Chirono

7 ms·

1.
by Chirono 26d ago
That night image looks very heavily cropped based on the field of view.
2.
by Chirono 26d ago
They mean no human at the wheel to take over if the hardware dies. If you are driving full speed down the highway and your gpu packs up, you’d better have a backup to bring the vehicle to a safe stop.
3.
by Chirono 3mo ago
That’s usually not true due to caching. It may be true if you leave a large gap in between, but if you send “make it red” right after, then it’s purely incremental
4.
by Chirono 1y ago
Exactly. This number is so so much bigger than 10^100000 or however many grains of sand would fit, that dividing by that amount doesn’t really change it, certainly not enough to bring it down closer to 9,999,999sub10
5.
by Chirono 2y ago
The two other changes they mention have been widely adopted, and are included in at least some of the models they benchmark against. It seems they list them for completeness as changes to the original transformer architecture.
6.
by Chirono 2y ago
This is just an artefact of tokenisation though. The model simply isn’t ever shown the letters that make up words, unless they are spelled out explicitly. It sees tokens representing groups of words. This is a little like saying a human isn
7.
Photorealistic reconstruction in static and dynamic scenes(wayve.ai)
9 points by Chirono 2y ago|1 comments
8.
by Chirono 2y ago
I used to use K professionally inside a hedge fund a few years back. Aside from the terrible user experience (if your code isn’t correct you will often just get ‘error’ or ‘not implemented’ with no further detail), if the performance really
9.
Lingo-2: Driving with Natural Language(wayve.ai)
2 points by Chirono 2y ago|0 comments
10.
by Chirono 3y ago
For anyone wondering what this does, it looks like it produces optimal configurations for belt balancers given a specified number of input and output belts. Belt balancers evenly distribute items between belts: https://wiki.facto
11.
by Chirono 3y ago
In some cases you can directly test hypotheses like that, but more often than not, there isn’t a way to test without just trying.
12.
by Chirono 3y ago
Nice paper. I particularly like how they talk through the ideas they tried that didn’t work, and the process they used to land on the final results. A lot of ML papers present the finished result as if it appeared from nowhere without tri
13.
by Chirono 3y ago
That’s only true for linearly ordered structures, but isn’t true for partially ordered ones. For example, set inclusion. Two different sets can be neither greater than not smaller than each other. Sets ordered by inclusion form a partially
14.
by Chirono 3y ago
Interesting! Do you have a link to that research?
15.
by Chirono 3y ago
From reading this book you’d have a very good grasp of the underlying theory, much more than many ML engineers. But you’d be missing out on the practical lessons, all the little tips and intuitions you need to be able to get systems working
16.
by Chirono 3y ago
Wayve is developing their own autonomous vehicle system, so I think they are their own target audience here.
17.
by Chirono 3y ago
The other angle on ‘Corporate AI’ is when we’ll start to see product placement and adverts inside generated content. Create an image of coffee, and you’ll find Starbucks logos everywhere. Ask an LLM about a topic and see it work in an adver
18.
by Chirono 3y ago
It’s entirely static for now. I’m sure we’ll see techniques for dynamics objects eventually though.
19.
by Chirono 3y ago
Link seems to be dead?
20.
by Chirono 3y ago
What would you propose instead?
21.
Elon Musk says he'll resign as head of Twitter(abcnews.go.com)
6 points by Chirono 4y ago|0 comments
22.
by Chirono 4y ago
out of interest, is there anything specific you think humans will always be better at than AI?
23.
by Chirono 4y ago
Of course they’re different. But so what? That’s not exactly proof of anything, unless you’re suggestion biological neurons are the only configuration in the universe capable of thought? Maybe that’s true, but it seems unlikely to me. The p
24.
by Chirono 4y ago
This paper, and most other places i’ve seen it argued that language models can’t possibly be conscious, sentient, thinking etc, rely heavily on the idea that llms are ‘just’ doing statistical prediction of tokens. I personally find this utt
25.
by Chirono 4y ago
Yes there are: https://www.volvotrucks.com/en-en/trucks/alternative-fuels/e...
26.
by Chirono 4y ago
Stretch the timelines out a bit. Say the asteroid is two years off (a fairly typical startup runway). I would much rather know the planning, decisions and execution of the one thing that could save my life were done by well rested and level
27.
by Chirono 4y ago
I still find it strange that housing is expected to be an appreciating asset class, rather than a depreciating one that requires continual investment to counteract wear and tear etc. I understand that this is largely by design, but it seems
28.
by Chirono 4y ago
That code is written in a very declarative, functional style. Haskell is a language that forces you to write code like that, so might be a worth a look if your goal is to write ‘pretty’ code. However, I’d also add that becoming an “elegant”
29.
by Chirono 4y ago
I’d double check your working there because it certainly is true. In your example the standard deviation (2e29) is far bigger than the difference between the median and mean (5e28).
30.
by Chirono 4y ago
Are there any details on how this works anywhere? It kinda looks like a diffusion model, but using Gaussian blur instead of the Gaussian noise that dall-e etc use.

More ›