Thanks for inviting me @garrytan
, was awesome to chat and loved the inspirational space! Great to see so many startups building with @googlegemma models!
AI
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Startups Building with Google Gemma Models at Tech Event
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GPT 5.5 Advances Character Generation Capabilities
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GPT 5.5 is definitely a step up in the character game.
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Codex Team Releases Voice Dictation, Browser Use, GPT 5.5
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everything codex team shipped this week: – os wide voice dictation
– auto-review mode
– pdf, docs, tex
– sheets, slides
– browser use
– gpt 5.5 enjoy! -
ChatGPT’s cake text transcription silently fixed punctuation, author admits mistake
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You're absolutely right. ChatGPT's transcription of the cake's text silently corrected missing punctuation on the three lines you noted. I'm leaving this post up as a funny demo but anyone considering citing this in serious work should know about this oversight on my part.
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Nemotron-Personas-Korea Tops Hugging Face Leaderboard
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Super cool to see Nemotron-Personas-Korea hit #1 on @huggingface
. It's also the first Korean persona dataset. Huge shoutout to the team and the dev community pushing open datasets forward -
Aligned News: Exclusive AI News Coverage Source
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Because it still is better than any other place. See https://
alignednews.com/ai you can't get this AI news anywhere else. -
Neural Implant Trade-offs: Power Versus Privacy and Autonomy
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I want one, but will wait for a bit. It takes away your free will, brings major new privacy issues, and has risks of any surgery. But comes with major super powers.
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Brain Computer Interfaces and Robots: The Future of AI
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Wait until we get Brain Computer Interfaces and Robots. 🙂
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Multi-GPU LLMs slow? Use the right Inference Engine for Tensor Parallelism
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I keep seeing the same thing People with multi-GPUs wondering why local LLMs have slow performance …Because you're using the wrong Inference Engine and it's processing things one GPU at a time This old writeup of mine covers Inference Engines & Tensor Parallelism, go read it
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AI mines numbers from scientific papers into usable data
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This #AI mines the numbers buried in scientific papers and turns them into usable data fast
by Jülich Research Centre @TechXplore_com Learn more: https://
bit.ly/3QA7Ymm #ArtificialIntelligence #MachineLearning #ML