daemonologist

I don't think it's been shrunk, I think there just aren't enough high karma posts to fill the default (filtered) page. Old posts fall off due to karma decay and low quality posts get flagged or hidden by mods. I've seen it several times before (and thought to myself that it would be a good time to post).

As mentioned there's also asknew: https://news.ycombinator.com/asknew

It's here as well: https://api-docs.deepseek.com/quick_start/pricing/

With an unlimited budget, Kimi K3 (which is quite comparable to this Qwen Max imo). With a normal budget/a PC you might already have, probably Qwen 3.6 27B.

Going from 5.5 Instant (which was noticeably bad) to 5.6 Luna is a big jump as well. OpenAI is probably the most prominent among the general public - an advantage in some respects but they're giving away a lot of free inference and thus have to use a pretty small model to do it.

Pricing: https://dev.meta.ai/docs/pricing-rate-limits

Interesting that they have separate API pricing for "we can train on your data" (whereas iirc most of the big players either make that distinction only between subscriptions and API usage, or train on everything). Wonder how it compares to Deepseek V4 Flash given that they're similar on pricing and data policy.

Service area: https://support.google.com/waymo/answer/9059119?hl=en#DAL

The linked qwencloud page has pricing; it's $2/6.

https://www.qwencloud.com/models/qwen3.8-max

It seems to only be available in Kimi Code, via subscription, no there's no API pricing. The linked page says it consumes about half as much quota as the 1M version though.

Btw if you do need a permissively licensed model for this task, there are lots out there, e.g.:

https://github.com/KupynOrest/s3od

https://github.com/Tennine2077/PDFNet

https://github.com/PramaLLC/BEN

Agreed, and even SSR always felt like cheating imo. I wanna see someone build a primary radar on an esp 32.

My read is that they're announcing a plan to build non-folding wings to test the geometry they would eventually want with folding wings. Which makes sense but isn't very exciting.

It might be that a lot of the cost doesn't show up in the data because it comes out of your paycheck before it's "yours," in the form of your employer's contribution to health insurance premiums. (Anecdotally this is true for me - "my" portion of premiums would not be in the top three, but the total premiums are #2 after housing (for a while when I had roommates they were #1, which is ridiculous).)

(BLS gets this data from surveys: https://www.bls.gov/opub/hom/cex/home.htm )

Parakeet is way faster (on Nvidia hardware) but not quite as accurate in my experience.

There was a fad a while back of building insanely long prompts - tens of thousands of tokens - including having models write prompts for themselves. I always thought it was counterproductive, especially if you're going to use the prompt more than a couple of times. (That said, the e.g. Claude Code system prompt is insanely long, so if you genuinely have a lot of information to provide maybe it's beneficial. Like, shorter is better, but you don't want to be under-specified.)

I think they're saying that you should build a small business which nets you 85k, not find an employer that underpays you.

(Whether this makes you more resistant to being "fired" is still up for debate of course.)

It goes up - quite a lot - if you take promotions.

But, back in the day FIRE used to mean something beyond just being rich - there was an anti-consumerist bent (and expectation that you'd move away from your expensive city/former job) that usually went along with lower spending.

Only if you seek them out (ski resorts and such). I've lived in both of the most expensive major inland cities (Chicago and Denver) and $85k is plenty in both, even for a small family.

A 7900 XTX is about $850, and the rest of the computer basically just needs to boot Linux. You could easily build such a machine for $1500.

Even that isn't strictly necessary - you can get perfectly acceptable performance by splitting a model between multiple older 12 or 16 GB cards.

I would definitely not recommend WordPress.

If you just want a website for cheap: Bearblog, carrd.co, etc.

if you want all the bells and whistles on a platter: Squarespace, Wix, etc.

if you want to supply all the HTML/CSS yourself: Github Pages or Cloudflare Pages.

(Later, if you want to host the above (except the "bells and whistles" tier) yourself: Hetzner, Digital Ocean, etc.)

Interesting that many of them lead with clams or oysters. (Perhaps this is still a thing at high-end restaurants, but to have them listed so frequently and prominently is completely foreign to me.)

Proof of what is possible with stripped down/optimized software. Imagine the battery life if they built one of these around something with better sleep power (e.g. an nrf52).

Ha, developers know perfectly well how to choose models - they know that the company is footing the bill and Opus will give them the best result and/or require the least clean-up work.

(We've received similar guidance. Even better is that our provider, GitHub Copilot, does not provide usage information to individual users if there is no per-user budget configured. So we just fire our requests into the black box and at the end of the month when IT gets the bill we maybe get a talking-to if it's excessive.)

Only Florida, Maryland, and New York require adults who are new drivers to take any kind of class/instruction. (Most states require it under 18, with a few under 21 or 25.) Everywhere else you can just walk in and take the test.

The perhaps greater problem though is that those tests are completely trivial.

Yes you can connect keyboard and mouse; Overwatch (https://www.protondb.com/app/2357570) and WoW (https://appdb.winehq.org/objectManager.php?sClass=version&iI...) should both work well, as do the vast majority of single-player games. Some multiplayer games with particularly invasive anti-cheat may not, so if you have anything else in mind best to check before buying.

I like that it involves grinding up the tick. Just deserts.

No. I feel the same way, and have started moving to only do hardware-focused side projects. (I would say this works out nicely because I had several ideas on standby, but their cost has gone up 3-4x due to current memory and storage prices, which is I guess sort of depressingly poetic.)

At some point in late 2017 the paper was updated with this additional detail:

    Equal contribution. Listing order is random. Jakob proposed replacing RNNs with self-attention and started the effort to evaluate this idea. Ashish, with Illia, designed and implemented the first Transformer models and has been crucially involved in every aspect of this work. Noam proposed scaled dot-product attention, multi-head attention and the parameter-free position representation and became the other person involved in nearly every detail. Niki designed, implemented, tuned and evaluated countless model variants in our original codebase and tensor2tensor. Llion also experimented with novel model variants, was responsible for our initial codebase, and efficient inference and visualizations. Lukasz and Aidan spent countless long days designing various parts of and implementing tensor2tensor, replacing our earlier codebase, greatly improving results and massively accelerating our research.

In any case, if the authors considered their contributions equal, that's good enough for me.

The benefit of running the full precision version is negligible (probably not even measurable above the benchmark noise floor). Most common for cost-conscious users is to run something around 4-6 bits per weight, which would fit on a 24 or 32 GB card (as you mentioned).

There is no "coder" version of Qwen 3.6; I think they just mean it's a coding-focused model of similar size and performance (to Qwen 3.6 35B-A3B).

Regular Qwen 3.6 benchmarks slightly better and has much wider software support though, so this is probably of interest only to organizations which disallow models trained in China.

The allegation here is that it's not actually a fine-tune of Qwen, but instead an undisclosed mashup (merge) of someone else's fine-tune of Qwen and the original model. Rio subsequently said that the model was in fact a merge, that they did additional fine-tuning after the merge, and that they accidentally uploaded the base merge instead of the version with additional fine-tuning. But this seems like quite an oversight...