skysight-inc/HackerNews huggingface dataset:
My argument here is that this represents a tipping point.

Prior to LLaMA + llama.cpp you could maybe run a large language model locally... if you had the right GPU rig, and if you really knew what you were doing, and were willing to put in a lot of effort to find and figure out how to run a model.

My hunch is that the ability to run on a M1/M2 MacBook is going to open this up to a lot more people.

(I'm exposing my bias here as a M2 Mac owner.)

I think the race is now on to be the first organization to release a good instruction-tuned model that can run on personal hardware.
feels like 2003 again
The term has been around in this context since at least 2018[1], and indeed I have chat logs from 2019 talking about how mtl [machine translation] hallucinates, so no, this has been what people have been calling it for a while now. Perhaps what you're seeing is just rising awareness that this is a weakness of current-gen ML models, which is great, now even monoglots get to feel my pain :V

[1]: https://www.wired.com/story/ai-has-a-hallucination-problem-t...
Organized crime also routinely work to control government.
In this particular case tax payers would not have to cover any losses at all. The actual losses are relatively small and depositors can and should be asked to take a haircut if necessary. The critical issue here is timing. You don't want viable companies to run out of money just because a temporary liquidity issue cannot be resolved quickly enough.

In general, I disagree that it is never sensible for tax payers to act as insurance of last resort provided that the insurance premium in the form of business taxes is adequate. It can be the least worst solution for society as a whole in case of a domino effect. But this is not (yet) what's happening here.
Tahoe isn't a reservoir
Ooh your site's fancy.

Summary could use some rewording. Maybe something like

> Full stack web dev with experience completing projects on time and under budget and working with other teams. For my next opportunity I’m looking for ...

Skills goes up top, under summary. You want people to know your areas of expertise sooner so they know the rest is worth reading.

Keep education at the bottom.

Since you're coming from a non-traditional background (absolutely no judgement, just means we have to tweak the template is all), my idea is put your work experience and projects in one section. Organize them as relevant to the position you're applying to instead of chronological, with the most relevant up top, so start with Story Factory, then portfolio-v4.0-react (I'd drop the "professional portfolio" and just call it by the github project name) and continue on from there.
I've had difficulty obtaining useful results from the smaller (7B-sized) models. The issue lies in the content, not the speed. If you could stream the text-to-speech, the speed alone would be satisfactory.
> If a single search cost Google 1.2 cents, Google would be paying $44 million a day to cover it. I cannot make that math work, and it makes me reticent to believe them and continue paying.

You don't believe that Google is spending at least $44 million a day on providing search?
Superseded twenty years later by the repo code:

https://www.youtube.com/watch?v=y85YoTIvQAM
GNU's a Unix clone, even the name it's GNU's Not Unix. FFS.

So, yes, it's right to clone tools and API's. GNU has been doing that since... forever.
Ultrathin Metasurface Displays Take Aim at the LCD
A major problem with blur beyond rounding errors, say due to the optics being somewhat blurry due to manufacturing difficulties and tradeoffs for weakening assembly tolerance requirements (like wanting rotationally symmetrical optical surfaces, despite a rectangular shaped actively-used image focal plane (e.g. CMOS photodiode array), and potential for specializing the design to evenly light up _just_ that rectangle), is that the photon shot noise has a standard deviation equal to the square root of the photon count.

A smartphone sensor pixel has space for some low 4 digits number of electrons (created with some probability from photons, but that stochastic effect doesn't matter for anything a normal user would photograph) and typically should have a fixed 2~10 electron standard deviation from the analog-to-digital-converter (well, mostly the amplifiers involved in that process).

So if your pixel is fully exposed at a high 10000 electrons, and you √ that, you have 100 electrons stddev from shot noise plus worst case 10 electrons stddev from the readout amplifier/ADC.
If you have a dark pixel that only got 100x less light to only have accumulated 100 electrons, √ of that gives 10 electrons stddev of shot noise plus the same 10 electrons stddev readout amplifier/ADC.

