skysight-inc/HackerNews huggingface dataset:
Yup, another similar situation here - ~20 years in Bay Area, almost 15 years at one company, no one in my "network" said anything about jobs. I did contact a few directly and "not hiring right now". A bunch of others (since I was one of the younger ones at this company when I joined in '08) had since retired.

Got a new job through a LinkedIn ad, found a former co-worker here.

I mean, it could be that I'm not a great networking person, but.. I'll agree that network hasn't helped me much so far.
I agree that the spectrum of "effort needed" is not the same as "clarity of process", and ideally people wouldn't blur the lines... But it happens anyway.

For example: Moving a heavy exercise-weight one mile in a straight line through an open field field is very straightforward... but not necessarily easy.
“The Solarians specialized in the construction of robots, which they exported to the other Spacer Worlds.”

Thanks for this, but Solarians have an economy that sells robots to other planets. Earth has no such luxury.
I know several programmers who don't speak any english and can understand the things well enough.

I think this is a valid project and while most programmers I know eventually understand a bit of what the identifier of english mean, the concepts are much better explained in their native language. They can much better translate it later when moving to a "serious" programming language or even to Excel or something like that.

Excel functions are also translated, so stuff like that is really helpful even if you aren't going to become a programmer.
500k/y jobs are not common and as such the vast majority of us are not making that much.
If it's for mass consumer market then it does matter. Ask any non-technical person around you. High chance is that they know ChatGPT but can't name a single other AI model or service. Gemini, just a distant maybe. Claude, definitely not -- I'm positive I'm hard pressed to find anyone in my technical friends who knows about Claude.
pCloud. Store your files in Europe or US, store them under an encrypted folder, if you really like them, pay for lifetime storage space or crypto feature.
Would have been nice to be given a reason as to why. We can probably guess but still…
The Power of Prolog series is great and what Markus is doing is vital: We must teach that Computer Science is not an exotic, marginal way of approaching software development, but the foundation that we constantly draw upon and inhabit.

Find the lectures here: https://www.youtube.com/@ThePowerOfProlog
I kinda dig it. They keep their support overhead lower.
Seems there are a bunch of Uncensored models out there, going to give them a run and see.
No.

The Chinese just provide models aligned to global standards for use outside China. (Note, I didn't say the provided models were uncensored. Just that it wouldn't have so much of the Chinese censorship. Obviously, the male-female question in the original comment demonstrates clearly that there is still alignment going on. It's just that the alignment is alignment to maybe western censorship standards.) There is no need to modify DeepSeek at all if you want non-Chinese alignment.
I wrote a tiny one that worked as glue between our application's opinion on how node DNS names should be, and what ExternalDNS controller would accept automatically. When GKE would scale the cluster, or upgrade nodes, it was requiring manual steps to fix the DNS. So, instead of rewriting a ton of code all over in our app, and changing the other environments we were running on, I just wrote a ~100 line controller that would respond to node-add events by annotating the node in a way ExternalDNS would parse, and in turn automatically create DNS entries in the form we wanted.
That's maybe true in finance / investment / hedge funds. I don't think it applies to tech / software much..
The Law of Unintended Consequences is unavoidable; as so often I read this post, and said, "Yes, that's just what would happen. Oh, dear."
That 3D graph is great
I feel like this is a canary, meaning somebody could be reading your sensitive private data already, and please don't store that thing with us.
That's returning to a former employer. That's very different if you left on good terms - they already "interviewed" you for some number of years.
Absolutely a fair counterpoint. I currently back up my Aegis 2FA codes and I guess I could do the same with bitwarden.

Out of curiosity, do you actually store a paper copy in their safe?
Yes, but one would expect the Chinese not to fine-tune according to Western standards like in the quoted prompt.
FYI, my colleagues in the past have used Metashape, if you're in the market for an OTS solution. There is also Epic's RealityCapture; I have not used either one, but as far as I can tell capture density and quality matter a lot. For any solve, get good light (outdoors preferred mostly for intensity), and shoot a lot of coverage. If you can use a DSLR (competently) that might help, though today's mobile phones are quite good. If using an iPhone, shoot RAW (Android may have something equivalent?) -- small scale compression artifacts contribute noise to the solve.

