MurphyA/hacker-news huggingface dataset:
by seam_carver | 2025-04-30 23:14:20+00:00
OK, admittedly it does look bad on video, but seeing it in person is a totally different experience.

1) Rapidly changing between apps without pressing the manual refresh button is a little unrealistic usage. Also, the ghosting is way less noticeable in person vs the camera recording here. The contrast looks great in person, similar to the contrast of ink of paper.

2) eInk screen technology is way easier on the eyes for me. I can read on it basically continuously. There's no backlight, it's entirely ambiently lit so usage in direct sunlight is easy. The technology works by physically moving ink particles around and looks like ink on paper. there's also optional front lights for use in darker environments but it's usually off.

The top bar is a CSS issue. I forgot to enable the black and white only mode in the einkbro browser. Since I rarely look at top bar it slipped my mind.

Here's what it looks like with black/white mode:

https://imgur.com/a/ootFuzl
by ecnahc515 | 2025-04-30 23:14:38+00:00
Oh, and since he's a public employee, you can look up the current salary and history.

https://hr.oregonstate.edu/sites/hr.oregonstate.edu/files/er...

https://www.openthebooks.com/oregon-state-employees/?F_Name_...

I'll summarize it:

$107k in 2017 and $124k in 2023. I don't know about you, but someone with 17 years experience could easily be making 2-5x that depending on the company and role.
by brianberns | 2025-04-30 23:16:02+00:00
Yes, I use F# with TorchSharp to do machine learning. My most recent project is a Hearts AI that is quite good. Here are some links:

* https://github.com/brianberns/Hearts

* https://github.com/brianberns/MinGptSharp

* https://github.com/brianberns/ModestGpt

* https://github.com/brianberns/DeepKuhnPoker
by segfault88 | 2025-04-30 23:16:14+00:00
This is a quote from Carl Sagan:

> One of the saddest lessons of history is this: If we’ve been bamboozled long enough, we tend to reject any evidence of the bamboozle. We’re no longer interested in finding out the truth. The bamboozle has captured us. It’s simply too painful to acknowledge, even to ourselves, that we’ve been taken. Once you give a charlatan power over you, you almost never get it back.
by lilyball | 2025-04-30 23:16:20+00:00
Opening this starts with 3 countries showing (US, China, and India), overlayed on top of Africa. However, the country shapes are wrong. They're the shapes of their respective countries, but they've been relocated without any mercator distortion. Which means if I try and drag it back onto the country it belongs to, it doesn't fit anymore, as that distorts it (well, India has very little distortion so that one works, but China and the US don't).
by kragen | 2025-04-30 23:16:24+00:00
Here's another excerpt from p. 13. Again, remember that this book is from 106 years ago, so telephones were the height of communications technology, radio was called "wireless telegraphy", and there was no CIA or KGB to blame these experiences on; "a professor" was the closest equivalent.

> The patients frequently connect them [their strange experiences of hearing voices and feeling that others can read their thoughts] with malevolent people by whom they are "watched through the telephone," or connected up by wireless telegraphy or by Tesla currents. Their thoughts are conveyed by a machine, there is a "mechanical arrangement," "a sort of little conveyance," telepathy. A patient said, "I don't know the man who suggests that to me." Another supposed that it might perhaps be done for scientific purposes by a professor. A third explained, "I am perfectly sane and feel myself treated as a lunatic, while hallucinations are "brought to me by magnetism and electricity."
Show HN: mlop – open-source ML Experiment Tracking
by LakeeSiv | 2025-04-30 23:16:30+00:00
Hey HN!

We built mlop (https://mlop.ai), a fully open source (https://github.com/mlop-ai) ML experiment tracking platform, much like Weights & Biases.

Unlike the existing competitors we focus heavily on performance (yes our ingestion backend is in Rust), and top tier user experience, and we are fully open sourced with easy self hosting using docker.

Why did we build this? WandB was misleading about their performance, they say they are non blocking, but in fact, they block user code (see video https://docs.mlop.ai/docs/demo), our logger tries to be minimally invasive and performant.

WandB is a great product, and is far better than the competitors, we believe our product has a shot at tackling WandB (and almost certainly outdoes the competitors).

