skysight-inc/HackerNews huggingface dataset:
Nothing to pardon, asking questions is always the right thing to do :-) I also didn't look into the paper in great details, although I'm quite sure I am not fooling myself, but still take this with a grain of salt.

My understanding is that this paper by MIT doesn't train any new model from scratch. I takes a pretrained model (e.g. StableDiffusion), which however is trained to do "a small step" only: you fix a number of steps (e.g. 1000 in the MIT paper), and ask the model to predict how to "enhance" an image by a certain step (e.g. of size 1/1000); the constants are adjusted so that, if the model is "perfect", you get from pure white noise to an image in the exact number of steps you set. If I remember correctly how diffusion works, in theory you could set this number to any value, including 1, but in practice you need several hundreds to get a good result, i.e. the original StableDiffusion model is only able to fit a small adjustment.

This new paper shows how to "distil" the original model (in this case, StableDiffusion) into another model. However, unlike typical distillation, which is used to compress a big model into a smaller one, in this case the distilled model is basically the same as the one you start with; but it has been trained with a different objective, namely to transform random noise to the prediction that the original model (StableDiffusion) would make in 1000 steps. To do so, it is trained on a very large amount of triples (text, noise, image). But I don't think you can incorporate into this training procedure other "real" images that are not generated by the model you start with, because you don't have a corresponding noise (abstractly, there is no such concept as "corresponding noise" to a given image, because the relation noise -> image depends on the specific model you start with, and this map is not anywhere near invertible, since not all images can be generated by StableDiffusion, or any other model).

Once the model is trained, you can of course give it a new prompt and, in theory, it should generate something rather similar to what StableDiffusion would generate with the same prompt (hopefully, the example displayed on their web page are not from the training set! Otherwise it would be totally useless). But you should never obtain something "totally different" from what StableDiffusion would give you, so in that sense it's not "general", it is "just" a model that imitates StableDiffusion very well while being much faster. Which is already great of course :-)
In case this helps anybody: I've been using those BreatheRight strips (extra strength) and they've been incredibly helpful. Not nearly as effective as CPAP, I'm sure, but a milder version of the same effect.
So why is it that Kotlin provides a Main Dispatcher? If you have been working a lot in server-side development then you probably came across this dispatcher. Probably when you tryied it, it didn't work and you moved on. In this article I talk about that.
This is a really interesting way to think about the progression.

As a timeline I like to plot the ratio of users to isolated compute. We've moved along points like users per building, users per room, user per computer, computers per user, kernels per user, processes per user.

Containers enabled the latest shift.
They may not do a hard credit pull (which impacts credit score) but many of them do a soft pull and incorporate it into their underwriting.
I think they have bigger things to worry about. Like not starving to death.
“When you have 15 people, and the 15 within a couple of days is going to be down to close to zero, that’s a pretty good job we’ve done.” (Trump, Feb 2020)

As I said, it’s certainly complicated by not knowing how many mild cases are out there undetected, but that doesn’t make it unconcerning.
ChatGPT does have at least a year head start so this doesn't seem surprising. This proves that OpenAI doesn't really have any secret sauce that others can't reproduce.

I suppose size will become the moat eventually but atm it looks like it could become anyone's game.
The older generations are larger than younger ones in a demographic balloon, hence older generations are a plurality. This has many externalities (for which I agree) are caused by people voting simply in their best interests rather than malice.

Now here is where I push back, is complaining about this unfair scenario "sour grapes" or "envy"? This is a winner takes all scenario. This wealthy group can vote for direct wealth extraction from the poor (which they do, again out of simple self interest) by constraining housing supply in an effective monopoly. That isn't fair, it's a moral hazard. It's not "petty" if you are proveably on the wrong side of demographics. Infact talking about it like this is the only way it can be fixed, as people can be informed into voting for the interests of someone other than themselves.
Cute.