The problem is that while you have an SNR of 5 with the dark pixel, when trying to deconvolve it out of a nearby bright pixel, even perfectly with no rounding errors (1 electron = 1 ulp/lsb in a linear raw format), you now have 100/110 = 10/11 ≈ 0.91.
That's far worse than the 5 from before.
This gets worse if your ADC has only the 2 electrons stddev instead of the 10 (about 2x worse here).

That's the reason why deconvolution after the photon detector is a band aid that you only begrudgingly tend to accept.

The trade-off just requires massively increased aperture/light gathering, likely negating your savings on optics.
> but is now extremely common in humanities academia as well as pseudointellectual "cultural" publications such as the New Yorker and this one

And from there it runs downhill to the rats living in the bilge of the comments section.

I can't recall the number of times I've heard some simple concept churched up with all manner of 7-10 letter adjectives in an effort to sound sophisticated.
that would .. actually make sense. I can't imagine anyone who is winning in the status quo being anything but horrified at the thought.

has any currency ever done this? isn't there a risk of a Japanese-style concurrent inflation and recession?
Just amazing, thank you very much for having written that.

Just yesterday I was talking with a friend - "lose the caloric deficit idea, start eaten mostly meat, don't eat sugar" - about my half taken fasting + caloric deficit, but lastly - I've increased my rythm of training and I was needing more energy - I was subletly going out from fasting eating extra calories here and there, and out of nothing I've started to have more energy and at the same time getting thinner, now I've lost something like 5 kg.

Now after what I talked with my friend and haven read your blog post I understand exactly how I started to lose weight by eating more than when I was strictly fasting.

Thanks.
> The thing is, it isn't "people" arguing that -- to an extent that would suffice influence policy, in any case.

You also seem to be discounting the fact that plenty of people (for example influential people in SV) have spent a lot of time arguing that regulation is in general bad. That spreads here on HN quite frequently. This is the outcome of that rhetoric.

There is also a political part that champions it, they've and a large part of the voting public believes this. It's not just a few small lobbyists that twisted politicians arms on behalf of their clients. There are politicians looking for places where there are regulations so they can cut them as that's a key part of their platform. People suggest areas and they agree.

You keep making it sound like the concept of cutting regulations is political heresy across the board and lobbyists are having to sneak to get these done. It's widely promoted in a certain sphere and this is what it results in.
Also note that the prior large spikes were due in large part to multiple banks failing as well [1]. It's also notable in that this is the second largest bank to fail in the data I've been able to track since 2008 [2].

[1] https://www.fdic.gov/bank/historical/bank/
[2] https://en.wikipedia.org/wiki/List_of_bank_failures_in_the_U...
I've reviewed remote, seen how it works, and recommended it to tons of teams. From EOR, Global Payroll, and HR to Contractor Management, this is excellent for any remote team.
But I guess you already know this.
I'm inviting you to come join Remote with your entire team.
Start here: remote.sjv.io/4eb020
This chart is garbage. CNN and MSNBC just "skews" left? Seriously? Same for Vox, Vice and WaPo?
I'm pretty sure they can't without a warrant because that's harassment?

Which brings us to another point.

If I was to meticulously stalk and document the activities of one individual that would obviously be stalking -- but if a group does that to everyone that's a successful business?

How does that work?
I haven't seen this. Maybe they're editing comments they can't delete because of replies?
I was thinking of the 1995 animated film. I haven't seen the 2017 ScarJo version, even though she is very pretty.
That may be partially because it's not possible to do pre-training on such a large model.
Trump and republicans increased the capital treshhold of banks from 50B to 250B where banks must comply with an FDIC stress test as defined by Dodd-frank regulations. A small bank like SVB would have probably been required to hold more capital and wouldn’t have gone bankrupt.
Symbolics did not use fiber optics; you are probably thinking the TI Explorer.
> and their commitment to actually guiding AI for the better

I think the Silicon Valley elite's definition of "for the better" means "for the better for people like us". The popularity of the longtermism and transhumanism cult among them also suggests that they'd probably be fine with AI wiping out much of humanity¹, as long as it doesn't happen to them - after all, they are the elite and the future of humanity, with the billions of (AI-assisted) humans of that will exist!

