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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.
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> 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.
There will be a whole industry of people who fix what AI has created. I don't know if it will be faster to build the wrong thing and pay to have it fixed or to build the right thing from the get go, but after having seen some shit, like you, I have a little idea.
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...
Sorry, but I think the original article is more insightful about the complexity and reality of making chips, which TSMC knows well, compared to moonshots by people who don't fully understand the intricacies of the semiconductors supply chain.
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George Zarkadaki: In Our Own Image (2015) describes six metaphors people have used to explain human intelligence in the last two millennia. At first it was the gods infusing us with spirit. After that it's always been engineering: after the first water clocks and the qanat hydraulics seemed a good explanation of everything. The flow of different fluids in the body, the "humors" explained physical and mental function.…
That's interesting, but technology has always been about augmenting or mimicking human intelligence, though. The Turing test is literally about computers being able to mimic humans so well that real humans wouldn't be able to tell them apart. We're now past that point in some areas, but we never really prioritized thinking about what intelligence _actually_ is, and how we can best reproduce it. At the end of the day,…
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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.
There's no accounting for taste, but keep in mind that all of these services are currently losing money, so how much would you actually be willing to pay for the service you're currently getting in order to let it break even? There was a report that Microsoft is losing $20 for every $10 spent on Copilot subscriptions, with heavy users costing them as much as $80 per month. Assuming you're one of those heavy users, wo…
What PG see in him as a teenager to proclaim he is 'Michael jordan of listening' or that he knew within 3 mins that sam is next bill gates. These are actual paul graham quotes not something from Silicon Valley TV show. Edit: to ppl responding "you should already know know paul graham is a grifter" . I don't believe is the case given his essays about meritocracy.
> Bankman-Fried's first pitch meeting with the VC firm's partners during its Series B round is also included in the profile, in which the founder laid out his vision to investors for FTX to become a super-app — all while he was playing the video game "League of Legends" on his computer.
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.
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.
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 been - Next bigger fool theory. That you pass on the potato to the next bigger fool till it ends to the last in the chain like Twitter who doesn't know what to do to churn out those inflated sums paid along the chain.
Not sure how many days OpenAI can afford to lose 10 million dollars daily but current macroeconomic environment, prospects aren't great.
Three things that get me about current AI discourse: - The public focus on AGI is almost a distraction. By the time we get to AGI highly-specialised models will have taken jobs from huge swaths of the population, SWE and CS are already in play. - That AI will need to carry out every task a role does to replace it. I see this a lot on HN. What if SWEs get 50% more efficient and they fire half? That's still a gigantic…
I agree on the first two points. On the third point, I think we've always seen this happen even in massive shocks like the Industrial Revolution (and the Second Industrial Revolution with assembly lines etc. and the Computer Age) It might be hard for people to retrain to whatever the new opportunities are though. Although perhaps somewhat easier nowadays with the internet etc.