271–280 of 701 posts
Earlier quoted context omitted.
How/where were you notified that you got it?
I wasn't. I saw this post on HN, opened a new tab for ChatGPT, and saw that I had access to the model. I assume it's rolling out incrementally over a few hours to all paid users.
You don't get the new experience until you give it a prompt though, which is kinda weird.
Earlier quoted context omitted.
I am trying to convince myself that I am not insane and everyone else is. The platform was literally down for me for a good 12 hours or so because they had an auth problem or bug. Their interface is subpar yet they are trying to convince people that this is replacing knowledge worker any minute now. I recommended to a friend that he uses chatGPT to write some English content and it did a bad job. I checked bolt yeste…
I'm with you. I feel like I'm losing my mind. Everyone around me is talking about the looming AGI, death of the knowledge worker and how "everything" has changed. But every time I try to use these text generators I get nothing useful from them. It's like the whole world has bought into a mass hallucination.
If you accept that we live in a world where blind lead the blind, it's less surprising.
Mixed feelings about this: clearly this is meant to match one of the killer features of Claude. I like using Claude, and I'm also a big supporter of Anthropic - not just because it's an underdog, but due to its responsible and ethical corporate governance model[1], which stands in stark contrast to OpenAI. It's worrying to see ChatGPT close one of the gaps between it and Claude. [1] https://www.anthropic.com/news/the…
I have some bad experience about it. Asked it to help generate python code to make a vpn server with extra layers, but it refused. What in the dictatorship is this? ChatGPT on the other hand did it with no problems. Seems like Claude has a lot more censorship and restrictions for what I tested it.
After a year of heavy LLM use I’ve found the utility limits, my usage has peaked, and I’m developing very restrictive use cases.
Beyond functioning as an interactive O’Reilly manual, LLM only save time if you never read the code they produce. Which is a short term win, but things will blow up eventually, as with all code, and now you’ve got a bigger problem than you started with.
Earlier quoted context omitted.
I thought the same thing: the “blog post” in the example image is an example of the absolute trash that’s being spewed onto the internet by these tools. 10+ sentences and yet somehow nothing actually said.
Well, the UI has slider for length, so there is that.
Earlier quoted context omitted.
> wonder how Paul Graham thinks of Sam Altman basically copying Cursor If OpenAI can copy Cursor, so can everyone else.
And everyone has, YC alone has funded at least four Cursor clones, Double, Void, Continue and Pear, with Pear being a literal fork of Continue's OSS code. AFAICT Cursor isn't even the original, I think Copilot X was the first of its kind and Cursor cloned that.
Earlier quoted context omitted.
In your landing page it says about competitors > They're not wasting hours trying to "figure out" a solution I am pretty sure that we don't have AGI that would figure our solutions to our problems (coding or not) on its own yet. And from experience, you would need to solve the problems at least conceptually before using LLM and try to get something useful out of that.
Depends on scope, but Parrot is tuned to decently one-shot a lot of stuff. For example, I need to implement HTTP/2 in my JS framework and was curious about what the code would look like. Here's the result from the following prompt: https://www.imghippo.com/i/xR2Zk1727987897.png (full code it gave me here: https://gist.github.com/rglover/069bdaea91c629e95957610b484e... ). Prompt: > Help me implement an HTTP/2 enabled…
Hint: I am not sure whether this is a good solution or not. As I said I am not a nodeJS developer.
[1] https://stackoverflow.com/questions/59534717/how-to-integrat...
This is cool, but I wish it were integrated into tools already used for coding and writing rather than having it be a separate app. This also demonstrates the type of things Google could do with Gemini integrated into Google Docs if they step up their game a bit. Honestly I’m scratching my head on OpenAI’s desire to double down on building out their consumer B2C use cases rather than truly focussing on being the infr…
Their API is unusable due to rate limits. Myself and my wife have both had ideas, started using it, and found other approaches after hitting rate limits. I tried funding more money in the account to increase the rate limits and it did not work. I imagine they see poor growth there because of this.
You only need 45 days to get tier 5 and if you have that many customers after 45 days you should just apply to YC lol.
Maybe you checked over a year ago, which was the wild wild West at the time, they didn't even have the tier limits.
Mixed feelings about this: clearly this is meant to match one of the killer features of Claude. I like using Claude, and I'm also a big supporter of Anthropic - not just because it's an underdog, but due to its responsible and ethical corporate governance model[1], which stands in stark contrast to OpenAI. It's worrying to see ChatGPT close one of the gaps between it and Claude. [1] https://www.anthropic.com/news/the…
Canvas is closer to Cursor ( https://www.cursor.com ) than Claude. I wonder how Paul Graham thinks of Sam Altman basically copying Cursor and potentially every upstream AI company out of YC, maybe as soon as they launch on demo day. Is it a retribution arc?
Met a guy who got brought in by Amazon after they hit 8 figures in sales, wined and dined, then months later Amazon launched competing product and locked them out of their accounts, cost them 9 figures.
Earlier quoted context omitted.
This is an odd comment, because you mention Claude and Google, both of which already have similar/adjacent features. For a while. OpenAI is actually defensive/behind. 1. Claude has “artifacts” which are documents or interactive widgets that live next to a chat. 2. Claude also has the ability to run code and animated stuff in Artifacts already. It runs in a browser sandbox locally too. 3. Gemini/Google has a ton of fe…
I mean the following: `use matplotlib to generate an image with 3 bars of values 3, 6, 1` followed by `execute it` https://chatgpt.com/share/66fefc66-13d8-800e-8428-815d9a07ae... (apparently the shared link does not show the executed content, which was an image) https://imgur.com/a/PkJCnKO Which has interesting consequences, because I saw it self-execute code it generated for me and fix the errors contained in that c…
https://support.google.com/gemini/answer/13275745?hl=en&co=G...
https://support.anthropic.com/en/articles/9487310-what-are-a...
Gemini takeout is under “MyActivity”
Earlier quoted context omitted.
It depends on who the moat is supposed to keep out. A reasonable case from an antitrust regulator would be that if a provider of models/apis gleans the prompts from the users of the apis to build competing products... they are in trouble. Good prompts may actually have a moat - a complex agent system is basically just a lot of prompts and infra to co-ordinate the outputs/inputs.
> Good prompts may actually have a moat - a complex agent system is basically just a lot of prompts. The second part of that statement (is wrong and) negates the first. Prompts aren’t a science. There’s no rationale behind them. They’re tricks and quirks that people find in current models to increase some success metric those people came up with. They may not work from one model to the next. They don’t vary that much…
If one spends a lot of time building an application to achieve an actual goal they'll realize the prompts make a gigantic difference and it takes an enormous amount of fiddly, annoying work to improve. I do this (and I built an agent system, which was more straightforward to do...) in financial markets. It so much so that people build systems just to be able to iterate on prompts (https://www.promptlayer.com/).
I may be wrong - but I'll speculate you work on infra and have never had to build a (real) application that is trying to achieve a business outcome. I expect if you did, you'd know how much (non sexy) work is involved on prompting that is hard to replicate.
Hell, papers get published that are just about prompting!
https://arxiv.org/abs/2201.11903
This line of thought effectively led to Gpt-4-o1. Good prompts -> good output -> good training data -> good model.