skysight-inc/HackerNews huggingface dataset:
Thank you for putting the effort in. I can't in good faith link to these people's dox in a comment here just to prove this to you. I would also get banned off this site for doing so.
its not intended to be a drop in replacement and never has been
Matrix server that is publicly accessible [0].

[0] - https://shpong.com/shpong
Fine. I've got a Document database for user data, AWS Cognito for user ID's and authentication, Stripe for payments, and Postgres for a subset of user profile data that interacts with application data.

Common actions like Create, Delete, and some Updates touch all of these services. Automatic transactions between these would be fantastic. Especially on the billing side, some billing flows involve multiple trips between Stripe and our DB, batching the whole process inside a guaranteed reversable transaction would be lovely.

Of course we're not going to get that with Stripe and Cognito as they expose bespoke API's, but the idea still holds.
The evolution of bio-inspired AI: developments and future direction
Exactly, just a profile of people who would opt in to this kind of thing god knows through what kind of dodgy wrapper, it's like inferring statistics about frontend framework popularity from question in second step after checkout form on some ad on sourceforge.

Chat is just the beginning, there are infinite streams of money generators, probably first interesting dozen will come out from things like githubnext.com
This reminds me of an interesting exeriment I did earlier this year with ChatGPT.

First, I came upon this reddit post [1] which describes being able to convert text into some ridiculous symbol soup that makes sense to ChatGPT.

Then, I considered the structure of my Typescript type files, ex [2], which are pretty straightforward and uniform, all things considered.

Playing around with the reddit compression prompt, I realized it performed poorly just passing in my type structures. So I made a simple script which essentially turned my types into a story.

Given a type definition:

type IUserProfile {
name: string;
age: number;
}

It's somewhat trivial to make a script to turn these into sentence structures, given the type is simple enough:

"IUserProfile contains: name which is a string; age which is a number; .... IUserProfiles contains: users which is an array of IUserProfile" and so on.

Passing this into the compression prompt was much more effective, and I ended up with a compressed version of my type system [3].

Regardless of the variability of the exercise, I can definitely say the prompt was able to generate some sensible components which more or less correctly implemented my type system when asked to, with some massaging. Not scalable, but interesting.

[1] https://www.reddit.com/r/ChatGPT/comments/12cvx9l/compressio...

[2] https://github.com/jcmccormick/wc/blob/c222aa577038fb55156b4...

[3] https://github.com/keybittech/wizapp/blob/f75e12dc3cc2da3a41...
Raking in revenue, but they are burning cash like crazy.
Of course there isn't
I have never heard or felt anyone talk about caste in my 25 years in US. I work with both academia as well as industry.
You can think these ideas are weird, they're not mine, I think a corporation having civil rights is weird too. The infamous line "corporations are people" comes from American politicians, so as weird as it may be, the government itself is inferring it and a court is justifying it as the law of the land.

A key tenet of fascism is protecting corporate interest and power... but okay.
This is exactly what i do. Pressing the leader key and another key to let it type sentences and boiler plate code.

Creating a layer for this sort of typing would also be really cool and not having to use that leader key the entire time.
Canada is Mastercard only
Why aren't MEMS accelerometers enough by themselves?

Well, one should build an HSM to have multiple tamper detection sensors:

- accelerometers
- light sensors (the HSM should
be sealed in an opaque box)
- vibration sensors
- temperature sensors
- air pressure sensors (the HSM
should be sealed in a
pressurized airtight box)
- moisture sensors (the HSM
could be an air- and watertight
box inside a water-tight box
full of water)

Encase the whole thing in a thick layer of resin, leaving only connections for:

- water (for cooling)
- optical ethernet (to avoid
electrical attacks on wire
ethernet)
- an inductive coupling plate
to power everything but the
water pump
- power for the water pump

Put this in a locked cabinet in a locked cage in a locked access-controlled room.
You probably need to dig deeper into the kiwifarms website before you conclude things alleged about it are untrue.
Learn Yugoslavian online for free. No cloud, no whammies. All client-side!

