Frédéric JacobsI really like this ad campaign in Paris.
“Another addiction is possible"
Less screens, more reading.
Davidson
@davidsonsr
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Aloha! Am I doing it right?
@sidereal @david_chisnall @EUCommission Companies have been successfully replacing human tasks with high value/low complexity AI queries for a long time, and as far as I know no studies specifically target these use cases rather rather than discussing the total energy impact of AI (around half of which is seemingly estimated to be coming from recreational use rather than productivity based on the limited data that's currently available and that's also not excluding wasteful commercial projects).
@violetmadder @david_chisnall @fuji @EUCommission
A programmer can instruct an AI to handle an unknown piece of information according to an instruction given in natural language, and the AI has the capacity to follow that instruction with a high level of accuracy. Introducing additional AI for reviewing can increase the accuracy further, often to the point where the error margin is negligible. This is being done across companies today, with tasks that were previously done by humans.
@barubary @david_chisnall @EUCommission
It's an established term: https://en.wikipedia.org/wiki/Reasoning_model
@barubary @david_chisnall @EUCommission
It's a colloquial term for products based on LLM/reasoning models.
@barubary @david_chisnall @EUCommission
No, I'm just trying to explain that AI is already successfully doing what people think it's incapable of doing, so that people can base their opinions on a correct understanding of what's happening.
@david_chisnall @barubary @EUCommission
As for salespeople relying on enriched data, it goes a long way when cold calling prospective customers. Not knowing anything about the company that you're calling vs. being presented with a fully-enriched dashboard containing everything from decision makers to company history does a lot for the success rate.
@david_chisnall @barubary @EUCommission
At this point you're talking about a margin of error that is comparable to just about anything else that is customer-facing in the organization.