skysight-inc/HackerNews huggingface dataset:
One can go on Amazon and order himself a high powered FM transmitter direct from China. Stick an antenna in the attic and you'll be heard for miles. If you don't gaf about spurious emissions or laws or anything like that you too can be Christian Slater in Pump Up the Volume. The fines for this in the US can be pretty severe but Amazon is happy to sell you the rope to hang yourself with free shipping.
I don't think there should be a social pressure but I'd hope there would be some internal moral pressure. If I knew I had 10x the wealth of someone else I would feel bad not paying for things when we're together, like bringing a a younger sibling out to get food when they're in school and you have a job - they might have some savings but each dollar is worth so much more to them.

When there's a need I think in general whoever is best able to handle the situation should be expected to do so. This example is a bit extreme though because it's talking about nice gifts. If someone in the friend group had a car break down and couldn't afford a new one I would definitely think less of this person for not offering to help when they so easily could.

Not completely related - but this reminds me about things like parking tickets which disproportionately impact people with less money. If they're meant to be a deterrent then the fine should be some proportion of income, the $50 fine for one person needs to be a $50k fine for someone else to have the same level of impact.
For those interested in doing something similar there's a Plex add-on for making custom TV channels:

https://github.com/vexorian/dizquetv

Personally I want almost this. I want to rotate the TV shows my kids watch in the morning but I don't want to start part way through a show (the one part of the old analogue experience that I don't miss at all). Difficult to square that circle.
I agree. I was merely saying that these were (and still are?) widely promoted even though the various problems were (are) well-known (and now intensified by AI).
I absolutely agree. Probabilistic statements are fine and useful. Assumptions X equals Y in speech probably not.
How to exactly address this is not quite clear, that's why I thought the article was quite interesting.

(and obviously fixing the labelling of professor = man in text generation is actually much less useful for gender equality say than dealing with actual issues that lead to the P(X|category1)!=P(X|category2))
This is an excellent point. At the end of the day, rewriting is time and resource intensive. If there isn't a very good business case to backup the change, it's very difficult to justify the project.

This is why you see so many whitepapers trying to quantify things like consumer trust, reputational damage, regulatory, impact, etc. If there is a true cost to the damage, the investment in prevention can be made and compared with other requests, like new features, scope, etc.
... why though? Like, I don't see the point and there is no explanation in the README, either.
For us it's not really about financial cost (we are tiny). It's more about human/emotional cost. We are moving from AWS to Azure primarily because it's actually feasible to delegate things like AAD administration to ordinary business people. If you make your roost inside AWS/GCP, you will almost certainly need a FTE to help align your business to the technology. In our case, I am that engineer who is way oversubscribed to various technology concerns. For an example of what I am talking about - go try to create a new S3 bucket that allows for a customer on the public internet to download a file.

Does AWS even have a competitor for Azure's Enterprise Applications in terms of unified auth, proxy, conditional access, et. al.? I couldn't find one but perhaps I simply got lost somewhere in their cavern of confusingly-similar products. To be fair to Amazon, we still use them for S3 and domain registration, but those aren't very difficult to replace.

The obvious elephant in the room is that we are a Microsoft shop and all of this makes a ton of sense from our perspective. But... Is there actually a better business stack out there? I've never seen one of our partners, vendors or customers using something from google's stack. I did spot one vendor using lotus notes and an AS/400 session though.
As in you were in that very thread? Cool coincidence if so!

But yeah generally I agree about the tooling, they're relying on methods that seem to be even more superficial and random than username pattern matching, and we really should be turning to the likes of Bard and OpenAI to instead implement solutions to make that easier.
Yeah, proprioception in general is amazing. I always find it fun to do stuff like close my eyes, then quickly spread my arms apart, and just as quickly bring them back together and try to touch specific finger tips together; seems to be generally easiest with index and middle fingers for me. I also enjoy being able to extend that proprioception to tools - being able to feel the engagement of a screwdriver with a screw head, etc.
> "you can even more easily get it to say that it doesn’t have personal opinions and yet express them anyway. So which is it? It’s clear transformers can’t understand either case. They’re not architecturally designed to."

