skysight-inc/HackerNews huggingface dataset:
Lack of experience is a perfectly valid and often very rationale reason for something being a bad choice, especially when considering upskilling costs and possible challenges in finding new hires proficient in the chosen technology.

The new technology needs to be sufficiently better than the existing to justify the investment or ongoing additional cost, and not just “has more features”, it should be solving problems which may otherwise not be reasonably solvable.

In a past job we had an incident where a dev had unilaterally decided to develop parts of a .NET project in F#, when the contract was for a C# project to be ultimately handed over to the client.

This was a run of mill back-end API, there were no interesting requirements that could possibly justify saddling the client with a need to hire for a relatively niche language.

The dev in question had this general view that F# was an underrated language and technically better than C# and if other devs would just give it a chance, they’d see for themselves.

What they totally ignored is that hiring C# devs is super easy here, F# though, not so much.
I think this is a key insight with some details: there isn’t an entire shadowy org that operates without jira but there are teams of people, usually small who do amazing things without jira. I imagine the manhattan project ran this way but you still have elite teams like this in every org. Eventually they need to hand it off to a jira crew and that’s unavoidable.
Native RAG on Apple Sillicon Mac with MLX
That’s true, though you have to engage with the behemoth to get to that point.
sounds like you didn't get the joke. oh well.
It’s not like Nintendo will sue Apple for using an emulator with copyrighted ROMs are facilitating pirating…
This is wrong. She got her PhD in 2003 and got a faculty position in 2009 in Sweden. She moved back to Germany for family reasons.
Yeah, the only case I've personally seen them paying off when you're using them as more of an integration test -- i.e. the component under test is a large complex one, containing many sub-components, and you want to make sure they integrate well together -- but setting up the various cases is easier at a component level than in a full ETE test (e.g. maybe render it over a list of data/prop examples and check it renders as expected). But this is relatively rare.
Out of all the professionals, Neil and company are the only community willing to publish my discoveries despite the fact I'm amateur. Looking up A297189 and learning it wasn't known to approximate 7^(1/2) was a thrill.
It often feels like the only requirement to be an executive at a large corporation is the ability to create plausible deniability via willful ignorance.
This does read like a joke, I had never heard of it either and I'm wondering if many people do use this at all..

Operations on cepstra are labelled quefrency analysis (or quefrency alanysis[1]), liftering, or cepstral analysis. It may be pronounced in the two ways given, the second having the advantage of avoiding confusion with kepstrum.
While "don't let any possible attacker see the device" is good defence in depth it is a pretty shitty only level of security. Even if it is protected outside of your local network many people have crappy IoT devices or even just laptops with malware on their network.

In top of that this won't even really prevent this vulnerability as it can be triggered by a GET request. This means that if you are connected to the VPN any site you visit can trigger it. (If they can guess the hostname or IP)
Anecdata: I lease an EV for $200/mo on a 3 year 30k miles/year lease. Definitely can see this work.
Depot Build API: build Docker images as a service
And the last time that was tested with Connectix and Sony, Connectix won in the end but faced so many legal fees they still had to end up selling it to Sony and abandoning it.
Yeah, things like summarization and general chatbot use are some of the most impressive things LLMs can do, yet maybe the last things they should be used for in a business setting where the accuracy of the output matters. Air Canada found this out by being dumb enough to put an LLM-based chatbot into production.

Better use cases for LLMs are either where:

a) There is a non-judging human in the loop who is using the LLM as a tool, and accepts it's errors/limitations. It's a bit like asking a co-worker for advice - they might have something useful on occasion, but you're not just going to take what they say unchecked and put it on the company web site or send it to your boss as accepted truth.

b) You can verify the output of the LLM in someway - maybe easier if it's a structured output of some sort (SQL query perhaps) rather than free-form text.
So, much like any other code base.

