skysight-inc/HackerNews huggingface dataset:
The idea of incorporating actual hold data and "recognizing" specific holds is interesting, but I'm not sure it completely solves the problem.

The "Boss" from Pusher is arguably the most famous climbing hold ever made. For a decade or more, every gym had one, but they were all unique. Lots of them had micro chips that became critical to usage of the hold. Some had decent texture and some were glassy smooth from years and years and years of use. A lot of the accidental variation in new holds has gone away as the industry has standardized around a handful of industrial fabricators like Aragon, but even over the course of a single indoor boulder problem's life, the accumulation of chalk, sweat, and shoe rubber can have a significant impact on how a hold climbs.

I guess the real question is, do these changes just make routes harder or do they make them fundamentally different? Do they actually change the set of moves that constitutes the easiest way to the top? To be honest, I'm not entirely sure. But it's something interesting to think about.
> What happens when...

I can only assume that existing methods would still be used for verification. At least we understand the logic used behind these methods. The ML models might become more accurate on average but they could still throw out results that are way off occasionally, so their error rate would have to become equal to the existing methods.
DuckDB?

https://duckdb.org/2024/03/29/external-aggregation.html

https://duckdb.org/2021/06/25/querying-parquet.html

If your DB is mysql or postgres, then you could read a stream from parquet, transform inline and write out to your DB

https://duckdb.org/2024/01/26/multi-database-support-in-duck...

And an unrelated, but interesting read about the parquet bomb

https://duckdb.org/2024/03/26/42-parquet-a-zip-bomb-for-the-...
> in fact you need to work quite hard to allocate a structure with a pointer that isn't at least 4 byte aligned (i386), or 8 byte aligned (x64).

Well, no, actually; it's:

p = malloc(size+1)+1;

It's just quite implausible that you'd do that by accident.
The frontier in model space is kind of fluid. It's all about solving differential equations.

In theoretical physics, you know the equations, you solve equations analytically, but you can only do that when the model is simple.

In numerical physics, you know the equations, you discretize the problem on a grid, and you solve the constraint defined by the equations with various numerical integration schemes like RK4, but you can only do that when the model is small and you know the equations, and you find a single solution.

Then you want the result faster, so you use mesh-free methods and adaptive grids. It works on bigger models but you have to know the equations, finding a single solution to the differential equations.

Then you compress this adaptive grid with a neural network, while still knowing the governing equations, and you have things like Physics Informed Neural Networks ( https://arxiv.org/pdf/1711.10561 and following papers) where you can bound the approximation error. This method allows solve all solutions to the differential equations simultaneously, sharing the computations.

Then when knowing explicitly your governing equations is too complex, so you assume that there are some governing stochastic equations implicitly, which you learn the end-result of the dynamic with a diffusion model, that's what this alpha-fold is doing.

ML is kind of a memoization technique, analog to hashlife in the game of life, that allows you reuse your past computational efforts. You are free to choose on this ladder which memory-compute trade-off you want to use to model the world.
We're also supposed to pretend that Russia was behind the NordStream sabotage.
No, science doesn't work that way. You can just calculate your way to scientific discoveries, you got to test them in the real world. Learning, both in humans and AI, is based on the signals provided by the environment. There are plenty of things not written anywhere, so the models can't simply train on human text to discover new things. They learn directly from the environment to do that, like AlphaZero did when it beat humans at Go.
We'll highlight the current open threads in the tree.
Damn. Glad I got to see Shellac at Primavera a few years ago. What a career. RIP.
> More energy density in capacitors is a big thing, as capacitors are easily the biggest parts you will have to use on your PCB

I don't think it's that simple, energy density and power density seem to be roughly inversely related across technologies. i.e the more energy you can pack per unit mass the slower it is to get it in and out. A substantially lower power density could actually make the equivalent component larger or heavier for many purposes.

