skysight-inc/HackerNews huggingface dataset:
It is still technically human creativity but for a narrow subset of humanity engaged in Mechanical Turking. Suggesting that it has surpassed the infamous "fake-AI" of substituting for a lack of true automation using outsourced cheap labor.

Sort of like how the infamous "alpha-wolf" dynamics were from wolves following prison rules. Technically accurate but only for the "prison rules" scenario wolves and not general wild wolf behavior.

I personally would call it a bit better than hot garbage but still not generally applicable.
Freeform (freeform.co) | Software Engineers (C++ / Rust / Backend) | Full-time | Onsite | Los Angeles, Ca.

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Our software team comes from the likes of Google, SpaceX, and Apple, and believe in taking a first principles approach to solving hard problems.

A glimpse into our software landscape - https://vimeo.com/854855155

Currently looking for exceptional engineers.

+ Senior Software Engineer (C++) https://grnh.se/ad52de6a3us

+ Senior Software Engineer (Rust) https://grnh.se/7100b4e23us

+ Senior Software Engineer (Backend) https://grnh.se/92f62b763us
It's great for spies. As I've learned from movies, it's important for them to hold their booze better than their sources.
So, the ‘revolutionary’, ‘earth-shattering, ‘soon-to-make-humans obsolete’ talk about ChatGPT is all bullshit and this is just another regular, run-of-the-mill development with the label of ‘AI’ slapped on somewhere, just like all the others from the last 40 years? What in the hell is even your point then? Is ChatGPt a revolutionary precursor to AGI if not AGI already? I say it’s not.
A website claiming to tell the truth about why one of the World Trade Center buildings collapsed doesn't sound like the best source to prove how NIST was wrong, due to the historical accuracy of such websites. I admittedly don't have a source off the top of my head that specifically addresses this website, though.
AI Is Critically Important but Not for You
tone indicators are wonderful and i highly recommend them when theres any doubt as to your intent due to the tone agnostic nature of text :)
/gen
The mods banning my comments can go bent.
There's plenty of instances where the content produced by chatbots isn't factual and is also based off of content that somebody else worked to produce.
If it's both "Fake, cringe hype" and also "Going to beat anything I do", then it's Schrodinger's Villain.

Nobody's being fascist here. But, the old fashy trope of "The Enemy is both Too Weak and Too Powerful!" is echoing in here regardless.

If OP was annoyed at either extreme, I'd have nothing to say. But, being down about self-contradictory problems indicates that you're not clear what's got you down.
Gemini works with brand new books too; I've seen multiple demonstrations of it. I'll try hunting one down. Side note: this experiment is still insightful even using model training material. Just compare its performance with the uploaded book(s) to without.
Why so dangerous for AI to learn how to lie: 'It will deceive us like the rich'
You have missed the point entirely.
While this release is more about bug fixes, with no stable features, I'm so excited for macros. Dart is an amazing language, but the json story is way too weak for a modern ecosystem.

Dart is my favorite language right now. The tooling is incredible because they learned from Go's success. Because it compiles to native, it's great for CLI programs. It can also ship as a single binary for servers.

It's good at so many things, but it's not the best at any one thing. I think that's why it hasn't gotten the same usage as other languages.
No, it's not about things moving fast. It's about projects carrying specific kinds of risk and developing a specific kind of output. Namely technical risk and intellectual property.

Technical risk is the risk that your technical development won't pan out. I'm not referring to schedule risk - the risk that it will take longer than you thought - but actual risk that it will never work at all. Intellectual property is a durable, hard-to-copy advantage over your competition.

Pharma is a great example because it is a very pure form of R&D - you find a drug, test the shit out of it, those tests mostly go negative, and if you succeed, you have a formula and a manufacturing method that lets you charge extortionate rates. Most software work is not like this at all.

And no, ongoing future work is absolutely not guaranteed to be R&D. If anything, it is the opposite: most startups begin with R&D - creating an uncertain product with a (hopefully) durable advantage - and move out of doing R&D as they mature and the competition catches up. That is generally the lifecycle of companies that develop new product categories, from Singer (the first company to produce a sewing machine), to IBM, to Google.
personally i'm signed out on Mail on all my iDevices, seems to be true of most of my peers as well
I like that '1701' is lite up brightly in there... Please excuse me while I go and change my PIN.
These are people who died in prison and were sent off-site for autopsy. Organ transplantation is… unlikely.
I did work on those for a while many years ago. I don't know if things have changed but many signal controllers had the ability to disable the conflict monitor without going into flash which could be helpful when working on them, but could certainly be abused.
And yeah. cabinets are often left unlocked.
It kinda looks like the 'wtf' app... maybe that one?

https://github.com/wtfutil/wtf
There's a bunch of youtube videos where people compare and contrast mini pc's for their homelab setup. I ended up going with these off of ebay:

