skysight-inc/HackerNews huggingface dataset:
The unemployment rate in the US is near record lows, so there are plenty of alternatives for most people. And: your government spent about 22.7% of GDP on social expenditures (in 2022, the latest year I have data for). See https://www.oecd.org/social/expenditure.htm

You have a hard time convincing anyone that the choice is "take this job or die" for most people.
The breakthrough in neural networks starting with AlexNet in 2012 is that they can represent semantic meaning with a vector of numbers. This can be used to group similar ideas, recognize positive or negative sentiment even with sarcasm, and convert ideas between representations. That includes translating from English to French, slang to formal writing, or images to text.

The "generative" ones are trained to predict the next token given a sequence. But that's not the only use for language models or large neural networks.
I bedtime procrastinated pretty badly.

CBT-I helped a lot. It forces you to skip to a schedule. The schedule is completely set around the time that you want to get up. Or at least it forced me to; I was paying $300/mo for the privilege!

Quitting Reddit helped a lot too. I wouldn't have done this had their leadership team decided to go hostile with their API access, but they did, so i did. It's been a great time-regainer. I didn't realize until after I left (and using this site more) that Reddit was designed to be a textual version of the same hooks that keep people glued to social media, which I quit almost entirely years back for the same reason.

(New Reddit does infinite scroll by default, with no way of turning it off, along with boosting chats, de-emphasizing multireddits in favor of subscribed reddits, tweaks their front page to maximize engagement, rewards short, quippy posts regardless of substance, and more. I still browse Reddit through Google for finding local restaurants and things to do, but I'm enjoying that while I can until I have to trudge through TripAdvisor or city-data.)

These days, I fall asleep within 15 mins of hitting the bed and wake up between 0530-0700 without an alarm feeling refreshed on most days.
You're arguing their most viable path was to fire him, wreak havoc and immediately seek to rehire and further empower him whilst diminishing themselves in the process? It's so convoluted, it just might work!

Whether fulfilling their mission or succumbing to palace intrigue, it was a gamble they took. If they didn't realize it was a gamble, then they didn't think hard enough first. If they did realize the risks, but thought they must, then they didn't explore their options sufficiently. They thought their hand was unbeatable. They never even opened the playbook.
New tape decks are poor quality, even wearerewind which puts it in a cool package uses the only new mechanism still manufactured, same as everyone else: https://www.youtube.com/watch?v=WleZGWAebsY&t=33s . It may be fine for some genres though ;)

The only way to play cassettes with high fidelity is to use a vintage tape deck, some of them are amazing.
It's not possible for you to objectively know the extent of erosion of faith in science or the causes, you can only speculate.

If science wants to wear the crown of supreme human cognition, I really wish they'd educate their fan base about how it should be done.
yeah the question is if a 75 dollar gift card is worth the chaos on black friday
What are summer art festivals? I suspect you are advocating that artists become performers, entertainers or sales people in addition to the 'making art' bit. But I don't think we have that sort of festival over here so do not know.
Hi, author here, I do think it's a fair criticism to say the mechanism could be more clearly demonstrated if it formed and evaluated hypotheses clearly outside the domain of any likely RLHF / fine tunes / system prompt text.

I'll work on that.
please read my post again.

I was not arguing for a single time zone.

you quoted only half of my sentence and are arguing against a strawman.
No this will be cut off, likely it's the end. Self driving cars are extremely expensive, terrible business model, despite 20 years of promises of they still need babying by a team of humans in a tightly controlled area. Too much capital is necessary in the high interest rate environment. Waymo is probably going to die too.
Here's where Cloudflare document this: https://developers.cloudflare.com/cache/concepts/cache-contr...

