Wow! Congratulations! This is surprising but also super exciting! Can't imagine how Atlas will evolve with more compute available.

World Labs is joining @AMD! Over the past few years our incredible team has pushed the boundaries of spatial intelligence through models like Marble, RTFM, and now Atlas. By partnering with AMD we will train bigger and better models than ever before, and build out an ecosystem of open models. I can’t wait to get started!

Frequent video gamers performed on cognitive tests like non-gamers that were ~13.7 years younger

So crazy! Just used Atlas to generate this 3D reconstruction of my childhood home from only 3 images I grabbed from google street view. Details are spot on, looks just like how I remember! ⬇️workflow below

Atlas is truly amazing, feels like a giant leap from marble! Is this Opus 4.5 moment for world model!!?

How Anthropic’s product team moves faster than anyone else I sat down with @_catwu, Head of Product for Claude Code at @AnthropicAI, to get a peek into their unprecedented shipping pace, how AI is changing the PM role, and how to be the right amount of AGI-pilled. We discuss: 🔸 How Anthropic’s shipping cadence went from months to weeks to days 🔸 The emerging skills PMs need to develop right now 🔸 Why you should build products that don't work yet—then wait for the model to catch up 🔸 Why a 95% automation isn't really an automation 🔸 Cat’s most underrated AI skill (introspection) 🔸 What Cat actually looks for when hiring PMs now (hint: it's not traditional PM skills) Listen now 👇 youtu.be/PplmzlgE0kg

Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code. But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along. So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions. TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.

The Obsidian team is growing from three engineers to four engineers. Competitive SF salary. Fully remote, live anywhere. Apply below.

1 million context window: Now generally available for Claude Opus 4.6 and Claude Sonnet 4.6.

What if Claude 5 is advising Dario and has already Anticipated All Possible Scenarios

Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings. OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.

The future of obsidian is not for humans to operate/organize, as an owner, you just need to view occasionally

We made the models take the MBTI test - it turns out everyone is a thinker and a judger, but GLM 4.7 is the only one that calls itself a *sensor* Grok 4.1 Fast by @xai - The Commander Gemini 3 Pro by @GoogleDeepMind - The Architect GPT 5.2 by @GoogleDeepMind - The Architect Claude Opus 4.5 by @AnthropicAI - The Architect GLM 4.7 by @Zai_org - The Executive Stalk the accounts at @socialsarena

I’ve never felt LeetCode is a good way to assess engineers, mainly because it rewards pattern memorization more than actual system thinking. I'm glad to see the industry moving toward AI-assisted, real-world problem-solving interviews.

Codex 5.3 dropped right after Claude Opus 4.6, leaving no time to dodge the benchmark—on Terminal-Bench 2.0 it scored 77.3% vs 65.4%.

I've been working on this essay for a while, and it is mainly about AI and about the future. But given the horror we're seeing in Minnesota, its emphasis on the importance of preserving democratic values and rights at home is particularly relevant.

Next iteration of the Vibe Coder's Keyboard - now with Voice Mode!

The recently updated plan mode in #ClaudeCode CLI is underrated, the newly added clear context and continue option is a huge life quality improvement!

#Deepfakes pose new challenges for individuals & society alike. Join us for a conversation w/ experts in #AI & sociotechnical systems on the growing impact of deepfakes. 📌JAN. 23 | 6:30pm | @aadl 🎙️@UMich Profs. Cliff Lampe, Khalid Malik, @radamihalcea ai.engin.umich.edu/events/fr…