adastra22

6 ms·

91.
by adastra22 2mo ago
The post was replying to someone with 16GB. (And also: no, even the best open weight models are not as good as what you can use on your ChatGPT subscription. They’ve gotten a lot better, but not that much better.)
92.
by adastra22 2mo ago
Yeah, The NVIDIA Way goes into a lot of detail on how and why the pivot from graphics to AI happened. This is a prime example of “you make your own luck.” Jensen engineered an organization that was primed to recognize and pounce on the next
93.
by adastra22 2mo ago
In my case, I dev on macOS. The env the agent runs in is the same as my dev laptop, configured and in sync. Has access to all the same tools and environment as I would on my laptop.
94.
by adastra22 2mo ago
On the $200/mo plan I have never hit a five hour limit, and I struggle to use my full credits each week. $200/month is vastly cheaper than owning and operating comparable hardware.
95.
by adastra22 2mo ago
Serious question: why not run DGX Spark or Framework Desktop, at 30%-50% lower cost?
96.
by adastra22 2mo ago
That’s… not how any of this works. Five paragraphs and literally every one is wrong.
97.
by adastra22 2mo ago
I’m not an expert on switching algorithms, but there are various algos they can use for dropping or rejecting packets, or QoS prioritization that are supposed to self limit even a poorly implemented network protocol and provide fair service
98.
by adastra22 2mo ago
Claude Code was very late to the party.
99.
by adastra22 2mo ago
Buffer exhaustion can cause it to happen pretty quickly with some normal, non-contrived usage patterns. A 10G host sending large data to a 100M peer will cause all packets between all other peers to drop once switch memory is filled up. Ide
100.
by adastra22 2mo ago
It is so frustrating that this can bring down the rest of the network to the lowest common denominator. I know it is the fault of a cheap switch, not the TV, but still.
101.
by adastra22 2mo ago
I don’t know how you can say that. Anthropic’s reputation was destroyed by this, and A LOT of business deals happened before this injustice was corrected.
102.
by adastra22 2mo ago
The economics definition is the real definition that real people use in the real world.
103.
by adastra22 2mo ago
This was struck down. That's why you see so many cash/debit card discounts now.
104.
by adastra22 2mo ago
Probably worth looking into. It provides most of the machinery here on the version control side.
105.
by adastra22 2mo ago
Not once they hit master, no. You push bug fix commits.
106.
by adastra22 2mo ago
I don't understand though. If it's all running on the Linux VM, then you haven't inherited any of the secL4 benefits.
107.
by adastra22 2mo ago
Are you assuming single-layer LORA fine-tuning on top? Because with open-weights you can do full back-propagation training to mold the model into whatever shape you want. For a stretched analogy, I think it is more like LEGO sets. Someone h
108.
by adastra22 2mo ago
But training is not deterministic. The same training run on the same input can result in very different models. And even if you ignore the intrinsically stochastic part of training, the effort of creating a model is ad-hoc and involving hum
109.
by adastra22 2mo ago
That’s not how it works though. Two training runs on the same data don’t produce the same weights. And if you want to modify the AI, you do so by fine tuning the weights not rerunning training. In every respect that matters, the weights are
110.
by adastra22 2mo ago
This viewpoint doesn't make any sense to me. The weights + inference code are the "source code" for AI. I literally don't know what else you are demanding for the "open source" label.
111.
by adastra22 2mo ago
And what would be the point of that?
112.
by adastra22 2mo ago
Separate accounts for work and personal projects is ok. Using multiple accounts to bypass usage limits for the same project is explicitly against ToS. One of Anthropic’s problems though is that the legalese will say one thing, while key emp
113.
by adastra22 2mo ago
Be careful, this is against ToS and they bill ban you.
114.
by adastra22 2mo ago
At this point AI is trained on AI data, and it is moving AI output into super attractors that have no correlation with human text.
115.
by adastra22 2mo ago
Why would that be?
116.
by adastra22 2mo ago
So don’t run a local LLM?
117.
by adastra22 2mo ago
I run everything sandboxed within a custom environment, no history, no memory, no autoloading of tools. Vanilla Claude experience.
118.
by adastra22 2mo ago
The capability for a man-made machine machine to solve problems drawn from arbitrary problem domains without domain specific pre-training: Artificial. General. Intelligence. AGI. It is what the term of art means.
119.
by adastra22 2mo ago
They’re not talking about zooming, hence the quotes.
120.
by adastra22 2mo ago
The answer is in TFA.

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