3 ms·
The new CEO mantra...nobody got fired for pivoting to AI.
by pupppet 3y ago
The new CEO mantra...nobody got fired for pivoting to AI.
- jsheard 3y agoNot yet, at least.
- chasd00 3y agoI was on a call this morning where a team had decided to break it to their leadership that genai was not the answer they thought it was going to be. I bet there's going to be a lot of that this year.
- __loam 3y agoThis is what is so frustrating about this technology. Everyone seems completely convinced this is going to be bigger than sliced bread but a year later, I haven't seen a truly good killer app. A year ago we had chatgpt, co-pilot, mid journey, and stable diffusion, and today we have basically the some products. I've seen a lot of bad code, a lot of boring prose, and a lot of bad art. Meanwhile there's people breathlessly telling us we'll get agi in 5 years.
- sjwhevvvvvsj 3y agoThe loudest people have the least to say, but I think there’s a lot of smart use cases beyond variation on chat bots.
- wkat4242 3y agoThat certainly wasn't Microsoft, they're still full on the "CoPilot" hype train, launching a confusing spectrum of different services all under the same name and all before they're actually ready
- mr_toad 3y ago> launching a confusing spectrum of different services all under the same name .net all over again.
- wkat4242 3y agoYes indeed! Microsoft is so incredibly bad at marketing. And really not great at products too. People don't pick them because they're the best at what they do, but because they're what everyone else uses and they're acceptable. The whole reason for Teams being adopted so heavily is because it comes with office and it's not bad enough to justify paying for something better. But when having used other products that were actually leading in their class, it's sometimes sad being stuck with it. In this light I do understand their rush to capture the AI market, being first is just how they work.
- DanHulton 3y agoThis assumes they'll ever actually be ready. I'm pretty sure at this point the "reliability problem" is just not solvable.
- chasd00 3y agoyou're comment is old but what is the reliability problem? If it's the fact that you can't guarantee the same output for a given input then I agree. There are patterns out there where you prompt an llm with a list of functions, their description, and parameters and then ask it to chose one and the params. Then based on the response you call that function and return the results back to the llm to be used as part of the final response to the user's prompt. If you can't guarantee the output of the llm how can you ever expect this to always work the same? How can you even test it? It may test out ok 99 times but on test #100 it fails. Any hallucination breaks it or, even worse, produces a confident sounding wrong output. Is that the reliability problem you're talking about?
- breather 3y agoSqueezing it in before the mass-firings of CEOs who tried pivoting to "AI" with no sense of what value this might actually provide anyone