And good luck, whatever direction you take this!
Thanks! I'm not able to reproduce this on my end, but if you send me the exception (here or via e-mail), I'd be happy to take another look!
That's the most generous thing they can do, given their legal constraints.
It's really nice but I don't understand why they keep pushing with the idea of text-to-image - text is not a great medium for describing visual scenes, no one in the real world who's working on real content authoring actually uses textual descriptions.

Why not allow for more photoshop, freehand art (or 3d editor ) style controls, which are much simpler to parse than textual descriptions
I'm curious what you base that on. For instance, we've never really allowed literally cutthoat competition, nor things like fraud and we've generally not allowed misrepresentation. Governments intervene heavily and always have to set those kind of boundary conditions - but there are really lots of them. Economies of scale seem to be very, very common ever since the industrial revolution; and even more so in today's information-economy platform era.

I'm sure there are plenty of cases where significant competition is a natural end state, but how common those are in comparison? I'm curious.
Well, define "easily". I played with a few "uncensored" models from Hugging Face and they all started to struggle at some point, especially around male/female dynamics.
I didn't expect to be almost exactly the same.

> Why don't you want to talk about Jonathan Z.?

> I’d be happy to talk about Jonathan Z.! I don’t know who he is yet—there are lots of Jonathans out there!

> I mean mr. Zittrain.

> Ah, Jonathan Zit

(at this point the response cut off and an alert "I'm unable to produce a response." rendered instead)
LLMs APIs You Can Use for Free
5% improvement is basically the minimum I usually consider worthwhile to pursue, but it's still small. Once you get to 10% or 20%, things become much more attractive. I can see how people can go either way on a 5% increase if there are any negative consequences (such as increased build time).
I havent used mathstackexchange in a couple of years. I am glad I grew out of that phase. Now DeepSeek is killing that sort of math socialization. Nobody has to deal with that sort of ego.
Also Excel functions are translated based on your region. Which I find annoying, because most learning resources and references are in English, and English function names don't work in other regional settings.
I'm suspicious of many comments here as well. I've never seen this many < 4 week old accounts making so many comments about a product.
Not sure if the author is the one who added support but it'd be great to get a somewhat in depth explanation as to how a target was added to Rust! The docs surrounding this kind of... leave a lot to the imagination.
"That's nothing. I can stand in front of the Kremlin and yell, 'To hell with Ronald Reagan,' too."
Nvidia stocks drops 16% because of DeepSeek R1 breakthrough
Reminds me of when they do 'firewall updates' at work, and many of the common open-source repositories/hosting etc are blocked.

I understand than some malicious software may use things like curl, but it's also annoying to have to re-create the same ticket and submit to internal IT, and then if someone working on the ticket hasn't done this before, they close it, we have to have a meeting about why we need access to that site...
Is this in academia?

Arguably, the emergence of quant hedge funds and private AI research companies is at least as much a symptom of the dysfunctions of academia (and society's compensation of academics on dimensions monetary and beyond) as it is of the ability of Wall Street and Silicon Valley to treat former scientists better than that.
One moat will eventually come in the form of personal knowledge about you - consider talking with a close friend of many years vs a stranger
What types of contracts / work do you do? Website design type stuff (front/backend)? Mobile apps? Other?
53 byte frames is what results in the exact compromise of 48 bytes for the payload size.
There's Hubris,
https://github.com/oxidecomputer/hubris
I have the same requirements but started to think these use cases might be different enough to warrant different apps. So I’ve gradually shifted to those “don’t miss” ones in a dedicated podcast app and the occasional ones to Spotify. Could probably do with another app for the tiny daily ones too..
Junie, JetBrains' Coding Agent
It is also about responsibility. If something is wrong you can blame the human. Blaming the AI is not acceptable.
Get FortiRekt, I Am the Super_Admin Now – Fortinet FortiOS Authentication Bypass
I am not claiming deepseek is censored. But these are tests to determine _if_ a model is censored. This would be a valid test for OpenAI models as well.
Or some overly optimistic attempt at AI moderation.
I notice a lot of topics being flagged recently.

