skysight-inc/HackerNews huggingface dataset:
Shifting cultural norms is a really hard and takes a long time. Lifestyles and happiness are a reflection of culture in combination with environment. We've managed to shift cultural norms in a direction where it's fashionable to dwell on and complain about your current situation.

I think there is a balance to be struck between wishing to make forward progress and obsessing about how far behind you are as compared to someone else. Learning to live within your means while charting a course to a better life is not a core cultural value anymore. This results in more people complaining about their situation and asking their environment to change in some way to make it better.
how is 1500 H100's considered "one of the worlds most powerful AI supercomputers" ? i dont get how that adds up. meta got 150.000 H100's delivered in 2023 alone?
The community took matters into their own hands: https://northstar.tf
This is all in the context of a incident and the role of a IC.

The author nails all the issues here. Dead silence with no shared screen is not good for a incident (without any other context).

You either communicate constantly on what is happening or say "I need 10 minutes to debug" In which case 10 minutes is given but they must come back with an update at that time.

an IC absolutely cannot just let someone go off and trust they are debugging the issue.
When properly done by a doctor. 10 years ago people were talking about doing this at home which is very different.
Let's rewrite that to work in some real world requirements.

That's 90B of value which could have gone to employees had the capital needs of those growing businesses been met by debt (often requiring coincident equity injections or personal guarantees), by bootstrapping, or by those same employees.

Perhaps now there's space for a conversation. What might a world need to look like for it to be made up of those businesses in place of one where ownership can be traded for capital at risk?
>> Is it possible that rust also uses MLIR as backend and thus benefits from a modern backend?

Compiler backends require corresponding compiler frontends to do lexical analysis and parsing of the programming language into the intermediate representation (IR) that the backend accepts. The Rust compiler frontend currently lexes and compiles Rust source code into LLVM IR.

It is possible to create a Rust frontend that lexes and compiles into other intermediate representations and there are several related projects:

1) gccrs (https://github.com/Rust-GCC/gccrs) is creating a GCC frontend for Rust that can be used with the GCC backend.

2) Cranelift (https://cranelift.dev/) is creating an alternate LLVM IR-based backend for Rust written in Rust since the current LLVM backend is written in C++.

3) rustc_codegen_gcc (https://github.com/rust-lang/rustc_codegen_gcc) is creating a bridge between the Rust compiler LLVM IR frontend and the GCC backend.

So, while it is possible to create a Rust frontend to lex and parse Rust source code into MLIR I am not aware that anyone is working on it.
But it's still an extra overhead that you need to first understand, instead of just writing a JS file with your code and then loading it.
How intriguing!

I wonder what would happen if we tried a system that didn’t allow private ownership of companies?

Oh we have, you say? Many times? Famines, poor economies, mass genocide, dictators? Well, surely none of those experiments were _real_ communism. We better try it another dozen times just to be sure.
Eh. Tech people are usually financially self-sufficient enough to bounce back, but I've definitely heard of people being laid off very shortly after a difficult and expensive relocation. And it always incurs further costs on the individual to get back into the job market. It can be extremely stressful. That misery is real and should be weighed on the other side of the scale of these decisions.
> Why do we need cars? Horses work fine already
>
> Why do we need smartphones? Blackberry works fine already

...but there's a difference. Op isn't saying "why AI?"

- why do we need supercars, cars are just fine?
- why do we need megaphones, phones are just fine?
Why the creator of Node.js created a new JavaScript runtime
True. People often think Logo is just turtle graphics, but it really is a complete programming language that is, despite the syntax, actually related to Lisp. Brian Harvey even wrote a series of intro CS texts using Logo that didn't use turtle graphics at all. Brian's home page has the full text of them. https://people.eecs.berkeley.edu/~bh/

(that being said, I get that full Logo would not be possible in 508 bytes)
Yes - unfortunately we have a lot of leftover usages of asbestos.

Historically, it was used a lot. My father even remembers playing around in the bush as a kid, and using asbestos for chalk a bunch of time to mark stuff on trees. My friends dad also remembers coming home covered in asbestos after work a bunch of times too.

I'm not sure I agree with your assessment about seeing asbestos in nice neighbourhoods. It depends how you define nice.

Asbestos was banned in 2003,but hasn't been used in housing since the 80s, so it's only going to be in older developments that you'll really encounter it.

Your wording regarding "plenty of Aussies" is also unclear to me. The numbers as a percentage are going to be very low, but it undoubtedly is a thing.
Interesting but I think there's one comparison missing. When I use GPT-4 with function calling with a real system, in a single call it usually returns 5-6 responses - the first one with Content that has the plan / reasoning, followed by multiple function calls (parallel function calling).
>I ended up announcing the status of the database every few minutes, even if nothing really changed.

Yes exactly, in a incident if there is some long task that is running that will clear the incident, this is important.

