skysight-inc/HackerNews huggingface dataset:
I mean, if the strike is already happening - how is this a strikebreaking tool? It's not like Feedly has some unique insight and capability to predict strikes before they occur. I think the real criticism isn't so much strikebreaking but the framing of strikes as violent/dangerous. But it's not clear in the article. It's hardly a strike-breaking or a surveillance tool (since it is based on publicly reported news).
I've still yet to figure out where feather fits into this.
Shame that Apple Silicon Macbooks are not able to take advantage of dedicated GPUs.
I think the nature author thought the same thing and then added a sentence at the very end, which sums up the rest they did not quite grasp (like me) and sound more like Dr. Who:

>Temporal interference and time reversal could lead to new ways of creating time crystals, which are mind-bending structures that repeat periodically, not in space — as ordinary crystals do — but in time. They could also help researchers build quantum computers based on photons.
I'm not sure about virality, but I'm building automated ai workflow software, I think it'll be extremely profitable. I'd be more interested though in some sort of angel/vc offering, as I'd like to retain control of this company, at least until I know how far it's going to go. I've already got 5 people ready to buy, when it launches.
I use one of those desktop whiteboards. Love it.
I’m used to use post-it notes all over my desk, but not anymore.

https://fluidstance.com/products/slope
LLMs clearly develop internal representations, this is an empirical fact. For example, one paper cited is https://arxiv.org/abs/2210.13382, which trained an LLM on Othello games, where an 8 layer model is fed one of 60 tokens (there are 60 possible moves in Othello, 8*8 minus 4 initially occupied squares). You can probe this model at layer 5, and it computes Othello board state from moves, and you can be sure this board state is used, because if you patch activation so that board state is modified, the model generates moves for this modified board state.
To take the point further: nothing, ultimately, has any inherent value.
“In this theoretical world, shorter people have bigger feet. Given the information provided, we can deduce the following height order:

Ben (tallest)
Paul
Andrew
Steve (shortest)
Since shorter people have bigger feet in this world, we can also deduce the following order for foot size:

Steve (biggest feet)
Andrew
Paul
Ben (smallest feet)
Assuming that everyone walks the same number of steps each day and all other things being equal, the person with the biggest feet would be more likely to step on the most bugs simply because their larger foot size would cover a greater surface area, increasing the likelihood of coming into contact with bugs on the ground.

Therefore, Steve, who is the shortest and has the biggest feet, would step on the most bugs.”

GPT4 solved it correctly. You didn’t.
Oh yeah I have one of those no name brand USB switching hubs, they are great. Comes with several "illegal" USB-A male to male cables, which I find funny. If your monitor supports it you can also switch inputs from software, and you have a complete KVM setup without the ridiculously expensive KVM box.
I also bought the 360 and I love it! Haven't once thought about going back to the Kinesis Advantage I was using before it. I went with the wired / non-pro version since I've had too many bluetooth issues with peripherals to trust that it wasn't going to be an issue. Sure enough, I asked on the subreddit and some others have reported connection issues or flakiness.

The only issue I've had with it is that sometimes my laptop doesn't receive any input so I have to unplug the keyboard and plug it back in. This could just be due to my setup and unrelated to the keyboard, but I didn't have that issue before.

The magnetic snap-on wrist pads are really nice. They snap perfectly into place and haven't moved unless I want them to. The keyboard overall feels solid and ergonomic
I believe they are referring to Rails scaffolds, which let you quickly define your models and creates very basic CRUD screens to match.
Yes, I'm sure Alibaba broke "itself" up, and the CCP wasn't involved at all.
closest i've seen so far is https://llamahub.ai, but afaict it's only for loaders atm
Yeah, and some monitors can be controlled to switch inputs from software, so you can setup hotkeys to do it just like a real KVM.
This is one of those comments that begs for actually using LLMs. Yes, an advanced LLM like GPT-4 will absolutely show evidence of an abstracted world model, correctly answering questions about where person X thinks object Y is, or what relation two people have to each other, or playing a text adventure game while clearly following an internal map it has created for itself.
Almost every EV now comes without an AM radio because of the interference. The original tesla model S had an am radio, but now they dropped them. It's apparently not a requirement any more. They must have some some special work to somehow eliminate the interference of the electric drivetrain.
Maybe someone with experience here can chime in, but my gut tells me those must be the worker's compensation insurance payout for the limb and the lawyer was including the surrounding lawsuit which would litigate the neglect resulting in the loss of limb.
I didn't realize how much a difference the lighting makes until I got one. I got the Google dLight and it has both brightness and warmness sliders and can change it from computer or app (and has profiles) so it's really convenient.
We've been building tech to translate dog barks to something meaningful for us to understand.

