skysight-inc/HackerNews huggingface dataset:
It's been widely known for years. Search for EcoHealth Alliance and Peter Daszack if you want to learn more.

Briefly, under Obama gain of function research was banned for a while. During this time Fauci signed off on illegal grants to fund GoF research, funnelled through a British NGO in order to evade detection and the ban. The NGO didn't do the research themselves, they then sent the money to Wuhan to fund experiments done there. Thus Fauci was using US money to do banned research, which he then lied about under oath to Congress. It's for this sort of reason that he's now been pardoned by Biden, as otherwise he would likely have been prosecuted. Whether you can actually retroactively pardon someone for any/all crimes without actually specifying what for and without that person actually having been found guilty is a bit unclear, though.
Because Trump told them to.
The wings were aluminum though, not steel.
Looks like more ergonomic setup, and maybe convenient - you can chuck controller into bag, but fuss around with carrying case with steamdeck.
Oh that first level caught me off-guard in a good way.

Like, at first they fixed that weird error condition how you could detonate the tech lab Einstein is in, which broke a trigger and failed the mission. Now you just blow it up, Einstein is there and you can go from there.

And then I continued with the normal motions of this mission and... no, not gonna spoil it. That was a great introduction of new content to the mission. And the second mission does it in a similar way. Hah!
The test is very simple but people simply don't realize it.

When LLMs are good at Prolog, it means they're good at logic, which means they're good at reasoning. Until then, you can't trust them.
Smaller, lighter, arguably "tougher" - but the author starts by saying this is a bad idea too! It mostly seemed to be a passtime.
The common estimates for total switch to net-zero are 100-200% of GDP which for the US is 27-54 trillion.

The most common idea is to spend 3-5% of GDP per year for the transition (750-1250 bn USD per year for the US) over the next 30 years. Certainly a significant sum, but also not too much to shoulder.
i think it was a random example. i thought the same.. its a nation witu a lot of tech and money etc. so its likely as much affected. then again there is a lot of remote nature, but australia would likely then be better as it allows u to be further away from tech and people. its uninhabited/sparsely populated expanses are much vaster.
Hit the random button a few times and every article was bird-related.

Every time I see a bird up close I’m struck by how weird they are, but I didn’t realise they were quite so mysterious.
Not very power efficient, and warranty is meh.

Had to do a repaste to get proper cooling.
Not at 2am when their flight lands, and they have a meeting the next morning.
emacs is missing with copilot, ollama, ... integrations
The reason borders were kept open was that it was considered xenophobic to close down the borders and globally public health guidance was saying that the virus was affecting only old, very young and people with weak immune systems. Only in the middle of March 2020 did countries start restricting travel and by then it was way too late.
I haven’t seen a comparison between JuiceFS and cunoFS Fusion. Note that those are paid tiers of filesystem-layer-as-a-service companies.
I don't think Chain of Thought in itself was a particularly big deal, honestly. It always seemed like the most obvious way to make AI "work". Just give it some time to think to itself, and then summarize and conclude based on its own responses.

Like, this idea always seemed completely obvious to me, and I figured the only reason why it hadn't been done yet is just because (at the time) models weren't good enough. (So it just caused them to get confused, and it didn't improve results.)

Presumably OpenAI were the first to claim this achievement because they had (at the time) the strongest model (+ enough compute). That doesn't mean COT was a revolutionary idea, because imo it really wasn't. (Again, it was just a matter of having a strong enough model, enough context, enough compute for it to actually work. That's not an academic achievement, just a scaling victory.)
Just to clarify this as well, while sixth form (17~18 years old) is optional in the UK, education is still compulsory until you're 18. you have the option to do this at an apprenticeship or skills based school but lots of people do just default to a levels.
Actually, a while back I recorded myself setting this up from scratch (to make a timelapse). I used Nginx reverse proxy, had my apps in Docker containers across my VPSs, the only other tooling I used was Woodpecker CI for the SCM integration and Ansible for my deployment playbooks.

I looked at the raw footage, it was about 45 hours total. So roughly a working week. You can certainly do it faster, I was not rushing and included unnecessary features. There was also plenty of non-CI/CD stuff in that recording.

