🚀 WELCOME TO METAMESH.BIZ +++ GPT-5 arrives to collective shrug as Altman discovers that exponential hype curves eventually flatten (shocking absolutely no one) +++ OpenAI's Stargate hoarding 40% of global DRAM production because apparently AGI runs on supply chain monopolies +++ DeepSeek models crack like fortune cookies while California politicians negotiate AI safety like it's a Series A term sheet +++ THE FUTURE IS MEMORY-CONSTRAINED AND POLITICALLY COMPROMISED +++ 🚀 â€ĸ
🚀 WELCOME TO METAMESH.BIZ +++ GPT-5 arrives to collective shrug as Altman discovers that exponential hype curves eventually flatten (shocking absolutely no one) +++ OpenAI's Stargate hoarding 40% of global DRAM production because apparently AGI runs on supply chain monopolies +++ DeepSeek models crack like fortune cookies while California politicians negotiate AI safety like it's a Series A term sheet +++ THE FUTURE IS MEMORY-CONSTRAINED AND POLITICALLY COMPROMISED +++ 🚀 â€ĸ
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📚 HISTORICAL ARCHIVE - October 05, 2025
What was happening in AI on 2025-10-05
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🚀 HOT STORY

An interview with Sam Altman and OpenAI President Greg Brockman on the tepid initial reception to GPT-5's launch, scaling, reinforcement learning, AGI, and more

đŸ”Ŧ RESEARCH

ProofOfThought: LLM-based reasoning using Z3 theorem proving

đŸ’Ŧ HackerNews Buzz: 136 comments 👍 LOWKEY SLAPS
đŸŽ¯ Limitations of LLMs â€ĸ Combining LLMs with logical reasoning â€ĸ Practical applications of the approach
đŸ’Ŧ "LLMs lack logical constraints in the generative process" â€ĸ "the marriage of fuzzy LLMs with more rigorous tools can have powerful effects"
🔄 OPEN SOURCE

Huawei's Zurich Lab unveils SINQ, an open-source quantization method that it claims can reduce LLM memory use by 60-70% without significant quality loss

🤖 AI MODELS

Open source text-to-image Hunyuan 3.0 by Tencent is now #1 in LMArena, Beating proprietary models like Nano Banana and SeeDream 4 for the first time

"External link discussion - see full content at original source."
đŸ’Ŧ Reddit Discussion: 18 comments 👍 LOWKEY SLAPS
đŸŽ¯ Model performance â€ĸ Image quality â€ĸ Pricing comparison
đŸ’Ŧ "looks like it might work well with LLM-written prompts but not with human-written prompts" â€ĸ "seems fantastic, but i can understand there are other reactions to it"
đŸĨ HEALTHCARE

Generative AI finds antimicrobial peptides against multidrug-resistant bacteria

🌐 POLICY

AI Sam Altman and the Sora copyright gamble: 'I hope Nintendo doesn't sue us'

🔒 SECURITY

Zero-Click Attacks: AI Agents and the Next Cybersecurity Challenge

🤖 AI MODELS

Qwen3-VL-30B-A3B-Thinking GGUF with llama.cpp patch to run it

"https://preview.redd.it/rsimr0s5t8tf1.png?width=1497&format=png&auto=webp&s=78bae97847f836ea3c715504082caa5c8e93de9e Example how to run it with vision support: **--mmproj mmproj-Qwen3-VL-30B-A3B-F16.gguf  --jinja** [https://huggingface.co/yairpatch/Qwen3-VL-30B-A3B-Thinking-GGUF](http..."
đŸ’Ŧ Reddit Discussion: 28 comments 👍 LOWKEY SLAPS
đŸŽ¯ llama.cpp updates â€ĸ Testing large models â€ĸ Contributing to open source
đŸ’Ŧ "Could you comment here too please?" â€ĸ "It works like a charm. Thanks a lot for the patch."
🔒 SECURITY

DeepSeek AI Models Are Easier to Hack Than US Rivals, Warn Researchers

🧠 NEURAL NETWORKS

T-Mac: Low-bit LLM inference on CPU/NPU with lookup table

đŸ› ī¸ SHOW HN

Show HN: Serve LLM – Spin up a hallucinated web app from a single prompt

đŸ› ī¸ TOOLS

Llmswap: Avoid LLM vendor lock-in – 10 providers with top LMArena models

đŸ”Ŧ RESEARCH

MIT's New AI Platform for Scientific Discovery

💰 FUNDING

Why Fears of a Trillion-Dollar AI Bubble Are Growing

đŸ”Ŧ RESEARCH

[D] Blog Post: 6 Things I hate about SHAP as a Maintainer

"Hi r/MachineLearning, I wrote this blog post (https://mindfulmodeler.substack.com/p/6-things-i-hate-about-shap-as-a-maintainer) to share all the things that can be improved about SHAP, to help potential newcomers see areas of improvements (though we also have "good first issues" of course) and als..."
🔧 INFRASTRUCTURE

Poor GPU Club : 8GB VRAM - Qwen3-30B-A3B & gpt-oss-20b t/s with llama.cpp

"Tried llama.cpp with 2 models(3 quants) & here results. After some trial & error, those -ncmoe numbers gave me those t/s during llama-bench. But t/s is somewhat smaller during llama-server, since I put 32K context. I'm 99% sure, below full llama-server commands are not optimized ones. Even..."
đŸ’Ŧ Reddit Discussion: 39 comments 👍 LOWKEY SLAPS
đŸŽ¯ GPU Configuration â€ĸ Inference Performance â€ĸ Hardware Comparison
đŸ’Ŧ "ik_llama.cpp is significantly faster than vanilla llama.cpp" â€ĸ "Generation is 38% faster with shared memory"
âš–ī¸ ETHICS

Did chatgpt go full No-NSFW

"I don't see any announcement from them but it seems like I can't generate any explicit images or any stories For eg, I used to be able to depict any romantic kiss images or further explicit content while writing stories, but in the last 24 hours I'm not able to do that..."
🔒 SECURITY

AI-powered open-source code laundering

đŸ’Ŧ HackerNews Buzz: 58 comments 👍 LOWKEY SLAPS
đŸŽ¯ AI collaboration â€ĸ Power restructuring â€ĸ Open source preservation
đŸ’Ŧ "I am not an expert computer scientist, and yet I can collaborate with expert computer scientists" â€ĸ "the restructuring of these power structures is not a technical process; it is cultural and political"
🔧 INFRASTRUCTURE

[D] LLM Inference on TPUs

"It seems like simple `model.generate()` calls are incredibly slow on TPUs (basically stuck after one inference), does anyone have simple solutions for using torch XLA on TPUs? This seems to be an ongoing issue in the HuggingFace repo. I tried to find something the whole day, and came across solutio..."
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