skysight-inc/HackerNews huggingface dataset:
Seems like a big deal, but pretty much the only data ticketmaster would have is a stored credit card, address, name, and purchase history. Right? Perhaps passwords are valuable because many folks reuse them across sites.

I don't see appreciable movement in their stock at all.
Retro.
The cosine distance between Shawn and Sean
Hi everyone.

I had an interesting interaction with someone named Shawn (or was it Sean?) and it led to a blog post on embeddings, one of the foundational concepts for AI/ML. The post explores embeddings and cosine distance functions with some fun interactive animations. And, all the AI runs inside your browser, even on mobile!

Additionally, this uses my Svekyll blogging tool (https://svekyll.com) which is like the Jekyll blogging tool but adds the power of Svelte. Svelte/Svekyll makes building these kind of interactive blogs much simpler. And, all these posts have a download button at the bottom which allows you to download the entire post as a svekyll blog. You can just "npm i && npm run build" to build it yourself, learn about the code used to generate the post, and tweak to your hearts content if you want to repurpose the blog contents.

Would love to hear comments or suggestions. Thanks to my real friends Shawn and Sean for providing feedback. Shawn provided a discount code for the AI.engineering summit coming up (but to be very clear this is not a paid post in any way, it truly arose from a missed email connection that spawned me to think about embeddings).

Hope you enjoy it.
Scientists find largest known genome inside small plant
i get the sense that the solution to this problem is more use of LLMs (running critical feedback and review in a loop) rather than less use of LLMs.

If you can build good tooling around current kinda dumb LLMs now to lower that number, we will be in a pretty good position as the foundational models continue to improve.
I was wondering if these are fly by night kinda random AI startup type companies offering these services.

>we put the claims of two providers, LexisNexis (creator of Lexis+ AI) and Thomson Reuters (creator of Westlaw AI-Assisted Research and Ask Practical Law AI)), to the test

LexisNexis, and Thomson Reuters, those are established big companies offering these services.
this was also quite nice

https://www.youtube.com/watch?v=TbhF7jTLlG4
A lot of people were smithing in the English world. Or perhaps they were just especially fecund.
> Actually it was the Ati Radeon 9500 non pro that could be modded into a Radeon 9700.

Sometimes. At least some of those 9500s were binned parts that showed their broken bits when you modded them. I had one. The screen turned into a kaleidoscope when I tried to play a game.

Was definitely worth a try if you had one though!
What? Are you saying that you think there needs to be some kind of post-mortem because the investors might end up paying less income tax then they would have in some unlikely alternate reality where the deal was a success? That doesn't make any sense at all.
A couple of examples would be reduction of some of the Reagan-era defense spending under the Clinton administration, and partial rollback of some of the Reagan-era tax cuts under the Clinton administration.

Of course these were not complete elimination of programs, but adjustments. And you could argue that there were other reasons besides partisanship, like the end of the Cold War and budgetary issues.
Sounds like an awesome way for an entire professional class to slowly lose their skills.
Similar to the self checkout process at Walmart/HEB etc. One person will be there for any issues and will intervene minimally.
How is the ICANN not financially stable? They literally underpin our entire online economy.
All Zillow does is put you in touch with a real estate agent.
Apps at the scale of what GP describes were often freeware with no ads or tracking back in the day. I remember when PC Magazine would send a CD-ROM full of utilities like that with the latest issue (not strictly free but I was already subscribing). Or when I would search download.com for the specific tool I needed. I even made a free tool for timing debate tournaments in high school, which was similarly complex to the timer you need to subscribe to in the app store.
What's the hallucination rate of human lawyers? Spent $1,400/hour on a series of unusable drafts just the other day.
> They provide enough information (unfortunately) to identify the employee whose credentials were stolen, and she's a Sales Engineer.

