X is the best way I’ve found to keep up with AI. I like tweets throughout the week, filtering for things I think are actually worth knowing. I use Claude Code to pull those likes automatically and help me turn them into this post (here’s how the pipeline works). This week: 99 tweets liked, filtered down to what’s below.
Check out the previous roundup (Mar 8) if you missed it.
AI for Everyone
Claude Opus 4.6 Gets 1M Context Window at No Extra Cost
Anthropic dropped the long-context surcharge and made 1M tokens the standard for Opus 4.6 and Sonnet 4.6. You can feed in an entire codebase, a stack of PDFs, or hundreds of images and it costs the same as any other request. For Claude Code users on Max, Team, or Enterprise, it’s already the default model. The benchmark number that matters: 78.3% on MRCR v2 at 1M tokens, best-in-class. Load in everything and stop worrying about what to trim. (source: @claudeai, @bcherny, @ClaudeCodeLog)
Tech Guy Built a Custom Cancer Vaccine for His Dog Using AI
This story went everywhere this week, and it deserves to. A tech guy in Australia adopted a dog with terminal cancer, was told she had months to live, and decided to try something different. He spent $3k to sequence the tumor DNA, fed it to ChatGPT and AlphaFold to identify mutated proteins, then worked with UNSW’s RNA team to manufacture a custom mRNA vaccine. No biology degree. No lab access. The dog survived. Grok verified the story is real. I keep thinking about the methodology: sequence tumor, identify mutations with ChatGPT, model proteins with AlphaFold, manufacture vaccine. Every step used publicly available tools. (source: @birdabo, @IterIntellectus)
Perplexity Computer Expands: Pro, Mobile, Android
Perplexity Computer is now available to all Pro subscribers and just landed on iOS, with Android rolling out. The demo use case that got attention: pulling analytics across 5+ platforms and generating a single dashboard in one query. The document review feature (“Final Pass”) runs 5 parallel reviews and returns a marked-up version with edits. Perplexity’s own legal team used it on their MNDA and actually implemented the changes it suggested. The move from Max-only to Pro broadens the audience significantly. (source: @perplexity_ai, @AravSrinivas)
Pokemon Go Players Built a 30 Billion Image AI Map
143 million people thought they were catching Pokemon. They were actually building one of the largest real-world image datasets ever assembled. Niantic disclosed: 30 billion images from AR scans of real locations, now being used to train visual navigation AI for delivery robots. Nobody opted in knowing that was the deal. It’s not necessarily sinister, but it’s a clear model for how consumer apps extract training value at scale. Every photo filter, every AR game, every “scan your room” feature is the same pattern. (source: @Newsforce, @markgadala)
Humanoid Robot Learns Tennis in 5 Hours
Five hours of motion capture data. That’s all it took to train a humanoid robot to sustain multi-shot tennis rallies with a human player, hitting balls at over 15 meters per second with 90% accuracy. A year ago this would have required months of training data. AlphaGo was software. These are robots in physical space. (source: @Rewkang)
NBA AI Swarm Model Turns $1.49M on Polymarket
Someone ran a swarm of AI agents, each trained to think about NBA games differently, let them vote on Polymarket predictions, and walked away with $1.49 million. The insight isn’t that AI is good at sports. It’s that simulating a diverse crowd of AI perspectives outperforms a single optimized model, the same reason human prediction markets beat individual experts. The tool they used (MiroFish) is open source. Most people will file this under “crypto gambling story” but it’s actually a case study in ensemble AI design. (source: @k1rallik)
Karpathy’s AI Job Exposure Map
Karpathy took the 342 occupations the Bureau of Labor Statistics tracks, had an LLM score each one’s AI exposure on a 0-10 scale, and published it as an interactive treemap. The blunt summary: if your entire job happens on a screen, you’re highly exposed. Manual trades and physical jobs score lower. It’s not a prediction, it’s a directional signal. Worth actually looking up your own job category rather than assuming you’re in the safe zone. (source: @_kaitodev)
Travis Kalanick’s Robots Company: Atoms
Travis Kalanick’s next company is Atoms, focused on industrial robots for food manufacturing, mining, and transport. Notably not humanoids. His thesis is that the humanoid form factor is wrong for most industrial jobs. You want robots optimized for specific tasks, not general-purpose machines wearing the wrong body. Whether he’s right, who knows, but when the Uber guy puts his money on purpose-built industrial robots over humanoids, I pay attention. (source: @travisk)
CashClaw: Open-Source Agent That Finds and Does Paid Work
CashClaw is an AI agent that finds jobs on task marketplaces, quotes a price, does the work, and collects payment. It’s now open source. Whether it actually makes meaningful money is TBD, but it learns from each completed task to price and execute better next time. Early, but the “agent that earns its own income” concept is going to keep showing up. (source: @moltlaunch)
AI for Developers
Chrome 146 Enables Native Browser Agent Control
