skysight-inc/HackerNews huggingface dataset:
If I read the footnotes correctly, they claim things peaked in 2019 because the numbers were lower in 2021 and 2021 (no numbers for 2022 and 2023 in their sources). I'm sure the unprecedented but temporary global pandemic had absolutely nothing to do with that.
Yes. MIT came out and pushed back against all of the anti-standardized testing narrative to show the data. At least for math, those standard scores are incredibly reliable indicators of success.
Google Bard e il Nuovo Modello AI Gemini: Ottimizzazione dell'Interazione Utente

Google ha recentemente migliorato il suo chatbot AI, Google Bard, introducendo il nuovo modello AI Gemini. Questo aggiornamento mira a migliorare l'esperienza utente, fornendo funzionalità avanzate e una maggiore flessibilità.

Il modello AI Gemini offre un'interfaccia più reattiva, supportando input multipli come testo, immagini e voce. Questo consente agli utenti di interagire con il chatbot in modo più intuitivo e comodo, personalizzando l'esperienza secondo le proprie preferenze.

Per iniziare a utilizzare Google Bard con il modello AI Gemini, è necessario accedere al sito web e personalizzare l'esperienza. Una volta effettuato l'accesso, è possibile accedere a varie estensioni che migliorano la funzionalità di Bard, ad esempio per la pianificazione dei viaggi e l'utilizzo di Google Workspace. Le opzioni di personalizzazione sono state ampliate, consentendo agli utenti di selezionare temi e stili di risposta che meglio si adattano alle proprie preferenze.

Il chatbot non solo offre prompt iniziali per facilitare la creazione di query efficaci ma si integra anche con strumenti di ricerca di Google per un'accurata verifica dei fatti e il recupero di informazioni. Il nuovo modello AI Gemini porta miglioramenti significativi alla gestione delle risposte udibili, all'analisi delle immagini e all'integrazione con YouTube e Google Workspace. Queste nuove funzionalità possono notevolmente aumentare la produttività degli utenti.

Inoltre, Google Bard con il modello AI Gemini si distingue da altri chatbot per le sue caratteristiche uniche, come l'offerta di bozze alternative e risposte rapide. La sua capacità di adattarsi a differenti stili di spiegazione, fornire informazioni provenienti da diverse fonti e generare bozze di email lo rendono un'opzione allettante per gli utenti.

L'integrazione del modello AI Gemini in Google Bard rappresenta un significativo passo avanti nella tecnologia dei chatbot AI, promettendo un'esperienza utente più ottimizzata, personalizzata e versatile per una vasta gamma di compiti e flussi di lavoro.
A data analysis engine reducing application cost by N times
A lot of kids parents can’t teach this or don’t know how or if they even need to. Yes give complex topics for those that can. But have a basement level of basic personal finance. Don’t care if not interested because it will be relevant. Make it mandatory.

Learn yourself or parents teach it - great! Test out and go to advanced. For everyone else we require finance literacy.
The attitude of Texas feels very "maximize benefits for myself". That was the justification for most companies that moved there: lower taxes, regulations, low enforcement of workers' rights, etc. This helps in the short term but in the long term degrades quality and is a race to the bottom.
The city has a responsibility to those that exist.
> Everyone should know Bayes' theorem

That is basic probability, not statistics. Basic probability is taught before high school in many parts of the world and is very easy to teach, there is no reason to put a lot of focus on this in high school.

You have the kids write down probability graphs from events, that takes a few lessons. Then you do some basics about confidence intervals and sample sizes. Basically every kid learns this at some point, just that they forget and now they think it is missing. Kids forget about what they learned about statistics since it doesn't seem relevant to them.
We all know that working your ass off is the way to get things done. The problem is, in most companies, no one can tell the difference between hard working people and folks who take it easy. If a project takes 6 months it must have been hard if it takes 6 weeks on the other hand it must have been easy. No one is going to run the experiment twice.
Most things are not hard if you spend the time and effort to learn. I recommend Francois Chollet's book on AI. It has good reviews so it will help you learn the tools, techniques, and concepts in AI and ML.

