root_axis

8 ms·

151.
by root_axis 4mo ago
> A distinction without a difference That's absurd. The distinction is at the heart of the entire discussion. It's fine if you want to discuss the disruptive effects of LLMs in the hands of the masses, but that's not wha
152.
by root_axis 4mo ago
They've never gone out of control. All those headlines are cases where humans deliberately relinquished control.
153.
by root_axis 4mo ago
People are working on lots of things all the time, so far, nothing has approached the efficacy of the transformer architecture. LLMs didn't emerge by chance, they are the culmination of decades of research intersecting with brute force
154.
by root_axis 4mo ago
> Both OpenAI and Anthropic were founded by people who sincerely believed in the risk of out-of-control superintelligence. They don't. LLMs can never become out-of-control superintelligence and everyone working on LLMs knows this
155.
by root_axis 4mo ago
An hour out of every work day doesn't seem low to me.
156.
by root_axis 4mo ago
These types of pages have been common long before vibe coding.
157.
by root_axis 4mo ago
Not that surprising. Reining in regulators is one of the main pillars of the party in power.
158.
by root_axis 4mo ago
Kafka pastiche.
159.
by root_axis 4mo ago
It's the inevitable end game. If the models ever become practically useful in a closed loop, there's no other choice except to keep the model private and use it to compete directly with their current enterprise customers.
160.
by root_axis 4mo ago
> 10 engineers can make a billion dollar company Not really. It's possible they could, but in practice they cannot. Creating a billion dollar company requires a good idea, good timing, and a lot of luck, the engineers are the leas
161.
by root_axis 4mo ago
I just can't stand this type of fawning language.
162.
by root_axis 4mo ago
Interesting that Anthropic doesn't feel that leasing an illegally powered data center is a risk to their business operations or brand.
163.
by root_axis 4mo ago
I think the points you raise are reasonable signals to consider, but I don't think they show the author being "consistently wrong". The overall thesis still remains plausible even though we have seen LLMs continue to improve.
164.
by root_axis 4mo ago
Can you point to anything specific from the article that you'd describe as consistently wrong? Not disagreeing with you, but nothing popped out to me after skimming the article.
165.
by root_axis 4mo ago
lol, not sure if this is a joke, but Teslas do not have anything close to the necessary hardware to run grok locally.
166.
by root_axis 4mo ago
The use of the term "understanding" in the quote you mentioned is a claim about metaphysics, not cognitive capacity.
167.
by root_axis 4mo ago
The phenomenological quality of subjective experience is never described as "cognitive capacity". That term is used to describe mental aptitude or skills, like the ability to learn new languages or do math.
168.
by root_axis 4mo ago
> They're made out of weights" describes why the weight-based construction of neural networks should impact the way that you think about them and their outputs. How do you connect that description to "LLMs could not poss
169.
by root_axis 4mo ago
None of those arguments claim "LLMs could not possibly be good models of some cognitive capacity"
170.
by root_axis 4mo ago
Interesting how "the worst candidate in history" is not to blame.
171.
by root_axis 4mo ago
> Putting the total addressable market at around 67T if all of us spend USD 1.5k on tokens every month However, that's an absurd scenario.
172.
by root_axis 4mo ago
Please link one of these top ranked posts. Before you do, be aware that I'm going to read what it says and assess if it meets the description of the argument as claimed.
173.
by root_axis 4mo ago
> didn't even come to $600. That's still in the ballpark. A modest change in your usage habits or workload could easily get you there.
174.
by root_axis 4mo ago
> In the present context, the fallacy manifests in claims that LLMs could not possibly be good models of some cognitive capacity because their operations merely consist in a collection of statistical calculations, or linear algebra ope
175.
by root_axis 4mo ago
It's the opposite, "weather engineering" is a veneer of legitimacy layered over crackpot nonsense.
176.
by root_axis 4mo ago
Yeah... Take it even one step further, why would AI companies even sell access at all? They could just run competitor firms directly themselves, and that outcome is really the only way they can ever hope to make ROI, so for sure they'l
177.
by root_axis 4mo ago
And accelerating the schedules for insiders to dump shares.
178.
by root_axis 4mo ago
Even if quantum computing had any clear implications for LLMs (it doesn't), there is no such thing as a "consumer quantum computer" and there won't be in our lifetimes.
179.
by root_axis 4mo ago
https://www.independent.co.uk/news/world/americas/us-politic...
180.
by root_axis 4mo ago
It's not really a pivot though, is it? As I understand it, the company went bust and sold their branding to a different company that wants to do AI infra.

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