Migration from WandB is dead simple, our API is compatible with theirs, and we developed our own scripts to easily migrate all of your existing data to our platform (leveraging a dumb security issue that WandB has)

Would love to know your thoughts and feedback on this!
by sidibe | 2025-04-30 23:17:46+00:00
A pet who gets whatever they want and is encouraged to find and do what makes them happy. Feeling important and actually doing things that feel important is nice but if AI is better than you at everything its the best we can expect we can expect with AI.

I get how it can be dystopian to people who live for competition or just need to feel useful but we need to adapt if AI is going to be better than us at any jobs to feel fulfilled with recreation and hobbies. It's doable, retirees have to face this situation with a bunch of additional stress they don't have in the Culture
by orbital-decay | 2025-04-30 23:17:47+00:00
Diffusion models are built around this type of internal lookahead from the start (accurate near prediction, progressively less accurate far prediction, step forward, repeat). They just do it in the coarse-to-fine direction, i.e. in a different dimension, and had more thought put into shortcuts and speed-accuracy tradeoffs in this process. RL is also used with both types of models. It's not immediately obvious that one must necessarily be more efficient.
by TheOtherHobbes | 2025-04-30 23:18:24+00:00
I did indeed fear the worst, and did a WWIII top-up shop to add some extra essentials to my usual disaster prep.

Luckily not needed, but an interesting experience.

We were pretty lucky here. The local big box was running on emergency power from its solar roof, and ATMs and card payments were still working - much to my surprise. Smaller stores were taking cash and the larger smaller stores were limiting access and sending customers around individually with staff with torches.

A lot of people were obviously prep-shopping, but it was controlled and pretty relaxed.

I even had 5G of a sort - intermittent and slow, but I could just about keep up with news updates.

In the end it was a 12 hour blackout, which was more of a major inconvenience than the catastrophe that would have happened if it had taken days.
by XenophileJKO | 2025-04-30 23:18:26+00:00
So my personal belief is that diffusion models will enable higher degrees of accuracy. This is because unlike an auto-regressive model it can adjust a whole block of tokens when it encounters some kind of disjunction.

Think of the old example where an auto regressive model would output: "There are 2 possibilities.." before it really enumerated them. Often the model has trouble overcoming the bias and will hallucinate a response to fit the proceeding tokens.

Chain of thought and other approaches help overcome this and other issues by incentivizing validation, etc.

With diffusion however it is easier for the other generated answer to change that set of tokens to match the actual number of possibilities enumerated.

This is why I think you'll see diffusion models be able to do some more advanced problem solving with a smaller number of "thinking" tokens.
by fuzztester | 2025-04-30 23:18:54+00:00
>Short term yes, but long term it turns people away from YouTube

for some people, like me, for example, it turns them away even in the short term, and also in the permanent term, so to speak ha ha, not only in/after the long term.

because, you know, we know our rights and likes. and we wrong and dislike people who disrespect them! :) choice of rhyming words used for effect, but the point is also true.
by potato3732842 | 2025-04-30 23:20:13+00:00
>I rather have backroom deals when people can make rational compromise,

Along these lines, policy kind of went to shit when they got rid of earmarks.

It used to be some congressman from rural Ohio being able to vote in favor of union stuff his people want but the party doesn't because he knows the bill has some pork for his district to make his people happy so he'll be secure next election.

Now that guy's security next election is all dependent on party funding so he's gotta vote the party line every time and any deviations from the party line are a complex game of favor trading and backroom dealing and whatnot.
by mcv | 2025-04-30 23:20:45+00:00
I don't know if it's related, but I recently started using apps from f-droid. Maybe I should have done that much earlier, but necessity forced ky hand. I just can't find good apps on the Play Store anymore. Everything is enshittified. Even simple SMS apps have ads and in-app purchases. For what!?

F-droid apps are simply better these days.
by GianFabien | 2025-04-30 23:20:56+00:00
Very much depends on where you live or are willing/able to move to.

My perception (and I could be very mistaken) is that globally there is an oversupply of techies in a cooling and shrinking economy. Managements' infatuation with AI snake oil isn't helping either.

I get the impression that your skillset is highly focused and thus rather niche.

