root_axis

8 ms·

181.
by root_axis 4mo ago
The outcome of his election was a referendum on Trump's performance among engaged Republican voters.
182.
by root_axis 4mo ago
> me and my wife have been in the US for combined 25+ years, and paid over $100,000 in Sounds like you may be a good candidate for Trump's gold card. I'm being fecitious of course, but I'm just pointing out that thinking
183.
by root_axis 4mo ago
> voters didn't want this Yes they did. Of course they didn't want to be targeted themselves, but the rhetoric was very explicit about what would happen, and they already had a preview of it in 2016 and voted even more favora
184.
by root_axis 4mo ago
It's definitely on the high end. Besides the fact that most startup equity ends up being worthless, you can't wait on a four year cliff to pay your rent.
185.
by root_axis 4mo ago
People hate to be reminded of this, but that "faction" is the voters, in record numbers for the party.
186.
by root_axis 4mo ago
Based on the comments I think a lot of people assume the headline pertains to Bun itself.
187.
by root_axis 4mo ago
That's just the political division. Scientists and academic types tend to lean left, the republicans are a right leaning party so they oppose them. It's not even a Trump thing, it's been like this for decades, though Trump is
188.
by root_axis 4mo ago
Unfortunately, there's really no clear path to viable local models for the common folk, the hardware requirements are just too extreme. I say this as someone with a pair of A100s that is absolutely delighted by what the open source mod
189.
by root_axis 4mo ago
> These companies are selling subscriptions for what is basically AGI This type of rhetoric is exactly why people think it's a scam
190.
by root_axis 4mo ago
You spent 50k for plex hosting? Why so expensive?
191.
by root_axis 5mo ago
A properly designed benchmark won't use tests that leave room for ambiguous interpretation.
192.
by root_axis 5mo ago
Training a model that is larger than your competitor's.
193.
by root_axis 5mo ago
If you imagine the latent space as a map and the prompt as a sequence of directions towards clusters of knowledge, it makes sense that alignment can cull "pathways" through the latent space that emerged during pretraining.
194.
by root_axis 5mo ago
> There's only a finite number of bugs and vulnerabilities. The context of an LLM is also finite. Vulnerabilities are perpetually being created, and this will be true no matter how good LLMs become at writing code - there's s
195.
by root_axis 5mo ago
Access to Kuwait's market is far more valuable than anything Elon or Bezos has to say about how meta operates its business.
196.
by root_axis 5mo ago
Not really. If run away AI ever became a real thing, the stock market would be completely destroyed since most companies would become worthless.
197.
by root_axis 5mo ago
Way too expensive.
198.
by root_axis 5mo ago
I've actually seen this lead to serious issues when a zoom LLM summary attributed statements to someone who didn't say them. Someone else who couldn't attend the meeting later read that summary and it created a major argument
199.
by root_axis 5mo ago
Hilarious to see people predicting a singularity when 40% of the u.s. economy can barley keep the LLMs online to complete mundane software tasks.
200.
by root_axis 5mo ago
Sorry but you're just seeing what you want to see. The idea that a 31b model is anywhere even in the ballpark of something like Opus 4.5 is just absurd on its face.
201.
by root_axis 5mo ago
Well $100k was a generous guesstimate for some time in the future where something like an Opus 4.7 is old news. If we think about the near future, something like Kimi2.6 is within the realm of Opus 4.6 today, but requires closer to $700k in
202.
by root_axis 5mo ago
That cannot run KimiK2.6 or GLM5.1 i.e models within the ballpark of anything offered by frontier companies.
203.
by root_axis 5mo ago
> They're good enough for 95% of use cases They're not at all, not even close. Especially when you consider the use cases for people who are paying for LLM services today.
204.
by root_axis 5mo ago
I have two A100s and have been playing with local models for years. There's definitely moments where they are quite impressive, but small context sizes and unreliability become immediately obvious. > For those of us a bit crazy, we
205.
by root_axis 5mo ago
> Won’t these H100s drop in price in a few years Doubtful. The increase in demand is greatly outpacing supply, and all signs point to a continued acceleration in demand > If I could drop $10,000 to have an effectively permanent opu
206.
by root_axis 5mo ago
I use Opus 4.6 as an example because it's the LLM that has been widely recognized by the public as being reliably capable of doing real work across many domains. However, the same logic applies to Opus 4.5 and even previous generations
207.
by root_axis 5mo ago
You are greatly underestimating the hardware requirements for productive local LLMs. Research consistently shows that parameter count sets the practical ceiling for a model's reliability. Quantized models with double digit param counts
208.
by root_axis 5mo ago
They care. They are very sensitive to their public image and most cannot tolerate criticism or disapproval.
209.
by root_axis 5mo ago
> Also their feelings are not hurt by what you or I think, they don’t care. Definitely not true, they tend to care more than most.
210.
by root_axis 5mo ago
The AI argument doesn't make sense to me for layoffs. If AI is making the company more productive then there's an incredible opportunity to use the existing workforce to tackle the massive backlog of important work. A big layoff o

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