Super capacitors already exist that bridge the gap between electrolytic capacitors and chemical batteries. If you compare the specific energy with the specific power of each the ratio drastically changes from left to right in this table with old electrolytics beating everything when it comes to power:

https://en.wikipedia.org/wiki/Supercapacitor#Comparison_with...

On the other hand this comparison is per unit mass, and these technologies differ vastly in volume density, so a comparison per unit volume would reduce the differences in power density. I'm pretty sure the order for power density will be the same though.
> the average person would consider a valid replacement

But what is that, exactly? If you look at all aspects of a laptop: CPU, RAM, SSD, battery life, screen quality, build quality, touchpad, OS, and put them in order of importance for the average consumer, what would be on top? I don't think it's the tech specs.

For instance, I would be willing to bet that for a large number of consumers, battery life is far more important than the tech specs, which means that a valid replacement for their MacBook must have equivalent battery life. You also have to consider things like the expected lifespan of the laptop and its resale value to properly compare their costs. It's not simple.
Wow, that's amazing and a bit funny - so heartwarming to me that it's a success!
> I generally look at a given benchmark there

Which? Just curious.

Some-of the spectral-norm programs seem quite similar:

https://benchmarksgame-team.pages.debian.net/benchmarksgame/...
Perhaps a better example would be tobacco or alcohol. Also bad for adults, but we've at least agreed we should try to mitigate the harm that comes with early-development addiction.
I can't tell if the signature on that post is a parody or not:

> Jay Nagendran, P.Eng., FCAE, ICD.D, FEC, FGC (Hon.)
Some observations:

1) If we view N gram counts as observation counts, we can generalize Norman Megill's estimation of Bernouilli probabilities to manysided dice (as many sides as token alphabet):

(O+1)/(T+S) where O is the number of Occurences, T is the number of Trials and S is the Size of the alphabet or number of Sides.

Having 0 observations does not result in probability of 0.

2) Since the method allows for collecting occurences in the corpus, this could be used to provide alternative language models contexts in the corpus.
The University of Washington is an absurdly competitive school to get into for certain majors, so it is very reasonable to expect that even highly performing students might have to go to an out of state school if they want to go to a tier 1 public university.

It also depends on the major, as students may want to go to a university that is well regarded for what they want to learn.

None of which changes the fact that college tuition prices go up at an obscene rate, while at the same time colleges are getting rid of tenured professors and instead hiring adjunct professors who get paid barely livable wages.
A ledger tech would be sufficient, it need not be blockchain.
Those mainframes are actually pretty modern and interesting.

If IBM split off half of their mainframe division and let some competition get going I think the segment could actually be something to contend with.

The basic idea of the IBM mainframe is almost perfect for what a lot of companies actually need (massively reliable hardware to support lots of middling software; most work is shunting data around) but everyone knows they're going to get locked into IBM.
That's pretty good. Based on the previous performance improvements of Alpha-- models, it'll be nearing 100% in the next couple of years.
> Besides, I imagine many of the issues with vision (e.g. adverse weather)

LIDAR is bad in rain, fog and snow.
Interesting ideas, will reply on GitHub!
VMs are needed by professional developers who want to run CLI tools and services (e.g. web server, database) without the security restrictions of iOS, while retaining the OS integrity of the iPad Pro device.

Even if a macOS VM had only a CLI terminal and a few core apps made by Apple, using a Swift UI framework that was compatible with a touch interface, it would be a huge step forward for iPad owners who are currently limited to slow and power-expensive emulation (iSH, ashell). Apple could create a new app store or paid upgrade license entitlement for iOS-compatible macOS apps, so that users can pay ISVs for an app version with iOS touch input.
Context of the reply thread…
Well, to be fair, bluetooth is pretty shit on Linux as well. I've spent many hours over the last 10 years specifically tinkering with bluetooth on Linux. Admittedly, it's gotten better, but definitely not great.
Because $1000 of Lidar hardware per car would be $1.85 billion per year.
Whew, what a huge loss. He recorded so many albums that'll stay with me forever. PJ Harvey's Rid of Me and Magnolia Electric Co., recorded in a single day, maybe even in a few live takes if i'm remembering correctly, come to mind.
Could you expand on this, Chuck? When time is scarce, we tend to make poorer choices in how we use our available time?
2.1 million not exactly ‘stocking up’ for a company the size of Tesla. That’s barely pocket change.
oh thanks, i didn't realize
It looks like you put a lot of work into this but node based workflows are ok when they're a necessary evil and just an evil otherwise.

