HawtAds

3 ms·

1.
by HawtAds 2mo ago
It doesn't have to look "cartoony". Harness issue. Your 2026 models are trained on a sufficiently broad set of images that style is almost a solved problem.
2.
by HawtAds 2mo ago
> It doesn’t seem like aviation became safer because pilots took risks That's pretty much the job of test pilots even today. They are usually dual trained pilots and engineers/technicians, and their job is basically to QA new
3.
by HawtAds 2mo ago
No, this is just poor management. Japanese 7-11s are ran better because of better culture, products and management. It's not magic.
4.
by HawtAds 2mo ago
I think you are overcomplicating things. You have a power envelope, and you have to design your application around it. That's pretty much it. From an engineering perspective, there's no real complexity when it comes to the hardwar
5.
by HawtAds 2mo ago
The benchmark is nice but it's very much biased towards flagships i.e. not very useful in practice if you are trying to ship production mobile apps. Apple historically is extremely stingy when it comes to RAM and they never bothered gi
6.
by HawtAds 2mo ago
Maybe by traffic but I think Shopify has them beat on valuation (well, it's hard to say since one is a public listed company).
7.
by HawtAds 3mo ago
How stable is DuckDB these days? I remember it was very buggy compared to Clickhouse.
8.
by HawtAds 3mo ago
I love the article, it's a breath of fresh air compared to the usual bay area centric takes. However there's just one issue: > The students I want to teach are in the same position, and so are the ones in Nigeria and Banglades
9.
by HawtAds 3mo ago
Not the first time this sort of thing happened in Canada, fuel starvation is surprisingly common in aviation. https://en.wikipedia.org/wiki/Gimli_Glider
10.
by HawtAds 3mo ago
I would say modern autoland (both GPS based and ILS types) systems are a little better when it comes to handling emergency issues like maximizing range and endurance but the problem with autoland is that they require a lot of things to work
11.
by HawtAds 3mo ago
> Is this implying there's no benefit in having the model train on itself? There are various theories around model collapse when you train on too much AI generated data (that's not for distillation).
12.
by HawtAds 3mo ago
Their dinner plate chips are impressive.
13.
by HawtAds 3mo ago
Hacker News is very Bay Area/US tech centric where spending a few hundred a month on AI is just pocket change. The weaker AI models with more questionable data retention policies are popular in developing countries. I think the new Fac
14.
by HawtAds 3mo ago
You do know em dashes are a normal part of formal prose right? If you go through pre GPT New Yorker and the Atlantic articles, there are plenty of em dashes too.
15.
by HawtAds 3mo ago
> Kinda like cultural imperialism but with an ethical spin. As the old adage goes, US innovates, China imitates, EU regulates.
16.
by HawtAds 3mo ago
I would say we are pretty much there.
17.
by HawtAds 3mo ago
I wish they would provide an ECharts backend, it's probably one of the most performant and featureful charting libraries you can find.
18.
by HawtAds 3mo ago
Interesting, TanStack Charts was also released a couple days ago with a similar design. https://tanstack.com/charts/latest
19.
by HawtAds 3mo ago
> Musk (who freely admits to distilling OpenAI's models) struggle to build a competitive 1T model (Grok 4.5) with massively more compute (Colossus-1 100-250K GPUs, Colossus-2 500K+ GPUs) Are you sure they are using all of their co
20.
by HawtAds 3mo ago
> LLMs do not care about "elegance" the way human beings do, which is a big advantage. It's just a matter of time before you can post train it for elegance too. Mathematical proofs in particular can be formally verified
21.
by HawtAds 3mo ago
Isn't that rather self evident? If you are sampling from a particularly domain constrained vertical, how do you expect the censorship to transfer? > The distillation data also did not contain any China-sensitive content. This is a
22.
by HawtAds 3mo ago
I don't see what the issue is. Isn't the entire point of LLMs that we can easily translate between languages? What better way to cross check the correctness of a proof than to run it on several different systems simultaneously.
23.
by HawtAds 3mo ago
This is just an API level change right? The model itself should be the same I think.
24.
by HawtAds 4mo ago
One of the best technical explanations I have heard in a long time.
25.
by HawtAds 4mo ago
For model routers, do they have to retrain the routing model every time a new LLM is released?
26.
by HawtAds 4mo ago
Not sure about OCR specifically, but the newer (past quarter) vision language models all have a lot of post training on detecting garbled text specifically. You can feed some of the old stable diffusion outputs into a modern model and they
27.
by HawtAds 4mo ago
I think OP is referring to the initial sign up based on an invite link, not the database storage itself. It depends whether you want to check the invite code against the invitee's email. It very much depends on the application. For mos
28.
by HawtAds 4mo ago
The word champ comes from the world of horses actually https://www.npr.org/sections/memmos/2016/06/09/605796769/che...
29.
The future of Digital-out-of-home (DooH) advertising(hawtads.com)
2 points by HawtAds 4mo ago|0 comments
30.
by HawtAds 4mo ago
*champing at the bit

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