🤖🤖🤖 Code gen | Proponent of Physical AI
Los Angeles, CA
Joined July 2011
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Harry retweeted
Delegate coding. Never delegate understanding.
If code was previously your source of truth for managing understanding, then you need a new source of truth artifact. If code-centric workflows were how you developed that understanding, then you need new workflows.
I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.
Wow 😱
Nearly half a year of silence. We spent it studying one problem: how far RL can scale.
MiMo-V2.6 is in the middle of its RL run right now. Three things we scaled: compute (~2B tokens per step, 1568 prompts × 16 rollouts, fully async), environments and harnesses (multi-task agentic RL, mixed across multiple harnesses in one run), and grader compute (agentic in-group credit assignment, with test-case and rubric-based rewards). We'll open-source the details piece by piece over the coming weeks.
Streaming the run: mimo.xiaomi.com/rl/
I wonder who will pick the embedded evaluators and what their qualifications look like ?
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must…
Harry retweeted
Wondering how to attend an ML conference the right way?
ahead of NeurIPS 2025 (30k attendees!) here are ten pro tips:
1. Your main goals:
(i) meet people
(ii) regain excitement about work
(iii) learn things
– in that order.
2. Make a list of papers you like and seek them out at poster sessions. Try to talk to the authors– you can learn much more from them than from a PDF.
3. Pick one workshop and one tutorial that sounds most interesting. Skip the rest.
4. Cold email people you want to meet but haven't. Check Twitter and the accepted papers list. PhD students are especially responsive.
5. Practice a concise pitch of unpublished research you're working on for "what are you interested in rn?". Focus on big unanswered questions and exciting new directions, *not* papers.
6. Skip the orals. Posters are a higher-bandwidth, more engaging, more invigorating. Orals are a good time to go for a walk or talk in the hallway.
7. for the love of god, do NOT work on other research in your hotel room. Save mental bandwidth for the conference. (This may seem obvious; you'd be surprised.)
8. Talk to people outside your area. There are many smart people working on niches <10 people understand. Learn about one or two that won't help your own work.
9. Attend one social each night. Don't overthink it or get caught up in status games. They're all fun.
10. Take breaks. You can't go to everything, and conferences consume more energy than a normal workweek.
hope this helps, and sad i'm not attending neurips, have fun :)
Nice.
Today, OpenAI is launching a new Alignment Research blog: a space for publishing more of our work on alignment and safety more frequently, and for a technical audience.
alignment.openai.com
Supposed to be at #NeurIPS2025 but falling sick can ruin plans. Quite unfortunate turn of events. Would have been my 4th time. Have fun all. Please don’t leave out sharing good info :)