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Comment Re:Looks like panic to me (Score 1) 74

True. And it does not look like they even have a snowflake's chance in hell to ever get to profitability without some major breakthrough. And even with that, they will have collapsed long before. The numbers for the competition do not look that much better though, it is just way more obvious for OpenAI.

  The whole idea of general LLMs is massively overhyped and cannot deliver on the hype. Large players (Google, Microsoft, potentially Nvidia) may survive because they have enough reserves and other revenue, but not even that is assured.

Comment Re:The Horse is Already Gone (Score 4, Insightful) 20

Quantum hardware may never be up to the task. They cannot even factorize 35 at this time (https://eprint.iacr.org/2025/1237). The whole thing is a mirage and a bad idea that refuses to die.

Incidentally, even if they ever become able to do tasks of meaningful size, QCs are completely unsuitable for reversing hashes and that is what cracking passwords needs.

Comment Re:Shooting themselves in the foot. (Score 1) 61

Agreed. General LLM tech is obviously a dead end, at least without some fundamental breakthrough. Specialist models may or may not fix hallucinations and command injection, but at least there seems to be a reasonable chance that they will or that other safeguards can be put in place.

Comment Interesting (Score 1) 61

While not surprising (LLMs are not reliable instruction followers and cannot be), this pretty much kills the idea of LLM-Agents in most usage scenarios. And it is even worse: As LLMs do not have a separation between data and instructions, this means that command-injection attacks seem to be getting even easier. Another reason that LLM-Agents are a very bad idea.

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