I'm not previously familiar with Hudson Rock, nor how "standard" disclosures around this work, but identifying the breached employee felt like an extremely shitty move to me. If a single infected laptop of a sales engineer (i.e. not even an admin with extensive access rights) resulted in a breach this large, the root cause problem is not the sales engineer - and I'd note that Hudson Rock says as much in their article.
I am a big fan of this, however since it doesn't do state taxes I will be forced to continue using freetaxusa since they do federal for free and charge a modest fee for your state filing. I hope that more states will follow the federal governments example and start allowing free filing online.
Show HN: I made a fun open-source sample player
I don't think it's at all reasonable to say that https://worldledaily.com/ is typosquatting https://www.nytimes.com/games/wordle/index.html
It's surprising that SnowFlake didn't pay the $20M ransom. Seems like a no-brainer compared to the reputational damage this would cause.
Or they had no idea and assumed that customers had a breach, so blamed them without doing a proper in-depth analysis.

The hacker alleges that they weren't even expiring refresh tokens, that is pretty huge if true, it's just a massive, glaring issue.
"Too cheap to meter" means too cheap to meter, not free. Like residential internet — I pay for infrastructure, but my usage isn't metered. In some places water is that cheap, for example.
Discussion [0] (140 points, 1 day ago, 51 comments)

[0]: https://news.ycombinator.com/item?id=40526488
Building Crash-Proof Apps on DBOS
How was the dried code to own and maintain before and after? Was there pain before, and did it go away? Or did the operation prove to be more of a nitpick/bike shed? How long did you stick around with eyes on the code?
The whole AI workflow sounds incredibly backwards - you give all these creative tasks to computers, which are notoriously bad at creative tasks, and then the drudgery of verification and review goes to humans, which are notoriously bad at verification and review.
Can UBlockOrigin do the same as port authority if I add blocks for localhost and local ips?
"But all the cheap front-end talent is in thick client frameworks, telemetry indicates most revenue conversions are from users on 5G, our MVP works for 80% of our target user base, and all we need to do is make back our VC's investment plus enough to cash out on our IPO exit strategy, plus other reasons not to care" — self-identified serial entrepreneur, probably
You’re right, and thanks to another one of the commenters, I have an idea for how I could do this.

Take my journals, and run a relatively simple word separation algorithm over them.

Shuffle up those words and pay to have them annotated.

Reconstruct the dataset from there.
For commercializing generative AI tools, which needs to happen in order for all the investment to pay off, it absolutely does.

In an adversarial industry like law, where there's often another party actively invested in challenging your work, high error rates in source material translate directly to high risk of failure/rejection in a case or claim.

Putting numbers on the failure rate for current products helps the industry understand whether those products are reliable enough yet and what degree of oversight they require.
You have a pretty loose definition of talking point. It was pretty widely televised that McCain broke ranks with the party to prevent an ACA repeal [1] but ignoring that event there were many attempts over the course of 7 months [2] to replace it. That time could've been invested into literally anything else.

But yeah a lot of things end up being campaign talking points. Like Obama saying they'd enshrine abortion rights into law and uh didn't.

[1]: https://www.npr.org/2017/07/27/539907467/senate-careens-towa...

[2]: https://ballotpedia.org/Timeline_of_ACA_repeal_and_replace_e...
Car buyers aren't always so dumb. When we bought our car, I was fully aware that major updates to models happen only so often. We bought used (of course), and the "major update" was our major criteria, more so than the specific year release date. (We bought a 2014 model in 2018; the year they released significant safety improvements compared to the 2013 model.)
Fellow millennial, I also hate using the phone for anything, but very often a business provides no other interface to resolve my edge-case issue. Connecting to a human representative to discuss the situation ends up being the only way to resolve it. If they have a [solve my specific problem] button on their website, I'll use that, but often there is no such button.
On the other hand, marriage has an error rate significantly higher than that and is still considered perfectly reasonable
I just got a Framework 16, installed Ubuntu 24.04 on it, and have been going through this exact struggle after avoiding it for many years. The screen DPI is just high enough that it's uncomfortable for me to use at 100% scale, so I set it to 125%, but any non-Wayland application would get artificially resized and look blurry.