https://vidovi.ch/assets/flashcards.html#
Only 29% is pretty good I would say. I personally would much-prefer to run a dumber local LLM that hallucinates a bit and isn’t too woke.
Is this when we discuss sentient life being just a byproduct? What's the point of it all then... Heavy shit.
One datapoint on BLOB performance: SQLite: 35% Faster Than The Filesystem

https://www.sqlite.org/fasterthanfs.html
The cost of medical treatment is somewhat absorbed by the government, but in car accidents there are typically many more expenses like rehab and loss of income that aren't. Ya, you'll get your broken arm fixed up, but that's often just one step.
ChatGPT was the only ball in the game of soccer, now we're playing dodge ball, and there's multiple balls. Personally, I use generative AI daily but very rarely chatGPT directly.

For modern info/searches/updated knowledge I'll use phind sometimes bing as an alternative.

I use claude for writing - its way more creative/expressive I've almost written a full novel using this and it actually doesn't suck like most AI generated thigns, albeit - I'm breaking things down into pages, and being very specific on minor details/etc... it's just helping craft the visual imagery like descriptive writing etc, and I'll add my own flair on some parts that I'm more passionate about.

I use amazon codewhisperer for coding, and some other vscode extensions that aren't openai related that do a pretty decent job.

I think the questions should be -- has generative ai using language models increased or decreased?

Like you mentioned meta's threads, this would be akin to - asking the question - has social media posts across threads, and twitter averaged less than before threads, about the same, or more?
The only thing they missed on is that POV footage from the drones would get published online and people would makes memes out of it.
this reminded me of speed writing [1]

[1] https://www.reddit.com/r/Classic_Speedwriting/wiki/list108/
Are you a paid subscriber? Like are you using the GPT4 model?
>> GeForce Now also works fine on a plain old Chromecast with Google TV

Thanks, I did not know that!
Curious to see how API usage compares. I imagine those are the most durable / high value use-cases for openAI as a business
Retrieval augmented generation (RAG) is the ‘Hello World’ of AI applications. After all, with popular libraries like LangChain and LlamaIndex, you can quickly build a working proof of concept. But what many don’t realize is that the path from proof of concept to production is filled with layers of complexity that can quickly overwhelm even the most experienced of teams.
How are .Net startup times for your tool, and how do you package your tool?

I like modern C# a lot, but would not pick .Net for a CLI tool due to the slow startup times I experienced compared to rust or go. And packaging the runtime has always felt a bit too annoying compared to a native compilation. I would be interested to learn if you had a good experience, I haven’t dealt with .Net CLI apps since a while, I’m sure things improved.
Try phind.com, it's chatGPT with better search.
> Kubrick took quite an interest in perfecting all aspects of his films.

When he directed the Apollo landings I heard he was such a stickler for detail he insisted on filming on-location…
How would proprietary drivers work on a GPL microkernel like the Hurd? Presumably the driver would be a userspace program. Is there something else that would prevent proprietary userspace drivers on the Hurd? Seems like this must have been something that people have considered before. Otherwise it would be pretty amusing if GNU/Hurd could have NVidia proprietary drivers that Linux wouldn't allow.
Several years ago Walmart dramatically sped up their online store's performance by storing images as blobs in their distributed Cassandra cluster.

https://medium.com/walmartglobaltech/building-object-store-s...
yeah, I felt the same
Hey now, the "real price" after financial aid is a paltry $25,000.
Anyone have data on that?
Aah yes, the renown Honduran semiconductor engineer surplus
Context: 'Tesla hacker discovers secret ‘Elon Mode’ for hands-free Full Self-Driving'

https://news.ycombinator.com/item?id=36412170
You are entirely missing my point. What I'm saying is the concept of caste discrimination doesn't exist in the minds of the vast majority of Westerners. Which would enable the exact scenario you pose:

> If you're trying to hint at some "it happens all the time, it's just hidden from public view", it doesn't.

