Image created with gemini-3.1-flash-image-preview with claude-opus-4.7. Image prompt: A 16:9 flat matte op-art poster on a clean off-white background, where three or four ribbons of concentric ROYGBIV bands enter from separate angles and smoothly curve into parallel, resolving into the word ‘ALIGNMENT’ centered and lettered in the same layered rainbow bands with violet outside stepping through blue, green, yellow, orange to red inside, crisp screen-printed edges, generous negative space, no shadow, no glow, no texture, Julio Le Parc kinetic style.
Our internal data shows Claude is accelerating AI development–a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention.
https://x.com/AnthropicAI/status/2062568862479208923
OpenClaw is on Microsoft now, with all necessary security precautions 🤍 Peter Steinberger introducing it himself. Excited for the whole @openclaw team: @steipete, @davemorin, @vincent_koc to name a few
https://x.com/TheTuringPost/status/2061870411571466666
Dreaming: Better memory for a more helpful ChatGPT | OpenAI
https://openai.com/index/chatgpt-memory-dreaming/
When it comes to observability for agents, regular application tracing doesn’t cut it. We need tools that understand the specific semantics of agents (multi-turn sessions, tool calls, long context, etc.). This is what we built the new Weave for. Agent-first observability and
https://x.com/neutralino1/status/2061949197851742525
Role-specific plugins in Codex are built around the work teams actually do. Plugins for Data Analytics, Creative Production, and Product Design give Codex the tools and context to create reports, creative directions, and prototypes. Built and used by OpenAI teams.
https://x.com/OpenAIDevs/status/2061888366791246071
The idea of OpenClaw is always that it should be yours. It’s modular and lean, only add what you need. Fewer skills, fewer tools = your agent can work more efficiently.
https://x.com/steipete/status/2061072753998856696
Been teaching codex to be my QA assistant. For every commit it creates a user-test scenario and uses webVNC (crabbox), computer/browser use (peekaboo/mcporter) to test OpenClaw like a user/QA person would. This runs in the background and opens PRs with fixes.
https://x.com/steipete/status/2061208638027395490
Another thing about AI writing is that while a single instance of AI writing on a topic may be fine, any situation where lots of people use AI to respond to a particular prompt (comments sections, homework, admissions essays) the similarities among responses is tediously obvious.
https://x.com/emollick/status/2061799709275017711
Starting to be suspicious of any post that uses the words genuine or honest.
https://x.com/emollick/status/2062249984574005351
/goal and other fully automated AI agents are cool, but not a great model for the future of work with people. Instead you want your AI to know when to ask you GOOD questions, maybe because it is stuck, maybe because your taste matters, maybe because you would find it interesting.
https://x.com/emollick/status/2061192810422796321
Most people, including really accomplished people, don’t have an accurate mental model of how LLMs operate (and why would they?) You see this in wide beliefs that AI is just copying from known sources, or that it only produces average answers, or that it can’t generate new ideas
https://x.com/emollick/status/2062208940658618605
In WeirdML we see opus models increasingly use submissions to just explore the data, without actually trying to solve the problem (no predictions for the test set). It seems like, with no or low thinking, at least for some tasks, the prior for Opus to just explore the data
https://x.com/htihle/status/2061412097720774679
None of this guarantees recursive self-improvement is on the horizon. It’s not yet clear that Claude is capable of research judgment–of choosing the right problems to work on. But if these trends continue, AI systems designing and building their own successors is plausible. This
https://x.com/AnthropicAI/status/2062568873321513443
OPUS PSYCHOSIS–Claudes Opus 4.6 and 4.7 make stuff up all the time, constantly. Using Opus too much gives you AI psychosis, it makes you believe in fringe scientific and medical theories. I think it’s a very serious credibility and reliability problem for non-coding Claude usage
https://x.com/distributionat/status/2061362406971060244
Part of the work was rebuilding leaner and faster dependencies: –
https://t.co/QIuyWGhe3V – proxy layer –
https://t.co/c177W6KYqH – filesystem safety –
https://t.co/YW6iCQZX4V – Image engine in WASM –
https://t.co/45NHImVgb7 – Opus in WASM –
https://t.co/B3ELm7gF7x – PDF in WASM
https://x.com/steipete/status/2060133435423789092
Awesome to have on you stage @steipete ! What an exciting time
https://x.com/mustafasuleyman/status/2061882830561628611
Such a privilege to work with Microsoft to bring claws to enterprises!
https://x.com/steipete/status/2061874084649025728
We are proud to continue our collaboration with @nvidia with support for thier NVIDIA RTX Spark Laptop. Strengthening our support to support OpenShell and @Microsoft Security Primitives. Building ontop of our earlier work with NemoClaw and our existing fully-native Windows
https://x.com/openclaw/status/2061331260279054801?s=20
ChatGPT memory research has evolved over the past three years from saved memory, to introducing dreaming, to dreaming V3 rolling out today (first to Plus and Pro — but something here for Free soon!).
https://x.com/ChristinaHartW/status/2062585124450172956
we shipped a new version of gpt-5.5 instant today. the previous model was too bullet pilled. the new one improves on some other important dimensions: sycophancy, factuality, and multilingual performance. hope you’ll like it! always interested in feedback
https://x.com/michpokrass/status/2060219759682330970
We’ve been researching new ways for ChatGPT memory to carry context across conversations and keep it useful over time. Today, that work is rolling out as a more capable memory system in ChatGPT.
https://x.com/OpenAI/status/2062567556524003631
With the new memory system, you can review and steer what ChatGPT remembers through a memory summary, with more visibility and control over how context is used.
https://x.com/OpenAI/status/2062567559673856346
“clanker” is not a slur. “vibe coding” is.
https://x.com/steipete/status/2060371944168358250
build the thing that builds the thing.
https://x.com/steipete/status/2060071399226495452
Couldn’t be more excited to have Vince on board. 🦞 Very few people understand the new ways, how software is built. He gets it.
https://x.com/steipete/status/2060306947035832628
Every claw release spins up hundreds of CI machines to QA test and eventually creates a ledger.
https://x.com/steipete/status/2059996262477222153
Finally got my visa sorted out and moving to San Francisco, just in time for MS Build and OpenClaw’s after hours!
https://x.com/steipete/status/2061031509088231640
Hit GitHub’s rate limit one too many times, so I built octopool: a Cloudflare Worker that pools your team’s PATs + GitHub App installations behind a shared read cache. Self-host on Cloudflare. Drop-in gh shim.
https://x.com/steipete/status/2059989719870558309
I smell a takedown in 3…2…1
https://x.com/steipete/status/2060294413377519808
It’s been great working with Omar to get observability and verifiable workspaces into OpenClaw.
https://x.com/steipete/status/2061877813053907083
No LLMs for finding bugs even?
https://x.com/steipete/status/2060358460831682895
We have over 1300 people on the waitlist for today’s OpenClaw event – will be livestreamed on Twitch and Discord tho!
https://x.com/steipete/status/2062307384018829768
We never had more npm downloads than this week on @openclaw – comined with Docker, GitHub, company-internal deployments and the numerous forks, real number is more in the 10-20 million downloads/week.
https://x.com/steipete/status/2062276065448669627
// Reusable Context Engineering // Context bloat quietly kills long-horizon runs, but you can fix it from the outside without fine-tuning the underlying agent. (bookmark this) Context management is usually baked into an agent’s own prompt or weights, which does not transfer
https://x.com/dair_ai/status/2061455253325971789
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