skysight-inc/HackerNews huggingface dataset:
There seems to be quite the split of opinion on public fruit trees.

I encountered something like this when I planted a row of red currents at the front of our property. My mother-in-law said "You can't plant those there, people will take the fruit" whereas my thinking was "If I plant these here, people can take the fruit"
Need a refresher on how Parties work.

They send representatives to the Convention to vote.

At the convention, anything can be decided. They are NOT the government. They are more like private clubs with their own bylaws.

But, you seem to be getting a little frothy around the mouth. So, maybe try breathing in slowly, breath out slowly, focus on the breath. Examine where the anger is coming from.
Do you imagine we will box up our terrestrial waste heat and launch it into the sun?

The portion people who leave the Earth do not matter, the fate of the portion who remain remains the same.

See "Arithmetic, Population and Energy: Sustainability 101", Al Bartlett

https://www.albartlett.org/presentations/arithmetic_populati...

Full length video: https://www.youtube.com/watch?v=sI1C9DyIi_8
This is wrong.

Non-budget carriers provide are more reliable and they provide food service and arguably better seating and entertainment.

I fly economy on a "premium" carrier all the time, and it's a much better experience but if I crunch the numbers, I fail to see how first class has much to do with the flight going ahead or not.
These devices do have FCC approval. It is why I can't send a garage door opener signal from my Flipper on the 315MHz band, because in the US, that isn't spectrum allocated to my fucking-about. I get a little message when I click send that says so.

All devices can be modified after the fact. Whether a manufacturer makes it easy, in the case of Flipper Zero, or hard, in the case of many other devices, to modify and install custom firmware that breaks FCC approvals, that lets it broadcast in frequencies it was not approved for, and allow the user to attack certain systems, is not really the manufacturers problem, anymore than Apple selling me a laptop I write malicious code on is Apple's fault, or the manufacturer of an IR blaster being responsible for me using it to mess with the TVs at the sports bar, or the Raspberry Pi Foundation for creating a device with a WiFi chipset that can be used to run deauth attacks, or the generic FM transmitter I could hardware hack to interfere with all sorts of stuff, or the RTL-SDR...or the ad infinitum
tl;dr: don't set CPU limits in Kubernetes - especially for multi-threaded applications - unless you strictly require CPU bandwidth control [1].

[1]: https://docs.kernel.org/scheduler/sched-bwc.html
Ah, thank you, skipped over that part.
> in which case why can't a robot have a soul

It's not a question of whether a robot can have a soul, it's a question of how to a) procure a soul and b) bind said soul to a robot both of which seem impossible given or current knowledge
I'd argue that if you get the hang of it, development in Web components won't be slower than in any frameworks.

So I don't understand why VC ecosystem can't get by without frameworks.
> If you love farming more than anything, moving to flyover country and make your living doing that is entirely possible

Do you really believe this?
I think the best argument I have against AGI's inevitability, is the fact it's not required for ML tools to be useful. Very few things are improved with a generalist behind the wheel. "AGI" has sci-fi vibes around it, which I think where most of the fascination is.

"ML getting better" doesn't *have to* mean further anthroaormorphization of computers, especially if say, your AI driven car is not significantly improved by describing how many times the letter s appears in strawberry or being able to write a poem. If a custom model/smaller model does equal or even a little worse on a specific target task, but has MUCH lower running costs and much lower risk of abuse, then that'll be the future.

I can totally see a world where anything in the general category of "AI" becomes more and more boring, up to a point where we forget that they're non-deterministic programs. That's kind of AGI? They aren't all generalists, and the few generalist "AGI-esque" tools people interact with on a day to day basis will most likely be intentionally underpowered for cost reasons. But it's still probably discussed like "the little people in the machine". Which is good enough.
Which implementation were you using? (I.e. which programming language?)
I was hoping that this proposal would be a uniquely unilateral one. If a single state or province in the USA or Canada committed to this plan (and if it worked as well as I optimistically propose, and provided enough nutrients) then they could singlehandedly put away enough carbon to actually solve the problem.
I’d like to drop some cool tech thing, but mostly just working on balancing running our company and being a new dad.
An enlarged salience network may be responsible for depression in some patients[0]. Some individuals are pre-disposed to being depressed and it may be a chronic condition, like any other chronic condition. For others, it could "simply" be a chemical imbalance that taking medication for a set period of time resolves (lucky them).

[0]https://www.nih.gov/news-events/nih-research-matters/mapping...
I'm working on a timed audio description script for the 1994 science-fiction / adventure film “Stargate” for blind and low-vision audiences.

There are a lot of older films that are not audio described, and so every now and again I pick a film and write a script, and another volunteer records and mixes the narration track.

It takes about 2+ hours to describe about 20 minutes, and the film itself is 2 hours.