There's a pending Mutter MR[1] to allow XWayland applications to handle the scaling themselves (which IntelliJ IDEs can do) but it hasn't been merged yet, and I'm probably never gonna see it on 24.04 anyway. Apparently KDE already supports this, but the Gnome folks have been reluctant to adopt the same approach.

I ended up going back to 100% scaling, increasing the system font size, and then setting `GDK_DPI_SCALE=1.25` in `/etc/environment` to tell all GTK programs to increase their scale. It's not perfect, but most things are the right size. I definitely would not have wanted to switch to Wayland any sooner than this though. Transitional periods are such a pain.

[1]: https://gitlab.gnome.org/GNOME/mutter/-/merge_requests/3567
I know LLMs and genAI are trendy and they seem espectacular and work like magic, but maybe they are not the tool for every problem. I can see them working fine in a lot of aspects/problem, but that doesn't mean they will work fine in every aspect that involves text, even if they are refined, etc.

I guess once the fashion passes (probably not soon, unfortunately), people will see the real value of LLMs and will start applying them to problem that are solvable by them, and not absolutely everything.
Totally agree. It feels like we've barely scratched the surface.

I'm working on a project where I'm experimenting with pretty obvious things like removing the annoying markdown syntax all the LLMs show you for a split second and smoothing out how it renders the characters to match your frame rate.

https://llm-ui.com/
Hence the excitement behind investing in AI legal tools.
Would you say the same thing for bicycles, in places without dedicated bicycle lanes?
Since the two easier options of transferring data directly via the modem or connecting the hard drive were not explored properly, nor the third option of much bigger font size (let it take 8 overnight hours for large easily OCRable text?), maybe adding some kind of parity check could've helped restore audio perfectly?
Oh crap, you're right. Sorry about my tone earlier. What I didn't consider properly is that the leverage ratio goes down over time as your equity in the house increases. So even though you start off with a leverage ratio which allows you to beat the returns from the non leveraged stock market investment, after some point the leverage ratio goes down below that point.

I tried to do the math now (independently from your calculations) and I ended up with the number 16 as "years after which the stock market 11% return has beaten the leveraged 4% return". I think your calculation result 23 is different from 16 because it assumes the loan can be kept as "free money" instead of paying it back.

$20.000 * 1.11 ^ 16 - $20.000 ~ $86.218

$100.000 * 1.04 ^ 16 - $100.000 ~ $87.298
Whoops yes, got them mixed up. Same sentiment, though.

Keep in mind your coworkers are the ones who passed the interview. How much hiring have you done? 199/200 of applicants not being able to code is probably an underestimate these days; now that it's so easy to apply for jobs with one click on LinkedIn, Indeed, etc. any job you post will get flooded with resumes from people who are completely unqualified and have literally never held a programming job or have any computer-related education. Can't blame people for optimism, I suppose?

If we jump to the next level of the funnel, to people who have passed an initial resume screen and are doing a phone or in-person interview, I estimate at least 60% of those candidates are still unqualified to hold a position as an actual software developer solving actual technical problems with code, in my personal experience.
Some discussion [0] (38 points, 9 hours ago, 5 comments)

[0]: https://news.ycombinator.com/item?id=40532851
What's the same rate for humans?
> Like I said sorry for offending you.

That's not what you said. You said, "I am sorry you embellished your story and cannot stand when people provide helpful alternatives", which is a blatant insult, not an apology.

> No need to be so hostile.

You've been hostile from the beginning, wrongly second-guessing or criticizing me in every single one of your comments.
Who is the audience for this comment?
All value is subjective. If I’m dying of thirst I will pay anything for a bottle of water.
I would be interested in how specialist companies like Harvey, which is backed by OpenAI, are doing in this space. They're pretty secretive though.
Chevrolet Silverado EV's great range comes at a high cost
Yup...that's my fear.

