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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'

#251

Post by dbmikus »

itishappy wrote: post #176
mrybczyn wrote: post #118

Earlier quoted context omitted.

LLM Code Assistants have succeeded at facilitating reusable code. The grail of OOP and many other paradigms. We should not have an entire industry of 10,000,000 devs reinventing the JS/React/Spring/FastCGi wheel. Im sure those humans can contribute in much better ways to society and progress.

> LLM Code Assistants have succeeded at facilitating reusable code. I'd have said the opposite. I think LLMs facilitate disposable code. It might use the same paradigms and patterns, but my bet is that most LLM written code is written specifically for the app under development. Are there LLM written libraries that are eating the world?

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 better AI tools to help humans interpret the code, and better tools to autotest the code to make sure it's working.

I've definitely replaced instances where I'd reach for a utility library, instead just generating the code with AI.

I think we also have an opportunity to merge the old and the new. We can have AI that can find and integrate existing packages, or it could generate code, and after it's tested enough, help extract and package it up as a battle tested library.

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

#252

Post by zmgsabst »

AndrewKemendo wrote: post #242
bdndndndbve wrote: post #10

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.

Re:AGI LLMs don’t have any ability to choose to update their policies and goals and decide on their own data acquisition tasks. That’s one of the key needs for an AGI. LLM systems just don’t do that / they are still primarily offline inference systems with mostly hand crafted data pipelines offline rlhf shaping etc… There’s only a few companies working on on-policy RL in physical robotics. That’s the path to AGI Open…

They do — but only when they’re trained on past outputs and with a willing partner.

For instance, a number of my conversations with ChatGPT contain messages it attempted to steer its own future training with (were those conversations to be included in future training).

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

#253

Post by Workaccount2 »

sensanaty wrote: post #202
Roark66 wrote: post #139

Earlier quoted context omitted.

I can't understand how anyone can use these tools (copilot especially) to make entire projects from scratch and expand them later. They just lead you down the wrong path 90% of the time. Personally I much prefer Chatgpt. I give it specific small problems to resolve and some context. At most 100 lines of code. If it gets more the quality goes to shit. In fact copilot feels like chatgpt that was given too much context.

I hear it all the time on HN that people are producing entire apps with LLMs, but I just don't believe it. All of my experiences with LLMs have been that for anything that isn't a braindead-simple for loop is just unworkable garbage that takes more effort to fix than if you just wrote it from scratch to begin with. And then you're immediately met with "You're using it wrong!", "You're using the wrong model!", "You're…

As a non-programmer at a non-programming company:

I use it to write test systems for physical products. We used to contract the work out or just pay someone to manually do the tests. So far it has worked exceptionally well for this.

I think the core issue of the "do LLMs actually suck" is people place different (and often moving) goalposts for whether or not it sucks.

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

#254

Post by eitland »

jonplackett wrote: post #226
dizzydes wrote: post #72

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…

When electricity got cheap - we use MORE electricity. Think how many places you see shitty software currently. My wife was just trying to use an app to book a test with the doctor - did not work at all. The staff said they know it doesn’t work. They still give out the app. We are surrounded by awful software. There’s a lot of work to do- if it could be done cheaper. Currently only rich companies can make great softwa…

> We are surrounded by awful software. There’s a lot of work to do- if it could be done cheaper. Currently only rich companies can make great software.

Lots of the awful software is made by awfully rich companies - and lots of good software is made by bootstraped devs.

To mention some interesting examples, both Amazon and Google has gone from great to meh soon after they went from startups to entrenched market leaders.

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

#255

Post by alephnerd »

Prbeek wrote: post #247
alephnerd wrote: post #188

Earlier quoted context omitted.

> We'll build plants overseas if you don't give us CHIPS Act money is a great scheme The CHIPS act has provisions to help fund fabs in allies. This is why Biden and Modi announced a Feb dedicated to US and Indian defense systems [0] at the QUAD summit as well as as the designation of the UAE as a "Major Defence Partner" along with India [1] which includes tech transfer conditions. A significant portion of the CHIPS a…

These designations are nothing but schemes to lock in major weapon buyers into the US MIC ecosystem.