> vary — Cloudflare does not consider vary values in caching decisions. Nevertheless, vary values are respected when Vary for images is configured and when the vary header is vary: accept-encoding.
And this helps reduce the load for everyone else, too
I would assume you'd want that digital archive in a vault for the same reasons we put seeds kn the seed vault. Like the seed vault, the only copy doesn't need to (nor should it) exist just in the vault, but that's a good location to make sure at least one copy survives.
How many autonomous miles has comma driven?
Even a naive sharded approach requires coordination if you want a scalable solution. Where do you send keys when there are 4 shard buckets? What happens when we want 5, or 8, or 32 shard groups? Just yolo turn off all writes, toggle some config and turn everything back on? Not great. You've changed the shard selection of a key from 2 to 11? What happens to all the previously persisted keys that were written to 2? The answer is unsurprisingly complicated, and depending on the system you're writing, this can be a really hard to solve against if you haven't prepared to grow (or shrink).
You just missed the fine print on the advertisement:

* plus applicable taxes and fees, taxes on the fees, and fees for assessing the taxes and fees
I think of it in terms of energy.

Evolution is a process that takes a lot of energy. Every lifetime is a lifetime of energy that has been harnessed to continue the process. So when a species goes extinct, it's not just the energy of all of the living members, but all of the ancestors of all of the living members as well that is destroyed.

Sort of like expending a bunch of energy to train a neural network, and then rm -rf the weights.

Such a waste.
Given that homo sapiens, the most intelligent species on this planet, has generally made life miserable for all of the other species, I'd like to turn that challenge around: How about a proof that superhuman AI won't harm us?

Suppose a nuclear reactor is being installed in your city. Your friend has reviewed the design and has some serious concerns. Your friend thinks the reactor has a significant chance of melting down. You go to the director of the project. The director says: "Oh that's nothing to worry about. I talked to that guy. He didn't have a mathematical proof that the reactor would melt down." Are you reassured?
Lily Tomlin once made a joke about this that I never forgot. "What would the world be like if we all grew up to be what we'd wanted to be when we were children? Just imagine a world filled with nothing but circus clowns, ballerinas, firefighters, and cowboys..."
> The compiler can warn me that I probably have a bug and should change my code. But it shouldn't hold the program hostage until I comply.

Well, you can keep using the old version of the interpreter / compiler?
And you gotta socialize your kids to keep their mouths shut too. My daughter attends a progressive school, and she’s intuited that there’s a de-facto racial hierarchy that she’s none too happy about. (She was recently invited to attend a school-sponsored weekly lunch for black girls, but once a month because she’s half white and half south Asian and I guess that’s how the math works out.) I pointed out that she needs to keep her mouth shut about it if she doesn’t want to get cancelled.

Funny thing is, she already kinda knew that. Even at 11 she had an inkling about the possible social consequences of complaining about that.
Most people these days have a smartphone which is essentially a broadcast receiver, and carriers give the government ways to sending emergency broadcasts. This isn't a substitute for a dynamo radio as a fallback in an emergency, but is just as effective as an emergency VHF broadcast for the TV or emergency broadcasts on AM/FM. In the '90s even though everyone was supposed to have a dynamo radio for emergencies, in practice I knew pretty much nobody who did.

If anything it's even better these days because they have their receiver with them at all times instead of in the living room or in the garage or in the car as used to be before smartphones. Most folks in the US have a different ISP at home than they do mobile carrier so there's redundancy that way as well. I do think it's a shame that there's no equivalent to something like the POTS which ran on separate power from the base power you get from the grid, but mobile networks also usually have layers of backup power that's independent of the grid so that's a good substitute.
Sold to whom?

Who will be willing to spend a billion or two every year with no end in sight?
> I could use GMT+0 instead and that would work too but let's keep it French!

I thought the French way was TUC. UTC is the compromise and/or compatibile wit UT1+UT0.
Maybe this? "Meta's head of augmented reality software stepping down"

https://news.ycombinator.com/item?id=38311144
> One out of every eight WISE Teens participants appeared clinically depressed after completing the program, compared with one out of every 13 participants who did the regular health classes.

