skysight-inc/HackerNews huggingface dataset:
This is why I try to stop when things are "unfinished", leave a note for myself, and pick things up from an easy starting point later.

Another way I "get unstuck" is a heavy dose of mushrooms and a long walk in a forest. But that might not be for everyone ;) And it's more of a 1-2x/year type thing.
Surely you've heard of reliability bath-tub curve.
How Bourbon Got Its Name
The First Super Mario Bros. Movie Caused Nintendo to Withhold Rights for Decades
Yes, the Mixtral magnet link was tweeted on the 8th of December: https://twitter.com/mistralai/status/1733150512395038967

The paper just came out today: https://twitter.com/dchaplot/status/1744547220983005478l
Yes, it is an opinion. People are allowed to contest elections. There is no legal requirement to admit loss. He tried to get no one to "falsify votes". That's spin. None of that amounts to "a treason".

Your narrative depends on a curated set of statements made in a very specific manner. To wit, it is a carefully crafted opinion.
As much as I find less practical use for OpenBSD these days, I'm very glad it exists, both for fun and whimsical things like this and for some cutting-edge security research and implementation which actually works in a practical way.
Why would you assume I meant that no Airbus model had anything to criticize. Give me a break.
Pg_savior, a PostgreSQL extension that prevent accidental data loss
"Is anyone changing their minds about any of this after 4 years of digging into their positions?"

LLMs probably don't understand that not everyone is intellectually honest, that conspiracists who ignore a preponderance of expert evidence to insist on their own positions, generally feed on the attention. I'd say that in countering that, sarcasm, caricature and calling attention to the absurdity of their arguments can be more persuasive to others than watching two non-experts debate specific points while carefully select papers ad nauseam. I'd guess others might even identify with the emotion of a commenter's frustration that after years of evidence, discredited positions that unnecessarily risked people's lives continue to be retold.

And I'd hope that others would recognise the expert consensus that masks are effective at scale in flattening the curve, buying time to develop vaccines and hence saving lives, and see the importance of reason over a choice of linguistic flourish. Maybe since an LLM can't understand how sick of the post-truth era we've become you'd want to weigh in on the discussion itself.
Before I ask my questions, here is an idea for your pandas book, if you haven't covered it already. The support of basic operations, like `round`, depends on the underlying data type (regular float and numpy's float16, float32, float64). Some np floats get rounded while others simply get ignored (they will not get rounded). It took me many hours to figure it out and fix resulting bugs. Maybe others would appreciate some information about this and similar gotchas.

Regarding polars, would you have time to answer these questions?

1) How are polars supported by popular data science packages, e.g., for plotting?

2) I know it is a bit silly: is there a way to get around typing `pl.col`, etc. all the time?

3) Besides `tidypolars`, are there any reasonable packages that add support for dplyr-style pipes or operation chaining?
Robert Pirsig spends a good number of pages discussing stuckness and what he calls gumption traps, I think that part of the book may be interesting (and perhaps even useful; it was to me) for people who found TFA interesting.
Here's a Netflix documentary (in the wake of the MCAS crashes) that alleges that after the merger with McDonnell Douglas, the culture of the firm changed. Previously dominated by engineers, it was now dominated by MBAs with a focus on profit and shareholder value.

"With impressive clarity, Downfall: The Case Against Boeing reveals corporate corruption that's enraging in its callousness and frightening in its scope."

https://en.wikipedia.org/wiki/Downfall:_The_Case_Against_Boe...
https://www.netflix.com/hk-en/title/81272421
The model's weights were released in a torrent, but this is the much anticipated paper detailing some of the work.
You also have to consider whether the US cares.

Most of the shipping through the Suez is going from China to the EU.

