skysight-inc/HackerNews huggingface dataset:
I don't know how you came out of my comment with this response.

What I'm saying is there is already plenty of better (or just-as-good, or near-good) sources of journalism. I did not even know BuzzFeed News was separate from BuzzFeed, so why would I waste my time even looking into them when:

* There are already decent news outlets

* My only perception of BuzzFeed is that their quality is extremely sub-par, which is by their own doing.

In the competition for my attention, I'd rather lose out on a possible diamond in the rough that is BuzzFeed News, then subject myself to the far likelier possibility that BuzzFeed News was really just more "BuzzFeed".

In this edge case, that filter is wrong, but ask yourself - if Fox News came out with a new source that was of Pulitzer-worthy quality and was honestly unbiased, would you still give it the time of day? I still wouldn't, because the chances it adds something of value higher than my current level of journalism consumption is much lower then the chances that this magical "Fox News" offshoot is actually something decent.
Be nice to get some new treatments for this illness. I was recently diagnosed and basically now I have to take moderately expensive drops for the rest of my life (or until I go blind.) Drops are basically the same treatment my grandmother got when she was diagnosed in the 1960s. I think its just a too much of a cash cow for anyone based in the US to investigate a real cure.
A lot of this is down to deliberate API limitations of social networks, that are implemented to make them more walled gardens. For instance being able to reverse syndicate comments and likes from FB to your blog should be trivial, but AFAIK not allowed in the FB API.
Huh? None of this is true for a lot of core recent work. A very obvious example is transformers, which did not come out of academic research (or DeepMind for that matter) at all.
After the bogus "Big Hack" story, Bloomberg's credibility in this subject area is in the gutter.

The article you link to is vague about what, exactly, Huawei supposedly did. If the US or Australian government had solid evidence of something like that the article claims, I have no doubt that they would be shouting it from the rooftops.
I found a secret demo page that shows in real time how they assess any sound file's mood swings along with number of detected laughs, coughs, etc. Guessing that ability is involved somehow.
Would using Cozo make sense for a social network? Certainly would make modelling comments easier but how well does it handle many concurrent users?

Can you intermix different storage engines as well? So e.g. a user could have a personal storage using sqlite but also easily save to a rocksDB storage as well?

In regards to the timetravel capabilities, can this be leveraged to implement git-like features querying these historical points in time in the data?

Also just curious your thoughts on how secure data is within Cozo? Or asked another way, how production-ready is Cozo. I know it's still early days but could Cozo be used as the primary database in a product being delivered today?

Great work all around, really awesome to see!
The graph labels 767M for "clinical research studies" and then says many studies haven't started or are in early stages, but...

does that mean the money is already spent and those studies will require other money?

or that the money is allocated to the only formally announced study but hasn't been spent yet?

or that the money is allocated to 5 mostly-yet-unknown ones?

The latter seems like the best case but one wonders why these 5 observational studies would need that much, and if there's any mechanism for pulling some of that funding back?

EDIT: there's a bit "The agency said $811 million has been legally committed to various activities, and the rest is earmarked to support future research activities." so it seems like the last part, so: hideous mismanagement to promise to spend that money in fixed ways regardless of results...
Sounds like they are a consulting group.
St. Elmo's Fire
This is amazing. I've been using Dukascopy and Wise, but good to see more options, for my country. Just curious, did you use LLMs to parse and organize all those information? Also, how did you source the EMIs for this list?

> It currently has 170+ banks/EMIs and it's mostly focused on individuals and businesses from Europe

Europe and US/Canda have plenty of options, would love to see more EMIs for other regions. Still a great list.
I have a FWD and AWD variant of the same car in my driveway and call bullshit.

Why is it so hard to believe that a product that advertises 30-50% improvement in traction results in a lesser improvement than doubling the area over which tractive force is applied?