Here in the Midwest, we drive over rolling hills. The automatic is always shifting to too high a gear on a roller, getting surprised when it immediately rises again and shifting down too late. Resulting in roaring and lugging.

Also on ice or slippery roads (an entire season here) I get frustrated at the automatic's total incompetence. I pull out of a parking lot to turn left in the far lane, give it a little gas to slide the back-end around to put me straight and it engages some idiot traction-control feature that means, essentially, it oscillates the power in a futile attempt to gain traction (there isn't going to be any) and slides into the far curb like one of those little football players in a vibrating football game (does anybody remember those?)

Mock the stick all you like, unbelievers. That just marks you as one of the ignorant.
I found myself feeling "old" during north east winters, I would wake up exhausted and crabby.

Recently I tracked this down to indoor air quality, installed an ERV (basically, introduces fresh outside air into the house) and I feel much better.

There's a lot of talk about (obesity related etc) sleep apnea that's due to how the person breathes, it seems to me that there's a version of it related to WHAT you breathe.

Granted I think I am more sensitive to indoor air quality than an average person or maybe just more aware of the effect, but this seems to have been a game changer in a way.
I think boring, standard solutions are actually pretty effective. We use commercial cloud cold storage for primary backup, with a self-hosted cache layer in front to drive down cost. Commercial off-the-shelf storage is also the best characterized and has a proven track record.

NIST has some great reviews of the stability of optical media, and it’s quite good, done for the library of Congress.

DNA storage would enable some pretty crazy storage density, but ensuring there’s a compatible reader around in 30 years might be difficult
It's great how we went from "wait.. this model is too powerful to open source" to everyone trying to shove down their 1% improved model down the throats of developers
Never underestimate idiots in large amounts. It's a matter of "when", not "if".
As others have commented it can do all this. What it doesn't do is automatically balance/place GenServers and processes across your cluster. This is up to you. The ways in which you distribute work across a cluster is full of trade-offs.

Need raft concensus? Paxos? Something else? Want to place work with consistent hashing? Want to hydrate/dehydrate with persistence vs memory only?

Those are all important decisions and the languages do not force you to one option.
We already know the trick to get massively improved coding performance from an existing model: set up a mechanism for it to execute the code that it writes and then react to any errors or test failures that occur.

ChatGPT Code Interpreter has been demonstrating the effectiveness of this trick for over a year now. Anthropic are working on their own version.

I got Code Interpreter to write, compile, debug and fix C code the other day, despite it pretending it can only work with Python: https://simonwillison.net/2024/Mar/23/building-c-extensions-...
> The people didn't elect their government, the prisoners under Israeli military occupation since 2005 did.

From https://www.washingtonpost.com/world/2023/10/24/gaza-electio...

In 2006, the Palestinian political entity operating in the West Bank and Gaza staged elections. Little did observers know that it would be the last vote allowed by the Palestinian Authority, led then, as it is now, by President Mahmoud Abbas. The vote took place in the aftermath of a turbulent series of events: the fiery years of the second intifada, the death of longtime Palestinian leader Yasser Arafat, and the 2005 Israeli withdrawal of troops and settlers from the Gaza Strip.

The election yielded a shock victory for Hamas, which won the most seats with some 44 percent of the vote.
Don't reward single parents... reward families staying together and raising their kids how they want to, as decided by each individual family. There is a drastic statistical difference between those raised in family units vs single parent households... It's even significantly better to have grandparents (note the plural) raise a kid than a single parent.
I agree with your analogy. Also, there is a quite a bit of "standing on the shoulders of giants" kind of thing going on. Every company's latest release will/should be a bit better than the models released before it. AI enthusiasts are getting a bit annoying - "we got a new leader boys!!!!*!" for each new model released.
I find myself wondering if Russia, China, Iran, North Korea, wherever see the same security breaches that the West seems to be suffering.

Probably wouldn't hear as much about it due to their governments clamping down on any media that suggests these places have any sort of flaws, but you'd think the CIA/DIA, MI6, DGSE, etc. would be having at least some success.
Sure, I don't think we disagree as much as I thought an hour or two ago, I am still little puzzled why you found it so bad though.

