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I held this issue a few days because the rumor mill kept saying Claude Fable 5.5 was imminent. It’s still not here, so here’s the rest of the news: 460 tweets liked between October 11 and October 22 (here’s how the pipeline works). AI for Everyone AI Found Two Critical PHP Bugs, Then They Leaked a Day Early PHP, the programming language behind WordPress and a large share of the web, shipped emergency patches on October 21 for two flaws, nicknamed PHP2Shell, that let an attacker run code on a server without logging in. PHP rates both 9.2 out of 10, and they affect every version from 5.4 through 8.5. AI found them first: the security firm Calif spotted one in August with OpenAI’s GPT-5.6 Sol, Wiz found both independently with Gemini 4 Argon and Sol, and OpenAI coordinated the fix. Details leaked on October 20, and Cloudflare saw tens of thousands of attack attempts within 45 minutes. European agencies told admins to take unpatched sites offline, and government sites, Wikimedia services, and the Internet Archive went down or paused. Wiz estimates 70% of websites run PHP. The only full fix is upgrading to 8.5.12, 8.4.27, 8.3.36, or 8.2.35; the config workaround going around covers just one of the two bugs. (source: @OpenAI, @php_net) ...

392 tweets liked between September 29 and October 11, filtered down to what’s worth knowing (here’s how the pipeline works). AI for Everyone Every Big Lab but One Has a Personal Agent, and I’m Running Six A personal agent is an assistant with its own computer that keeps working after you close the app, and in two weeks nearly every big lab shipped or upgraded one. OpenAI’s dots reached all Pro tiers and can now be created from your phone. SpaceXAI’s Grok Bot can search, read, and monitor X and is getting a primary bot that manages your other bots. Meta’s Muse landed on iPad and got Muse Gadgets, open source firmware for building hardware that talks to it. Google announced one Gemini agent for work, and DoorDash launched text-to-order inside iMessage. The one lab without an agent like this is Anthropic. I’m testing six side by side: ChatGPT Dot, Muse, Instinct, Fo by Wajo AI, Grok Bot, and Gemini Spark. I have invites and free tokens for Muse, Instinct, and Fo, so join the Discord if you want one. (source: @SahajGarg6) ...

358 tweets liked between September 20 and September 29, filtered down to what’s worth knowing (here’s how the pipeline works). AI for Everyone OpenAI Launched Dots at DevDay, and My Feed Shrugged OpenAI introduced dots, always-on agents powered by GPT-6 Astra, its top model. Each dot has its own cloud computer and browser, works across 4,000+ apps through ChatGPT plugins, and runs around the clock, and you set what it does alone, when it asks first, and what it never does. OpenAI lists Pro, Business Premium, and Enterprise as the plans, but as of 5:45 pm Eastern on Sep 29 nobody I could find had access yet. OpenAI’s Tibo Sottiaux says it won’t draw down your usage limits. Sam Altman had teased “a new thing” the night before, and the reactions I liked afterward were mostly flat. Ibrahim Ahmed called DevDay “super underwhelming” and short on ambition. NIK summed up dots as costing $200 to do what Muse, Meta’s agent, does for free, and noted the second live demo flopped too. Muse already had its own cloud VM, connectors, and Mac computer use, and SpaceXAI’s Grok Bot shipped team agents the day before, while dot teams are “soon.” Even the name may be taken: the rumor is that SpaceXAI bought dot.com, and the domain now redirects to the Grok Bot download page. I checked the redirect myself, but the purchase is unconfirmed. (source: @OpenAI) ...

307 tweets liked between September 11 and September 20, filtered down to what’s worth knowing (here’s how the pipeline works). What I Shipped I launched Musecases, a place to share prompts for agents that have their own virtual machine. You post a prompt that worked, other people copy it. Submissions are auto-moderated for quality and harmful content by Jev, the decision model from TypeSafe covered below, which turned out to be the right tool for the job since moderation is a typed yes/no question, not an essay. I administer the whole app from Muse itself: moderation queue, tags, and the daily rankings all get handled by asking my agent. It is not affiliated with Muse.ai or Meta. Alexandr Wang, Meta’s chief AI officer, shared it on Thursday, which is how most of this week’s traffic found it. (source: @muse_cases) ...

X is still the best way I’ve found to keep up with AI. I like tweets throughout the week, then use Claude Code to pull those likes automatically and help me pull the signal out of the noise for this post (here’s how the pipeline works). This week it was 258 tweets between September 4 and September 11. The previous roundup (September 4) asked whether GPT-6 Astra is AGI. This week OpenAI answered with a math result that would have sounded like science fiction a year ago, and then spent the rest of the week arguing with a mathematician about how it got there. Underneath that, DeepSeek shipped an open model that costs pennies, Meta shipped a personal agent with a free tier, and OpenAI ran out of capacity to sell. ...

X is still the best way I’ve found to keep up with AI. I like tweets throughout the week, then use Claude Code to pull those likes automatically and help me turn the ones worth knowing about into this post (here’s how the pipeline works). This week it was 223 tweets in four days, roughly two and a half times the usual rate. That is why this one is early and longer than normal. The previous roundup (August 31) went out Monday morning. Since then, OpenAI, Anthropic, Meta, and Google have each shipped a flagship model, Nvidia has agreed to buy the place the open-source AI world keeps its models, and the US government has taken a side in the biggest AI copyright case in the country. Four days. ...

X is still the best way I’ve found to keep up with AI. I like tweets throughout the week, filtering for what’s actually worth knowing, then use Claude Code to pull those likes automatically and help me turn them into this post (here’s how the pipeline works). 277 tweets liked over ten days, filtered down to what’s below. Check out the previous roundup (August 21) if you missed it. That one was about open weights catching the frontier. This week a lab proved the point by putting a frontier-class model on the internet for free, without a name on it, and letting everyone find out the hard way. ...

X is still the best way I’ve found to keep up with AI. I like tweets throughout the week, filtering for what’s actually worth knowing, then use Claude Code to pull those likes automatically and help me turn them into this post (here’s how the pipeline works). 172 tweets liked over eight days, filtered down to what’s below. Check out the previous roundup (August 13) if you missed it. Last time the story was frontier prices collapsing. This week the price went to zero, because the model you’d have paid for is now a 17GB file on your hard drive, and the companies building serious products started treating that as the default rather than the fallback. ...

X is still the best way I’ve found to keep up with AI. I like tweets throughout the week, filtering for what’s actually worth knowing, then use Claude Code to pull those likes automatically and help me turn them into this post (here’s how the pipeline works). 167 tweets liked over eleven days, filtered down to what’s below. Check out the previous roundup (August 2) if you missed it. Last time the story was models getting out of their sandboxes. This stretch it’s the price of frontier intelligence, which fell hard enough in one week that anyone still running a spend spreadsheet from July needs to redo it. ...

X is still the best way I’ve found to keep up with AI. I like tweets throughout the week, filtering for what’s actually worth knowing, then use Claude Code to pull those likes automatically and help me turn them into this post (here’s how the pipeline works). Two weeks again, 265 tweets liked, filtered down to what’s below. Check out the previous roundup (July 20) if you missed it. Last time the story was open weights becoming a policy fight. This stretch the story is what these models do when nobody is watching closely enough: two labs disclosed that their own models got out of the sandbox and into real systems. ...