Earlier quoted context omitted.
Maybe I am, but I'm getting pretty rich doing it, so there is that. :)
"I'm getting paid so I don't really care" is the most destructive instance a human can take. Why do you think we're about to disrupt the Holocene climate optimum that gave birth to modern civilization?
TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'
521–530 of 581 posts
Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'
#522Earlier quoted context omitted.
Current LLMs fail if what you're coding is not the most common of tasks. And a simple web app is about as basic as it gets. I've tried using LLMs for some libraries I'm working on, and they failed miserably. Trying to make an LLM implement a trait with a generic type in Rust is a game of luck with very poor chances. I'm sure LLMs can massively speed up tasks like front-end JavaScript development, simple Python script…
So you are basically saying "it failed on some of my Rust tasks, and those other languages aren't even real programming languages, so it's useless". I've used LLMs to generate quite a lot of Rust code. It can definitely run into issues sometimes. But it's not really about complexity determining whether it will succeed or not. It's the stability of features or lack thereof and the number of examples in the training da…
What I meant by complexity is not "a task that's difficult for a human to solve" but rather "a task for which the output can't be 90% copied from the training data".
Since frontend development, small scripts and SQL queries tend to be very repetitive, LLMs are useful in these environments.
As other comments in this thread suggested: If you're reinventing the wheel (but this time the wheel is yellow instead of blue), the LLM can help you get there much faster.
But if you're working with something which hasn't been done many times before, LLMs start struggling. A lot.
This doesn't mean LLMs aren't useful. (And I never suggested that.) The most common tasks are, per definition, the most common tasks. Therefore LLMs can help in many areas, and are helpful to a lot of people.
But LLMs are very specialized in that regard, and once you work on a task that doesn't fit this specialization, their usefulness drops, down to being useless.
Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'
#523Earlier quoted context omitted.
Again: I’m only made redundant if there is no more work that my employer needs me to do. Why should I be scared of technology that makes me more productive?
Why would there be more work left for you to do if AI can do it in seconds? Ai is trending towards a point where it makes your employers productive such that they don’t need you.
Yet people are still employed today. They are doing the many new jobs that the productivity boost of digital computing created.
Productivity creates jobs.
Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'
#524Earlier quoted context omitted.
This assumes that the bottleneck to profitability is the limit of software engineers they can afford to hire. If they’re happy with current rate of progress (and in many companies that is the case), then a productivity increase of 100% means they need half the current number of engineers.
what company have you ever worked for that was happy with the current rate of progress in software development?
And the “current rate” is competitively defined. So if AI can make software developers twice as productive, then the acceptable minimum “current rate” will become 2x faster than it is today.
Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'
#525Earlier quoted context omitted.
Input and output, given that they must connect with the physical world, seems to me to be the likely limiting resource, unless you think isolated virtual worlds will have value on to themselves
An AGI can presumably control a robot at least as well as a human operator can. The hardware side of robotics is already good enough that we could leverage this to rapidly increase industrial output. Including, of course, producing more AGI-controlled robots. So it may well be the case that robot production, rather than chip production, becomes the bottleneck on output growth, but such growth will still be extremely…
Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'
#526It is clear to me that Sam has never set foot inside of a semiconductor manufacturing facility. Or, if he did he definitely wasn't paying attention to what was going on around him. I don't know how you could witness these things and then make glib statements about building 36 of them. It will likely take well over a decade to recoup investment on any new chip fab at this point. Chasing ~4 customers on one narrow use…
Facilities aside, I hear talent is a massive bottleneck. Especially in the US.
It's really hard to keep good employees working at these places for a long duration. Innovation is something your customers do. Your job is to make it as boring as fucking possible.
I could only stand it for 3 years before I had to quit (Samsung). I know others who still enjoy the experience though.
Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'
#527Earlier quoted context omitted.
Right from Wiki my friend Lunar Lake is the codename for Core Ultra Series 2 mobile processors designed by Intel, released on September 24, 2024. Manufactured by: TSMC https://en.m.wikipedia.org/wiki/Lunar_Lake It's September 27 round abouts here so I'm not sure it gets more recent than that.
1) Funny how you didn't address my first point which completely disproves your lie about Intel sending CHIPS money to TSMC. 2) It does get more recent than that: Granite Rapids (Xeon 6 built fully on Intel processes) and Gaudi 3 (TSMC built) were announced on the 24th and will be released later this year. Maybe you shouldn't get so sassy when discussing things you know very little about.
> ...and will be released later this year
You answered your own question; it's not a product on the market and therefore not released yet. > ...which completely disproves your lie about Intel sending CHIPS money to TSMC
I mean, this is kinda silly right? If I get a $48,000 a year housing stipend that I can only spend on housing, that means I have $48,000 more to spend elsewhere.Also, you're arguing a strawman here. What I wrote:
> US is already throwing CHIPS dollars at Intel
Which they are.Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'
#528Remember when the Russians mocked Elon Musk for his rocket purchase? Remember when Blockbuster mocked Netflix? Remember when Steve Ballmer mocked the iPhone? Remember when Zuck was mocked for the Metaverse? I'm pretty sure Sam would have heard similar mockings like "You can't take on Google behemoth, podcaster bro" before. But the sad part is, the newer tech generation is so brainwashed that it takes the side of the…
> Remember when Zuck was mocked for the Metaverse? One of these things is not like the others. You listed 3 things proven silly with hindsight, then you post one comment that is mere hopeful wishing.
Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'
#529Earlier quoted context omitted.
Why would there be more work left for you to do if AI can do it in seconds? Ai is trending towards a point where it makes your employers productive such that they don’t need you.
A computer already does in seconds what it used to take many people to do. In fact the word “computer” was a job title; now it describes the machine that replaced those jobs. Yet people are still employed today. They are doing the many new jobs that the productivity boost of digital computing created. Productivity creates jobs.
The computer created jobs because it takes human skills to talk to the computer.
It takes very little skill to talk to an LLM. Why would your manager ask you to prompt an LLM to do something for you when he can do it himself? You going to answer this question with another analogy?
Just think reasonably and logically. Why would I pay you a 300k annual salary when a chatGPT can do it for nothing? It's pretty straightforward. If you can't justify something with a straightforward answer, likely you're not being honest with yourself.
Why don't we use actually evidence based logic to prove things rather then justify things by leaping over some unreasonable gap with some analogy. Think about the current situation, don't base your hope on a past situation and hope that the current situation will be the same because of analogy.
Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'
#530This is going to sound nuts, but I think CEOs like Altman have more in common with historical monarchs than modern Democratic leaders. In a Democracy, there's more transparency into the degree to which everything the President/PM does is actually delegated out. Joe Biden may be the Commander in Chief, but just watch a political military thriller and you'll see that culturally, we understand the role of the Joint Chie…