It's essentially a progress bar.
I stopped using OpenAI a while ago because they never seemed good at running production.

Good at research, not so much for resilience & reliability
Google introduces new security requirements for bulk email senders
Must Have:

- Strong understanding of GraphQL and related technologies.

- Previous experience in a developer relations, advocacy, or evangelism role.

- Proven ability to present technical concepts in a clear and engaging manner.

- Active participation in relevant tech communities.

Nice to Have:

- Experience with Rust or other modern programming languages.

- Familiarity with web proxies, networking, and related technologies.

- Established online presence (e.g., on GitHub, Twitter,
blogs).

- Contributor to Tailcall - https://github.com/tailcallhq/tailcall

Additional Requirements:

- Passionate about connecting with developers and understanding their needs.

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Share your linkedin/twitter profile here and we will connect with you.
Related to this, I had been dreaming up an idea for a start-up for a while that uses computer imaging techniques to do non-invasive in-ovo sexing of bird eggs for the poultry industry. It seems criminal that we gas or drop into a macerator over half of the chickens hatched. It's just so cruel and seems like it could be done at an embryonic stage where they don't yet have the capacity for pain or sentience.

Turns out that since the last time I started doing some initial testing with my university MRI machine, someone has already run with the idea in Germany and it looks like they have a viable product that customers are already using: https://orbem.ai/solutions-poultry-egg-scanning-classificati...

This is awesome, exciting, and I hope it becomes the norm for the industry.
But how do you know that without any other information?

In a high stakes incident you cannot let radio silence go off without clear communication on status updates... this was called out in the bottom.
> 265% debt to gdp is absolute bananas. They still havent balanced their budget.

The question is: do they really have to? Balancing budgets is a point of economic orthodoxy in some circles, but Japan in many ways is the proof that keynesism can be sustained for generations. In the end, most of that debt is held by the Japanese themselves; as long as the country continues to effectively believe in its own future, that debt will not be a problem.

> 56% income tax rate is crazy

Why? If it works, it works. It worked in Europe and the US too, before Reagan and Thatcher brainwashed us.

> Then they have to deal with major population decline and aging population

That is indeed an issue, but again - it's largely an issue for countries that have already spent their social-security money. Is Japan one of them? I honestly don't know.
I am chewing my tabacoo. Maybe I misunderstood the article ...
Other companies are no stranger to this phenomenon either. Warcraft Classic is Blizzard's, and arguably the MMO genre's most innovative game right now, and its 20 years old.
When did the stealing happen? There was mutual agreed exchange between parties over and over again.
The incident commander isn't necessarily a manager. Indeed, where I work it would be uncommon for a manager to take incident command and unlikely that anyone above the first level of management would join the incident call.
To me, the guidelines are fairly clear: if it’s assisting production of a work of fiction, it’s ok.
Haha, it’s a standalone, I was too lazy to attach links, but for the next person stumbling over this:

iOS: https://apps.apple.com/se/app/microsoft-copilot/id6472538445...
Android: https://play.google.com/store/apps/details?id=com.microsoft....
One model? So there may be models where it doesn't happen. Or perhaps that very same model makes other, verifiably wrong predictions.
Indeed - you have to have a sense of the "scam base rate". How likely is it that an opportunity is bad simply because someone is trying to sell it to you?
Sound waves have an impact. Too loud and it can permanently damage your hearing. What level of audio volume is safe?

Water has an impact on your body. Drink too much and it can harm you. What amount of water is safe?

etc., etc.

The technology enables us to learn and prevent so many problems, that to write it off just because at extreme levels it can be harmful is foolish.

And it's fearmongering to make that claim without evidence. See the summary here:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262273/

> The first mention that ultrasound could be used to produce images of the foetal head was probably in a lecture given by Ian Donald in 1959. Since that time, the use of ultrasound in obstetrics has grown rapidly, and has a generally accepted excellent safety record. However, it is impossible to prove zero risk, and the absence of evidence of harm should not be taken as evidence of absence of harm. The epidemiological evidence that exists is reassuring as to the safety of routine ultrasound scanning, but of necessity it only includes subjects who were imaged with devices that were state of the art at the time (mostly early 1980s). No pulsed Doppler or colour flow examinations are included, and the output from modern ultrasound scanners is considerably higher today than it was at that time. It is, therefore, essential to remain vigilant, and to assess new technologies and applications from a safety aspect as they arise.

So TL;DR: Ultrasound is safe, the benefits outweigh the risks by a large margin, and we should always insist that Ultrasound, and any modern medical technology is held to rigorous scientific testing standards.
I think it could simply be that CEOs and business leaders in general are often just uncreative, and constantly looking at their peers in other companies and things like Harvard Business review for clues and hints about what to do next. They read somewhere that we are in “bad market conditions” and their Wharton buddies at other companies also say they heard about these “market conditions” and there we go: that’s their justification to take action. What action do they take? They call their Wharton buddies back and ask them what they are doing. Oh, you’re laying off and canceling projects? Then that’s what we will do too.