I used to drink the snow tire kool-aid until I bought a set for the FWD car of and realized that better straight line stopping distance and cornering ability don't actually help you because being able to controllably put power to the ground is still the bottleneck in the "is it reasonable to drive in these conditions" equation by a mile and while they help they are nowhere near a replacement for doubling the contact patch that force goes through.

Sure, they get me a little bit of margin to be an idiot and come into turns too hot or stop short but I wasn't really doing that stuff in the snow anyway so the benefit is lost on me (and people adapt their driving style to the performance they have available so how big is the benefit really?) and they still don't make the FWD car climb my damn street like the AWD car does so I don't buy them anymore. I keep chains in the trunk for the really bad days.

The FWD/RWD nit picking is mostly irrelevant IMO because any fundamental difference is far less than the vehicle to vehicle difference within or outside a given category. Better handling in the dry more or less directly leads to better handling of the same type in the snow. A RWD box truck will out hill climb a FWD minivan but the latter will out corner the former and a Miata and hot FWD hatch will be better than both at everything.
Yes!

The West pretty much decided that Russia invading Ukraine is "bad," and if they want to be pacifist or anti interventionalist then they need to commit to that instead.

Otherwise, there's no point in holding back low cost support because of the 0.1% chance these countries will need their massive land war surplus. That is incredibly selfish, and for Europeans in particular, it cleary isn't necessary for any opponent they would border (like Russia) in a defensive war.
Indeed, that is exactly what I mean. There are some caveats though -- eventbridge doesn't give strict ordering or exactly-once delivery, so some work is needed to make idempotent consumers, etc. But, on aggregate, it's still much much easier than managing all the infrastructure that k8s and kafka requires.
I know this discussion is a bit old at this point, but I came across this[1] essay for the first time today, and this shows more of what I was trying to get across earlier in the thread. Hopefully you'll find it interesting. Essentially, they trained a GPT on predicting the next move in a game of Othello, and by analyzing the weights of the network, found that the weights encode an understanding of the game state. Specifically, given an input list of moves, it calculates the positions of its own pieces and that of the opponent (a tricky task for a NN given that Othello pieces can swap sides based on moves made on the other side of the board). Doing this allowed it to minimize loss. By analogy, it formed a theory about what makes moves legal in Othello (in this case, the positions of each player's pieces), and found out how to calculate those in order to better predict the next move.

[1] https://www.neelnanda.io/mechanistic-interpretability/othell...
I'm sure someone was scoffing at how "ridiculous" it was the first moment a farmer took a Tin Lizzy into the field and it needed a new clutch. Technology "in the field" is so normal that it is an idiom.
OpenAI is growing revenues from ~0 in 2022 to $300M in 2023 to $1B in 2024. That sounds like a product to me.
Yeah, Google needs to make sure that their research doesn’t go the way of Xerox PARC.
Current issues with the Qt project from the outside looking in
Remember that at the time no one put a main-frame class chip on a single die - the 68ks/32ks, and much later 386s were the first generation who managed to pull off putting a large architecture on a chip (I'm trying to make a distinction here between architecture and what particular implementations could do) - in the early 70s mainframes were the size of basketball courts, in the late 70s/early 80s they were the size of a large fridge (and disk drives the size of a washing machine).

So splitting it all in 3 wasn't necessarily the crazy idea we might think it is today - it still all fitted on one circuit board!
There's no money in investigative journalism.

Good stories take months (sometimes years), so you need hundreds of good journalists to make good stories in a high enough frequency that people would even consider paying for a subscription.

You're either chasing public grants (and people always question your impartiality), or you die. You can count on one hand the ones that have been in this game for longer than a decade and even then you'll have fingers to spare.

Today we lost a great one.

Disclaimer: I work for OCCRP.org which I would (subjectively) put in the same basket. No Pulitzer yet, but we got a Nobel Peace Prize nomination this year!
Are economists still claiming the market is rational? This is proof to the contrary.
I think in this context “execute” implies “create traction with a real-world product”. Given that even politicians and comedy shows are talking about ChatGPT, I think it’s fair to acknowledge that Google is lacking in this area.
You can move on to pointing out Teen Vogue. They've done some excellent serious coverage, including about abortion.
I have never heard of a case where such a scheme, blocking road access with a narrow strip of property, lasted longer than 48 hours in the U.S.