Bit of a https://en.wikipedia.org/wiki/Curate%27s_egg
For an example of binsearch algo, I recently dipped into this while switching some code from floats to fixed point arithmetic (reducing overall wasm blob size)

https://github.com/serprex/openEtG/blob/2011007dec2616d1a24d...

Tho I could probably save binary size more by importing Math.sqrt from JS
I feel I used the word 'meme' appropriately

"A meme is an idea, behavior, or style that spreads by means of imitation from person to person within a culture and often carries symbolic meaning representing a particular phenomenon or theme."

Paper authors use "All You Need" to allude to the well-known transformer paper, even if their proposed technique is not in fact all you need.
I also get the impression that the definition has shifted, though I don't recall malicious intent from the vendor/author being a part of it. Classical backdoors include things like service accounts that were intended for the vendor, which were genuinely intended for service. Granted, those passwords were intended to be changed. (Also, that's not really appropriate for consumer grade gear though, since consumers have not received that level of support in decades and were not connected to networks when that level of service actually existed.)

Either way though, I do seem to recall intention being part of the definition. Ah well. It's just a new meaning to get used to!
I do something similar with stripe. I add two items to the subscription. A base unit that charges a fixed price up front and monthly thereafter. And usage based second item that bills based on usage minus the pre charged items. Usage based fires for the first time on their second charge.

If the user cancels their subscription, I run it through the next payment period for their usage based billing period and then cancel it.
Nintendo generally leaves the retro, unsupported console emulators alone. mGBA, Project64, Dolphin (except for their request to take down their steam page).
this sentence makes no sense
> Writing proper error handling in C is a very tedious and error prone task.

Managing C dependencies is even more tedious and error prone. And even in C, opening a UNIX domain socket to write a single packet is not that hard.
This is such a Zizek-esk kind of example of the dialectic, but I haven't heard him reference this as a classic example.
That's right, it's not like that. Nintendo sues when they know they can win, as in the Yuzu debacle where keys were extracted and distributed in order for the emulator to work. There's nothing like that necessary for NES, SNES, or even (as far as I know) N64 or Wii. So no, Nintendo would not sue.
a) it is more effort to rationalise something that is written than it is to write something rationalised.

b) if it was that deterministic, then you could generate it without an LLM.
Show HN: A new cross-platform SDK Version Manager for multiple languages.
I have not, but I keep meaning to collate everything I've learned into a set of useful defaults just to remind myself what settings I should be enabling and why.

Regarding Litestream, I learned pretty much all I know from their documentation: https://litestream.io/
vm is a simple, cross-platform, and well-tested version manager for programming languages and tools. It is totally created for general purpose. You don't need any plugins, but just vm. Then everything can be managed.

Maybe you've already heard of fnm, sdkman, gvm, nvm, pyenv, phpenv, etc. However, none of them can manage multiple programming languages. Managers like asdf-vm support multiple languages, but only works on unix-like systems, and makes things look complicated. Therefore, vm comes.
Yuzu is not a retro emulator.
Anybody have a build system that builds as fast or faster than locally?
I’ve migrated between devops platforms multiple times on multiple projects. The barrier is not really that high, and the cost of losing some data is relatively low. You can script most of it or pay a small fee for a user friendly plugin. There are lots of roughly equivalent options, some of them free. It’s nothing like, say, migrating between cloud providers.
Watch the Total Solar Eclipse Live Online with Scientific American
It's not that simple: just because you add a safety margin on a construction element, doesn't mean you're allowed to use this safety margin.

For example if a chain has a certified Weight Limit Load of 1 T, it means it actually lifted 4 T (or 10 T if it's certified to lift people). This is because a lifting sling is tested in very controllable environment when it's new, whereas on a building site it will be subject to dynamical stress caused by winds, it will be hit, it will be used in various temperatures etc.