If I were in your position, I would broaden my horizons to other domains and seek out adjacent areas. BioTech seems to be one of several options. Of course to gain traction in that field might require biology related knowledge. But that is just one example.

In general, the challenge is find the areas where there is a real demand and figure out how to deliver into those areas.
by connicpu | 2025-04-30 23:22:09+00:00
It's a big plus if you want to write code for it in something like Rust. LLVM support for the architecture they used on their older chips (xtensa) for a very long time required compiling a fork of LLVM and rustc in order to target the chips. It may still, I didn't keep up with the effort to upstream that target. RISC-V is an open architecture that has a lot of people excited so compiler support for it is very good. Though as far as why Espressif is using it, it feels likely they would use it because it means they don't have to pay anyone any royalties for the ISA.
by colechristensen | 2025-04-30 23:22:29+00:00
From the link

>Espressif Systems (SSE: 688018.SH) announced ESP32-C5, the industry’s first RISC-V SoC that supports 2.4 GHz and 5 GHz dual-band Wi-Fi 6, along with Bluetooth 5 (LE) and IEEE 802.15.4 (Zigbee, Thread) connectivity. Today, we are glad to announce that ESP32-C5 is now in mass production.
by pixelpoet | 2025-04-30 23:23:06+00:00
Ah, apologies for my somewhat combative question, and I'm relieved to hear you were on Team Sanity / just because money was spent doesn't make the new system better! So many updates that literally forced several communities centred around dAmn to move... now we have the current diaspora / balkanisation situation, and TBH I think many of us would have preferred to stay on old-dA.

I would love to read what you've written about that; as with Matt Pharr writing about Intel's internal compiler team politics, it's a fascinating insight into how some orgs are run.
by rayiner | 2025-04-30 23:24:26+00:00
> What other laws are there that might limit his conduct? I’m of the understanding that where we are now is the only potential check on Presidents going forward is impeachment and removal from office. It’s a blunt instrument, but apparently there are no other applicable mechanisms.

The primary check on the President is elections, not “the law.” Secondarily, there’s impeachment, and Congress’s power of the purse. Those are the main checks on the executive.

We have this 20th century conception of “the rule of law,” where we imagine this neutral, independent “justice system” as the base layer on top of which the elected branches operate. Like the lowest level of an operating system kernel. But if you look at the debates at the constitutional convention, and read the federalist papers and anti-federalist papers, that’s not the system the founders actually created. The founders didn’t trust anyone to neutrally enforce the law. You won’t find anywhere in those primary sources where the founders envisioned some “rule of law” where private litigants use the court to micromanage executive policy.

Instead, what we have is a game of rock-paper-scissors, where no branch is assumed to be “independent” and no branch is a “base layer of the operating system.” Courts can declare the law, but can’t force the President to do something. But if the President doesn’t listen to the court, he can be voted out of office, or impeached, or Congress can withhold funding for the administration. That is a complete system of checks and balances as it is.
by wavemode | 2025-04-30 23:24:36+00:00
You're talking about two very different sentiments. People see leaving the EU as a foolish decision. But Britain has every right to make that decision if it wants. I don't know of anyone outside of Britain who "hates" that they left (in the sense of feeling anger or offense).

In fact a lot of the sentiment tends to be more like "good riddance".
by azemetre | 2025-04-30 23:25:14+00:00
You might really like the book, because method they espouse for mastery is to have space varied practice where you reinforce retrieval of concepts during practice. Retrieval here meaning being able to correctly use information that you learned.

That's basically the core tenant of the book, it's basically trying to instill that the best pedagogy.

There was an interesting section IIRC about airline pilots and how they intersperse learning the various protocols compared to getting them in simulators ASAP.

I thought I still had the book but I think I read it from a library now as it's not in my library. I feel bad for wanting to post a youtube summary, but this reddit thread is more concise:

https://www.reddit.com/r/step1/comments/ebpl5a/few_principle...

edit: after reading everything I think I took flash cards under the wrong context and really wish I had the book now.
by cratermoon | 2025-04-30 23:25:33+00:00
> My go to puzzle is this:

> Mercury gets this right - while as of right now ChatGPT 4o get it wrong.

