#Trend

AIThe essay argues that AI labs selling model inference face commodity pricing pressure, but may achieve durable profits by moving into products, enterprise deployments, and switching-cost moats. It cites historical infrastructure industries and the Bertrand paradox to support the view that value capture depends on climbing the stack. The authors also warn that successful lock-in could raise enterprise costs and concentrate power, making early interoperability and portability standards important.

AIThe AI Futures Project has published AI 2040: Plan A, a detailed scenario recommending policy action that delays superintelligence until 2040 rather than 2030. The authors present it as a recommendation rather than a prediction, and it is available at ai-2040.com in text, audio, and mobile formats, with a fuller experience on a desktop computer.

AISkywork users can now set custom slide sizes instead of being limited to 16:9. The update supports portrait decks, mobile-first presentations, social posts, and reports in the formats users need.

AIMollick argues AI capability is improving at a better-than-exponential rate, citing METR, GDPval, Epoch, and his own tests showing models working autonomously for hours. He says work is shifting from co-working with chatbots to assigning tasks to agents, with OpenAI workers managing multiple agents and experts getting the most from them. He adds that open-weights Chinese models trail the American frontier by roughly 6-12 months.

AITri Dao recommends a piece explaining how open and closed model makers and inference providers make economic sense. The post itself gives no figures or specifics, and the linked background is referenced without details beyond its topic.

AIAmazon CTO Werner Vogels argues that the "two-pizza" team concept was never about feeding engineers but about ownership, speed, and avoiding bureaucracy. He says working backwards from the customer and writing documents to force clarity remain core practices. He adds that the industry is changing and it is time to reconsider how products are brought to life.

AIOpenAI's Economic Research team published a new paper on the shift from chat to delegation, where people hand longer, more complex work to agents. The post draws on Codex usage inside OpenAI as a preview of what agentic work may look like in the future.

AIFidji Simo praised Intercept, a $500 million philanthropic initiative to eliminate respiratory infections like colds and flu. The accompanying blog post cites links such as 9.8x asthma risk by age 6 after rhinovirus infection in early childhood and 6.1x heart attack risk for seven days after influenza. Intercept will fund broad-spectrum preventatives and air-cleaning technologies.

AIThe post argues that China's commercial-scale EUV machines should be forecast for the late 2030s and immersion DUV for the mid-2030s, using ASML's development timeline as a reference. It also weighs factors that could push these estimates earlier or later, including state funding, espionage, talent flows, and the use of AI in R&D. The authors note that forecasts placing either milestone in the 2020s would need strong justification.

AIFei-Fei Li replied to smallfly's reflection on AI, automation, and human creativity, saying World Labs is founded on empowering human ingenuity and productivity. The post thanks smallfly for working with World Labs and links to a Fast Company article about World Labs, Marble, and spatial intelligence.

AIMidjourney will livestream its first hardware project announcement from an in-person San Francisco launch event, with the stream link promised soon. The company's background post says the announcement is set for tomorrow, Wednesday 6/17, at 6pm PT.

AIThe 8th BAAI Conference will be held June 12–13 at the Zhongguancun Innovation Center in Beijing, with Turing Award laureates and China's large-model leaders attending. Core focuses include world models and agents, plus two new flagship sessions on AI-native education and the token economy. The event will feature 25 forums, over 200 speeches, and a first-ever on-site AI agent conference companion for real-time listening and summarization.

AIEthan Mollick is releasing Co-Existence on October 20, a new book about working with AI systems that are sometimes, but not always, better than humans. The book follows his 2024 title Co-Intelligence, which he says was written about an era of chatbots rather than autonomous agents. Mollick also reports writing every chapter draft himself while using AI readers and fact-checkers, and building the book's website with Claude Code using Opus 4.8.

AIAnthropic's internal data shows Claude is accelerating AI development, possibly toward recursive self-improvement in which AI autonomously builds a more capable successor. Sam Bowman says the acceleration in technical R&D over recent months has been wild and faster than expected.

