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Grok3 Launch [video]

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Re: Grok3 Launch [video]

#201

Post by jfim »

phtrivier wrote: post #169

Off topic, but just in case: is there a good reference on how people actually use LLMs on a daily basis ? All my attempts so far have been pretty underwhelming: * when I use chatbots as search engines, I'm very quickly disappointed by obvious hallucinations * I ended up disabling github copilot because it was just "auto-complete on steroids" at best, and "auto-complete on mushrooms" at worst * I rarely have use cases…

I've found that Claude has been pretty decent at writing boilerplate code.

For example asking it something like "I have an elixir app that is started with `mix ...` can you give me a Dockerfile to run it in a container?"

It can also do things like "Given this code snippet, can you make it more Pythonic" or even generate simple apps from scratch.

For example, a prompt like "Can you write me a snake game in HTML and JavaScript? The snake should eat hot dog emojis to grow longer." will actually generate something that works. You can see the generated code for that prompt at https://claude.site/artifacts/34540f88-965e-45ca-8083-040e30...

Following up with "Can you make it so that people can swipe on mobile to control the snake?" generates https://claude.site/artifacts/651e957a-9957-488c-ae6b-e81348... which is pretty good IMO for 30 seconds of effort.

It also has a surprisingly competent analysis mode where you can upload a CSV and have it generate charts and analyze the data.

It's not perfect, it'll sometimes get confused or generate some dubious code, but you can quickly get to a 90% good solution with 1% of the effort, which is pretty impressive IMO.

Re: Grok3 Launch [video]

#202

Post by int_19h »

ReptileMan wrote: post #132
albertzeyer wrote: post #130

https://garymarcus.substack.com/p/elon-musks-terrifying-visi... I'm not sure if this was a very bad joke by Elon, or if Grok 3 is really biased like that.

> Everyone—and not just The Information—should be genuinely terrified that the richest man in the world has built a Large Language Model that spouts propaganda in his image. If we survived Gemini refusing to draw white vikings we will survive that too.

The real concern isn't that Grok chatbot will be biased if you ask it a question like that. In any case, knowing Musk, it won't be subtle, so people will know what they are getting.

No, the real worry is that Grok is what Musk's "young conservative genius" squad is going to put in charge of many of the things in our government, basically, on the basis that it saves money.

Re: Grok3 Launch [video]

#203

Post by tgv »

blackeyeblitzar wrote: post #161
albertzeyer wrote: post #130

https://garymarcus.substack.com/p/elon-musks-terrifying-visi... I'm not sure if this was a very bad joke by Elon, or if Grok 3 is really biased like that.

I am not sure why people pay attention to Gary Marcus. He isn’t an expert in AI. And if you followed him in the past at all, it is obvious he has a huge amount of political bias. It is really telling that he repeatedly goes after Elon Musk, and is now making bizarre unfounded claims about propaganda, but didn’t have nearly as much to complain about with DeepSeek, which has literal government propaganda.

You don't have to be an "expert in AI". What does it require to be one, anyway? (He's a cognitive psychologist, which would make him an expert in intelligence in general, if you want to be pompous about it.) It is even unreasonable to listen to only experts in AI. It's a problem that requires more than one perspective.

Re: Grok3 Launch [video]

#204

Post by [deleted] »

InsideOutSanta wrote: post #185
lionkor wrote: post #144

I don't understand how and why Grok would be related to "understanding the nature of the universe", as Musk puts it. Please correct me if I'm wrong, but they basically just burned more cash than any human should have to buy Nvidia GPUs and make them predict natural language, right? So, they are somewhat on-par with all the other companies that did the same. This is not innovation, this is baseless hype over a mediocr…

There are two answers to this. Answer 1: Some people think that LLMs are a path to the singularity, a self-improving intelligent program that will vastly exceed human intelligence and will be able to increase its knowledge exponentially, quickly answering all answerable scientific questions. Answer 2: LLM companies need to keep the hype train rolling. I didn't watch the whole clip; I jumped around a bit, but I notice…

[deleted]

Re: Grok3 Launch [video]

#205

Post by Davidzheng »

albertzeyer wrote: post #162
antirez wrote: post #151

Earlier quoted context omitted.

Karpathy, which is IMHO a serious and balanced person, lamented that it looks too censored (see recent tweets). Elon Musk is (for me) a very scary person, and it is important to evaluate AI safety (but I believe that the safety that matters in AI is of a different kind), yet to listen to Gary Marcus does not make any sense: it's just an extremely biased person that is riding the anti AI wave.

Yes that's certainly true. I was a bit hesitant to post a link from Gary Marcus. But I was mostly posting it for the Elon tweet. I assume the tweet is not fake. So you can ignore about Garys opinion here and just take Elons tweet as it is.