That and the fact that we're no longer training and leveling up juniors. Companies want to hire just one senior employee and let them use AI as they would a team of junior employees.

But since we're no longer training juniors, we're no longer creating seniors. What happens when there's no one skilled enough to replace those senior employees when they leave?
Not a great article, the tanks are vulnerable to drones, they want to use the tanks as artillery instead of tank v tank, the tanks are vulnerable without air support, some tanks have had operational issues.

I don’t know what they were expecting from the Abrams, but… it’s a tank.
Breakdown wouldn't be bad, but the total would be irrelevant when looking at a list of jobs if we assume we have to go in and validate the math each time.
Note that spousal benefits are also reduced by one’s own SS benefits, so it’s no surprise that this same logic applies to other pensions.
Note it's Mannheim, not Manheim, google will 'understand' this, maybe in the case above, but not with only the city name
Pepper (Cryptography)
Lawyers and programmers are valuable because of the rigor of the precise wording (or code) they write, and this is also where LLM's can screw up.

I wonder if tweaking the randomness factor might help here
Twice scammed: Once by throwing away his life by having an F'book account. Then, the support scam.-
Audit, verify, but also modify.

I don't know why anyone thinks that an AI that just trots out commonplace solutions to legal problems is something that most people even want.

GPTs might be able to do boilerplate basics, but since it cannot actually understand nuance, it's not going to help with really specific things.

Which makes you wonder why a non-LLM system -- an expert system, a database, some sort of DSL even -- isn't better than this stuff.

Why, if there is rigour and precedent, is there not a solution that doesn't start from a foundation of waffle and imprecision?
Which ones specifically? I haven't followed how the individual elements have played out. Many of the elements seem minor, but I don't remember if the CBO broke down which portions would create the deficit. I assume it's the corporate pieces, but don't know which ones.
Maybe you mean "work from an internal model of the world"?
Theoretically. In practice it was much more clunkier.
Ya that was my first thought too. Since they're targeting AI, they'll probably start with the streaming multiprocessors (SMs) and tensor processing units (TPUs):

https://stackoverflow.com/questions/32226993/understanding-s...

https://primo.ai/index.php?title=Processing_Units_-_CPU,_GPU...

I take issue with this though because the DSP/SIMD approach that GPUs and TPUs take is a subset of SMP/MIMD (symmetric multiprocessing and multiple instruction multiple data).

Where this matters is that today's neural networks are built on matrix operations, which is a narrow niche within computer science. A more general approach which would allow for faster evolution of the 20 or so other algorithms in AI would be to use compute clusters to explore genetic algorithms, simulated annealing and all the rest in playgrounds limited only by the developer's imagination. Loosely that would look like a desktop computer with perhaps 1000 or more cores appearing as a single CPU, that could be programmed in a language of choice like Erlang, Go, Julia, MATLAB, C/C++, etc (optionally using containerization tools like Docker). Or like having something akin to AWS EC2 locally.

I believe that this divergence in computing approaches is why Moore's Law ended around 2007 with emphasis switching to low cost and low power mobile and embedded systems. It's also why my heart fell out of programming and I stopped pursuing endlessly more photorealistic game engines that result in everyone making the same game over and over again.

If someone out there won the internet lottery and wants to invest in something truly disruptive, some low hanging fruit might be a highly scaled multicore RISC-V processor (as you mentioned) with 100-1000 cores running over 1 GHz using under 100 watts for under $1000. Targeting 10,000 to 100,000 cores by 2030 and 1 million cores shortly thereafter. That's the level of performance we should be expecting from companies like Intel, had Moore's Law continued. And it shows just how far expectations have fallen, with today's personal computers running little faster than those of 2010 for typical (non-GPU) workflows, tragically at the same price of $1000-3000.

