tzekid

7 ms·

1.
by tzekid 1y ago
I think it's because go's community sticks close to the standard library: e.g. iirc. Rust has multiple ways of handling Strings while Go has (to a big extent) only one (thanks to the GC)
2.
by tzekid 1y ago
In modern societies: top 1% of earners pay roughly 30% of taxes top 5% pay 65% of taxes top 10% pay 80% of taxes while bottom 50% usually barely make 2% of taxes. Heavy redistribution of wealth is already in place and it's not ma
3.
by tzekid 2y ago
Forcing Apple to implement interop and such extra features requires a non-trivial amount of labour. That trickles down to the customer in many subtle and not so subtle ways that the parent comment mentioned (more resources and higher inter-
4.
by tzekid 2y ago
It doesn't make me happy. The more the EU regulates, the less innovation we have. It's not a meme, it's reality
5.
by tzekid 2y ago
They are offering a product/service, so going in too much detail would be a bad business practice, no? But true, would love to see this in OpenSource in the wild
6.
by tzekid 2y ago
Isn't it more like "compressing" interactions with and patterns of 500MB of data? Like, it's not only text search but also has a degree of generalization (e.g. in labelling new documents)
7.
by tzekid 2y ago
Following a car in front of you in perfect conditions (otherwise it full-on disengages) just to comply with the regulatory labels is whack. I don't get why people cheer on it and even compare it with Tesla, which goes for ... actual se
8.
by tzekid 2y ago
That's actually awesome tbh. Wonder what effect alignment training will have on the output quality
9.
by tzekid 2y ago
Isn't using compounding inflation rate on top of CPI-inflated dollars double counting? It looks and feels like 40+% to me and everybody else
10.
by tzekid 2y ago
Those are just the countries where you can release an AI product without worrying that you'll get sued into oblivion by the state. See e.g. EU AI regulation
11.
by tzekid 3y ago
That's definitely an awesome mindset. What helped you land your current job more? The network you already had or the cold messages?
12.
by tzekid 3y ago
I think it's meant as an add-on to stand out when applying to a job. I'm quite Junior so I don't know if this applies to more senior positions, but in my experience when applying to jobs my Github page was always a point of d
13.
by tzekid 3y ago
Could be they offload the computing to something like REPL or another third-party on the backend, or?
14.
by tzekid 3y ago
That's disingenuous of you. This article sparks conversations about workplace boundaries and corpo vs personal ethics and rights, as can be clearly seen by the other comments.
15.
by tzekid 3y ago
Use common sense. "[..] blood on your hands [..]" implies he's indirectly a murderer at least. Calling someone a murderer is in the best case defamation or an insult.
16.
by tzekid 3y ago
Not quite reading material, but look up George Hotz's videos about it. I think there's one Twitter Space he hosted / recorded where Musk was also in there. Hotz is very vocal and blunt about the messy codebase situation at Tw
17.
by tzekid 3y ago
But they were. Weavers improved on their processes for a long time before the engineers swooped in and put that accumulated knowledge into an automated form.
18.
by tzekid 3y ago
Something like: M1 MBA, around 12 FPS Ultra settings or high 30s on Medium at 1440p ( max res. apparently )
19.
by tzekid 3y ago
Yep, but an avg. RTX 2060 laptop consumes 3x - 4x the wattage of an M2, no?
20.
by tzekid 3y ago
The suspects were not anarchists ... they were allegedly connected to a Kurdish militant group (so more like nationalists). I hate gov.s as much as the next guy, but the rant is off-topic here. The main problem is that they try to formulate
21.
by tzekid 3y ago
> Binary thinking is a too-common thing. It's engineering after all, isn't it?
22.
by tzekid 3y ago
Here's the full talk[0] from a Microsoft lead researcher that worked with the early / uncensored version of GPT-4. Simplified, tuning it for censorship heavily limits the dimensionality the model can move in to find an answer whic
23.
by tzekid 3y ago
Higher living standards are directly correlated with higher energy and resource consumption. Unless you're living in a far distant village or in the middle of the woods producing everything you use, you're using an immense amount
24.
by tzekid 3y ago
Clean data. A bunch of data points that are in a good enough state / structured to just throw into the training / eval makes a bigger difference than a bazillion messy data points. I can easily imagine people in charge with the me
25.
by tzekid 3y ago
Damn, comparing people who are intrigued by topics deemed taboo by certain moral standards to cancer is ... quite something else. How about putting up a curated model for the public which is easy to access and a less curated / more fre
26.
by tzekid 3y ago
If I understood correctly, the OpenAssistant team wants to open-source their community built RLHF dataset. On the other hand, if you're being cheeky, I bet there's a way to datamine from websites like ShareGPT and profit off share
27.
by tzekid 3y ago
I do mostly Python on my dayjob, but for low-level side-projects I've gotta say C++ with the C++17 or C++20 standard it's way faster to iterate with than say Rust or even something like Zig. For me iteration speed's a big sel
28.
by tzekid 3y ago
Don't downplay yourself like that. A 25k token GPT model is a step in that direction but we're 3 - 15 years from your vision of valuable. Currently, the Language Models (GPT or GithubCopilot) are mostly good as ... copilots. You b
29.
by tzekid 3y ago
ChatGPT plugins are in alpha as far as I know. 12 months seems like a reasonable timeframe. I can totally see a set of plugins that write, debug and test code — all steps a human must now do — all automatically in the next 12 months. That,
30.
by tzekid 4y ago
I don't get why this comment is downvoted. Basically this. A halving of the costs every year or so seems realistic in this emerging phase.

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