First, by focusing teenagers’ attention on mental health issues, these interventions may have unwittingly exacerbated their problems...

A second possible explanation for why these programs backfired is that they were provided in the wrong place and to the wrong people...

A third possible explanation is that these interventions offered enough information to highlight a problem, but not enough to fix it.

The first point makes a lot of sense. There is so much talk about social/mental issues, and teenagers/kids are susceptible to the power of suggestion. It seems plausible that at least some kids end up having these issues (or thinking they have them) because of the focus on them in school and on social media.

As the author points out, it's good to have people feel like they can talk about issues like these, but perhaps not great to be broadcasting them at a suggestible audience.
The cases really are:

1: I'm addicted to social media because my parents was lax on internet ground rules and I didn't apply self-awareness.

2: I'm an uneducated parent because I don't understand the speed of social manipulation or the social side of the internet.

And finally,

3: I'm a FAANG company and we know exactly how to exploit your lackfullness for money.
I was hoping they would continue pushing their kibosh on sharing passwords so I would delete my account permanently (I only pay because my siblings use my account), but it seems they stopped trying to force it in Kenya.
Here's some colorful bits about what these execs were doing:

- "Gree USA then tested the dehumidifiers and found that they regularly caught fire due to the use of a substandard plastic that was not fire resistant enough. As the Gree CEO told a Hong Kong Gree manager, “the result is not like what you have told us…the result shows the units all can catch the fire and apparently the material is not according to UL standard! I don’t think the factory is telling us the fact and truth. . . .”"

- "But the company kept the dehumidifier issue under wraps. In September 2012, Gree executives decided to delay any recall of the dehumidifiers by six to nine months. The reasoning, according to the court filing, was that “cooler fall and winter temperatures would help prevent Gree dehumidifiers from overheating and catching fire, and that there should be very few, if any, dehumidifier fires in the 6 to 9 months following September 2012.”"

https://www.courthousenews.com/chinese-manufacturer-to-pay-9... ("Chinese manufacturer to pay $91 million for selling dangerously defective dehumidifiers" [2021])

primary source: https://www.justice.gov/opa/press-release/file/1445406/downl... (pdf)

edit: That pdf court filing is really an absorbing read, pages 41-55 particularly (in Statement Of Facts). Astounding malevolence.

Another example: "Rather, Gree USA’s CEO recommended only that the Gree Companies have another company test the Gree dehumidifiers and then decide whether to delay the recall. Gree Hong Kong Manager #1 responded by urging the Gree USA officers not to conduct such a test of the Gree dehumidifiers because that test would show that the dehumidifiers used plastic that did not meet UL standards for fire resistance."
Slack uses Lato, not Inter.

https://brand.slackhq.com/typography#:~:text=Product%20font,....
This is one of those rare occasions in my opinion. OpenAI trained truly ground breaking models that were miles ahead of anything the world had seen before. Everything else was really just a side show. Their marketing efforts were, at best, average. They chose to call their premier product "ChatGPT", a term that might resonate with AI scientists but appears as a random, forgettable string of letters to the average person. For a considerable period, there was no mobile app available. Their web app had its share of bugs, while third-party apps delivered a better UX. Maybe Sam Altman deserves credit for attracting talent and capital, I don't know. But it seems to me that OpenAI's success by far and large hinges on their game-changing models.
Everyone knows how it works. Most people under the age of 21 have also been trained their entire lives to believe that their opinions and instincts are just as valid as anyone else's regardless of how much experience they lack. Go talk to literally anyone teaching students at or under that age. It's frightening how poorly millennials have been raising their kids under the guise of self-esteem-building.

It's going to be absolutely fascinating in another decade or so when there are millions of 30-somethings with insane college debt because they maxed out their loans in an attempt for extra spending money for gambling and other useless shit.
Really well - they make the best web browser around!
Oh yeah, they’re definitely guilty of trying to cover it up.

