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the cyberpunk present is weird as fuck: the latest Shai Hulud malware wave contains an LLM prompt to create biological weapons and nuclear weapons, with the purpose to trip LLM safety refusals so that LLM-based code scanning wont see the malware
https://socket.dev/blog/mini-shai-hulud-miasma-and-hades-worms-target-bioinformatics-and-mcp-developers-via-malicious
Yes it is different, because you can reason that out using the context of the situation. An LLM only has the words sent to it, and no ability to analyze whether what it is saying makes sense.
It’s just: you said bed and told, here’s some other words that commonly show up near the word bed, if there’s enough smut in it’s training, it might go a very different direction than your expecting.
Thinking/reasoning tokens kind of approximate that actually, which is what most flagships and even my own local LLM use.
Thinking tokens are quite like normal generative tokens, except that the LLM is ‘talking’ to itself. You can see its thoughts (depending on what settings you’ve put/IDE you use), but they aren’t meant to be the actual response to your prompt. They are what the AI is designed to draft their answer before committing, to explore different options and to ‘reason’ itself into a more refined response.
Reasoning tokens is how AI can actually do math now, rather than just guess a number and pray, by the way.
Yes it is different, because you can reason that out using the context of the situation. An LLM only has the words sent to it, and no ability to analyze whether what it is saying makes sense.
It’s just: you said bed and told, here’s some other words that commonly show up near the word bed, if there’s enough smut in it’s training, it might go a very different direction than your expecting.
Thinking/reasoning tokens kind of approximate that actually, which is what most flagships and even my own local LLM use.
Thinking tokens are quite like normal generative tokens, except that the LLM is ‘talking’ to itself. You can see its thoughts (depending on what settings you’ve put/IDE you use), but they aren’t meant to be the actual response to your prompt. They are what the AI is designed to draft their answer before committing, to explore different options and to ‘reason’ itself into a more refined response.
Reasoning tokens is how AI can actually do math now, rather than just guess a number and pray, by the way.