skysight-inc/HackerNews huggingface dataset:
You can support TSX and not support client side rendering. I never said anything about client-side rendering. There's no client-side dependencies to TSX at all. Even optionally depending on `lib.dom.d.ts` for a nice Types experience from a .d.ts file doesn't really mean a client-side dependency as a types-only dependency.

The functions in Boxwood are so close already to the necessary shape for a JSX function (it's just `jsx(tagNameOrComponentFunction, properties, children)`) there's not a lot you actually need to do to get nearly "free" JSX support even if you didn't want to put the work into a .d.ts file to get nice Types back out and just did `export type JSX.InternalElements = any`.

That said, the point about `lib.dom.d.ts` is that building the types can be a lot easier than it seems and need only a couple dozen lines to support a lot of rich typechecking including MDN documentation links in hover tooltips.

From personal experience, with multiple libraries, it is a really nice developer experience to have good TSX type checking and type documentation. Auto-complete along speeds up template development and the number of times I've used the MDN link in a property (attribute) hover to check support statistics or edge case notes in the documentation is surprisingly high.
CSS Connect Four
It is a solution to a problem, not a solution to every problem.

If you want to solve procreation them you can do that without humans having sex with humans.
I was just hearing about startups doing speech to text/ text to speech to feed into llms. Might be a bad time for them.
Why does this read like it was written by IBM's marketing department?
Aluminum cans are plastic lined.
For me, you nailed it. Maybe how I feel on this will change over time, yet at the moment (and since the movie Her), I feel a deep unsettling, creeped out, disgusted feeling at hearing a computer pretend to be a human. I also have never used Siri or Alexa. At least with those, they sound robotic and not like a human. I watched a video of an interview with an AI Reed Hastings and had a similar creeped out feeling. It's almost as if I want a human to be a human and a computer to be a computer. I wonder if I would feel the same way if a dog started speaking to me in English and sounded like my deceased grandmother or a woman who I found very attractive. Or how I'd feel if this tech was used in videogames or something where I don't think it's real life. I don't really know how to put it into words, maybe just uncanny valley.
There are butchers in the supermarkets (at least the one I go to)
Kind of rough for those of us that prefer sand and grit unsliced break though..
It looks like hyper scalers can still host it as long as they are publishing changes to the source code ? Am I reading the license right ?
That may be how AI ends up saving the Earth!
huh, I originally thought this would create unusually long URLs, but if it's just the sequence of moves it could stay pretty small.

might more fun too, representing each state of play instead of just the board position.

Also easily compressible if size is an issue: https://mbuffett.com/posts/compressing-chess-moves

Would also mean all rules can be represented, and you'd be able to do cool things like highlight the previous move that was made.

Nice, ok, might try and add this.
If I were to do this on a certain chip and put it in a random person's car, wouldn't they get a message showing 'X found moving with you'? Or is that only implemented for AirTags themselves?
Remote technical interviews are over.

Have GPT4o running on the background and have it type out the answers as your interviewer reads aloud the questions. Share your screen and let it find the bugs for you in real time. Never get any facts wrong as you smugly correct your interviewer about the minute details of an obscure AWS Route 53 API.
Does anyone know how this model compares to GPT-4 for Japanese output? Taking a look at GPT-4o today, the Japanese example in the landing page feels unnatural and represents a huge regression from the quality I would expect of GPT-4.

With that said, both GPT-4 and GPT-4o seem to do a good job at understanding the semantics of prompts written in Japanese. I would like to see how this model compares, given that it seems like it's trained with more Japanese data (but that may not necessarily be useful if all they did was scrape affiliate blogs)
They're plastic lined. So how is that better?
Corporate real estate on 'cliff edge' as firms race to rethink communal spaces
Is there anyone else here who watches this and thinks that the teaching-a-human part is just an inefficient and unnecessary middle step?

It gave me the feeling of dragging people along for no real reason and just waiting for them to catch up. I mean, if the AI already knows all of this, and anyone can ask it, then what's the value of people learning it?