AIMicrosoft CTO Kevin Scott shares five ways people confuse AI capability with AI reality and how to bridge that gap. The post promotes his talk at #MSBuild and links to the full discussion.

AIGeorgi Gerganov says Computex this year shows a strong signal for local AI, with major players like NVIDIA and Microsoft embracing and discussing local AI workloads. He adds that dedicated consumer hardware and models are on the way.

AIThe Foundation for American Innovation launched a Physical Intelligence team to address regulatory and legal barriers to deploying autonomous robotics and other physical-world AI in the United States. The team plans to focus on regulatory climate, technical trajectory, industrial strategy, and liability and cybersecurity frameworks. The article argues that physical AI will matter most where human on-site labor drives costs, such as construction.

AIAt Google I/O, creators behind Flow, Project Genie, and Google Flow Music said human imagination, not the technology itself, shapes new storytelling. Designers Khyati Trehan and Kaloyan blend traditional design knowledge with vibe-coding to build Google Flow Tools, with Trehan saying that if the right tool doesn't exist, she can make it. Google Labs points users to Google Flow, Project Genie, and Google Flow Music at labs.google.

AIMiniMax has upgraded its Agent, renamed Mavis, and introduced Agent Teams that run multiple role-based Agents in parallel on desktop. The team uses Leader, Worker, and Verifier roles so complex tasks can be split, checked, and reported at key checkpoints, and it merges TokenPlan and Agent Plan into one subscription with credits shared between Agent and API. The post also discusses the added token, handoff, and retry costs of multi-Agent work, and says the Agent will be open-sourced alongside MiniMax M3.

Why it matters: The post explains why multi-Agent helps long tasks and where its verification, token, and aggregation costs come from, useful for judging when a team setup beats a single Agent.

AIMax Woolf reports that Hy3, an unfamiliar LLM, has unexpectedly topped OpenRouter's AI Model Rankings by a large margin. After examining the usage data, he says it only deepened his confusion about the result. The full analysis is in his new blog post on minimaxir.com.

AIAnthropic co-founder Dario Amodei spoke at the Vatican's presentation of Magnifica Humanitas, arguing that AI's questions extend beyond the AI research community. He said frontier labs face commercial, geopolitical, and competitive incentives that can conflict with doing the right thing, so outside voices from religion, civil society, academia, and government are needed. He described AI models as grown rather than engineered, and framed three questions for the Church's discernment, beginning with duty to the global poor.

AIBenedict Evans argues that predicting AI's job impact by occupation is mostly impossible, citing accountants: despite a century of accounting automation from calculators to spreadsheets and ERP systems, the number of accountants kept rising. He says job titles and business models change over time, so exposure scores based on census categories can mislead.

AIThinking Machines is offering grants of $100,000 plus Tinker credits to researchers advancing human-AI interactivity, with proposals due June 19th. Mira Murati's post frames collaborative AI as real-time interaction between machines and people across every modality, and invites a community to help solve it.

AIChris Olah, speaking for Anthropic, argues that the questions posed by AI extend far beyond the AI community and urges religions, civil society, academics, and governments to participate in shaping a positive outcome. He says he is glad the Catholic Church is engaging and is honored to speak at the presentation of Pope Leo XIV's first encyclical, Magnifica humanitas, scheduled for May 25.

AIYann LeCun joins Jacob Effron on the Unsupervised Learning podcast to discuss limitations of LLMs and a path forward for robotics. The conversation covers his reasons for leaving Meta, his disagreements with Geoff Hinton and Yoshua Bengio, his predictions for 2027, and his new company AMI and its bet on world models.

AISoumith Chintala posted more demos of Interaction Models collaborating live on system design, paper reading, and fact-checking with generative UI. A quoted demo shows the model seeing the user's screen and drawing on it together while building a scalable system architecture.

