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#reasoningmodels — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #reasoningmodels, aggregated by home.social.

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  1. Arcee AI released Trinity-Large-Thinking, a 400B parameter open-source reasoning model that scores within 2 points of Claude Opus on PinchBench while costing 96% less at $0.90 per million tokens. Uses sparse architecture activating only 13B parameters per token. Trained for $20M by 30-person team. #OpenSource #AI #ReasoningModels

    implicator.ai/arcee-ai-release

  2. Arcee AI released Trinity-Large-Thinking, a 400B parameter open-source reasoning model that scores within 2 points of Claude Opus on PinchBench while costing 96% less at $0.90 per million tokens. Uses sparse architecture activating only 13B parameters per token. Trained for $20M by 30-person team. #OpenSource #AI #ReasoningModels

    implicator.ai/arcee-ai-release

  3. xAI’s co‑founder exits keep coming, while Lambda outlines a 2025 shift toward bigger context windows, multimodal reasoning models and open‑source inference for AI production. What could this mean for the future of machine learning? Read on for the full story. #AIProduction #ReasoningModels #MultimodalAI #OpenSourceInference

    🔗 aidailypost.com/news/xai-co-fo

  4. xAI’s co‑founder exits keep coming, while Lambda outlines a 2025 shift toward bigger context windows, multimodal reasoning models and open‑source inference for AI production. What could this mean for the future of machine learning? Read on for the full story. #AIProduction #ReasoningModels #MultimodalAI #OpenSourceInference

    🔗 aidailypost.com/news/xai-co-fo

  5. 2025 saw significant advancements in #LLMs, particularly in the areas of #reasoning and #agent based systems. #Reasoningmodels, capable of breaking down #complextasks and utilising tools, revolutionised #coding and #search. The year witnessed the rise of #codingagents, exemplified by #ClaudeCode, which can autonomously write, execute, and refine code. simonwillison.net/2025/Dec/31/ #tech #media #news

  6. 2025 saw significant advancements in #LLMs, particularly in the areas of #reasoning and #agent based systems. #Reasoningmodels, capable of breaking down #complextasks and utilising tools, revolutionised #coding and #search. The year witnessed the rise of #codingagents, exemplified by #ClaudeCode, which can autonomously write, execute, and refine code. simonwillison.net/2025/Dec/31/ #tech #media #news

  7. New AI reasoning models built as neural networks are showing striking convergence across diverse training sets. Researchers say this hints at emergent structure in how machines learn to reason, opening fresh avenues for open‑source computational tools. Dive into the findings and see why this could reshape our approach to artificial intelligence. #AI #NeuralNetworks #ReasoningModels #Convergence

    🔗 aidailypost.com/news/new-ai-re

  8. "The point is that with each advance in AI, new hurdles become apparent; when one missing aspect of “intelligence” is filled in, we find ourselves bumping up against another gap. When I speculated about GPT-5 last year, it didn’t occur to me to question whether it would know how to set priorities, because the models of the time weren’t even capable enough for that to be a limiting factor. In a post from November, AI is Racing Forward – on a Very Long Road, I wrote:

    …the real challenges may be things that we can’t easily anticipate right now, weaknesses that we will only start to put our finger on when we observe [future models] performing astonishing feats and yet somehow still not being able to write that tightly-plotted novel.

    In April 2024, it seemed like agentic AI was going to be the next big thing. The ensuing 16 months have brought enormous progress on many fronts, but very little progress on real-world agency. With projects like AI Village shining a light on the profound weakness of current AI agents, I think robust real-world capability is still years away."

    secondthoughts.ai/p/gpt-5-the-

    #AI #GenerativeAI #LLMs #Chatbots #AIAgents #AgenticAI #ReasoningModels

  9. "The point is that with each advance in AI, new hurdles become apparent; when one missing aspect of “intelligence” is filled in, we find ourselves bumping up against another gap. When I speculated about GPT-5 last year, it didn’t occur to me to question whether it would know how to set priorities, because the models of the time weren’t even capable enough for that to be a limiting factor. In a post from November, AI is Racing Forward – on a Very Long Road, I wrote:

    …the real challenges may be things that we can’t easily anticipate right now, weaknesses that we will only start to put our finger on when we observe [future models] performing astonishing feats and yet somehow still not being able to write that tightly-plotted novel.