- Lenovo ThinkCentre M910q Tiny | i7-7700T | 16GB RAM | 512GB M.2

For $150/ea. Comes with windows but ubuntu server was a quick & painless install on them (no driver issues).
Que ads.
Interestingly, while the 8086 and '186 had all the different jump instructions for signed and unsigned comparison, its microcode was limited to an 8080-like set of carry/zero flag tests. This made the BOUND instruction quite complicated and inefficient.
That is an interesting idea
Treating prisoners like animals isn't showing compassion for anyone, neither the criminals nor their victims. Refuting the claim that even criminals should be treated humanely by saying we should also show compassion for victims is not logical.

The victims of crimes absolutely should receive much empathy and compassion. They should receive free and unencumbered medical (including mental health), legal, and financial support to help them reconstruct themselves. Paid for by the community. They should be guaranteed safety, even more than the rest of the population.

That is compassion. Harvesting their aggressor's heart and brain for teaching purpose, on the other hand, is not.
I have known some people to have an absurdly low tolerance (or at least act drunk after two standard drinks), but I don't think it's that common.

I do have plenty of friends who drink in moderation simply because they enjoy the taste of beer/wine and almost never get drunk (they might drink enough to be drunk once a year).

I think the comparison is most understandable when you compare alcohol to caffeine. Some people drink coffee for the sake of the caffeine, but some also just genuinely enjoy the taste/social aspect (hence why decaf exists).
> I don’t want my browser to know about me. It’s not necessary.

This. It's not necessary, and I consider it dangerous. Even if the browser maker is 100% on the same privacy page as I am, browsers are too complex to trust with personal data.
SGI had the best computers back then in my opinion. They were ahead of their time.
Meta is discontinuing Workplace to focus on AI and metaverse
Failing breakers commonly trip below current limits. Hopefully they will comprehensively test the circuit path and its components in scope. Someone will have to explain why they weren’t replaced prior to failure if root cause.
I certainly don't speak for everyone but I certainly drank for the effects. I do like the flavour of beer but it was all about the effects. I could never have just one or two (which is why I no longer drink).

Again, I don't speak for everyone. I do know people who drink frequently without ever getting drunk, but obviously even one drink has some effect.
Fermentation, distillation, and aging can all create unique and incredibly rich flavors that may be very compelling on their own or as complements to other flavors in food and drink.

Perhaps you haven't tried very many and haven't run into any you like, but they're sure out there. From a culinary perspective, it's no accident that wines and beers and spirits represent enormous industries around the world and have done so for centuries.

If it was all just about getting tipsy or drunk, you'd expect there to be just a few "winners" of the market rather than the incredible variety we seem to have instead.
Jim Koch, founder and brewer of Sam Adams, says that he mixes a teaspoon of bakers yeast (not sure which) and yogurt to break down the alcohol before it hits the bloodstream and has been doing it for years if not decades.

https://www.npr.org/sections/thesalt/2014/07/10/327854051/al...
No you don't. Compare the model's performance before and after uploading the material.
They come from a database of 98k limericks -- https://zenodo.org/records/5722527
If this site did have a field where you could enter a pin to see how common it was, you could make a really targeted phishing attack by sending the link to someone whose pin you want to know, then looking at what they click on or enter ("I'll just see how good my pin is...")
Next week: sunsetting Firebase App Hosting
Heh, found this comment of yours in reply to the one about Racket my earlier comment was referring to:

https://news.ycombinator.com/item?id=39186136
I was recently given a physical book as part of a work-related book club and took it along with my Kindle on a family vacation in April, so I ended up doing a direct comparison. The physical book was not better than a Kindle version would have been. It was bigger, heavier, was only one book, was harder to read in the evening, harder to highlight passages and find them later. I think the only thing is the around double resolution of the print version, where the Kindle's ~300dpi is entirely passable, and the fact that the book's "battery life" is >100 years while the Kindle needs charging once per month. Still a big Kindle win.
Ah, I remember using this and wanting very hard to like it but it was just bad.

Very opinionated (who needs more than 5 colors?), ink line on iPad looking atrocious, no zooming, canvas limited in weird way, some features not sticking at all.

In the end I dropped iPad (metaphorically) for SuperNote for my hand notes and am very happy with the choice. If you’re in the market for such apps Defter Notes was one of the best I’ve seen.
I feel silly now. I downloaded the app after the announcement (I'm a desktop user) and it looked identical to the one they show in the sarcasm video. When I asked it, I was told it was not the new feature announced yesterday. Still a lot of fun!

