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yalok

850 カルマ登録 8 年前

投稿

Havana Syndrome Device Purchased

cnn.com
19 ポイント·投稿者 yalok·6 か月前·10 コメント

コメント

yalok
·昨日·議論
Could star link add some cameras on the back of those satellites and make the detection actually much better?
yalok
·24 日前·議論
is ultrasonic scanning completely harmless for developing baby? when my wife was pregnant, I remember they wouldn't recommend too frequent ultrasonic scans...
yalok
·先月·議論
Impressive speed up at the cost of quality - a bit lower quality than 12B model, but multiple times faster…
yalok
·先月·議論
if there're some specific tests/evals to satisfy that an agent can test by itself, it can easily iterate for hours. And this time also includes running those tests/evals, which may not be small.
yalok
·先月·議論
0.8GB is for text only. It's more like ~1.1GB if you include video/audio encoder
yalok
·先月·議論
Could just be more tests? :) Which is good for code quality in general and reduces support burden, but doesn’t lead directly to more features
yalok
·先月·議論
imo, it really depends on what you enjoy doing. Regardless of AI, choose software development if you like to build complex systems that no-one has built before, and have enough patience to dig deep / debug things to make them work exactly as you expect.

For some of us here, it's just what we love to do, no matter what tooling is available. When I first started building my own software long time ago, it was a very slow Basic and fast raw machine codes (in octal system, PDP-11 like CPU). I enjoyed it not because of tooling, but despite of it.

Over the years, the tooling was getting better in general, which allowed us to build increasingly more complex systems.

With AI, we will still be creating & debugging. It's just that before AI, I had to spend 90% of my work on mechanical not-so-fun things to get things to work, and only 10% on fun algorithmic-intensive parts. But with AI tools, this ratio seems to change, and all kind of boilerplate code & algorithms can be written much faster by AI, hopefully leaving more time for us to work on creative part of the work.
yalok
·先月·議論
just saw a relevant HN post about this very matter in Berkley - https://news.ycombinator.com/item?id=48392004
yalok
·先月·議論
I heard they do CS exams on air-gapped machines at UC Berkley. Use of AI to do CS homework is strongly discouraged, and if someone cheated, it shows up at the exam...
yalok
·2 か月前·議論
but ASML is in Europe - so they hold at least some critical part of the stack.
yalok
·2 か月前·議論
> First git itself is distributed and built for scale.

there're different dimensions for "scale" - like handling large monorepos, orders of magnitude more commits, tighter requirements for latencies (for agentic use, e.g. for agentic history navigation)...
yalok
·2 か月前·議論
were you in that room where Adam was making that call? No? didn't think so...

Just give people some benefit of doubt. There're much simpler ways to explain certain things that suspecting some universal evil in every move...
yalok
·2 か月前·議論
There're tons of ways to fine-tune WebRTC that it wouldn't corrupt audio in poor network - it has all of the controls to smoothly trade-off latency vs quality. Not just NACKs - FEC, disable PLC/Acceleration/Deceleration, larger JB (tons of parameters) etc.

Most of the glitches I heard with OpenAI's Voice were not WebRTC related - but rather, to my ear, they sounded more like realtime issues with their inference - which is a very different component to optimize.
yalok
·2 か月前·議論
it doesn't necessarily have to be tied to monetization & privacy directly.

It may just be that ROI doesn't make sense: very few user out there truly care about (or even understand) E2EE, for quite some users it creates an inconvenience & support incidents (harder to move from device to device, forgot your passphrase - lost your history, new joiners to a group chat don't see previous history, etc), it requires a significant additional engineering effort to just maintain it, many new features get shipped much slower because of it...
yalok
·2 か月前·議論
building new features on top of E2EE is genuinely hard, and I've seen many companies struggle to keep innovating while staying strictly E2EE.

Having seen multiple leading messaging/VoIP stacks from inside, the amount of engineering spent to work around various limitations of E2EE in real prod scenarios is insane, and even for simple every-day-use features metrics don't compare to the metrics of the same feature running without E2EE.
yalok
·3 か月前·議論
amazing to see Claude Code top models still way above all other models for C++ & Java, while GPT 5.5 is higher in Python & JS and others. Shows the skew in the training data sets, and maybe the go-to-market focus - with Anthropic focusing on enterprise customers much more than OpenAI?

Matches with my experience with Opus for C++.

C# results are empty - @gertlabs - any ETA for those?
yalok
·3 か月前·議論
Does this include repos content in BitBucket?
yalok
·3 か月前·議論
For those in the USA - if you never tried brunost (brown cheese) - look at specialty cheeses of a larger grocery chain (Whole Foods, Safeway, …) - it’s called “Ski Queen” here, and is sold as a perfect cube in red/brown plastic pack.

It’s very delicious.

I was ecstatic when I found it quite a few years ago in a regular store. A Norwegian friend of mine used to send me a brick of this cheese once a year for Christmas, when I was a student, and I treasured it as one of the most valuable possessions :)

Also, fun fact - the reason this cheese tastes sweet is due to caramelization - the milk gets boiled for a long time (hours) to get the brown color and sweetness. So it’s completely natural, zero added sugar ;)
yalok
·3 か月前·議論
He may just want to buy them, to accelerate things, once SpaceX IPOs
yalok
·3 か月前·議論
vibe-coded all the way through