the NSF will reverse that progress by shutting one of the LIGOs. The NSF's contributions to detectors at the Large Hadron Collider will be cut by over half, and one of the two very large telescopes it was helping fund will be cancelled (say goodbye to the Thirty Meter Telescope). "Access to the telescopes at Kitt Peak and Cerro Tololo will be phased out," and the NSF will transfer the facilities to other organizations. The Department of Health and Human Services has been less detailed about the specific cuts its divisions will see, largely focusing on the overall numbers, which are down considerably. The NIH, which is facing a cut of over 40 percent, will be reorganized, with its 19 institutes pared down to just eight. This will result in some odd pairings, such as the dental and eye institutes ending up in the same place; genomics and biomedical imaging will likewise end up under the same roof. Other groups like the Centers for Disease Control and Prevention and the Food and Drug Administration will also face major cuts. Issues go well beyond the core science agencies, as well. In the Department of Energy, funding for wind, solar, and renewable grid integration has been zeroed out, essentially ending all programs in this area. Hydrogen and fuel cells face a similar fate. Collectively, these had gotten over $600 billion dollars in 2024's budget. Other areas of science at the DOE, such as high-energy physics, fusion, and biology, receive relatively minor cuts that are largely in line with the ones faced by administration priorities like fossil and nuclear energy. Will this happen? It goes without saying that this would amount to an abandonment of US scientific leadership at a time when most estimates of China's research spending show it approaching US-like levels of support. Not only would it eliminate many key facilities, instruments, and institutions that have helped make the US a scientific powerhouse, but it would also block the development of newer and additional ones. The harms are so widespread that even topics that the administration claims are priorities would see severe cuts. And the damage is likely to last for generations, as support is cut at every stage of the educational pipeline that prepares people for STEM careers. This includes careers in high-tech industries, which may require relocation overseas due to a combination of staffing concerns and heightened immigration controls. That said, we've been here before in the first Trump administration, when budgets were proposed with potentially catastrophic implications for US science. But Congress limited the damage and maintained reasonably consistent budgets for most agencies. Can we expect that to happen again? So far, the signs are not especially promising. The House has largely adopted the Trump administration's budget priorities, despite the fact that the budget they pass turns its back on decades of supposed concerns about deficit spending. While the Senate has yet to take up the budget, it has also been very pliant during the second Trump administration, approving grossly unqualified cabinet picks such as Robert F. Kennedy Jr. All of which would seem to call for the leadership of US science organizations to press the case for the importance of science funding to the US, and highlight the damage that these cuts would cause. But, if yesterday's National Academies event is anything to judge by, the leadership is not especially interested. Altered states As the nation's premier science organization, and one that performs lots of analyses for the government, the National Academies would seem to be in a position to have its concerns taken seriously by members of Congress. And, given that the present and future of science in the US is being set by policy choices, a meeting entitled the State of the Science would seem like the obvious place to address those concerns. If so, it was not obvious to Marcia McNutt, the president of the NAS, who gave the presentation. She made some oblique references to current problems, saying, that “We are embarking on a radical new experiment in what conditions promote science leadership, with the US being the treatment group, and China as the control," and acknowledged that "uncertainties over the science budgets for next year, coupled with cancellations of billions of dollars of already hard-won research grants, is causing an exodus of researchers." But her primary focus was on the trends that have been operative in science funding and policy leading up to but excluding the second Trump administration. McNutt suggested this was needed to look beyond the next four years. However, that ignores the obvious fact that US science will be fundamentally different if the Trump administration can follow through on its plans and policies; the trends that have been present for the last two decades will be irrelevant. She was also remarkably selective about her avoidance of discussing Trump administration priorities. After noting that faculty surveys have suggested they spend roughly 40 percent of their time handling regulatory requirements, she twice mentioned that the administration's anti-regulatory stance could be a net positive here (once calling it "an opportunity to help"). Yet she neglected to note that many of the abandoned regulations represent a retreat from science-driven policy. McNutt also acknowledged the problem of science losing the bipartisan support it has enjoyed, as trust in scientists among US conservatives has been on a downward trend. But she suggested it was scientists' responsibility to fix the problem, even though it's largely the product of one party deciding it can gain partisan advantage by raising doubts about scientific findings in fields like climate change and vaccine safety. The panel discussion that came after largely followed McNutt's lead in avoiding any mention of the current threats to science. The lone exception was Heather Wilson, president of the University of Texas at El Paso and a former Republican member of the House of Representatives and Secretary of the Air Force during the first Trump administration. Wilson took direct aim at Trump's cuts to funding for underrepresented groups, arguing, "Talent is evenly distributed, but opportunity is not." After arguing that "the moral authority of science depends on the pursuit of truth," she highlighted the cancellation of grants that had been used to study diseases that