And they'll think it's morally right too, because there's so many utility units to be gained from their (and their descendants') blessed existence.

(¹ setting aside whether that's a realistic risk or not, we'll see)
A related hypothesis[1] connects the Tambora eruption in 1815 with the colors of the sky in paintings made in the years thereafter, e.g. “Greifswald im Mondschein” ‘Greifswald in the moonlight’ by Caspar David Friedrich in 1817, see: https://de.wikipedia.org/wiki/Datei:Caspar_David_Friedrich_0...

[1] https://acp.copernicus.org/articles/14/2987/2014/acp-14-2987...
I'd like to add that it's not just T-Bill buyers. Banks tend to buy T-Bills for a place park cash. Even if you don't buy T-Bills you would be effected by a default if you have your money in a bank that's expecting some T-Bills to mature at the time of the (potential) default.
Show HN: SublimeGPT – Use ChatGPT inside any tab without an API key
You're not seeing anything because the facial mocap solutions are extremely widespread. Back in the 90's I remember software like Softimage's Face Robot having wide use at animation studios and that procedural softbody style being used because it allowed easy transitions between mocap, animator, and procedural controls. About 15 years ago FaceShift was the inspiration for many VFX houses to start their own ML groups to produce facial capture pipelines. The human face has had the most attention, and due to that the in-house facial animation pipelines are very hard to duplicate as commercial products - they are quite sophisticated, with reasons that make less sophisticated methods look pale where it matters: in the facial performance.
Interesting research, thank you. Though worth pointing out this study is comparing pure l-amph with pure d-amph. I'm not aware of enantiomerically pure l-amph being used clinically, which is an interesting side note: why not?

Are you aware of studies comparing adderall specifically to d-amph? This has certainly piqued my curiosity.
Heimer 4.0
Is it just the tech industry though? It sounds like they invested too much of their deposits in mortgage backed securities, which doesn’t really have to do with tech?
Yeah, it exposes people in the foreground differently than the rest of the picture. That's still trying to fit them into 8-bit - basically it's trying to avoid the "black people don't activate soap dispensers" effect where dark skin isn't visible in a dark picture. (Also, if the user is only looking at a face in the picture, or if the face has a different lighting source than the rest of it, then it makes sense to calculate its exposure separately too.)

Larger cameras don't do that specific one as much ("dynamic range optimizer" or HDR programs do some of it), but they do care about skin in white balance and autofocus, and then photographers care when they're setting up flashes.

It's somewhat overtuned here though.
Ask HN: Which stack is as boring (good boring) and cheap in 2023 as PHP?
It is 2023 and I want to develop a web app (backend) as a part of an MVP. Here's the twist: I want to:

- use boring technology
- iterate fast
- deploy with minimal cost for now

The web frameworks I have used recently (Spring, Rails, Express, Django, Flask, Elixir) coupled with Heroku, or Fly.io, or Kubernetes - they just don't cut it for me. Don't get me wrong: I have used most of the above in production and they fit and perform well, not for an MVP though. The closest I had it to my taste was with serverless (Zappa on AWS Lambda), but it felt like the framework was quite immature by the time.

Some long time ago I have been using PHP. I only have vague memories of copying files over FTP, having my site deployed instantly, and at practically no cost (hey, even with a "shared" DB). Development was fun, but I don't know if I am romanticizing it now, or if the ecosystem was actually making it simple and fast.

