Birch, The Edge of Sentience (2024), ch. 16 - "simply no way to assess sentience in an LLM"
Schwitzgebel, AI and Consciousness (2025) - "we won't know before we've already manufactured thousands or millions of disputably conscious AI".
Butlin, Long et al., Consciousness in Artificial Intelligence: Insights from the Science of Consciousness (2023) - "no obvious technical barriers to building AI systems which satisfy these indicators".
Chalmers, Could a Large Language Model Be Conscious? (2023) - "within the next decade, we may well have systems that are serious candidates for consciousness".
Long, Sebo, Butlin, Birch et al., Taking AI Welfare Seriously (2024) - "there is a realistic possibility that some AI systems will be conscious and/or robustly agentic in the near future".
Dreksler, Caviola, Chalmers, Sebo et al., Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe? (2025) - survey of 582 AI researchers; median estimate of 25% by 2034, and only 10% that such systems will never exist.
Well there are, today, several models (either text or image or vid) that can be run in a fully deterministic way.
A conscious machine that always answer the very exact same thing, formulated the exact same way, bit for bit, to a query is, well, quite a weird kind of "consciousness".
Now, I know, I know: the counter-argument is going to be "but humans have no free-will and are 100% deterministic too".
I haven't yet decided if humans saying there's no free-will and who consider themselves to be 100% deterministic machines are reasonable or not.
Meanwhile: seed / temperature = 0 and I'll happily turn the power button off of any glorified abacus without feeling bad about it.
The randomness is something we add on purpose; you can set an LLM's "temperature" to 0 to get deterministic output. This tends to make the quality of its responses worse for reasons I don't think anyone really understands, but it's still functional.
I don't think the state of the art LLM providers let you do this anymore (?), but they certainly could if they wanted to, and you can do it yourself with a local model.
qarl · · focus · HN ↗
Schwitzgebel, AI and Consciousness (2025) - "we won't know before we've already manufactured thousands or millions of disputably conscious AI".
Butlin, Long et al., Consciousness in Artificial Intelligence: Insights from the Science of Consciousness (2023) - "no obvious technical barriers to building AI systems which satisfy these indicators".
Chalmers, Could a Large Language Model Be Conscious? (2023) - "within the next decade, we may well have systems that are serious candidates for consciousness".
Long, Sebo, Butlin, Birch et al., Taking AI Welfare Seriously (2024) - "there is a realistic possibility that some AI systems will be conscious and/or robustly agentic in the near future".
Dreksler, Caviola, Chalmers, Sebo et al., Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe? (2025) - survey of 582 AI researchers; median estimate of 25% by 2034, and only 10% that such systems will never exist.
TacticalCoder · · focus · HN ↗
A conscious machine that always answer the very exact same thing, formulated the exact same way, bit for bit, to a query is, well, quite a weird kind of "consciousness".
Now, I know, I know: the counter-argument is going to be "but humans have no free-will and are 100% deterministic too".
I haven't yet decided if humans saying there's no free-will and who consider themselves to be 100% deterministic machines are reasonable or not.
Meanwhile: seed / temperature = 0 and I'll happily turn the power button off of any glorified abacus without feeling bad about it.
antx · · focus · HN ↗
Wowfunhappy · · focus · HN ↗
I don't think the state of the art LLM providers let you do this anymore (?), but they certainly could if they wanted to, and you can do it yourself with a local model.
mitxela · · focus · HN ↗