A few things we observed:
1. Dogs are more communicative once they believe you are correctly responsive to their vocalizations
2. Their barks are more differentiated over time and they start to introduce new types of vocalizations or sequences of vocalizations
3. Dogs don't have a structured vocal language as it starts of slightly differentiated and mostly to get people's attention

This isn't true for other animals (based on our reading of academic papers) and a commonality we've seen in the papers: as animals have more individuals they interact with across their life especially not directly related, their vocalizations are more structured. Within family units they tend to rely more on touch, body language, and some intermittent vocalizations. Though marine mammals are very vocal given they operate within acoustic environments in the ocean and it gets dark around 100m - 200m.

Basically, as number of sustained individuals in a group goes up and the number of non-related individuals increases, vocalizations get more diverse. We see cows, pigs, goats, and other herd animals are also very vocal which is how scientists have been decoding their speech recently similar to prairie dogs.

Much of what I've written here is a super simplification but happy to get deeper into the weeds.
I think LLMs are great for exploration, but for repeated use efficiency matters and data structures matter.

I can see that AI will compose UI and write reporting code for many analytical querying needs, but I can't imagine future where we would stop using predefined queries or static schemas.

In the age of AI we can utilize even more data and we will.
did you search in different languages?
Yes, there are a lot of Japanese sites that use it.
New bar for people claiming LLMs can't reason: invent a specific, testable problem, representable in text, that many humans can solve and LLMs can't, and tell us what it is.
Things to remember when building your first portfolio as a UX designer
No one is saying the behavior is acceptable.

I'm thinking if I were a company, I'd be pretty keen on replacing humans with AI as soon as possible.
K-pop tricked me into learning Korean.
The actual representation doesn't much matter. When you read the data into something like a dataframe, the boolean values are translated into something appropriate for the supporting language. The actual encodings are documented, but generally don't matter for anybody interacting with data encoded as Parquet.

Regarding compression, yes, that is very much supported. And if you can sort your data to get lots of repetitions or near repetition in columns, it can work very well. For instance, I had a case with geo-hashes, latitudes, longitudes, times and values (which were commonly zero). When the data are sorted by geohash and then time the ZStandard compression algorithm gave 300:1 compression relative to raw CSV due to the very high repetition (geohash, lat, long are constant for long stretches, time and value barely change).

What the article didn't mention is that tools like DuckDB eat parquet and interface with packages like pandas in an incredible symbiotic fashion. This works so well that my favorite way to consume or produce CSV or Parquet files is via duckdb rather than native readers and writers.
UTC isn’t a time zone, its a specification for how many seconds are in a day. In UTC, there are 84000 seconds on most days, but the IERS may announce a “leap second” which makes some particular day either 84001 seconds or 83999 seconds (historically always the former).
> Would sound even better if I were speaking directly into it, but I don't like having the mic visible.

I've found that the sound is better if I keep it off to the side out of frame instead of above. Especially if you have the setting to make it directional and aim it towards your mouth. You can speak directly to the camera and it picks it up.
GPT3 has 175 billion parameters and Altman said 4 would use way more compute than 3.