But I suspect Cruise was already on CA DMV’s bad books after having so many publicized issues in SF and this was just the last straw.
Not Just Bikes video on this topic: "The Gym of Life" - https://www.youtube.com/watch?v=KPUlgSRn6e0
Yes, it absolutely could. You're right that this configuration is rare. Although people have been putting together machines with multiple 24GB cards in order to split and run larger models like llama2-70B.
> It should not be "removed" as a step function. It should get more annoying over time but still function for the next 30 years, at which point it's incredibly, incredibly annoying to call the function (but still works).

Keeping stuff around costs maintenance effort. Python is mostly developed by volunteers (either directly by occasional volunteers like me, or by professionals who are paid by organisations like Microsoft, who volunteer the money.)
AI and the Future of Art – Sam Altman and Android Jones [video]
I was not arguing for a single timezone nor surprised that US has multiple timezones. the surprise was that even after multiple timezones, they need so much adjustment twice a year -- which is what I was arguing against. (to be more specific the argument was against how they go about that adjustment -- not that an adjustment is needed which is understandably due to geography and seasons)

you quoted half my sentence which creates an easy strawman.

> A more obvious solution would be to just stop observing DST

yes that is essentially my argument too ...with an extra accommodation for folks who will argue about seasons causing wild changes in sunrise / sunset / daylight.
This is a bad change. Many applications work with naive datetimes that are implicitly UTC.

The current way to get these objects is:

datetime.datetime.utcnow()

Now the easiest way to get those will be this soup:

datetime.datetime.now(tz=datetime.timezone.utc).replace(tzinfo=None)

Why not just use .now()? Sometimes your code gets run on machines that have varying local times, but you still want to work with implicit UTC times. For example, when testing server code, or when writing a client application.
I am fully aware that there are big assumptions.

But our most effective experiment so far is based on creating LLMs that try to act like humans. Specifically try to predict the next token that human speech would create. When AI is developed off of large scale models that attempt to imitate humans, shouldn't we expect that in some ways it will also imitate human emotional behavior?

What is "really" going on is another question. But any mass of human experience that you train a model on really does include our forms of irrationality in addition to our language and logic. With little concrete details for our speculation, this possibility at least deserves consideration.
Yeah that will show ‘em!
Thread unrolled in article and more discussion over here: https://news.ycombinator.com/item?id=38341466
Does Kiwix actually work? I see people hyping it here but I could never get it to actually, y'know, download the file and display the wikipedia on my phone.
I've actually been working on a similar eval task that uses grids of symbols to evaluate LLM's reasoning ability around the game Wordle. My initial results are:

- Success: ChatGPT-4-November, Phind-November

- Failures (via hallucination): GPT-3.5, Mistral-7b, Llama2-13b

Interestingly, ChatGPT-4 wrote a short python script (unprompted) to develop a pseudo-CoT type generation and answered correctly. Phind, which also answered correctly, is also a code-based/code-enabled LLM.

Non-code-based-LLM's appear to reason cogently when describing their games - what moves are illegal, what the best guess in certain conditions are, etc - but their actual answer, even in multiple choice is comically wrong.

These are very initial results but my tentative hypothesis is symbolic logical reasoning - string manipulation / function calling type tasks - are greatly enhanced by having a code modality. How to switch between natural language and code-generation may offer a strong boost on tasks like these.
Love me some crisp scanlines
They are the last survivor offering an alternative to Blink and seem to be indefinitely sustainable for their core product.

Other companies tried competing against Chrome, and so far Mozilla is the most successful, as everyone else gave up and ship Chrome skins people basically only use by subterfuge or coercion. I'd say that's pretty good.
> a panel of people from just such a group

Oh, certainly; though I'd argue they should have input from medical and financial experts, too. But regardless...

