skysight-inc/HackerNews huggingface dataset:
the short-term answer is "it's a bit expensive right now", the long-term answer is "we mastered nuclear power a long time ago, it's bound to become plentiful dirt cheap and plentiful again eventually"
See: "How do we know it’s training data?" from the posted link.
I don't really understand why every brand nowadays wants to have a custom font
Yeah, and some times that regulatory environment is a greasy extortionist demanding bribes.
A NASA history of the Hubble,[24] in discussing the reasons for switching from a 3-meter main mirror to a 2.4-meter (94 in) design, states: "In addition, changing to a 2.4-meter mirror would lessen fabrication costs by using manufacturing technologies developed for military spy satellites"[0]

...

"In January 2011, NRO donated to NASA two space Optical Telescope Assemblies with 2.4 meters (94 in) diameter primary mirrors... The mirrors are to be used by NASA as the primary and spare for the Roman Space Telescope. "[0][1]

[0] https://en.wikipedia.org/wiki/KH-11_KENNEN#Derivatives

[1] https://en.wikipedia.org/wiki/Nancy_Grace_Roman_Space_Telesc...
More like we choose to make developers more productive. Otherwise the application might not be available to the user and that would be considerably more inconvenient.
People are too quick to blame "bad genes" for their poor results. In reality this is seldom a major factor and they usually can't point to a specific genetic test result. While genetics might play a role at the elite and professional levels there is no real evidence that it matters for masters athletes. Good habits and training are what count.

There is no evidence that participating in sports wears out joints. Joints evolved to move. The majority of people who need joint surgery lead sedentary lifestyles. Building strong muscles helps to stabilize joints and reduces the risk of injury.
There are obvious scratch/pen marks on the right side of the “pig face”, so I think the simplest explanation is that the nose happened the same way.
Yes, the vast majority of AI images so far are surprising but not better than human made art, and same for LLM generated text. Maybe they are a new kind of AI slurry, but that's just a phase. If you compare generative art one year ago vs today, or even six months ago vs today you know I am right. It won't be slurry forever. In fact I believe the internet will become an AI feedback system, and much of it will be built with AI.
Have you considered a Federal job? Low pay compared to the private sector but tons of benefits and high quality of life. https://www.usajobs.gov/
I switched to jless and never looked back. The user interface is miles ahead of everything else
The image https://i.postimg.cc/nzsc98Dj/27xp-rat-jumbo.jpg
I’m more concerned with lack of chargers. Between DC and Pittsburgh, there are only a few chargers. There are probably more than 100 gas stations.
Wow, that’s mind-blowing. Imagine if the folks back at Bell Labs could have known that was coming.
Given that the people who sit in meetings all day are also the ones who have most of the power, probably yes.
> bit difficult to arrive at any number of years past 10,000 for any invention imaginable

The mean time between paradigm shifts in the natural sciences [1] is 25 years. (Max: 144 years, between Copernican cosmology and Vesalius's work on anatomy in 1543 and the transition to classical mechanics in 1687. Exempting that, the mean time is 18 years.)

I would take that, which is remarkably close to to the length of a generation [2], as being a fundamental factor of the maximum extent of our technological forecasting abilities. A century, 4x that factor, strikes me as the upper bound, though I could be convinced of even 10x in a very stable field. 400x, on the other hand, seems absurd.

[1] https://en.wikipedia.org/wiki/Paradigm_shift#Natural_science... ranges taken at midpoint

[2] https://www.science.org/doi/10.1126/sciadv.abm7047
I think you will find openexr surprisingly well supported across many platforms.
Graph API: MS Graph API User Info Endpoint for Owncloud
Despite the French attempts to pass laws dictating how language works, in English champagne is typically a type of product, not a brand.
Generating invalid code is a big hassle. I have used ChatGPT for generating R code & sometimes it refers to functions that don't exist. The standard deviation of [1,2,1] is 0.577, given by sd(c(1,2,1)). Sometimes I get stdev(c(1,2,3)) - there is no stdev in R. Why not have a slower mode where you run the code thru the R interpreter first, & only emit valid code that passes that step ?
> Through these hackers can generally get passwords of all users of these services.

