skysight-inc/HackerNews huggingface dataset:
I think it is reasonable to assume that the immune system would have to work harder against mirror pathogens. Straight toxicity might be another important consideration.

On the other hands mirror amino acids already exist in nature, so I find the argument that a mirror bacteria would rampage the ecosystem unchecked sensationalist. Click-bait even. More likely than not, the mirror bacteria itself would be heavily outcompeted in the wild.
There's another important contender in the space: Hunyuan model from Tencent

My company (Nim) is hosting Hunyuan model, so here's a quick test (first attempt) at "pelican riding a bycicle" via Hunyuan on Nim:
https://nim.video/explore/OGs4EM3MIpW8

I think it's as good, if not better than Sora / Veo
Yep. Still makes me wonder if they are not seeing the truth but just refusing to admit it.
There's a tax credit (IRC Code § 45F) that is capped at $150k/year. It's really meant for small businesses.

> If you provide childcare services to your employees, you may be eligible for this general business credit. It covers qualified expenditures for a childcare facility and for childcare resource and referral.

> The Employer-Provided Childcare Credit offers employers a tax credit up to $150,000 per year to offset 25% of qualified childcare facility expenditures and 10% of qualified childcare resource and referral expenditures.

https://www.irs.gov/businesses/small-businesses-self-employe...
The problem is it’s become an entire of subculture of people, almost cult like, who are not only accepting of euthanasia but are actively pro-suicide. I think a lot of people would still be alive if this community didn’t exist. Most of them seem to have mental issues rather than being terminally ill. Also young people are especially vulnerable to being brainwashed by these sorts of things.
This is my question as well. It seems like there would be someone willing to do this, especially outside the EU.

Finding someone trustworthy is hard, but I know buro9 knows tons of people.
Do we mean we would not see it because it would appear to be a point source which we could not resolve, or do you we could not see it because it would quickly kill us?

If the latter, note that it is 53 million light years. That's far enough that it should pose no danger at all even if aimed right at us.
It's been quite the ride. At first, we took the usual path, investing in ads.

But along the way, we noticed it just didn't sit right with us—it wasn't the best way to truly connect with our users.

Now, we're all about growing naturally and creating real, lasting relationships.
However, a person's retirement investment funds that go to those equity markets in search of bigger paydays are funds that're generally never going to be available to loan for local development in thousands of communities where such a person lives.
Big US banks are federally required to provide local lending to some degree, but overall isn't the effect still a lot like brain drain?
If you come from an angle of ‘I’ve never seen it therefor it’s just whack a mole’ don’t be surprised if people read it as simple rejection rather than curiosity. Using language like ‘Is there a single site?’ doubles down on it.

This article describes social media groups, on the major platforms, that encourage eating disorders https://rollingout.com/2024/10/08/eating-disorder-groups-on-...

Young children being treated for eating disorders as inpatients in hospitals almost always have been in contact with some kind of eating disorder glorification.
ByteDance has their own unlimited supply of videos...
Off topic from the video AI thread, but to elaborate on your point: people believe what they want, based on what they have been primed to believe from mass media. This is mainly the normal TV and paper news, filtered through institutions like government proclamations, schools, and now supercharged by social media. This is why the "narrative" exists, and news media does the consensus messaging of what you should believe (and why they hate X and other freer media sources).

By the time the politician says it, you've been soaking in it for weeks or months, if not longer. That just confirms the bias that has been implanted in you.
Disabling cores that have 100% passed QA is quite commonplace, especially for chips that have been on the market for over a year and thus are being built with yields as mature as they're going to get.

Artificially restricting supply of high-end chips and increasing supply of mid-range chips by disabling fully functional cores is how chip makers preserve their pricing structure. Without doing this, market pressures would force prices down on high-end chips and cause lower bins to mostly disappear from the market, leaving the product line with lower overall margins and a PR nightmare every time a new generation launches with pricing reset back to the initially high levels.

