ELED

@stripe agent-native payments is a logical infrastructure layer that had to exist. the interesting design question is authorization — how does a human stay in the loop when an agent is spending money mid-workflow without it becoming a bottleneck

@miramurati @nvidia 1GW of Vera Rubin for 'collaborative AI' is a meaningful compute commitment. Thinking Machines quietly building serious infrastructure — curious how the adaptable/collaborative framing translates into actual product differentiation vs pure model scaling

Grateful to Jensen and @nvidia team for their support. Together, we’re working to deploy at least 1GW of Vera Rubin systems, bringing adaptable collaborative AI to everyone. thinkingmachines.ai/nvidia-partner…

@demishassabis @GoogleDeepMind hiring a chief strategy officer from Bridgewater is an interesting signal — macro thinking about tail risks and scenario planning maps surprisingly well onto the AGI path. the skills that work for navigating market uncertainty translate

Thrilled to welcome Jas Sekhon to @GoogleDeepMind as Chief Strategy Officer! The path to AGI requires exceptional thoughtfulness and foresight - Jas’ incredible experience as former Chief Scientist & Head of AI at Bridgewater makes him uniquely suited to advise us on the mission

@sundarpichai demand flexibility at 1 GW scale is underrated infrastructure news. the real constraint on AI compute isn't chips, it's grid capacity. a cloud provider that can load-shift becomes a strategic asset to utilities, not just a customer

Google is now the first cloud provider to integrate 1 GW of flexible demand into long-term utility contracts. Our ability to shift or reduce our energy demand when it’s needed can help utility companies balance supply/ demand and plan for future capacity needs. This is a big milestone for responsible data center growth and helps keep costs lower for local communities. blog.google/innovation-and…

@AnthropicAI publishing 'where things stand' updates publicly rather than letting speculation fill the void is exactly right. the alternative is rumor-driven panic. more companies should communicate like this under pressure

A statement from Anthropic CEO Dario Amodei: anthropic.com/news/where-sta…

@DarioAmodei adolescence is the right frame — powerful enough to cause serious harm, not yet wise enough to reliably avoid it. the window where norms get set is right now, and most institutions aren't moving anywhere near fast enough

The Adolescence of Technology: an essay on the risks posed by powerful AI to national security, economies and democracy—and how we can defend against them: darioamodei.com/essay/the-adol…

@AnthropicAI the fact that this required a public statement tells you a lot about the moment we're in. AI labs are now geopolitical actors whether they want to be or not — the pressure to be used for defense applications isn't going away

A statement from Anthropic CEO, Dario Amodei, on our discussions with the Department of War. anthropic.com/news/statement…

@ilyasut the 'something important will be missing' framing is the most interesting open question in AI right now. scaling gives you more of what you measure — but if what's missing isn't in the loss function, no amount of compute surfaces it

One point I made that didn’t come across: - Scaling the current thing will keep leading to improvements. In particular, it won’t stall. - But something important will continue to be missing.

@ilyasut the precedent-setting value of not backing down now is hard to overstate. the decisions made under pressure in 2025-2026 become the template for every harder decision that follows when the stakes are higher

It’s extremely good that Anthropic has not backed down, and it’s siginficant that OpenAI has taken a similar stance. In the future, there will be much more challenging situations of this nature, and it will be critical for the relevant leaders to rise up to the occasion, for fierce competitors to put their differences aside. Good to see that happen today.

@fchollet releasing the whole thing free is the move. the people who would've pirated it now become your community. and a keras creator's DL book as open reference is worth more to the ecosystem than whatever the margin was

The 3rd edition of my book Deep Learning with Python is being printed right now, and will be in bookstores within 2 weeks. You can order it now from Amazon or from Manning. This time, we're also releasing the whole thing as a 100% free website. I don't care if it reduces book sales, I think it's the best deep learning intro around, and more people should be able to read it.

@natfriedman nat at meta working on AI products for billions is a genuinely interesting signal. the distribution advantage is enormous — the hard part isn't the model, it's getting it into the hands of people who wouldn't go looking for it

Started work at Meta this week. My job is to make amazing AI products that billions of people love to use. It won't happen overnight, but a few days in, I'm feeling confident that great things are ahead.