Assuming you mean password manager services. If they can get a copy of the vaults at all, in a well-designed system they have to attack each one individually.

They also serve business use cases for sharing, and revoking access, to other services.

> So, why don't people use local password managers?

Because synchronizing between devices is an important factor in usability, even just for an individual, not even considering groups or businesses that would share access.

Local password manager vaults can also be stolen by malware, would result in the same catastrophic loss you suggest.

> Just a txt file encrypted with "master password" should be pretty damning to break into. And the reward for breaking in would be password for 1 person. (compared to 100k businesses).

Password managers do just "do the thing you'd want them to do", and because they have a well-defined use case, they can support extensive discussion about threat models, and can easily and coherently support lots of people benefiting from the best research and security, without each having to individually roll a solution.

A hosted service without persistent compromise is likely less vulnerable to an old copy of a vault, and an accidentally disclosed master password causing catastrophic failure.

Lastpass has some issues that look egregious in retrospect. The early exceedingly low-strength vaults that were never upgraded (only possible on login).

1password publishes research and pushes forward authentication management beyond password, e.g. passkeys, in a credibly cross-ecosystem way.
You could build a culture where written communications are held in equal status with verbal communications. That might not only help this person, but might activate everyone to start sharing ideas.
This happened to Gitlab.
That is a slight layer upon simple JavaScript string templates, nothing compared to JSX I would say

Edit: hint: that is why Lit's library is also much smaller
Not engage on sensitive topics: yes, even with people you like

Not engage on any topic outside the strictly necessary for work: a passive-aggressive way to keep the animosity forever
would be lovely if ${cpu_vendor} would document exactly how FSRM/ERMS/etc are implemented and what the expected behavior is
I got top 20 on my first product hunt launch by doing a homework assignment
You tell your enemies where you are so they wont get close. Its sabre rattling. A favorite engagement for soldiers is firing at other soldiers somewhat out of practical range.

Pretending to not be the enemy will get you close before the enemy realizes and everybody loses.
Bookmarked. I was so proud to get it in the minimum number of guesses, but turns out 56% of players did that!
I love that they embed entire workflows into the meta of their images
Current bitcoin price is around 35k USD. This means that mining of one BTC going to cost you up to 35k USD (including the cost of equipment, electricity and everything else like the probability of finding a block). Why so? If the cost of production was higher than market BTC cost then it would be not profitable to mine. If cost is much lower then it's worth to buy a mining rig and start mining.

1 block gives 6.25 BTC for the block and around 0.5 BTC from transactions. 1 block contains 4k transactions.So 35k US/BTC * (6.25 BTC + 0.5 BTC) / 4k transactions ~= 59$ per transaction. That includes all energy spent by all active miners and full cost of equipment.

Not sure if a "swimming pool of water" costs 60$. I guess not.
Explains a bit or two about bitter almond, doesn't it?
And, from your [2]:

> Then Vice President George Bush had gone before the United Nations on 14 July and declared, "One thing is clear, and that is that USS Vincennes acted in self-defense…It occurred in the midst of a naval attack initiated by Iranian vessels [...]

> As it came to pass, none of this was true.

> However, the truth of the matter would have given the Democratic candidate for President, Michael Dukakis, ammunition to embarrass George Bush.

> There were good reasons for spinning the story in a way that put the Iranians in the worst possible light.

And so the trigger happy captain got that ribbon instead
This was asked yesterday: https://news.ycombinator.com/item?id=38448674
Yeah, you will need to adapt the code a bit: https://gist.github.com/b0o/ac939eb1608f949765ac842fe28f53b9
From a sibling discussion (now dead): apoptosis means programmed cell death, so the title is roughly “Lidocaine induces programmed cell death in head and neck cancer”. Kudos to @QuercusMax.