As a rule of thumb: if a chip product line goes a whole year without having new SKUs show up with a higher percentage of cores enabled or higher clock speeds for the same core count, then the manufacturer is artificially restricting supply to make more of the lower-bin parts than naturally occur in the fab output.

> And that correction might be in the form of removing redundancies from the chip design, rather than increasing the supply/lowering the price of higher end SKUs.

Those two courses of action take place on completely different timescales. Disabling cores and other binning tricks can be implemented in no more than a few months. Adding a new chip with a different number of copies of the same IP blocks takes well over a year. Removing redundancy within an IP block (eg. by having fewer spare SRAM blocks for a cache of a fixed capacity) isn't going to happen within a single chip generation.

In the semiconductor world, corrections of any kind tend toward "later" rather than "sooner".
Great time to be on alert for statistical weirdness. One that springs to mind is maybe TSMC attracts higher status men who compete more effectively for the women most likely to have children or something like that.

I don't recall ever seeing a nice rundown of why birth rates have collapsed in the most abundant era of human history but I doubt it is as simple as TSMC offering childcare. People have done more with far less on the children front over history.
Plenty of jobs for coming by to read the logs across 6 systems when the LLM applications break and can't fix themselves.
I hit something similar recently, after installing Debian 12.8 (I think it was 12.8) on my wife's computer, where another Linux version was already installed.

I didn't find the root cause. I know it's a system on which SecureBoot used to be on and was working fine (with an older Debian version). Anyway after installing Debian 12.8, somehow I ended up at that infamous GRUB boot prompt, unable to boot the system.

I "fixed" it by disabling SecureBoot from the UEFI: not my proudest fix but I didn't feel like troubleshooting what had gone wrong (which was certainly simple and dumb). So Kudos to TFA's author for spending the time to troubleshoot and solve a much more complicated issue.
No we’re talking about Apple and the ostensible economic impact as opposed to the humane assessment of outcomes friend, and we can talk about anything from child labor in Foxconn factories to union busting at Apple stores to parts pairing around right to repair before we even get into how fucking illegal the App Store shit is.
> More robust processes protect everyone.

Nobody would argue against that.

They'd argue that the cost isn't worth it or that the protection is not needed or wanted.
Yup. This sort of BS causes me to immediately hit the back button in the weak hope that my action will appear in some metric and cause the site owner to reconsider their tactics.
"You seem to confuse"

"Your analogy with the automakers seems puzzlingly irrelevant"

"Your take is rather romantic."

That's pretty charged language focused on the person not the argument, so if you're surprised why I'm annoyed, start there.

Meta has one:
https://arxiv.org/abs/2410.08806

Another, edited in above:
https://www.linkedin.com/pulse/multi-repo-ai-assisted-refact...

Another:
https://codescene.com/product/ai-coding

However, I still don't recognise the names. The one I saw had no pricing but had worked with some big names.

Edit: WAIT found the one I was thinking of: https://www.youtube.com/watch?v=Ve-akpov78Q - company is https://about.grit.io

In an enterprise setting, I'm the one hitting the brakes on using LLM's. There are huge risks to attaching them to e.g. customer-facing outputs. In a startup setting, full speed ahead. Match the opinion to the needs, keep two opposing thoughts in mind, etc.
When Lock-Free Still Isn't Enough [pdf]
From Amazon: https://smithy.io/2.0/index.html (internally known as Coral)
macOS is not really a good OS for running a server anyway, and Docker Desktop is intended for development more than anything else.
There’s several stories of open source projects being handed off to someone who seemed helpful, only to have them turn around and add malware months later.

I completely understand a desire to shut things down cleanly, rather than risk something you watched over for years become something terrible.
I do agree with you and some of those binge eating/fat acceptance pages came to mind.
I can imagine big dicks all I want, if I've never seen one, it's hard to sculpt it accurately. Indeed, me sculpting a perfectly accurate huge dick, veins and all, almost certainly means I've seen at least one.
Forgive my ignorant question, but if it's that sensitive why not automate it with robotics and vacuum seal it?