So yes, I consider this to be trivial. There is so much open source software to lean on these days that does practically everything for you. There are even ready-made k8s distributions (k3s) that will do more in an arguably more standardized way.

People are afraid of it because platforms like AWS/Vercel/etc have coddled them and made them think this stuff is magic. It's just systems, you can do it.
What’s the solution? I’m a human and I can’t come up with a specific move I would call „the correct move“.
Cofounder of Westwood Reveals Crunch Stories on the Lion King [video]
GPT4 is also full of ideology, but of course the type you probably grew up with, so harder to see. (No offense intended, this is just the way ideology works).

Try for example to persuade GPT to argue that the workers doing data labeling in Kenya should be better compensated relative to the programmers in SF, as the work they do is both critical for good data for training and often very gruesome, with many workers getting PTSD from all the horrible content they filter out.

I couldn't, about a year ago. The model always tried to argue in favor of the status quo because of market forces - which is, of course, axiomatic ideology.
Once the competition has initially shaken out in a new category, minority players can hang on for years. Their product could be perfect for their customers in ways that the big guns don't accommodate.
There's a pattern of referees giving unreasonable red cards to Arsenal, and those same referees getting lavish trips to the Dubai, which is where the owners of our title race rivals for 2 previous seasons are located.

It's a similar conflict of interest, if not outright corruption as Justice Clarence Thomas getting free all expenses paid fishing trips and other goodies from a billionaire who wants to influence Supreme Court decisions.
I think it is very human-like reasoning. I reason exactly like this when doing numerical calculations in my head, and I'm a mathematician (no, I can't work with numbers this big in my head).

It's quite funny where late in the piece it says it's checking with a calculator, which a human would do if possible (if they didn't start out with that) but then its statements are pretty much the same as before, and it probably didn't actually use a calculator.
In contrast to the Social Media industry (or word processors or mobile phones), the market for AI solutions seems not to have of an inherent moat or network effects which keep the users stuck in the market leader.

Rather with AI, capitalism seems working at its best with competitors to OpenAI building solutions which take market share and improve products. Zuck can try monopoly plays all day, but I don't think this will work this time.
Nature Research Intelligence
> You’re an idiot if you’re not writing for the AIs. They’re a big part of your audience, and their purchasing power, we’ll see, but over time it will accumulate.

Emphasis mine. What does this mean?
Before performing a mod like this (or generally opening up your device) put your device in battery safe mode [1]

[1] https://www.ifixit.com/Guide/How+to+Enable+Steam+Deck+Batter...
If you developed that script in your employer's time it already belongs to your employer, I'd strongly advise against 'clever' ideas like turning something built during work time to independent gig.
Which programming languages should be retired in 2025, and why?
Can you list some non-obvious options?
Does DeepSeek own enough compute power to actually leverage the higher efficiency of this model? Doesn’t help if it’s cheaper on paper in small scale, if you physically don’t have the capacity to sell it as a service on a large scale.

By the time they do have the scale, don’t you think OpenAI will have a new generation of models that are just as efficient? Being the best model is no moat for any company. It wasn’t for OpenAi (and they know that very well), and it’s not for Deepseek either. So how will Deepseek stay relevant when another model inevitably surpasses them?
Do you mean in the sense of experiment on themselves, make themselves into a lab rat?

Or more literally, that they should make for themselves a lab rat, in the way The Thought Emporium is? https://youtu.be/Z_ZGq8Tah0k?si=UI18mJ4k5Xn4OtfD
It reminds me of a machine-learning startup I worked at for a while. It was a company formed around a single scientist and their research, with the intent of productizing it. It wasn't a scam, people were operating in good faith, but it struggled with the basic problem that turning research into a product, and then selling that product, is difficult and time-consuming, especially for a startup. Yes, in theory there is a large market for more intelligent prediction and analytics across a lot of industries, but actually establishing yourself in say, insurance underwriting, is a difficult slog.

