Fable 5 on Hyperagent is producing the most creative, ambitious work we've ever seen from our agents.
They're self-improving for hours towards open-ended goals. Visual reasoning has spiked noticeably. Outputs are consistently higher quality than Opus, occasionally at lower cost.
5 of our test cases below vs. Opus 4.8 👇
1. Visualize all asteroids in the solar system from NASA data
2. Design a site plan for a 100 acre fitness retreat
3. Reconstruct Apollo control panels from technical PDFs
4. Simulate the supply chain for World Cup jersey sales based on match outcomes
5. Show the effects of solar flares on aurora
Fable 5 is now available on Hyperagent.
Anthropic and OpenAI are both telling engineers to write loops.
Not prompts.
Not agents.
Loops.
That is not a coincidence.
When the two most important AI labs on the planet independently converge on the same pattern — that is a signal worth paying attention to.
Most engineers are still thinking in terms of single calls.
Input → model → output.
The engineers winning in 2026 think in cycles.
Output becomes input. The model evaluates its own work. The loop runs until the result is right.
This is the complete breakdown of what loops are, why they matter, and how to build them ↓
Então deixa eu ver se entendi...
O presidente chama Trump de "imbecil", diz que não tem medo dos EUA, afirma que o Brasil não aceitará o tratamento americano, declara que Trump não é o "imperador do mundo", acusa o governo americano de fomentar conflitos, chama Marco Rubio de "latino-americano frustrado", diz que o Brasil não vai chorar se os EUA quiserem problemas e ainda afirma que ninguém deve ter medo dos Estados Unidos.
Mas, se amanhã surgir alguma sanção ou retaliação contra o Brasil, a culpa será de Flávio Bolsonaro.
INSTEAD OF opening Obsidian just to dump more notes tonight.
Spend 30 minutes studying these workflows.
12,900+ GitHub stars in under three months. Free.
The ones who connect plugins, workflows, and Claude will turn their vault into working memory.
Stop sleeping on AI
Obsidian + Claude Code = your own JARVIS.
Takes 1 hour to build.
Most people will scroll past this and stay unproductive.
The ones who stop and build it will never work the same way again.
We’ve shipped a security-guidance plugin for Claude Code that helps identify and fix vulnerabilities as you’re writing code.
Available for all Claude Code users. Install from the plugin marketplace (/plugins).
Anthropic engineer showed how one person can run 5 AI agents, that code, test, review, and deploy at the same time.
In 30 minutes they built the whole thing live in one session.
Here's what they cover:
> when to use one agent vs a full team
> how to split work so agents don't step on each other > the exact framework for deciding what each agent handles
that's exactly why, I put together a guide on building agent teams that actually work.
full guide in the article below 👇
Grok foundation model V9-Medium (1.5T) has finished training. Evals look good. A lot of Cursor data was added in supplementary training and there is more to come.
Fine-tuning is underway and reinforcement learning begins in a few days. 2 to 3 weeks to public release.
This will be a major improvement over the 0.5T v8-small that currently serves all Grok production traffic, especially for difficult coding tasks.
HERMES AGENT IS TAKING OVER FAST.
And most people still have no idea what’s happening.
If you’re still stuck testing basic AI workflows manually, you’re already behind.
140k+ GitHub stars. Top-ranked on OpenRouter. One-command setup. Persistent memory. Agents that evolve over time.
This beginner walkthrough explains the entire setup in under 1 hour:
Anthropic acaba de resolver el problema que frenaba a las empresas grandes con IA agéntica:
Antes: tu agente necesitaba acceso a tu MCP server → tenías que exponerlo a internet público → área legal decía no
Ahora: MCP tunnel crea un canal seguro vía tunnel .anthropic.com → el agente llega a tu servidor interno sin que salga nada a la red pública
Tu firewall, tus políticas, tu perimeter. El agente opera adentro.
Self-hosted sandboxes (beta pública) + MCP tunnels (research preview) = Claude Managed Agents corre en tu infraestructura
Godfather of AI: "If you sleep well tonight, you may not have understood this lecture."
This 47-minute lecture is the best thing I saw about AI in the last few months.
It will definitely help you understand how it actually works and where it's going.
Geoffrey Hinton built the neural networks behind every AI alive, then quit Google to warn the world about it.
The part nobody wanted to hear:
> AI is already developing abilities its creators didn't intend
> in most cognitive tasks it's already ahead of us
> the question is no longer if it surpasses us but when
> the only decision left is which side of that line you're on
Right now the average person opens Claude, types something, gets an answer, closes the tab.
They think they're using AI. they're using maybe 10% of it.
I went through his entire lecture, built a practical system from what he was describing.
18 steps to actually use Claude the right way, with copy-paste prompts that work today.
Full guide in the post below.