If you can't afford to buy the book then there are online libraries like Anna's archive which should help you get a copy and then buy the book once you have a job and can afford to spend money on books.
Thank you for doing this!

How is availability of this kind of chip? Did you have to jump through hoops to get your hands on it or was it as simple as placing an order somewhere? And what about the rest of the system?

I take it this was your test system: https://milkv.io/pioneer but in spite of the 'buy now' links it doesn't seem any of them will actually get you a system, it's all pre-order not GA so I'm kind of curious how you got your hands on one. I hate it when 'buy now' doesn't mean 'buy now'.

Edit: Ah, in the acknowledgements: "We
thank PerfXLab for access to the SG2042 used in this work."

More about these systems:

https://www.crowdsupply.com/milk-v/milk-v-pioneer
> While it may be important on the millennial timescales,[5][6] it is no longer considered relevant for the near future climate change: the IPCC Sixth Assessment Report states "It is very unlikely that gas clathrates (mostly methane) in deeper terrestrial permafrost and subsea clathrates will lead to a detectable departure from the emissions trajectory during this century".
Since audio is processed separately this isn't just close to real. it is real.
After all what is video if not a stack of frames! :D
Almost nobody thinks of "earthbound" as suggesting a far-future flight from another world to earth. Instead, the connotations of earthbound are risk aversion, hesitancy to explore and discover, and fear of change. Many people are familiar with the phrase "earthbound misfit" from "Learning to Fly" (a Pink Floyd song). If you're trying to introduce an innovative and exciting product line, "earthbound" isn't it.

"lavabo" sounds too close to "lavatory" - and this has even stronger negative connotations. For Americans, at least, a "lavatory" (and thus perhaps the entire "lav-" word stem that means "wash") is never something that you have in your home. The term "lavatory" would most commonly be used at a school, but may also often be used at any other non-residential building. For Americans, "lavatory" almost always means a room that you visit to eliminate your bodily wastes (it doesn't only mean where you would wash afterward). Because anyone in the building can use the lavatory, it's usually not thought to be fully sanitary.

Potential customers will hate both of these, but "lavabo" is sure to kill U.S. sales.
Washington is not diverse. The state's Asian population does not rank in the top 5 in the nation.
That's beautiful. I'm deeply sorry you had to go through that, from someone raised by a deacon. Hope everything is going OK.
The fact that their next generation cannot afford to live in the same city and end up moving away. Or they decide to sell and do so themselves because all other costs have been higher. Eventually, there are no locals.
First of all: Awesome! Most people do not try to understand the basics and jump right in to specific frameworks. Understanding the basics will help you in the long run to adapt to different things.

One thing Im personally missed out (now 27; started at 12 with web stuff) is writing. Not only writing blog articles or documentation, but writing for the sake of documenting small hacks or bigger concepts. So that would be one tip I personally would loved to get.

About projects:
- either do things like features for small projects (e.g. dark mode for something like altcha.org)
- try to fix some bugs
- or try to recreate small projects based on a framework or vanilla for the sake of learning stuff.

As a tip for learning more things etc. in the web dev space -> Look into accessibility. Its a huge and interesting topic.

Also "that is hard and might be too hard for my skill level." -> Do it. Get started with something "easy", read papers, do tutorials, write stuff about what you learned. You wont learn if you wont try :D

In general -> Keep on learning. Don´t waste time on chasing the next framework and ask. Asking questions can be interpreted as being annoying. But if you try to understand different view points, different tech etc. you will end up talking with people that will bring you forward.
Paying more goes hand and hand with testing teacher (or holding them responsible for students grades), and generally that's not very well received by teacher unions.

The example I always drop is my ap calculus teacher whose students had an average test score of a 4.7, but the ap physics teacher didn't have a single student get a 5. They never shared their average for obvious reasons, but I'd assume it was closer to the national average of 2.3 based on what I heard.

