skysight-inc/HackerNews huggingface dataset:
Microsoft keeps the old UI. At least Apple replaces it.
What's the cost benefit vs. Nvidia? Is it cheaper?
It's kinda noticeable when that happens but it also makes sense that a lot of people will individually read the article and post similar sentiments at similar times, even all within 3 minutes. If they were all green names there's probably a point but it's another matter to think that some anti-Apple organization is just sitting on these accounts for years waiting for their moment to strike.
> Explicit language handling. The keyboard will add explicit language that you use to your personal vocabulary list and will learn this usage for each different app. Explicit language that is learned is used for autocorrect and suggestions

This is ducking great.
You mean if Google Assistant was backed by an LLM instead of whatever combination of tools is backing it now?

Yes, 100% this is correct. And its been fairly overtly the direction Google’s AI efforts have been directed at since long before “LLM” was the an implementation technology they could use for it. If Google was any good at productizing its AI efforts, it would already have happened.
In my location, lamb is closer to $10/lb (at grocery stores - higher at butcher), while I can get (grass fed, super high quality) beef straight from the rancher at less than $4/lb.
Doesn't Apple hold a monopoly on the iPhone/iPad ecosystem?

Why am I not allowed to install Firefox or Chrome (real Firefox or Chrome)?
But every time you opened one it would also open a separate Chrome window that you had to keep open, which made them kind of useless.
There's a ton of cool opportunity in the runtime layer. I've been keeping my eye on the compiler-based approaches. From what I've gathered many of the larger "production" inference tools use compilers:

- https://github.com/openai/triton

- https://github.com/NVIDIA/TensorRT

TVM and other compiler-based approaches seem to really perform really well and make supporting different backends really easy. A good friend who's been in this space for a while told me llama.cpp is sort of a "hand crafted" version of what these compilers could output, which I think speaks to the craftmanship Georgi and the ggml team have put into llama.cpp, but also the opportunity to "compile" versions of llama.cpp for other model architectures or platforms.
Chrome is available (and dominant) on desktop yet Firefox and a dozen other alternatives are doing just fine. There's no reason why it shouldn't be the same on iOS.
>> But if an EV costs 25-40% less than an ICE, and your car company cannot make those vehicles, your car company will cease to exist in short order.

There is not a single EV car that is cheaper than an equivalent ICE car(subsidies don't count). There in lies the rub.

EVs may be cheaper to produce, but the current EV manufacturers seem hell bent on exploiting the customers.

Give me an affordable EV corolla at similar price as the ICE one and I won't blink for any other car.
I think this is a warning shot. It'll be a while until EU actually files a case, and more time until it's adjudicated. And then Apple will fight it tooth and nail. Do not hold your breath.

"Open everything up" -- pretty vague.
I never said religion was correct. I said that science tries so hard to differentiate itself from religion that it labels anything that doesn’t appear to be logical as pseudoscience. Since the subconscious isn’t logical, subconscious issues get ignored.
It's a new law already in effect.
Interesting data. I grabbed the CSV, cleaned it up and created an interactive searchable map with RAMADDA -
https://ramadda.org/repository/a/fossil_locations
Turned Notion docs I actually use to plan ProductHunt launches into templates.
As I move into my second decade as an educator (started as a teaching assistant around 2012, now a history professor) it's been really interesting seeing what "sticks" and what doesn't. A couple years back I made a Simpsons reference that I know would've landed with my students from circa 2015, but it was crickets. However I feel like certain movies and other cultural productions from as far back as the 70s are still on students' radar -- like Scorsese films, for instance.

I've got a two year old daughter and as she gets older, I'm tempted to show her old episodes of the PBS show Nova and the original Cosmos so we're on the same cultural wavelength, but I probably shouldn't try to force it. She was born with an illustrated box set of the Lord of the Rings already sitting in her room though ;)
I don't know, your easy access to alternatives that've let you not "look back" kind of undermines the argument that they wield monopolist power, doesn't it? And should FTC suits really be vehicles for shaping public perception, even if, as you suggest, the claims are either not defensible or don't constitute violations?
> What other transit ISP gives you a discount because the traffic is local?

You don't need transit for local traffic, the destination network is already in the same IX as you are. Transit is the thing that carries traffic from one IX to the others.

> Do you or your customer get a discount when you're both only connected with a transit ISP? No, both parties pay for connection to the transit ISP (even if it's the same).

If you and your customer are both in the same IX you don't use a transit ISP at all.

> If you want to connect to customers behind ISP A, you typically need to pay an ISP that's connected to ISP A, or pay ISP A, or qualify for peering with ISP A. If you and ISP A are both paying ISP B for that data, then there's motivation for you an ISP A to peer; if not, ISP A says we're happy to take your traffic through peering with these ISPs or you can pay us for a direct connection.

