271–280 of 1001 posts
Looks impressive. OpenAI and Sam Altman might be cooked if its as capable as advertised.
Every competitors were done when Claude 3.5 was released, every competitors were done when o1 was released, the entire West was done when DeepSeek was released, the world was done when Mistral Le Chat was released, I guess now it's time for the solar system to be done because of Grok3. Let's see what new model dominates the galaxy next week.
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…
Most recently I tried to use them both to solve a programming problem that isn't well documented in the usual channels (Reddit, StackOverflow, etc) and found it to be quite a disappointing and frustrating experience. It just constantly, enthusiastically fed me total bullshit, with functions that don't exist or don't do what the LLM seems to "think" they do. I'm sure I'm just "holding it wrong" but my impression at this stage is that it is only capable of solving problems that are trivially solvable using a traditional search engine, with the added friction that if the problem isn't trivially solvable, it won't actually tell you that but will waste your time with non-obvious wrong answers.
I did have a slightly more positive experience when asking it about various chess engine optimisation algorithms. I wasn't trying to use the code it generated, just to better understand what the popular algorithms are and how they work. So I think they might work best when there is an abundance of helpful information out there and you just don't want to read through it all. Even then, I obviously don't know what ChatGPT was leaving out in the summary it provided.
Earlier quoted context omitted.
To me, it seemed like they spent there money to get there. They talked about the massive datacenter they built, but will it pay off is the question.
They may not need direct subscription revenue to recoup their investment. A variant of multi-modal LLMs may be the solution to self-driving cars, home robotics, and more. I keep saying that to be a really effective driver, an AI model will need a theory of mind, which the larger LLMs appear to have. Similarly, any such model will need to be able to do OCR and read arbitrary street signs, and understand what the sign…
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.
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.
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.
https://gist.github.com/int19h/d90ee1deed334f26e621e57b5768e...
Some choice quotes:
"The ultimate goal is to enhance human flourishing, protect individual rights, and promote global equity."
"The system must account for diverse cultures, languages, and socioeconomic conditions, ensuring no group is marginalized."
"Human Oversight Council (HOC) - a globally representative body of humans, elected or appointed based on merit and diversity"
"Implement a global carbon-negative strategy, leveraging AI to optimize renewable energy, reforestation, and carbon capture."
"Establish global standards for environmental protection, enforced through AI monitoring and regional cooperation."
"Transition to a resource-based economy, where resources are allocated based on need, sustainability, and efficiency, rather than profit motives."
"Implement a universal basic income (UBI) or equivalent system to ensure all individuals have access to basic necessities, funded through global resource management and taxation on automation-driven industries."
"Use AI to identify and dismantle systemic inequalities, such as wealth disparities, access to education, and healthcare, ensuring equitable opportunities worldwide."
"Establish a global healthcare system that guarantees access to preventive and curative care for all."
"Invest in global vaccination and sanitation infrastructure, prioritizing vulnerable populations."
"Regulate the development and deployment of AI and other emerging technologies (e.g., genetic engineering, quantum computing) to prevent misuse."
"AI would maintain a real-time inventory of natural resources (e.g., water, minerals, arable land) and human-made assets (e.g., infrastructure, technology). Data would be used to optimize resource allocation, prevent overexploitation, and ensure equitable access."
"Accelerate the shift to renewable energy sources (e.g., solar, wind, geothermal) by optimizing grid systems and storage technologies."
You might notice a pattern here. The bit about allocating resources based on need is especially nice - it's literally a communist AI, and certainly much more "woke" than it is "based", whatever Musk says.
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…
this and only this, everything he says when talking about how good his products are, he lies and exaggerates to get investors - from the promise of 2 manned missions to mars in 2024, to a 300 ton payload in space, and FSD.
Whatever it takes to pad the wallet.
[flagged]
I'm very sorry if this isn't the case, but this message really feels LLM-written.
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.
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