Leon Sólon

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Leon Sólon

Leon Sólon

@leonsolon

Dad, AI Researcher, Singer

Brasília, Brasil 가입일 Haziran 2011
1.3K 팔로잉493 팔로워
João Fonseca Updates
João Fonseca Updates@fonsecaupdates·
O mundo do tênis não está preparado para essas duas torcidas reunidas 😂 Nossa prima Alex Eala cita João Fonseca como um dos jogadores com quem ela gostaria de formar uma dupla.
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Vanessa F.
Vanessa F.@lpbrvf·
Rui, na idade atual do João o Vacherot fazia o curso profissionalizante de design gráfico no Senac de Monte Carlo. Fico emocionada de ve-lo atingir SF em Mônaco nessa idade que se aproxima da aposentadoria dos atletas. Um benção realmente.
Rui@Bauernoronha

@AlemTenis E o que é mais incrível, apesar de difícil de admitir, é que o Vacherot joga mais que o João.

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NASA
NASA@NASA·
Welcome home Reid, Victor, Christina, and Jeremy! 🫶 The Artemis II astronauts have splashed down at 8:07pm ET (0007 UTC April 11), bringing their historic 10-day mission around the Moon to an end.
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NASA
NASA@NASA·
Hello, Moon. It’s great to be back. Here’s a taste of what the Artemis II astronauts photographed during their flight around the Moon. Check out more photos from the mission: nasa.gov/artemis-ii-mul…
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NASA
NASA@NASA·
Even in darkness, we glow. In this image of Earth taken by the Artemis II crew, we can see the electric lights of human activity. In the lower right, sunlight illuminates the limb of the planet.
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NASA
NASA@NASA·
We see our home planet as a whole, lit up in spectacular blues and browns. A green aurora even lights up the atmosphere. That's us, together, watching as our astronauts make their journey to the Moon.
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Right Angle News Network
Right Angle News Network@Rightanglenews·
BREAKING - Passengers on an American flight from Atlanta to Puerto Rico captured one of the closest videos of the Artemis II launch from their plane, and it’s going massively viral, with some commenters expressing concern about how close the plane was to the rocket.
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ollama
ollama@ollama·
.@GoogleDeepMind Gemma 4 is here with state-of-the-art models targeting edge and workstations. Requires Ollama 0.20+ that is rolling out. 4 models: 4B Effective (E4B) ollama run gemma4:e4b 2B Effective (E2B) ollama run gemma4:e2b 26B (4B active MoE) ollama run gemma4:26b 31B (Dense) ollama run gemma4:31b Benchmarks 👇👇👇
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Google@Google

Start experimenting with Gemma 4 now in @GoogleAIStudio or download the model weights from @HuggingFace, @Kaggle and @Ollama. Learn more → goo.gle/48ef4TB

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OpenRouter
OpenRouter@OpenRouter·
New public experiment: Model Fusion Use multiple models, analyze outputs, and fuse the results for a response that every Deep Research agent preferred to its own, in our testing. No subscription needed at all.
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ollama
ollama@ollama·
Ollama is now updated to run the fastest on Apple silicon, powered by MLX, Apple's machine learning framework. This change unlocks much faster performance to accelerate demanding work on macOS: - Personal assistants like OpenClaw - Coding agents like Claude Code, OpenCode, or Codex
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Kami Sama Explorer 👹👒
Kami Sama Explorer 👹👒@kamisamaexp·
CLÉCIO SOUTO. Um dos maiores dubladores do país. Obrigado pelo seu trabalho incrível.
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Felipe Coury 🦀
Felipe Coury 🦀@fcoury·
@leonsolon @datahackersofic Como assim entrevista cara? 😆 Eu começo de verdade terça-feira que vem, mas eu acredito que se o time ver a demanda e o engajamento acho que pode rolar alguma coisa com o Codex sim.
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Felipe Coury 🦀
Felipe Coury 🦀@fcoury·
Brasileiro é foda. Vocês dobraram meus seguidores em um dia. 🙏 I can't thank you enough for the support! If you're a new follower, nice to meet you — I'm Felipe. I've been writing code for 30 years (yes, I started very young, do the math gently). 🧵👇
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Z.ai
Z.ai@Zai_org·
GLM-5.1 is available to ALL GLM Coding Plan users! z.ai/subscribe
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0xSero
0xSero@0xSero·
Qwen3.5-35B compressed 20% with 1%~ performance drop on average. Now you can fit this (4bits) with full context on 24GB of VRAM 700$~ or 1x 3090 huggingface.co/0xSero/Qwen-3.…
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atomic.chat
atomic.chat@atomic_chat_hq·
Google Turbo Quant running Locally in Atomic Chat MacBook Air M4 16 GB Model: QWEN3.5-9B Context window: 50000 Summarising 20000 words in just seconds.. You can do 3x larger context window, processing 3x faster than before!
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