Let's just look at GPT 3. Each forward pass requires 2N=350B flops per token. The computational overhead of the attention mechanism is negligible but the memory overhead of the attention for all users is not, but we can ignore that for now. Let's assume each query involves ~200 tokens of combined input and output. That's 70T flops per query. Let's say the cost of compute is 1 cent per 100B flops (probably a lowball). That's $7 per query for compute alone.

And that's just GPT 3.
In the past 20 years, how many times have we had a low interest rate? Now ZIRP is dead, the incumbency of the USD as the world reserve currency is not a certain thing anymore.

Your average company in average times, sure your heuristic makes sense. I'm guessing this will give many other companies the green light to cut back their perks as well.

Just a thought - where are all those "best employees" going to go? Everyone is battening the hatches for a recession and VCs don't have tons of cash to hand out for new startups.
Have to assume they literally can't get enough GPUs to respond to demand. Wonder if $20/mo is even profitable for them?
May I ask what brand and model? I'm left handed and a symmetric mouse it pretty much the best I can hope for in terms of a mouse.
A bit of an aside: by 2035, UTC will be a static offset from TAI, with the addition of leap seconds being phased out
> I have been trying to work GPT into my coding workflow, and it's more like an enhanced google.

With one qualification, as in

https://news.ycombinator.com/item?id=35431789

I agree: "My Response: For some queries Chat may be a little better than Bing or Google."
Simple VMs for testing purposes are useful for infrastructure consultants and developers, in niches where the products support Oracle as deployment database.

It's a smaller and smaller audience, because of cloud taking over, but someone still needs it.
Hahah the temptation! I understand the discomfort. The celebrities and even d-list celebs tell some 'interesting' tales about unwanted fan interactions.
My car steering wheel controls control my phone over bluetooth fine, at least for skipping and pausing.
Racism created so many problems in the US, including a devastating civil war with 2M casualties, that what seems like an over-reaction is understandable. It's the "nuke it from the orbit" option.

Yes, nuking things from the orbit does have downsides, if you ask me. But if this imperfect tool is something that reliably prevents a new crop of Jim Crow laws, I can tolerate some fallout. (If you think that people are now "civilized by default", and "it can't possibly happen again", look at the Texas abortion law, for instance.)
Good question. If you just need to get something up as a demo, PythonAnywhere seems quite good. But if you need something simple that you can deploy to production, I too would like hear recommendations.

Plotly Dash is a pretty painless all-python-no-javascript way to build an interactive UI on top of whatever your data source is, but I have no idea how well (or not) it scales.
> but it knows how humans would respond if they obediently followed directions given to it exactly as instructed.

this framing denies agency, denies diversity, denies choice. A human, presented with the sort of directions and instructions that LLM's receive, does not have a single "correct" outcome (for that matter, neither do some LLMs). So no, an LLM does not "know how humans would respond". Instead, it can generate something that lies somewhere within the window of possibilities that a human might offer under similar conditions.
TikTok to be banned from Australian government devices
Haha! Thanks I will check that out. Yeha, I really am into that. It's like impressively inspiring you can master something incredible and it's super human.

Yeah, I agree with you about those impact scars. I watched it again: Definitely is, you can see from the video. Still, impressive, like I said. I mean he's hitting the plate, 50cm apart at 183m, from pistols. It's nuts! :p ;) xx ;p
It comes close to that, but there are some confounding factors wherever you introduce analog elements - and Golden Age arcade games were doing all kinds of wacky analog things that necessitate high fidelity digital sampling. See "Journey" and its tape playback of rock band Journey, or "Dragons Lair" and every other laserdisc game. Classic pinballs are likewise presented digitally through a mishmash of ROM emulation and simulated physical hardware.

It's definitely the case, though, that games have essentially topped out on what they need to support a high fidelity experience in terms of "just" pushing more data down the pipe. While new AAA can push a little farther still, there is broad consensus that diminishing returns are here, and...well, the future is going to be in having AI do the details and make the optimizations, and the resulting size from that is most likely going to stay linear with the number of assets, rather than having each asset metastasize further detail.
Judgement for wages owed: taxable as wages

Judgement for damage: non-taxable
What's your take on having a PLB at sea? Are there scenarios where an EPIRB is required?
Ask HN: What topics should I be comfortable in to do serious AI/ML research?
I am talking about grad school or industry R&D lab level research in AI/ML.