So, to your taste, what compares in 2023 to the romanticized experience of PHP in 2000s? Or should I just "undust" my PHP and learn Laravel?
I never understood Pokémon cards, they have a marginal cost of 0 to print.

With gold I have to trust 1 bank to hold it (generally the place where I buy it anyways, which is not secure), can't do multisig, and can't go through airports easily.

About the value tanking: even if it tanks 90% more, it's holding its value great compared to when I bought it 10 years ago.

These sound like theoritical things, but when storing real money all these problems get real.
It absolutely was a bank run in the most classic sense of this term.
SVB CEO – Balance Sheet Issue – joseph.gentile lehman.com [pdf]
Seems rather insane to me to "not care" about the origins if we all intend on preventing this in the future. Each origin hypothesis has vastly different implications - incredibly vast. I'm shocked that this article didn't discuss the Biosaftey Level of the WIV or the many, many, MANY, other lab leaks from labs with even stricter BSL.

The ever avuncular Jon Stuart said it well two years ago:
https://youtu.be/sSfejgwbDQ8?t=353
Pretty good read. They bring up quite a few good points.
Yes, on the face of it. The issue with what appears to be the same old game is that those who absconded with the wealth pillaged through funny money, are not going to be the ones getting punished to “fix things”. This opens up a whole different set of cascading consequences because now on top of the moral hazard we had, we’ve gone well beyond that because the perpetrators have learned there are not only no consequences, but that you will be rewarded for your evils.

Combined with other factors too numerous to really go into here, we are seeing the emergence of essentially an aristocracy in the USA and Europe, consisting of, as the earlier aristocracy, of the pillagers of their own people and the people of the rest of the world.
That's kind of you to comment! Thank you. FWIW it's a really fun exercise to log your own wins; I suggest you have a go!
Our apartment doesn't have a window that opens for cooking. We have an exhaust hood, it's very common.
Or require much more stringent BSL with actual auditing
I don't think it's still manufactured, and maybe it's unrelated to this current situation, but around 8-15 years ago, one of the manufacturers of generic Adderall XR did something that made it much less effective. It was obvious which ones were theirs, because they were the only company that put theirs in blue capsules.

Subjectively, it felt about half as effective as anyone else's. There were many, many forum discussions at the time from adults taking it as well as parents of kids who'd received it and noticed a big difference.

It was especially frustrating because of all the rigamarole one has to deal with to get the medication in the first place. To not have it work and also have to wait another month to get one that does is ridiculous.

I submitted a complaint to the FDA about it at the time. Never even got a form letter back. It's caused me to avoid generic drugs where possible ever since because if that can slip through, what else can?

I assumed at the time it was some difference in the capsule itself or the delayed-released mechanism, as opposed to the active ingredients being different.
Works perfectly for me in Firefox + macOS on my 2018 MBP.
The IPCC report made some really questionable assumptions, reached conclusions based on those, which were then exacerbated by the journalists treating the worst case scenarios as absolute certainties. Creating fear and panic around stuff usually works and has worked well for a long time.

It's true that we reduced the usage of coal in last few years. It's a big assumption that it happened because of a worst case scenario popularized by IPCC.

From this article[1], IPCC's 8.5 was based on the assumption that between 2017-2100 we will use 5x as much coal as we had done in our entire lifetime. That's a like a "coal boom". The world was already moving away from coal, even before the report, and at best the report and faulty scenario created more panic.

> Everyone knew about the decades of coal-powered economic growth in China, but those working closely on the future of energy had already grown somewhat skeptical that the same model would be deployed across the developing world — and even more skeptical that the rich nations of the world would ever return to coal in a sustained way.

> The most conspicuous example was an emissions pathway called RCP8.5, which required at least a fivefold growth of coal use over the course of the 21st century. Because it was the darkest available do-nothing path, RCP8.5 was reflexively called, in the scientific literature and by journalists covering it, “business as usual.”