How would anyone outside the caste system be aware of it occurring? And why would people benefiting from their caste talk about it?
Compared to paying enough attention to all of our myriad elected officials, to know which ones of them are up to what kinds of crooked dealings...having to vote on a Tuesday is a "...and remember to staple your 47-part filled-out-by-hand paper tax filing in the upper-left corner before mailing it to the IRS" sort of detail.
Because if you look around at sophisticated military hardware (which these drones, when they will exist, will be) it's all like that.

I feel that the point our stances diverge is you feel these kind of weapons systems would become something a skilled hacker could make in a shed out of AliExpress parts for a 10$ bom, whereas I view it as being a complex weapon system that would be sophisticated and relies on battlefield infrastructure and complex supply chains to be feasible to properly deploy.

I think if you look at cutting edge weapons, my belief is no hacker could build them in their garage, no matter how sophisticated. Hell, take a look at the pathetic state of "3d printed" weapons to see how I imagine DIY "slaughterbots" would look like.

And acquiring the real weapons would not be easy at all. Heck, even now, if you want to acquire for your projects certain camera or heat sensors you have tons of hoops to jump through to get your hands on them.

Besides, even IF it would be something a DIY-er could do, someone wanting to kill civilians would probably use the most effective tools, least resource intensive, least effort tool, least conspicuous to gather resources and this would not be it. Today any maniac can use a car to plow down civilians or get a gun and go on a rampage. That is low effort high impact. This would be a lot higher effort. Probably kind of the same impact.
The only reason I download these apps is to sign up for their membership so I can get discounts.

It's really no different if someone wants to download the Chevron app to get discounts at a gas pump. It's individuals' choice whether the hassle of an additional app is worth some discount.
Requiring a file from a library that's part of a framework's source code can be quite challenging as it requires either the complete docs or perusing the source code to fully grok what's getting included, especially with the monkey patches.

I don't know the current state of the RoR ecosystem but back then when both languages were competing for similar mindshare this was a massive turnoff.
Donate your old phone and it will keep being used
Definitely don't do this, but you could, hypothetically, jam a half full water bottle into the steering wheel. I supposed that the movement of the water sloshing would be enough to indicate that a hand is on the wheel.
> The valley’s valorization of “disruption” — a euphemism for destruction — allows bad people to keep winning.

I've spent most of my life following this religion, but over the last couple of years I've started to think that we maybe can't, as a species, afford to entertain this "disruption" model. We need less disruption, and more resilience. You can make the argument that disruptive startups play "chaos monkey," hardening the economy through adversarial inoculation, but I'm not convinced we're building anything useful—only exploiting local optima with structures that will collapse like California's aquifers as they undermine the economic sustainability of their own milieu.
I got bored with 3.5 but and it's bizarre range of errors, but I'm sure I'll dive in again when 4 is made public. I imagine interest will continue to wax and wane with different releases, especially ones with newsworthy improvements.
curious why this was downvoted, is it incorrect in some way? anecdotally my org is doing just this however I am not sure if that does or does not count against whatever metrics were reported in the OP (it mentions traffic to that site in particular).
You might be thinking of some other literary work; Gulliver's Travels isn't known for being particularly hard to read.

Myself, I was reminded of Finnegans Wake by James Joyce.
Probably one or more people are working on that. But Linux and FreeBSD exist and have had a whole lot of testing hours put into them, both per se and to test various libraries and programs using them as their OS, so for now, that’s the safe option.
The Recognitions by Gaddis gets you the 1950s in similar fashion (and it's clear he was a major influence on those postmodern tome style writers who came later). Pynchon has pretty good coverage of the 1960s. Then DeLillo and Ballard get you through the 1970s. It's fascinating how much history and culture you can pick up through some of these fiction writers.
Navigating between gates is usually done by flying what you can see and reacting real-time to conditions.

When you get to a gate, or perform a turn or a split-s, these manoeuvres can be executed faster than you can see and process so Instead you go faster than your brain by memorising the timing of your inputs and execute them from memory rather than flying what you can see.

For example, if i want to do a barrel roll, i don’t watch the horizon. Instead i rely on my memory of how fast it rotates at full stick deflection.