Same thing happens when the meme is “good market conditions.” What are all my Stanford CEO buddies doing? They’re hiring?? Then, we must hire, too!
An Affordable, TinyML-Enhanced IoT Device Revolutionizing Cycling Power Metrics
It's a problem they planned for.
ShogAI
I don't think it is thanks to wasteful software development.
The libraries used for LLMs do a lot to squeeze out the full potential of GPUs.

I think it is more of an information problem. How can we store enough information in weights so that it is possible to train models without a budget similar to OpenAI
Which president?

Sorry. I tend to agree with this sentiment. But it is so hard to tell what people really believe these days.

Maybe you'd be surprised, maybe not, but a large number of people expressing this exact view, will also say that the only one that can save us is Trump, he is the only one that can break this cycle. Then they will still just vote for Republicans and consent to be lead along and fall in line with the same things you are pointing out. Lambs to the slaughter in their loyalty.

What to do? Third parties never take off.
Capitalists call it “dilution”

Go find a startup right now that is on the Series A-F pathway

Each new investment incurs ownership dilution. Based on what? Did the employees vote for this? Never

PE broadly and dictatorially controls the flow of capital as a class - they also mostly collude for deals - so early employees have zero say about these dilution actions

If the only solution is to not play (eg “well then go somewhere else/start your own”) then the structure is fundamentally flawed and needs to go away
You mean these as absurd rhetorical questions, but at least half of them are actually on the spot.
> I’ve overheard enough conversations between high net worth individuals to say there’s absolutely unique qualities about land as an asset class or they wouldn’t hold so much of it.

Every asset class has its own uniquely defining characteristics in financial terms. There are unique qualities of stocks, of bonds, of index funds, etc. But I don't see any fundamental difference between land and any other scarce resources in real economic terms, and definitely nothing sufficient to treat land differently as a fundamental philosophical principle!

> Immobility: Land doesn’t move, making it a stable tax base.

Lots of things don't move in any meaningful way with respect to taxing jurisdictions.

> Scarcity: No more land is being created, so taxing it efficiently is crucial.

I disagree that no more land is being created in an economic sense. As I mentioned above, developments that increase efficiency of particular use cases for land are economically equivalent to the supply of land expanding.

And there are even some cases where new land is even being created in a literal physical sense -- see the Netherlands, for example.

> Non-distortionary: Taxing unimproved land doesn’t distort transactions.

It certainly does distort transactions for unimproved land. And what is "unimproved land" in the first place? Whose definitions apply, and how do we handle edge cases. If I purchase a plot of land for the specific purpose of maintaining it in its natural state as a preserve, is it improved or unimproved?

> Local Funding: LVT may be an effective way to fund local government since land cannot be moved to avoid taxes

But there are lots of other ways of avoiding taxes. Still, this purely pragmatic point -- which correctly understands taxation as a means to fund the necessary operations of government, and not a tool to manipulate behavior or as an end in itself -- explains why a large portion of local government funding already comes from property taxes.

I'm not sure what trying to take what already works and reconstitute it according to Georgist principles (which are logically weak and entail a lot of dangerous implications) brings to the table.

> So yeah. Tax the damn land already. Especially to fund local government and services, which you kinda need to have a functioning society.

Property is already widely taxed, local governments are already funded, and society is already functioning, car washes and all.
"If I had 16 apples in my possession 54 hours ago , and 26 hours ago I exchanged 9 apples for 17 oranges , how many apples would remain in my possession today?

The correct answer: 7 x APPLES

(( I'm not positive , but when I used this to test whether certain mobile apps were truly using ChatGPT 4 , I would be able to tell if they were lying or not when asking them this question to see whether or not it could successfully provide a correct answer to this question , or not ))

....

(( Typically , ChatGPT-3 would fail to answer this question correctly. I would know it was not using ChatGPT-4 if it was an incorrect answer.. and since ChatGPT-4 would always provide the correct answer to the question , I was always able to use this exact question whenever needing to test the ability levels of the LLM I am using ... ChatGPT-4 has a much higher level of success with its increased performance abilities when compared to older models.. and when asking it to complete the more complex tasks & problems, it has a processing success rate that is much higher and much more advanced and powerful, leading to more chance of success than when asking the same question to earlier models of the same LLM / earlier models of ChatGPT ))

... This type of a deeper complex logic-based questioning can be used to identify and/or judge the overall performance and quality of the LLM when trying to find a higher level of performance from a LLM and when trying to differentiate between older and newer (less advanced and more advanced) models .. or before deciding which one you should use.