I get that this is a fear with AI in general (obsoleting humans). But watching this really crystallizes it somehow.
Heh, maybe they should buy OpenAI instead of spending $110Bn on buying back their stock...

In reality, I think we're quite a few generations away from being able to go without a screen (as the Humane Pin has demonstrated) - and I'm sure Apple will be ready with a better AI Pin when the time comes. For the time being, this sits very nicely on an iPhone.
Yeah I watched some yc application videos so now YouTube recommends me heaps of them. Most of them being thin gpt wrappers.
AirTags are allowed in checked bags.

https://www.faa.gov/sites/faa.gov/files/hazmat/packsafe/reso...

The battery would be under the "In Equipment" column, not the "Spare" column.
>People who live in Western cities have no fucking clue what fruits and vegetables are supposed to taste like.

You really have to define what you mean by "supposed to taste like." As in "supposed to taste like what occurs in nature without human intervention" is very different than "supposed to taste like after humans have spent generations cultivating them to be the sweetest variety" which is different than "supposed to taste like when they are cultivated to optimize for logistics."

I suspect what you're referring to with the tomatoes is the last example, because they have been grown and picked to best withstand transit.
"Number One" would be my code word...
> By contrast, text generation has not improved significantly, in my opinion, for more than a year now

With less than $800 worth of hardware including everything but the monitor, you can run an open weight model more powerful than GPT 3.5 locally, at around 6 - 7T/s[0]. I would say that is a huge improvement.

[0] https://www.reddit.com/r/LocalLLaMA/comments/1cmmob0/p40_bui...
The outcomes are not the same.
Simon Rifkind's great mistake and the shortfall on the Colorado River (2013)
This honestly made me lol.

I'm sure 10 years from now, assuming LLMs don't prove me wrong, I'll make a similar comment about LLMs and a new hype that I just made about 3d printing, and I'll get EXACTLY this reply. "Oh yeah, well here's a niche application of LLMs that you didn't account for!".

> how positive are you that some benefits in your life are not attributable to 3d-printing used behind the scenes for industrial processes?

See where I said "in consumer products". I'm certainly not claiming that 3d printing is never used and is not useful. However, what I am saying is that it was hyped WAY beyond industrial applications.

In fact, here I am, 11 years ago, saying basically exactly what I'm saying about LLMs that I said about 3d printing. [1]. Along with people basically responding to me the exact same way you just did.

> how sure are you that ML is not used behind the scenes to benefit your life? do you consider features like fraud detection programs, protein-folding prediction programs to create, and spam filters valuable in and of themself?

Did I say it wasn't behind the scenes? ML absolutely has an applicable location, it's not nearly as vast as the hype train would say. I know, I spent a LONG time trying to integrate ML into our company and found it simply wasn't as good as hard and fast programmed rules in almost all situations.

[1] https://www.reddit.com/r/technology/comments/15iju9/3d_print...
Because it probably was. I believe you can pay ZDNet for placement.
Plastics are one of the greatest, most versatile materials available. If you want to cap plastic production, every single industry and your daily life will be drastically affected.

There are exactly zero incentives for any nation to drastically limit plastic production. As with CO2 these policies will be implemented by many Western nations, while the many, densely populated countries, relying on cheap goods will take no serious actions. Plastic is just too useful.
What if AI chooses the bear?
A quick look back at when Microsoft released Songsmith (2023)
A little time capsule of pre-NN AI.
I have a few LLM benchmarks that were extracted from real products.

GPT-4o got slightly better overall. Ability to reason improved more than the rest.
Yep, exactly what brought that to mind. Multimodal seems like the kind of thing needed for such a far-fetched idea.
Which video title is this?
Is that conversational UI live?
Companies Say They're Using Microphone Audio to Target Ads [audio] (2023)
I would not encrypt the whole operating system but use steganography[1] for the most important / delicate files instead.

