- Sam Altman details the AI industry’s endgame
- Ex-OpenAI research chief’s Arda debuts at $1.5B
- Make Claude Code check its work after each edit
- Anthropic’s Claude takes on scorpion antivenom
- The report claims Altman favored plan 1: a global enforcer built like the International Atomic Energy Agency, which OAI has lobbied for since 2023.
- The “Demis plan” (named after DeepMind co-founder Demis Hassabis) folds top labs into one lab serving partner countries, similar to CERN’s particle research.
- Altman called plan three (named for AI researcher Eliezer Yudkowsky) “terrible,” with one lab riding self-improving AI to “melt everyone else’s GPUs.”
- He called picking a path, due within a year, “pacing 2.0,” and said it must include a “speed limit” or stopping point for self-improving AI.
The Rundown: Pave is an AI app builder that turns the way your team works into a custom app, connects the tools you already use, and runs the process so you’re no longer the glue holding it together.With Pave, you can:- Describe your process in plain language
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Image source: ArdaThe Rundown: Former OpenAI Chief Research Officer Bob McGrew just came out of stealth with Arda, a startup building AI that helps factories set up assembly lines for new products far faster, launching at a $1.5B valuation after a $160M Series A round.The details:- McGrew pitched Arda as being able to do “for manufacturing engineers what Claude or Cursor does for programmers,” planning builds from design files.
- The comparison is Asia’s factories, where big crews relearn a new design in a day, while reprogramming one automated station can cost nearly $1M.
- Defense firm Anduril, Arda’s first customer, says basic assembly instructions now take 15 minutes vs. 10 hours, and it’d be “behind” without the tech.
- McGrew wants robots on the line next, reprogrammed by Arda’s agents in days, calling the goal “a fully automated version of Shenzhen in West Texas.”
The Rundown: In this guide, you’ll make Claude Code format a settings file and run checks after selected edits. You’ll introduce a small error, see which test catches it, and fix the code without changing the test.Step-by-step:- Open a new practice folder and ask Claude to build the guide’s small shipping calculator. Run the five tests to check that it works before adding a hook
- Add a hook that formats the settings file after Claude writes it. Save the settings on a line and check the hook makes them easier to read without changing values
- Add the shipping tests to the same hook. Have it finish formatting before running the checks, then confirm all five pass
- Ask Claude to introduce the guide’s deliberate error. An order worth exactly $50 should now fail the free-shipping test. Read the failure before fixing anything
- Restore the original rule and run the same tests again. Check that all five pass, then follow the guide’s steps to turn the hook off
The Rundown: For enterprise leaders scaling AI, Glean delivers more useful work per token — because better context, smart model routing, and efficient agent design cut waste before the model ever spends a token.In this story, you’ll see:- How a context layer reduces wasted processing
- Why model routing sends tasks to the right model
- How Glean saves 81% fewer tokens per task vs. Claude Coworker
Image source: CitriniThe Rundown: Anthropic published new research in which an internal AI designed proteins to lock onto scorpion venom toxins and disarm them, run with the investment firm Citrini Research, with two outside labs confirming that 17 of 211 designs worked.The details: - Citrini’s five staffers worked at Anthropic’s offices after they couldn’t get the safety block lifted on their own computers, with an estimated budget of $200,000.
- Claude ran for 64 hours off five human messages, drawing up 318,484 candidate designs and sending 211 to Twist Bioscience and Adaptyv Bio for lab work.
- 17 designs passed the binding tests, but each grabs only one toxin, and the proteins haven’t been tested to see if they can actually stop the venom.
- Citrini declared its moonshot experiment of a universal antivenom ‘failed’, but its takeaway was that the “frontier has moved” for AI and drug discovery.
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- Read our last AI newsletter: Anthropic co-founder says the singularity is here
- Read our last Tech newsletter: What AI sees in your selfie
- Read our last Robotics newsletter: SoftBank’s $18B bet on robot guards
- Today’s AI tool guide: Make Claude Code check its work after each edit
- RSVP to workshop today @12 PM EST: Get real work out of Microsoft Copilot
Source: https://therundownai.beehiiv.com/p/sam- ... afety-race