People have tested this question online and gotten very balanced answers so I assume it's some special mode Elon was on

Re: Grok3 Launch [video]

#207

Post by jagermo »

phtrivier wrote: post #169

Off topic, but just in case: is there a good reference on how people actually use LLMs on a daily basis ? All my attempts so far have been pretty underwhelming: * when I use chatbots as search engines, I'm very quickly disappointed by obvious hallucinations * I ended up disabling github copilot because it was just "auto-complete on steroids" at best, and "auto-complete on mushrooms" at worst * I rarely have use cases…

For me, getting summaries of meetings is my favorite use case. Saves me from taking notes and I can extract next steps.

It also helps me getting started with new content, kind of building the scaffolding of, say, a blog or social post. It still needs adaption and fine-tuning, but getting rid of a white page is a great help for me.

And I use LLMs to play through ideas and headlines. I would normally do this with other humans, but since working full remote, its a nice sparing partner, although the AI not being able to really give criticism is a bit annoying.

The tools also make it easier to write in English as a non-native, making sure my text does not include any false friends or grammar errors.

Re: Grok3 Launch [video]

#208

Post by jiggawatts »

phtrivier wrote: post #169

Off topic, but just in case: is there a good reference on how people actually use LLMs on a daily basis ? All my attempts so far have been pretty underwhelming: * when I use chatbots as search engines, I'm very quickly disappointed by obvious hallucinations * I ended up disabling github copilot because it was just "auto-complete on steroids" at best, and "auto-complete on mushrooms" at worst * I rarely have use cases…

I think most people are still "holding them wrong", and it'll take an entire generation of people to really figure out what these things are and are not good for.

I'll give two recent use-cases that may provide a hint of their ultimate utility:

1) I've been modernising 2010-era ASP.NET code written by former VB programmers that looooved to sprinkle try { ... } catch( Exception e ) { throw e; } throughout. I mean thousands upon thousands of instances of these pointless magical incantations that do nothing except screw up stack traces. They probably thought it was the equivalent of "ON ERROR RESUME NEXT", but... no, not really. Anyway, I asked ChatGPT in "Reasoning" mode to write a CLI tool utilising the Roslyn C# compiler SDK to help clean this up. It took about three prompts and less than an hour, and it spat out 300 lines of code that required less than 10 to be modified by me. It deleted something like 10K lines of garbage code from a code base for me. Because I used a proper compiler toolkit, there was no risk of hallucinations, so the change Just Worked.

2) I was recently troubleshooting some thread pool issues. I suspect that some long-running requests were overlapping in time, but Azure's KQL doesn't directly provide a timeline graphical view. I dumped out the data into JSON, gave ChatGPT a snippet, and told it to make me a visualiser using HTML and JS. I then simply pasted in the full JSON dump (~1 MB) and ta-da instant timeline overlap visualiser! It even supported scrolling and zooming. Neat.

Re: Grok3 Launch [video]

#209

Post by mjamesaustin »

butifnot0701 wrote: post #191
lionkor wrote: post #144

I don't understand how and why Grok would be related to "understanding the nature of the universe", as Musk puts it. Please correct me if I'm wrong, but they basically just burned more cash than any human should have to buy Nvidia GPUs and make them predict natural language, right? So, they are somewhat on-par with all the other companies that did the same. This is not innovation, this is baseless hype over a mediocr…

I feel like that's part of what Elon is flexing. Teslabot was late comer compared to competitors like BD. Elon is showing off he can marshal enough resources and talents to be on par (kinda) with state of the art products in crazy time. That's been most of his superpower so far - not breakthrough tech that didnt exist before. We've had rockets before.

I don't like Elon either, but not only has SpaceX created breakthrough tech that didn't exist by landing an orbital class rocket, as of today still nobody else has done it.

Landing a rocket was considered impossible and unthinkable 10 years ago, and then SpaceX completely changed the game. And they're reinventing rocket tech again with Starship by catching it midair.

Re: Grok3 Launch [video]

#210

Post by qingcharles »

phtrivier wrote: post #169

Off topic, but just in case: is there a good reference on how people actually use LLMs on a daily basis ? All my attempts so far have been pretty underwhelming: * when I use chatbots as search engines, I'm very quickly disappointed by obvious hallucinations * I ended up disabling github copilot because it was just "auto-complete on steroids" at best, and "auto-complete on mushrooms" at worst * I rarely have use cases…

I use LLMs significantly on a daily basis, mostly for coding C#, HTML, CSS, SQL. I use them for researching for wiki articles. I use it for summarizing long web pages and science papers. I use them for translation. I used GPT last night to repair my furnace (I've never opened a furnace before).

It (mostly) exceeds and excels at every task I use it for. I'm rarely disappointed. YMMV.

Absolutely life-changing for me.

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