

Or like looking at the early days of semiconductors and extrapolating that CPU speed will double every 18 months …smh these people
Or like looking at the early days of semiconductors and extrapolating that CPU speed will double every 18 months …smh these people
Can you go into a bit more details on why you think these papers are such a home run for your point?
Where do you get 95% from, these papers don’t really go into much detail on human performance and 95% isn’t mentioned in either of them
These papers are for transformer architectures using next token loss. There are other architectures (spiking, tsetlin, graph etc) and other losses (contrastive, RL, flow matching) to which these particular curves do not apply
These papers assume early stopping, have you heard of the grokking phenomenon? (Not to be confused with the Twitter bot)
These papers only consider finite size datasets, and relatively small ones at that. I.e. How many “tokens” would a 4 year old have processed? I imagine that question should be somewhat quantifiable
These papers do not consider multimodal systems.
You talked about permeance, does a RAG solution not overcome this problem?
I think there is a lot more we don’t know about these things than what we do know. To say we solved it all 2-5 years ago is, perhaps, optimistic
Unfortunately not, here is a little kitchen sink type demo though https://myst-nb.readthedocs.io/en/latest/authoring/jupyter-notebooks.html
Myst-nb is probably the place to start looking btw - forgot to mention it in previous post
I use sphinx with Myst markdown for this, and usually plotly express to generate the js visuals. Jupyterbook looks pretty good as well
Feeding the troll 🤷♂️ “agenda driven” what does that even mean 😆
No one said other languages aren’t allowed. Submit a patch and prepare yourself for years of painstaking effort.
Devils advocate: Splatting, dlss, neural codecs to name a few things that will change the way we make games
Looks like the Barbican in London to me, it’s apartments and a public bar/drinking/working area, nice spot to hang out!
1 is just going to highlight right?
2, how about 6 words, 10 words, 100 words
3, 4 I use all the time
5 if your edit locations don’t line up so that you can alt drag a single column, this is what I mean by jagged. I would use a combination of find and repeat action.
Start from scratch - skill issue :p
Ooh fun, these all take 2-3 key presses
And these more/less key presses
But it misses the point, of course every editor can do just about anything, but there is a lot more mouse involved and learning it is more difficult because the keybinds aren’t combinatorial
Something makes me uneasy about this being a Google sheet, you need to use credentials to view it and someone has a log of who has accessed it…you can probably even see who’s viewing it in realtime
Use an anonymous account! Or someone should host this on a website or something with higher privacy
And full of junkies shooting up in the bathrooms…at least that was my experience in 2nd class.
Never tried 1st class, maybe it’s better
I’m with you, I drew the line at calculators though. I can do the damn sums by myself!
I don’t really follow your logic, how else would you propose to shape the audio that is not “just an effect”.
Your analogy to real life does not take into account that the audio source itself is moving, so their is an extra variable outside of just stereo signal -which is what spatial audio is modelling
And your muffling example sounds a bit over simplified maybe? My understanding is that the spatial stuff is produced by phase shifting the LR signals slightly
Finally why not go further? “I don’t listen to speaker audio because it’s all just effects and mirages to sound like a real sound, what only 2^16 discrete positions the diaphragm can be in” :p
You seem a bit troll-y too but I’ll bite.
The only one suggesting to add women because they are women is the edgy beb. The change I want to see is edgies being made to feel small. I have achieved based on their anemic come back :)
The person starting this thread wants to see the world you’re suggesting I create. And in doing so has opened a whole new class of YouTuber for our dear OP to explore…the analogy about fish, fishing and teachers come to mind
Ooh edgy, say more
This is an extremely odd outlook to have. Good luck with it.
Unfortunately the answer to your question is to not post at all, though if your contributions are worthwhile then that is not an excellent solution
There’s is a huge difference though.
That being one is making hardware and the other is copying books into your training pipeline though
The copy occurs in the dataset preparation.
Yup, that’s what I was alluding to, while it may not still be the case for transistors, they did manage to take 50 odd years to get there, push that trend line from the figure 50 years heh (not saying you should, 5 seems much more conservative)
Take a look at Nvidias pace wrt Moore’s law (of FLOPS) https://netrouting.com/nvidia-surpassing-moores-law-gpu-innovation/