skysight-inc/HackerNews huggingface dataset:
One of the areas where I've struggled to get effective use out of the LLM's is with UI/UX. That isn't my primary area of expertise (backend) so it definitively could be operator error here, but I use tools like v0.dev and just can't quite get it to do what I need it to do. Anybody have any tools, workflows, suggestions for this?
At this point with Cursor you can have it index the online docs by giving it a base URL and have it automatically RAG the relevant content into the chat (using the @ symbol to reference the docs). Both Windsurf and Cursor also support reading from URLs (iirc Aider does too).

I’ve had better luck with manually including the page but including the indexed docs is usually enough to fix API mistakes.
Another thought: these $5 tags still seem as good or better than a DIY tag using the current version of OpenHaystack, right? Unless OpenHaystack supports UWB?
Um, no. I don't want to see pics of NSFL gore before the userbase has had a chance to remove them. Which is what most moderators spend time removing from FB, to the point where it psychologically traumatizes them.
I'm approaching 16k 1080p movies.
Best guess is that they were all caught up in the arms race to try and make a better model, at whatever the cost. And if you work in this space you were probably getting thrown fistfuls of money to join in on it. I read somewhere on reddit that anyone trying to push for efficiency at these places was getting ignored or pushed aside. DeepSeek had an incentive to focus on efficiency because of the chip embargo. So I don't think this is necessarily a knock on US AI capabilities. It is just that the incentives were different and when stock prices are going to the moon regardless of how much capex was getting spent, it was easy for everyone to just go along with it.

With that said, I think all of these companies are capable of learning from this and implementing these efficiency improvement. And I think the arms race is still on. The goal is to achieve super human level of intelligence, and they have a ways to go to get there. It is possible that these new efficiency improvements might even help them take the next step as they can now do a lot more with a lot less.
Thanks, I’m not thinking clearly at all. I had it in my head that programming instruction are not the only way that a computer might do as it’s told. For example, if we delete a folder in a UI by accident we shouldn’t be surprised the folder is gone. But it doesn’t really quite fit the parent analogy. Sorry about that.
Since I couldn't find a description of the rules anywhere:

- Spaces contain monsters of various levels (numbers) and cause your character to lose that amount of HP when clicked. They drop the same amount of gold which you use to level up.

- Leveling up fully heals you and you gain 1 max HP

- You'll need to explore the map beating enough low level monsters to continuously level up while managing your HP. You CAN go to zero HP but not below.

- Get to level 15 and defeat the dragon to win the game.
That sounds like a distinction without a difference. It doesn’t seem to meaningfully refute the point; it’s just hung up on the semantics of “policy-maker”. Who cares that the policy-maker is an algorithm?
That is awesome... Any links? Any risk vectors I may be missing?
The WHO is not useless though, saying "good riddance" without an alternative is absurdly stupid.

Wrecking without building is just destructive.
Most of it will go towards energy. These companies are building literal power plants to power their data centers.
I'm not understanding the reasons for this.. Also there seems to be another worrying issue that I didn't notice either.

> His administration also told federal health agencies to stop most communications with the public through at least the end of the month. [1]

That's not very reassuring.. You would think that a recent pandemic would make everyone think twice about turning public health into something political.

1. https://apnews.com/article/trump-health-communications-cdc-h...
Training will adapt to the widespread use of AI coding assistance if they are that universally useful, and people will come into the market as junior AI wranglers, with skillsets stronger than curent junior devs is some areas but weaker in others; current seniors will grumble about holes in their knowledge, but that's been the case with the generational changes in software development as the common problems people face at different levels have shifted over time. The details are new, but the process isn't.
I flagged it when it first showed up because “Facebook ban on discussing Linux” is obviously bullshit, it took me half a minute to confirm The Linux Foundation was posting about Linux as recently as an hour ago.

