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TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'

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Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'

#471

Post by erosivesoul »

thelastparadise wrote: post #431
itishappy wrote: post #347

Earlier quoted context omitted.

Agreed. But this terrifies me. The goal of reusable code (to my mind) is that with everybody building from the same foundations we can enable more functional and secure software. Library users contributing back (even just bug reports) is the whole point! With LLMs creating everything from scratch, I think we're setting ourselves on a path towards less secure and less maintainable software.

I (20+ years experience programmer) find it leads to a much higher quality output as I can now afford to do all the mundane, time-consuming housekeeping (refactors, more tests, making things testable). E.g. let's say I'm working on a production thing and features/bugfixes accumulate and some file in the codebase starts to resemble spaghetti. The LLM can help me unfuck that way faster and get to a state of very clean…

What LLM do you use? I've not gotten a lot of use out of Copilot, except for filling in generic algorithms or setting up boilerplate. Sometimes I use it for documentation but it often overlooks important details, or provides a description so generic as to be pointless. I've heard about Cursor but haven't tried it yet.

Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'

#472

Post by KoolKat23 »

itishappy wrote: post #347
dbmikus wrote: post #251

Earlier quoted context omitted.

I believe you're both saying the same thing. LLMs write "re-usable code" at the meta level. The code itself is not clean and reusable across implementations, but you don't even need that clean packaged library. You just have an LLM regenerate the same code for every project you need it in. The LLM itself, combined with your prompts, is effectively the reusable code. Now, this generates a lot of slop, so we also need…

Agreed. But this terrifies me. The goal of reusable code (to my mind) is that with everybody building from the same foundations we can enable more functional and secure software. Library users contributing back (even just bug reports) is the whole point! With LLMs creating everything from scratch, I think we're setting ourselves on a path towards less secure and less maintainable software.

This is the thing it works both ways, it's really good at interpreting existing codebases too.

Could potentially mean just a change in time allocation/priority. As it's easier and faster to locate and potentially resolve issues later, it is less important for code to be consistent and perfectly documented.

Not fool proof and who knows how that could evolve, but just an alternative view. One of these big names in the industry said we'll have AGI when it speaks it's own language. :P.

Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'

#473

Post by no_op »

slashdave wrote: post #430
no_op wrote: post #424

Earlier quoted context omitted.

Demand for compute will skyrocket given AGI even if AGI turns out to be relatively compute-efficient. The ability to translate compute directly into humanlike intelligence simply makes compute much more valuable.

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 fast and will still drive demand for far more computing capacity than we're producing today.

Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'

#474

Post by petee »

tetris11 wrote: post #351
petee wrote: post #208

Earlier quoted context omitted.

My grandma loved to remind my dad about how he didn't think CDs would become a thing, and to not invest in Philips (as i recall) And he was tech savy, building circuits, computers etc, he just didn't think it would be reliable or better than what existed... definitely a vinyl guy.

that's curious, what was the alternative to the CD at the time?

Most cars had cassette players, many still had 8-tracks; vinyl or or tape at home.

Not that they were great options, but there was alot of existing media available, and hardware was common, so an expensive bulky device to play fragile media at lower quality than vinyl, was how it was viewed by many initially.

Edit: just checking, the Sony Walkman came out in 1979, CDs in 1982, but the Walkman dominated the 80s & 90s, so its easy to see why CDs were dismissed

Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'

#475

Post by jarule »

anthomtb wrote: post #464
Rinzler89 wrote: post #3

Based. The more I read about TSMC, the more I like them.

I have always taken both Taiwanese and TSMC culture to be fairly reserved. So if you see language like "podcasting bro" slipping out, it really means something like "f cking bullsh t con artist".

Taiwanese culture to be fairly reserved

That's what you see. When you're out of earshot we refer to you by several infantilizing expressions that connote npcness.

Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'

#476

Post by fngjdflmdflg »

okdood64 wrote: post #445
fngjdflmdflg wrote: post #429

Earlier quoted context omitted.

