371–380 of 383 posts
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Most. Most normal people. Sure I know people who pay for it too; but I know a lot of people who like free things and don’t or can’t pay for subscriptions. Do you think most people have a spare $30 to spend every month on something they already get for free? At the moment? I don’t.
The parent did not say "most normal people".
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or simply one of the best corporate buyouts that's not subject to regulatory scrutiny. microsoft owns 49% of OpenAI - will get profits till whenever. All without subject to regulatory approval. and they get to improve Azure
A caveat -- FTC is currently looking into the deal between Microsoft and OpenAI.
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or that 'AI is going to solve all of physics' or that 'AI is going to clone his brain by 2027' . PG famously called him 'Michael jordan of listening' , i would say he is 'Michael jordan of bullshitting'
Unfortunately, that position is already held by Musk.
As someone who doesn't really follow the LLM space closely, I have been consistently turning to Anthropic when I want to use an LLM (usually to work through coding problems) Beside Sonnet impressing me, I like Anthropic because there's less of an "icky" factor compared to OpenAI or even Google. I don't know how much better Anthropic actually is, but I don't think I'm the only one who chooses based on my perception of…
Funny, I use Mistral because it has 'more" of that same factor, even in the name! They're the only company who doesn't lobotomize/censor their model in the RLHF/DPO/related phase. It's telling that they, along with huggingface, are from le france - a place with a notably less puritanical culture.
The status pages of OpenAI and Anthropic are in stark contrast and that mirrors my experience. Love Anthropic for code and its Projects feature, but OpenAI is still way ahead on voice and reliability.
Anthropic status page: https://status.anthropic.com/
(Yes, there is a rather stark difference in number of recent incidents.)
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So, I have a custom prompt I use with GPT that I found here a year or so ago. One of the custom prompt instructions was something along the lines of being more direct when it does not know something. Since then, I have not had that problem, and have even managed to get just "no" or "I don't know" as an answer.
Could you maybe post it here? I think many of us would find it useful to try.
See the top comment in this thread for the custom instructions I use.
https://news.ycombinator.com/item?id=38390182
Also, #13 is my favorite of the instructions. Sometimes the questions that GPT suggests are surprisingly insightful. My custom prompt basically has an on/off option for it though like:
> If my request ends with $q then at the end of your response, provide three follow-up questions worded as if I'm asking you. Format in bold as Q1, Q2, and Q3. Place two line breaks ("\n") after each question for spacing unless I've uploaded a photo.
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I alluded to this in another comment, but I have 4o to be better than Sonnet in Swift, Obj-C, and Applescript. In my experiences, Claude is worse than useless with those three languages when compared to GPT. Everything else, I'd say the differences haven't been too extreme. Though, o1-preview absolutely smokes both in my experiences too, but it isn't hard for me to hit it's rate limit either.
Interesting. I haven't compared with 4o or GPT4, but I found DeepSeek 2.5 seems to be better than Claude 3.5 Sonnet (new) at Julia. Although I've seen both Claude and DeepSeek make the exact same sequence of errors (when asked about a certain bug and then given the same reply to their identical mistakes) that shows they don't fully understand the syntax for passing keyword arguments to Julia functions ... wow. It was…
However, I found that GPT was better able to correct its mistakes while Claude essentially just doubles down and keeps regurgitating permutations of the same mistakes.
I can't tell you how many times I have had Claude spit out something like, "Use the Foobar.ToString() method to convert the value to a string." To which I reply, something like, "Foobar does not have a method 'ToString()'."
Then Claude will say something like, "You are right to point out that Foobar does not have a .ToString method! Try Foobar.ConvertToString()"
At that point, my frustration levels start to rapidly increase. Have you had experiences like that with Claude or DeepSeek? The main difference with GPT is that GPT tends to find me the right answer after a bit of back-and-forth (or at least point me in a better direction).
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Personally, I find companies with names like "Anthropic" to be inherently icky too. Anthropic means "human," and if a company must remind me it is made of/by/for humans, it always feels less so. E.g. The Browser Company of New York is a group of friendly humans... Second, generative AI is machine generated; if there's any "making" of the training content, Anthropic didn't do it. Kind of like how OpenAI isn't open, th…
> Anthropic means "human," and if a company must remind me it is made of/by/for humans Why do you think that that's their intended reading? I had assumed the name was implying "we're going to be an AGI company eventually; we want to make AI that acts like a human ." > if there's any "making" of the training content, Anthropic didn't do it This is incorrect. First-gen LLM base models were made largely of raw Internet…
I acknowledge and appreciate Anthropic's addition to the corpus of scraped data, but that data (both input and output) is still ultimately from others; if it did not exist, there would be no product. This is very different from a video editing tool, which I purchase or lease with the understanding that I will provide my own content, or maybe use licensed footage for B-roll
I often hear people praise Claude as being better than chatGPT, but I’ve given both a shot and much prefer chatGPT. Is there something I’m missing here? I use chatGPT for a variety of things but mainly coding and I feel subjectively that chatGPT is still better for the job.
What languages do you use?
Why do you ask?