Now, I'm not saying you're wrong: in case of power cables there might not be such a rigidly defined safety margin in law, and experts may figure out some assumptions, like the drones not operating during wind storms, in which the safety margin is more than needed - and therefore there's some spare capacity BEFORE the the actually needed safety margin.
My gut feeling is that consciousness isn’t as deep and mysterious as people think it is. It’s possible that consciousness is an inevitable result of putting a sufficiently intelligent mind into a body and, as a result, the mind can’t help but weave a story about itself that connects events together.

Similarly with other properties of intelligence and the brain that we like to think are mysterious and deep.
It's not an analogy. It's literally just another basis.

> In particular, for multidimensional spaces, the usual multidimensional Fourier transform only really works if you have a flat metric on that space

What the hell does the metric of space-time have to do with this? When computing a fourier transform, we're not working in 3+1 dimensional space-time, we're working in either an N-dimensional (in the discrete case) or \infty-dimensional (in the continuous case) vector space; while that term contains the word "space" they DO NOT, in this context, have anything to do with Euclidean space or the Pseudo-Riemannian manifold that GR treats space-time as.
Can you explain how this is analogous to oil and gas? Not sure I am there.
Perhaps the resize operation is sending the window size back as telemetry so they can optimize for the most common.

But it is broken and sends every pixel worth of change.
Instructing employees to behave illegally is illegal
David Dunning: Overcoming Overconfidence
Hard to ‘refrain’ from buying health insurance in the middle of cancer treatment eh?

Or ‘refrain’ from buying house insurance because someone tripped in your house and is suing you for $1M worth of damages, or you discovered your house was built in a high risk fire zone.

Or ‘refrain’ from buying vehicle insurance after an accident because the state will not let you drive without valid insurance.

That’s the whole point.

Because for normal humans, there is no difference between ‘insurance won’t be issued’ and premiums shooting up from $100/mo to $90k/mo. especially when the policy renewal period is in the middle of whatever is going on. Like trying to live. And if insurance companies didn’t have caps on premiums, that’s what they’d do - or just cancel it to avoid even worse PR.

At least ‘pre existing conditions’ aren’t automatically a death sentence when trying to switch insurance anymore eh?
Do you have evidence that they make money on their plan? My impression is that insurance of last resort isn’t cheap to provide, they’re only getting the people that were too high risk to qualify for a cheaper commercial plan.
Reading the paper the thought occurs that IF the likelihood of correct response increases by the number of agents employed AND this involves application of a function (whatever) to select the 'best' from the possible answers, doesn't that imply that LLM has insufficient dimensions?

In other words, I am wondering if LLM hallucinations [sic] are in fact symptomatic of 'conflation' which could itself be the result of insufficient dimensions.

Thoughts?
Agreed, and if it fails often enough, isn’t the bar at which a human or general-purpose, traditionally structured automation is going to be superior pretty low? This is how I think this bubble will pop. No doubt, LLMs are a breakthrough tool, but I’m sincerely skeptical of all but the most granular applications.

Perhaps the moral is that diffusing LLM agent accountability has the same failure model as the pre-existing human one.
Thanks so much for making this game - I’ve had hours of addictive fun playing it. So compelling!
Burlington VT just revised its zoning pretty radically. Keep an eye on it for a few years.
Tangentially related: if anybody is looking for a good way to organize a library of retro emulators and games on their MacOS laptops/desktop computers then I recommend OpenEmu. It is designed from the ground up to look and feel like a Mac app.

https://openemu.org/
https://github.com/OpenEmu
Some of them might provide a nice place to sit and rest.
Deepmind did a study of which language classes different neural network architectures can learn with generalization: https://arxiv.org/abs/2207.02098 ("Neural Networks and the Chomsky Hierarchy")

LSTMs could learn slightly deeper into the Chomsky hierarchy than transformers, neural turing machines could learn them all including recursively enumerable (context free grammar or turing machine to produce).

Transformers did outperform LSTMs in something in an alternate hierarchy if I remember.