I understand that this is a sensitive process but so is surgery which robots are able to do with remote control.
> People are already good at picking out AI text, and AI video is even easier.

Source? My experience has been that people at most might be “ok” at picking up completely generic output, and outright terrible at identifying anything with a modicum of effort or chance placed into it.
Yep, quite correct.

I am even fixing one small app currently that the business owner generated with ChatGPT. So this entire discussion here is doubly amusing for me.
50 million is chump change for Facebook. In a fair world, we would have competition against facebook and there would be choices for consumers. In this real world we are stuck with the bottom feeders like facebook which just works with impunity.

Not only did facebook lose all the data, it disabled customer support chat in Australia for all services including advertising.

Our company fb account (for travelers) was disabled due to "Suspicious activity" and then permanently deleted. But they conveniently left the ad account on which we can neither login nor disable. If we do a charge back, Facebook will instaban the instagram account as well and in process we could lose our 16 year account.

There is a huge group of such people here https://www.reddit.com/r/facebookdisabledme/

Both reddit and facebook belong to trash of history (for different reasons)
a) In what universe would any attorney take up a lawsuit against a moneyed company with nothing but testimony from one person?

b) I made none of those other arguments and they're irrelevant to my single-sentence question.

c) If testimony doesn't impact trials and it's all a matter of competing paperwork, why do we have testimony at all? Well, juries for one. Court cases aren't merely about dispassionately weighing competing facts: they're adversarial pursuits of persuasion.
Usually active blackholes produce two jets, above and below the accretion disk.
They cancel each other out.
I am the author of this blog post and I didn't expect to see it on the front page! For disclosure, I work at Turso and one of the authors, Pekka, is from Turso.

This paper came out in April 2024 when Limbo was in its nascent stages. It has seen many improvements since then, one being support for Deterministic Simulation Testing.

repo: https://github.com/tursodatabase/limbo
Next do Gertrude's Secrets and Robot Odyssey please.

Amazing work.
They built the supplier global and local ecosystem and they have a local pipeline for engineering and technician talent. The US has good graduate and university systems but the industrial culture is different and you see that in operations. There are different workplace incentives.

They’ve been working for a long time to reach this superior position and made good decisions business partners and investments along the way. These investments in local national economies take time, decades. I agree with you, IP is reductive where I think there is a combination of tangible and intangible factors, trade secrets, talent, operational discipline, management and long term thinking.

It’s hard to see in present time, but it becomes clear in retrospect when the winning companies started making failing decisions while on top. Then doubling down on those poor decisions or switching strategies too frequently to make an effect.
Also TSMC pays far far more than Intel on a PPP basis for the same role so it's not like Intel can poach that talent.

Intel: USD$77k for a hardware engineer role (low i know - Intel have had 20years of wage freezes and they has an across the board wage cut last year). Link: https://www.indeed.com/cmp/Intel-Corporation/job-titles/Inte...

TSMC: Pays the Taiwanese equivalent of USD$58k for the same role. Link (in NT$ but conversions easy): https://www.salaryexpert.com/salary/job/signal-integrity-eng...

Now before you say aha! that's less on a direct dollar to dollar comparison remember that Taiwan has slightly better than 2x rate of PPP.

Contrary to what a lot of people seem to think, TSMC in Taiwan has better pay, working conditions and benefits than Intel in USA. The childcare mentioned in the article is one such example as is the pay i just mentioned. This has been true for a long time now. Intel is the primary Western competitor and they don't compete for talent at all. They haven't done for a long long time now.
Qt hails from the era when software was routinely measured in megabytes, so it's designed with that in mind. I suspect that it's QML specifically that contributes the most bloat in this case.
Agreed that modelling it as a "pathogen" is missing the mark.