I can believe DistroWatch the website got blocked by Facebook for whatever reason and I can sympathize, but exaggerating it to something obviously false doesn’t do them any favors. I think the title needs to be changed if it’s allowed to stay up.
Pretty sure I yelled something like "yoooo no way!!" :D too awesome.
The Rise and Fall of Self-Help Gurus [video]
The numbers on explored spaces show the total level of monsters in the 8 spaces around it. Mark squares with numbers to remind yourself what level of monster is on that space (using deduction). Later you'll come back and defeat monsters of specific levels, because you want to get to exactly 0 HP before you level up.
Agreed, it's very strange to me that this is being framed in the media as "CHINESE DEEPSEEK DESTROYS US STOCK MARKET". It's a good model, but not so wildly good that it suddenly destroys Nvidia somehow. The stock was (and remains) incredibly overvalued.

This smells a lot to me like someone with deep pockets is looking to get a bailout by framing this as some kind of Chinese threat.

Any time the entire media suddenly agrees on a very strange framing of a story you should immediately be suspicious.
(author here) Just a 32 entry BTB is technically a possibility from microbenchmark results, but the EIC7700X datasheet straight up says:

"a branch prediction unit that is composed of a 32-entry Branch Target Buffer (BTB), a 9.1 KiB-entry Branch History Table (BHT), a 16-entry Return Address Stack (RAS), 512-entry Indirect Jump Target Predictor (IJTP), and a 16-entry Return Instruction Predictor"
> corrupt mega agencies that have no accountability

Any references to what you're saying ? Accountable for what exactly ? As I understand they research threats around the world and work towards disease prevention ?
This is a lovely little game, nice work.
> 10 companies own most of the world's food brands

This is not food. I don't buy nor consume any of it.
True. I used it after Pebble went away -- Gadgetbridge helped extend the watch's life a few more years. I bought a PineTime as a sort of replacement for my Pebble Time about 18 months ago. An OK watch and, as one blogger I read noted, it's just smart enough.
All of them are overvalued compared to historical average ratios.

And NVDA’s P/E benefits from very recent huge spending that may not continue.
They don't know how to use Linux they just know Kali
Is that a client-side feature (ie re-roll at the same seed/a similar seed, but add latent noise to areas that need updating)?
DeepSeek: Hype and Reality
The vibes market
Indeed, perhaps the plan was to pump certain stocks after they saw the unprecedented post election rally of Tesla and Bitcoin.

And these people complain about the Pelosi index, which is peanuts in comparison.
The Indoor Plumbing Test
>These companies are building literal power plants to power their data centers.

Have any companies publicly announced doing that, let alone actually started the process of building?
They also did bandwidth scaling to handle work around the nerfed H800 interconnects.

> efficient cross-node all-to-all communication kernels to fully utilize IB and NVLink bandwidths

> The key idea of DualPipe is to overlap the computation and communication within a pair of individual forward and backward chunks. To be specific, we divide each chunk into four components: attention, all-to-all dispatch, MLP, and all-to-all combine. Specially, for a backward chunk, both attention and MLP are further split into two parts, backward for input and backward for weights, like in ZeroBubble (Qi et al., 2023b). In addition, we have a PP communication component.

(I know some of those words)

https://arxiv.org/html/2412.19437v1
Thank you for the feedback. True, all the links do not work because I just haven't created the content yet. Listened to the typical YC advice of launching without being fancy.

Yes, you're right, 1 credit = 1 lesson. And a lesson's duration depends on how you interact with the tutor.
I recently went to the LLM chat arena and tried my "test input" against the latest frontier models that GPT 3 failed on. This test snippet simply repeats the same four-letter word in a paragraph many times using all of its various possible meanings simultaneously. The request to the AI is to put the meaning of each usage of the word next to it in brackets.

None of the frontier models can do this perfectly. They all screw up to various degrees in various interesting ways. A schoolkid could do this flawlessly.

This is not some contrived test with bizarre picture puzzles as seen in ARC-AGI or testing obscure knowledge about bleeding-edge scientific research. It's simple English comprehension using a word my toddler knows already!