Paying Cogent (or Comcast) to carry traffic from one IX to another is normal; otherwise you would need to run your own fiber or have a presence in the other IX and it allows you to avoid that cost.

But if you do have a presence in the other IX, what are you paying them for? It's just a monopoly rent because they control the only network path to their residential customers.
I just love Ballard and pity that I took so long as a science-fiction fan to discover him, but of course he is one of those "science-fiction" writers who isn't solidly part of the genre.
Grocery stores do this all the time and undercut brand names. They even put up signs with "compare to <brand name>" by the generic. I'm really not sure how you could make the case that it isn't legal given that it is a long standing and accepted practice, and is clearly beneficial to the consumer.
Assuming carbon capture can be 100% efficient (preposterous) meaning it takes an equal amount of energy to remove the carbon as we got when we burned it, then we would have to devote an equal amount of renewable energy watt hours to the project.

The rest of your analysis is quite correct but this is too pessimistic. You don't have to turn carbon dioxide back into fuel to get it out of the atmosphere. You only have to turn it into a stable non-gaseous compound, like magnesium carbonate. That can be done by crushing silicate rocks rich in alkaline earth metals, like olivine, and spreading them in coastal areas to get exposure to water and wave action. The magnesium silicate exchanges with carbonic acid to form magnesium carbonate and silica. The chemical reaction is thermodynamically spontaneous. The energy input to crush the rocks is just to accelerate the kinetics of weathering by exposing more surface area.

It's an accelerated version of the geological carbon cycle that naturally removes CO2 from the atmosphere:

http://butane.chem.uiuc.edu/pshapley/Environmental/L29/2.htm...

See section 7.2.2 of this IPCC report "Mineral carbonation and industrial uses of
carbon dioxide" for the chemistry and thermodynamic considerations:

https://www.ipcc.ch/site/assets/uploads/2018/03/srccs_chapte...
Yeah, don't. Buy an Nvidia and get shit done.
He wasn't talking about Israel. He was talking about Jews. Are you intentionally not reading what he wrote? I don't understand why this is a hard thing to understand. There is a huge difference between criticizing Israel and advocating for collective punishment of Jews. OP was doing the latter.
For figures or issues mired in controversy, for better or worse, you never see edit wars.
> in charge of banning citizens from flying ever again, violating citizen's rights and more.

You should speak the language people would understand.

"in charge of banning citizens from ever seeing their beloved on the other side of the country, violating citizen's assess and genitals and more"

That people understand
It seems it was spread out in different ways over time- you can read various amendments to the '90 directive that started to make specific things mandatory instead of optional in the opening parts of Directive 1999/10/EC [1] - there had been amendments for specifics on sweeteners and such before, and in '99 a few more things mandatory depending on claims by the manufacturer it seems...

but as far as I can tell there was no obligation in Europe to have the level of detail about fats, sodium, etc. like the US's labels had until even later- maybe 2006? [2] and there was the last major change it seems in 2011 which is what is still essentially in place today. But yeah, it seems like the level of information made mandatory and not optional wasn't like it is today until around or maybe slightly after the Millenium.

[1] [PDF] https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:...

[2] https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:02...
I don’t really understand why a government would suppress evidence of extraterrestrial visitors. I guess one could speculate about a desire for technological advantage over neighboring states, but even that seems flimsy. The discovery of extraterrestrial intelligence would be the single greatest discovery of humanity! I struggle to imagine how anyone, let alone a large conspiracy, could hide that news.
As far as I understand it, AMD basically has to do this because games are going to increasingly rely on LLMs & generative AI operating simultaneously with the graphics pipeline.
The "won't someone think of my mom" argument. Somehow we get by just fine on x86 with arbitrary software being allowed, but for IOS it's unthinkable?
> Doesn't that require breaking glass in Secure Boot these days

You mean turning off system integrity protection? No. I have both ext4 and NTFS from Paragon, and didn't have to do that.
I find Ballard kind of mesmerizing but frustrating. Crash I quite enjoyed, but other short stories I often felt his concerns and subjects quite alien. I join just about everyone else in saying read him, but I would never say he was prescient, as some do. He was chasing after something that feels kinda foreign to me. Too English for me maybe?
Google's thing is just a default, no? Consumers can change it?
If anything, it's android that is turning into a more closed and restricted environment.
Looks great! I don't normally like these LLM libraries but this one sparks joy. I'll try it out on my next experiment.

Could you highlight how you're parsing to structured objects and how it can fail? Ever since I discovered guidance's method of pattern guides I've been wanting this more and more (only works for local hugging face models though). Wish OpenAI offered a similar API.
Very cool! I can't seem to get the script editor open in the demo though.
Anyone know what's up with CGPDFService and why there's so many instances eating up my cpu?
A shadow stack of return addresses would help.
No, but if a Canadian engineer put their stamp on work that was this sloppy, an apology wouldn't suffice. They'd be suspended at least, or likely even lose their license permanently. Even if the work was prepared by their subordinates and just handed to them to sign off on it.