Can you link to any examples?
Some people, when confronted with a problem, think "I know, I'll use the federal government." Now they have two problems.
Everyone secretly thinks they're a tech (or general) genius and will (eventually) be a tech tycoon. An extension of the "temporarily embarrassed millionaire thing".
I don't see why anyone would ever use Google anything for a business critical use. They seem allergic to providing customer support for anything other than advertising.
Is ChatGPT domination hitting Stack Overflow?
Its been fairly common knowledge for years that "Buzzfeed News" was an actual reporting arm.

The question you pose insinuates that you assume "Fox News" is mostly Simpsons and Family Guy reporting.
The anti-Japanese hysteria of the 1980s suggests otherwise.
Jeff Dean is the reason OpenAI has beaten Google as it stands today. Not much weight in it being a good decision. He was too risk averse.
One that he iterated a lot on was a titled we called "Alan Turing and the Spiders from Mars".

It was a multiplayer game (most of his games were, because the AI is free when you can just give another player a joystick). It was a simple 2D top-down sprite-based animation with:

- A ton of robots on the screen, milling around and doing stuff.

- Up to three players controlling their own robot (with the rest being computer controlled).

- A "finder" player who controlled a cursor and got a limited number of guesses as to which robots were controlled by real people.

- The players could win by fulfilling some simple missions ("pick up the blue blocks / visit each corner of the screen"), the finder could win by identifying the players without running out of guesses.

Reminds me of a certain popular modern online game . . .
"but I'm not sure where to go from here. I don't know how to take my knowledge and transfer it elsewhere or what my future career looks like"

Don't think like this. You learned how to build resilient software over a decade. That can be applied to any company with complex software needs. Fashion industry experience is not relevant and doesn't mean you cannot work in another industry.

Focus on your strengths. Make a list of your achievements. You probably haven't done this for a long time if at all. If you can solve problems, you can find a job at a company that could use your skills.

"should I take my opinions and start a company where I solve this company's needs in my own way and offer it to other companies as a SaaS"

That is a whole another discussion to have. Starting a company is no joke (I run one). Also be careful about starting in same industry as your current employer because there could be potential legal issues that you should be careful about.
I can't imagine relying on private SBAS when DIY RTK is so cheap and easy now. Sparkfun will set you up with your own base station hardware for under $1000, I wonder what a year of inmarsat corrections costs.
A valid question. The best answer is flexibility. On AMD64, I am guaranteed to be able to run pretty much any OS I want if my needs should change. OpenBSD, FreeBSD, weird Linux distros, whatever. Comparable ARM boards, however, tend to only work with Linux and have highly variable levels of support at that. Support can wane depending on interest and level of involvement of the community.

A Raspberry Pi would be an excellent choice if they ever offered one with multiple gigabit interfaces. But it's the only ARM board I would currently consider for the role.
There is a lot of reforestation happening in Europe. In France for instance the low time for forest was in the 17th century and since then the forest surface has doubled and is steadily increasing.

You could also note that now Japan has more forests than Brazil in percentage of the territory while having a much higher population density, and that Brazil used to have double as much forest than Japan around 100 years ago.
Like technology doesnt progress and we should just give up /s
I am really excited by the broadband consumer label the FCC is working on [0]. I think we need to see more government enforced highly-standardized labeling of products and packaging. I'd ideally like to see such labeling be expanded to food packaging, food processing facilities, cosmetics, soaps/detergents, clothing/clothing processing, jewelry, wearable tech, furniture, bedding, tobacco, alcohol, cannabis, vape liquid, vape devices, housing materials and essentially anything that comes into prolonged contact with the human body or is designed to be ingested by the human body. Some of these already have labeling provided, but I find it to be mostly inadequate for the type of information I want to know before consuming.