It does reveal the fundamental flaw in all transformer-based models: They're just shifting vectors around with matrices, and are unable to deal with many categories of inputs that cause overlaps or bring too many of the tokens too close to each other in some internal representation. They get muddled up and confused, resulting in errors in the output.

I see similar effects when using LLMs for programming: They get confused when there are many usages of the same identifier or keyword, but with some subtle difference such as being inside a comment, string, or in a local context where the meaning is different.

I suspect this will be eventually fixed, but I haven't seen any fundamental improvement in three years.
An analog tuner with PLL would work much like a digital one.
Surprising and refreshing.

Create an ecosystem and all tides rise.
Claude is like having my own college professor. I've learned more in the past month with Claude then I learned in the past year. I can ask questions repeatedly and get clarification as fine as a need it. Granted, Claude has limits, but its a game-changer.

> I think the key to being successful here is to realize that you're still at the wheel as an engineer. The llm is there to rapidly synthesize the universe of information.

Bingo. OP is like someone who is complaining about the tools, when they should be working on their talent. I have a LOT of hobbies (circuits, woodworking, surfing, playing live music, cycling, photography) and there will always be people who buy the best gear and complain that the gear sucks. (NOTE: I"m not implying claude is "the best gear", but it's a big big help.)

I think the only problem with LLMs is synthesis of new knowledge is severely limited. They are great at explaining things others have explained, but suck hard at inventing new things. At least that's my experience with Claude: it's terrible as a "greenfield" dev.
Are you suggesting "AI madness" is a one time event that will not continue? AI is dramatically improving productivity and not just for developers. The "madness" will continue until every job is fully automated. That requires a lot of chips.
I dunno, try explaining how bad elon is at video games and watch how fast your checkmark goes away.
That's assuming there isn't demand for more powerful models, there's still plenty of room for improvement from the current generation. We didn't stop at GPT-3 level models when that was achieved.
I first sneered at the idea of LLM generated LLM training sets, but is this what might be driving the big efficiency leap?

Asking as someone who honestly only superficially followed the developments since the end of 2023 or so
This blog has taken an odd turn. It seems like he is invested in meta stock given the timing of this post and its focus on the stock market reaction to deepseek. That’s fine and I find no fault with it except that it’s hard to read the past few posts and not filter it through someone very bullish on meta no matter how the facts change.
Pebble was a great watch. Really quite intuitive UI. I have some friends still rocking them with Rebble.
The problem with facts has been well known to science since at least 2006:

> We know that polls are just a collection of statistics that reflect what people are thinking in reality. And reality has a well-known liberal bias[1]

[1] https://www.democracynow.org/2006/5/3/stephen_colberts_blist...
If that's the case, then I have high hopes that the increase in efficiency will result in more demand, not less.

If only I could figure out how to buy NV stock quickly before it rebounds
Dump Facebook.
Everything done in China, furthering any intellectual goal, is automatically going to be seen by most of us as a turn played in the game to become the world's #1 superpower. It's not unnatural for them to do this; I assume any nation would push for it if given the chance. The reason this causes so much suspicion is because we westerners are terrified of what that would mean for the rest of the world.

So, sadly, even something that seems noble and refreshing like open-sourcing their AI advancements will be treated with suspicion.
You can also have waterproof with magnetic pin charging like "magsafe" style (doesn't have to be wireless per se) :)
I guess if they blocked *.wikimedia.org to get at commons.wikimedia.org that could make sense. However all those images are also accessible via an en.wikipedia.org url.
It's a simple numbers game - the A teams hire rarely and don't turn over staff constantly and when they do hire they pick up talent internally if it exists.

The rest hire as per the quote previously, turn over staff, build empires for their own egos etc. This makes up the bulk of market facing hiring.
> “repeatedly pressured” Facebook for months to take down “certain COVID-19 content including humor and satire.”

That doesn't quite mesh with "reason, evidence and a scientific mindset". Finding fault with additional claims doesn't change that.

