311–320 of 581 posts
I'm absolutely flabbergasted how much money and political capital is spent on vaporware, while there are very concrete and very impactful challenges we could be addressing instead.
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Using Claude 3.5 Sonnet in Cursor Composer already shows huge benefits for coding. I'm more productive than ever before. The models are still getting better and better. I'm not saying AGI is right around the corner or that we will reach it, but the benefits are undeniable. o1 added test-time compute. No need to be snarky.
OP could have been more substantive, but there is no contradiction between "current AI tools are sincerely useful" and "overinflated claims about the supposed intelligence of these tools will lead to an AI winter." I am quite confident both are true about LLMs. I use Scheme a lot, but the 1970s MIT AI folks' contention that LISPs encapsulate the core of human symbolic reasoning is clearly ridiculous to 2020s readers:…
But at the same time there is a lot of value to capture here by building solid applications around the capabilities that already exist. It might be a winter more like the "winter" image recognition went through before multimodal LLMs than the previous AI winter
The analogy to electricity doesn’t make sense to me. OpenAI’s and their competitors’ products are already widely available, companies have added to AI to a bunch of apps, and the cost per token has already come down significantly. (Edit: not to mention openly licensed models.) I also don’t see think it’s historically accurate. My understanding was that widespread electrification were motivated by lighting, the radio,…
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I would pay hundreds of dollars per month for the combination of cursor and claude - I could not get my head around it when my beginner lever colleague said "I just coded this whole thing using cursor". It was an entire web app, with search filters, tree based drag and drop GUIs, the backend api server, database migrations, auth and everything else. Not once did he need to ask me a question. When I asked him "how lon…
yes, but does your colleague even fully understand what was generated? Does he have a good mental map of the organization of the project? I have a good mental map of the projects I work on because I wrote them myself. When new business problems emerge, I can picture how to solve them using the different components of those applications. If I hadn't actually written the application myself, that expertise would not exi…
Isn’t that the point? Degrade the user long enough that the competing user is on-par or below the competence of the tool so that you now have an indispensable product and justification of its cost and existence.
P.S. This is what I understood from a lot of AI saints in news who are too busy parroting productivity gains without citing other consequences, such as loss of understanding of the task or expertise to fact-check.
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yes, but does your colleague even fully understand what was generated? Does he have a good mental map of the organization of the project? I have a good mental map of the projects I work on because I wrote them myself. When new business problems emerge, I can picture how to solve them using the different components of those applications. If I hadn't actually written the application myself, that expertise would not exi…
Me too, but a more optimistic view is that this is just a nascent form of higher-level programming languages. Gray-beards may bemoan that us "young" developers (born after 1970) can't write machine code from memory, but it's hardly a practical issue anymore. Analogously, I imagine future software dev to consist mostly of writing specs in natural language.
I like this take. I feel like a significant portion of building out a web app (to give an example) is boilerplate. One benefit of (e.g., younger) developers using AI to mock out web apps might be to figure out how to get past that boilerplate to something more concise and productive, which is not necessarily an easy thing to get right.
In other words, perhaps the new AI tools will facilitate an understanding of what can safely be generalized from 30 years of actual code.
7 trillion is absurd. The recent advancements in AI are real, but not on the order of 7T.
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I have yet to watch people be THAT more productive using, say, Copilot. Outside of some annoying boilerplate that I did not have to write myself, I don't know what kind of code you are writing that makes it all so much easier. This gets worse if you are using less trendy languages. No offense, but I have only seen people who barely coded before describe being "very productive" with AI. And, sure, if you dabble, these…
I tried many times. Things that AI is good at: - Generate boilerplate - Generate extremely simple code patterns. You need a simple CRUD API? Yeah, it can do it. - Generate solutions for established algorithms. Think of solutions for leetcode exercises. So yeah, if that's your job as a developer, that was a massive productivity boost. Playing with anything beyond that and I got varying degrees of failure. Some of whic…
- Generate boilerplate : Snippets, templates, and code generators
- Generate extremely simple code patterns : Frameworks
- Generate solutions for established algorithms : Libraries.
> OpenAI’s business model, as it exists today, doesn’t really inspire confidence, as it seems to exist on the promise of ‘jam tomorrow.’ Specifically, the firm has an income of approximately $3 billion per year, which is put in deep shade by its $7 billion annual expenditure. So a yearly loss of 4 billion dollars or losing $10 million daily. The IPOs basically (mostly) have been operating just the way Bitcoin has bee…
Amazon was not profitable for many years, yet they are one of the most valuable companies in the world. Why? Because they kept growing. What OpenAI is doing is "sustainable" if they keep growing like that. From summer 2023 to summer 2024 they 6x their revenue to 3.4B USD. If they 4x next year and 3x the year after, they would make 40B in revenue.
So many weird things going on with this. a) Given how geopolitical semiconductors and AI are right now. Why he is running around the world running his mouth seemingly without the cooperation of the US government. b) What does Microsoft have to say about OpenAI building a parallel cloud. c) OpenAI has zero competence in designing and building their own end to end stack but yet they are going to jump straight to $7T wo…
As an American citizen you don't need to cooperate with the US government to talk to other people.
Grifters gonna grift- My nerd hype died as I used gpt4+ and Claude 3.5+ whatever for coding tasks and realized if a human somewhere in the training data hadn't already solved a programming problem/wrote code for a solution the LLM's are useless for said problem. They're useful as an assistant/junior coder to do repetitive tasks/things you/other humans already have already done tho. BUT that's not going to revolutioni…
See my experience is the opposite, and gpt3 was able to answer questions about the niche Haskell library I wrote better than I was. Unless you posit that there's some secret cabal of people using this Haskell library and writing answers for GPT to consume somewhere in the depths of OpenAIs org structure, it's pretty obvious to me that LLMs are quite capable.