Is the US going to cry very much if China has problems exporting to the EU such that the EU turns to importing US products?
The optimal amount of ....... is non zero
I’m not a junkie degenerate. I’ve done a lot to fall in line and become a productive member of society.
I was always enchanted with the name of a cat, "Mister Guts", in the 1967 story "Gonna Roll the Bones" by Fritz Leiber.
That's on you. If you want to become a data engineer and data scientist -- the two software positions most likely to use polars -- get learning. Or don't: learn it when you need it.
Is it not a lot better on that front than .doc was, though? I realize a lot of stuff can read .doc today but it's due to a lot of reverse engineering that happened over like 20 years because it was entirely proprietary.
Seems fun. One suggestion: ensure that the solution is unique. I just got a puzzle with two solutions.

https://i.postimg.cc/L5bbp2Hy/Screenshot-2024-01-08-at-7-06-...
Substack is going to remove five Nazi newsletters
It's been tried. Numerous times. There's a reason why GenAI controversy is stuck at ethics and filled with rage, the generated images just aren't that great and so that part isn't so controversial.
702 has it's problems, should be reformed, maybe replaced or shutdown or whatever. But the tone of the article is so far off the reservation, it's actually insulting. The program, whatever it's flaws, is a real and large part of the national security apparatus that largely functions as intended day in and day out. I'm not trying to go all Boromir "Are your lands kept safe..." but the self righteous indignation that we need to gut the intelligence community just because some fbi analysts deserve jail time is asinine and betrays the authors severe misunderstanding and makes a sympathetic argument revolting.
I am disappointed to see no mention of "passive radiator" nor "parasitic element" on that page anywhere: https://en.wikipedia.org/wiki/Driven_and_parasitic_elements#...
It's easy to calibrate torque wrenches to +/-5% of each other for _torque_. Calibrating a torque value to _tension_ of a fastener depends not only on the accuracy of the tool, but on materials, lubrication, temperature, process, etc. +/- 30% actually depends on having a good process. This only accounts for variations in tolerance, surface finish, etc. If you add lubricant under the fastener head when you are not supposed to, you can easily reach +50 or +100% tension.
CursusDB: Fast, open-source document oriented database with SQL like query
I’m going to be using “moral crumple zone” in every conversation I possibly can from now on.
> It kind of annoys me when comment sections are filled with people talking about how incompetent Boeing is. It feels like out of shape slobs on their La-Z-boy chairs talking about how incompetent or slow some professional sports players are.

People do this with everything though, and air travel induces a large amount of fear in the populace. Not only are we not generally comfortable flying in the air for obvious reasons, but when it happens almost everyone has to concede control to a few people in the cockpit and on the ground. Driving, even if exponentially more dangerous, affords the illusion of control of one's outcome, given driving or having someone you know driving, and control over the vehicle maintenance, etc, as well as familiarity with the control and mechanism of the vehicle. These things don't exist with airplanes for the vast majority of people.

So, you can see why there is a need to find a human component to air travel problems, because that is something one can fix (fire the incompetent people, fine them, whatever), as opposed to all of the other things which must be accepted or rejected entirely.

It is entirely in line with human nature to do this, regardless of its accuracy or effectiveness.
> There was basically (and as far as I know, still is) no evidence to support this being the case.

If you're not aware of the evidence, it's not from lack of information being publicly available. From almost a year ago:

https://www.cnn.com/2023/02/28/politics/wray-fbi-covid-origi...

https://www.wsj.com/articles/covid-origin-china-lab-leak-807...

And Fauci, et al actively worked to discredit the lab leak theory in Jan-Mar 2020 when there were some early clues.. therefore casting anyone digging into them as a conspiracy theorist as you just did:

https://oversight.house.gov/wp-content/uploads/2023/07/Final...
If you don't know what the comparison product is either then you are not the target customer. This is a library for analyzing and transforming (mostly numerical) data in memory. Data scientists use it.
You are ignoring all of the violence that has happened under capitalism in the form of colonialism, slavery, resource wars, and homelessness.
Narrow the Lanes
I’d like to note that this model’s parameter usage is low enough (13b) to run smoothly at high quality on a 3090 while beating GPT-3.5 on humaneval and sporting 32k context.

