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Grok3 Launch [video]

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Re: Grok3 Launch [video]

#291

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…

finally, after two years of hype I have some usage for llm. we import descriptions of products from a seller. the problem is they are mental ( probably written by chatgpt :)) and are way too long. we need only small blurb. I put our style guide and given text to chatgpt and I get somehow reasonable description back. then editors still need to check it, but it's way less work.

I've seen a comic at the beginning of the LLM hype where:

* in panel A, some guy is proud to use ChatGPT to turn 3 lines of text into a 10 pages report

* in panel B, some girl is happy to use ChatGPT to summarize the 10 pages report into 3 lines

It was meant to be _satire_, not the sales pitch ;)

Re: Grok3 Launch [video]

#292

Earlier quoted context omitted.

>Not available in Europe currently I hate how its the same story for every new AI technology. If someone can tell me who to vote for or where to protest to change this awful EU law, that would be great.

It has nothing to do with the EU laws, or at least not in the sense they want you to think about it: no laws prevents AI players to release their AI models here, but they are all also big tech players who are affected by GDPR, DSA and DMA which harm their business by protecting the consumers. That's why they use their AI products as a leverage to turn European people against the laws that protect them from big tech.…

No, it has nothing to do with the GDPR or DMA. It is due to the AI Act.

https://artificialintelligenceact.eu/wp-content/uploads/2021...

https://en.wikipedia.org/wiki/Artificial_Intelligence_Act

Re: Grok3 Launch [video]

#293

Earlier quoted context omitted.

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 feel like that's part of what Elon is flexing. Teslabot was late comer compared to competitors like BD. When it come to bipedal robots, Tesla is far ahead of Boston Dynamics in terms of actually creating a product.

[deleted]

Re: Grok3 Launch [video]

#294
post #250

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 it everyday. For coding, I use cursor composer to gather context about the existing codebase (context.md). Then I paste that into DeepSeek R1 to iterate on requirements and draft a high level design document, maybe some implementation details (design.md). Paste that back into composer, and iterate; then write tests. When I'm almost done, I ask composer to generate me a document on the changes it made and I doub…

Cursor is not yet an option for me, but at least it means aider is not a dead-end. Thanks for the info.

Re: Grok3 Launch [video]

#295
post #80

Earlier quoted context omitted.

this is correct. "open source" means everything required to recreate from scratch and improve. not "here's a massive binary, an interpreter script and permission."

How can you even "open source" an AI model without all of the, presumably copyrighted and extremely voluminous, training data?

You don't need the data itself, but at least a reference to what was used, basically provide the entire blueprint to recreate it.

It's just like even for a true open source software you still need to bring your own hardware to run it on.

Re: Grok3 Launch [video]

#296
post #248

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…

This video's pretty great: https://www.youtube.com/watch?v=uRuLgar5XZw One thing I can't figure out how to get LLMs to do is truely finish work. For example if I have 100 items that need xyz done to them, it will do it for the first 10 or so and say ~"and so on". I have a lot of trouble getting LLMs to do tasks that might take 10 mins - 1h. They always seem to simply want to give an example. Batch processing is the a…

Thanks for the link.

(Other answers are people gathering examples, which is nice, but I'm looking for more structured things.

And, I suppose I could ask an LLM, but my main problem is that... I don't really _trust_ LLMs yet :D )

Re: Grok3 Launch [video]

#297
post #131

Earlier quoted context omitted.

The government puts money into his corporations, maybe you could elaborate on what extent said "success" is dependent on this relation?

He bids for contracts just like anyone else and most of those contracts were won under Democrat presidents, but I digress. If you're saying government contractors can't work for the government, then you're going to have to explain the military-industrial complex to me.

I don't see the relevance.

Re: Grok3 Launch [video]

#298

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…

Meeting summaries is the most hilarious thing these neural networks have produced. I don't know which NN model does Zoom use, but the text it produces is super funny :) . It basically can't parse half of the words, and then generate a random sentences using the remaining ones.

Re: Grok3 Launch [video]

#300

Earlier quoted context omitted.

For the same reason I doubt Einstein's abilities as a painter. History is littered with the stories of smart people who tried to treat government dysfunction like corporate dysfunction and failed spectacularly.

Ah, but would you doubt Feynman's? https://www.themarginalian.org/2013/01/17/richard-feynman-of...

I would doubt Feynman's skill at parkour
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