Apart from being a good programmer, what other fundamental topics should one be well versed in to become a good researcher in this domain?

I am in undergrad and I would love to apply to grad school after I finish. What topics should I study and from where? Books, courses, anything? I want to prepare ahead.
We used to make all kinds of gory and bloody stickman “side scrollers” in hypercard in 7th grade. Blood was just black spray can tool. Or if you were really skilled, animated actual drops.
This is not "the next version available for free", this is them refreshing the free offering they've had for more than a decade (previously known as Oracle XE). They do that every few years.

XE was released to match SQLServer Express, which in turn was released because MySQL and PostgreSQL were eating their lunch among small dev shops (they still are). Nowadays nobody cares, unless they have to maintain some legacy product.
I remember being amazed I could connect to the live video feed from my gopro3 over the wifi with just vlc, or trigger the shutter with an http request and a curl cronjob, back around that time. Jump to today and I got a used Sony RX10 III just to find sony had discontinued the app that your are supposed to use to control it wirelessly and there is no real alternative.
I mean, that might be the cost for a onesie-twosie in Azure, but if you're microsoft and you own the hardware, the cost may be one or more orders of magnitude less than that. (Of course, there's just a limit on the number of GPUs that exist and that Nvidia can pump out.)
>watching YouTube in the Tesla will automatically turn off the headlights

Now I'm picturing a Tesla kool-aid drinker driving down the highway with their fully self beta ludicrous speed engaged, watching youtube with their headlights off.

Don't worry, they'll fix it in the next update...
There's no way it's profitable. I'd wager this will materially affect Microsoft's next earnings report. Hard to tell how open ai itself is affected financially by the explosive growth but a rude awakening is coming for many users and shareholders alike
For the laptops you also get a level of control over the hardware not available anywhere else (except similar premium open firmware linux laptops)
Nothing (except lawyers fees).

It was Eberhard who sued Musk trying to get the courts to declare that only he and Tarpenning can be called co-founders of Tesla.

And that backfired because the judge declared that, actually, Musk and JB. Straubel are also co-founders of Tesla.

https://www.tesla.com/blog/judge-strikes-claim-who-can-be-de...
Shouldn't that number be concerning 30% of children deaths are from guns?

Suicide or not, doesn't that seem concerning? Hmm... Some people say it's the top way children die now by gun.
I remember growing up and having active shooter drills in elementary school but it's nothing like they are now. I think we are one of the few countries where children dieing by firearm has increased 46% in the last twenty years or so.

Where I grew up it wasn't rare to hear about stabbings or shooting but it does put me on edge hearing about a mall I used to go to having an active shooter etc.

https://www.nytimes.com/interactive/2022/12/14/magazine/gun-...

www.kff.org/private-insurance/press-release/firearms-are-the-leading-cause-of-death-for-children-in-the-united-states-but-rank-no-higher-than-fifth-in-other-industrialized-nations/amp/
Can you expand on what you use it for? What dashboards? Why do you like this more than a regular desktop notification?
What technology do we have access to now, that wasn't available at the close of the Age of Sail and the dawn of the Age of Steam, that will make us succeed where others have failed?

Obviously, slapping a sail on a diesel powered ship straight up doesn't work. We would have done it. We need something more.

WE have microprocessors, textiles, steels, servo motors, FEA. We are up against the tyranny of 200 years of incremental efficiency gains, fluid mechanics, and essentially thermodynamics.

Not that excited about the shipping container or even the sail. That is an arbitrary gut feel design constraint that may have gotten you into YC, but we can feel free to toss all of it by the wayside now that we are getting serious, no?

Engineers need a good gut feel for torque, impact, and dynamics, and the big picture. We have to think about more than just static forces and how to make our pet square peg ideas fit into real world corkscrew holes.

