Lucas Catão de Moraes

Cybersecurity Specialist | AI and Machine Learning Specialist | Independent Researcher | Startup - DolutechAI
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[Lucas Catão de Moraes @LucasDolutech]

https://t.co/8NWoaGbzjr

[Lucas Catão de Moraes @LucasDolutech]

@thsottiaux I work 24/7 selling sushi and tacos.

[Michael Truell @mntruell]

Excited to release Grok 4.5 with @SpaceXAI.

It's an Opus-class model that's fast and low cost. It's a significant step up over any model we've developed so far, including Composer 2.5, and has become the daily driver for many on our team.

First of many releases. More soon.

[Cursor @cursor_ai]

We've partnered with SpaceXAI to train Grok 4.5.

It’s our most powerful model yet and the first we've built for more than software engineering.

[Cognition @cognition]

Introducing SWE-1.7, the most capable model we’ve trained yet.

It scores within a few points of the strongest frontier models at a fraction of the cost, and is now available at 1000 tok/s.

RL is not hitting its limit: after refining our recipe, we keep seeing gains as we scale

[Z.ai @Zai_org]

Introducing ZCode, the official development environment for GLM-5.2

- GLM Coding Plan subscribers: now 1.5x usage quota in ZCode
- BYOK supported: works with your existing subscriptions and APIs
- Available on macOS, Windows, and Linux

Download now: https://t.co/Peepqv4XSx

[Lucas Catão de Moraes @LucasDolutech]

@hokkori_buzz Japan was a top-level opponent! It was a great game!

[Lucas Catão de Moraes @LucasDolutech]

@shiri_shh é igual Mu Online, reseta e começa do zero, mas mantém os pontos de experiência

[Lucas Catão de Moraes @LucasDolutech]

@lucas_montano Oh, double the goal, haha!

[Lucas Catão de Moraes @LucasDolutech]

@jeffecom Pro + nao é free... gasta crédito normal

[Lucas Catão de Moraes @LucasDolutech]

@CarolGLMs Congratulations! https://t.co/BzaoCkM0DV Team !

[Carol Lin @CarolGLMs]

GLM-5.2 pushes the frontier in coding, reasoning, and agentic workflows while maintaining the same API pricing.

• Open weights
• 1M context
• Strong agent capabilities
• Production-ready economics

This is exactly the foundation needed for the coming Human + Agent Economy.

#AGI #AgentEconomy #AIInfrastructure

[Lou @louszbd]

longer the task, better the performance.

[Lucas Catão de Moraes @LucasDolutech]

@mntruell @elonmusk @SpaceX Nice Job! Congrats !

[Anders Lie @anderslie]

The Municipal IT company of Rio de Janeiro's city government has reportedly gotten early access to Le Chaton Fat, and combined with their learnings from Rio 3.5 Open 397B, has trained "O Gatinho Gordo" which boasts a whopping 1 Quadrillion parameters and has supersaturated all known benchmarks

[Lucas Catão de Moraes @LucasDolutech]

The 1M context window in GLM 5.2 is really well structured for maintaining context!

Congratulations team! @Zai_org

[Lucas Catão de Moraes @LucasDolutech]

@luksamuk E ainda falaram que "gastaram" 500mil reais nisso ....
Ja fiz merge de modelo + SFT gastando 100$ é inacreditável......

Se fosse um base model + SFT rigoroso + DPO para afinar a qualidade da resposta do modelo e um bom RL ! Teria seu grande mérito com certeza...

[Lucas Catão de Moraes @LucasDolutech]

@utpalnadiger https://t.co/52C9gi4Nma

[Nex @NexEcosystem]

The Rio 3.5 model broke the internet this week. The plot twist? It’s essentially our open-source model, Nex N2 Pro, wearing a different hat.

🤯 We analyzed the weights, and the recipe is exact: Rio 3.5 ≈ 0.6 * Nex N2 Pro + 0.4 * Qwen 3.5

It even literally introduces itself as "Nex N2 Pro" if you ask it without initial system prompt!

😂 We are flattered that the City of Rio used our work to achieve SOTA performance. Thanks for the ultimate benchmark validation.

🤝 But in the open-source world, attribution matters.
👇 Full mathematical proof & verify script in the first reply!

[Nex @NexEcosystem]

More details can be found here. https://t.co/Bizz2yvmCa

[Nex @NexEcosystem]

The Rio 3.5 model broke the internet this week. The plot twist? It’s essentially our open-source model, Nex N2 Pro, wearing a different hat.

🤯 We analyzed the weights, and the recipe is exact: Rio 3.5 ≈ 0.6 * Nex N2 Pro + 0.4 * Qwen 3.5

It even literally introduces itself as "Nex N2 Pro" if you ask it without initial system prompt!

😂 We are flattered that the City of Rio used our work to achieve SOTA performance. Thanks for the ultimate benchmark validation.

🤝 But in the open-source world, attribution matters.
👇 Full mathematical proof & verify script in the first reply!