respectattentio

3 ms·

1.
by respectattentio 8d ago
Syntax could be improved for AI I believe. With testing, you could reduce tokens while being more accurate. This is a new language, it's worth experimenting in this and see reasoning, input, and output tokens across different tasks.
2.
by respectattentio 8d ago
Never heard of Bonsai before, but that looks great and promising for local on-device inference. Yet, seems like there is still another year for improvements. I like local models (but not mainly using them) for offline needs.
3.
by respectattentio 8d ago
Great launch! I was thinking about making a language with same thoughts: Safer than C++ and faster than rust (and a 3rd thing: optimized for AI) and you actually did it for me. Hooray! Just the AI language optimization thing is missing..
4.
by respectattentio 10d ago
This is interesting and actually very important for robotics. I've been waiting for this, but all companies seem to not care much now. There is a way out of this by supplying right context (needs a bit of expertise in physics) 1 more y
5.
by respectattentio 10d ago
Seems like "some" of LLMs tasks are now Jev tasks.
6.
by respectattentio 11d ago
Why these updates are getting so much way heavier with each release? like Xcode 10 GB and this update near 30 GB, are you kidding me? What if I don't want that Siri AI. It should be optional.
7.
by respectattentio 13d ago
I'm happy to not have used any of the two models to this date. A bit less intelligent models are doing great job for me. But because of such news, sandboxes become way more important for safety (and doing more work due to running 24&#x
8.
by respectattentio 13d ago
Couldn't we just break the pause button? so it is not usable?! Not pausing means more people knowing truths of everything faster in this world. One of them, that I'm very excited about, is science & research.
9.
by respectattentio 13d ago
This hits hard. I believe that because AI is learning human experiences, it will help with verifiable work. Anything that can have outcomes or metrics well defined as true success criteria will enable AI to be able to help easier than other
10.
by respectattentio 13d ago
Interesting thought. My view is that ASI could be created and benchmarked to know that it reached that level of intelligence. Once we have that, we must sit to talk about abundance to define where to implement it and at what rate in full de
11.
by respectattentio 13d ago
A few thoughts: I support AI acceleration to reach abundance and then and only then start regulating it, not before that. Regulating early means just delaying abundance by 5 to 10 more years or maybe more. I don't like to build somethi
12.
Trump rejects call by CEOs of Anthropic, OpenAI and xAI to slow AI down(yahoo.com)
20 points by respectattentio 13d ago|21 comments
13.
by respectattentio 14d ago
Yes it does. I spent (and still spending) years developing stuff and still not have enough money out of them. Some want to kick me out of home because of it. It sucks. But you never knew when your efforts compound, and that's the point
14.
by respectattentio 14d ago
Yes, why working on something that "may" be beneficial in the far future? This is like inventing a 128-bit CPU architecture. Nobody would be able to utilize like even 1% of that, even with AI.
15.
by respectattentio 14d ago
How much you want? $1M? $10M? I could easily give you that title. Or maybe you can even do that yourself. Lots of new companies are either faked, or amplified. Example: If I made a sale of $100 this hour, it can become $864K ARR, with ampli
16.
by respectattentio 14d ago
The right question: Will 7G be needed? I say no for the next 15 years. Because there are 1425235 other things that are way much important than this.
17.
by respectattentio 15d ago
UN voted and when I tried to find the new map next to the old map side by side, I found none. I just wished for one. So I gave my wish to myself and to you all like me who want to play around and see the comparisons of countries in both UN
18.
Show HN: Mercator vs. UN's new Equal Earth map, synced side by side(newworldsize.com)
8 points by respectattentio 15d ago|1 comments
19.
by respectattentio 15d ago
I don't know why I feel the entire software world is going to switch to Rust (more than the others), C++, and Assembly soon. Especially after the successful Bun 1.4 runtime migration to Rust.
20.
by respectattentio 15d ago
If anyone wants to see it: Africa vs Greenland on the old UN world map side by side with the new one https://newworldsize.com/old-vs-new/compare/africa-vs-greenl...
21.
by respectattentio 15d ago
I didn't meant it is a mistake as a projection but as a choice adopted for everywhere you look.
22.
by respectattentio 16d ago
Never knew that and millions are so. Why? Because it is not used just for marine navigation. It is mostly used for everything related to maps and apps with maps.
23.
by respectattentio 16d ago
How it is not a mistake? Because as you see, old map is everywhere and is used for everything. Just open Google Maps and see. It's not fair to make a false map a standard being used for everything.
24.
by respectattentio 16d ago
I don't think so. They usually don't use what has not been agreed on officially.
25.
by respectattentio 16d ago
It is insane how the big mistake lasted. After seeing each country before and after side by side on a website, it's insane how big the difference in false sizes of countries compared. Like Greenland vs Africa, come on man!! This must b
26.
by respectattentio 16d ago
It actually shrank a bit in size (especially Alaska). This is side by side comparison (old vs new map): newworldsize.com/old-vs-new/united-states/
27.
by respectattentio 29d ago
Like you were reading my mind. I was waiting for such benchmark to land. This will improve models for such scientific research workflows. AI should have started with science from the beginning, not after 4 years. I am building on top of it
28.
by respectattentio 1mo ago
After firing all, when CEO can fire themselves to be just founders? This will be epic.
29.
by respectattentio 1mo ago
I can't imagine the future any more. US companies playing it safe and control models releases. Chinese companies are just like open source everything. It's like Chinese are incentivized to open source from day one (years ago). Whi
30.
by respectattentio 1mo ago
The only difference is using LLMs instead of Embedding models

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