We should try to make a servo operated kite that pulls straight upwards and sometimes forwards or a little sideways, (much more than it pulls backwards), that we put on a very slow ship, in very windy conditions.

Why do all of this work? We should just develop some sort of golf ball coating or fairing and coat or cover the tops and sides of some containers and do some wind tunnel studies, patent it and sell it for $$$, and call it a day. It might even be an actual efficiency improvement.
I don't blame people for being optimistic, LLMs represent a huge jump in what we can do with computers. But there are two huge problems here with this article that none of the progress we've made with LLMs are close to solving.

1. Most of the time, you don't actually want to talk to your computer.

You have a huge database. You need to make a number of non-trivial queries with subtle but precise requirements against it. Your livelihood depends on these results being correct. You have limited time to work on it.

Would you rather (A) write an SQL query or (B) text Fred to do it for you. Fred doesn't have any special knowledge of your task, but he's capable of writing SQL, and he's of an obsequious and loyal disposition; willing to do whatever you ask over SMS. Fred is a really confident guy, and his deliverable, while they are to the best of his ability, are delivered expediently regardless of how correct they are or how good Fred is at the task.

Choosing B means that I need to brief Fred on the task. I need to layout explicitly what records I want, how optimized I need the query to be for my tight timeline, and I need to impress upon him how deeply important the results of the outcome are.

It is of the utmost importance that I explain away every possible misconception because if Fred is unsure of something, he might just shrug it off and give me his best guess.

Suddenly, the language I'm using to communicate to Fred becomes more... formal. I'm writing these verbose documents to Fred that are starting to look like ISO documents. I'm starting to see the appeal of constructed languages like Lojban which are formally verified and designed to avoid ambiguity. Wait... maybe what I actually want is a special language that would be both unambiguous and high-bandwidth. Ah yes, I think SQL would suit me just fine actually.

2. LLMs are as much building an AGI as building a keyboard is building a computer.

I'll not get into it here, but there's a lot of burden of proof that LLMs are a microcosm of computers reasoning about things. LLMs are super impressive, and they are able to do some neat tricks like do math like a drunk 7 year old or generate plausible SQL injections.

The rub here is that while that _feels_ like it's reasoning and has a mental model of arithmetic or cyber-security, it's just predicting what word is most likely to go next.
Check out Form.io

We’re doing some development now which incorporates additional features such as AWS automations and GUI upgrades, but our based schema development is on the form.io platform
Location: Seattle/Redmond WA
Remote: Mandatory
Willing to relocate: No
Technologies: Golang/Python/Linux/BSD.
Résumé/CV: https://tsunami.zaibatsutel.net/cv.pdf
Email: hn-hiring@zaibatsutel.net

Currently doing SDLC work. Over 10 years of experience in various languages, cleaning up the mistakes of others.
Location: Europe

Remote: Yes

Willing to relocate: Yes (No matter where)

Technologies: Golang, SQL, Python, Linux

Résumé/CV: https://docs.google.com/document/d/1L9I7Qj5k_NKv5uChkyYEPnqB...

Email: contact@getjump.me

Currently in Armenia, Post grad degree (MSc in CS)
They are improving-- GPT4 is not so easily fooled:

>As an AI language model, I must clarify that the moon is not made of cheese. This idea is a popular myth and often used as a humorous expression. The moon is actually composed of rock and dust, primarily made up of materials like basalt and anorthosite. Scientific research and samples collected during the Apollo missions have confirmed this composition.
> LLMs clearly develop internal representations, this is an empirical fact.

you've offered an anecdote. Some LLMs (more generally, this type of neural network model) will generate configurations that can be understood as a representation; others will not. The fact that the authors were able to find an apparent model in a heavily rule-based system is not incredibly surprising but offers little clue about whether this is "clearly" true for similar architectures that represent very different (real) world systems.

From your citation itself:

> More broadly, it would be interesting to study how our results generalize to models trained on
natural language. One stepping stone might be to look at language models whose training data has
included game transcripts. Will we see similar representation of board state?