3090s are consumer grade and common on gaming rigs. I’m hoping game devs start experimenting with locally deployed Mixtral in their games. e.g. something like CIV but with each leader powered via LLM
Looking at the docker compose, this seems like a very complicated tool to run.

You'd need Kafka, zookeeper, and Jaeger. All would need to be HA. Then also this service. Not mentioning postgres because in theory you can use aurora or the like.

How quick have your current customers been able to get up and running so far? And how much maintainence have they needed?
I think many of us run our own NAS or document server or something... or even just an rsync and off-site system. But delivering this to users as a turn-key solution is a challenge. If your role is to just provide software that works together, there are some not-too-difficult solutions out there but still a lot of ways to mess up the replication or keep things from getting pwned. If your role is to provide availability and reliability, the economies of scale and totality of control that a centralized system provides just wins out over an indexing of the user's systems.

EDIT: I missed that your question was specifically about browser access. tbh I think it makes the most sense to deliver the files directly by the server, with maybe some media controls for specific file types but even that is something the browser can basically take care of out-of-the-box.
Amount of time to eat a pie while waiting for your numerical library of choice.

Conclusion: Polars gives you indigestion.
...and I thought it was a wiki about cars.
Who violently overthrew Congress? Gaslighting doesn't help your argument.

Is the "markeptplace of ideas" like when the Media and the DNC incited mass riots for eight full months before the 2019 election, mass-terrorizing American voters? To what end? To make sure there was a "fair trial" (note: this assured the opposite)? Or to make sure that the preferred candidate was elected? Again, by targeting American voters.
same ip address + agreement between roku (or whatever) and facebook...how to make it stop? one option is to use phone data for one device, broadband for the other
Good on you for wanting to learn about it.

Two things strike me as odd about networking compared to many other IT/software fields:

First, it evolves much, much slower than anything else. Everything I learned 2 or even 3 decades ago is still relevant. Ethernet, DNS, DHCP, TCP/IP. New things got bolted on but everything old is still relevant. Yes, even in the modern cloud.

Second, I've met so few in the fields that actually understand anything about networking. Even as basic as an ip address and subnet. As long as the web page loads and the data is flowing, people stop caring fast. When the network breaks, most software devs are stomped and can't even do the most basic troubleshooting.

My only recommendation is to start with the absolute basic and learn from first principles. Ethernet, IPv4 (packets, IP addresses, subnets, routes), UDP, DHCP, DNS, TCP, HTTP, tunnels and VPNs, in that order. Use wireshark along the way and research everything that is unclear before going up the stack.

Try to run your own router/firewall using openwrt or pfsense/opnsense.
Sure, but there should be some kind of consistent visual affordance that conveys that the action is disabled, before the user clicks on it.
What SoC are you using out of curiosity?

ARM cortex, riscv and espresif all seem like they have first class support. Unless you are talking about peripherals in which case, why would you expect the language to write/maintain low level drivers?

The hurdles to replace it in micros might be worth it depending on the team size and requirements. Personally, I wouldn't expect it to ever replace existing code bases, but could be a reasonable choice for greenfield designs.
We've been using polars in production for over a year as a replacement to pandas. It's been a good experience: smaller memory footprint, way faster and just more pleasant in general to code. Package is being developed quickly so things get deprecated quickly but I'm not one to complain.
I'll be charitable and assume you suggest "assets sold off" includes divisions to support existing planes and infrastructure.
As a founder it is easy to see how the actions of Carta seemed like a breach of Trust. but the lack of a major player in the secondary market is a problem for past employees of startups who can't sell.

Putting aside using data they shouldn't have used, this episode is revealing a major problem in the startup space.

Unfortunately there is conflicting interests when it comes to secondary liquidity in a company. The founders/CEO wants control of the cap table, who the investors are, and the share price. They also want any interests in purchasing shares to go towards issuance of new stock in a round rather than cashing out past investors.

