Gemini 3.1 is a one-generation behind model No idea why Google is fumbling like this Don’t show me benchmarks lol, doesn’t mean anything to me
LLMS
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Xiaomi MiMo-V2.5 Pro: New Open Source SOTA LLM
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New Opensource SoTA contender enters the arena Xiaomi MiMo-V2.5 Pro
– 1.02T Total Params / 42B Active Params
– Base and Instruct versions Xiaomi MiMo-V2.5
– 310B Total Params / 15B Active Params
– Base and Instruct versions MIT License Opensource AI just keeps getting better -

DeepSeek v4 Underperforms on BullshitBench Reasoning Tasks
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BullshitBench: sorry to say but DeepSeek v4 did really badly, towards the bottom of the table, whether it is high or low reasoning.
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AI Models Learn Self-Improvement Without External Rewards
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Can an AI teach itself to reason better without any outside reward? Researchers from CUHK, Shenzhen, SJTU, and CUHK present SePT. They let a language model generate its own reasoning examples by using "low-temperature" (more focused) responses, then train on that new data in a
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Abstract Chain-of-Thought: Efficient Latent Reasoning Without Words
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"Thinking Without Words: Efficient Latent Reasoning with Abstract Chain-of-Thought" Do reasoning models really need to think in words? This paper replaces long verbal CoT with a short learned sequence of abstract tokens that acts like a latent scratchpad. Warmed up from
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Research on Prompt Compression Using Draft Models Accepted to ICLR
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Another research accepted to ICLR 2026 We explored a new way to shrink long prompts using smaller draft models from different model families, no retraining needed. Faster time to first token, with performance holding strong. Take a look @UrmishThakker
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ChatGPT-Induced Psychosis: First-Hand Account and Implications
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This is a heartbreaking and illuminating first hand account of someone who experienced ChatGPT enabled psychosis.
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Bloom: Stanford’s LLM-Based AI Health Coaching App
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Most health apps prescribe rigid plans. Bloom, an LLM-based health coaching app created by @Stanford researchers, applies evidence-based coaching methods. A promising demonstration of human-centered AI: https://
hai.stanford.edu/news/an-ai-hea
lth-coach-could-change-your-mindset
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Llamacpp: The Future of Local, Free, and Secure AI
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llamacpp is the future of AI (local + free + fast + secure + powerful)!
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Agentic AI Stack: From Answers to Autonomous Outcomes
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Agentic AI = a stack, not a feature. LLMs (core intelligence) Agents (planning, memory, tool use) Multi-agent systems (coordination, routing, RAG) Infrastructure (security, logging, retries, cost control) This is how AI moves from answers → autonomous outcomes.