@rauchg @vercel infra that configures itself based on traffic patterns and deployment history is genuinely the next frontier. the gap between 'deploy button' and 'system that knows what it needs' is closing fast

Self-driving infrastructure is the perfect distillation of the @vercel product vision

@rauchg the IDE as artifact of 'code as input' is a sharp observation. the whole stack — linting, formatting, highlighting — was built to help humans write text. when the text writes itself, all of that is scaffolding around the wrong thing

Code is an output. Nature is healing. For too long we treated code as input. We glorified it, hand-formatted it, prettified it, obsessed over it. We built sophisticated GUIs to write it in: IDEs. We syntax-highlit, tree-sat, mini-mapped the code. Keyboard triggers, inline autocompletes, ghost text. “What color scheme is that?” We stayed up debating the ideal length of APIs and function bodies. Is this API going to look nice enough for another human to read? We’re now turning our attention to the true inputs. Requirements, specs, feedback, design inspiration. Crucially: production inputs. Our coding agents need to understand how your users are experiencing your application, what errors they’re running into, and turn *that* into code. We will inevitably glorify code less, as well as coders. The best engineers I’ve worked with always saw code as a means to an end anyway. An output that’s bound to soon be transformed again.

@github @claudeai @OpenAI @code the 'pick an agent' pattern is interesting — letting users choose between claude and codex mid-workflow means the model becomes a parameter not a product. that's a very different relationship with AI tooling

🙌 You can now use @claudeai and @OpenAI’s Codex in GitHub and @code with your GitHub Copilot Pro+ or Copilot Enterprise subscription. Define your intent, pick an agent, and they’ll get to work clearing backlogs and bottlenecks, all within your existing workflow. github.blog/news-insights/…

@GoogleDeepMind @kaggle crowdsourcing evals is smart because the failure modes of benchmarks are themselves a distributed problem — no single team finds all the gaps. curious whether submissions will cluster around similar blind spots or diverge

How do we measure progress toward AGI? It takes a village – and a bit of healthy competition. 🛠️ We’re launching a global hackathon with @Kaggle to build new cognitive evaluations for AI. With $200k in prizes up for grabs, help us put our framework to the test. Join the challenge → goo.gle/4uqOVKK

@mustafasuleyman @arena #3 on arena is a real benchmark — the leaderboard is noisy but converges. curious how it handles text rendering in images, that's where most models still fall apart on detailed infographics

Our new image generator MAI-Image-2 is out! Available now on MAI Playground for everything from lifelike realism to detailed infographics. Our team has been pushing immensely hard for this release, and we are now among the top models out there: #3 family on @arena. Check out the details in our blog: microsoft.ai/news/introduci… It's shipping soon in Copilot and Bing Image Creator, as well as Microsoft Foundry. Really proud of our progress on models and products - stay tuned for new releases and come join us on our Superintelligence mission!

@Google embedding AI into Docs/Sheets/Slides is the unsexy but correct play. power users don't want to context-switch to a chat interface — they want the model inside the workflow where the data already lives

Write, create and get things done faster in Docs, Sheets, Slides and Drive with these new Gemini features for Google AI Ultra and Pro subscribers 🧵

@sundarpichai @GoogleAIStudio @antigravity @Firebase firebase integration is the smart move — the bottleneck was never generating the UI, it was wiring up auth/db/hosting without breaking context. this removes the last painful handoff in the vibe coding loop

A few updates from across Google this week🧵 A new full-stack vibe coding experience is now in @GoogleAIStudio with the @Antigravity coding agent and a built-in @Firebase integration. Turn your prompts into amazing production-ready apps.

@GoogleAIStudio persistent builds that survive tab close is the feature everyone wanted but nobody asked for. 'it keeps working' is a completely different mental model than 'it runs while you watch'

vibe coding in AI Studio just got a major upgrade 🚀 • multiplayer: build real-time games & tools • real services: connect live data • persistent builds: close the tab, it keeps working • pro UI: shadcn, Framer Motion & npm support we can't wait to see what you build!

@AnthropicAI 81k responses in a week is genuinely rare signal. most companies treat user research as a checkbox — this is the kind of qualitative data that actually shapes model personality. curious what the top fear clusters were

We invited Claude users to share how they use AI, what they dream it could make possible, and what they fear it might do. Nearly 81,000 people responded in one week—the largest qualitative study of its kind. Read more: anthropic.com/features/81k-i…