Sample:

68
00:11:18,219 --> 00:11:33,169
They step through doors marked "Research Laboratory". The wheel shaped cover stone towers over them, mounted upright on the wall. The disc in the centre has a cartouche, a vertical panel of symbols. Jackson stares up at it open mouthed.
At the very least, the last few years have laid bare some of the notions of what it takes, technically, to reconstruct certain chains of dialog, and how those chains are regarded completely differently as evidence for or against any and all intelligence it does or may take to conjure them.
> once that's done its done

"As such, the hippocampus and hippocampal neuroplasticity may also play a key role in resilience and recovery from stress. This is supported by the current finding that hippocampal volume increased following psychological therapy."

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943737/

"we found a significant [hippocampal] volume expansion during a 12-week treatment period, which correlated with clinical improvement"

https://www.biologicalpsychiatryjournal.com/article/S0006-32...

Increased hippocampal volume and gene expression following cognitive behavioral therapy in PTSD

https://www.frontiersin.org/journals/human-neuroscience/arti...
The company paid $14b for the research to bring this drug to market. Like all Americans — and all citizens of the world, apparently — I agree that drug prices in the US are too high, but shouldn't they be allowed to at least recoup that investment?

How can we expect companies like this to continue researching such drugs if not? Especially when, more often than not, the research leads to a dead end or failed trials, and they can't even bring the drug to market?
https://codeberg.org/ideasman42/font-topaz-ng

Re-creating a vectorized version of Amiga's system font.

Since I've always found font's online to be unreasonably opaque, the glyphs are stored in a TOML file, edited in Blender and exported using FontForge.
I've been using go for a month now in a new job and hate it. It feels like they learned nothing from the past 20 years of language development.

Just one huge problem is that they REPEATED Java's million/billion dollar mistake with nulls. The usual way to get HTTP Headers using Go cannot distinguish between an empty header value and no header at all because the method returns "nil" for both these cases. They could've adopted option types but instead we are back to this 90s bullshit of conflating error types with valid values. If you're programming defensively, every single object reference anywhere has to be checked for nil or risk panicking now.. like why, after we literally named this a billion dollar mistake in Java, why would anyone fucking do this again?

We have helper methods in our codebase just do to this:

fn checkThingIsA(ctx) {
thing := ctx.get(thing)
if thing == nil || thing != Thing.A {
return false
}
return true
}

In any sane language this is one line:

ctx.get(thing).map(|x| x == Thing.A).unwrap_or(false)

In Go, we have to make helper methods for the simplest things because the simplest 1-liner becomes 4 lines with the nil/error check after. We have 100 helpers that do some variation of that because everything is so verbose that could would become unreadable without it.

I hate that they made and popularized this backwards dumpster fire of a language when we should know much better by now.
Except this isn't anything special.

Literally anyone can do this with an MCU of some type and a 50 cent device. Bluetooth, RF, NFC, etc. This just makes is a nice little convenient package.

There is victim blaming and there is practicality.

A pacemaker that can't withstand random radio bursts is useless, as the first time you walk down the street you are dead.

So unless you are going to ban any sort of microcontroller, and very well documented and simple circuit designs, this is still not victim blaming.
> I have seen far, far too many people say

It is perplexing. I've jokingly called it "proof of intelligence by (self) incompetence".

I suspect that much of this is related to an overfitting of metrics within our own society. Such as leetcode or standardized exams. They're useful tools but only if you know what they actually measure and don't confuse the fact that they're a proxy.

I also have a hard time convincing people about the duck argument in [0].

Oddly enough, I have far more difficulties having these discussions with computer scientists. It's what I'm doing my PhD in (ABD) but my undergrad was physics. After teaching a bit I think in part it is because in the hard sciences these differences get drilled into you when you do labs. Not always, but much more often. I see less of this type of conversation in CS and data science programs, where there is often a belief that there is a well defined and precise answer (always seemed odd to me since there's many ways you can write the same algorithm).
Which pacemakers rely on ISM band communications to work?

Not doubting you (M in ISM stands for Medical, after all), just curious how it works to get from messing around on 2.4GHz to someone's ticker stopping.

Given how much of a soup ISM is already I don't know if I'd want someone's ancient cordless phone, stupid "hacker" toy, or my microwave stopping my heart.
Probably by not modeling it as a discrete computational problem? Either way: the logic of the paper is not the logic of the summary of the press release you provided.
If that's the case, would you say we're not generally intelligent as future humans tend to be more intelligent?

That's just a timescale issue, if its learned experience of gpt4 is being fed into the model on training gpt5, then gptx (i.e. including all of them) can be said to be a general intelligence. Alien life one may say.
> PS: They also swapped WP's Stripe ID for the WooCommerce plugin for their own.