There is a pretty simple to use software called "DeepSound", where you can hide files within audio tracks and even burn them onto CDs, that also really work in a audio CD player.

If that is not an option, Veracrypt or headerless LUKS[2] are probably your best bets. If you combine headerless LUKS with steganography, you might achieve full plausible deniability

[1]: https://en.wikipedia.org/wiki/Steganography

[2]: https://unix.stackexchange.com/questions/253493/is-plain-dm-...
Quicker for plants that reproduce very rapidly, like garden weeds. Very slow for plants that takes a long time to reproduce, like shrubs and trees.
xxhash32 does give a couple of collisions on the same file, yep.

734c8981 abloom
734c8981 sating
ef336a7d contravene
ef336a7d seducers
I agree with this as good practice in general, but I think the human vs LLM thing is not a great comparison in this case.

When I ask a friend something I assume that they are in good faith telling me what they know. Now, they could be wrong (which could be them saying "I'm not 100% sure on this") or they could not be remembering correctly, but there's some good faith there.

An LLM, on the other hand, just makes up facts and doesn't know if they're incorrect or not or even what percentage sure it is. And to top things off, it will speak with absolute certainty the whole time.
1. I agree.

2. This would be Gemini. Most people here don't like it either. Also, most gopher sites I visit use UTF-8, and my client (which I wrote---it's not hard) hasn't had an issue with mojibake.

3. It's not as simple as wrapping TLS around the TCP connection. [1]

4. There were once gopher police?

[1] I talk about it here: https://boston.conman.org/2019/03/31.1
Location: Toronto, Canada

Remote: Yes

Willing to relocate: Yes

Technologies:

- Languages: Python, C/C++, SQL

- Frameworks/Libraries: YOLOV5, OpenCV, PyTorch, Numpy, SciPy, Pandas, TensorRT, TensorFlow, Flask

- Developer Tools/Other: CVAT, AWS, ROS2, Docker

Résumé/CV: https://drive.google.com/file/d/1dwmWJff6woAxyBjgacLE0HASmsz...

Email: graceguo.010@gmail.com

I'm a third-year Computer Science student at the University of Waterloo seeking a Fall (September - December) internship. My internship experiences have mainly involved computer vision and machine learning. At my previous internships, I worked on 3D pose estimation for a perception pipeline, resulting in < 2mm of total error from end-to-end. Additionally, I developed a project for tracking packaging anomalies on manual lines, securing an annual contract worth over $400K.

While I have primarily worked as a machine learning intern, I'm also excited to expand my experience in different sectors and work with various other technologies. I’m currently taking Machine Learning/Artificial Intelligence and Networks, and I’ve taken Data Structures and Algorithms, Operating Systems, Numerical Computation, and Statistics and Probability.
> It's very fortunate that rockets are not the only way to get stuff into space

I don't see any of the alternatives ever being competitive.
Then your overarching thesis is not very clear. Is it simply ‘don’t invest in hardware capital, software always makes it worthless’?
Hot Take: Doing Kubernetes CD at Scale isn't "easy", key challenges we see [pdf]
Do you patiently wait for alexa every time it hits you with a 'by the way....'?

Computers need to get out of your way. I don't give deference to popups just because they are being read out loud.
Nice project! Are you aware of the following investigations: https://blog.mathieuacher.com/GPTsChessEloRatingLegalMoves/

Some have been able to achieve greater elo with a different prompt based on the pgn format.

gpt-3.5-turbo-instruct was able to reach an elo of ~1750.
did we find cure for cancer?
First sodium-ion grid battery opens with cells that can be charged in 12 minutes
> In reality, I think we're quite a few generations away from being able to ...

I feel like every time I see one of these claims about AI now, whatever's being predicted becomes reality a few weeks later.
I just don't know if everything we've ever (in the digital age) produced and how it is being weighted by current cultural values will help us or hurt us more. I don't fully know how LLMs work with the weighting, I just imagine that there are controls and priorities put on certain values more than others and I just wonder how future generations will look back at our current priorities.
I'd be quite surprised if OpenAI took such a niche and small dataset into consideration. Then again...
Nice that it detects valid moves,
But it doesn't know about checkmate?

https://chess.maxmcd.com/r1b1kRnr/p1ppB2p/n2P2p1/8/7P/1p6/PP...