Feedback loop as you call it probably slowed down the pace turning the whole thing into a culture war, creating mass hysteria, and getting people to fight each other when they were likely already moving away from coal. We don't have a control group in this case, and climate action is needed, though I am not sure if creating panic was justified at any time.

[1]: https://www.nytimes.com/interactive/2022/10/26/magazine/clim...
The fact that we, as a nation, are still talking about the debt limit is proof that no one with any authority actually believes this theory.

If everyone agrees a gun is not loaded, no one cares who is holding it or where it is pointed.
For more context. Joseph Gentile was the former Lehman Brothers CFO
Wait so svb made up that whole spike? A chart with number of banks would hardly show a blip this year?
Wikipedia is authored and curated by people who, by and large, know what they're talking about. When they make things up, it's verified and corrected by other people, usually within the decade.
This depends on the compute power quantum stepping....

That is what is the upgrade cost to expand capacity as new customers are added. If for example adding 1 million new users requires $200,000k in hardware expenditure and $20k in yearly power expenditure, but your first year return on those customers is only going to be $50k, you're in a massive money losing endeavor.

The point here is we really don't know the running and upkeep costs of these models at this point.
I often feel as though the ideas of “logic” or “rationality” are means to irrational ends. Or, if we ask ourselves “why” to our desires a couple times, we don’t necessarily have a rational motivation to have relationships, stay healthy, or try new things; we simply intrinsically want them.

Given that, I often wonder if the behaviours in those moments are because the irrational desires have become very different for some of us. I think it might explain why people will seem so methodical or sure about carrying those ideas out.
ZIIPing Along with Mainframe Specialty Processors – Elnion.com
Weird, someone else was posting the same question a while back:

https://news.ycombinator.com/item?id=34694341

Maybe check your browser's addons/extensions?
Oral History of LinkedIn
more outages.
This question is less hypothetical than it seems. In recent years, there has been amazing breakthroughs in low-light photography with machine learning, such as [1]. It's not hard to imagine that it would be applied to future surveillance cameras.

I imagine that in most cases, the "AI" would work just fine at guessing things. But important edge cases exist, including the possibility of adversarial machine learning spoofing attacks to create false images. Imagine faking a crime scene this way, it would something straight from cyberpunk fiction.

[1] Learning to See in the Dark
https://cchen156.github.io/SID.html
Can you give us a link to such a comment?
I created SublimeGPT, a chrome extension that opens a ChatGPT session right inside any tab you're on when activated. No API key needed as it uses your existing ChatGPT account.

I'm working on some features that will let you create and use your own prompt shortcuts, and also apply them on any selected text. Let me know how I can make it even better.
It’s a 486, you will probably be able to run a lightweight Linux distro but it will be sloooooow.
OpenAI Codex understands code. Though it’s primary use case is code completion, it might be to do Q&A well given a prompt with context.

https://platform.openai.com/docs/guides/code

I’d you’re interested in trying the very cheap models behind ChatGPT, you may want to have a look at langchain and langchain-chat for an example of how to build a chatbot that uses vectorized source code to build context-aware prompts.
Have used Fastmail for many years and recommend it!
Not valueless, exactly. The mortgage backed securities were rated more highly than they should have been as the default rate was assumed to be much lower. When that became obvious the securities lost a lot of value and the banks found out they were over-leveraged.

I'm not in finance (clearly), but it seems to me there are a lot of similarities with interest rates rising and forcing banks to re-value their investments in bonds and mortgage backed securities. The clear difference this time IMHO is that valuing bonds based on interest rate movements is much less opaque (even fully transparent) compared to valuing mortgage backed securities based on default rate predictions that are outright lies.

We know, or should know, how many of these investments are held by large banks and what the rates and maturation dates are. The big question I have is the more traditional financial contagion. If companies that had millions in SVB lose that money there will be impacts for other banks as the companies and bank investors become more conservative or paranoid. If many of those companies go out of business that means fewer deposits and fewer investment opportunities.