MiniMax M3 has landed in the Arena and has moved the Pareto frontier!
Their latest model ranks #7 for Code Arena: Frontend, scoring 1531, it is neck and neck with GLM-5.1. It moves the Pareto frontier in its price class at $0.60 input/$2.40 output per Mtoken.
Congrats to the @MiniMax_AI team on this achievement!
Grok is expanding fast
In just this week, Grok has shown up across voice AI, shopping, crypto, and developer infrastructure:
→ Gopuff launched an AI shopping assistant powered by Grok
→ Cloudflare made Grok models directly accessible through AI Gateway
→ Vapi is bringing Grok voice into millions of AI agents
→ Gemini Crypto is using Grok for market insights
Grok is rapidly becoming an AI layer across apps, platforms, developers, voice, commerce, and real-time data
SpaceXAI is moving insanely fast
🚨OpenAI está regalando $1.200 GRATIS para usar Codex
Solo necesitas un repo público en GitHub, rellenar un formulario y te dan 6 meses de ChatGPT Pro + Codex
Y casi nadie está hablando de esto, seguramente porque no quieren que se entere todo el mundo
Todavía estás a tiempo de solicitarlo, aunque no sepas programar o estés empezando
Así funciona:
1. Instala Cursor, Codex, Claude Code o lo que uses
2. Monta un proyecto, de lo que sea
3. Súbelo a GitHub
4. Pide a tus amigos que le den stars
Deja el link de tu repo en los comentarios, entre todos te daremos Star.
Si tienes dudas de si aceptarán tu proyecto, no te preocupes.
Estos programas aceptan hasta proyectos a medias
Enlace para aplicar abajo👇
A harnessed LLM agent, clearly explained!
Most people picture this as a model with tools bolted on. The real architecture inverts that relationship.
The model itself is deliberately thin. Intelligence gets pushed outward, and the harness composes it at runtime.
Three dimensions orbit the harness core:
- 𝗠𝗲𝗺𝗼𝗿𝘆 holds the state a model shouldn't carry in weights or context. Working context, semantic knowledge, episodic experience, and personalized memory each have their own lifecycle.
- 𝗦𝗸𝗶𝗹𝗹𝘀 hold procedural knowledge. This can cover operational procedures, decision heuristics, and normative constraints that specialize the general model per task.
- 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀 hold the interaction contracts. Agent-to-user, agent-to-agent, and agent-to-tools are three distinct surfaces with their own failure modes.
Between the core and these modules sit the mediators, like sandboxing, observability, compression, evaluation, approval loops, and sub-agent orchestration.
They govern how the harness reaches out and how state flows back in.
The useful question this framing unlocks is: for any new capability, where should it live?
- Stable knowledge goes to memory
- Learned playbooks go to skills
- Communication contracts go to protocols
- Loop governance goes to the mediators
Harness design becomes a question of what to externalize, and how to mediate it.
I'm building a minimal agent harness from scratch and will open-source it soon.
In the meantime, my co-founder wrote an article about the anatomy of Agent Harness, covering the orchestration loop, tools, memory, context management, and everything else that transforms a stateless LLM into a capable agent.
Read it below.
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, then mapped everything he described to what Claude can actually do today.
17 Claude features most people will never find on their own.
Full breakdown in the post below.
How do you get Claude Code to check its own work before handing it back?
Watch how you can encode your manual checks so Claude closes its own feedback loop:
Claude Code creator:
"I don't prompt Claude anymore. I write loops - and the loops do the work. My job is to write loops."
in 30 minutes Boris reveals his actual daily Claude Code setup.
Claude Code + loops + dynamic workflow
Worth more than a $500 vibe-coding course
INSTEAD OF WATCHING NETFLIX TONIGHT.
Spend 1 hour with this.
Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.
The people who watch this tonight will wake up tomorrow with a new skill.
Watch it and Bookmark it now.
'Backrooms' director Kane Parsons isn't a fan of generative AI
"If I could snap my fingers and make generative AI disappear forever, I probably would"
"Creatively, I get no enjoyment from using those tools. It defeats the purpose entirely for me"
He thinks there may be uses in tedious VFX labor 'but right now it's difficult to discuss objectively because there's so much at stake and so many genuinely harmful consequences already happening"
(via @australian)
Anthropic just shipped the most powerful Claude feature.
This just went under 99% of people's noses.
Dynamic workflows are here, and they're extremely powerful.
Master them and your Claude productivity will go through the roof:
We’re bringing new capabilities to GPT-Rosalind, a model series purpose-built for life sciences research at enterprise scale.
It brings GPT-5.5’s agentic coding and tool use together with stronger intelligence for drug discovery, analysis, design, and experimental workflows.
https://t.co/SrAJ3Mt7ka
Claude can now sell for you 🤯
Meet Autosales
An AI Employee that sells your Product FOR You 24/7
Just Paste your website URL and watch it sell.
Trained on Brain data of a $1.2M/year Sales Guy
Comment "Auto" for Exclusive Invite.
MINIMAX M3 + HERMES IS A FREE AI WORKER FOR YOUR COMPUTER
Most people will miss the one setup step that unlocks the whole thing.
The Setup:
→ Minimax M3 is the new agentic model from China
→ Hermes Agent is the free open-source “body” that lets it actually control your computer
→ Plug them together and you can run local app tasks, web searches, reports, and scheduled actions
The Live Test:
✓ Opened the Notes app locally
✓ Created a note saying “hello from Hermes”
✓ Scheduled an afternoon tea task at 3pm daily
✓ Ran inside Agent OS with Minimax M3 Cloud synced automatically
The Power Move:
→ 500,000 token context window
→ Text + image input
→ Works inside Hermes, Claw Code, Codex app, OpenClaw, Codex, and Open Code
→ Can run long-horizon agent tasks for up to 12 hours
The Catch:
✓ Ollama cloud is free to test, but slower
✓ OpenRouter is faster
✓ The Minimax coding plan is better if you want speed without API headaches
Minimax M3 is the brain.
Hermes Agent is the body.
Together, you get a free AI worker that can control apps, write content, search the web, send reports, and run scheduled tasks while you sleep.
Microsoft has launched #OpenClaw as a Windows app, where it is bounded by enterprise security. "You can totally run Open Claw inside your company now. "--OpenClaw founder Peter Steinberger, #MSBuild.
Se seus amigos não estão falando sobre:
• Claude
• Open Claw
• Polymarket
• Guerra do Irã
• Pagar menos impostos
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• Deus
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