61–70 of 581 posts
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I'm confident you have not used Cursor Composer + Claude 3.5 Sonnet. I'd say the level of bugs is no higher than that of a typical engineer - maybe even lower.
There's no LLM for which that is true or we'd all be fired.
Might as well share the original NYT article, since this one is a poor summary of that one - https://web.archive.org/web/20240926063521/https://www.nytim...
The current AI hype wave has really hit a nerd soft spot - that we're steps away from AGI. Surely if a computer can make plausible-looking but incorrect sentences we're days away from those sentences being factually accurate! The winter after this is gonna be harsh.
Our everyday lives should make it evident how much the working of our brain doesn't resemble that of our computers. Our experiences change our brains somehow but exactly how we don't have the faintest idea about and we can re-live these experiences somewhat which creates a memory but the mechanism is by no means perfect. There's the Mandela Effect https://pubmed.ncbi.nlm.nih.gov/36219739/ and of course "tip of my tongue" where we almost remember a word and then perhaps minutes or hours later it just bursts into our consciousness. If it's a computer why is learning so hard? Read something and bam, it's written in your memory, right? Right? Instead, there's something incredibly complex going on, in 2016 an fMRI study was made among the survivors of a plane crash and large swaths of the brain lit up upon recall. https://pubmed.ncbi.nlm.nih.gov/27158567/ Our current best guess is somehow its the connections among neurons which change and some of these connections together form a memory. There are 100 trillion connections in there so we certainly have our task cut.
And so we are here where people believe they can copy human intelligence when they do not even know what they are trying to copy falling for the latest metaphor of the workings of the human brain believing it to be more than a metaphor.
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If it was, companies like Microsoft and Apple would have acquired them a long time ago. The fact they decided to have a partnership means they have reason to believe the hype isn't real beyond what we already know today and they don't want to have to explain it to shareholders in the near future.
Doesn't Microsoft have a decent amount of ownership in some aspect of OpenAI's labyrinthine structure? Take Anthropic for a more legible example: Amazon and Google both gladly bought large stakes in it.
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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…
> 20 year software engineering career is about to change I have also been developing for 20+ years. And have heard the exact same thing about IDEs, Search Engines, Stack Overflow, Github etc. But in my experience at least how fast I code has never been the limiting factor in my project's success. So LLMs are nice and all but isn't going to change the industry all that much.
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I'm confident you have not used Cursor Composer + Claude 3.5 Sonnet. I'd say the level of bugs is no higher than that of a typical engineer - maybe even lower.
There's no LLM for which that is true or we'd all be fired.
Earlier quoted context omitted.
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…
I really believe that the front-end part can be mostly automated (the html/CSS at least), copilot is close imho (microsoft+github, I used both), but really they're useless to do anything else complex without making to much calls, proposing bad data structures, using bad /old code design.
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If it was, companies like Microsoft and Apple would have acquired them a long time ago. The fact they decided to have a partnership means they have reason to believe the hype isn't real beyond what we already know today and they don't want to have to explain it to shareholders in the near future.
They haven't acquired because Open AI is not for sale.
Rare exceptions are old companies where the founder is still around and rejects deal after deal on pride. OpenAI is nothing like that, as the profit/non-profit drama exemplifies.
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> The costs will go down over time, much of the cost is the margin of NVIDIA and training new models Isn't each new model bigger and heavier and thus requries more compute to train?
Yes, but 1) you only need to train the model once and the inference is way cheaper. Train one great model (i.e. Claude 3.5) and you can get much more than $80/month worth out of it. 2) the hardware is getting much better and prices will fall drastically once there is a bit of a saturation of the market or another company starts putting out hardware that can compete with NVIDIA
Until the competition outcompetes you with their new model and you have to train a new superior one, because you have no moat. Which happens what, around every month or two?
> the hardware is getting much better and prices will fall drastically once there is a bit of a saturation of the market or another company starts putting out hardware that can compete with NVIDIA
Where is the hardware that can compete with NVIDIA going to come from? And if they don't have competition, which they don't, why would they bring down prices?