Context window comparison: • ChatGPT 5: 400,000 tokens
• Gemini 2.5 Pro: 1,000,000 tokens
• Grok 4 Fast: 2,000,000 tokens that’s 5x bigger than ChatGPT. 2x bigger than Gemini. load your entire codebase as one prompt. every doc. every conversation. every data point. no
LLMS
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Grok 4 Fast has 2M token context window, 5x ChatGPT, 2x Gemini
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Grok 4 Fast’s 2 million token context window is a game changer
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BREAKING: Grok 4 Fast just dropped a 2 million token context window. that’s not an upgrade. that’s a different game. load your entire codebase. your whole product docs. every customer conversation. not as attachments. as one prompt. no more “please summarize this first.” no
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Kimi K2 Thinking emerges as leading open-source AI surpassing others
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sources:
1/ https://venturebeat.com/ai/moonshots-kimi-k2-thinking-emerges-as-leading-open-source-ai-outperforming… 2/ https://huggingface.co/moonshotai/Kimi-K2-Thinking… -
Kimi outperforms GPT-5 on key benchmarks like Humanity’s Last Exam
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the benchmarks aren't close. they're embarrassing. > humanity's last exam: kimi 44.9%, beats closed models
> browsecomp (agentic web search): kimi 60.2% vs gpt-5's 54.9%
> gpqa diamond: 85.7% vs gpt-5's 84.5%
> swe-bench verified: 71.3% (coding tasks)
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China’s $4.6M model beats GPT-5; Moonshot’s Kimi K2 triumphs
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china just dropped a $4.6M model that beats gpt-5. while silicon valley burned billions. moonshot's kimi k2 thinking: – 1 trillion parameters trained for less than a nice house in palo alto. – beats openai's flagship on humanity's last exam (44.9% vs proprietary models)
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DLLM: Transform BERT Models Into Conversational Chatbots
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Library: https://
github.com/ZHZisZZ/dllm
Source: https://
reddit.com/r/LocalLLaMA/c
omments/1osydym/berts_that_chat_turn_any_bert_into_a_chatbot_with/
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dLLM Library Enables Diffusion Language Models Experimentation
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Just found the dLLM library to create Diffusion Language Models
— Maxime Labonne @ ICLR (@maximelabonne) 10 novembre 2025
It's still early but it's insanely fun to experiment with diffusion (training, inference, eval)
dLLM has the potential of becoming the main library for diffusion LLMs pic.twitter.com/FVHSRKl1qfJust found the dLLM library to create Diffusion Language Models It's still early but it's insanely fun to experiment with diffusion (training, inference, eval) dLLM has the potential of becoming the main library for diffusion LLMs
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AI not stealing jobs yet, Yale and Brookings confirm
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AI is not stealing your job yet According to Yale and Brookings: 44 months of data shows AI has had zero meaningful impact on employment. Job openings dropped 30% since ChatGPT launched. The stock market surged 70%. Everyone's calling it "the scariest chart in the world."
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Language Models Lack Consciousness Despite AI Essays
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Interesting essay on AI and consciousness but it ignores the fact that language models do not seem at all conscious if you take a closer look.
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LLM Consciousness: How AI Differs From Biological Brain Evolution
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I get into the question of consciousness a bit in this piece. Those I spoke to who study consciousness largely believe that LLMs work in a way that is at odds with how biological consciousness evolved.