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Do LLMs Know They Are Hallucinating? Meet Gnosis, the 5M Parameter Observer
The Problem with Hallucinations Despite their impressive capabilities, LLMs often generate incorrect information with absolute confidence. Traditional methods...
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The insecure evangelism of LLM maximalists
Article URL: https://lewiscampbell.tech/blog/260114.html Comments URL: https://news.ycombinator.com/item?id=46609591 Points: 114 Comments: 112...
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Signal leaders warn agentic AI is an insecure, unreliable surveillance risk
Article URL: https://coywolf.com/news/productivity/signal-president-and-vp-warn-agentic-ai-is-insecure-unreliable-and-a-surveillance-nightmare/ Comments URL: ht...
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Why Ontario Digital Service couldn't procure '98% safe' LLMs (15M Canadians)
Article URL: https://rosetta-labs-erb.github.io/authority-boundary-ledger/ Comments URL: https://news.ycombinator.com/item?id=46589386 Points: 16 Comments: 2...
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Anthropic made a big mistake
Article URL: https://archaeologist.dev/artifacts/anthropic Comments URL: https://news.ycombinator.com/item?id=46586766 Points: 53 Comments: 45...
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This Week in AI: ChatGPT Health Risks, Programming for LLMs, and Why Indonesia Blocked Grok
This Week in AI: ChatGPT Health Risks, Programming for LLMs, and Why Indonesia Blocked Grok Pour your coffee and settle in. This week brought some of the most...
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Can AI See Inside Its Own Mind? Anthropic's Breakthrough in Machine Introspection
The Experiment: Probing the Black Box For years, we have treated large language models LLMs as black boxes. When a model says, “I am currently thinking about c...
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LLMs are like Humans - They make mistakes. Here is how we limit them with Guardrails
!Cover image for LLMs are like Humans - They make mistakes. Here is how we limit them with Guardrailshttps://media2.dev.to/dynamic/image/width=1000,height=420,f...
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Won't LLMs eventually train on themselves? It'll slowly decline in output..
TL;DR LLMs train on stuff like documentation, GitHub repositories, StackOverflow, and Reddit. But as we keep using LLMs, their own output goes into these platf...
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I broke GPT-2: How I proved Semantic Collapse using Geometry (The Ainex Limit)
TL;DR I forced GPT‑2 to learn from its own output for 20 generations. By Generation 20 the model lost 66 % of its semantic volume and began hallucinating state...
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LLM Problems Observed in Humans
Article URL: https://embd.cc/llm-problems-observed-in-humans Comments URL: https://news.ycombinator.com/item?id=46527581 Points: 24 Comments: 2...
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Why Image Hallucination Is More Dangerous Than Text Hallucination
!Cover image for Why Image Hallucination Is More Dangerous Than Text Hallucinationhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=au...