It's not conclusive since it is not training indefinitely, there are formal proofs that many architectures can do things that they can't actually effectively be trained for, but they threw a lot of compute at it.
I suspect the things built on the internet are a mixed bag more than the internet itself. On the one hand, the possibility to share information and learn more about the world is probably a huge positive, on the other hand stuff like social media is probably as damaging as tobacco or leaded petrol.
> Why are insurance rates regulated by the government?

Why wouldn't they be?

The only reason why you might believe they shouldn't be is if you fell for the "free market knows all" nonsense.
The people I've talked to who can visualize say they can consciously see the objects in mind, confirming it looks as if they are looking at it on a phone (as a rough analogy). There is apparently a wide range of ability regarding this, and the abilities seem to be about as common as the limitations, such as not visualizing faces, and seeing historic data in black and white or blocks like Minecraft. Some people can't do motion, some can't do high detail. My mom can do detailed trees with leaves and see landscapes from anywhere she has been, but no creative ones. She also doesn't do faces, nor does she have echoic recall. A recent conversation with a visualizer confirmed they were doing creative rendering of scenes (mesh + texture + lighting) but had low detail on things like tree leaves. They said they were for sure "seeing" the imagery, as if it were a type of "screen" in mind.

I've questioned maybe 200 people about this over the years and when someone starts talking about spatial understanding and not seeing pixels, they aren't really talking about seeing anything in mind, but more understanding it. I can do the "feeling" thing, which I reference as "I have the mesh, not the map". People with Aphantasia appear to hold facts about objects, but not actually generate the imagery where they are conscious of seeing it. It would be a little like having Dalle3 generate an image from a Claude Opus 3 prompt, then uploading it to Claude to look at. It can't do generative images, but can look at them and inference.

Maybe someone that visualizes strongly here can confirm that what you are indeed seeing has aspects of light, shadows, color and the things we consider attributes of "pixels"?
I would love to own one for the short 1-2 mile trips to shops and the hardware store, but alas, these are not legal to drive in the US (safety & crash testing standards), and it's especially illegal in California if they are gas powered and not EV.
It feels off because it makes no sense and is a completely biased system towards a small group of people. Ultimately this is just more class divide. Corporate entities and the legal protection they provide are accessible to only the wealthy and elite. They are another mechanism behind which the wealthy can run afoul of the law and the entity absorbs the negative repercussions while passing through all of the profits.
What about creating new processes?
maybe the normalize_embeddings flag on encode?
Adventures Making Vegemite
Ironically enough, the government has been moving in the opposite direction - No fault compensation schemes like NCVIA, anti-lawsuits bills like PLCAA, limits on torts.

I do wonder why? Must be Big Business (in the NCVIA case, Big Pharma), right?
>crappy IoT devices

Those should all go on their own vlan, or for a more Joe Average(tm) approach the guest network.

>laptops with malware on their network.

At that point you've got bigger fish to fry than shitty firmware, all bets are off.
Half a year to build a house for one person? If you can do this then definitely no need to hire builders, builders themselves cannot do the work nearly this fast.
> There are many makers of small, low-cost electric trucks.

I'm pretty sure the Goupil G6 is the biggest in this market and is readily available and used in a lot of places (on industrial scale).
What a bunch of nonsense.

If you believe that in an infinite time scale the spike of a "random walk martingale" will exceed every level, then you also believe that you'll go bankrupt even if you don't sell insurance at break even. Maybe mathematically incorrect, but entirely irrelevant in the real world.

IN ADDITION, the money that insurers make isn't just the underwriting profit but also the investment profit. You you're talking twice as much shit as the average HN commenter.
'We argue that exclusion relates to racialized images of masculinity and femininity, and shapes dating and marriage outcomes, and thus minority groups’ possibilities for full social incorporation.'

People should be free to date or not date people of a certain race without being considered "racist". The title and abstract suggest that whites' dating preferences are a social problem.
Evaluating the Language Consistency of Local and Cloud-Based LLMs
Yeah, this is just a continuation of the demise of tv repair shops.