Partially, but defense is the biggest buyer for electronics - which is why the CHIPS Act and "Supply Chain Security" became a thing.

For a number of commodity components, there was a heavy reliance on China due to low margins. Now there is a push to move those portions of the supply chain away to other partners.

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

#256

Post by automatic6131 »

AlexandrB wrote: post #43
aero-glide2 wrote: post #5

Earlier quoted context omitted.

they will be. Looking at the rate of progress (just tried o1mini), its inevitable.

I once read that on the 80s it was believed that female runners would soon outpace male runners because the trend line for them was moving up so fast. This turned out not to be the case because the curve wasn't exponential but "S" shaped - the female runners eventually plateaued. It's easy to assume that exponential growth will continue indefinitely but it's rarely the case that this is true.

Wow, I didn't expect this to be true (that anyone believed that) BUT

https://www.nytimes.com/1992/01/07/science/2-experts-say-wom...

But it was just two people and they were criticized by peers for being space cadets at the time. There are always some people ready to make a fool of themselves for recognition, perhaps.

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

#258

Post by gtvwill »

binocarlos wrote: post #30
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…

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've coded python scripts that let me take csv data from hornresp and convert it to 3d models I can import into sketchup. I did two coding units at uni, so whilst I can read it... I can't write it from scratch to save my life. I can debug and fix scripts gpt gives me. I did the hornresp script in about 40 mins. It would have taken me weeks to learn what it produced.

I'm not a mathematician, hell i did general maths at school. Currently I've been talking through scripting a method to mix dsd audio files natively without converting to tradional pcm. I'm about to use gpt to craft these scripts. There is no way I could have done this myself without years of learning. Now all I have to do is wait half a day so I can use my free gpt o credits to code it for me (I'm broke af so can't afford subs). The productivity gains are insane. I'd pay for this in a heartbeat if I could afford it.

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

#259

Post by [deleted] »

stackghost wrote: post #123
slibhb wrote: post #108

Earlier quoted context omitted.

"Plausible-looking but incorrect sentences" is cheap, reflexive cynicism. LLMs are an incredible breakthrough by any reasonable standard. The reason to be optimistic about further progress is that we've seen a massive improvement in capabilities over the past few years and that seems highly likely to continue for the next few (at least). It's not going to scale forever, but it seems pretty clear that when the dust se…

>when the dust settles we'll have LLMs significantly more powerful than the current cutting edge -- which is already useful. LLMs, irrespective of how powerful, are all subject to the fundamental limitation that they don't know anything. The stochastic parrot analogy remains applicable and will never be solved because of the underlying principles inherent to LLMs. LLMs are not the pathway to AGI.

[deleted]

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

#260

Post by JCharante »

> Even implementing a fraction of the OpenAI CEO’s ideas would be incredibly risky, the execs are said to have openly pondered.

I don’t want to live in a world where nobody takes risks.

> However, the latest OpenAI statements have rolled back such talk to "mere" hundreds of billions. It is reported that years of construction time would also be needed to satisfy the OpenAI compute scaling plans.

Yeah so what? It will take years to build so build 36 mega data-centers in parallel.

> the firm has an income of approximately $3 billion per year, which is put in deep shade by its $7 billion annual expenditure.

Those are tiny numbers. Airpods are a $14B/year line of products. OpenAI needs to be ready to spend 100B/year.

> Likewise, Apple launched its iPhone 16 and 16 Pro earlier in the month with a lot of talk about Apple Intelligence, but the first of these AI features won’t be available on the new devices until next month.

I’m on a 15 pro max with the 18.1 PUBLIC Beta. I have these features and so do 16 users. Mark Tyson. This is terrible lazy journalism. You add half true statements to make your point.

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