Why should the Speaker of the House be held to a lower standard of diligence, especially when their actions have international geopolitical consequences?
Beginner's Guide to MongoDB and Atlas
Available in orders of up to 10,000 GPUs today - no shortage

More than 10x cheaper than allocating machines on a tier 1 cloud - AWS, Azure, GCP, Oracle, etc

More memory - 128GB HBM per GPU - means bigger models fit for training/inference without the nightmare of model parallelism over MPI/infiniband/etc

Longer term - finetuning optimizations
The important fact is missing - can you touch it?
I flagged on disband, not on curtail and was questioning that - but its clear some of the parallel commenters do want disband - not just curtail.

Yeah, I'm fine with getting rid of the millimeter wave body scanners, the rules on liquids, all of that noise. I think it should be a little more stringent (meaning still centralized scanning, and you can't go thru unless you can go thru a magnetometer clean or get a pat down) than pre-9/11 - but much less than the theatre we have now.
We don't get by fine on x86. That is the whole point here. My non-technical family are able to make their iOS devices "just work" with 0 support.
Logically, probably. They may choose to change their operations based on this ruling because they could expect a similar ruling against them in the future. I would personally expect them to continue operating as they do until/unless there is a such a ruling.
Although hydrogen is claimed to be a zero carbon fuel, a lot (most?) is created with natural gas.

https://en.wikipedia.org/wiki/Steam_reforming
as long as the first party iOS experience is still solid, I don't care. If apple has to prevent updates / services to 1p services because 3p cannot keep up, then I'd be pretty incensed. There is a reason i left android last year!
> It didn't take long to prototype. Polishing and shipping it to non-expert users would take much longer than I've spent on it so far. I'd have to test for and solve a ton of installation problems

I've found some success at this by using Nix... but Nix is a whole 'nother ball of yarn to learn. It WILL get you to declarative/deterministic installs of any piece of the toolchain it covers, though, and it does a hell of a lot better job managing dependencies than anything in Python's ecosystem ever will (in fact, I am pretty sure that Python's being terrible at this is actually driving Nix adoption)

As an example of the power Nix might enable, check out https://nixified.ai/ (which is a project that hasn't been updated in some months and I hope is not dead... It does have some forks on Github, though). Assuming you already have Nix installed, you can get an entire ML toolchain up including a web frontend with a single command. I have dozens of projects on my work laptop, all with their own flake.nix files, all using their own versions of dependencies (which automatically get put on the PATH thanks to direnv), nothing collides with anything else, everything is independently updateable. I'm actually the director of engineering at a small startup and having our team's dev environments all controlled via Nix has been a godsend already (as in, a massive timesaver).

I do think that you could walk a live demo of this into, say, McDonald's corporate, and walk out with a very large check and a contract to hire a team to look into building it out into a product, though. (If you're going to look at chains, I'd suggest Wawa first though, as they seem to embrace new ordering tech earlier than other chains.)
maybe because time series forecasting, for any time series of interest, is pretty much not possible.
Show HN: Cels – A bit less YAML/JSON struggle
I'm pretty sure my health is taking a hit from too much exposure to YAML and JSON. And, although I try to keep a positive attitude, I still am a bit annoyed by the fact that we are on the brink of being wiped off the face of the Earth by AI toasters and fridges, and we still don't have a straightforward way to patch these formats.

We have Jsonnet, CUE, YTT, Starlark and Dhall. But I don't want to learn a new programming language to patch some YAML. Most of the time, I just want to take a base document and a snippet and say, "Hey, for the stage environment, apply this snippet over the base file". The jq and yq tools come close, but they start to get really messy once you need to modify a file in more than three places.

So, for the last couple of weeks I have been developing Cels, which is a tool to patch YAML, JSON and TOML files with a very simple syntax, while it lets you modify the original document in multiple ways. You could think of it as a bit of an extension to RFC 7396, which is a great way to patch JSON documents, but it's
quite limited in its capabilities.

I really enjoyed creating this small package and hope it can help some people avoid getting traumatized by Helm templates.

ps. Just kidding, I still use Helm, but I like Cels more.
Exactly. People might trust AMD if they continue to invest in this for the next 10 years.

