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.
By default they are matrix multiplications. Temperature is added in as forced PRNG because testing found that correlated with better outputs.
Given the same prompts and the same weights, one can get the same answer each time.
In practice, there are a number of optimizations that makes the results dependent upon thing we give up control of to increase performance, meaning the results end up being effectively non-deterministic. But, if you are willing to run it in a slower mode so we don't do some steps out of order to speed things up and don't batch results (or if you consider the determinism of a given batch of requests rather than individual requests), then the same input gets the same output.
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 ↗
SkyBelow · · focus · HN ↗
Given the same prompts and the same weights, one can get the same answer each time.
In practice, there are a number of optimizations that makes the results dependent upon thing we give up control of to increase performance, meaning the results end up being effectively non-deterministic. But, if you are willing to run it in a slower mode so we don't do some steps out of order to speed things up and don't batch results (or if you consider the determinism of a given batch of requests rather than individual requests), then the same input gets the same output.