Consider from the perspective of an average, non-technical person - someone who has never installed an OS or opened the case.

Their $900, 3-year old system "breaks". It'll cost $100 to diagnose, and anywhere from tens to hundreds to fix. Is it worth it? They're going to consider just buying a new $900 system, which will be faster and back under warranty again.

While a broken tv could be a $0.50 capacitor, the shame is a huge number of "broken" computers are purely software problems: sometimes malware, sometimes fixed by updating a driver, or even just changing a setting (And of course also "fixed" by paving over and installing a new OS).

This isn't hard to learn, but understandably people don't have the time or desire. And the value-risk-cost balance is off when compared to buying new. So perfectly good hardware becomes e-waste.
I aspire to be you when (if) I retire.
Who were the top level executives while this was going on? Why don't these articles ever lay blame properly? And what are the consequences for those individuals? And what is being done to ensure it doesn't happen again?
How does your model account for the probability that cheaper competitors are simply bad actors who have not yet been caught?

In fact, without something like criminal penalties, why would the board encourage safer/legal business practices? Seems like they might equally say, well that was a good run now find us another dastardly product that can bring our prices back down to our competitors.
sorry, I meant innovation * from here * - gflights WAS innovative, but what incentive do they have to innovate any further?

(vs putting resources into 1000s of other google projects...)
It's sqrt(n) - 1 additions for the n you're trying to get the integer square root of. Memoization would make it constant time for any lesser n than the greatest n you've done this for. For greater n it's sqrt(new_big_n - prev_big_n) - 1 more additions to memoize.

You're right this isn't practical, but fun to think about. Good refresher for those out of school for a while.
From the guideline document, emphasis mine:

"Additionally, retro game console emulator apps can offer to download games."

(followed by conditions that apply if you do offer to download games).

My reading is that retro game console emulator apps can offer to download games, not that they must to be considered for inclusion in the app store.
um, I've done it in production for years?
https://www.greencarreports.com/news/1127423_france-s-citro-...
What cheating is there if the students actually learn?
There are a number of reasons why LLMs are "unreliable" (prone to hallucination and bullshitting, as well as just being stochastic).

I think the core issue is perhaps that they don't have any personal experience, nor know the trustworthiness or core competencies of their sources. Their training material is just an undifferentiated mass of text - some might be the writings of Richard Feynman, some the writing of someone on 4chan.

Us humans know the value of personal experience and expertise. If we have seen or done something ourselves, applying our own learned skepticism and knowledge, then we treat that as much more trustworthy than something posted on 4chan. If we read something in a book by a well known expert, or hear it from an acquaintance we have learned to trust, then we also treat that as likely to be true, although perhaps still not as much as if we've seen/tried it for ourselves (for which there is little substitute, since only then can we experimentally test any surrounding assumptions for the transmitted knowledge to put it in context).
Ah ok, you talk about something very specific. Not why embeddings for parts of a body of text appear random. But, why computing embeddings in the same way for a specific body yield different results.

The link is revealing. If f is approximately an associative function and you compute in parallel a,b,c

with the goal of computing

X = f(f(a,b) ,c) ~ f(a, f(b, c)) = Y

in some case you may end up a,b finishing first and then c of b,c finishing first and then a.

So, you end up computing X in some cases and in other Y.

The more values you compute in parallel, the move variations.

Some computations like multiplication, addition fall into this category ....
Making Version Noir
My insurance company asked me for photos of our roof to prove it was metal and not asphalt. From a distance it looks like asphalt because it is metal with a stone grit coating just like asphalt. Could a photo from a drone see this?. Maybe. I also live under the final approach flight path of the local airport so maybe they couldn't verify using their drone.
Not parent (but GP) and intuition can mean many things but what helped me was keeping in mind:

Every continuous periodic function turns into a discrete aperiodic one when transformed. Works both ways.

Continuous aperiodic stays continuous aperiodic. Discrete periodic stays discrete periodic.