But for employees and other investors, secondary markets are a positive thing. If you are an employee sitting on millions or hundreds of thousands of dollars in shares, it can be frustrating that the company locks up and controls all liquidity even though you might have paid considerable exercise costs for those shares. As an past or current employee it should be a positive thing to have inbound demand for your shares, but this goes against the interest of the company.

The reason Carta's secondaries business failed is because founders are not motivated to provide liquidity to employees or investors. Founders and the C-suite want control and typically can self-approve transactions for their own liquidity. This conflict of interest needs to be solved by someone.

Hopefully someone can solve this problem in the future.
The average gamer doesn't have a 3090-equivalent, or even an Nvidia GPU.

Running LLMs locally to create custom dialogue for games is still years away.
Yes, the canary in the coal mine technique. As far as I know it's not illegal, but you only get a count of '1'.
The one abuse of that phrase I recall was around masks, where policymakers and science communicators initially said there was "no evidence" that they worked at reducing COVID transmission. I agree with your criticism when it comes to this case.

But when policymakers say there's no evidence for ivermectin's ability to treat COVID, I don't fault them because I see their choice of words as being aligned with the truth. Therefore they are accurately communicating science and good policy.

As with all uses of language, we have to look at it on a case-by-case basis whether it's being weaponized wrongly or used appropriately. I will criticize it when it's used wrongly, and otherwise not criticize it.
My ex-girlfriend used to do this back in our teens, and I used to think she was crazy... until I started to do it. Blew my mind.
There are level headed, academic definitions of terrorism. Not everything that touches politics, is itself political.
tldr;

- 'sparse mixture of experts' means each layer contains 8 mini-neural-nets (experts), each trained to be good at certain data/tasks

- a router network passes each token (word) to 2 experts which suit it best

- since only 2/8 experts are utilized, the model effectively only uses 13/47B parameters during inference (text generation)

- this expert mechanism makes it very efficient and effective (uses less params, is able to speciailize to tokens)

- beats llmana 70b and gpt-3.5, especially at math and coding and language

- has fine tuned model able to beat gemini pro, as well as llmana 70b and gpt-3.5
It's an effective way, but generally a very bad one. I used to work in telecoms, and some idiot took down a tunnel between the UK and Germany carrying 1kB/s of RADIUS traffic because someone (the idiot) owned the link it ran on and had failed to record the formal allocation of this tunnel to a production customer-facing public access WiFi service I ran. I on the other had remembered to record his telephone number and his boss's telephone number, and a certain amount of screaming went on. Moral: before doing a scream test, make sure your own documentation is watertight.
This blog post resonates, and three creative prompts for doing something come to mind:

1. Roll the dice:

“In The Travels and Adventures of Serendipity, authors Robert K. Merton and Elinor Barber quote the late Professor Salvador Luria of the University of Illinois as praising “controlled sloppiness, which states that it often pays to do somewhat untidy experiments, provided one is aware of the element of untidiness.” In any case, the idea here is to trend toward chaos, entropy, and randomness in your work—a sense of controlled sloppiness.”

More here: https://www.holloway.com/g/creative-doing/sections/roll-the-...

2. Relinquish results:

“In his book Surely You’re Joking, Mr. Feynman!, Nobel Prize-winning physicist Richard Feynman recalls an art class when he was instructed to draw without looking at the paper. He was impressed with the results, noticing a “funny, semi-Picasso like strength” in his work. He knew that it would be impossible to draw well without looking at the paper, so he didn’t consciously try. He writes, “I had thought that ‘loosen up’ meant ‘make sloppy drawings,’ but it really meant to relax and not worry about how the drawing is going to come out.” The solution is to do something without caring about the results.”

More here: https://www.holloway.com/g/creative-doing/sections/relinquis...

3. Treat your current work as a draft:

“Think of everything you make as a demo, a sketch, or a draft. Remove all ideas of expectations and goals, and focus simply on the process and taking a draft to a state where you declare it finished and acceptable as a working version.”

More here: https://www.holloway.com/g/creative-doing/sections/draft-dem...
> It might be interesting to repeat the study for other groups. College graduates? Graduate students?