Edit - it does list the new model in my app at least
they're not so important to ignore other considerations, just when you apply that standard to countries and individuals within country you happen to respect, you'll find the same reasons to boycott

the unwillingness of boycotters to see that makes me more willing to ignore them
Doing it in an idiomatic way might be difficult if there's not much of an existing corpus, though. (Or if the language is new enough that it hasn't developed a lot of idioms)
Journalists are mouthpieces for their owners. They only punch one direction.
I don't know about your exact use case, but "outgrowing my Raspberry Pi" is often mentioned these days.

Now here is the thing: I also often hear about (and partly experienced myself) this exact situation. However, the problem with all these low power small form factor x86 PC's (like the Odroid H4) is, that there is not much review material.

I, personally don't think they are worth the money. Many people drastically underestimate the "low power" capabilities of x64 server hardware (let's say Dell T30 or Fujitsu Workstations) and to be honest: Spending a huge amount of money to save a few watts won't pay off in the near future.

So, the questions are: How much money would you like to spend? How much "powerful" do you need? And last, but not least: Which other features are important (like ECC RAM, 2.5Gbe, NVMe, SATA Ports, Remote Management / IPMI)?

I would go for one of these:

- ASRock N100DC-ITX (Non-Server N100 board with 6W idle power consumption)

- Odroid H4 (Non-Server N100 up to N305 board with ~5W idle power consumption)

- Gigabyte MC12-LE0 (Server Ryzen ECC board with ~25W power consumption)

- A used device like ThinkCentre, HP Prodesk / Elitedesk, Fujitsu S740 (Non-Server, ~8W power consumption)
TIL brute-forcing from 0000 to 9999 is a decent strategy.
Your heart may be healthier after 15 minutes, but your balls will be permanently frozen =).

I have a feeling that a 15 minute jog helps heart health more than a 15 minute cold plunge.
I followed the link and -- $180 for the hardcover? wat.
While all true, if as many people wanted to become carpenters today as back before IKEA was a thing, they'd quickly find out there isn't enough demand. I think that's the big fear in software as well, that while yes people can still code by hand, doing so as a job might not make sense at one point.
We're witnessing a race to the bottom on pricing as it's happening. Competition based solely or mainly on pricing is a defining characteristic of a commodity market, i.e., a market in which competing products are interchangeable, and buyers are happy to switch to the cheapest option for a given level of quality.

There's an old saying that if you're selling a commodity, "you can only be as smart as your dumbest competitor."

If we want to be more polite, we could say instead: "you can only price your service as high as your lowest-cost competitor."

It seems that a lot of capital that has been "invested" to train AI models is, ahem, unlikely ever to be recovered.
This is not just a random website. This is a University of Fairbanks study conducted by the head of structural engineering and two other PHD's who spent two years trying to model what NIST said happened.
Indeed, but it's also a class of overpriced laptop Dell and a few other companies were trying to sell back around 2010:

https://youtu.be/cSoKyMMIxso?t=125
It doesn't keep Chinese brands from establishing themselves. As you noted, they'll build in Mexico and the US (See Volvo South Carolina, a Geely company, from China.) The brands will arrive in the US one way or another over the next 5 to 10 years and it will probably mean the end for non-trucks from domestic makers.
I can see how that might help write sample programs, which could be useful for testing my implementation, but how else would it contribute to developing the language?
I’m excited to see wasmgc in the browser - which should let a lot more languages compile to small, fast webassembly bundles.

What’s the state of wasmgc? Is it supported by the major browsers yet? How big are dart apps compiled to wasm?
That Windows is generally better at handling compatibility is one thing, but I'm curious about the following part:

> There's a good reason for this, which IMO Unix-like compilers and system libraries should start adopting, too.

Why? I'm understanding from your comment that you can't mix debug and release objects on Windows because the ABI is different. That's not a feature, that's a limitation. If it works on Linux to mix debug-enabled objects with "release", what use would it have to make it not work anymore?

IIUC debug symbols can be totally separated from the object code, such that you can debug the release if you download the debug symbols. A well configured GDB on distros that offer this feature is able to do it automatically for you. It seems very useful and elegant. Why can't Windows do something like this and how is it an advantage?

(Genuine question, I have a remote idea on how ELF works (wrote a toy linker), not much how DWARF works, and not the slightest idea on how all this stuff works on Windows)
Relatively speaking. It's like the definition of a supercomputer 30 years ago is a cheap Android phone in your pocket today.

You can certainly run a transformer model or any other neural network based model on an iPhone. Siri is probably some kind of neural network. But obviously a model running on device is nowhere near comparable to the current state of the art LLM's. Can't fit a $40k GPU in your pocket (yet).