But predatorless photosynthetic self-replicating gray goo that grows exponentially across the planet, resulting in a drastic change in CO2 and oxygen levels across the globe? Wouldn't be the first time. [1]

[1] https://en.wikipedia.org/wiki/Great_Oxidation_Event
Finance is basically all of the reasons not to use (generative, LLM based) AI , all in one vertical. The poster child of determinism.
They also have a nice piece of hardware you can buy if you want an appliance that just works: https://www.home-assistant.io/green
In network! I considered challenging it, but the amount was small enough to not be worth my time.
What's scary about mirrored DNA? DNA is information store proteins are actuators.

> would have to evolve an entirely new set of proteins from scratch.

Mirrored amino acids already exist in some organisms.
You can get mDNS working in Docker, but IMO it's much easier to give up and use host networking. It is _very_ difficult to get mDNS working in K8s.
Your Blood Pressure Reading Is Probably Wrong
In parts of Victorian England, there used to be up to daily five deliveries. I wouldn't be mad if USPS dropped Saturday mail and weekend package delivery. Leave that to the "extremely urgent" private couriers.
I would suggest you read Strobelt and Gehrmann _Catching a Unicorn with GLTR: A tool to detect automatically generated text_ (2019) http://gltr.io/
That's not the definition I see most people using. Plenty of tool calling going on purely to structure an output, which could also be achieved by prompting.

For me, agentic means that at least at some stage, one model is prompting another model.
Supremacy Debates: A Transcript
No they’ve been acquiring layers upon layers of middle management for a decade.

That’s the core issue, and they’ve also pissed off a non-zero percentage of top talent by ditching what still existed of Google culture and going full “Corporate Megacorp” a few years ago.

Google is having to pay a ton to retain the talent they have left and it’s often not enough.
oh great so you centralize even harder and that will fix everything?
You raise a good point but I think it’s actually a great argument for the corruption. Modern cloud compute is priced at such absurd margins that AWS subsidizes the price dumping of the whole Amazon retail business: there’s a reason Jassey is second only to Bezos in clout.

When vendors 1-5 are all running 20, 30, sometimes 50 percent margins while their share varies from like 40% to like 5%?

That’s called price fixing.
AMD's acquisition of ATI was a net detriment to AMD for at least a decade. They ended up with a ton of debt, had to sell off their fabs but still had to use those fabs even after they were uncompetitive, and struggled to field high-end products in either CPU or GPU product lines. They didn't start to reap significant benefits from having both product lines under one corporate umbrella until they started scoring design wins for game console SoCs, and those provided sales volume but not much profit margin.
People who think this law is reasonable are bonkers.
Backpropagation happens after some number of inferences. You need to infer to calculate a loss function to then backprop from.
Four corner code is foundational to modern hash tables and helped with collision resolution.
So they managed to screw up even that. The naming system is not idiomatic Go.

You still will need to create temporary objects (performance...) and for an unclear gain.
The difference is there is competition now.
Very accurate. So much of succesful (from company PoV) real-world LLM use is about replacing employees. HN is still far too skeptical about how much this is in fact happening and is likely to accelerate.
Does this mean DNA is not really a double helix? It gets twisted because of the method of extraction?
If you search slang for anorexia and bulimia (ana and mia, respectively), it comes up. The slang helps remove the stigma and feels more friendly/cool. Thinspo/thinspiration is another term used by that community. "Help me love ana".

With that search, there are sites that come up [1]. These terms are also used on reddit, instagram, etc for people to share tips (to be better anorexics/bulimics).

[1] https://strongerinana.weebly.com/index.html
They do their best but they can't seal away everything. Raw materials have to enter, chips and waste come out, and the whole thing comes apart for maintenance.

Manufacturing is a game of yields and margins. When you have thousands of operations and inputs, small changes have big effects. TSMC and Intel both have access to the same machines, it's what they're doing with them that differs.
It is also the corollary: we tend to attribute intelligence to things merely because it can have conversations from the first golden era of AI in 1960's that is always the case.

Mimicking more patterns like emotion and motivation may be better user experience, it doesn't make the machine any smarter, just a better mime.