... You can mix it around and rearrange or reword the question to use different types of formats , if trying to increase the difficulty level for more advanced model comparisons. Try to make the question into a deeper more logical reasoning test , and just keep trying to complicate the problem progressively higher until you get to a point where the comparison between different models ; eventually one of them should respond incorrectly to the problem , and one should respond correctly.

This is relatively simple and commonly used technique.. I'm not sure if it will help , but I hope it can help somebody in this area , at least a little bit ...

Cheers

If you like, add me!
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An OpenAI mystery: YouTube videos, Google throttling, and AI training data
If you aren’t caching LLM functions during development, then you’re an even greater glutton for punishment than the normal engineer.

My local file cache Python decorator also allows the decorator to define the hash manually, either by the decorator’s parameter function call that plucks a value from the cached function params, or by calling a global function from anywhere with any arbitrary value.

What’s cool about caching results locally to files during development is the ease of invalidating caches — just delete the file named after the function and key you want.
I suppose it depends on what you mean by "AI", and, IMO, would be very much dependent on the hardware/architecture of the thing.

Is a long-running LLM all that different from your own neural-net? (Should we develop AI capable of training itself, granting it agency--or, leave well enough alone and emphasize training/building models which behave more like "smart glass"?) Humans and telescopes both have lenses... but, a telescope, ostensibly, cannot witness itself.
Why is Classic more innovative than Retail?
But only fax, and it's basically a software version of what I suggested above. It isn't actually a modem of any kind, it's basically the equivalent of sending a fax via sip messages. The closest we have is iaxmodem which does actually work for low baud faxes, but it's no DSP emulation for higher speeds, even if the line was good enough.
How it fares with several millions of cached objects?
> $900M, which is probably still top 5,000 overall

I was interested in this as well. For what it is worth, Wikipedia has a page aggregating a few "billionaires per country" lists. These have roughly 2600-3000 billionaires worldwide, so top 5,000 seems like a good estimate.

https://en.wikipedia.org/wiki/List_of_countries_by_number_of...
I thought they pretty clearly explained where the additional performance came from. If there is only 1 valid schema confirming option you can skip the LLM entirely. If there are only a limited number of possible tokens (eg. only } or ,) then you run it on smaller subset of the model. Between these two you capture a large amount of the actual token count of most json.
Multimodal Neural Databases
This, specially the nlp part, strikes me as a primitive version of the RAG-LLM pair
“It will cease being our society” is the most likely outcome. Current politics demonstrates we have lost the ability to collaborate for our common good. So the processes accelerating AI capabilities will be largely unchecked until it’s too late and the AIs will optimize whatever inscrutable function they have evolved to prioritize.
They're not contradictory - markets are both short term and long term inefficient. Or at least they had been up to this point.

Note though that in both cases there's a rather convincing story that explains where the edge is coming from. In Buffett's case it's treating securities for what they literally are, in Renaissance it's having a whole lot of detected small inefficiencies and a model that can merge them intelligently, including estimates on how far each inefficiency can be exploited before your own actions price it out of the market.

There are even widely known edges that cannot be exploited, for example buying and holding real estate in a major city for the next 200 years is a guaranteed trade. But nobody who starts this trade will be able to live to complete it. Insurance is another one, one of the Bernoullis wrote a paper about it a long time ago. Given a sufficient wealth inequality / lack of competition one can exploit it forever.
When computers are slow, the primary way out is finding out WHY they are slow.

Finding this out requires... meaningful performance analysis. That's right, this 1% perf hit will make it extremely easy to find the reasons for 5,10,20,50% slowdowns, and enable developers (and you!) to fix them.

By making it easier to profile software, YOU can notice performance issues in the software you're running and deliver a nice patch that will improve performance by more than was lost, making this 1% slowdown a very effective, high-interest investment.
I am surprised no one introduced yet a CPU and phone which has little if any GPU and called it a business phone. The obvious advantages include security, cost, power consumption.
Vegemite or bust.

I once uncovered a ten year old jar of Vegemite (90’s era). It was absolutely amazing. I’m not sure if it matured over time, or if they changed the recipe.
( https://www.theguardian.com/technology/2008/feb/21/computing... )
I have something similar run privately, consider adding URL redirection upon captcha verification, as an extra feature
It’s usually a requirement that, in an emergency, you can disconnect the electric opener and open it by hand. Certainly if there’s no second door to the garage, this seems essential or you’d be trapped if power or anything in the opener fails. Springs make this possible.
One of the most overhyped game I've ever played. Incredibly boring and uninspired. It’s the 100th run and gun CoD clone of the 2010s there is nothing special about it apart from meching up… but that’s all? I mean there are better mech fighters out there (Armored Core for example)
My issue is with their “we will pay you according to where you live” policy which I find an unacceptable overreach. Pay me for the value I deliver to the business, not “this is the standard of living we believe you should enjoy”