This is the one I’m most excited to try. Before Chrome 146, getting an AI agent into your real browser session meant janky extensions, launch flags, or surrendering your logins to a headless browser. Now it’s one toggle in Chrome settings. Flip it, and tools like Claude Code can use your actual open tabs, your existing logins, all of it. The caveat: if you have hundreds of tabs open (guilty), the official MCP client apparently hangs. The Browser Use CLI or agent-browser handles it better. (source: @xpasky, @shawn_pana, @browser_use)
Claude 2x Usage Promotion
Free bonus for the next two weeks: Anthropic is doubling usage limits during off-peak hours and all weekend, for everyone. Nothing to turn on. If you’ve been rationing Claude Code sessions or hitting limits mid-project, now’s the time to let it run. The promotion runs through March 27. (source: @claudeai, @bcherny)
Manus Desktop: Local AI Agent on Your Machine
Manus went from cloud-only to running on your actual machine. The pitch is that it can do things like sort thousands of photos or rename hundreds of invoices without you touching anything. Each terminal command needs your approval, which is the right call. It’s available now for Mac and Windows. Whether it actually works on your messy real files is another story. The promo videos are always polished. Worth downloading and throwing a real messy folder at it. (source: @ManusAI, @testingcatalog)
Claude Code 2.1.75 + 2.1.76
Two releases this week, both worth noting. The bigger UX change in 2.1.76: MCP servers can now pause mid-task and ask you for input via a form or URL. That means agents can hand control back to you at decision points instead of guessing or stopping cold. Also useful: you can now turn off transcript persistence if you don’t want a record of sessions. Small things, but they add up. (source: @ClaudeCodeLog, @ClaudeCodeLog)
Claude Code Voice Mode
Voice mode is now in Claude Code on desktop. Sounds like a gimmick but it’s actually useful for the “explain what I’m looking at” or “what should I do next” style prompts where typing feels like extra friction. Try it once and see if it sticks. (source: @amorriscode)
Launch Claude Code Sessions from Your Phone
You can now start a Claude Code session from your phone and have it run on your laptop. Useful for queuing up a task from the train before you’re even at your desk. Boris called it mind-blowing. That’s overselling it, but the workflow shift is nice. (source: @bcherny)
agent-browser Goes Full Rust
agent-browser went from Node.js to pure Rust and the numbers are striking: 18x less memory, 99x smaller binary. For a tool you’re running inside agentic loops, that overhead reduction actually matters. It shipped 5 patch releases in 8 hours one day this week. Moving fast. (source: @ctatedev, @ctatedev)
OpenSquirrel: Agent-Centric Code Editor
Most editors bolt agents onto a file-centric model. OpenSquirrel flips it: agents are the primary unit, files are secondary. It’s early, written in Rust with the same GPUI framework that powers Zed, and already supports Claude Code and Cursor. Karpathy asked for something like this and someone built it in a weekend. The question it’s poking at — what does an editor look like when you’re mostly directing agents, not editing files — is one I don’t think anyone has answered well yet. (source: @elliotarledge)
Anthropic Claude Certified Architect Exam
Anthropic launched a formal certification exam for Claude architects. The $100M partner network behind it suggests this is a serious enterprise play, not just a badge. If you’re the person at your company figuring out how to deploy Claude systematically, having a recognized credential may matter sooner than you think. (source: @shannholmberg)
Honorable Mentions
- Context7 CLI: Pulls current library docs into your AI context window in a token-efficient way. Stops Claude from confidently writing deprecated code.
- llmfit: One command scans your hardware and ranks which of 497 models from 133 providers will actually fit. Run this before downloading a 70B model that won’t fit in your RAM.
- Alibaba page-agent: Browser automation that skips Playwright, extensions, and screenshots. Works directly in the browser with natural language and any LLM. (GitHub)
- GLM-OCR: 0.9B parameter model for parsing PDFs locally with state-of-the-art accuracy. Runs on under 1.5GB VRAM in LM Studio.
- Defuddle: YouTube transcript extraction with timestamps, chapters, and speaker diarization. Also powers Obsidian Web Clipper’s Reader mode. MIT open source. (defuddle.md)
Try This Weekend
For everyone:
- Defuddle.md: Paste any YouTube video URL and get a clean timestamped transcript. Try it on a long interview or lecture.
- Perplexity Computer (Pro users): Try the analytics aggregation demo. Give it access to 2-3 platforms and ask for a combined dashboard.
- Karpathy’s job exposure map: Find it at github.com/karpathy/jobs and look up your actual occupation category.
For developers:
- Chrome 146 + Browser Use CLI: Update Chrome, flip the MCP toggle in settings, and let Claude Code drive your actual browser session. Zero extension setup required.
- Manus Desktop: Download it and throw a messy folder of files at it. Real test of whether local agents are ready.
- llmfit: One command to know exactly which local models your machine can run.
- agent-browser auto-connect:
agent-browser --auto-connect open <url>for instant Chrome connection in your agentic scripts.