>The winter after this is gonna be harsh. The difference is current ML already has real use cases right now in its current form. Some examples are OCR, text to speech, speech to text, translation, recommendations (for eg. Facebook Tiktok etc.) and simple NLP tasks ("was [topic] mentioned in the following paragraph"). Even if AGI is proved impossible, these are real use cases that hold billions in value. And ML resear…

> OCR, text to speech, speech to text, translation, recommendations You missed the point of the parent comment's post. He's talking about the current post chatbot GenAI hype (i.e., the massive amounts of funding being poured into companies specifically after this turning point).

Two points:

1. You don't need massive amounts of funding to work on ML. A good deal of important work in ML was done in universities (eg. GANs, DPM, DDPM, DDIM) or were published before the hype (Attention). The only qualifier here is that training cost a lot right now. Even so, you don't need billions to train and costs may go down as memory costs come down and hardware competition increases.

2. You don't need VC type investors to fund ML research. Large tech companies like Facebook, Google, Microsoft, ByteDance and Huawei will continue investing in ML no matter what, even if the total amount they invest goes down (which I personally don't think it will). Even if they shift away from chatbots and only focus on simpler NLP tasks as described above, related research will still continue as all these tasks are related. For example, Attention was originally developed for translation and Llama 3.2 isn't just a chatbot and can also do general image description, which is clearly important to Facebook and ByteDance for recommendations and to Google for image search and ads. Understating what people like and what they are looking at is a difficult NLP problem and one that many tech companies would like to solve. And better image descriptions could then improve existing image datasets by allowing better text-image pairs, which could then improve image generation. So hard NLP, image generation and translation are all related and are increasingly converging into single multimodal LLMS. That is, the best OCR, image generation translation etc. models may be ones that also understand language in general (ie. broad and difficult NLP tasks). The issue is that OP assumes it must be AGI or bust.

Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'

#477

Post by KK7NIL »

CharlieDigital wrote: post #452
KK7NIL wrote: post #434

Earlier quoted context omitted.

1) the CHIPS money Intel received is going to the Foundry, not the products group; 2) that's not Intel's latest chips, these are: https://www.intel.com/content/www/us/en/products/details/pro... https://www.intel.com/content/www/us/en/products/details/pro... One fully made by Intel Foundry, the other with at least some considerable TSMC parts (which isn't unexpected for the market segment it's in and the fact it was a…

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.

Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'

#478

Post by KoolKat23 »

christkv wrote: post #84
jsheard wrote: post #20

Earlier quoted context omitted.

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…

Also at some point you can run the equivalent model locally. There is no long term moat here i think and facebook seems hellbent of ensuring there will be no new google from llms

I think physics at some point will get in the way, well at least for a while. An H100 costs like $20k-$30k and there's only so much compression/efficiency they can gain without beginning to lose intelligence, purely because you can't compute out of thin air.

Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'

#479

Post by thruway516 »

anon291 wrote: post #306
nicce wrote: post #78

Earlier quoted context omitted.

Imagine how much food you get for every person in U.S. with 7 trillion. You probably get some roofs too.

The US has -- if anything -- too much food. If someone is starving in America, it's 100% due to them having no interest in acquiring the free food that is widely available almost everywhere.

>100% due to them having no interest I wouldn't go that far. Nobody willingly has no interest in being fed. There are logistical and other issues with the distribution of food and ensuring it gets to who needs it the most. It's a microcosm of what's happening in the world: there is more than enough food to feed every hungry person on the planet yet people starve (not because they don't have interest in acquiring food).

Re: TSMC execs allegedly dismissed OpenAI CEO Sam Altman as 'podcasting bro'

#480

Post by KoolKat23 »

farts_mckensy wrote: post #329
jejeyyy77 wrote: post #198

Earlier quoted context omitted.

- it won't work. - ok it works, but it won't be useful. - ok it's useful, but it won't scale. - ok it scales, but it won't make any money. - ok it makes money, but it's not going to last. etc etc

There certainly has been some goal post moving over the past few months. A lot of the people in here have some kind of psychological block when it comes to technology that may potentially replace them one day.

Yeah currently the sentiment seems to be "okay fine it works for simple stuff but won't deal with my complex query so it can be dismissed outright." Save yourselves some time and use it for that simple stuff folks.
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