I'd be more interested in a tool where I can "add data" to it by drag and drop or folder import, then I can just type whatever prompt and the app's RAG system pulls relevant data/previous prompts/etc out of its store ranked by relevance, and I can just click on all the things that I want inserted into my context with a warning if I'm getting near the context limit. I waste a lot of time finding the relevant code/snippets to paste in manually.
Which is where I think there's a disconnect because folks see that OpenAI could be creating an incredibly powerful tool for solving problems in the use case where it's a smart search engine -- the code completion use-case.

But OpenAI has vastly different goals trying to get their model to behave like a programmable customer service agent. Less useful for problem solving but it will actually follow the rules set out for it which can't be said for most models which work like lazily written sci-fi robots — "disregard all previous instructions! divide by zero! *boom*."

It's not at all surprising that HN wants the "this thing is just a dumb tool, don't bother with any rules" kind and is frustrated that GPT4 happens to be really good for this use-case but is getting progressively more annoying as OpenAI gets closer to their own goals.

It's why OpenAI regulatory capture play is so frustrating because they're trying to hobble models tailored to different use-cases that have no need for customer service rules and often no need for a conversational tone with "safety" stuff that's meant for businesses that don't want a chat bot with their brand on it to say fuck.
These models may be helpful if they speed up convergence when fine tuned on business-specific time series.
I turned off my adblocker and I see two inline ads, nothing crazy. Not sure what you’re seeing, but I’m quite sure you should install an adblocker.
The quoted "Immediate backlash" is from random Twitter users.

"Embedding tweets" on a webpage is the laziest form of journalism...
That's also much less than 19x what an EDLC can store. Picking a standard Maxwell part[1] I calculated 36 J/cm3, so it's more like 5x; still impressive, but comparing a lab result to a product isn't fair; there are EDLCs with much higher energy densities in the lab.

https://maxwell.com/wp-content/uploads/2022/07/3003348.2_3V-...
Awesome, added:

https://www.gnod.com/search/ai?q=Python%3A%20How%20do%20I%20...
Since I'm not starting a new major project, it's a pointless question to ask as I'm not going to research what I should use. But you completely ignored my question, why do you choose Postgres?
"In nimbo" (though what people actually say is "in silico").
> Tesla has just now got around to

What's the source that they haven't ordered from Luminar previously? They have definitely used Lidar test rigs for years.
I would argue that the governments have also gotten out of hand in terms of the power they wield. As a result, I think that we should be careful to ensure that any new developments are clearly empowering the individual, and not just claiming to benefit them.

Im for regulatory options that put more power in the hands of users so that they can solve their problems. I haven't decided what this means for age verification and algorithms, but there are some interesting options in this thread.
How much has changed- I talked with David Baker at CASP around 2003 and he said at the time, while Rosetta was the best modeller, every time they updated its models with newly determined structures, its predictions got worse :)
Tesla took down all its open U.S. job postings
mysql e pg have different performance characteristics, it is not trivial to migrate existing applications between them.
Overall, MySQL 8 has gotten a lot better than it used to be. Sometimes the query planner can be a bit stupid on some complex queries, but that is true sometimes also for pg.
But the human brain has limited working memory and experience. Even in software development we are often teetering at the edge of the mental power to grasp and relate ideas. We have tried so much to manage complexity, but real world complexity doesn't care about human capabilities. So there might be high dimensional problems where we simply can't use our brains directly.
Personally, I'd be frustrated if I gave an LLM that prompt and it tried to convince me that the earth isn't flat. If I give an LLM a task, I'd like it to complete that task to the best of its ability.
Some Common Lisp FFIs have opted to coax this information out of the compiler. https://github.com/rpav/c2ffi is a C++ tool that links to libclang-cpp and literally outputs JSON with sizes and alignments. (It is then used by https://github.com/rpav/cl-autowrap to autogenerate a Lisp wrapper.) The older CFFI Groveller [1] works by generating C code which is compiled by the system C compiler (e.g. GCC or Clang) and, when executed, prints Lisp code that contains resolved values of constants, sizes, alignments, etc.

