GPT-5.2 is here! Available today in ChatGPT and the API. It is the smartest generally-available model in the world, and in particular is good at doing real-world knowledge work tasks.

You can now delegate tasks to Claude Code directly from Slack. Simply tag @.Claude in a channel or thread. Coding tasks will automatically be routed to Claude Code and start up a new session on the web.

I’m starting to get into a habit of reading everything (blogs, articles, book chapters,…) with LLMs. Usually pass 1 is manual, then pass 2 “explain/summarize”, pass 3 Q&A. I usually end up with a better/deeper understanding than if I moved on. Growing to among top use cases. On the flip side, if you’re a writer trying to explain/communicate something, we may increasingly see less of a mindset of “I’m writing this for another human” and more “I’m writing this for an LLM”. Because once an LLM “gets it”, it can then target, personalize and serve the idea to its user.

I love this figure from Anthropic's new talk on "Skills > Agents". Here are my notes: The more skills you build, the more useful Claude Code gets. And it makes perfect sense. Procedural knowledge and continuous learning for the win! Skills essentially are the way you make Claude Code more knowledgeable over time. This is why I had argued that Skills is a good name for this functionality. Claude Code acquires new capabilities from domain experts (they are the ones building skills). Claude Code can evolve the skills as needed and forget the ones it doesn't need anymore. It's a collaborative effort, which can easily be expanded to entire teams, communities, and orgs (via plugins). Skills are particularly useful for workflows where information and requirements constantly change. Finance, code, science, and human-in-the-loop workflows are all great use cases for Skills. You can build new Skills using the built-in skill creation tool, so you are always building new skills with all the best practices. Or you can do what I did, which is build my own skill creator to build custom skills catered to the work I do. Just more levels of customization that Skills also enables. Skills flexibility enables future capabilities to be easily integrated everywhere. Competitors don't have anything remotely close to this type of ecosystem. The deep understanding of Anthropic engineers on the importance of better context management tools and agent harnesses is something to admire. Very bullish on Claude Code.

How is AI changing work inside Anthropic? And what might this tell us about the effects on the wider labor force to come? We surveyed 132 of our engineers, conducted 53 in-depth interviews, and analyzed 200K internal Claude Code sessions to find out.

New workflow: 1. Open a voice memo app 2. Brain dump your thoughts on a topic; record it 3. Transcribe it 4. Import transcript into NotebookLM 5. Get it to generate a slide deck using Nano Banana Pro 6. See your rambling thoughts visualized into structured & beautiful slides and feel smart

Creativity is the antidote to scarcity.

Microservices is the software industry’s most successful confidence scam. It convinces small teams that they are “thinking big” while systematically destroying their ability to move at all. It flatters ambition by weaponizing insecurity: if you’re not running a constellation of services, are you even a real company? Never mind that this architecture was invented to cope with organizational dysfunction at planetary scale. Now it’s being prescribed to teams that still share a Slack channel and a lunch table. Small teams run on shared context. That is their superpower. Everyone can reason end-to-end. Everyone can change anything. Microservices vaporize that advantage on contact. They replace shared understanding with distributed ignorance. No one owns the whole anymore. Everyone owns a shard. The system becomes something that merely happens to the team, rather than something the team actively understands. This isn’t sophistication. It’s abdication. Then comes the operational farce. Each service demands its own pipeline, secrets, alerts, metrics, dashboards, permissions, backups, and rituals of appeasement. You don’t “deploy” anymore—you synchronize a fleet. One bug now requires a multi-service autopsy. A feature release becomes a coordination exercise across artificial borders you invented for no reason. You didn’t simplify your system. You shattered it and called the debris “architecture.” Microservices also lock incompetence in amber. You are forced to define APIs before you understand your own business. Guesses become contracts. Bad ideas become permanent dependencies. Every early mistake metastasizes through the network. In a monolith, wrong thinking is corrected with a refactor. In microservices, wrong thinking becomes infrastructure. You don’t just regret it—you host it, version it, and monitor it. The claim that monoliths don’t scale is one of the dumbest lies in modern engineering folklore. What doesn’t scale is chaos. What doesn’t scale is process cosplay. What doesn’t scale is pretending you’re Netflix while shipping a glorified CRUD app. Monoliths scale just fine when teams have discipline, tests, and restraint. But restraint isn’t fashionable, and boring doesn’t make conference talks. Microservices for small teams is not a technical mistake—it is a philosophical failure. It announces, loudly, that the team does not trust itself to understand its own system. It replaces accountability with protocol and momentum with middleware. You don’t get “future proofing.” You get permanent drag. And by the time you finally earn the scale that might justify this circus, your speed, your clarity, and your product instincts will already be gone.