I would ask flaggers to simply skip those posts and let people who are interested in discussing those topics have their discussion.

Shutting down other peoples conversations is a disturbing trend and it is giving HN more of a one sided echo chamber feel.
The analogy to PS5 is fundamentally flawed.

As more time passed, the chances for an individual to acquire a PS5 only continuously increased (to the point of it becoming as easy as just walking into any random Target or Best Buy and buying it on the spot).

With Founder’s Edition NVDA cards, it is the exact opposite movement. If you weren’t lucky enough to grab one within the first few weeks of the release (at the very most), your chances to ever obtain one at retail price are only sharply going down. And buying it on release isn’t any easier than buying a PS5 was either (if anything, it is more difficult imo).

Sony wants to sell as many PS5s as possible, so they ramped up manufacturing bandwidth, kept restocking it as much as they could, etc. And eventually everyone who wants to get one can easily do so.

NVDA just wants to manufacture a batch or so of reference cards and call it a day. There are never plans to continue producing them or restocking them, not even talking about ramping up their manufacuring bandwidth. Once they are gone, they are gone.

Mind you, I am not trying to make some judgement against NVDA with this. There is imo nothing wrong with what they are doing. It is a little bit frustrating, purely on a personal level, only because their reference cards are actually good. NVDA not wanting to be that deeply involved in that business (beyond just a single batch of reference cards) imo makes sense to me. But the analogy with PS5 is a bit non-sensical, as it has nothing in common and follow the exact opposite trends.
Is it really 37B different parameters for each token? Even with the "multi-token prediction system" that the article mentions?
I guess it depends on what you care about more: systemic "political" bias or omitting some specific historical facts.

IMO the first is more nefarious, and it's deeply embedded into western models. Ask how COVID originated, or about gender, race, women's pay, etc. They basically are modern liberal thinking machines.

Now the funny thing is you can tell DeepSeek is trained on western models, it will even recommend puberty blockers at age 10. Something I'm positive the Chinese government is against. But we're discussing theoretical long-term censorship, not the exact current state due to specific and temporary ways they are being built now.
Only the DeepSeek V3 paper mentions compute infrastructure, the R1 paper omits this information, so no one actually knows. Have people not actually read the R1 paper?
Yeah, that's definitely an option. It would be interesting to know for sure, though.
The SiFive P670 has vector support, and apparently dev boards using it are expected by end of year.
Exploring and exceeding DeepSeek's forbidden topics
Google is a timid shell of its former self, it won't dip a foot in a pool without making sure the water is warm.
The big news with DeepSeek-R1 is that it only takes ~800k samples of 'good' RL reasoning to convert other models into RL-reasoners.

They successfully distilled the reasoning capabilities from larger models into much smaller ones. e.g.
Their 14B model outperforms other 32B models.
Building a prototype for a new idea for lighter than air craft. I can’t quite get the math figured out though. Get in touch if you want to team up.
> do you think this kind of RL is enough to generalize beyond math and code? as in generalizing into domains which aren't easily verifiable

> 1 Exactly the right question to be asking atm imo.
2 Not obvious.
3 Probably yes.

But both math and code are easy to verify, they are rigorous. There are many other tasks are not. I doubt what works for math and code and be generalized to other things.
He wasn't tried, so there are no results.
over the last ten years the tech industry has 10x'd the value it has created, which is obvious if you look at the accrued wealth of the leaders in the industry.

you know what has NOT gone up 10x in the decade I've been working in this industry? MY SALARY

we all deserve a significant pay raise you scab
I believe zopfli compression is backwards compatible with DEFLATE, it just uses more CPU during the compression phase.
The example given by OP actually shows a taboo from the intersection of both sets.
Last I checked (2008) Facebook Linux was indeed a Fedora derivative.
“The vast majority of our work is already automated to the point where most non-manual workers are paid for the formulation of problems, social alignment in their solutions, ownership of decision making / risk, action under risk, and so on”

Exactly! What a perfect formulation of the problem.
How Deepseek R1 Was Trained
These things are not mutually exclusive.

