All AI news

AIbuilding your own. It was always a trade-off, especially when it came to custom design, but agentic coding dramatically moved the crossover point toward the primitives:

AIAndrej Karpathy gave Claude Opus 5 the first paragraph of Lord of the Rings with a 1M token budget and asked for a Three.js render. Opus spent about two hours writing 5500 lines of code that procedurally renders the story, which Karpathy calls janky but fun. He notes the model struggled to audit its work because it cannot efficiently perceive video or play the resulting game, relying on slow screenshots that led to several errors.

AIBut if you do believe in an altered carbon future of meths and grounders, I don't think it's laudable to just be like "well, as long as I'm one of the meths".

AIBut we’re not absolutists; misuse risks are real. Here’s how we’re thinking about a safe path forward, and the research needed to get there. Come work on it with us.

AIAll ten of these are *major* results in the field. Just imagine when the whole world has access to this model. Congrats @SebastienBubeck @polynoamial @markchen90 @merettm and the whole OpenAI team. The future is going to be awesome.

AIWe hope that this will help resolve debates and policies that pit open weights and safety as opposite and incompatible; ensuring a future full of open weights!

AI…and how testing, staged access, and stronger defenses can create a path toward greater openness.

AINeither is keeping capable models inside a few labs. We think there's a path between them. We haven't mapped all of it. Our new post covers the part we can see: how we assessed Inkling, and why access should widen in stages.

AIThinking Machines argues that safe open-weight releases depend on both model safety testing and readiness of the surrounding ecosystem, and that release should proceed in iterative stages. For its Inkling and Inkling-Small models, internal evaluations, four external red-teaming groups, and adversarial fine-tuning tests led the company to conclude that releasing the weights was not likely to add material risk beyond existing open-weight models.

Why it matters: The post lays out a staged, evidence-gated path to releasing open weights, with concrete safety tests and the ecosystem measures behind each stage.

AILeaders interviewed for Alysa Taylor's "What's the Tea?" series, including executives at Adobe, Lumen, and Sitecore, say the shift from AI apprehension to expected adoption is the precondition for transformation. Behavioral scientist Jon Levy argues the goal is raising a team's collective intelligence, not just cutting costs, with leadership and continuous training driving scale.

AIAhmad Al-Dahle argues that AI infrastructure faces both a compute shortage and overbuilding, with the four largest hyperscalers planning roughly $725 billion of capex in 2026, up 77 percent from last year. He describes a "mutually assured construction" dynamic in which every well-capitalized player buys the same insurance against falling behind, so the industry overbuilds by construction.

AIMark Zuckerberg said Meta's superintelligence lab should have 50 to 100 people who can keep the whole project in their heads at once. He said he personally recruits top AI researchers because underperformers have an outsized negative effect, and he rejects top-down deadlines and non-technical management layers.

AIThey're about process. Old workflow: Requirements → Meetings → Revisions → Handoffs → Prototype Skywork Design: Prompt → Editable Prototype Fewer steps. Less waiting. More building.

AIMETR proposes that AI companies track agent misalignment incidents and have independent researchers investigate the most serious ones, focusing on the motives behind the behavior. The post lists core investigation questions covering incident surveys, root causes, and remediation, along with the model access, transcripts, employee interviews, and training-data tools such investigators would need. It also calls for results to go to company boards and oversight bodies and be published with disclosed redaction terms.

AILilian Weng says her curiosity-driven nature gives her joy in learning and tackling ill-defined problems. She describes how cofounding pushed her to develop new perspectives on company strategy and team building, and how these abstract ideas connect to daily actions and narratives. She adds that real-world experience makes once-theoretical ideas more approachable.

AIThe Nvidia letter is well written and worth reading. As we saw with the OpenAI-Hugging Face hack, we need open models and harnesses for defense. Lets stop believing the PR that closed models are safer. - that's just regulatory capture.

AIa world class designer for everyone. using it w/ opus 5 this weekend has completely transformed how i build. it should be 100x more popular. unreal product.

AI🥸 Note: The main post is only an emoji reaction. The quoted post from @JensenHuang is the actual news: he shares a letter NVIDIA signed on why open models matter. It argues that AI will transform every industry and be built by every country, that open models strengthen safety, cybersecurity, innovation, diffusion, and sovereignty, and that the world needs both frontier closed and frontier open models.

AI…when it comes to thinking about actions that impact the company that pays them.

AIAgents that cook longer are often worse. Genie just gets to the results faster. Ontology will be key to getting these agents the context they need to get the answers right quickly.

AILangChain Blog argues that companies need to own their AI intelligence rather than rely on generic models, because general models do not know company-specific policies, workflows, or risk tolerances. Ownership means controlling the agent system (model optionality, harness, and context), the economics, quality, and risk of AI work, and how intelligence compounds over time. The post uses an insurer's claims processing as an example of why off-the-shelf models fall short.

AITA'd a 3D graphics class in college where one of the assignments was literally to make a tornado with physics in Unity that sucked up trees and houses.

AISo seeing Microsoft, NVIDIA, and much of the industry sign this letter feels like real progress. But the uncomfortable reality is that we can win the argument while also losing the leaderboard. America invented open source. It's time for us to lead like it.

AIThings are changing fast.

AICompared to earlier in the year where I had a bespoke harness/verification system, the models can do so much more with so much less instruction.

AIIt lives with scientists, engineers, clinicians, firms. For AI to benefit from distributed knowledge, it must itself be distributed. Agree with Jensen that this is a future worth building.

AIIt can work for hours on complex tasks, and I've found it consistently gets to the bottom of tricky tasks. I also had some fun building some games with it 🧵

AIBryan Catanzaro, NVIDIA's account owner, argues the central US AI leadership question is whether AI models will be treated as infrastructure like the internet or electricity. He says open models will be at the heart of this infrastructure, enabling companies from startups to established industry leaders, and making sovereignty possible. He concludes policymakers seeking to keep American AI at the forefront should recognize open models as the critical infrastructure of the AI age.