    In April 2024, it seemed like agentic AI was going to be the next big thing. The ensuing 16 months have brought enormous progress on many fronts, but very little progress on real-world agency. With projects like AI Village shining a light on the profound weakness of current AI agents, I think robust real-world capability is still years away."

    secondthoughts.ai/p/gpt-5-the-

    #AI #GenerativeAI #LLMs #Chatbots #AIAgents #AgenticAI #ReasoningModels

  10. 🧠 What if you could tell AI how much to think before answering?
    Seed-OSS 36B gives builders a thinking budget knob + 512K context window—control depth vs speed like never before. ⚡

    👉 See how it changes product SLAs, costs, and user experience:
    medium.com/@rogt.x1997/seed-os

    #AI #ReasoningModels #LongContext
    medium.com/@rogt.x1997/seed-os

  11. Seven so-called "replies" to Apple's paper on reasoning models, or as I like to call them, seven exercises in missing the point entirely. 📚🤦‍♂️ It's almost like a bad magic trick: look over here at these rebuttals while we pretend the original issue just vanishes! 🎩✨
    garymarcus.substack.com/p/seve #AppleReplies #ReasoningModels #MissingThePoint #BadMagicTrick #TechCritique #HackerNews #ngated

  12. Seven so-called "replies" to Apple's paper on reasoning models, or as I like to call them, seven exercises in missing the point entirely. 📚🤦‍♂️ It's almost like a bad magic trick: look over here at these rebuttals while we pretend the original issue just vanishes! 🎩✨
    garymarcus.substack.com/p/seve #AppleReplies #ReasoningModels #MissingThePoint #BadMagicTrick #TechCritique #HackerNews #ngated

  13. No more guessing games! 🕵️‍♂️ 's new 'think' feature cleanly separates the model's internal thinking from the content. Easy to enable - just 'think': true in your API request. youtu.be/yBD598s5g8c

  14. No more guessing games! 🕵️‍♂️ #ollama's new 'think' feature cleanly separates the model's internal thinking from the content. Easy to enable - just 'think': true in your API request. #AIdevelopment #ReasoningModels youtu.be/yBD598s5g8c

  15. 🤖 AI
    🔴 OpenAI Unveils o3 & o4-mini Reasoning Models

    🔸 o3 outperforms all models in math, coding & visual tasks; o4-mini balances price & power.
    🔸 First OpenAI models to "think with images" — can analyze blurry PDFs or sketches.
    🔸 Both run Python, browse the web, and will be accessible via APIs & ChatGPT.

    #OpenAI #AI #o3 #o4mini #GPT5 #ReasoningModels

  16. 🤖 AI
    🔴 OpenAI Unveils o3 & o4-mini Reasoning Models

    🔸 o3 outperforms all models in math, coding & visual tasks; o4-mini balances price & power.
    🔸 First OpenAI models to "think with images" — can analyze blurry PDFs or sketches.
    🔸 Both run Python, browse the web, and will be accessible via APIs & ChatGPT.

    #OpenAI #AI #o3 #o4mini #GPT5 #ReasoningModels

  17. Oh, the irony! An article on "reasoning models" that can't reason its way past a #JavaScript prompt. 🤖🧠✨ Maybe it should model how to enable #cookies first before philosophizing! 🍪🙄
    anthropic.com/research/reasoni #irony #reasoningmodels #techhumor #codingstruggles #HackerNews #ngated

  18. Oh, the irony! An article on "reasoning models" that can't reason its way past a #JavaScript prompt. 🤖🧠✨ Maybe it should model how to enable #cookies first before philosophizing! 🍪🙄
    anthropic.com/research/reasoni #irony #reasoningmodels #techhumor #codingstruggles #HackerNews #ngated

  19. Apparently AI reasoning models like Deepseek-R1 and OpenAI o1 suffer from "underthinking", where they abandon promising solutions too quickly, leading to inefficient resource use. To address this, a "thought switching penalty" (TIP) was developed, which improved accuracy across math and science problems.

    the-decoder.com/reasoning-mode

  20. Apparently AI reasoning models like Deepseek-R1 and OpenAI o1 suffer from "underthinking", where they abandon promising solutions too quickly, leading to inefficient resource use. To address this, a "thought switching penalty" (TIP) was developed, which improved accuracy across math and science problems.

    the-decoder.com/reasoning-mode

    #AI #ReasoningModels #DeepSeekR1 #OpenAIo1

  21. The Chinese firm said training the model cost just $5.6 million. Alibaba Cloud followed with a new generative AI model, while Microsoft alleges DeepSeek ‘distilled’ OpenAI’s work.#artificialintelligence #chatgpt #deepseek #deepseekr1 #deepseek-v3 #generativeai #Microsoft #nvidia #openai #reasoningmodels
    DeepSeek Chatbot Beats OpenAI on App Store Leaderboard