Thierno Thiam
@localhost_droid
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لم تنسنى رب ولا انساك
London, England
Joined February 2016
Quand on est pauvre dans un pays pauvre, il faut vendre son matelas. #Kebetu
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Way to go @_sir_kane :)
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Introducing gemini-2.5-flash-native-audio-preview-09-2025 (sorry😅just latest Gemini Live 🔊) It brings - Natural sounding conversations (+ better at pauses/interruptions) - Much more robust function calling Try it now 👉 https://t.co/mZ5AXt8ekx Docs:
ai.google.dev
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My team at @GoogleDeepMind is hiring DevX PM’s, DevX Engineers (fkn DevRel), and more! Pls DM me if you want to work together and are best in class at what you do : )
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Fantastic work by @sayonari on jimakuChan, a live subtitle/translation app for streamers. The latest version is using the #BuiltInAI Translator API to give users fast, private, and free translation directly in the browser without any setup. Another win for #WebAI !
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Hello everyone, I have just heard that the company I'm a lead engineer for is going to downsize so I'm going to look for the next thing from next week. I'm looking to work with AI engineering and am shipping lots of different code automations and agent workflows. Am currently
v0.perflab.io
Model Context Protocol (MCP) server that exposes v0.dev APIs through the Streamable HTTP pattern.
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Introducing EmbeddingGemma, our newest open model that can run completely on-device. It's the top model under 500M parameters on the MTEB benchmark and comparable to models nearly 2x its size – enabling state-of-the-art embeddings for search, retrieval + more.
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Would you like to work at the intersection of product, engineering, developer communities, and research? 👀 We're hiring in the Developer Experience Team at Google DeepMind, where we're contributing to Gemini, Veo, Gemma, AI Studio, and more! We're hiring globally!
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New hobby unlocked: driving segway sur la côte d’azur ! Nice have my fulla heart now ☺️
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Couldn't resist. Here's a pure PyTorch from-scratch re-implementation of Gemma 3 270M in a Jupyter Notebook (uses about 1.49 GB RAM): https://t.co/M2f8EB0KBE
Gemma 3 270M! Great to see another awesome, small open-weight LLM for local tinkering. Here's a side-by-side comparison with Qwen3. Biggest surprise that it only has 4 attention heads!
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🤯🤯🤯
Introducing Gemma 3 270M 🔥 🤏A tiny model! Just 270 million parameters 🧠 Very strong instruction following 🤖 Fine-tune in just a few minutes, with a large vocabulary to serve as a high-quality foundation https://t.co/E0BB5nlI1k
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Some fun things people may have missed from Gemma 3 270M: 1. Out of 270M params, 170M are embedding params and 100M are transformers blocks. Bert from 2018 was larger 🤯 2. The vocabulary is quite large (262144 tokens). This makes Gemma 3 270M very good model to be hyper
huggingface.co
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Asked a few companies how they hire FDEs (forward deployed engineers). Head this article from @alexandr_wang referenced a few times as what worked well:
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Introducing...Perch 2! Our latest open model to analyze bioacoustic data 👀 🐦Classify 15,000 species 🔊Generate audio embeddings for downstream use cases 💻12 billion parameters Blog: https://t.co/cBWWyhx7BG Kaggle: https://t.co/lmbVvOjBcO Paper:
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Hey New York’s folks, it’s me again. I’m in town this week.
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❝ Je suis triste pour cette jeunesse qui grandit sous l’œil implacable des réseaux sociaux. Nous avons eu le luxe de faire nos erreurs à huis clos. Eux, non. Une minute extraite d’une heure de discussion peut suffire à réduire une vie à un jugement public et c’est souvent
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