The hype around OpenAI and LLMs has slightly obscured the fact that, traditionally, AI has been very difficult to productize. DeepMind were operating for years, doing cool research and solving problems like playing Go, without actually building any usable products. OpenAI have succeeded so far by having massive funding, and by generating enough excitement around the capabilities of their models to produce an ecosystem of people trying to figure out how to build profitable products from it. But most AI platform startups don't have their level of funding or visibility.

Now, perhaps everything this company is saying is BS, but if we give the the benefit of the doubt, it sound like they have had some success in a specific area, namely training to play Atari games on more limited data that existing models. If true, that's pretty cool, but ultimately there is no market for an AI that plays Atari games, even at superhuman levels.
You may distinguish a 100 different lab leak theories, but they do have one thing in common: the virus came from the Wuhan lab. And it's not as if people are going to shrug and say: well, it only costs 100 of thousands or even millions of lives, and still cripples a great many, but forgive and forget.
In n dimensions, the first derivative is an n-element vector. The second derivative is an n x n (symmetric) matrix. As n grows, the computation required to estimate the matrix increases (as at least n^2) and computation needed to use it increases (possibly faster).

In practice, clever optimisation algorithms that use the 2nd derivative won't actually form this matrix.
I’m having a hard time with this one as a human.

Spring has sprung, grass has risen. I wonder where the birdies are? The bird is on the wing! Isn’t that absurd? I always heard the wing was on the bird!

Not sure what it means that the bird is on the wing.
OK, I understand the flagship model is huge, It seems to be far from local use.

Anyone did it with a smaller/distilled version, and getting good performance?
So we met with very senior people in the White House, in the inner core.
We basically relayed our concerns about A.I., and their response to us was, “Yes, the national agenda on A.I. We will implement it in the Biden administration and in the second term. We are going to make sure that A.I. is going to be a function of two or three large companies. We will directly regulate and control those companies. There will be no start-ups. This whole thing where you guys think you can just start companies and write code and release code on the internet — those days are over. That’s not happening.”

Incredible hubris.
It's only a short stretch, running the length of I-495, but the XBL in the Lincoln Tunnel is a huge reason why people bother with the bus in northern NJ.

When I was commuting by bus, the inbound morning trip (with XBL) was 20-30 minutes, and the outbound evening trip (without XBL) was 30-45 minutes.

https://www.panynj.gov/bridges-tunnels/en/lincoln-tunnel/xbl...
This always seemed to be a very deliberate design choice by them to avoid you being able to use their consumer cards headless versus paying them a large amount on the Quadro or DG cards, since the big problem we saw at $OLDJOB was always that you couldn't use CUDA on them headless.

At said $OLDJOB, we ended up soldering dummy VGA plugs that had resistors across the right pins when we wanted to experiment with building a low-power cluster of NVIDIA Ion boards and seeing how it competed with big cards. Ah, memories.
no, i find this subject very interesting. the discussion could be a little more competent and practical.
I’ve been trying it out a bunch lately. From what I’ve seen, machines with Egret don’t have it enabled by default, but machines with the newer Cuda do.
What’s your use case? Iceberg is meant for analytical workloads
Malimite – iOS and macOS Decompiler
Chain of Thought was known since 2022 (https://arxiv.org/abs/2201.11903), we just were stuck in a world where we were dumping more data and compute at the training instead of looking at other improvements.
Wow, is this true of all Llama model families or just 3.1?
- Can you write it in a way that the aging tech-bro would understand?

- Don't worry. I got it boss.
Isn't the real number around 46,000 people, though?
If you're looking to give Iceberg a spin, here's how to get it running locally, on AWS[0] and on GCP[1]. The posts use DuckDB as the query engine, but you could swap in Trino (or even chdb / clickhouse).