AIAndrej Karpathy says asking an LLM to structure its response as HTML and viewing it in a browser works well, and that slideshows have also worked for him. He argues vision is the preferred AI output channel, outlining a progression from raw text and markdown toward HTML and eventually interactive neural videos, while input methods like pointing and gesturing still need improvement.

AIJan Leike says alignment research has grown from a dozen side-gig researchers into a field the world increasingly recognizes as important. He credits RLHF on LLMs with making alignment more practical, along with progress on evaluating and fixing behavioral issues. He also notes Claude now has a constitution and that more alignment research is being automated.

AIBerkeley AI Research describes adaptive parallel reasoning, in which a reasoning model decides when to split independent subtasks, how many concurrent threads to spawn, and how to coordinate them. The approach targets the latency, context-rot, and cost problems of long sequential reasoning, which can require millions of tokens and tens of minutes for complex tasks. Existing methods such as self-consistency, Tree of Thoughts, ParaThinker, and Hogwild! Inference fix the parallel structure outside the model, which wastes compute on simple problems.

AIOpenAI has shipped GPT-5.5 Instant to ChatGPT, rolling out to everyone over the next couple of days. The quoted post says the model focuses on factuality, reducing hacks, and improving baseline intelligence, and is significantly less likely to hallucinate.

AIAndrej Karpathy argues that LLMs enable new functionality, not just faster versions of existing software, citing an image-to-image app, markdown skill files replacing bash install scripts, and LLM knowledge bases over unstructured data.

AIAndrej Karpathy describes a December 2025 shift in which coding agents began producing larger, more reliable chunks of work, changing programming toward orchestrating agents. He argues that models automate what can be verified and that their capability is jagged, depending on verifiability and what labs emphasize in training, so users need to stay in the loop. He also says hiring, founder opportunities, and agent-native infrastructure should adapt to this shift.

AICognition has opened its Asia-Pacific headquarters in Singapore to expand its autonomous software engineering platform, Devin, across the region. The company says OCBC saw up to 30% improvement in code and test case generation, and its system integration test first-pass rate rose from below 50% to over 80% after deployment. Cognition is building its Singapore team across engineering, go-to-market, and partnerships, with Richard Spence leading APAC.

AIResearchers including David Duvenaud and Alec Radford announced Talkie, an open-weight 13B-parameter LLM trained and finetuned on a newly curated dataset containing only pre-1930 text. Soumith Chintala shared it as a fun test of time for the model.

AICognition argues that enterprises building cloud agents face three problems: shared container kernels, the inability to persist agent state across async gaps, and the scale of orchestration, governance, and integrations. The post says VM-level isolation with hypervisor-level snapshots was needed for Devin, and that organizations must also rebuild engineering processes around agent execution.

AISoumith Chintala says Jensen Huang understood AI ecosystems, trade, and policy far better than host Dwarkesh Patel in their podcast. He argues that no single model such as Mythos marks a critical phase change, since a state-of-the-art Chinese open-source model with three orders of magnitude more test-time compute and unpublished post-training advances would be a more realistic baseline. He also says American policy should use measured, continuous levers across a Western-controlled ecosystem rather than abrupt interventions.

AIOpenAI's Mark Chen rejected the claim that science is no longer a priority, saying AI should accelerate discovery in partnership with scientists. He said Sébastien Bubeck and Helkky are taking on this mandate, which the quoted post frames as a response to reports that OpenAI's VP of Science is leaving.

AIJason Wei describes a trend where individuals gather continuous health data, such as lab tests and wearable metrics, and use AI to understand their bodies. He says he moved from six-month to six-week Function Health blood tests to see how lifestyle changes affect him, and uses AI to analyze the results.

AIThinking Machines has welcomed Luke Drago and @LRudL_, who co-founded Workshop Labs to build AI that keeps humans relevant. Mira Murati says they will continue that mission at Thinking Machines, which builds powerful AI systems that think alongside humans and extend human agency. She ties the hire to the company's broader work, including Tinker, research grants, and advancing the frontier.