New blog! Is frontier asynchronous RL solved?
The blog covers Async RL theory and infrastructure, surveying 8 open-weight frontier labs for the algorithmic techniques and systems fixes to handle train-inference mismatch. Also answered: why do current methods still fail at high policy lag? Which methods scale with horizon and compute?
Anthropic has confidentially submitted a draft S-1 registration statement to the Securities and Exchange Commission.
Pending completion of SEC review, this gives us the option to pursue an initial public offering.
Read more: https://t.co/onGZAhRLvD
While I share Elon’s distaste for credentialism, I think he’s swung a bit far on the anti-researcher pendulum.
It is my experience you need researchers chewing on cigarettes, walking circles in the parking lot, lying on the floor staring at the ceiling, producing many ideas that don’t work, and making terrible engineering decisions, to find the novel borders of Truth.
One of RenTech’s earliest successful strategies didn’t make money until an entry level engineer came in and fixed a trivial mistake in the code. Necessary, but so too was the thousands of hours of cigarette chewing from mediocre engineers.
Having the right ideas >> beautifully engineering the wrong idea.
Beautifully engineering the wrong idea == lots of work with little displacement
OpenAI Robotics is hiring, looking for exceptional full-stack hardware, ops, systems, and ML engineers to help us program and manufacture robots that are useful for society.
AI should be able to help people in the physical world. In the short term, we are focused on robots to support skilled workers to build our future infrastructure; in the long term, we imagine everyone having a personal robot doing anything they need.
Our world simulation research program, led by Aditya Ramesh (@model_mechanic), has evolved over the past year into OpenAI Robotics. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research.
If you love working hands-on across the robotics stack and want to build the future, please consider joining us. Send an email with your background and evidence of exceptional accomplishment to: [email protected]
CEOs are quietly realizing the AI replacement plan has a problem.
Two problems, actually.
One: the token costs for running AI agents are now exceeding what they were paying the employees they fired.
Two: when the tokens run out, the AI stops. Just stops. No continuity. No workaround. Just a spinning wheel where your workforce used to be.
You fired humans to save money and bought a subscription that bills you into a corner.
The employees you let go knew what to do when things broke.
The AI just invoices you for the outage.
And then there’s the permission problem nobody wants to talk about.
To do its job, the AI agent needs access. Full access. Your systems, your patents, your contracts, your future plans. Everything you spent years building, handed over to a process that has no loyalty, no discretion, and no skin in the game.
You didn’t hire a replacement.
You gave a stranger with no soul the keys to everything you own.
Enjoy.
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
Our @ElevenLabs Startup Grants program just got a refresh.
Same mission as always: give early-stage founders the best voice AI on the planet.
33M in credits, free for 12 months across ElevenCreative, ElevenAgents, and ElevenAPI.
That’s over 680+ hours of audio for you to build your startup’s voice with us.
The Google for Startups AI Agents Challenge is now LIVE. 🦾⚡️
Build autonomous systems with @GeminiApp and the recently upgraded Agent Development Kit for a chance to win a share of $90,000 and $500 in @GoogleCloud credits!
Register now to start building: https://t.co/bFkiJTmGpA
New for financial services: ready-to-run Claude agent templates for building pitches, conducting valuation reviews, closing the books at month-end, and more.
Install them as plugins in Cowork and Claude Code, or use our cookbooks to run them in production as Managed Agents.
the fastest growing GitHub repos in finance this week:
1. FinceptTerminal (+10.7K ★)
open-source Bloomberg alternative built in C++20 + Qt6. 37 AI agents in Buffett/Munger/Lynch/Graham style. 100+ data connectors. real-time trading with 16 broker integrations. CFA-level analytics in a single native binary. no Electron, no browser.
2. TradingAgents (+1.5K ★)
multi-agent LLM trading framework. fundamental analyst, sentiment analyst, technicals, risk manager; all working together. supports GPT-5.x, Gemini 3.x, Claude 4.x, Grok. built by UCLA/MIT researchers.
3. last30days-skill (+1.4K ★)
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket and the web in the last 30 days. plug it into any agent. zero setup, instant alpha.
4. daily_stock_analysis (+1K ★)
LLM stock analyzer for US, A-share and H-share markets. auto-builds a daily decision dashboard with exact entry/exit levels. pushes to WeChat/Telegram/Discord/Email via GitHub Actions.
5. QuantDinger (+919 ★)
self-hosted AI quant OS. research markets, generate Python strategies, backtest ideas, run live trading. crypto, US stocks via IBKR, forex via MT5. one Docker Compose, your infra, your data.
6. HKUDS/Vibe-Trading (+611 ★)
personal trading agent from HKU. natural language → strategy → backtest → export to TradingView/MT5/TDX. 71 finance skills, 29 swarm team presets, cross-session memory. one pip install.
7. freqtrade/freqtrade (+467 ★)
free, open-source crypto trading bot in Python. supports all major exchanges, full backtesting, strategy optimization, Telegram control.
8. OpenBB-finance/OpenBB (+447 ★)
open-source Bloomberg alternative. stocks, crypto, options, derivatives, fixed income — one platform. integrates with AI agents via MCP.
9. ashishpatel26/500-AI-Agents-Projects (+386 ★)
curated collection of 500 AI agent use cases across industries, including finance. best resource for finding what's actually being built with agents right now.
10. hsliuping/TradingAgents-CN (+386 ★)
Chinese fork of TradingAgents. fully localized for A-share markets (Shanghai/Shenzhen), Chinese data sources, and domestic LLMs.
bookmark this and start today.