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I thought your job posting asks were pretty fair. Advantage to show some previous contribution, full time dedication, respect for anonymity, etc. Given the extremely small team, I felt like maybe something like providing proof of previous works/effort is important as everything can be learned
Absolutely crazy how such tiny hardware can be so powerful and support frontier models. @AntlerGlobal@NVIDIAAIDev Each hackathon team got a NVIDIA ASUS Ascent GX10 😛😎🙂 (can run models natively like gemma4-26b, nemotron-3-super, and qwen3.6-35b). Understand why people have these machines running their personal agents.
Hackathon Demo (below)
- Ran real-time image analysis (with Gemma) on toronto traffic cameras for improved congestion modelling
- Ran our NemoClaw (with nemotron-3-super) to send notifications on Telegram
- Trained models to predict congestion / commute
Thank you to Antler and Nvidia
https://t.co/AHlYWdaL1c talks about memory retrieval through wikis vs chat logs in Toronto and agent team for data training / learning @Votee_AI agent skills magic-data-agent-skills / magic-linguistic-agent-skills
@jackiechanisme Yeap! I’ll be going to an event near union. This one. Will you be there? If so we can meet at the event. If not, down for coffee 9:30ish near union
Excited about the video I made for Starcraft BSL 22 - the RO32 starts today, Saturday April 11 · 21:00 CEST live on https://t.co/FCHgEDXoU5
Good luck to all on the Bombastic StarLeague! @BombasticStar@Geir__H@Artosis@ZZZeroPL
https://t.co/9ihS9Bjsom