Earlier quoted context omitted.
Either you care about being correct or you don't. If you don't care then it doesn't matter whether you made it up or the AI did. If you care then you'll fact check before publishing. I don't see why this changes.
When things are easy, you’re going to take the easy path even if it means quality goes down. It’s about trade offs. If you had to do it yourself, perhaps quality would have been higher because you had no other choice. Lots of kids don’t want to do homework. That said, previously many would because there wasn’t another choice. But now they can just ask ChatGPT for the answers they’ll write that down verbatim with zero…
Introducing deep research
251–260 of 445 posts
Re: Introducing deep research
#252This is terrifying. Even though they acknowledge the issues with hallucinations/errors, that is going to be completely overlooked by everyone using this, and then injecting the outputs into their own powerpoints. Management Consulting was bad enough before the ability to mass produce these graphs and stats on a whim. At least there was some understanding behind the scenes of where the numbers came from, and sources w…
Re: Introducing deep research
#253I think we're all reaching AI fatigue. Fewer and fewer people care anymore
Re: Introducing deep research
#254Eating popcorn while the scaling doubters scramble to move the goalposts for the nth time.
Re: Introducing deep research
#255Earlier quoted context omitted.
Because maybe you want to, but you have a boss breathing down your neck and KPIs to meet and you haven't slept properly in days and just need a win, so you get the AI to put together some impressive looking graphs and stats that will look impressive in that client showcase thats due in a few hours. Things aren't quite so black and white in reality.
I mean those same conditions already just lead the human to cutting corners and making stuff up themselves. You're describing the problem where bad incentives/conditions lead to sloppy work, that happens with or without AI Catching errors/validating work is obviously a different process when they're coming from an AI vs a human, but I don't see how it's fundamentally that different here. If the outputs are heavily ci…
Same problem I have with code models, honestly. We already have way too much boilerplate and bad code; machines to generate more boilerplate and bad code aren't going to help.
Re: Introducing deep research
#256Earlier quoted context omitted.
I mean those same conditions already just lead the human to cutting corners and making stuff up themselves. You're describing the problem where bad incentives/conditions lead to sloppy work, that happens with or without AI Catching errors/validating work is obviously a different process when they're coming from an AI vs a human, but I don't see how it's fundamentally that different here. If the outputs are heavily ci…
Making it easier and cheaper to cut corners and make stuff up will result in more cut corners and more made up stuff. That's not good. Same problem I have with code models, honestly. We already have way too much boilerplate and bad code; machines to generate more boilerplate and bad code aren't going to help.
Re: Introducing deep research
#257Earlier quoted context omitted.
It was expensive as they wanted to charge more for it but deepseek has forced their hand
They’ve only released o3-mini, which is a powerful model but not the full o3 that is being claimed as too expensive to release. That being said, DeepSeek for sure forced their hand to release o3-mini to the public.
Re: Introducing deep research
#258Gemini has had this for a month or two, also named "Deep Research" https://blog.google/products/gemini/google-gemini-deep-resea... Meta question: what's with all of the naming overlap in the AI world? Triton (Nvidia, OpenAI) and Gro{k,q} (X.ai, groq, OpenAI) all come to mind
It's a sort of unofficial trade association where they coalesce on specific redefinitions of terms to meet their sales and PR efforts. First they came for "intelligence," then "open source," then "reason," and it will continue. Any word which the PR wants but they can't achieve gets redefined -- "grok" is a perfect example, since in the original sci-fi book it meant "total understanding." The mythological Triton rule…
Now with LLMs it is what human evaluators feel about the LLM output?
Re: Introducing deep research
#259Earlier quoted context omitted.
Deepseek proved that there is no moat. Thus no path to profitability for openai, anthropic & co. Stealing from thieves is fine by me. Sama was the one claiming that all information could be used to train LLMs, without permisdion of the copyright holders. Now the same is being done to openai. Well, too bad.
> Stealing from thieves is fine by me. Sama was the one claiming that all information could be used to train LLMs, without permisdion of the copyright holders. OpenAI and other LLMs scraping the internet is probably covered under fair use. DeepSeek’s violation of OpenAI’s terms is pretty clearly a violation of their terms and not legal.
Here is a new thing you learn today, ToS are not laws, you can ignore any ToS and at worst the company might close your account.
Re: Introducing deep research
#260There are some people in the blogosphere who are known experts in their niche or even niche-famous because they write popular useful stuff. And there are a ton more people who write useful stuff because they want that 'exposure.' At least, they do in the very broadest sense of writing it for another human to read it. I wonder if these people will keep writing when their readership is all bots. Dead internet here we c…