> just me and my loved ones making medical decisions about me

The decisions made by only the person needing treatment (and their loved ones) is definitely going to result in the resources being bled dry way too quickly.
Show HN: Google Firestore Data Source Plugin for Grafana
yes, one of the many ironies here is that the groups people associate with the nostalgia for outdated recording tech would absolutely choose the new stuff if they were recording today.
mozilla (and chrome to be fair is the same) have more product managers closing bugs than engineers/contributors.
Front-End Developers
Patents are a compromise: you keep your prerogative, yes, but for a limited amount of time and you agree to publicly publish it so that everyone can access it. Eventually, if you do nothing with it, why would we limit humanity from benefitting from it ?

It's like imagine a guy has a nice idea to cure cancer, but plays the princess with it and refuses to industrialize it, while people are dying left and right. Surely, it becomes indefensible, and at some point, someone brave will do the right thing and implement the idea. You have a right to reap the benefit of your ideas but you have a duty not to deprive humanity of any benefit just because you thought of it first, I feel ?
You wouldn't quite have all the latency benefits because you'd have the additional delay between when you stop speaking and when you release the button (or cut off speech if you release too early). It wouldn't respond any faster because it's already responding at the fastest possible speed right now, it doesn't wait at all. And it wouldn't be hands free, it wouldn't feel like a natural conversation which is what I'm going for.

I'd rather use speaker diarization and/or echo cancellation to solve the problem without needing the user to press any buttons.
I don’t drink a lot, but to me it looks like the market is saturated and combining with economic downturns probably we don’t need more wines. Instead, because of extreme weather is more frequent occurrence we’ll need more food crops than making wines.
Yeah! <3 https://github.com/mitmproxy/android-unpinner
> A more obvious solution would be to just stop observing DST but that’s not something that will happen unilaterally and will be an especially hard sell at extreme latitudes.

Huh, why would it not happen unilaterally? Different countries already fiddle with their daylight savings times (or absence thereof) unilaterally, and the start of DST is not synchronised across the globe anyway.

So if you have two countries that start DST on different weeks that's already a hassle to deal with, and one of them going off DST altogether doesn't really add any extra hassle in their bilateral dealings.
I'm not saying that smaller model task specialization is a bad thing. If anything the research kicked off with Orca into using more complex models to jumpstart fine tuning of much smaller models is probably my pick for the most important ML research trend of 2023.

But even in the example you bring up and your comments on it, I'd strongly recommend considering Goodhart's Law - turning a handful of measurements into the target by which we are throwing other things away to improve model scores on those measurements doesn't necessarily represent a path to best in class production feasibility.

I can imagine a number of edge cases where a customer service bot not having basic math capabilities could lead to issues ("Did the package come with at least 4 screws?" "It only had three" "Ok, great - I don't see any issues with the shipment and am denying the return request").

Further, many qualities which probably do matter for applications like customer service, like patience, empathy, or de-escalation - don't happen to be parts of the measurements any LLMs are being optimized to hit (even though they are almost certainly represented at least in part in the pretrained models given the presence in the data).

We've become a bit too focused on optimizing LLMs around measurements reflecting our anchoring biases of what AI should look like as imagined decades ago rather than evaluating the starting point and use cases as they actually occur as we might for a tool by any other name.

Though this is all an entirely different issue from whether different model sizes require their own best practices.
It works perfectly for me, both on iOS and macOS.
As I pointed out in a different comment, ChatGPT and friends are based on predicting the training data. As a result they learn to imitate what is in it.

To the extent that we provide the training data for such models, we should expect it to internalize aspects of our behavior. And what is internalized won't just be what we expected and were planning on.
Speculation: I'd expect a huge selection effect w.r.t. caffeine half-life. If your physiology yields a really long caffeine half-life, you won't drink as much because it keeps you from sleeping. These people will show up in studies as "not habitual users"

Not speculation *up to* 9 hours. Your Mileage Will Vary. My point was for people who aren't sleeping well, who should be extra aware of the stimulants they're taking and how long they can be active.

4-6 hours is also pretty long, which means there aren't very many lambdas between that afternoon cup and when you're trying to go to bed.