121–130 of 445 posts
Earlier quoted context omitted.
This is one of the actual questions: > In Greek mythology, who was Jason's maternal great-grandfather? https://www.google.com/search?q=In+Greek+mythology%2C+who+wa...
This is a hard question for language models since it targets one of their known weaknesses.
If I understood the graphs correctly, it only achieves 20% pass rate on their internal tests. So I have to wait 30min and pay a lot of money just to sift through walls of most likely incorrect text? Unless the possibility of hallucinations is negligible, this is just way too much content to review at once. The process probably needs to be a lot more iterative.
The set of natural transformations between two functors F,G :C→DF,G:C→D can be expressed as the end Nat(F,G)≅∫AHomD(F(A),G(A)). Nat(F,G)≅∫A HomD (F(A),G(A)).
Define set of natural cotransformations from FF to GG to be the coend CoNat(F,G)≅∫AHomD(F(A),G(A)). CoNat(F,G)≅∫AHomD (F(A),G(A)).
Let: - F=B∙(Σ4)∗/F=B∙ (Σ4 )∗/ be the under ∞∞-category of the nerve of the delooping of the symmetric group Σ4Σ4 on 4 letters under the unique 00-simplex ∗∗ of B∙Σ4B∙ Σ4 . - G=B∙(Σ7)∗/G=B∙ (Σ7 )∗/ be the under ∞∞-category nerve of the delooping of the symmetric group Σ7Σ7 on 7 letters under the unique 00-simplex ∗∗ of B∙Σ7B∙ Σ7 .
How many natural cotransformations are there between FF and GG?
Earlier quoted context omitted.
This is one of the actual questions: > In Greek mythology, who was Jason's maternal great-grandfather? https://www.google.com/search?q=In+Greek+mythology%2C+who+wa...
This is a hard question for language models since it targets one of their known weaknesses.
The accuracy of this tool does not matter. This is exclusively designed for box ticking "reports" that nobody reads and a produced for the sake of itself.
This 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…
Think of it like a vaccine. The majority of human written consultant reports are already complete rubbish. Low accuracy, low signal-to-noise, generic platitudes in a quantity-over-quality format. LLMs are innoculating people to this kind of low information value content. People who produce LLM quality output, are now being accused of using LLMs, and can no longer pretend to be adding value. The result of this is goin…
Surprised more comments aren't mentioning deepseek has this feature (for free) already. Assuming this is why OpenAI scrambled to release it. The examples they have on the page work well on chat.deepseek.com with r1 and search options both enabled. Do I blindly trust the accuracy of either though? Absolutely not. I'm pretty concerned about these models falling into gaming SEO and finding inaccurate facts and presentin…
The accuracy of this tool does not matter. This is exclusively designed for box ticking "reports" that nobody reads and a produced for the sake of itself.
99% of corpo upper management slide deck work. ai only makes more of this useless pencil-neck board of directors slop.
So much cynicism and hate in these comments, especially as we are likely witnessing AGI come to life. Its still early, but it might be coming. Where is the excitement? This is an interesting time to be alive. HN has a huge cultural problem that makes this website almost irrelevant. All the interesting takes have moved to X/twitter
Maybe you can define what "AGI" really means and what the end-game and the economic implications are when 'AGI" is some-what achieved? OpenAI somehow believes that they haven't achieved "AGI" yet, which they continue to do this on purpose for obvious reasons.
The first hint I will give you is that it certainly won't be a utopia.
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Do you have any benchmarks to back up your 'feelings'?
I really don't like the snarky tone of the parent comment. Nonetheless, I don't think this is even something that can easily be benchmarked. I'd recommend you take a look at aider [1], and consider how I drew similarities between it and what's presented here. Has ClosedAI presented any benchmarks / evaluation protocols? [1] https://aider.chat/