0 - https://www.definite.app/blog/cloud-iceberg-duckdb-aws

1 - https://www.definite.app/blog/cloud-iceberg-duckdb
If you input your own amateur-level chess games in PGN format and consult o1 about them, it provides a surprisingly decent high-level game analysis. It identifies the opening played, determines the pawn structures, comments on possible middlegame plans, highlights mistakes, and can quiet accurately assess whether an endgame is won or lost. Of course, as always, you should review o1's output and verify the statements, but there can be surprisingly (chess coach like) hints, insights, and improvement ideas that stockfish-only analysis cannot offer.
Also available in preprint form:
https://www.biorxiv.org/content/10.1101/2024.07.01.600583v2
Yeah I mean you already need super human imagination to get to ASI so at that point you might as well continue in the delirium and throw in immortality in the mix
In this case it's hard to make something fancy :)

from sqlbind import WHERE, FIELDS, join_fragments

q = Q() # a QueryParams factory
fields = []
joins = []
filters = []

if some_condition:
fields.append('sub_table.field')
joins.append('INNER JOIN sub_table ON (subid)')
filters.append(q.sub_table.date > since)

sql = f'''\
SELECT {FIELDS('table.field', *fields)}
FROM table
{join_fragments(' ', joins)}
{WHERE(*filters)}
'''

Personally I prefer this explicitness to ORM for complex queries which include recursive or multiple joins to the same table.

But I agree ORM shines with simple joins especially if models include proper relationship and there is no need to specify 'ON' condition every time.
I'd put less blame on London and more on secondary cities than the author does because he misses an important point: London is the only UK city that tolerates growth.

The UK system heavily centralised in tax-and-spend powers, but heavily decentralised in veto powers. Secondary cities have used their veto powers to either stop development or make it so expensive that very little gets developed.

City centres are not being built up to concentrate talent, and I wouldn't blame London or lack of public money. Housing and rents are high enough to justify private spending on concentrated development if not for the regulatory burdens and delays.

The author points out Leeds and Manchester having no metro system that exists in other similarly sized cities. But how much of a useful metro system could Leeds build given the same money spent by Toulouse or Lyon? My guess is none, the money would be consumed by lawsuits and addressing local veto owner concerns.

HS2 is cut short because of money that people outside of London demand be spent on making it so expensive on a per-mile basis. If the line were developed similar to other lines in Europe there would be money available for the full length.

I'm somewhat bullish on Manchester in the long run, they may emerge as a second city that tolerates growth. If they develop enough to become an affordable and large city then they will attract a lot of businesses who would otherwise be in London.

In my city we have a "housing crisis" while the city council owns large empty lots in the city centre from torn down or empty buildings. They have been waiting 8 years on handouts from London to afford to develop it themselves, spending £15m so far without a single unit built. It could be sold to developers and fixed council finances, but there is such a strong aversion to allowing a private company make a profit. The council actually has assets to develop the sites, but has preferred to pursue handouts instead of spending their own money.
I assume they meant why is the power interrupted if it switches from charging to not, and I believe the answer is "it's cutting from just vampire tapping the incoming power to feed outgoing, and it would need either chunky capacitors or to be constantly wearing on the battery to not do that".
I'm, just taking a guess here, I don't have any prompts on had, but imagine that ChatGPT is pretty "woke" (fk I hate that term).

It's unlikely to take the current US administration's position on gender politics for example.

Bias is inherent in these kinds of systems.
Ask HN: If Shannon and Hinton collaborated, what would they build?
I was brainstorming sideproject ideas.
I already implemented Shannon 1948 : A Mathematical Theory of Communication and Hinton 1986 : Learning representations by back-propagating errors.

I was curious to find out, if Shannon collaborated with Hinton after 1986, what would they make?

Would we have a wild neural network architecture?
Would we be using data compressors instead of matrices to represent neural networks?