I also wish that Imec would start with a consumer-level superconducting processor for under $1000, but unfortunately today's socioeconomic reality of widening wealth inequality doesn't support that. But it's easy enough to make liquid nitrogen from the air with a liquid nitrogen generator (looks like they start around $4000, that could/should be disrupted to $400 or less). Unfortunately their Josephson junctions still need liquid helium at 4k it looks like. Probably some company overseas will figure out a 77k liquid nitrogen version and bypass IP law, as these things tend to go lately.
I’ve talked with educators who moved states to be able to work in such an environment. They love it, and it attracts families that prefer to avoid pay systems that just focus on seniority.

It’s interesting that you refer to this as a “perverse financial incentive” when we use performance-based metrics in pretty much every industry.
That picture is of the thinkpad he used to receive the faxes. The mac doesn't have an ethernet port. I believe it would have had appletalk that maybe could have connected to ethernet using an adapter.
Even many HN users instantly resort to misdirection via comparisons to humans or nebulous upcoming AGI instead of acknowledging that we have to live with these limitations for the forseeable future.
Clerks are portioned out to read a bunch of this. Judges presumably read their own opinions, as do judges who concur with any opinion written. Mind that reading and writing these things is 90% of their job, 10% is the actual hearings, so imagine dedicating at least 40/hrs a week over months and months over this stuff. I imagine it isn't particularly challenging a workload to write.
Is the quoted range region specific or ”worldwide”?
Discussed at the time:

Testing Sync at Dropbox - https://news.ycombinator.com/item?id=22928726 - April 2020 (25 comments)
I see what you're saying, but that's literally the point. Jesus was hardcore, but that's because he had a mission.

Children understand how to get into heaven. Adults are the ones who have problems with it.

Be nice. Be better. Do your best. Apologize when you mess up. Grow.

If God wants more from you, God will tell you personally, in a way that can't be confused with schizophrenic mania or paranoid delusion.

Anything else is part of some hokey religion masquerading as spirituality.
Just looked up my local California district, it's 185 contracted days. The districts near me seem to range from low 180s to 190. They also get 5 days they can call out for personal reasons(I don't think they roll over), and a handful of sick days that do roll over. If they work summer school, they get paid extra. 30 extra work days is 6 weeks, which most people would say is significantly more and love to have off.
These aren't creative tasks. They're research and summarization tasks. No one is asking a legal AI to write an opera.
> No, because the work of manual transcription is a way of telling if transcribing them is worth doing.

Yes, for a percent of the work. I have spent a bunch of time already digitizing my journals (including a loooong detour where I had to organize them because I didn’t exactly have them in chronological order…)

I have seen and manually transcribed enough of my journals to know I want the rest.

But it’s not worth it to do it manually at this time.

> Orthogonally, maybe building a system is what you really want to do (for many people that would be more enjoyable than revisiting old journal content).

And I do want to build a system to do this, as part of my own personal mind bike.

Thanks for your comment.
The map seems to miscategorize "Tan" from Singapore and Malaysia [1]. The surname Tan is actually the same surname as "Chen" (陳/陈) in Taiwan [2], just pronounced differently. The mapmaker seems to have confused it with another, less common Chinese character [3].

[1] https://en.wikipedia.org/wiki/List_of_common_Chinese_surname...

[2] https://en.wikipedia.org/wiki/List_of_common_Chinese_surname...

[3] https://en.wikipedia.org/wiki/Tan_(surname)
I believe this works differently in the US than Europe, for example. PINs aren't required for my cards which all have contactless chips at this point. Aren't they required for European cards though?
Then maybe they shouldn't be. "Generating" a legal reference and "hallucinating" it are pretty much the same thing. Lawyers need AIs that "remember" legal references or are better capable of "looking them up" on demand. "Generation" is the completely wrong thing to do here. In fact it is arguably the worst possible thing, inasmuch as simply failing would actually be far preferable.

I wouldn't expect a human to be able to just spit out all relevant case law, completely correctly with every last aspect of the citation accurate down to every last digit, based on solely their internal language model either.