are more prevalent in some ethnic groups, saying "that's not woke science—that's genetics." Wilson was clearly the exception, however, as the rest of the panel largely avoided direct mention of either the damage already done to US science funding or the impending catastrophe on the horizon. We've asked the National Academies' leadership a number of questions about how it perceives its role at a time when US science is clearly under threat. As of this article's publication, however, we have not received a response. At yesterday's event, however, only one person showed a clear sense of what they thought that role should be—Wilson again, whose strongest words were directed at the National Academies themselves, which she said should "do what you've done since Lincoln was president," and stand up for the truth. John Timmer Senior Science Editor John Timmer Senior Science Editor John is Ars Technica's science editor. He has a Bachelor of Arts in Biochemistry from Columbia University, and a Ph.D. in Molecular and Cell Biology from the University of California, Berkeley. When physically separated from his keyboard, he tends to seek out a bicycle, or a scenic location for communing with his hiking boots. 16 Comments

Gigantamax Cinderace is making its Gigantamax debut in Pokémon Go, and as usual with these types of Pokémon, it’ll be tough to take down. Cinderace will specifically be around during the weekend portion of the “Instrumental Wonders” event, from June 7 at 6 a.m. until June 8 at 9 p.m. in your local time. Below we list Gigantamax Cinderace’s best counters and weaknesses in Pokémon Go, as well as general battle tips for the big bunny. Gigantamax Cinderace weaknesses Cinderace is a pure fire-type, so you can use ground-, rock-, or water-type moves to take it down effectively. That said, it’ll be resistant against bug-, steel-, fire-, grass-, ice-, and fairy-type moves, so don’t use those unless they’re just fast moves to help charge the max meter. Gigantamax Cinderace best counters Try to bring at least one of these attackers: Gigantamax Kingler with Metal Claw (G-Max Foam Burst) Dynamax Inteleon with Water Gun (Max Geyser) Dynamax Excadrill with Mud Shot (Max Quake) Gigantamax/Dynamax Blastoise with Water Gun (G-Max Cannonade/Max Geyser) The only thing really iffy about the above is Inteleon. If you don’t already have a Dynamax Inteleon, do not bother building one now (unless you’re sitting on tons of Sobble Candy), as Gigantamax Inteleon will be showing up literally next. For defenders/tanks, bring one or two of the following: Dynamax Blissey with Pound Dynamax Zapdos with Thunder Shock Dynamax/Gigantamax Blastoise with Water Gun Dynamax/Gigantamax Charizard with Dragon Breath These guys’ job is just to soak up the damage from Cinderace while generating as much energy as possible with their fast attacks. These counters are pretty straightforward, though note that the Zapdos is kind of just there to withstand the damage if the Cinderace you’re going against knows Focus Blast, as that could possibly give your Blissey a tough time. Consider just bringing the strongest Dynamax or Gigantamax Pokémon you have. If you have a maxed out Gigantamax Gengar and your Dynamax Excadrill isn’t leveled (and you don’t have the means to power it up), just bring your Gengar. General Gigantamax Cinderace tips If you’ve been struggling in Max Battles, here’s some general tips to survive — and make sure you’re an asset to your team. Gigantamax battles involve way more strategy than the usual rampant tapping that you do in raids, so make sure to know what you’re doing before jumping in. Make sure you have enough players. High-efficiency groups with maxed out investments can take down the Cinderace with fewer people, but practically, if you don’t have hundreds of spare candy and even more Stardust laying around, this isn’t going to be an option for you. Make sure you have as many people as possible to ensure that you get your soccer bunny. Don’t sleep on Max Spirit and Max Guard. Teams work best when there’s a variety of moves, not just maxed-out attacks. Each player should bring Pokémon with the defensive and healing moves unlocked as well. Max Guard will focus single-target damage towards you and reduce the damage taken; Max Spirit will heal the whole party. These moves are really important to make sure your damage-dealers can keep dishing. Remember to swap to super effective moves when it’s time to Dynamax. For Dynamax Pokémon, their max moves are determined by whatever type their fast move is. This means if you have a Darmanitan with Fire Fang, it will know Max Flare. A Gengar with Lick will know Max Phantasm. Take advantage of this and make sure to swap to a Pokémon that will deal super effective damage to your target before Dynamaxing, if you can. Focus on your fast moves. You want to spam your fast moves to build up that Dynamax meter and often times, using your charge move is actually a DPS loss when compared to the damage you could be doing with your max move will be. Spam those attacks! Level up a few ‘mons, but you don’t have to go too hard. Depending on your group size, you absolutely do not need to max out all your Dynamax Pokémon to level 40-50. While this will make it easier on the rest of your group, if this isn’t an investment you can make, you don’t have to stress about it. Power things up as high as you can afford to, but don’t fret if you don’t have a maxed out Pokémon. All of that said, make sure to come as prepared as you can be. This is a team effort and there’s a chance that a full group of four can still fail. Do not just bring your unleveled Dynamax Wooloo expecting a free ride to a powerful Pokémon. (After all, if everyone does that, then you certainly won’t clear the battle.) Again, you don’t have to completely max out your Pokémon, but it will be better for everyone involved if you bring something helpful to the table. There’s no shiny Cinderace this time around! Scorbunny’s shiny has not been added to the game yet (and it likely won’t be until it gets its own Community Day), so if you’re looking to shiny hunt Gigantamax Cinderace… you’ll have to wait until next time.

Monkey D. Luffy is currently one of the strongest characters in One Piece, and this isn't a surprise to anyone, especially since Luffy has access to the powers of Gear 5 and Conqueror's Haki. Undoubtedly, Luffy is quite strong already, and fans know this very well.