If a deployment procedure is easy for non-DevOps people then by definition that also makes it friendly to programmers, so why wouldn't they do it if it they can do it properly with minimal effort. But I do realize that "properly" is doing a lot of work in this sentence.
The financialization of management at Boeing has been an issue since well before 2019. See:

https://www.airliners.net/forum/viewtopic.php?t=213075
2c: I guess it's a "wait and see" approach. The AI Bill is making good progress through EU parliament and will soon (?) be enforceable. It includes pretty hefty fines (up to 7% annual turnover for noncompliance) and lots of currently amorphous definitions of harm. And it'll make it necessary for AI firms like Anthropic to make their processes/weights more transparent/explicable. Ironically, Anthropic seem very publicly animated about their research into 'mechanistic interpretability' (i.e. why is the AI behaving the way its behaving?), and they're happy to rake $$ in in the meantime all while maintaining a stance of caution and reluctance to transparency. I will wait and see whether they follow a similar narrative arc to OpenAI. Once 'public good', then 'private profit'.
> I have the impression that people in USA collate creationism and catholicity

I've noticed this as well. It's kinda weird, since the Catholic Church has officially held that it has no conflict with respect to evolution for around 75 years now (they basically take no position on the subject), and some of their scholars were pro-evolution for many years before that.

Nowadays, it's generally just fundamentalist Protestant churches which insist on literal creationism.

> while it's a strongly held belief in their country, across all faiths.

It's actually a minority belief in the United States, although a substantial minority.

https://news.gallup.com/poll/261680/americans-believe-creati...
Unsurprising. The pay sucks, hours are long, and the largest industry to hire postdocs (Biomedical) is going through a fairly severe recession that has impacted lab developers in Boston and SF as well.

Edit: My analysis of the second order effect is wrong.

From the article - "Much of the shift can be attributed to employment numbers in the biological and biomedical sciences, which saw a 3% drop in the total number of postdocs from 2021 to 2022 and a 10% drop in the number who were U.S. citizens and permanent residents. It’s not clear from the recent data release what’s driving the trends. But the declines coincide with a boom in hiring at biotech companies. And data from a separate survey released by NSF last year indicated fewer U.S. Ph.D. graduates in the life sciences are pursuing postdocs than ever before, with an increasing number heading to industry"

Basically, it looks like you don't need to have a postdoc anymore to work as a researcher in the Biotech industry now.

That said, PE/VC funding has dried up in Biotech compared to a couple years ago

Paying postdocs private sector hourly salaries will probably resolve the issue, but that effort needs to come from the NSF, NIH, DHHS, and other grantmakers.
Are you implying techies are engineers? They are not. Just like accounting isn't engineering. Engineering is engineering.
> All the services can now share their common libraries, both on disk and in memory, which reduces I/O and memory use.

Wow, how is this possible using layers? How does docker handle it if I subsequently modify one of the files of my layer in my container?
Do you mean with the current public knowledge or hypothetically? For md5 all of these are doable right now (except maybe code that "makes sense"for human reader). Also in practice it's much easier to do this with a data file, as demonstrated for SHA1 with a "backdoored" certificate.
This is stated as biological fact when it's simply not. Sleep apnea doesn't change the laws of thermodynamics - if you are gaining weight you need to eat less or move more. It's not stigma, it's simply the way it is for the vast majority of people (the rest being covered by rare hormonal conditions that require a doctor to treat).

Being tired may cause you to eat more but being tired isn't making you gain weight, it's the overeating that is.
The URLs are byte-for-byte the same, I thought HN would catch that and treat the new submission as an upvote to the older one, at least with such a short interval between them.
> (despite the French name)

Claude is named after Claude Shannon, founder of information theory. I guess it is a traditionally French name, but he wasn't a French person.
I don't know a lot about this. But my first thought is better undercover, intelligence work? Follow through on citizenship deals for locals that cooperate with intelligence programs, grow & nurture those efforts.