This is so common a puzzle it's discussed all over the internet. It's in the data used to build the models. What's so impressive about a machine that can spit out something easily found with a quick web search?
by afavour | 2025-04-30 23:26:51+00:00
> Rogers’ 2021 ruling forced Apple to allow developers to point to alternative payment options. But Apple instituted a policy that demanded developers pay Apple a 27 percent commission on those purchases

> The judge also referred the case to the US attorney to review it for possible criminal contempt proceedings.

Of course in the current climate who knows if anything will end up happening but all the same: good. It’s about time we started to see consequences for blatantly deliberate misinterpretation of court rulings.
by x0x0 | 2025-04-30 23:28:13+00:00
LLCs / agent: to keep your address private. In most states LLC-associated addresses are a matter of public record. So if you care about privacy / crazies, app stores are far from the only place that lists that address.

ipostal1: It's basically a software layer over stores that offer various services. I've had no problems with the address. Most places offer a check deposit service.
by ahartmetz | 2025-04-30 23:28:57+00:00
Actually kinda impressive that a current CPU is "only" 9 orders of magnitude from the ridiculously low theoretical minimum energy needed per "floating point operation" (kinda fuzzy, but who's counting at 9 orders of magnitude?). The efficiency difference between the first computers and SOTA CPUs is probably more than 9 orders of magnitude - actually, it seems to me that it's in the ballpark of 9 orders of magnitude.
by filoleg | 2025-04-30 23:29:13+00:00
Sure. What was the rate of homebuilding to job growth in NYC and other major metro areas in the US?

I am not trying to be snarky, I actually agree with you. I just simply don't have that data on hand right now. But I am aligned with you in suspecting that the rate of home building to job growth would be a better indicator of the real housing market change (as opposed to the ratio of new residential units/1k residents or, to a lesser degree, raw numbers of new residential units).
by AlexCoventry | 2025-04-30 23:29:28+00:00
> it can adjust a whole block of tokens when it encounters some kind of disjunction.

This is true in principle for general diffusion models, but I don't think it's true for the noise model they use in Mercury (at least, going by a couple of academic papers authored by the Inception co-founders.) Their model generates noise by masking a token, and once it's masked, it stays masked. So the reverse-diffusion gets to decide on the contents of a masked token once, and after that it's fixed.
by manusleak | 2025-04-30 23:29:36+00:00
I found a critical security flaw in Manus.im, a platform for building autonomous AI agents.

Using their exposed code-server environment, I accessed: - Root filesystem - API tokens and secrets - PyRSA tools (in production) - Internal logic, configs, and backend APIs

But here’s the unique part: I used their *own AI agent* to write the full security disclosure report. Then I *deployed that report using their own backend* — still live right now:

▶ https://rfvugofs.manus.space/

They have not responded after 72 hours of responsible disclosure.

This may be the first documented case of an AI system publicly leaking itself.

Would love your thoughts.
by dmos62 | 2025-04-30 23:31:49+00:00
If the benchmarks aren't lying, Mercury Coder Small is as smart as 4o mini and costs the same, but is order of magnitude faster when outputting (unclear if pre-output delay is notably different). Pretty cool. However, I'm under the impression that 4o-mini was superceded by 4.1-mini and 4.1-nano for all use cases (correct me if I'm wrong). Unfortunately they didn't publish comparisons with the 4.1 line, which feels like an attempt to manipulate the optics. Or am I misreading this?

Btw, why call it "coder"? 4o-mini level of intelligence is for extracting structured data and basic summaries, definitely not for coding.
by ivape | 2025-04-30 23:31:50+00:00
Chamath is one of the All-in podcast members, and that entire group has an outsized role in American politics at the moment. There is a podcast that is targeted toward the youth, and Chamath was basically there regurgitating and promoting the current Administration's tariff policies (David Saks is part of the Admin too).

https://www.youtube.com/watch?v=EmDt_zAlL8E

You have to follow their whole entire game, it's multi-faceted. They are not just sitting around in a group chat, they are out there doing the leg work. What's a Silicon Valley VC doing on a youth-oriented podcast promoting the Administration's policies like this?

Edit:

I was actually fooled by the All-In podcast because I actually believed it was just business oriented podcast, but man these guys are totally knee deep in politics, they've leveled up. They have an agenda.
by ToucanLoucan | 2025-04-30 23:32:32+00:00
Incredible experience with this: our App Store account was from an acquired company that was no longer doing business. The Apple representative requested documentation that the no longer in use LLC was in fact, no longer in use.