College graduates are no longer a rarified group with high IQs:

We conducted a meta-analysis of the mean IQ scores of college and university students samples tested with Wechsler Adult Intelligence Scale between 1939 and 2022. Results. The results show that the average IQ of undergraduate students today is a mere 102 IQ points and declined by approximately 0.2 IQ points per year.

Ref: https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1309...

As a whole, their primary differentiator appears to be the ability to get loans.

Individual programs (by university or degree) vary though so cohort analysis by one of those may be useful.
While the thermodynamic and the information theoretic concepts of entropy are related, it's not really applicable here. All the "real" information in the system is highly redundant (except perhaps neurological)-- we have billions of copies of the "information". The system's ability to restore itself to the order specified in the plan is lacking.
For flight data metrics, this makes sense, but this is significantly already happening with aircraft systems transmitting data back to central monitoring systems in realtime. Pilots can see an errant value (say a moderately high temperature somewhere) and call up an engine specialist and ask them if it's a concern and that specialist can look at a plethora of data on the plan in flight. The planes can also "phone home" and report things which should be looked over or fixed during the next downtime and maintenance organizations can proactively order parts or schedule personnel to fix issues before the plane even lands. This is all being done in the name of efficiency, but, it no doubt has positive safety benefits too. Airlines and manufacturers can already run a query like "how many hours between replacement of part X on average" and "how many hours between replacements of part X for planes which regularly fly to middle eastern countries (hot and dry)"

For audio recordings, in the absence of an incident, I see no reason to do it.
Oh righ! I messed it up, Pentiums were much earlier. Thanks for the correction!
A few months ago I tried migrating a large pandas codebase to polars. I'm not much of a fan of doing analytics/data pipelining in Python - a complex transformation takes me 2-5x as long in pandas compared to Julia or R (using dataframes.jl & dplyr).

Unfortunately polars was not it. Too many bugs on standard operations, unreliable interoperability with pandas (which is an issue since so many libraries require pandas dataframes as inputs), the API is also very verbose for a modern dataframe library, though it's still better than pandas.

Hopefully these will get resolved out over time but for now I had the best luck using duckdb on top of pandas, it is as fast as polars but more stable/better interoperability.

Eventually I hope the Python dataframe ecosystem gets to the same point as R's, where you have a analytics-oriented dataframe library with an intuitive API (dplyr) that can be easily used alongside a high-performance dataframe library (data.table).
Moe-Mamba: Efficient Selective State Space Models with Mixture of Experts
Going forward: https://github.com/fugue-project/fugue
problematic about what? the idea of an "educated" voter is very childish

a lot of political topics, particularly foreign policy and economics, are far too complicated for ordinary people to be informed about. if you ever have the time i would recommend reading the book "propaganda" by jacques ellul. or just skimming the chapter titled "the necessity for propaganda." it's pretty relevant to the thread as well
They include CAs that users have added (I'm guessing that information is in the OS root store), not CAs that comes with the OS. This is presumably so that you only need to load your custom CA once to the whole OS, not for each app.
Will they still be selling equity and compensation data or getting out of that business? Technically that’s still a data product too.
Google tells me that the RTX 3090 is priced between US$1,480 and $1,680.

You can buy a whole PC for that, I refuse to believe that a GPU priced that highly is "consumer grade" and "common".

Are there any GPUs that are good for LLMs or other genAI that aren't absurdly priced? Or ones specifically designed for AI rather than gaming graphics?
> People did this for free.

People do this for free.
The link to that Onion article was worth a double up vote!
In the car world that torque is measured in ugga duggas from the impact wrench
Theoretically you can use as many as GPUs you want in parallel. LLMs are easy to split and run in model parallel configuration (for big models which don't fit on one card). or data parallel for performance, when the same model runs different batches on GPUs. PyTorch has full support for both modes, afaik.
BoxLambda: A retro-style FPGA RISC-V microcomputer from open-source components