Should say checkmate?
So can it handle when both camera and multiple objects in scene are moving in different trajectories?
GPT-4o's Memory Breakthrough
I think, that might come with the next GPT version.

OpenAI seems to build in cycles. First they focus on capabilities, then they work on driving the price down (occasionally at some quality degradation)
Aluminum cans are plastic lined
Ok but what happens if they cross the streams??
Why US offshore wind energy is struggling: the good, the bad and the opportunity
“For the lifetime of your subscription“ still lets them cancel the subscription unilaterally without breaking the promise. So if they want to hike the price of existing subscriptions, they can still legally say “agree to the price increase or your subscription will end on X date, after which you can choose to re-subscribe at the new price if you like.” It just prevents them from automatically and unilaterally increasing these subscriptions’ prices.

It also might not prevent them from amending the fair use terms of the subscription to require paying overage charges for unfair or abusive usage patterns, without unilaterally changing the monthly price.
We have a slack channel, #aws-budget-alerts, where AWS sends a notification any time our forecasted spend reaches certain milestones or the actual spend reaches certain milestones.

It's a really easy to set up app!
I am just imagining GPT-4o saying this in her sarcastic voice!
Fun fact: you can use this to play chess960 (i.e. fischer random chess), or any other "custom start position" variant, just by appending a FEN to the URL (replace spaces with underscores).

Example: https://chess.maxmcd.com/bbnqrknr/pppppppp/8/8/8/8/PPPPPPPP/...
People are saying that GPT-4o still uses Dall-e for image generation. I think that it doesn't match the quality of dedicated image models yet. Which is understandable. I bet it can't generate music as well as Suno or Udio either. But the direction is clear and I'm sure someday it will generate great images, music, and video. You'll be able to do a video call with it where it generates its own avatar in real time. And they'll add more outputs for keyboard/mouse/touchscreen control, and eventually robot control. GPT-7o is going to be absolutely wild.
Thanks, thats informative.
NetHack still has a venerable community. There's also insane TASing going on there: https://tasvideos.org/5085S
Epstein introduced Gates to a woman he allegedly had an affair with.
In a last-ditch attempt to save the glacier, the Venezuelan government has installed a thermal blanket to prevent further melting, but experts say it is an exercise in futility.

I hate to nit-pick from the sidelines, but did anyone genuinely think this would work effectively? Or did someone sell them a ADE 651 bomb detector[0] in blanket form?

[0] https://en.wikipedia.org/wiki/ADE_651
Most people don't, since you either speak with native speakers or you speak in English mostly, since in international teams you speak in English and not one of the native languages even if nobody speaks English natively. So it is rare to hear broken non-English.

And note that understanding broken language is a skill you have to train. If you aren't used to it then it is impossible to understand what they say. You might not have been in that situation if you are an English speaker since you are so used to broken English, but it happens a lot for others.
It reminds me of the geocentric mindset.
Sorry, what do you base that on? To me it just seems like a straightforward inspiration from the "data lake" -> "lakehouse" terminology that Databricks started (?) using.

https://www.databricks.com/product/data-lakehouse

edit: ah, but in a different comment someone noted that it's not actually a lakehouse, so who knows!? :)
Lichess opening explorer would probably be a fairly accurate indicator of how the cache hit ratios would develop:

https://lichess.org/analysis#explorer

I imagine it would look closer to the Lichess database, which differs quite drastically from the Masters database. For instance, with the masters e4 is met with c5 in 46% of games, but on lichess c5 only happens in 19% of games.
Their own video showing this interface is awkward as hell: https://www.youtube.com/watch?v=MirzFk_DSiI

Speech is not an optimal interface (in most cases). The AI just rambles along and there's so much time wasted waiting for it to get to the point.
Plastic is how extremely poor people get things. If you want basic necessities for living plastic is a great option.