Sometimes these set pieces go wrong - you clip a gate for example - it’s usually my hearing processes that a fraction of a second before my vision does.

It’s quite common to fly without vision for short periods, the analogue video feed is not reliable.
It's replaced StackOverflow for me.

Not having to deal with the attitudes of: "Why are you doing it this way" thrown at you while standing in front of an online audience has uplifted my worry on programming.

With GPT, having a non-judgmental "you could do it that way, but what about this way?" is really pleasant. Especially for someone who's not a dev/programmer.
No one is going to link to victim dox in a public HN thread. It would get our accounts banned and also further victimizes these people who were harassed by the site. Thank you for looking at the site for yourself.
> forget the history behind the formation of Taiwan

> where it has no right to be

Would you like to tell us your version of history according to which Taiwan has no right to be? Because in the one I'm familiar with, one of the factions fighting the civil war won almost everywhere but failed to invade that island.

The fact that they've resisted and survived certainly gives them the right to be, by definition.
Twice a month I'm writing some contrived recursive function, or basic unit test suite and think "Oh boy, actually something I can ask chatGPT"

Otherwise, no.
Sorry I know this is off topic, but I'm a recently diagnosed T1D and I would like to get more information about Loop and other loop-like open-source systems.
Seems natural as more people figure out what it’s good and not good at.

It’s not the magic oracle that AI influencers want it to be, but it’s also a useful, sometimes very useful, tool.
Not sure I agree with this advice. Most of webdev today is about actively avoiding the DOM. That's not to say you should not know what is below, but the rabbit hole can get deep. Accessibility is something that unfortunately is not high on the list of most people's priorities. You might say that's bad, but knowing it will not help someone learning the ropes to get an app done so they can learn more.
Stadia was not ahead of its time. It was a latecomer to a growing field that Google dipped its feet into, but never fully committed to. I'm pointing this out not to be pedantic, but to illustrate just how thoroughly Google dropped the ball on it.

In 2010 OnLive was launched to the public, creating the first version of a public Stadia-like service. It worked the same way; you opened a browser or an app and you could play a game that you bought on it (I think back then it was a subscription model? can't remember)

Around the same time, Gaikai and Sony partnered up to create the predecessor to Playstation Now streaming.

Then Nvidia entered the game in 2012, right around the time they started adding hardware-accelerated video encoding to their GPUs, launching Nvidia Grid with some partners. By 2017, Grid evolved into GeForce Now and could play the user's entire Steam library (unlike today, back then ALL games were available, not just ones opted-into by the publisher).

Stadia didn't come around until 2019, nearly a decade after OnLive. Google being Google, they didn't want to do what Nvidia did (make existing games playable), but instead created their own architecture that was easier to launch and easier to use, but required users to re-purchase existing titles, usually without cross-saves and cross-plays. (Edit: It also required devs to spend time and money porting the game to Stadia's platform, vs a one-click opt-in for GeForce Now). So it sat in its own little bubble, away from the entire rest of the PC ecosystem (which was Steam and/or Games for Windows back then). It also had inferior graphics compared to Nvidia's cards (notably lacking raytracing, ultrawide, etc.) and Google flat-out lied about its capabilities (like Orcs Must Die 3 games being made a Stadia exclusive at launch because "only the cloud" could run it smoothly, except it came out on Steam a year later and was just fine).

They did some minimal barebones marketing targeting casuals. Fast forward a few years and they just completely abandoned it, while GeForce Now continues to grow, gaining EA, Ubi, and now Activision Blizzard games as official partners. Amazon has Luna, Microsoft has xCloud (or whatever it's called now), Playstation has PSNow (or whatever it's called now), Shadow, Boosteroid, AirGPU etc. are all alive.