What do you guys think? I bet it's a silly question
I have puzzled about that too. One issue with it being a lab leak is the Chinese very clearly said it's not a lab leak and tried to cover up, hiding databases, banning access to the lab or the area etc, so they would have been shown to be lying and covering up. Also about half the work at the WIV is military stuff and you're not really supposed to be doing military virus research these days.
Ask HN: Hacker News but for culture and politics?
What polite and civil online communities do people recommend for news and discussions around culture and politics, topics that are somewhat discouraged on HN?
None of that existed when they first started. The pitch was to rent out your house while you're out of town.
I prefer indoor lighting myself.
One might think the same of many intelligent and wealthy humans but a number of them are nonetheless cruel, capricious, and uncaring. Why should 'endgame entities' be any different?
Here's the Twitter discussion if you'd like to contribute there : https://x.com/murage_kibicho/status/1883473056989172120
China wouldn’t have acted the way they did if it was a surprise to them. They were burning bodies and interning people like it was an escaped bioweapon.
A look at Firefox's improved Profiles Manager that just launched
Thanks for the @ArtemKirsanov channel. I'm really enjoying his video on "How I make science animations" [1]. That's some cool Python & After Effects. I've always wanted to know how to go about it, especially since I have enough experience with Python and some experience with Sketch/Figma.

[1] https://www.youtube.com/watch?v=yaa13eehgzo&ab_channel=Artem...
SolidGoldMagikarp (plus, prompt generation) (2023)
No, if A's PRs always bounce because the testers find bugs then A is going to look like an idiot. Then again you need to work at a place that actually employs testers.

If B always submits PRs and they always go straight to merged in prod, then B knows what he's doing
Why don't you want a catalog? The SQL or REST catalogs are pretty light to set up. I have my eye on lakekeeper[0], but Polaris (from Snowflake) is a good option too.

PyIceberg is likely the easiest way to write without Spark.

0 - https://github.com/lakekeeper/lakekeeper
I wish valve would do a steam laptop that's just steamdeck in a laptop. I'm surprised how good the steamdeck is. I'm considering replacing my pc with steamdeck + dock + external hard disc.
> the token refresh happens on the client side from the browser

You can totally add logging for that. If you don't have an existing service that can handle it, you can create a logging-only endpoint for that purpose and send the event async to not block other work.
I miss the assembly. It was so clear and logical, like great engineering should always be. You could browse through it and comprehend at a glance what was happening. By contrast x86 assembly looks like pure rubbish, with stuff that most of the time looks like clever hacks coming from a bad night's sleep, like subtracting a register from itself to get zero... c'mon!
I am exactly 1600 at chess.com rating and though I don't do puzzle's much , what I do know is that if you push the white king to b2 then that pawn is losing , take that pawn and then you have 2 bishop endgame which is really really hard .

I once had a bishop and a knight endgame , I think It became draw on repetition.

Asking AI to do this is definitely flawed. This isn't reasoning. From what I know of 2 bishop end game , its more of hey lets trap the king in a box untill you could then snipe the king with your bishop (like his king could be on h1) yours on h3
your 1 bishop targeting g1 and the other bishop anywhere on the main diagonal with no other pieces.

But this is very much stalematey , since I am currently pondering how to get to this position without a stalemate! , if you move the bishop later , its stalement , Like seriously.
https://www.chess.com/forum/view/endgames/two-bishop-checkma...

Just search 2 bishop checkmate is hard , a lot of guides exist just for this purpose , though in my 1000+ games I rarely got once or twice 2 bishop endgame , usually bishop or knight which is just as tricky or if I recall , the worst is knight and knight.
Release v1.15.0 · Ruby/Irb
right now, starrocks or trino are likely your best options, but all the major query engines (clickhouse, snowflake, databricks, even duckdb) are improving their support too.
> And of course if you ask it anything related to the CCP it will suddenly turn into a Pinokkio simulator.

Smh this isn't a "gotcha!". Guys, it's open source, you can run it on your own hardware[^2]. Additionally, you can liberate[^3] it or use an uncensored version[^0] on your own hardware. If you don't want to host it yourself, you can run it at https://nani.ooo/chat (Select "NaniSeek Uncensored"[^1]) or https://venice.ai/chat (select "DeepSeek R1").

---

[^0]: https://huggingface.co/mradermacher/deepseek-r1-qwen-2.5-32B...

[^1]: https://huggingface.co/NaniDAO/deepseek-r1-qwen-2.5-32B-abla...

[^2]: https://github.com/TensorOpsAI/LLMStudio

[^3]: https://www.lesswrong.com/posts/jGuXSZgv6qfdhMCuJ/refusal-in...