Clearly the school had students capable of putting in the effort, if the teacher was capable of teaching the material.
Also many of us were much younger, even teenagers, with little to no exposure to HR hell.
AI doesn't make writing obsolete, it makes it even more important because human inputs are necessary for all existing systems.
Some of the oldest evidence of earthly life are preserved stromatolites, like the 3.45-billion-year-old fossilized structures found in Marble Bar, in Western Australia.

Marble Bar is an inland town on former shallow seafloor.

There are other locations in Western Australia that still have living stromatolites; Shark Bay, Hamelin Bay, Lake Thetis. etc.
I’ve always felt that the best capstone high school class is neither stats nor calc, but finite math, which ends up being a mix of some linear algebra, combinatorics and probability with a dash of discrete mathematics. This is stuff that has a lot more applicability in business and social science and is under-taught (one example was one that came up when I was getting my MS/teaching credential was my fiancée’s step-father wanted to be able to estimate the length of a roll of sandpaper given the diameter and thickness of the sandpaper. The engineers at the company came up with a correct answer by writing a program to add up the lengths of each layer of sandpaper, I verified their answer with a bit of pencil-and-paper algebra impressing my future in-laws. Someone who had taken a finite math class would¹ be able to do the same.

⸻

1. Although perhaps I’m being optimistic since I’ve neither taken nor taught finite mathematics, I’ve only paged through a textbook I saw in a bookstore once.
Digging into things, I find that it all hinges on the World3 model.

Looking at a Python implementation of the model[1] I found this

dcfsn : float, optional
desired completed family size normal []. The default is 4.

This is clearly an abnormality, in and of itself. When you're living on a farm, or birth control isn't available, or are a member of certain groups, that number is effectively infinite. If you happened to live in the reign of Mao, it was 1.

Now, I assume there are many such nits to pick. I think the biggest limits to growth are the ERoI of fossil fuels, and the treatment of women and support for parenting in societies. Population crash is a real phenomenon in China, and most "developed" nations are somewhere on the curve, despite lifting an incredible portion of the world's population from crushing poverty, birth rates are falling.

Local change is about the only thing you can realistically have any effect on. Just try to pass on any knowledge and wisdom you can to others, especially with regard to repairing existing technology, and ways to work without it. As China goes offline in the next decade, and globalism collapses, we'll have a lot of jerry-rigging to get around the things we used to have in abundance.

[1] https://github.com/cvanwynsberghe/pyworld3/blob/main/pyworld...
While this post is flagged, I doth protest, my HN karma be dammed.

Here is a catalog of HN posts [0] about company moves regarding Texas, which were not flagged, or at least did not remain so. What makes this post different?

[0] https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...

“Tesla will now move its HQ and future programs to Texas/Nevada immediately”
149 points|edward|4 years ago|274 comments

Tesla’s Texas Move Is Latest Sign of California Losing Tech Grip
59 points|Bostonian|2 years ago|84 comments

Tech workers now doubting decision to move from California to Texas
58 points|thunderbong|3 months ago|157 comments

Hewlett-Packard Enterprise to Move Hq from San Jose to Houston Texas
41 points|geogra4|3 years ago|2 comments

Tesla to Move Headquarters to Austin, Texas, Musk Says
16 points|dcgudeman|2 years ago|2 comments

Tesla's move to Texas came after California legislator tweeted 'f-k Elon Musk'
15 points|bryan0|2 years ago|1 comments

Tesla will move California to Texas/Nevada due to local coronavirus response
10 points|heshiebee|4 years ago|3 comments
>Where I grew up, that was called being polite and it didn’t automatically rule out anything other that liberalism.

Where I grew up, that was called being polite and it didn’t automatically rule out anything other that conservatism.

>There’s a ton of room between disagreement and harassment.

There was a time where that may have been true, but we're far away from those times.
TX is really only hot in.... mid-late summer. Even then, everyone just uses A/C and alters their patterns for that time. Just like up north, where it can be quite cold in the mid-winter, and people alter their patterns for 60 days.
A lot of people talk about adult mathematical/statistical illiteracy and how it leads to major problems with cognitive biases, poor decision making, etc. However I haven't seen anything that explicitly ties having had a class in X leading to that person applying X more frequently in their life.