If you are extremely poor, what do you eat from? What do you store things in? What do you wear? The answer is obviously plastic.
NPR could have spent every single taxpayer dollar they received for the year on this one project and it would still be a rounding error on the national budget.
> counterclaiming Doesn’t have any s and stemming doesn’t have any possessive.

But "oncogene's" (collides with counterclaiming) and "Carib's" (collides with stemming) do.

Also I did point out that the 64 and 128 bit variants have no collisions.
I see you have Connect 4 test there.

I tried playing against the model, it didn't do well in terms of blocking my win.

However it feels like it might be possible to make it try to think ahead in terms of making sure that all the threats are blocked by prompting well.

Maybe that could lead to somewhere, where it will explain its reasoning first?

This prompt worked for me to get it to block after I put 3 in the 4th column. It otherwise didn't

Let's play connect 4. Before your move, explain your strategy concisely. Explain what you must do to make sure that I don't win in the next step, as well as explain what your best strategy would be. Then finally output the column you wish to drop. There are 7 columns.

Always respond with JSON of the following format:

type Response ={

am_i_forced_to_block: boolean;

other_considerations: string[];

explanation_for_the_move: string;

column_number: number;

}

I start with 4.

Edit:

So it went

Me: 4

It: 3

Me: 4

It: 3

Me: 4

It: 4 - Successful block

Me: 5

It: 3

Me: 6 - Intentionally, to see if it will win by putting another 3.

It: 2 -- So here it failed, I will try to tweak the prompt to add more instructions.

me: 4
Please firm up your claims. You're getting dangerously close to saying "no amount of evidence can dispel me of my preconceived conclusion" which is pseudoscience. Science is about uncovering evidence then creating theories to fit this evidence. When new evidence arises, old theories are discarded and new theories are created which explain new evidence. It's not about saying "you can't convince me of your conclusion so I'll ignore your evidence."
If an actual human being, highly educated and super smart, offered to work as your personal assistant for free, would you reject him/her just because you don't want "everyone overhearing" your conversation with him/her? I don't think so.
> and Kagi is well positioned to serve this need.

>CEO & founder of Kagi

Important context for anyone like me who was wondering where the boldness of the first statement was coming from.

Edit: looks like the parent has been edited to remove the claim I was responding to.
https://www.robotshop.com/products/respeaker-usb-microphone-...
Less than 1% of NPR funding comes from taxes.
I've heard that 80% of plastic pollutions in the oceans are from African big rivers being used as dumpsters and then flushing their yield to the sea.

Why TF are we supposed to limit plastic use in developed countries, often located deep inland, where our plastic has many orders of magnitude smaller chance of polluting the oceans, etc?
Cell phones emit non-ionizing radiation so this shouldn't be possible from a first-principles physics standpoint.
You know what would be even better? That they agree on a common standard for interoperability between both systems. They both work in the similar way and do the same thing, this would be great to have a standard.
This is great to play asynchronously with people quickly and simply :) Great job!
As it happens, ChatGPT has memory enabled by default these days.
You can only be trolling if you say brains aren’t made of neural networks. Poe’s law in effect
In most places I've lived, including Seattle, butchers typically buy the whole animal. They move smaller quantities but every possible cut of meat is available, you just have to ask. They may run out of a cut, since availability scales with the number animals they butcher and demand is uneven over the entire animal, or you might want something unusual outside the scope of their default breakdown of the animal, but you can always ask them to reserve that part from the next animal and they've always been happy to oblige in my experience.
Well, that's just stupid. What else can be said...
NASA Stuck in the Middle of Starliner Contractors' Valve Fight
> I'm not aware of any major use of plastic where going backwards in time is on-net more environmentally friendly.

My guess would be fishing nets. These are the main source of plastic pollution in the ocean.