We should have a "inform consumer first" attitude for product ingredients, packaging, and manufacturing conditions. Trade secrets should being a distant second concern with increased liability for undisclosed information.

In regard to PFAS and general plastic concerns, I've started limiting my exposure to plastic products. This process started 5+ years ago. It is essentially impossible to eliminate plastic. I am focusing on food packaging, textiles, housing finishes, and computer input devices.

Edit: Exact information that would adjust my consuming behavior: "Which pesticides were used in growing this food", "what is the exact type of plastic this bottle is made out of", "was this beverage or it's primary ingredients stored in plastic before being bottled in glass"

[0] https://www.fcc.gov/broadbandlabels
I hear that Demis had been fighting this for a while. I guess he lost.

Which..... of course he did. They don't make any money. That's ultimately how these decisions are made.

I talked to one of their in-house recruiters (or HR or whatever) some 5-6(?) years ago. I asked them how they make money, they gave me a really muddled answer. It had the word "clients" in there. I didn't understand, so I tried to clarify, I said "oh, you make revenue from consulting for your clients?". Then they gave me a crystal clear answer, they said: "No, we're a lab". I noped outta there really fast.

In retrospect, I was right that I wouldn't have made any money, but might've been a good boost for my CV to do for a couple of years.
> gmail.zip

Despite what people often write and believe here, the access controls on PII data at Google are incredibly strict. You can't just arbitrarily train on people's personal data. I know, because when I was there, working on search backend data mining, in order to get access to anonymized search and web logs, I had to sign paperwork that essentially said I'd be taken to the cleaners if I abused the access.

> What gives, Google? Get on it

It's a very difficult decision to intentionally destabilize the space you are the leader in, for all the reasons you can imagine. In a sense, Google needed someone else with nothing to lose to shake up the space. How they execute in the new reality is yet to be seen. The biggest challenge they may have right now isn't technological, but that "ChatGPT" has become a sort of brand, like Kleenex and well, Google.
well in early 2007 that would have been fair feedback :)
https://www.buzzfeednews.com/ and buzzfeed.com are similar but different.
this thinking in the previous industrial age created the poison wastelands of Ohio. Mudslinging with the tag "American Gothic Farming" adds to the arrogance of it all. American farming is largely a flaming disaster on top of destruction, with other would-be plantation owners racing to copy it. Plenty of blame to go around, and this contrite endorsement of all and anything futuristic, ain't the cure.
GPT, CLIP, Dalle, RLHF, these are all novel
Yeah I have to agree, I'm sure it's nice to be able to get published and I've heard the market isn't too easy to make a mark, but as for the company, they won't exactly be missed.

On a side note, it's a little bit comforting to see that companies like this don't strive.
Oh yes, the Ottomans very mighty sophisticated. They just didn't know how to build cities, so they took other peoples'.

Orthodox? Which kind? I grew up Greek Orthodox but then I grew up more atheist.
(Apologies for all the post edits, I'm a noob at long-form text on HN)
TensorFlow was honestly not that good. It had a lot of effort put into it, so it worked, but there are reasons people moved away from it.

I think Jeff Dean is a great engineer, but I wouldn't hold up TensorFlow as a great example.
Good to hear. I would love to see more of it.
mathematical intuition? positive numbers when multiplied together always equal numbers larger than either of the multiplicands...

hardly a rigorous proof, I grant you, but surely true?
this was a test, they didn't have anything left to test except for a flight. delaying would be pointless, everything else had already been tested.

edit: one other thing, they crashed and burned a lot of starships too. I don't see this being that different it's just bigger.
Low-Code LLM: Visual Programming over LLMs
Show HN: Play the front page of Hacker News as interactive text games
Hey HN, I hacked together this fun project that lets you play any article on the front page of Hacker News as an interactive text game.