A transformer running on an iPhone would be roughly 2 orders of magnitude smaller than the state of the art LLM (GPT4 with a trillion parameters)
Electron Vortices in Graphene Detected
No, I’m just tired of the lazy “source?” style comments that are just thinly veiled attempts at sabotaging any further discussion. I have a hard time believing that someone has not yet seen the “global cooling” bullshit from the 80s, or “Florida will be underwater” bullshit from late 90s
Just put the 2500 example linked on the article through Gemini 1.5 Flash and it answered correctly ("The tree has diseased leaves and its bark is peeling.") https://aistudio.google.com/
Is it Liam Neeson, or his stunt double?
A trained or otherwise skilled composer can hear music in their mind by reading the score (and while he wrote it). For sure, Beethoven knew how powerful his music was. He also intimately knew theory and how music 'worked' and aside from inventing a great number of things in music, he applied theory expertly. Modern day composers in the conservatory track are expected to have the same set of skills. A trained conductor can do the same.
You need a linked list to write hello world in any Lisp, though.

Seems like the glaring exception to the rule!
"Observation of current whirlpools in graphene at room temperature" (2024) https://www.science.org/doi/10.1126/science.adj2167 :

> Electron–electron interactions in high-mobility conductors can give rise to transport signatures resembling those described by classical hydrodynamics. Using a nanoscale scanning magnetometer, we imaged a distinctive hydrodynamic transport pattern—stationary current vortices—in a monolayer graphene device at room temperature. By measuring devices with increasing characteristic size, we observed the disappearance of the current vortex and thus verified a prediction of the hydrodynamic model. We further observed that vortex flow is present for both hole- and electron-dominated transport regimes but disappears in the ambipolar regime. We attribute this effect to a reduction of the vorticity diffusion length near charge neutrality. Our work showcases the power of local imaging techniques for unveiling exotic mesoscopic transport phenomena.
Yup, there's a significant anti-Google spin in HN, twitter. For example, here's paulg claiming that Cruise handles driving around cyclists better than Waymo [1], obviously not true to anyone who's used both services

[1] https://twitter.com/paulg/status/1360341492850708481
If you study modern physics, you'll be surprised by how much uncertainty there is.

Thankfully, uncertainty is not an obstacle for acquiring useful knowledge. Not in physics, not in cognitive science.

I understand your skepticism, but you're missing out on a LOT of very useful advancements in our understanding of the brain and mind, despite all uncertainty that still remains.
‘Airgapped from the internet’ is very much the default state of technology on a ship. Connecting things to the internet seems like something that would require additional steps.
Indeed, Frank Ramsey was a member of the Cambridge Apostles, which included many literal Soviet spies.

https://en.wikipedia.org/wiki/Cambridge_Apostles

Being a great mathematician doesn't always mean you make good decisions.
You are not a commercial for yourself
The needle in the haystack test gives a very limited view of the model’s actual long context capabilities. It’s mostly used because early models were terrible at it and it’s easy to test. In fact, most recent models now do pretty good at this one task, but in practice, their ability to do anything complex drops off hugely after 32K tokens.

RULER is a much better test:

https://github.com/hsiehjackson/RULER

> Despite achieving nearly perfect performance on the vanilla needle-in-a-haystack (NIAH) test, all models (except for Gemini-1.5-pro) exhibit large degradation on tasks in RULER as sequence length increases.

> While all models claim context size of 32k tokens or greater (except for Llama3), only half of them can effectively handle sequence length of 32K by exceeding a qualitative threshold, Llama2-7b performance at 4K (85.6%). The performance exceeding the threshold is underlined.
That’s been my experience so far. My current conversations are crazy long compared to any of my gpt4 convos which I had to frequently copy context from and start over in a new chat
I enjoy peaty Islay scotches. I can sip a single serving over an hour, savoring the flavor, with zero intoxicating effects.
This is roughly what my JSON parser does. It does type-checking, albeit without using JSON-schema, but an object descriptor that you have to define to parse and generate JSON.

It's been developed for embedded systems (it was written originally for a NATS implementation in the Zephyr RTOS), so it's a bit limited and there's no easy way to know where some parsing/type validation error happened, but the information is there if one wants to obtain it: https://github.com/lpereira/lwan/blob/master/src/samples/tec...
Yeah I mean it doesn't capture the people that moved after wfh was implemented. Hybrid is appealing if your office is 500 miles away.

Claiming it's hybrid is disingenuous imo.
Threadrippers exist, but would Strix Halo then use Threadripper sockets? Would it use its own sockets? I don't expect Strix Halo to appear in any socketed form.

I think you're right that it'll appear in SFF PCs, like most of AMD's mobile parts do. And that is pretty exciting IMO.
Enjoy some Tarkovsky.
Some intersections have a sensor under the asphalt to detect a vehicle and sequence a light transition, and its not a new technology
I now alternate between regular beer and NA beer. I get to drink as much as I want, I do enjoy the taste, and I don't get drunk or hungover.