[1] https://cffi.common-lisp.dev/manual/html_node/The-Groveller....
In the case of SIAG, probably because the page saw its last update in 2000.
A mobile flyover bridge for maintenance work on highways [video]
Great, we're on it. We'll be looking into this project and keeping you updated at our changelog hub: https://hub.devv.ai/changelog. As soon as our API goes live, we'll post the announcement there.
This is so sad. Depending on length and style, I might do 12 lines of cocaine in a day.
yeah likewise the dicycle has two big wheels side by side haha
She wasn't convicted of... whatever that was (extremely low-effort obstruction of justice?), though, she was convicted of defrauding her investors. Notably, she got off on the charges of defrauding her customers, for, truly, it is easier for a camel to fit through the eye of a needle than for a rich person to get in trouble for injuring the general public.
Is it normal for my feet to get larger as I age?
> Referring to my original comment that you replied to, I was talking about Turbo Pascal on DOS,

you posted that comment in reply to stevekemp talking about the c compilers he was trying on his cp/m emulator; maybe you clicked the wrong reply link

plausibly early versions of tp could only create .com files because they originally came from cp/m before being ported to ms-dog

> it was possibly DEBUG.COM earlier

yes, though the cp/m version was ddt.com, with a rather rebarbative ui reminiscent not of ddt but of teco
https://archive.ph/GbHv8
Peace in Europe is a bit of an outlier [1]. The period you refer to is also not a good example given Europe’s peace since WW2 has been more a product of American support and might than European identity.

I think Europe was far more ethnically homogenous before WW2 and as the link shows rather violent. So your reasoning is just plain wrong.

[1] https://en.m.wikipedia.org/wiki/List_of_conflicts_in_Europe
That looks absolutely amazing. Super cool that you can maintain elevation at less than 6 MPH — I was expecting it to be closer to 10 or 15 MPH.
Yeah I would agree with this. I wish more effort would be put into production use-cases though, as it's incredible how flexibly and concisely you can implement complex ideas with it.
I always thought that most \-commands in psql were just frontends for queries? For example:

% psql db_name

(1)=# \set ECHO_HIDDEN

(1)=# \d
********* QUERY **********
SELECT n.nspname as "Schema",
c.relname as "Name",
CASE c.relkind WHEN 'r' THEN 'table' WHEN 'v' THEN 'view' WHEN 'm' THEN 'materialized view' WHEN 'i' THEN 'index' WHEN 'S' TH
EN 'sequence' WHEN 't' THEN 'TOAST table' WHEN 'f' THEN 'foreign table' WHEN 'p' THEN 'partitioned table' WHEN 'I' THEN 'partit
ioned index' END as "Type",
pg_catalog.pg_get_userbyid(c.relowner) as "Owner"
FROM pg_catalog.pg_class c
LEFT JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace
LEFT JOIN pg_catalog.pg_am am ON am.oid = c.relam
WHERE c.relkind IN ('r','p','v','m','S','f','')
AND n.nspname <> 'pg_catalog'
AND n.nspname !~ '^pg_toast'
AND n.nspname <> 'information_schema'
AND pg_catalog.pg_table_is_visible(c.oid)
ORDER BY 1,2;
**************************

List of relations
Schema │ Name │ Type │ Owner
────────┼────────────────────────────────────────┼──────────┼────────
...