Introducing Google Workspace Studio, where anyone can build a custom AI agent in minutes to delegate the daily grind. Automate daily tasks and focus on the work that matters instead. → https://goo.gle/4p9owy5

Most of coding was never about writing code. AI is just making this more obvious. You no longer need to recall syntax, function structure, boilerplate code, or even API endpoints. That’s the easy part and AI is very good at it. The hard part was never typing. It was always thinking. And it still is.

Which browser are you using ?

Holy shit. I’ve used ChatGPT every day for 3 years. Just spent 2 hours on Gemini 3. I’m not going back. The leap is insane — reasoning, speed, images, video… everything is sharper and faster. It feels like the world just changed, again.

Which number is your current level of setup?

Spotify Wrapped, Granola Crunched.. but what about all your 100k text messages? Introducing iMessage Wrapped > runs FULLY locally on your Mac > open source (remix away) > two terminal commands, and that's it > NO message text read wrap2025 dot com Feedback welcome

Claude Code is personal AGI. You can't use this thing for more than a weekend without realizing it's completely over. At first you make a GUI app, OK cool. Then you're like wait, GUIs are a waste of time, let's just make a terminal app. Then you're like wait APPS are a drag, what if I just ask Claude Code to do the thing directly? Works immediately. Then you're like damn, now asking Claude Code to do stuff feels like a drag, can I... have Claude make a system that says this stuff for me, in the order I've been saying it, for the reasons I've been saying it? Maybe it can do all my tab changing and clicking too? And you really think you're going to break it by asking for something ridiculous, and then even this works, and that's when you realize.... It's over. Claude is now building you an agent system, and it works. Recursively self-improving machine intelligence, today, on your laptop. An agent system building you a custom agent system which gets better simply by using it (and lightly nudging it to improve based on what was learned in the session). I was bearish on Agents for a while. Not anymore. I'm talking home-cooked retard agents. My wife surely thinks I've lost it once and for all. You have to actually pull yourself away because every attempt to find its limit fails to hit any limit. It's not even 'addictive', it's just not believable that the next crazy idea could also work. And then it works and you're like f*ck... It's over.

Claude Code can now run agents asynchronously. Huge for productivity. You can run many subagents in the background to explore your codebase. Work continues uninterrupted. When subagents complete tasks, they wake up/report to the main agent. Workflows feel faster already!

Andrej Karpathy literally shows how to build apps by prompting in 30 mins

I really think Opus 4.5 was a tipping point. I was at a 2 hour build with @cursor_ai event this evening and the scale, diversity and quality of work that people did in 2 hours was like nothing I’ve seen before. Every project that demoed would have been a strong contender for any 48 hours hackathon in 2023. Map that 24x speedup forward into businesses. Months long projects take days now and the benefits compound. What a time to be alive. Thanks @zeror404 for organizing and @ericzakariasson for MCing

if you're not arming Claude with Skills you're missing out on 90% of it's power without SKILLS, you can think of Claude as a smart generalist that can figure it out each time you ask...good, but scratching the surface SKILLS arm a focused, purpose built expert with playbooks and even specialized TOOLS that they use each time

do you agree?