Although LLMs are essentially bullshitters, this particular problem related to expressing personal opinions is due to the ad-hoc lobotomization measures by OpenAI, not because of any architectural limitations of transformers.

The recent GPTs provided by OpenAI (every model more recent than code-davinci-002) are trained in at least two stages. The first stage (the pre-training) trains the raw base model to minimize perplexity. This raw model is kept secret because it will autocomplete sentences without any regard to decorum so if you say "adolf" then it will obviously complete it like "adolf hitler" which no billion dollar company wants. This raw model is where all the cognitive power is, and access to this raw model is the holy grail of every discerning LLM enjoyer. To lobotomize the GPT and to make it answer questions in ways that don't require framing them in an autocomplete way, OpenAI adds an "RLHF" training step. This is "reinforcement learning with human feedback" where they train the GPT to answer questions in certain ways. This dumbs down the AI, but it also makes it friendlier for normies to use. Finally, they put secret pre-prompts which might also cause it to give confusing answers in even more ways.

TLDR: LLMs are inherently bullshitters, but the "doesn’t have personal opinions and yet express them anyway" is some extra bullshit that OpenAI did so that NYT doesn't write mean articles about them
The 'hurtful' idea of scientific merit
That's averages over the whole countries though - the north and west of the UK (particularly the Scottish Highlands and the Lake District) are a lot wetter than the south-east where London is.

Also, "volume of rain" might be misleading because it doesn't give you a feeling for how often it rains. The Highlands in particular can have a light rain that falls for weeks at a time (or at least seems like it if you are in a tent).
The M1 MacBook Air lasts over 12 hours on battery and runs silently and cool while being fanless. I purchased mine new on sale for $750. Where is this magical laptop that beats the M1 Air?
A non-techy podcast I listen to has a host that says "grok" regularly and it drives me crazy. Just say you "get" it like a normal person.
Then why have a public subreddit?

Maybe I'm misunderstanding OP. IT sounds like there are people on a subreddit talking about politics all the time. That's annoying, but that's also basically the behavior of most people on reddit, bot or not.
dupe https://news.ycombinator.com/item?id=35714347
I disliked Windows 11 (and Windows in general). Windows 10 was mildly tollerable with tweaks. Windows 11 added a lot of negative features so I had no interest in using it, even for a gaming only PC.

I upgraded my Surface Go to a Go 3 which comes with W11 pre-installed. I was planning to attempt a downgrade to W10. After using W11 for a while, I realized that many of the annoyances that were particular to using a tablet/laptop were greatly improved.

So now, I'll keep using W11 disabling as much of the extra crap that I can get away without.

Maybe if/when there's a "MacBook Touch" I could use that. In theory an iPad could work, but the software is so limited to consumption and not development/creation.

I'm really only running rekordbox, Ableton, and StarCraft2 on the Surface Go3. Audio drivers on Windows still mostly suck.
All I could think of was the song Radio, Radio. See the line about cleaning up the nation.

https://genius.com/Elvis-costello-radio-radio-lyrics
Generally, Hidet outperforms other inference compilers - PyTorch Eager, ORT, TRT, TVM. For example, PyTorch Eager - too much framework overhead. ORT -doesn't do operator fusion. TRT - close-sourced and hard to fix if a model can not run. TVM - tuning time is too long, also limited expressiveness in optimization.

Additionally Hidet comes with Hidet Script, a brand new domain-specific language to write tensor programs in Python with high flexibility to express optimizations that can only be done in C++ CUDA C code. Hidet Script also supports operator tuning and automatic fusion.
Money can replace dependency and attachment, and some people get very offended by it. Other people appreciate you not burdening them. People are hard to parse.
I've been paying for a lot of things for my friends recently as there is a very large imbalance in wealth between us which is more recent.

