Why does this matter for AI inference specifically? Training = throughput problem. Inference = latency problem. When a user talks to an AI assistant, tokens have to return fast. Latency, memory access, bandwidth, and interconnect all matter, not just raw compute. In large AI
LLMS
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User asks if ChatGPT interface is normal version
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Is this the "normal" version of ChatGPT? The interface looks different from mine.
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AI false facts caught by anti-hallucination prompt library
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This one prompt has caught more wrong "facts" before I shipped them than any tool I pay for. I keep 1,000+ prompts like it in a free library here: http://
godofprompt.ai/prompt-library
?utm_source=twitter&utm_medium=organic&utm_campaign=antihallucination
… What's something an AI made up that you almost believed? -
Hidden honesty mode to force AIs to state facts
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AI makes up things and says them with a straight face. Fictitious sources, invented numbers, no warning. There is a hidden honesty mode that you can activate with a single copy-paste. It forces ChatGPT, Claude, and Gemini to indicate what is a fact, what is
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Nemotron 3 Ultra outperforms GPT 5.5 in intelligence
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Don't sleep on Nemotron 3 Ultra Sometimes surprises me that it is more intelligently capable than GPT 5.5
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Anthropic Talks with Trump Admin Fail, Fable 5 Export Controls Stay
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Update on Fable5/Anthropic: Anthropic flew its top security people to DC. The export controls are still there. Via Wired Anthropic and the Trump administration wrapped up talks on Monday with no resolution – the export controls on Claude Fable 5 are still in place. No end in
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Open platform vs lock-in with company-controlled prompts
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depends if you care about an open platform and model choice or being locked in to one company that decides which prompts are okay and which will be blocked or routed to weaker models.
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Small specialized models will beat frontier intelligence
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Frontier intelligence will be beaten by small and specialized models
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Host Your Own Local LLM on Abacus AI SuperComputer
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🚨 Host Your Own Local LLM On The Abacus AI SuperComputer
— Abacus.AI (@abacusai) 16 juin 2026
Stop being sad about Fable and control your destiny by hosting your own LLM
– host open source LLMs like Qwen and Gemma
– create chat bots or always on APIs
– message it via an always on agents
Use SOTA models like GPT… pic.twitter.com/Etj52juJ4vHost Your Own Local LLM On The Abacus AI SuperComputer Stop being sad about Fable and control your destiny by hosting your own LLM – host open source LLMs like Qwen and Gemma
– create chat bots or always on APIs
– message it via an always on agents Use SOTA models like GPT -
Diversify models to avoid single dependency
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That a model collapses due to a government order in 72 hours is not the problem. The problem is relying on a single model. → 200+ models, one endpoint → failover if one goes down → you control the graph, no black box. Diversifying is