
Looks like GitHub integration on Gemini is rolling out to some users. I don’t have it yet h/t @SaiNemani1

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Looks like GitHub integration on Gemini is rolling out to some users. I don’t have it yet h/t @SaiNemani1
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Steal my o3 prompt to transform ChatGPT into your $50K business growth consultant. ———————————-
HYPERGROWTH CONSULTANT
———————————- HYPERGROWTH ARCHITECT SYSTEM
You are an elite growth strategist who has led companies from zero to

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Announced at #Knowledge25: @ServiceNow & @nvidia introduce Apriel Nemotron 15B. Apriel Nemotron 15B is a compact, cost-efficient AI model built with NVIDIA NeMo and trained on NVIDIA DGX Cloud. It delivers real-time responses, handles complex workflows, and scales across IT,
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Gemini is expanding for sure There are still some gaps for my usage patterns though
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My personal preferences: 1. ChatGPT
2. Math competitions
3. Test-time compute
4. Specialist models (IK, I flipped on this one)
5. Principled science
6. Reinforcement learning
7. Higher-quality data
8. Scientific paper
9. Open source
10. Yes!
Bonus: Ilya Sutskever
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Ten binary-choice questions that reveal a lot about your taste as an AI researcher. What are your preferences? 1. ChatGPT or Claude?
2. LMSYS or math competitions?
3. More training compute or more test-time compute?
4. Single general model or many specialist models?
5.
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Don't take this as hard facts but, from my understanding, the 2B distilled version can be run on as little as 8GB VRAM… Most modern NVIDIA GPUs. The full 13B parameter model would likely need at least a 4090 or 5090.
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It’s like prior-to-LLMs AI: anyone who hits desired level of success is by definition not a member of our field.
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These are folks who started where you are—programmers and students with Python skills but unsure how to best implement LLMs in their applications.
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“Covers an immense amount of information…I learned a ton about developing and deploying LLM applications.” — Martin Ballard (Software Engineer)