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Schedule tasks on the web

code.claude.com

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Re: Schedule tasks on the web

#61

Post by thin_carapace »

heavyset_go wrote: post #54
thin_carapace wrote: post #25

Earlier quoted context omitted.

i dont see anyone sane trusting ai to this degree any time soon, outside of web dev. the chances of this strategy failing are still well above acceptable margins for most software, and in safety critical instances it will be decades before standards allow for such adoption. anyway we are paying pennies on the dollar for compute at the moment - as soon as the gravy train stops rolling, all this intelligence will be ou…

> as soon as the gravy train stops rolling, all this intelligence will be out of access for most humans. unless some more efficient generalizable architecture is identified. All Chinese labs have to do to tank the US economy is to release open-weight models that can run on relatively cheap hardware before AI companies see returns. Maybe that's why AI companies are looking to IPO so soon, gotta cash out and leave reta…

i was under the impression that we were approaching performance bottlenecks both with consumer GPU architecture and with this application of transformer architecture. if my impression is incorrect, then i agree it is feasible for china to tank the US economy that way (unless something else does it first)

Re: Schedule tasks on the web

#62

Post by PeterStuer »

heavyset_go wrote: post #54
thin_carapace wrote: post #25

Earlier quoted context omitted.

i dont see anyone sane trusting ai to this degree any time soon, outside of web dev. the chances of this strategy failing are still well above acceptable margins for most software, and in safety critical instances it will be decades before standards allow for such adoption. anyway we are paying pennies on the dollar for compute at the moment - as soon as the gravy train stops rolling, all this intelligence will be ou…

> as soon as the gravy train stops rolling, all this intelligence will be out of access for most humans. unless some more efficient generalizable architecture is identified. All Chinese labs have to do to tank the US economy is to release open-weight models that can run on relatively cheap hardware before AI companies see returns. Maybe that's why AI companies are looking to IPO so soon, gotta cash out and leave reta…

They could still eliminate relatively cheap hardware.

Re: Schedule tasks on the web

#63

Post by thin_carapace »

slopinthebag wrote: post #34
thin_carapace wrote: post #25

Earlier quoted context omitted.

i dont see anyone sane trusting ai to this degree any time soon, outside of web dev. the chances of this strategy failing are still well above acceptable margins for most software, and in safety critical instances it will be decades before standards allow for such adoption. anyway we are paying pennies on the dollar for compute at the moment - as soon as the gravy train stops rolling, all this intelligence will be ou…

Even in webdev it rots your codebase unchecked. Although it's incredibly useful for generating UI components, which makes me a very happy webslopper indeed.

im grateful to have never bothered learning web dev properly, it was enlightening witnessing chat gpt transform my ten second ms paint job into a functional user interface

Re: Schedule tasks on the web

#64

Post by monkeydust »

I do feel people will end up using this for things where a deterministic rule could be used - more effective, faster and cheaper. See this starting to happen at work...'We need AI to solve X....no you don't"

Re: Schedule tasks on the web

#65

Post by worldsayshi »

scottmcdot wrote: post #58
simianwords wrote: post #50

I remember when I tried to set something up with the ChatGPT equivalent like "notify me only if there are traffic disruptions in my route every morning at 8am" and it would notify me every morning even if there was no disruption.

Me too. It doesn't have ability to alert only on true positive. I has to also alert on true negative. So dumb

This doesn't seem to hard to solve except for the ever so recurring llm output validation problem. If the true positive is rare you don't know if the earthquake alert system works until there's an earthquake.

Re: Schedule tasks on the web

#67

Post by TeMPOraL »

monkeydust wrote: post #64

I do feel people will end up using this for things where a deterministic rule could be used - more effective, faster and cheaper. See this starting to happen at work...'We need AI to solve X....no you don't"

Maybe. The problem of "execute task on a cron" is something I've noticed the industry seems to refuse to solve in general, as if intentionally denying this capability for regular people. Even without AI, it's the most basic block of automation, and is always mysteriously absent from programs and frameworks (at least at the basic level). AI only makes it more useful on "then" side, but reliable cron on "if" side is already useful.

Re: Schedule tasks on the web

#69

Post by comboy »

monkeydust wrote: post #64

I do feel people will end up using this for things where a deterministic rule could be used - more effective, faster and cheaper. See this starting to happen at work...'We need AI to solve X....no you don't"

People are loading huge interpreted environments for stuff that can be done from the command line. Run computations on complex objects where it could be a single machine instruction etc. The trend has been around for a long time.

Re: Schedule tasks on the web

#70

Post by heavyset_go »

thin_carapace wrote: post #61
heavyset_go wrote: post #54

Earlier quoted context omitted.

> as soon as the gravy train stops rolling, all this intelligence will be out of access for most humans. unless some more efficient generalizable architecture is identified. All Chinese labs have to do to tank the US economy is to release open-weight models that can run on relatively cheap hardware before AI companies see returns. Maybe that's why AI companies are looking to IPO so soon, gotta cash out and leave reta…

i was under the impression that we were approaching performance bottlenecks both with consumer GPU architecture and with this application of transformer architecture. if my impression is incorrect, then i agree it is feasible for china to tank the US economy that way (unless something else does it first)

I think it just needs to be efficient or small enough for companies to deploy their own models on their hardware or cloud, for more inference providers to come out of the woodwork and compete on price, and/or for optimized models to run locally for users.

Regarding the latter, smaller models are really good for what they are (free) now, they'll run on a laptop's iGPU with LPDDR5/DDR5, and NPUs are getting there.

Even models that can fit in unified 64GB+ memory between CPU & iGPU aren't bad. Offloading to a real GPU is faster, but with the iGPU route you can buy cheaper SODIMM memory in larger quantities, still use it as unified memory, eventually use it with NPUs, all without using too much power or buying cards with expensive GDDR.

Qwen-3.5 locally is "good enough" for more than I expected, if that trend continues, I can see small deployable models eventually being viable & worthy competition, or at least being good enough that companies can run their own instead of exfiltrating their trade secrets to the worst people on the planet in real-time.

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