The biometric stuff just seems too dangerous to me, and unlike e.g. Nuclear arsenals, there's no peaceful game-theoretical equilibrium at MAD, I just see an extremely effective tool for the eradication of groups of people, and I don't trust human beings not to misuse that, especially with machine intelligence getting so powerful so fast.

It all feels frighteningly unstable to me.

edit: A perhaps more lucid way to explain what I mean: I am afraid of a world where the cost of eliminating a group of people is low enough that it outweighs the incentive to adapt & negotiate peaceful coexistence, even without what I see as an innate human bias towards destroying groups we don't like. Do violent, authoritarian regimes begin to gain an edge over peaceful, democratic ones?
for context, Sky News Australia is approximately as mad as the US Fox News.
What's a good way to have access to many chatbots in one place?
If you work wit the code enough prsphi becomes as idiomatic as args. The question is which should be allowed to become idiomatic in the first place. Arguments is of course common enough across a lot of different projects that you can make a stronger argument that perhaps it should - and in fact it might be better as nobody thinks of the dictionary definition: "A discussion in which disagreement is expressed; a debate." when they see args.

I have never worked with phone numbers outside of a class assignment so prsphi is not something I would understand. However if I was in a codebase that worked with phone numbers often I'd probably get to know it and like the shortness.
https://arxiv.org/abs/2305.10429 found that people are overweighting Wikipedia and downweighting Wikipedia improves things across the board INCLUDING PREDICTING NEXT TOKEN ON WIKIPEDIA, which is frankly amazing.
Meta Joins a World of Subscriptions
"Research Cannot Be the Justification for Compromising People’s Privacy"
https://about.fb.com/news/2021/08/research-cannot-be-the-jus...

"The researchers [at NYU's Ad Observatory] gathered data by creating a browser extension that was programmed to evade our detection systems and scrape data such as usernames, ads, links to user profiles and “Why am I seeing this ad?” information, some of which is not publicly-viewable on Facebook. The extension also collected data about Facebook users who did not install it or consent to the collection. The researchers had previously archived this information in a now offline, publicly-available database. "
Since 1967 [1]

[1] https://en.wikipedia.org/wiki/Gaza_Strip
I thought it was more complex than this, something like lack of sleep disrupting hormones that regulate feelings of hunger and fullness.
Anthropic is ex-openai so even if there is a secret sauce that openai uses, they might know it.
Open Source Security Foundation (OpenSSF) Best Practices
I think it will show you the confirmation code on the device. Then the scammer will call to learn the code.
No shit. Who wants to still be treated like a grad student after defending. I didn't even consider looking for a post doc, and I graduated more than 10 years ago. Stayed on as a staff scientist for about five years then went to industry.
The problem mostly stems from the fact that MacOS folks don't have compatible Unix utils to the Linux folks, and the majority of developers are on MacOS but everything deploys on Linux. The easiest way to fix this is to install GNU utils on mac so you're using the same bash and system tools everywhere.
As far as I can tell Copilot autocomplete is still using gpt-3.5-turbo. Copilot Chat uses GPT-4.
Dedupe is an optional and often misunderstood feature. It's a solution to a niche problem and not something you should enable because it exists. Data protection doesn't require lots of memory, but the way it's implemented means you can't just use the file system cache to back memory mapped files 1:1 like you can with a less reliable file system that modifies file content in place without checksumming. ZFS doesn't have to be the memory hog it's made out to be. A lot of the issues with ZFS on 32bit systems come from the fact that pre Meltdown the kernel heap had to fit into <1GiB of the address space shared with memory-mapped I/O. Often its cache hat to be restricted to ~300MiB and tried to allocate 128kiB continuous buffers from that since it was designed for 64bit virtual address spaces there was no support for chaining multiple smaller allocations to back a large block.
Use Simple Language
I cannot confirm this at all for my use cases. Opus consistently produces better and more correct output than ChatGPT for me. I'm mainly using it for code analysis, code writing and document analysis.
I don't think it's just that Claude-3 seems on par with GPT-4, but rather the development timescales involved.