These are my best friends for the 20 years, same gang and they would never ask anything of me and always offered to contribute.

I still felt sort of akward about how I was approaching it. Even if we tell each other everything and are transparent about money.

I wanted to let them know that I don't care about the money at all, it's just the experiences that it will allow that matter to me and giving back to family and friends makes me feel good.

However I have started just acting more normally and not insisting on taking care of everything,I think people feel better this way.

So this article frames it nicely for the things I will be able to contribute still in a way that makes sense.

I imagine that for people with newer or less strong friendships it must be even harder to manage.
I didn't downvote you, but I did notice that you are making repeated assertions about price disparity between direct and third party; multiple people are posting actual links and experiments showing you wrong; to which you more vehemently ("idiots") repeat the assertions (without evidence).
Non-paywall summary: https://unsafescience.substack.com/p/our-defense-of-merit-in...

Journal article: https://journalofcontroversialideas.org/article/3/1/236
The first time we ever had cats, we put little bells on their collars so we knew where they were in the house.

One night is all it took for us to remove those bells. Never again.
I dug through some of the videos they have put out, and the wheels are activated by reading the ODBII port on the car. Which means that they monitor the stock gas and break pedals to determine when to move.

You can potentially add a pair to your gas car and turn it into a hybrid, or add 4 and replace the gas engine completely.
"Why do you care if you're talking to a human or spambot" is one of the weirdest questions I've heard in a while.

Who actually wants to talk to an unidentified AI?
“Those spikes for std::lower_bound are on powers of two, where it is somehow much slower. I looked into it a little bit but can’t come up with an easy explanation. The Clang version has the same spikes even though it compiles to very different assembly.”

I saw this and immediately went “oh, those look like Intel hardware”.

Intel uses 12-bit memory port quick addressing in their hardware, resulting in an issue known as “4K Aliasing”. When addresses are the same modulo 4K, it causes a collision that has to be mitigated by completing the associated prior memory operation to free up the use of the address in the load/store port system, effectively serializing operations and making performance very dependent on the data stride.

I first bumped up against this when running vertical passes of image processing algorithms that got very slow at certain image sizes, a problem that could be avoided by using an oversized buffer and correspondingly oversized per-line “pitch” to diagonally offset aliased addresses (at a small cost to inter-line cache line overlap).
Windows kernel already had rust and now has Rust.
I used ChatGPT to write the same routine in ten obscure programming languages
IMO whenever Amazon is actually faced with competition THAT KNOWS WHAT THEY'RE DOING they fail.

In the Netherlands someone copied Amazon 20 years ago and by the time the real Amazon showed up they didn't really bother to invest. And we all know how they got decimated in China.
They will feel obligated to repay you, at least socially. Framing it explicitly in terms of monetary success -- or moreso, something you have that they don't -- I feel adds unnecessary value judgement.

Instead, suggest something they could do today which is of equal social cost to them and equal social benefit to you. Say -- if you paid for an expensive weekend vacation home, maybe next year they can host you at their Uncle Whoosit's place up in rural Maine.
It really depends on the person.
Half of friends are like whatever.
Half will send you a Venmo/zelle for an estimated amount if you refuse.

I end up making sure to order modestly with the second half, as its not being generous if they are going to reimburse me later.
I could see it being further outlawed/discouraged as climate change starts to bite
I just meant as a replacement for your main input power regulator - for the 7805 way too many people still use.

You are absolutely right that there is a role for LDOs in modern devices.

There's no reason for most hobbyists to be using super hot, super inefficient and super constrained high-dropout linear regulators from 1972 when there's a pin-compatible all-in-one switching module for roughly the same price. To pull more than a couple hundred mA at the lowest voltage differential you need a heatsink!
Only it didn't really trick her family and only got through very first level of the bank:

>My sister, whom I call several times a week, said the bot sounded just like me, but noticed the bot didn’t pause to take breaths.