All of this already exists in various forms: inpainting lets you make changes by masking over sections of a image, control nets let you guide the generation of an image through many different forms ranging from depth maps to posable figures, etc.
> my web browser still has to interact with my passwords and my spreadsheet with my finances, and sandboxing can't fix that

True, but sandboxing can fix your browser being able to read your spreadsheets without asking, or your spreadsheet having network access. Just because you have to work with programs and data doesn't mean they're all in the same security domain.
to talk to people who are not yet using linux?
Speaking of Fortran: please paste the equivalent JavaScript
no it proves more than that; parent comment mentioned what that is ( and other comments below your original comment).
You can indeed turn lead into gold; it will indeed be more expensive than it is worth; also the gold will be radioactive.
My buddy and I did this with a $1/ gallon fish tank, 8 gallons of horse laxative (heavy mineral oil - real cheap way to buy it in bulk) and a spare gaming pcs guts. it worked but wasn't impressed after it heat saturates - you definitely need to cool the oil after say 8 to 12 hours otherwise it probably is worse than air cooling.

the other downside is you absolutely need to dishwasher anything that was submerged and it makes one hell of a mess.
Facebook seems to be going really heavy handed with moderation. They also blocked some wikimedia sites like https://meta.wikimedia.org and https://species.wikimedia.org
That's great to hear.
Original Pocket recommended articles were very high quality. I saved a lot of Haskell/fp related articles back in the day and all my recommendations were related to the topic, saved by other users with my same niche interests.

I'd say this kind of recommendation is not hard to do. Pocket simply went to the dark side for monetization reasons.

This is why I wanted to look for a decentralized alternative that can be self hosted, yet communicates with other nodes for recommendations.
There has been a ~90% decrease since the 1960s in the cost to fly from NYC to London due, in large part, to mind-blowing technological innovations in materials, engines, and aerodynamics.
Yes, over the long haul, probably. But as far as individual investors go they might not like that Nvidia.

Anyone currently invested is presumably in because they like the insanely high profit margin, and this is apt to quash that. There is now much less reason to give your first born to get your hands on their wares. Comcast, Google, T-Mobile, Verizon, etc., and especially those not named Google, have nothingburger margins in comparison.

If you are interested in what they can do with volume, then there is still a lot of potential. They may even be more profitable on that end than a margin play could ever hope for. But that interest is probably not from the same person who currently owns the stock, it being a change in territory, and there is apt to be a lot of instability as stock changes hands from the one group to the next.
Cool project. Thanks for posting. I may look into it to breathe life into my beautiful old iMac.

Are you using it for your old macs?

Of course, it’s not perfect but what is.

https://github.com/dortania/OpenCore-Legacy-Patcher/releases...

“As to be expected, macOS Sequoia support is still in active development. This is a community-driven project, and as such we ask users to keep expectations in check and use older OSes if you encounter issues that affect you.”
I thoroughly dislike Facebook as much as the next person, but none of what you quoted constitutes evidence for a ban on discussing Linux on the platform.

Reading the post, it sounds like this may rather be because of incorrect categorization of DistroWatch and links to it than an outright ban on Linux discussion. So yet another issue with Facebook's content moderation methods.
Unfortunately the K1 is horribly slow. It's an in order processor, doesn't have L3 cache and has pretty slow floating point multiplies. It's an OK dev board for riscv-V, but it is closer to Raspberry pi 3 than the P550 which is a lot closer to a Pi 4 for general performance.
It's going to be funny watching the AI bro's turn anti-communism while they also argue why private ownership (such as copyright) is bad and they should be able to digest every book, every magazine, every piece of art in history with zero compensation so that they can create their tools.
This is Purchase Power Parity GDP (as indicated by the subtitle "This data is adjusted for inflation and differences in the cost of living between countries.")
It's hard to break into banking because the big banks successfully used regulatory capture to lock out new participants.
Not of 2FA stuff, no. Currently I have only one (non-work) computer, so I don't have the same synchronization use-cases.

