Rich Harang
Practitioner with public evidence across Safety & security.
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Articles & links
The self-promotion gods dictate that I must say "I wrote more about this here: developer.nvidia.com/blog/practic... " It's a few months old at this point but I think it still stands up.
Recent commentary
The statement 'we do/do not understand how LLMs work' almost invariably confuses two very different things. On the one hand, we absolutely can map and describe, in great detail, every single mathematical operation that they perform to generate an is answer. But...
I can't express how much I hate having to review LLM-generated slop from 'writers' with no expertise in the area that they didn't bother reviewing at all. Overstated claims, incoherent framing, nonsequiters stuffed into lists, glaring technical errors that even a brief review would have caught.
Since recent events seem to have dragged AI powered biosafety back into the chat, thought I'd take the excuse to repost this. IYKYK.
Anecdotal and vibes, but Opus 5 and Fable both seem distinctly worse than GPT 5.6 at multistep reasoning outside of coding. The Anthropic ones also careen wildly between rank sycophancy and getting extremely pissy when you push back. Hard to trust, sometimes annoying to use.
Search Google for MITRE ATLAS -- a terrible AI summary, four sponsored results, six suggested searches, a bunch of youtube videos, four more suggested searches, social media results (what?), and finally, an actual result. Followed by another sponsored result and six more suggested searches.
LLMs / agents / whatever do not inherently have things like code execution, bash access, network access, etc. We decided at some point that, despite the now obvious and repeatedly demonstrated risks of these tools, they should be baseline features of agentic tools. We can make better decisions.
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