AGI in enterprise won’t emerge from LLMs until they can anticipate harm and thin

<!-- SC_OFF --><div class="md"><p>I’ve been saying this for quite some time now and this paper that came out recently really puts it clearly</p> <p><a

<!-- SC_OFF --><div class="md"><p>I want to make a specific and narrow argument here and I am genuinely curious what people in this community think about it. In early 2024,

<!-- SC_OFF --><div class="md"><p>OpenAI CEO Sam Altman joined Alex Heath on the <em>Sources</em> podcast (Sept 2026) for a 1h 09m conversation unpacking why OpenAI paused a

<p><strong>271 zero-day vulnerabilities. One AI model. One Firefox release.</strong> And that's just one of four stories worth your attention this fortnight.</p> <p>If you run

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t5lywi/i_analyzed_922_agentic_task_trace_and_found_the/"> <img alt="I analyzed 922 agentic task trace and

<!-- SC_OFF --><div class="md"><p>The real hallucination going on in the industry right now is not that AI sometimes makes things up, because that's well known.</p> <p>What's

<!-- SC_OFF --><div class="md"><p>I keep seeing people claim that “LLMs can reason like a human” but everytime I have seen these models put to the test in real-like scenarios like

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t47qbw/deepseek_v4_pro_matches_gpt52_on_foodtruck_bench/"> <img alt="DeepSeek V4 Pro matches GPT-5.2 on