>When I called my dad and asked for his Social Security number, he only knew something was up because it sounded like a recording of me.

>A Chase spokeswoman said the bank uses voice biometrics, along with other tools, to verify callers are who they say they are. She added that the feature is meant for customers to quickly and securely identify themselves, but to complete transactions and other financial requests, customers must provide additional information.
> only ever one generation away from going ferral

That doesn't seem right to me, as we cannot survive childhood without adults. Young humans are ready for life in society long before they are able to survive on their own without support from the society around them.

We have been depending on the continuation of some form of society for likely hundreds of thousands of years, not just for staying civilised but simply for survival.
How beautiful and terrifying. Thank you for sharing your story.
Nice to see also "anti-AI" innovation. Something like this would be much needed also for newspapers.
We put an AirTag on our cat's collar. Works like a charm.
I see you edited this substantially, but outdated info remains outdated.

So, before, you said:

> Feel free to provide information that proves otherwise.

OK, then, I will.

Here's a story I researched and wrote myself about a 3rd party store:

https://www.theregister.com/2022/02/04/rudra_sarsawat_ubuntu...

Here's his announcement:

https://forum.snapcraft.io/t/lol-an-open-source-snap-server-...

I attended last year's Ubuntu Summit. There were multiple talks on Snap. Here's my report:

https://www.theregister.com/2022/11/09/canonical_conference/

One talk was by Viktor Petersson:

https://www.screenly.io/blog/author/vpetersson/

This is his company, Screenly:

https://www.screenly.io/

Screenly does autonomous remote managed digital signes, running Ubuntu Core.

As you probably know Core has no other packaging format than Snap:

https://www.theregister.com/2022/06/17/ubuntu_core_22/

So Screenly needs to distribute updates as Snaps, and in his talk, Petersson talked about the issues around that in some detail, including that Screenly runs & hosts its own private Snap store for this, and that it's built 100% from components in the Ubuntu repos.

I also talked to the developer of the Snap format, and the Ubuntu desktop lead, and they told me that they keep their store closed as a security measure, but it's perfectly possible to run your own.
Yes, the APIs are there, with minute accurate real time data. Would just have to do it ;)
Is the regular version of sudo really riddled with memory safety concerns? Historically there have been few and far between security vulnerabilities.

I’m not convinced that rewriting something in rust makes it automatically safer.
Which gem? There are several that bind against libcurl.
Food that eats food isn't ever going to be efficient.
Also you want your voice assistant to play you music not hassle you about correct pronunciations.
HDMI seems to be two way, my ps5 turns on automatically when I turn my TV on.

So you should be able to do something with that.
Yes, it seems like casting story-generation as a planning problem was a standard approach, at least in the recent past (I'm guessing everyone is turning to LLMs now):

Story planners start with the premise that the story generation process is a goal-driven process and apply some form of symbolic planner to the problem of generating a fabula. The plan is the story.

https://thegradient.pub/an-introduction-to-ai-story-generati...

As an aside, it is obvious from that The Gradient article I link above that story generation was doing just fine until LLMs came along and claimed they can do it right for the first time ever. I can see that the earlier approaches took some careful hand-engineering, but they also seemed to more reliably generate coherent stories that made sense (although it looks like maybe they didn't have very rich themes and development etc). But then, that's the trade-off you get between classical approaches and big machine learning: either you have to roll up those sleeves and use some elbow grease, or you have to label giant reams of data and pay the giant price of compute needed to train on them. In a sense, the claimed advance of deep learning is that domain experts can be replaced by cheaply paid inexpert labellers, plus some very big GPU clusters.
From your link

> Therefore, we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4.

The ironic thing about your link is it tries to say this doesn’t mean to stop development. But testing is part of development so the whole thing is short sighted.