It's clear it wasn't a corporate priority. Convince people it is via sustained action and investment, and eventually they might change their minds.
I for one look forward to there being a franken iphone in EU covered with ads and malware. Apple should give them exactly what they want. Every major software company will have their own app store for their apps. It will be glorius!
There is no interview, its just a fingerprinting.
Why don't you set up her iphone as a managed device so you can stop her from doing that?
Feels like it's always "potential for"... sigh
I'd feel more ok with touching an SR-71 at an AFB or the Evergreen museum, but the SMITHSONIAN? Never! :)

Was it rough or smooth? It looked smooth but I wonder if it felt rough!
I am adjacent to personal LLMs at work. They've been trying to make them work for a number of years.

LLMs make it simpler to query the data, but its not quite there yet for useful work.

For example if you have an assistant and you talk off and on about booking for $band, they will know that you like music, and that genre. They can alter the context of replies to suit.

With LLMs, the link between shortterm and long term recall is broken.

Now, this might be partially solvable by having an intermediary LLM that search the interaction database for context and feeds it into the main interaction LLM. But I'm not convinced that its a long term or viable solution. the LLM is not building a personal insight into your responses, its just having one shot context injected.
Is it not a valid question? Very curious.
It has nothing to do with games. The market outside of games for compute is much bigger at the moment with the AI hype, and AMD is positioned to take a good slice of it, if they get their software stack in order.
Disclaimer: I haven't looked at the linked library at all, but this is a theoretical discussion which applies to any task of signal prediction.

Out of all possible inputs, there are some that the model works well on and others that it doesn't work well on. The trick is devising an algorithm which works well on the inputs that it will actually encounter in practice.

At the obvious extremes: this library can probably do a great job at predicting linear growth, but there's no way it will ever be better than chance at predicting the output of /dev/random. And in fact, it probably does worse than a constant-zero predictor when applied to a random unbiased input signal.

Except that it's also usually possible to detect such trivially unpredictable signals (obvious way: run the prediction model on all but the last N samples and see how it does at predicting the final N), and fall back to a simpler predictor (like "the next value is always zero" or "the next value is always the same as the previous one") in such cases.

But that algorithm also fails on some class of inputs, like "the signal is perfectly predictable before time T and then becomes random noise". The core insight of the "No Free Lunch" theorem is that when summed across all possible input sequences, no algorithm works any better than another, but the crucial point is that you don't apply signal predictors to all possible inputs.

Another place this pops up is in data compression. Many (arguably all) compressors work by having a prediction or probability distribution over possible next values, plus a compact way of encoding which of those values was picked. Proving that it's impossible to predict all possible input signals correctly is equivalent to proving that it's impossible to compress all possible inputs.

Another way of thinking about this: Imagine that you're the prediction algorithm. You receive the previous N datapoints as input and are asked for a probability distribution over possible next values. In a theoretical sense every possible value is equally likely, so you should output a uniform distribution, but that provides no compression or useful prediction. Your probabilities have to sum to 1, so the only way you can increase the probability assigned to symbol A is to decrease the weight of symbol B by an equal amount. If the next symbol is A then congratulations, you've successfully done your job! But if the next symbol was actually B then you have now done worse (by any reasonable error metric) than the dumb uniform distribution. If your performance is evaluated over all possible inputs, the win and the loss balance out and you've done exactly as well as the uniform prediction would have.
Yes, but 1Password standalone is missing many of the features of the subscription service that would be impossible to implement without it.
The difference being the UK Parliament executed the last uppity monarch who tried to tell them no.
Yes. I've tried using it for pretty straightforward time series forecasts, and I struggled to make it into something useful in a business context.

I'll disclaim that I'm just a finance dude and not a data scientist or programmer. But the documentation leads me to believe that I am in the target audience. I felt like I could grasp the basic mechanics after reading the paper, but I wish the documentation could help someone like me be more intelligent with the 'tuning' of the model. I could never get accuracy below 15% average error, which is too large for my use case.

Probably user ignorance, but that's my experience.
> Legal immunity is impunity in the common English sense

The headline says "rejects claim of impunity". There is no such thing as a "claim of impunity", even if the word "impunity" can often be substituted for "immunity"
I used to think this till I tried it. I built a product and users weren’t willing to even try it.

Now I try to validate that users want it before I build it, easier said than done.
We don't get by just fine - there are lots of viruses. But it is much easier to install an iPhone app than a program on your computer, so it is definitely more likely.
I'd be curious to see how it performs on economics data compared to mainstream models (say DSGE) whose results have never impressed me with their predictive power.
As someone that was into DVDs from other regions, this comment is laughably wrong.

Edit: Heck, just playing movies on my computer DVD drives was less than straight forward. For the longest time you basically had to feel like a hacker to get it working on a linux machine.
Do you speak/understand more than one language? Honestly wondering, because if you do, I don't think this would be something you would think to be possible.
I do have large hands too but i dont feel the need for swipe. I use the autocomplete function much more
Those are not considered general purpose computing devices under the current legislation, so no. It's currently targeted at mobile phones.