You can create a game about anything by going to infinityarcade.com/<anything you want goes here>

You can also use a URL, which is what this page uses.

The whole thing is open source: https://github.com/themaximal1st/InfinityArcade
> pandemics are relatively rare and distinct. So they're a classic example of a bad thing to average...

so you pick the worst one for your example?

this is exactly what averaging is for, but averages need to be interpreted with standard deviation, and sure, there may be better statistics to use too, like if we're going to use worst-case, then we should see a rank ordered list

statistics are useful because they tell a story, but they can't tell the full story. Believing the science has always meant "by being skeptical" and it's irritating that so many in the mainstream don't want the narrative to be poked at
Ironically, "old old space" = Soviet space was so damn good at innovating it probably would have made SpaceX look old-fashioned. Really I don't think there's a fundamental reason why we can't have two SpaceX's (Spaces X?) so why is there no other?
It's far far worse than workers lazing off. It paints a picture of a great "hollowing out" of our society as each member pulls away, "The tragedy of the commons" taken to its far conclusion. Trust is a necessary condition for a decent society and we've not given the little people many reasons to trust the system.
Of course, this attitude is one of the biggest reasons inefficiency goes unchecked. If the opposition option is simply to bang a drum of "do nothing at all and wash your hands of problems" then all the inefficient agency has to do to maintain the status quo is "look like a less bad option than doing nothing at all."
Active Learning Strategies Compared for YOLOv8 on Lincolnbeet
TLDR:

Machine learning applications in agriculture have an incredible impact on water, herbicides, pesticides, and fertilizer usage! In many cases, a reduction of up to 50% is possible by using ML for precision spraying.

Excited to share the impressive results on active learning in agriculture that Igor Susmelj just published!

Leveraged active learning to supercharge our YOLOv8 model for lincolnbeet (sugarbeet and weed detection).
Boosted mean Average Precision (mAP) by up to 14.6x compared to random image labeling.
Active learning reduced annotation costs by up to 77% - perfect for optimizing your annotation budget!

It's incredible how data selection by using active learning can make such a huge impact!
This seems like a great use for having a differential RTK GPS receiver at a known good location at the edge of a property. Once it's set up, the moving receiver can use the stationary receiver as a source of correction instead of relying on SBAS or WAAS.
Seems like a good way to prep a customer support bot for your product. Could also be used to generate a trained chatbot on your codebase and docs
Google could stop sending traffic to webmasters and pivot to directly providing answers based on scraped data long, long ago, but Google knew webmasters would be up in arms over such a blatant bait and switch taking away their traffic and revenue.

OpenAI subverted this by riding on the “open” part of their name at first—before doing a 180-degree turn and selling out to Microsoft.
English is classified as a Germanic language by linguists not because of any real properties of English-as-she-is-spoke now but because of its genetic heritage.

It's a little more subjective, but I also kind of disagree with the rest of your comment. Uncleftish Beholding uses Germanic vocabulary but the grammar and structure is modern English, so the fact that it's possible doesn't reflect anything, one way or another, on whether "the way thoughts are stacked up and laid out" in modern English is Germanic or Latinate. Broadly, the way thoughts are stacked up and laid out is pretty similar in either family (compared to, say, Japanese), but if anything modern English resembles French in this aspect just as much as it resembles German, notably in how English and French have both become mostly analytic, whereas German has remained comparatively synthetic.

The reason Uncleftish Beholding is possible whereas a Latinate version isn't is simply because commonplace grammatical words (articles and the like) remained Germanic in English, even when there were similar enough equivalents in French. But, again, the origin of a language's commonplace grammatical words don't determine a language's classification - genetics do.
AMD Posts New Linux Patches Enabling Dynamic Boost Control
Yes, it's annoying that Microsoft are doing this. I have an OTP app, most things support standard HOTP or TOTP so I only need one app. Azure seems to have started to insist that you use a Microsoft app or SMS.