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> In effect, large language models act as a virtual machine that is “programmed” in natural language. Well this seems like >60 mins of life I'll never get back

> In effect, large language models act as a virtual machine that is “programmed” in natural language. Well this seems like >60 mins of life I'll never get back, nope. This would be fine for small tasks. I'm not going to trust security sensitive work, critical systems, etc to something specified in natural language that isn't verifiably correct in any way. A virtual machine executing natural language? Nice hand waving. Delivered by a PhD with a startup invested in AI. The conclusions are surprising. </sarcasm>

famouswaffles 3y ago
>I'm not going to trust security sensitive work, critical systems, etc to something specified in natural language that isn't verifiably correct in any way. Uh...so people? Competency is the real bottleneck here not whether you're dealing with a black box or not.
- TeMPOraL 3y ago
  So anything serious will require designing a training program, probably with involvement of pedagogists. Nice thing about code is, it doesn't let you get away with not knowing exactly what you want. You can still get things wrong, but you can't be vague. Regular coding doesn't give you programs that pause halfway through execution and exclaim in surprise, "oh I though we were doing that other thing", or "why didn't you tell me before?".
HellDunkel 3y ago
We just came out of blockchain mania with a blood nose, lost out on nfts, dissappointed by autonomous driving and sickened by virtual reality and we still keep going. Llms are great and all but can we please calm down a little? Not wasting my 60min- appreciate the warning.
- rsynnott 3y ago
  Don't forget the brief period when anyone wanting the favour of the VCs needed to do a chatbot! Ran headlong into Microsoft Tay, and no-one ever talked about it again. LLMs are actually the _third_ AI bubble (after Tay-style chatbots and self-driving cars/over-ambitious CV stuff in general) this decade. Maybe the fourth, if you count the rise and fall of Alexa-type things, though that was a smaller bubble and is stretching the meaning of 'AI' almost to breaking point. But surely, this will be the one that works out.

famouswaffles 3y ago

>I'm not going to trust security sensitive work, critical systems, etc to something specified in natural language that isn't verifiably correct in any way. Uh...so people? Competency is the real bottleneck here not whether you're dealing with a black box or not.

TeMPOraL 3y ago
So anything serious will require designing a training program, probably with involvement of pedagogists. Nice thing about code is, it doesn't let you get away with not knowing exactly what you want. You can still get things wrong, but you can't be vague. Regular coding doesn't give you programs that pause halfway through execution and exclaim in surprise, "oh I though we were doing that other thing", or "why didn't you tell me before?".

HellDunkel 3y ago

We just came out of blockchain mania with a blood nose, lost out on nfts, dissappointed by autonomous driving and sickened by virtual reality and we still keep going. Llms are great and all but can we please calm down a little? Not wasting my 60min- appreciate the warning.

rsynnott 3y ago
Don't forget the brief period when anyone wanting the favour of the VCs needed to do a chatbot! Ran headlong into Microsoft Tay, and no-one ever talked about it again. LLMs are actually the _third_ AI bubble (after Tay-style chatbots and self-driving cars/over-ambitious CV stuff in general) this decade. Maybe the fourth, if you count the rise and fall of Alexa-type things, though that was a smaller bubble and is stretching the meaning of 'AI' almost to breaking point. But surely, this will be the one that works out.