I find the changes Meta made, and the explicit examples they gave which groups to bash, abhorrent. But I also remember how the mainstream enforced all sorts of unhelpful things, so there was basically two big groups, Covid deniers running wild, and the people who didn't allow any criticism or questioning, who were using the outright Covid deniers as an excuse for that. While making ads about being asked by future generations to retell the story how they saved the world by staying at home. The arrogance and mindlessness was so thick you could cut it. It was all "you're with us or with the terrorists". That happened, trying to pretend it didn't would set us on the path of repeating stuff like that. Therefore, just no.
Llama.cpp AI Performance with the GeForce RTX 5090
I've had exactly the same thought, after hitting walls repeatedly with limitations in single-language ecosystems. And likewise, I've had the same concerns around the complexity that comes with Bazel/Buck/Nix.

It's been such a frustration for me that I started writing my own as a side project a year or two ago, based on a using a standardized filesystem structure for packages instead of a manifest or configuration language. By leaning into the filesystem heavily, you can avoid a lot of language lock-in and complexity that comes with other tools. And with fingerprint-based addressing for packages and files, it's quite fast. Incremental rebuild checks for my projects with hundreds of packages take only 200-300ms on my low-end laptop with an Intel N200 and mid-tier SSD.

It's an early stage project and the documentation needs some work, but if you're interested:
https://github.com/somesocks/dryad
https://somesocks.github.io/dryad/

One other alternative I know of that's multi-language is Pants(https://www.pantsbuild.org/), which has support for packages in several languages, and an "ad-hoc" mode which lets you build packages with a custom tool if it isn't officially supported. They've added support for quite a few new tools/languages lately, and seem to be very much an active project.
It's not an exception at all. People get promoted all the time. Most people I work with have been promoted at least once since joining the company, some multiple times like I have.
> Making these types of choices are done in the interest of the writer and not the reader.

I strongly disagree with this. There is a long tradition of leaving obvious questions unanswered, to force a reader to really think. A short list of some that have affected my life:

- “Mending Wall” by Robert Frost (it’s unclear whether “good fences make good neighbors” is supposed to be the true belief of the author, or the inaccurate belief of a character)

- the book of Job in the Old Testament (it’s ambiguous whether Job ever sins and turns his back on God, despite that very question initiating the conflict)

- “Jesus Christ Superstar” (doesn’t actually take a stance on whether the character of Jesus in the musical was good or not, leaving the viewer to think about it for themselves)

I know there are many others, because we explicitly studied this technique in class. It’s like the Socratic method for writing.

> “art”

My understanding of art as a field is that it largely attempts to remove any restrictions over what can or can’t be art. I think the scare quotes is contrary to that. Idk, I tend to believe most experts in their fields, including artists.
> [1] Like dark matter

https://en.m.wikipedia.org/wiki/Microbial_dark_matter

They’re usually only observable in the rare case that they get randomly captured on an electron microscope slide. The genomic method is complicated because there’s so much data it’s hard to extract the signal and reassemble the snippets. There’s already more data than we know what to do with.

That said, recently a fellow HNer used the genomic method on old data and may have discovered a new class of life one step down from viruses: https://news.ycombinator.com/item?id=42547489
As a bystander it's so refreshing to see this, global tech competition is great for the market and it gives hope that LLMs aren't locked behind Bs of investments and smaller players can compete well as well.

Exciting times to be living in .
What am I missing here? Why would anyone go to Facebook to discuss Linux?
4K anything adds up, for sure, especially if you can't cope with throwing out lesser clips!

I have a phone gimbal but haven't used it in years, so I don't disagree there.