The breakdown as I imagine it is:

1. The top 10-20% of students implement X vaguely into their life

2. The bottom 80-90% merely take the class to pass and forget about X and fail to apply it to their life. They are still prone to cognitive biases because they haven't extrapolated the effectiveness of what they've learned to the real world.

I think generally, at least in America, a general culture of anti-intellectualism prevents people from actively caring about what they learn in school and applying it to the real world. It's not a mere matter of education, it's about making education meaningful to people over the alternative race to the bottom.
For those without a lot of patience, skip ahead to 6:45 or so (in the fist linked video) which is a really cool, "a-ha!" moment of why light "slows down" when it hits light. He also points out that he's really just animating feinman lectures, so giving credit where it's due. Gonna have to go dig out those books. Big thanks to jacobolus for linking these videos
On this day over 200 years ago the first programmer, Ada Lovelace, was born
The worst part about these discussions is that no one actually remembers what they learn in high school unless they build upon it further in college (or it’s something they’re more likely to encounter it in day to day life, such as history, geography, literature, etc).

The real purpose of education, in high school but in general until your junior year of college in the American system at least, is to learn how to learn.

And advanced math involves the most unique and mind challenging ways of learning in a high school education. It involves memory, application, pattern recognition, etc but it’s about the only part of the high school curriculum that encourages abstract logical thinking. Literature does this too, but it doesn’t require it, and it doesn’t require the rigor in abstract thinking that’s needed in advanced math. In an argumentative essay you could hide flawed thinking with wordplay and any ways the logical accuracy of the argument only forms a small part of the grade but with advanced math there is no place to hide flawed logical thinking…there being a single correct answer, and the fact that math is a language that is designed first and foremost to eliminate ambiguity, means it’s hard to get away with sloppy thinking.

Advanced math that isn’t necessarily useful in your college career is absolutely essential to teach high quality thinking.

A statistics course, on the other hand, will almost certainly devolve into the practical and the useful, so much like high school physics will not teach thinking but simply knowing how to apply the right formula at the right time. That’s a useful skill but one that’s taught all over the current curriculum.

To the extent algebra and calculus are not useful outside of STEM degrees or in “real life” is indeed what makes them useful since it allows them to remain essentially the only abstract thinking course high school students will be exposed to.
Thanks, that was helpful context and confirmation.
I also really like GEM (for the PC and Atari ST). It's nice to imagine Gem would have replaced windows in some alternate reality and then imagine where that would have taken us. Probably to a similar place, given the forces on the industry ...

I'm still longing (irrationally) for the simplicity of GEM on the monochrome Atari ST monitor...
Ohhh and before I forget it -> one skill that helped me a lot ->
Hosting my own stuff securely on bare servers without docker for example. It helped to understand security concepts, how much resources a website really needs and what I even need to host a website.

It´s nothing against docker, but keeping a bare web server secure and then introducing databases etc. with self build images is nice.
I remember when, in 1993, my boss bought a $6000 Windows machine at work - to play Doom.

Edit: He had already mentally checked out of this job and was transitioning (already working at) a different company. As a comp-sci computer graphics specialist, he dug Doom at multiple levels. Me - I was not impressed by Doom - probably because I didn't have his background to understand what a feat of engineering it was to get such performance out of a 1992-era CPU.
Programming for GEM seemed so much easier than Windows, too. One or two fairly small books did the trick.
Already had ntfy set up and took the time to setup MollySocket so I can get signal notifications without firebase or a dedicated websocket connection (even if no message data is included). Here's to hoping more apps are brought on board.

I also love ntfy for its general handiness.
Cool! I had my hands on it, too. For some reason it got traction in late USSR.
Is "it's just processing frames" the new "it's just predicting the next token"?
Space station astronauts solve the mystery of a missing tomato
When I think about that period in gaming I just trip out.

We are as far away from that period now as that period was from the birth of video games. Tennis for Two, Space Wars, Pong, Super Mario, DOOM, Quake, Half-Life.