Anthropic as a company was only created, with some of the core LLM team members from OpenAI, around the same time GPT-3 came out (Anthropic CEO Dario Amodei's name is even on the GPT-3 "few-shot learners" paper). So, roughly speaking, in same time it took OpenAI (big established company, with lots of development momentum) to go from GPT-3 to GPT-4, Anthropic have gone from start-up with nothing to Claude-3 (via 1 & 2) which BEATS GPT-4. Clearly the pace of development at Anthropic is faster than that at OpenAI, and there is no OpenAI magic moat in play here.

Sure GPT-4 is a year old at this point, and OpenAI's next release (GPT-4.5 or 5) is going to be better than GPT-4 class models, but given Anthropic's momentum, the more interesting question is how long it will take Anthropic to match it or take the lead?

Inference cost is also an interesting issue... OpenAI have bet the farm on Microsoft, and Anthropic have gone with Amazon (AWS), who have built their own ML chips. I'd guess Athropic's inference cost is cheaper, maybe a lot cheaper. Can OpenAI compete with the cost of Claude-3 Haiku, which is getting rave reviews? It's input tokens are crazy cheap - $300 to input every word you'll ever speak in your entire life!
In the replication crisis era it's a good thing I suppose.

https://en.wikipedia.org/wiki/Replication_crisis
>>> Good for them having wishes, yet free software doesn't work that way in most cases. :)

Historically I would agree with you.

But bottles, and the attitude of some upstream projects is one of "modern", "faster", "support the latest version only" ... Software devs who live in user space want a more "App Store" like delivery mechanism where they have control. The kernel is inclined to never break backwards compatibility. Distros are sort of stuck in the middle...

>> I see containers ...
> That's OK. Docker is a tool,

One of these is a subset of the other... (depending on your perspective). Dockerdesktop running a linux image on a windows box is most certainly a tool... that same container being ported to lcx in production makes it a package manager. Who is a subset of whom is something we could debate but these things can be both.
It's actually a web1 thing: https://developer.mozilla.org/en-US/docs/Web/HTML/Element/ma...
> And why do you need to track people

They're looking for specific hamas commanders who are believed to be hiding in the civilian population.
> According to the latest data release, 62,750 postdocs were employed at U.S. institutions in the fall of 2022, a 1% drop compared with the year before. But the trend diverges sharply by citizenship. From 2021 to 2022, the number of U.S. citizens and permanent residents working as postdocs dropped from 29,755 to 27,289.

> The 8% change is the largest year-to-year percentage-wise drop in the history of the survey, which has collected data since 1980. Meanwhile, the number of postdocs with temporary visas increased by 6%, from 33,573 to 35,461, about the same number as in 2020.

It doesn't seem like a completely drastic drop but definitely not insignificant.
To your employer maybe, but not to you. You get paid either way.
Claude has way too many safeguards for what it believes is correct to talk about and what isn’t. Not saying ChatGPT is better, it also got dumbed down a lot, but Claude is very heavy on being politically correct on everything.

Ironically the one I find the best for responses currently is Gemini Advanced.

I agree with you that there is no switching cost currently, I bounce between them a lot
Is it something that's aimed at a specific problem I have never encountered or is it something that can improve everyone's workflow? It feels like it's something closer to git + mailing lists than typical PR workflow, which I do find interesting because PRs are... a lot of unnecessary work. But this has to be better than mailing lists, right?
Essential Exercises for Programmers to Prevent Back Pain
> a few thousand freedom fighters/terrorists

They are literally the internationally recognized government of the Gaza Strip.
I suspect it will only be "solved" once the problems of existential angst and ennui are. It's remarkable how powerful our primal emotions can be at overriding even the strongest of drugs.