My hassle beyond the iCloud backups when out of range is that I usually want to upload IG stories as I go, and picking through the Osmo stuff is painful enough that I just don't do it. So, for a brief time, I'd shoot everything twice which kills any personal moments (hiking with the kids, etc). And then I stopped. The Insta360 was even more limiting: smaller card, hard to tell if you were recording or if you'd run out of space, etc.
Gambling is hard
No one ever explains how it's possible for China to simply give "massive state subsidies" and take over the entire global economy from a starting point of Haitian-level GDP per capita 25 years ago. It sounds extremely easy though - I assume it should be in econ 101 textbooks and India, Indonesia, Nigeria, etc will soon follow this playbook?
You don't have to. That's actually a place where automation could help. You could just use image detection and auto-tag stuff as to what you think it contains. Then, have a list of sensitive tags that are automatically blurred out in the feed (and let users customize the list as they see fit).

If it's something trending towards illegal, toss it into an "emergency" queue for moderators to hand-verify and don't make it visible until it's been checked.

So in your example, if someone uploads war imagery, it would be tagged as "war," "violence," "gore" and be auto-blurred for users. That doesn't mean the post or account needs to be outright nuked, just treated differently from SFW stuff.
Which is, then, supporting the fact that scale matter, isn't it?

Here the scale of time is larger and does make the 5$ significant, while it isn't at the scale of a few days.
> PebbleOS is now open source

> Proprietary source code has been removed from this repository and it will not compile as-is.

So much for “open source”. Must have been some nasty telemetry in this OS.
It’s just a power play while giving themselves backhanded compliments.
Yeah huge influx of goodwill to Google for doing this. I signed up. I wanna see the pebble folks succeed here.
US thought they were unparalleled and years ahead due to $$$ injection and HW,

but got caught by 200 people Chinese team that preferred clever approach instead of "let's put as much compute as we can on it"
Once it gives me the names for the concepts I'm struggling with, I often end up finding the stackoverflow or documentation it's copy pasting.
What you find with any market news is that the optimism and pessimism are always overblown. Fear and greed. It happens all the time.

Look at Linux. For those old enough to remember, there was a time where many (including Microsoft) were worried it would destroy the company (eg [1]). There were complaints about the market destruction caused by Linux. What actually happened? Microsoft is bigger than ever even though Linux is on billions of devices worldwide.

IF DeepSeek's claims are real and this stands up, all that's happened is at worst the profit opportunity has simply move *as it was always going to do). This might be bad for OpenAI and Sam Altman but Big Tech will (IMHO) be fine.

Remember that training LLMs for chatbots, which is something people focus on, is just one narrow slice of the potential AI market. Recommendation engines, industrial/commercial applications, medicine, etc.

If there has been a aoftware breakthrough and training LLMs now costs a fraction of what it did last year, there's now an order of magnitude more potential appllications that have become economical.

Consider this: if we can do today with a model 1/10th the size of what we needed last week, what applications will there be for a model 10x DeepSeek-R1's size?

I'm also reminded of the invention of the cotton gin. This automated what used to be a highly manual process. At the time, there was concern this would diminish the need for slaves on cotton plantations. Instead the need exploded because cotton became so much cheaper [2].

Lastly, Stargate is largely meaningless. Companies spend a fortune on data centers. GPUs are just a fraction of that. A genuine software improvement just means you can do more with less.

My point is: don't panic. Unless you're an OpenAI investor, maybe.

[1]: https://www.zdnet.com/article/microsoft-linux-is-a-threat-it...

[2]: https://www.archives.gov/education/lessons/cotton-gin-patent
Defining a Scalable System: What It Means to Be "Future Proof"
On android at least, it's entirely possible to have weird, niche, hardware options. Why do no android phones have IR blasters anymore? Or FM Radio support? Why has the headphone jack almost entirely disappeared? (as far as I can tell, Sony is the only manufacturer with phones that will work on American networks). These are options that the mainstream consumer has decided they don't want, but I don't buy that there aren't niche markets for them (I know I'm not a typical consumer, but I can't be that far out on the tail, and I want all of those things)

Yes, weird, niche, OSs are much harder because of network effects, but weird, niche, hardware should be getting more diverse, not less so.