I assume you can supply actual proof for this, right? Let's see if you have better luck than the last guy who went looking, because he came up with bupkis.
It's important to note here that he is talking not about OOP concepts at a base level, but rather he is talking about designing OOP programming languages.

So we are seeing discussion about how to program a programming language. I

"When it comes to "messaging," it usually just boils down to method dispatch or large switch statements. It doesn’t seem like some magical concept we haven't figured out yet; it’s more like something we already know"

This feels like the Seinfeld effect, it sounds obvious in hindsight yes, but it's precisely because he was the pioneer, things like Java, microservices, json, APIs, have evolved from Kay's ideas.
For inference, I agree. For training - the much larger use of electricity - I think solar might be great.
I'm learning to deweed our lawn space. Its strange feel to have visual proof of what happens when you neglect your responsibilities even for a short time.
Growing mushroom houses on the moon? NASA's fungus-filled plan
I’ve thought for years that there had been dearth of open source cameras. It’s nice to see them picking up steam, with a few recent posts of them.
Peter Watts in Blindsight [1] puts forth a strong argument that self-aware cognition as we understand it is not necessarily required for what we ascribe to "intelligent" behavior. Thomas Metzinger contributed a lot to Watt's musings in Blindsight.

Even today, large proportions of unsophisticated and uninformed members of our planet's human population (like various aboriginal tribal members still living a pre-technological lifestyle) when confronted with ChatGPT's Advanced Voice Option will likely readily say it passes the Turing Test. With the range of embedded data, they may well say ChatGPT is "more intelligent" than they are. However, a modern era person armed with ChapGPT on a robust device with unlimited power but nothing else likely will perish in short order trying to live off the land of those same aborigines, who possess far more intelligence for their contextual landscape.

If Metzinger and Watts are correct in their observations, then even if LLM's do not lead directly or indirectly to AGI, we can still get ferociously useful "intelligent" behaviors out of them, and be glad of it, even if it cannot (yet?) materially help us survive if we're dropped in the middle of the Amazon.

Personally in my loosely-held opinion, the authors' assertion that "the ability to observe, learn and gain new insight, is incredibly hard to replicate through AI on the scale that it occurs in the human brain" relies upon the foundational assumption that the process of "observe, learn and gain new insight" is based upon some mechanism other than the kind of encoding of data LLM's use, and I'm not familiar with any extant cognitive science research literature that conclusively shows that (citations welcome). For all we know, what we have with LLM's today is a necessary but not sufficient component supplying the "raw data" to a future system that produces the same kinds of insight, where variant timescales, emotions, experiences and so on bend the pure statistical token generation today. I'm baffled by the absolutism.

[1] https://rifters.com/real/Blindsight.htm#Notes
Even closer to the OP, there was a branch of AI in the 1990s known as genetic programming that literally applied the concept of natural selection to solving certain types of problems:

https://mitpress.mit.edu/9780262527910/genetic-programming/
I'd much rather be poor in California than poor in mississippi
Not in the public forum. The very last thing our service needs, is thousands of curious geeks, signing up throwaways.

If you really want, you can figure it out, from my GH page, or send me a message.
> I know the article says "analytics workloads," but I wonder if this pattern could be used for ex. bursty-write workloads.

The key point is that Delta Lake and Iceberg concurrency control is so coarse-grained. As I mentioned in the article, they did this because it seemed they wanted to avoid an external highly-available metadata store (e.g. FoundationDB which is what Snowflake uses).

Just about every Database as a Service (OLTP or OLAP) these days supports storage tiering to cloud blob storage. Delta Lake and Iceberg just took cloud blob storage to the extreme by trying to do everything in it (or as much as possible, Iceberg seems to require a Compare-and-Swap operation which I'm not sure is possible to express with atomic PutIfAbsent alone; seems to require an external HA metadata store for their one current metadata pointer). And in doing this they gave up fine-grained concurrency control.
Training folks from around the world to use pandas for data analysis and ML. Training folks on who to apply ML to their data.

A course on using modern Python constructs and tooling. (uv, coding with AI, pytest, type annotations, etc).

A book on interviewing for Python coding jobs.

Planning next book on either catboost or duckdb.

Ideas that I'm thinking about: how AI helps established programmers and new programmers.
The go runtime isn't really dynamic in that regard.
https://exfilcloud.com was me playing with E2E encryption without authentication.
I'm working on a project to help people find the best place for them to live or move to (USA right now). You can filter based on 50+ metrics, compare side by side, and just look up random facts about all US counties and states currently.

https://exoroad.com/
There was a sharp decline in job listings over all recently that could explain that too.
It would make more sense to start a fund.
I guess your point is that as energy gets cheaper demand will increase therefore negating the savings. Well, that has not been the case when it comes to power. Look at the cost over the last 200 years and you'll see that the cost has dropped over that time. Energy cost is a fraction of what it was then but demand has exploded. There's no reason to think that things will be different in the future.
The different between a descriptor and a name is that there is one name, but infinite descriptors.
...+ Nextcloud + Joplin + Jellyfin + ntfy + Lychee + ....