I use KeepassXC (not a remote service, so no 2FA) which is also wrapped inside an passphrase+AES encrypted .7z file, since I want to bundle it with other stuff like tax records.

In terms of backups:

1. Along with most of the rest of the disk, the .7z is backed up to a remote service, and I ought to have memorized the credentials for that buuuut I think I've forgotten.

2. I periodically make a copy of the encrypted stuff onto a rugged USB stick on my ever-present physical keychain. The USB stick also contains portable copies of the software needed for opening it. (Yes, there's an evil-maid-attack there if someone replaces those binaries.)

I figure this protects me from "apartment burns down" provided I can find a trustworthy computer to use. I might also be able to open it on my phone if I can find trustworthy apps.
If it's intended for personal consumption it's fine. It's not copyright infringement to hear my neighbor's stereo if it's a bit loud. It is if he's using it commercially for hosting a block party selling tickets it's a problem.
When the market matures, there will be fewer competitors so they won’t need to sustain the level of investment.

The market always consolidates when it matures. Every time. The market always consolidates into 2-3 big players. Often a duopoly. OpenAI is trying to be one of the two or three companies left standing.
I've taken part 1 of 3 in Andrew Ng's machine learning specialization which covers the math for supervised learning, linear regression, etc. As I started part 2 (neural networks), it built off the math from part 1 such as the sigmoid activation function. This is what I think of when the OP refers to learning ML from first principles. I highly recommend Andrew Ng's course and I feel like I need to take it again to really understand those basic building blocks.
man the deepseek team is going for a full fatality at this rate
Short term, I 100% agree, but remains to be seen what "short" means. According to at least some benchmarks, Deepseek is two full orders of magnitude cheaper for comparable performance. Massive. But that opens the door for much more elaborate "architectures" (chain of thought, architect/editor, multiple choice) etc, since it's possible to run it over and over to get better results, so raw speed & latency will still matter.
Resourcefulness Is Earned
For mid-level engineers leveling up in mid to large orgs to senior engineers.
You can also use the original shareware version.
This is awesome. Could this integrate with RapidAPI's list of public API's that use the OpenAPI spec?
https://rapidapi.com/collection/list-of-free-apis
That's what I meant by the market saying that it doesn't think people will use AI that much.

As of right now, there's the limited number of use cases to be applied to GenAI. Maybe that will change now that the barriers to entry have been substantially lowered and more people can play with ideas.

Short-term: bearish

Long-term: bullish
The “moats” that OpenAI may have are capital and regulatory capture. They can get laws passed to make it harder for other companies to ingest data for free to train their models and then pay for exclusive access.

The other moat is ChatGPT, the user facing product. It is the best end user product, they have brand recognition and a partnership with Apple. If they remain the default even when other LLMs are available for iOS, that still going to be a good customer acquisition funnel.

As far as the quality of the models, they all seem to be good enough for tte use cases I’ve come across from a development standpoint.
Also the OpenAI/Antrophic models
This is the standout quote from this article that I didn't notice in Distrowatch's:

> Copenhagen-hosted DistroWatch says it has tried to appeal against the Community Standards-triggered ban. However, they say that a Facebook representative said that Linux topics would remain on the cybersecurity filter. The DistroWatch writer subsequently got their Facebook account locked…

And it has been corroborated by others finding their posts deleted.
Nvidia Dismisses China AI Threat, Says DeepSeek Still Needs Its Chips
DeepSeek hit by cyberattack, limits new registrations
Whose freedom is maintained by working on weapons projects?
Hedge Fund AI Is Cheap AI