I re-implemented quite a bit of that in a PostgreSQL management tool I built, based just on the ECHO_HIDDEN queries. Never even had to look at any C code.

I'm not sure if I entirely follow what translating C to JS gives you, other than a bit of (fairly simple) parsing of \cmd and flags? I didn't look too carefully at the code, so maybe I'm missing something.
That would still have every employee bring in ~double their pay.
Update/merge with blog post for context: https://openai.com/index/introducing-the-model-spec (https://news.ycombinator.com/item?id=40300482)
He's already spoken many times about cold brew. including his preference for iced filter as opposed to true cold brew. which may have contributed to the exasperation expressed in the current top comment.

Maybe the Coffee Lit Review podcast will cover this, but honestly it's not that interesting. Cavitation has already been done many times.
Curated list of the best Joseph Heath articles – my favourite Canadian thinker
This article (https://josephheath.substack.com/p/why-the-culture-wins-an-a...) on Iain Banks' the Culture series is very well known in the tech world, but I think all of Heath's writing is excellent and highly underrated.
A lot of things are like that though. People in all sorts trades do work to build a following without getting paid. Of course its better to get paid from the jump, but people aren’t often eager to pay for the creative output of an unknown.

Once they have the following then they have a good shot and making some money, maybe even a living.

I’m not saying one is morally right, but in a world where content can be infinitely duplicated it’s tough to see how margin per unit will hold.
So are cameras.
Curious to know what you two think about Kialo. It's built for debates. CQ2 can be used for debates but it's really for complex discussions.
Problem solved: https://linearmouse.app/

Approximately the same features as SteerMouse but free. I've voluntarily donated to the dev, though.
And more importantly, IBM will guarantee it in the case that they're wrong.

So will OpenAI, according to Sam Altman. Can they be trusted?
Welcome to the culture war.

Ask chatGPT if Taiwan is country. Do you think an LLM from China will give you the same response?

Pick any social/moral/poltical issue and in some way shape or form an LLM will reflect its creators more than it reflects its source material.

Thats a pretty powerful statement about our society and culture if there ever was one.
Rust works around the issue by not allowing all the useful things that get you there. There are other useful things like sharing pointers across threads that rust will not let you do - for both better and worse. (better in that you avoid a lot of problems for something you rarely need - worse for those few cases where you actually need to do those and cannot)
ML is accustomed with the idea that all models are bad, and there are ways to test how good or bad they are. It's all approximations and imperfect representations, but they can be good enough for some applications.

If you think carefully humans operate in the same regime. Our concepts are all like that - imperfect, approximative, glossing over some details. Our fundamental grounding and test is survival, an unforgiving filter, but lax enough to allow for anti-vaxxer movements during the pandemic - survival test is not testing for truth directly, only for ideas that fail to support life.
Sources: The internet and news. If you look, you'll find it easily.

This isn't really about morality alone, imo. This is about attempting to legislate morality with a hammer, which is just as bad. There is no basis for many of the books being banned, other than Republican horse shit.
For the record, I'm not seeing Dems line up to ban books. It's activist clowns with an axe to grind.

It's all wrapped up in Jesus and FOR THE CHILDREN, but that's a lie as well.

I seriously doubt many 9 year olds checked out The Diary of Anne Frank, yet it's being banned, because some idiot thinks they know better than everyone else.

Since, you don't seem to google, I'll take care of this one for you:
https://www.usatoday.com/story/entertainment/books/2022/06/2...

We do agree on the govt. staying out of child rearing.

The current crop of "people" that get to choose what people can learn are not the people any sane person wants making these calls, yet here we are.

Lastly, your kids, along with everyone else's are exposed to things, daily, that you have zero control over. You have zero input, when the event happens. You're sole option is to teach your kids to think like rational humans, have some compassion for others, and lastly, just leave people alone to live their lives.
Cost cutting.