I'm hooked on this stuff; the amount of high quality free software available now it's just incredible!
Open Source Company as Costco
Granted: If you live in America, depending on your situation, you may need wealth or a good job to have access to decent healthcare.

But, "They will never have a family... hobbies, or respect from their community." This is completely out of touch. Plenty of Americans in flyover country accomplish all of these on an average salary. Source: They're my neighbors.
As a little bit of perspective, I thought along the same lines when I saw the first web browser. Text was good, but why did they have all these inline images. It was so wasteful of bandwidth.

(also, unix uses files for everything, including /proc talking to drivers!)
> He vetoed it in part because the threshold it applies to at all are well-beyond any current models, and he wants something that will impose greater restrictions on more and much smaller/lower-training-compute models that this would have left alone entirely.

Well, we'll see what passes again and when. By then there'll be more kittens out of the bag too.

> Anthropic was a major advocate for it.

I don't know about being a major advocate, the last I read was "cautious support" [1]. Perhaps Anthropic sees Llama as a bigger competitor of theirs than I do, but it could also just be PR.

[1] https://thejournal.com/articles/2024/08/26/anthropic-offers-...
Perhaps the problem could be different. Wouldn't the energy gathered from renewable sources otherwise be used by nature? At which point will the amount we capture be large enough to impact sognificantly the ecosystem?
That's probably the signal. But as one of the parent posters said, the # of folks who use such budgeting apps is quite small. For advertising, small samples are useless, so this data has to be modeled to the full US population.

For that, this very biased training set. And almost always the independent variables used for modeling are 7-10 standard demographics.
No, because everyone now has high quality free C / C++ / Rust / Swift / Mojo compilers.

Interpreted BASIC was the only thing most end users had on those computers, for quite a few years, until Turbo Pascal and Think Pascal/C changed everything.

Professional software was written in assembly language but at the start of the revolution most of the programs that people wrote themselves, or that you saw printed in magazines to type in yourself, were in BASIC.

It was fast enough for many tasks.
Passion is too generic of a word and that gets confusing when it comes to advice like this. It could be someone is passionate about the activity itself, passionate about the idea of being successful, obsessed intellectually with a question, passionate about wanting to prove something…
The world runs on microservices, government, agencies, companies, departments, bodies, organs, cells.

Sure, reality has problems, and no it won't be solved by trying to understand everything as functions. Welcome to the world
Health insurance companies using it to approve/deny claims. The large ones are processing millions of claims a day.
The anti-compute pro-climate argument is so tiresome and it ignores that compute requirements decay non-linearly over time.

Additionally, as an artist myself I don't really much care what "the majority" of artists I think, I didn't become an artist to follow trends and outsource my own critical thinking. As a software engineer, I have a level of understanding behind these models that far surpasses the average artist. As a technological visionary, I understand where the technology will lead, as well as its inevitability. The cat's out of the bag. So I don't very much value the average uninformed opinion.

> Aside from that we need to consider the more philosophical question of whether we want to make creative dream jobs even more impossible to find

Technological progress always leads to the destruction and creation of jobs. People similarly bashed the loom, the printing press, calculators, computers, the internet, cars, planes, you name it. There's no benefit in being a Luddite. Intelligent and aware engineers and artists are incorporating these tools into their workflows today, or at least staying informed, so that they find themselves still employed in whatever future is ahead of us.
The short post is a press release. Here is the full paper: https://link.springer.com/article/10.1007/s42113-024-00217-5

Note: the paper grants computationalism and even tractability of cognition, and shows that nevertheless there cannot exist any tractable method for producing AGI by training on human data.
I do not think Kaczynski offered a terrible amount beyond what Jacques Ellul wrote. He does have a fascinating story, and he contributed through his manifesto, at least, the idea of oversocialization which has been expanded on by the likes of Byung-Chul Han (indirect as it might be). The other point I can think of would be the introduction of whataboutists to right wing movements and the detriment it has, but I think that thought will occur in places with heavy-handed bureaucracies. I don’t think I had seen the statement expressed so bluntly though.

I found the manifesto interesting, but it wasn’t compelling beyond the few strokes of wisdom. In academia, you see exactly what he is talking about, especially nowadays.
> Energy will get so inexpensive in a few years (10?) from now that power consumption by AI will not be a problem.

By what mechanism? Wishful thinking?