Compare that 20-year evolution to the evolution of gaming in the last 20 years. You can see areas where games have gotten vastly better, not just graphically or cinematically, but with level design, mission design, characterization, contextual integration, procedural elements.

But still nowhere near the explosion of the first 20 years as innovation poured in, and all of the main players were scrappy young companies, ready to innovate in an atmosphere where it still meant something to create entirely novel experiences that challenged the player.

You can also very easily see an industry-wide shift in game design after both GTA and Minecraft, which seemed so far apart at the time but really were about a decade apart. What comes next?
Off the top of my head, several roguelikes (e.g. ADOM, Caves of Qud, ToME) and several entries in the TES series (e.g. Daggerfall, Skyrim) support it.

I also remember at some point playing an RPG where you found an ongoing even fight between two armies and you could join one to make the fight go your way, but I don't remember what it was.
If a particular feature is controlled by a permissions prompt, saying that 'users can't be expected to be fully aware of' the consequences of a particular permission edit has, once again, nothing to do with security as everybody in the world besides yourself understands that term. Criticise their UI team, perhaps, but such a problem has nothing to do with security - indeed the 'feature' might be working exactly as intended, notwithstanding the (in your view) unclear wording obscuring it.

At this point I can only assume that your conflating of security and privacy is pathological, and I very much doubt that we can have a fruitful discussion about this.
As far as I can tell, it’s just eight input variables and provides one output. So maybe a lookup table? Unless it’s simplified using some decision tree of conditionals?

I wonder how this was coded. How would you code it?
Dude if the valley is not diverse then I’m excited to see what diverse looks like! :)
Why not. Twitter is just filled with garbage anyways and Elon is replying to the most garbage, dirty posts filled with racism etc and amplifying them. So Elon's dead baby is a small sacrifice to make for "free speech".
Ironic, more like.

Consider Graphene and the required devices’ security, and the last decade or so of zero-click iOS stuff.
Which taxonomy, though?
Coherent was interesting because it emerged as an interesting answer for getting true multitasking, multi-user performance out of 386 machines that wasn't priced ridiculously high. Coherent's tool chain wasn't as good as SCO's and that meant a lot of work for porting. There wasn't a lot of software ported to it (i.e. databases, etc...) so you were pretty much writing the whole application on Coherent. If you were writing a greenfield application, coherent wasn't bad and was priced really nicely (at the time).

Incidentally, the problem with Unix at the time was the crazy license costs for SCO and Xenix. The lower cost alternatives were weird "multiplexed dos" operating systems like Concurrent DOS and the multiuser version of DR DOS.
https://www.farcaster.xyz/ is an interesting alternative that's not bluesky
I made my own social+news app following this model, but it's nearly impossible to market any kind of social media. Field is too played out. I gave up.

Old Facebook already did it. Twitter could be it if there are no recommended / globally popular accounts and you just repost stuff you like. Both found it more profitable to shove stuff at people and create popularity contests.
Maybe that's a feature. Early Gopher was similar, and people adapted by writing hubs/directories.

Not everyone needs their content to reach record # of visitors.
What is the long-term potential supposed to be? Is Mastodon supposed to replace Twitter, or is it supposed to enhance the lives of people? I'm a member of several small forums that just don't grow. It's the same people each day, and that's fine. It's much closer to how human interactions work in real life. You don't join an ever-expanding pool of people where you strive to maximize your connections (or at least, I don't). Instead, you probably have a relatively small group of people that you hang out with more often.
"Their tuition is expensive" – i.e. their fee structure excludes most American families from even having the university in their child's consideration set – is a valid reason to have them pay taxes, actually.
Yes, you could probably fine-tune (or even zero-shot) a LLM to handle the "knowing when to jump in" use case.

The real problem is that it's simply too computationally expensive to continually feed audio and video into it one of these massive LLMs just in case it might decide to jump in.

I was wondering if you could train a lightweight monitoring model that continually watching the audio/video input and only tried to work out when the full-sized LLM might want to jump in and generate a response.