I got curious about how many wheelbarrows of cash $20bn actually is. Two ways to think about it: weight vs volume. By weight (assuming all $100 bills): $20,000,000,000 / $100 = 200,000,000 bills Each bill is roughly 1g, so total mass is ~200,000 kg A typical builder’s wheelbarrow can take about 100 kg before it becomes unmanageable 200,000 kg total / 100 kg per wheelbarrow ≈ 2,000 wheelbarrows (weight limit) By volum…
Something wrong about representing the weight of US dollars in metric units.
Nvidia to buy assets from Groq for $20B cash
281–290 of 424 posts
Re: Nvidia to buy assets from Groq for $20B cash
#282Earlier quoted context omitted.
You miss my point. This is a list of people engaging in something flat-out corrupt . The ballroom is an inherently corrupt project. It will prove to be simple corruption.
If justice is served it'll be knocked down by the next admin, if it is ever built.
Re: Nvidia to buy assets from Groq for $20B cash
#283Hopefully prices stay the same, I run my small apps on groq. I get good enough summarization and simple agents from gpt120b which is on 15 cents for a million input tks.
Can you list any internet facing apps you have that use Groq? Looking into them myself because of the speed
Re: Nvidia to buy assets from Groq for $20B cash
#284Earlier quoted context omitted.
Yes. They bounced millions of queries off of ChatGPT to teach/form/train their DeepSeek model. This bot-like querying was the "distillation."
Why would OpenAI allow someone to do that?
Re: Nvidia to buy assets from Groq for $20B cash
#285Earlier quoted context omitted.
> just need to be good enough and fast as fuck Hard disagree. There are very few scenarios where I'd pick speed (quantity) over intelligence (quality) for anything remotely to do with building systems.
If you thought a human working on something will benefit from being "agile" (building fast, shipping quickly, iterating, getting feedback, improving), why should it be any different from AI models? Implicit in your claim are specific assumptions about how expensive/untenable it is to build systemic guardrails and human feedback, and specific cost/benefit ratio of approximate goal attainment instead of perfect goal at…
1. law of diminishing returns - AI is already much, much faster at many tasks than humans, especially at spitting out text, so becoming even faster doesn’t always make that much of a difference. 2. theory of constraints - throughput of a system is mostly limited by the „weakest link“ or slowest part, which might not be the LLM, but some human-in-the-loop, which might be reduced only by smarter AI, not by faster AI. 3. Intelligence is an emergent property of a system, not a property of its parts - with other words: intelligent behaviour is created through interactions. More powerful LLMs enable new levels of interaction that are just not available with less capable models. You don’t want to bring a knife, not even the quickest one in town, to a massive war of nukes.
Re: Nvidia to buy assets from Groq for $20B cash
#286Earlier quoted context omitted.
> just need to be good enough and fast as fuck Hard disagree. There are very few scenarios where I'd pick speed (quantity) over intelligence (quality) for anything remotely to do with building systems.
I agree with you for many use cases, but for the use case I'm focused on (Voice AI) speed is absolutely everything. Every millisecond counts for voice, and most voice use cases don't require anything close to "deep thinking. E.g., for inbound customer support use cases, we really just want the voice agent to be fast and follow the SOP.
Re: Nvidia to buy assets from Groq for $20B cash
#287Are they buying them to try and slow down open source models and protect the massive amounts of money they make from OpenAI, Anthropic, Meta ect? It quite obvious that open source models are catching up to closed source models very fast they about 3-4 months behind right now, and yeah they are trained on Nvidia chips, but as the open source models become more usable, and closer to closed source models they will eat i…
Re: Nvidia to buy assets from Groq for $20B cash
#288Earlier quoted context omitted.
If justice is served it'll be knocked down by the next admin, if it is ever built.
Why would it have to take 4 years? It sure hasn't taken the current admin 4 years to disappear people into Salvadorian torture prisons.
All they have is a demolition site. There's no final design. Trump keeps changing his vision of his mausoleum. They don't have an architect since the previous one quit.
They have less than a week to submit construction plans[1], and they're clearly missing that deadline. It is of course not the end, but it's a sign of things to come, about half a year in.
Trump is personally running the project instead of delegating it and as we all know he's ruled by whims and disorganized plus rapidly mentally deteriorating at 79 years of age. He's talking about getting into heaven and desperately slapping his name on random physical things because he's obsessed with leaving a grandiose "legacy", any kind of mark on history. He will, but it'll rather be as a seditionist and corrupt ravager of civil institutions and the rule of law -- a pitiful despoiler.
There's no section about the ball room in Project 2025, and no one else but Trump cares about this pet project.
[1]: https://www.cbsnews.com/news/judge-denies-request-to-tempora...
Re: Nvidia to buy assets from Groq for $20B cash
#289Earlier quoted context omitted.
I am by no means an expert, but I think it is a process that allows training LLMs from other LLMs without needing as much compute or nearly as much data as training from scratch. I think this was the thing deepseek pioneered. Don’t quote me on any of that though.
Yes. They bounced millions of queries off of ChatGPT to teach/form/train their DeepSeek model. This bot-like querying was the "distillation."
Re: Nvidia to buy assets from Groq for $20B cash
#290The near exclusive global provider of AI chips purchasing the only serious competitors technology while quite spceficially describing it as “not an acquisition” seems a bit…