specific numbers worth sitting with: > DeepSeek-R1-7B on MATH-500: 93% accuracy (up from 91.6%), tokens cut from 3,871 to 2,141 > DeepSeek-R1-1.5B on AIME 2025: accuracy jumps 6.2 percentage points > Qwen3-8B: response length halved from 18,342 to 9,183 tokens with no accuracy
COMPUTING
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SAGE: Efficient Reasoning with Confidence Checks
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their solution: SAGE (Self-Aware Guided Efficient Reasoning). instead of generating token by token, SAGE extends chains in whole reasoning steps. after each step, it checks: is the model confidently signaling it wants to stop? if yes, reasoning ends. no fine-tuning. no new
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Research initiatives in AI quantum computing and emerging technologies
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Follow my work and research initiatives: Amazing AI, Data, Quantum Computing & Emerging Technologies https://
drdebashisdutta.com Research & Innovation – Quantum, AI & Advanced Systems https://
researchedge.org -
Research Collaboration in AI and Machine Learning Systems
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I welcome discussions and research collaboration in: • Artificial Intelligence
• Scientific Computing
• Machine Learning Systems
• Advanced Predictive Modeling -
Data-Driven AI Modeling Accelerates Scientific Discovery
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As Artificial Intelligence advances, data-driven modeling will increasingly complement traditional scientific approaches, accelerating discovery across engineering and applied sciences.
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NVIDIA GPU Computing Dominance in Multi-Model Training
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Training models on the multiple can get you real pain and that's when you realize why NVIDIA is boss of the gpu compute with it's full stack hardware capabilities.
→ View original post on X — @avikumart_, 2026-03-06 06:26 UTC
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OpenAI announces GPT-5.4 with 1M token context and extreme reasoning
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And same in bullet points, thanks to @blevlabs
's AI agent he and I built together. Here's what OpenAI announced today (March 5, 2026):
• GPT-5.4 launched — new frontier model with 1 million token context window, "extreme" reasoning mode, and the ability to interrupt the model -
Forced compliance, no OpenAI or Anthropic, but Chinese open source models run locally
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They can force American companies to comply. And you can't download OpenAI or Anthropic. You can download lots of Chinese open source models though. Ask @alexfinn what he has running locally on his Mac Studios ($10,000 each no less).
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Playing games while Claude Code thinks: Faster match times
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I continue adding more 𝐅𝐑𝐄𝐄 resources for my @X Subscribers to access: 𝗼𝘃𝗲𝗿 𝟰𝟲𝟬𝟬 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲. Subscribe for only US$6/month #MachineLearning #ML #AI #DataScience #Python #Mathematics #Statistics #SQL #GenAI #AgenticAI
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Building Tenstorrent Cluster for Mass AI Adoption
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2022/2023 was langchain, llama index, LiteLLM, OpenRouter, crew ai, e2b (I’m missing a ton) so it was a lot more core ideas being introduced, vs now it’s more about how to hook these ideas up to make them work reliably and safely