When I requested what documents they might think a defunct LLC was creating that would prove it was defunct, they didn't have an answer. Same as others we ended up just making a new fucking developer account.

Hell of a first project as a team lead.
by floxy | 2025-04-30 23:34:02+00:00
>mechanical logic (which works by moving around baryons) can scale down further than electronic logic, which is already running into Heisenberg problems with current semiconductor fabrication technology.

I think I must be missing something here, I thought this was working with atoms. Are you saying that someday mechanical logic could be made to work inside the nucleus? Seems like you might be limited to ~200 nucleons per atom, and then you'd have to transmit whatever data you computed outside the nucleus to the nucleus in the next atom over? Or are we talking about converting neutron stars into computing devices? Do you have a good source for further reading?
by bobmcnamara | 2025-04-30 23:34:53+00:00
It's a mix.

Better compiler support for RISC-V, but everything I've seen from them is a much shorter pipeline than the older Xtensa cores, so flash cache misses hit it harder.

Both RISC-V and Xtensa suffer from the lack of an ALU carry bit for the purposes of improving pipelining. But for these small cores it means 64-bit integer math usually takes a few more cycles than a Cortex-M Arm chip
by anigbrowl | 2025-04-30 23:35:21+00:00
This is a general cultural problem with liberalism at present. My social media timelines are absolutely full of Serious People analyzing how we got here and situating our present condition in historical and theoretical context. And they're mostly right! but what's lacking is any discussion of what to do about it. Even advocacy for legislative remedies or mass strikes are mostly dismissed in favor of throwing up hands and waiting for the midterm elections, as if the outcome were assured and a repeat of January 6 2021 were unthinkable. I can only conclude that a large part of the populace either can't believe what's happening or can't comprehend the implications.
by omneity | 2025-04-30 23:35:51+00:00
Looking at the Persian IPA table[0] for the letters you wrote, we get `/ʒ/` for `ژ` and `/tʃʰ/` for `چ`

In Arabic[1], there are two close phonemes: `/dʒ/` for `ج` and `/ʃ/` for `ش`

The difference in both phonemes is minimal and are practically affricates[2] of each other (where `d` or `t` can precede a `ʒ` or a `ʃ`), so it seems these sounds are present in both Arabic and Persian.

These variations are also within the dialectal distribution of either languages. For example `ج` is pronounced `/dʒ/` in Algeria and `/ʒ/` in Morocco.

0: https://en.wikipedia.org/wiki/Help:IPA/Persian

1: https://en.wikipedia.org/wiki/Help:IPA/Arabic

2: https://en.wikipedia.org/wiki/Affricate
by AlexCoventry | 2025-04-30 23:36:25+00:00
DeepSeek claims they had 12% more Chinese tokens than English, in their training corpus for DeepSeek V2, FWIW.

https://arxiv.org/pdf/2405.04434#page=12

> Our tokenized pretraining corpus contains 8.1T tokens, where Chinese tokens are approximately 12% more than English ones.
by kragen | 2025-04-30 23:37:02+00:00
That's clearly feasible; the mechanical complexity for a mechanical computer is on the order of a Curta calculator, and I outlined some promising approaches to macroscopic mechanical digital logic 15 years ago in https://dercuano.github.io/notes/mechanical-computers.html. Since then MEMS has advanced significantly and gone mainstream, and photolithographic and reactive-ion-etching-based silicon fabrication has been used for other purposes, including watchmaking, with macroscopic silicon flexure components going into first TAG Heuer's Guy Sémon's Zenith Oscillator in the Zenith Defy Lab https://www.hodinkee.com/articles/zenith-defy-lab-oscillator... and then mainstream watches:

https://wornandwound.com/no-escapement-an-overview-of-obtain...

https://monochrome-watches.com/in-depth-the-future-of-silico...

https://www.chrono24.com/magazine/innovative-escapements-fro... (warning, GDPR mugging)

https://www.azom.com/article.aspx?ArticleID=21921

https://www.europastar.com/the-watch-files/those-who-innovat...