Google didn't invent game streaming. They didn't perfect it. They launched a slightly more polished experience that was significantly more expensive, had terrible sales compared to Steam and its 3rd-party resellers, and and gave up on it in its adolescence. There was nothing "ahead of its time" about it, it was just another could-have-been that Google toyed with and never seriously invested into.

https://en.wikipedia.org/wiki/Cloud_gaming#History
I don't think you watched the video which provides a much more simple explanation (and more importantly simple to carry out) than "ice cream is a loss leader that a bean counter discovered 85% reliability minimizes losses".

For one, franchise owners decide when to do repairs that are prohibitively expensive. Two, the failures are not "random" and likely store based (one franchise down for 2 weeks rather than 10 franchises down a day) because it's owner discretion on when to fix it. Three, there is demonstrated profit in the McDonalds <-> Taylor collusion based monopoly.

There's no need for an elaborate spreadsheet conspiracy. Taylor is using a contract which enables them to charge exorbitant amounts for labor and prevent the free market (iFixIt and Kytch) from providing equivalent labor (theoretically under equivalent liability) at a much cheaper cost.

There is very clear conflict of interest.

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

https://en.wikipedia.org/wiki/Principal%E2%80%93agent_proble...

Mcdonalds is making a contractual obligation on behalf of the franchises and that contractual obligation benefits McDonalds at the cost of the Franchises.
It most likely also looks better than random noise.
The report seems to exclusively focus on how the nuclear lobby works, and how allegedly all support for nuclear is either ideological or astroturfed. How this "undermines the EU's energy future" (I suppose closing the German nuclear fleet aided EU's energy future?) is not explained beyond a one-sentence reference:

When, in 2019, the Rutte III government commissioned studies that concluded that nuclear energy would make reaching the 2050 climate targets more expensive, it organised, with input from the industrial lobby, a counter-study that claimed the opposite.

Given that the German government knowingly lied about the viability of nuclear, claiming fuel rods could not be acquired fast enough after fuel-rod producers told them otherwise, and used such nonsense arguments like "Germany lacks natural gas, not electricity" (while gas and coal are used to generate electricity) [1], I am very skeptical of anti-nuclear studies, and until proven otherwise, assume they are written by activists working backwards from the conclusion they want to reach.

For another example of this "logic", look at Why the nuclear phase-out was the enabler of the energy transition [2] - the "why" turns out to be because the government increased funding to wind and solar at the same time as it shut down nuclear. In other words, there is no causal link.

[1] https://public.substack.com/p/anti-nuke-greens-menace-europe

[2] https://www.cleanenergywire.org/news/qa-why-germany-phasing-...
I like the part about having to eat only oatmeal leading up to the heist. Quite a few operations have been ruined by the runs it seems.
Test Boredom: Exploring a Neglected Emotion
One good use case my friend shared was "create a list of CEO/CFO/COB of the following companies in this format (csv file format)" and send a list of companies.

Someone was going to write a scraper to look all this information up based on company sites or SEC reporting, but chatgpt4 was able to do this in less than 5 minutes (of course YMMV for veracity, but in this case an 80/90% solution was a much better start than spending a day scraping hundreds of sites.
Thank you for your comment!

WASM gave Figma a lot of speed by default for a lot of perf-sensitive code like rendering, layouts, applying styles and materializing component instances, our GUI code is mostly React and CSS.

WASM engine performance has not been a problem for us, instead we are constantly looking forward improvements in the devex department: debugging, profiling and modularization.

One of the largest challenges of the platform we face today is the heap size limit. While Chrome supports up to 4GB today, that's not yet the case for all browsers. And even with that, we are still discovering bugs in the toolchain (see this recent issue filed by one of our engineers) https://github.com/emscripten-core/emscripten/issues/20137

The challenge of the perf-testing at scale in our company is helping developers to detect perf regressions when they don't expect them - accidental algorithmic errors, misused caches, over-rendering React components, dangerously inefficient CSS directives, etc.
Github Copilot FAQ: "GitHub Copilot is powered by a generative AI model developed by GitHub, OpenAI, and Microsoft."
You might like Atuin*! It fuzzy searches your shell history + optionally syncs it between machines

https://github.com/atuinsh/atuin

*: shameless plug, I’m one of the maintainers