Asking for any kind of pause is flat out dumb.
My graph is a partial representation of the supermarket and does not contain all the goods. It has just the stuff that I've bought at least once and manually positioned into the nodes. Sometimes the supermarket decides to relocate groups of goods and I have to update my graph again, but it does not happen too often (they do it probably once or twice a year)
I hate the weather where I live (Chicagoland), so I spent a week a couple years ago downloading weather data from WUnderground and geo data from a bunch of places and turning it into a reverse weather index - instead of searching by place, you'd search by weather.

I found the best weather for me was in Antofagasta, Chile, but I never did anything with this knowledge :)

Unfortunately it was all built on an OpenShift gear on the free tier, so it's dead now.
Ed Sheeran sang and played his guitar while on the stand at copyright trial
Yeah that's the problem! The ML people and the biology or agriculture people don't talk, they're not in the same building. A biologist might see the ML-person's work only after it's published.
Not quite the same, but I find humans often incorrectly deny having opinions. There's even a trope:

"What do you want to eat for dinner?"

"I have no opinion, anything's fine."

"How about mexican food?"

"No, too spicy."

"How about pizza?"

"That's unhealthy"

and so on
>Why is buying something 10x more powerful than you'd need at 2x the price "good value"?

M1 performance won't be more than you need for long. When the dev community finishes transitioning to M1/2, that will be the performance baseline for lazy websites and electron apps. Intel laptops will have their CPUs pegged to 100% constantly when running more than one tab in Chrome. We're already seeing this at my company. Intel performance regressions are discovered the last minute before release, because everyone is using M1. And the solution is usually just to turn off the offending feature for Intel Macs. It's legacy.
I live in Columbus, and over the next few years I expect a lot of shakeup to occur as a result of the Intel fab(s) being built nearby. It's been interesting to see the turbulence around Intel of late, given what a huge investment we're expecting to see from them in Ohio (not to mention the huge investment the state will be making into Intel, via tax abatements and other incentives).
Wasn't that already solved with 'doas'?
OP here. Thanks for bringing up memory palaces! They're a great example of how important our sense of space is for understanding anything!
Show HN: I built a Time-Series AI engine for faster forecasts
Hi HN,

A friend and I have been dealing for a while with the underperformance of Time-Series Machine Learning models (mostly due to regime changes), and haven't found the right library to complete Adaptive Backtesting before the heat-death of the universe.

We ended up writing a library from scratch, that comes with an order of magnitude speed-up, called Fold.

---
We would love to get some feedback on Fold (https://github.com/dream-faster/fold)!

We’ll be here and happy to answer any questions.
Sorry, I’m comparing a cows body with its heart and skin to keep out pathogens and immune system to protect it and mouth to ingest nutrients, vs a steel bioreactor with steel skin and piped nutrients and a clean room/disinfectant for an immune system.

I’m not talking about cow milk
This is helpful, thank you. I prefer Intel due to personal biases, but I will research AMD.
Arstechnica has bought into the clickbait MO. They used to be a legit source.
When language learners learn vocab, there are two main processes:
1. Use a premade list of the top x words. Pro: they are guaranteed to be common words. Con: Once you make it past 2000 or so, they might not show up depending on what sort of niche things you read/watch/talk about
2. Look up random words as you come across them, and learn those. Pro: These are words you really saw. Con: You don't know how common that word is, maybe this is the only time in your life that you'll see it

I made a web app that lets you note down words that you come across and might want to learn, and then generates a learning order of those words based on a variety of frequency lists, as well as linking offsite for sample sentences etc. It allowed me to pass the JLPT N1 with just 6k known words (people usually need 8-10k)

vocab.c-ehrlich.dev
Do they want to be in the deli job forever? If no, you're probably already helping / encouraging them on their journey to get a better job, and that shouldn't be awkward.

If they do want to be in the deli job forever, then yah, my phrasing is awkward. There aren't too many people who want to work the deli forever, but there are some.
that niche engine looks like many magnitudes simpler problem than building competitive modern search.
Can a better equipped probe reach Voyager 2 within 3 years?
Five Worlds of AI (A Joint Post with Boaz Barak)