tel

12 ms·

121.
by tel 3y ago
Agreed, definitely. And several more times which I won't say aloud.
122.
by tel 3y ago
The Return of the Obra Dinn is a game I think about pretty regularly. I wish I could replay it naive.
123.
by tel 3y ago
For what it's worth, the expansion does a number of things to really create the feeling of playing the base game again. Highly recommended.
124.
by tel 3y ago
So there's a filtering/refinement process. That doesn't immediately seem so unlike other commodities. I buy refined gasoline, for instance.
125.
by tel 3y ago
With respect to your experience cited in your other comment, a lot of my music experience time is a continuous stream of random tracks on Apple's "Made for You" feature. I'm not particularly partial to what comes up. The
126.
by tel 3y ago
In my understanding of culture, native born American, to tell someone you “love” them implies a great deal of intimacy and trust. The word implies something that must be built over time and is unique and lasting. It often has an implication
127.
by tel 3y ago
I’d also be interested.
128.
by tel 3y ago
Sure, and I said it was confident, not correct. I find it interesting that it pulled some kind of interpretation from the string. Far more than I would have. I asked it to translate the English data back into a similarly plaintext string an
129.
by tel 3y ago
I was curious if GPT could handle this. I couldn't get GPT-3.5 to figure it out, but GPT-4 was very quick to propose an interpretation. It's far more confident than I could imagine being, even if I could speak German, but this sor
130.
by tel 3y ago
Arbitrage and it's various squishier more stochastic cousins are the vehicle by which information flows through markets. Markets exist as a global network of interactions and persistent imbalances anywhere in the system can have massiv
131.
by tel 3y ago
As an MM, you manage your spread, the distance away from the midprice (say) that you're quoting. The tighter your spread, the more trades you pick up, the more profit you make against noise trading. The looser, the fewer you pick up an
132.
by tel 3y ago
I believe the vision pro does do divested rendering. They mention it as a core component of the VisionOS render pipeline.
133.
by tel 3y ago
Completely agreed. I'd go further as to say that a "sufficiently well-architected cloud architecture" is nearly unaffordable by most teams and thus, without loss of much generality, will not be obtained by you. And a similar
134.
by tel 3y ago
A lot of what Erlang/Elixir offer have been cribbed by cloud architecture, so in terms of direct comparisons you may find that a sufficiently well-architected microservices system has similar properties and will make Erlang/Elixir
135.
by tel 3y ago
I think that anthropomorphizes the LLM quite a lot. I don't disagree with it, I truly don't know where to draw the line and maybe nobody does yet, but to myself at least I caution the idea of whether or not us using language evoca
136.
by tel 3y ago
> ... you could also use it to predict what the user will say next. But we prefer not to go there. I go there all the time. OpenAI's interfaces don't allow it, but it's trivial to have an at-home LLM generate the {:user} p
137.
by tel 3y ago
I think there's practical and stylistic angles here. Practically, "chat" instruction fine-tuning is really compelling. GPT-2 demonstrated in-context learning and emergent behaviors, but they were tricky to see and not entirel
138.
by tel 3y ago
If you play with a "raw" model such as LLaMA you'll find what you suggest is true. These models do what you'd expect of a model that was trained to predict the next token. It's quite tricky to convince such a model
139.
by tel 3y ago
It's definitely ML-relevant, but I'd argue that it's in its own league, and is maybe a suitable ur-language for that league.
140.
by tel 3y ago
Honestly, facilitate a culture of supportive interconnection between people where we are less afraid to share our deepest selves, even when they are shameful and painful, and more confident that we will receive the open-hearted support we n
141.
by tel 3y ago
The optimistic side of me hopes that AI commoditizing this sort of manufactured art will help to ultimately reduce its value to larger audiences. My pessimistic side suggests that it only means that larger audiences will come to admit that
142.
by tel 3y ago
I've never felt more "conservative" than when probing my feelings of fear around the future in light of AI. It makes me so aware of how often my visions of the future were largely based around managing the known uncertainties
143.
by tel 3y ago
Sort of. I hadn't read that one and just skimmed it, but I think it falls into the same category of "while we can find compelling activation patterns even at a single neuron level, it's hard to rule out other representations&
144.
by tel 3y ago
In order for it to be the second you'd need to assume that at least some part of the critical reasoning of the LLM involves storing the data of the number in a single model activation. This is pretty unlikely, as models tend to store i
145.
by tel 3y ago
You want to witness the learning firsthand, I suppose. That's reasonable. I'd also suggest that it's possible to imagine questions for the LLM that it cannot solve today and that you reasonably believe will not be available t
146.
by tel 3y ago
Have reasonable suspicion, sue you, and then use discovery to find any evidence at all that your models began with LLaMA. Oh, you don't have substantial evidence for how you went from 0 to a 65B-parameter LLM base model? How curious.
147.
by tel 3y ago
This is an interesting argument as it's easy to apply it nearly universally to any example of learning. What sort of evidence would convince you that it is learning?
148.
by tel 3y ago
I think it's hard to deny that it's doing some level of reasoning. It's quite clear that these models do not merely echo elements of their training data and that they can solve simple and novel puzzles. What that reasoning is
149.
by tel 3y ago
We're getting kind of to the point where these words are hard to define, but it's worth really interrogating these. Ultimately, the context and the prompt don't change the fundamental nature of how the system was optimized. Y
150.
by tel 4y ago
I don't think this is true at all and it suggests a view on what GPT is that I think is very incorrect. Not to rag, it's just a common POV. GPT does not attempt to learn the average "text-generating system". It attempts

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