We figured out the coordination substrate: how agents, jobs, validators, archives, markets, and governance can be arranged so useful work compounds. #AGIALPHA
AGENTS
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Qwen3 27B Runs Locally Rivaling Claude Opus for Coding Tasks
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This is where we are right now. And i’m not gonna lie it feels pretty magical Qwen3.6 27B running inside of Pi coding agent via Llama.cpp on the MacBook Pro For non-trivial tasks on the @huggingface codebases, this feels very, very close to hitting the latest Opus in Claude
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AiScientist Runs Autonomous ML Research for Hours or Days
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The best AI research agent doesn't think harder — it just never forgets. A new paper introduces AiScientist, a system that runs ML research autonomously for hours or days. Setup, coding, experiments, debugging. The full loop, unattended. The core idea is simple: Instead of
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Future LLMs Will Make Prompting as Simple as Asking
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When the LLMs and agents have context, memory, and, eventually, continual learning, prompting will be as simple as asking for what you want. Or sometimes not even having to ask (predictive agents). https://t.co/STBCscbofG
— Paul Roetzer (@paulroetzer) 24 avril 2026When the LLMs and agents have context, memory, and, eventually, continual learning, prompting will be as simple as asking for what you want. Or sometimes not even having to ask (predictive agents).
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Karpathy Explains Claude Skills MCP Servers and AI Agents as New Baseline
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Andrej Karpathy (@karpathy), OpenAI co-founder, ex-Tesla AI, "vibe coding" creator.
— Charly Wargnier (@DataChaz) 24 avril 2026
In just 4 mins, he explains why Claude Skills, MCP servers, and AI agents are past the hype and are now the new baseline for building.
Worth every second ↓ pic.twitter.com/Ef0oDov90gAndrej Karpathy (
@karpathy
), OpenAI co-founder, ex-Tesla AI, "vibe coding" creator. In just 4 mins, he explains why Claude Skills, MCP servers, and AI agents are past the hype and are now the new baseline for building. Worth every second ↓ -
Developing agentic AI solutions for data processing
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Thank you @OpenAI ! J’ai présenté hier au Meetup Codex à Paris comment, dans ma société spécialisée en GEO, @WhiteShipAI
, on a développé une solution agentique basé sur l’API codex pour aider nos clients, mais aussi nous en interne, à lire plus rapidement des données. En gros -
AI Agents as Colleagues in San Francisco Workplaces
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In San Francisco, AI agents are already colleagues. They schedule appointments, draft client files, list investors. One salesperson testifies: “It takes a minute, I save nearly half an hour.” Except that behind the scenes, humans spend their time checking, correcting,
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Sakana AI Launches Fugu Multi-Agent Orchestration System Beta
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Sakana AI is launching the beta test of "Sakana Fugu," a new commercial AI product—a multi-agent orchestration system Blog: https://
sakana.ai/fugu-beta/#Jap
anese
… This is a system that dynamically coordinates multiple frontier foundation models, autonomously selecting the optimal -
Local AI Agent Operations Privacy and Model Flexibility
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3/ A few other cool things I noticed while messing with it. All the agent operations and file processing happen locally right on your device, so your data actually stays private. You can also pick whatever language model you want or just plug in your own API keys.
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QClaw AI automation tool manages tasks via Telegram integration
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2/ The best part is that I do not even need my laptop open to manage this. I connected it to my Telegram, so QClaw just sends my reminders and schedule updates directly to my chat. I can just text it while I am traveling and it executes the tasks back on the app itself then