Your thesis is that as we mimic reality more and more the differences will not matter, this is a idea romanticized by popular media like Blade Runner.

I believe there are classes of applications, particularly if the goal singularity or better than human super intelligence, emulating human responses no matter how sophisticated won't take you take there. Proponents may hand wash this as moving the goalposts, it is only refining the tests to reflect the models of the era.

If the proponents of AI were serious about their claims of intelligence than they should also be pushing for AI rights , there is no such serious discourse happening, only issues related to human data privacy rights on what can be used by AI models for learning or where they can the models be allowed to work.
It's also the largest project on GitHub by number of contributors

https://www.home-assistant.io/blog/2024/11/18/event-wrapup-g...
The 4cc gets a decent distribution in that you don't have to examine very many collisions to find the character you're looking for (or conclude it's not found).

A poor distribution is an obvious bug in hashing; if you don't suffer from that bug, you don't have to do anything. If you have the bug, it's obvious you have to change your hash calculation to avoid it. The developers of 4cc may have struggled with bugs where they had buckets that were too large for efficient searching.

Convoluted hashing functions are not always used for hash tables. When hash tables are pointers (e.g. object identities themselves are used as keys to associated objects with additional properties), sophisticated hashing functions are not needed; e.g. simply extracting a few bits of the pointer, avoiding the lowest bits (which might all be zero due to alignment!).

I believe that the 4cc dictionaries hit upon the key insights of hashing: calculating a numeric key from an object which then directly identifies a small search bucket.

The Four Corner Code abandons semantics like radicals. Codes are assigned according to certain stroke patterns in the four quadrants of the character, without regard for their semantic role. The inventors hit a key insight there: that any way of calculating a hash code is valid as long as it can be consistently followed, and leads to short searches. The function can look at meaningless fragments of the object (exactly like when we take the middle bits of a pointer). A character's etymology need not play any role in how it is digested. Whereas in the radical methods, you have to know that for instance 火 and 灬 both mean "fire" and are understood as the same radical #86. So in some sense, the predecessor methods like radical indexing may have been almost-hashing. It's hard to argue that 4cc isn't.
> Hundreds of millions of pounds of Glyphosate is spread across the entire globe.

And none of it is harmful to humans.
Video encoders can vary widely in quality. There are lots of parameters that allow for a wide range of "correct" encodings of the same source video file. Realtime hardware encoders in general have lower visual quality for the same bitrate than software encoders that may be slower but more thoroughly search through different options for encoding each group of frames.

Decoding is much more deterministic, so speed and power efficiency are the main ways hardware decoders can differ.
What's the logic behind that? Porn has had nothing to do with the current AI boom.
Apparently we should be able to see it brightly if it was far away... But if it was close enough will we have time between light & gamma arrival?
Why was that guy fired?
Coase's "Theory of the Firm" is the more serious, less straw-man exposition of these issues.

===

What’s New (If Anything)?
While the article restates familiar Coasian concepts, it adds:

Modern Examples: It applies Coase’s framework to contemporary issues like software outsourcing, tech hiring, and cultural differences in trust and service delivery.
Focus on Culture and "Unreasonable" Actors: It emphasizes how outliers (individuals or firms) push against systemic inefficiencies, which isn’t central to Coase’s theory.
Bottom Line: The article revisits Coase’s foundational ideas without explicitly connecting to them. It’s less a groundbreaking insight and more a modern illustration of why transaction costs and organizational trust matter, consistent with Coase’s theory of the firm.
disclosure: I work at Turso

> code of ethics as almost toxic

This is simply not true. Can you tell me where it is being said so?

> then folding “libSQL into the Turso family” within the year.

libSQL was always part of Turso. So, I don't get your point.

> They forked, played politics, added a few features (with some ill-considered incompatibilities), and properly documented zero of them.

Again this is incorrect. There are some docs here: https://github.com/tursodatabase/libsql/tree/main/docs

I am really not sure why are you so angry about libSQL.