Quite an interesting development!
You're approaching this from "what is the optimal way to securely encrypt my own passwords as an expert user". Consider these two perspectives instead:

1. I am an average user and want to store my passwords, and I don't want to have to think about them for more than 5 seconds, ever. I want some solution that will input passwords for me when I go to a website, and I don't much care about the actual security situation; I assume it's fine. From this perspective, an encrypted text file is a much worse user experience, and the potential for a data breach is not something I'm thinking about at all.

2. I am the CISO or similar security professional for a company. I can't let users just use whatever passwords they want: not only do I know it's a terrible idea, I'm bound by the controls in my security framework to do something to enforce password strength and encryption. So, I need users to do something else. Even if it's allowed by my security protocols, I am not going to trust the 500 people in this company to keep an encrypted text file of strong passwords that I have no oversight on. Most of them will use "password123" for everything, I know this for a fact. Instead, I want to enforce some password standards and rotation schedules, and have a dashboard that says "everybody has a strong password" that I can show off at a vendor security review or even just my personal performance review. That implies a SaaS product.
Trawling through the wayback machine, I did find that the older pages link to https://github.com/greensoftwarelab/Energy-Languages, which does seem to provide the contents of the specific programs used and the benchmarking software. Excellent.
Catapults just shorten the runway needed. The plane still needs a ton of fuel to climb to altitude. Plus, I doubt you'd ever get a lot of civilians to fly off a catapult...
Stability AI Considers Sale Amid Investor Pressure; Continues AI Innovation
That's still considered "internal" combustion, as the combustion is occurring within the context of the engine itself.

The traditional contrast to the I.C.E. is the external combustion of a steam engine, where the combustion occurs in a boiler, which then directs steam to the actual reciprocating engine (in a traditional steam engine).

Steam turbines actually could be a case of an external-combustion turbine, as these are powered by steam which is heated externally to the turbine itself (e.g., there is no internal combustion chamber).

Not all steam turbines are combustion engines, however. A nuclear power plant's steam turbines are fed by steam created from nuclear fission rather than chemical combustion. Some solar thermal power systems runs steam turbines based on solar power, and I believe that most geothermal power involves steam and turbines. Functionally, the steam turbine bits of these systems are identical to a coal-fired steam turbine, but the heat cycle differs.
Pull out some RAM sticks.
I believe this has improved in jq 1.7: https://github.com/jqlang/jq/releases/tag/jq-1.7

> Use decimal number literals to preserve precision. Comparison operations respects precision but arithmetic operations might truncate.
Looks like it was 15-50 in 2020 https://www.statista.com/statistics/1267546/france-monthly-w...

What happened in 8/2021 that caused a huge spike?
New EV charger pushes half a megawatt – but only one car can take it
You mean ring? Nest is a google property. Doesn’t even use aws, so pretty sure Amazon would just give the police a dumb look if they were asked for footage from nest cameras. Also last I checked nest was one of the better players in this regard requiring warrants and had rigid public data retention processes in place to limit what could be pulled.
Someone wanted to make work for themself.

Or justify themself being present at their "job". :)
The printed one included a "Unix Barf Bag" glued to the back cover.

https://imgur.com/a/0fGOdP7
Not that I know anything about these things, but FTA:

"..To briefly recap: the Cerebras Wafer Scale Cluster extends the 40GB of on-chip memory of each CS-2 with over 12 Terabytes of external memory. Unlike GPUs which only have 80GB of memory for all weights and activations, we store weights in external memory and activations in on-chip memory. The CS-2 works on one layer of the model at a time and weights are streamed in as needed, hence the name – Weight Streaming. This model provides us with over 100x larger aggregate memory capacity than GPUs, allowing us to natively support trillion parameter models without resorting to complex model partitioning schemes such as tensor and pipeline parallelism.
If you read the bug tracker, a comment mentions this affects Zen 3 and Zen 4
Even though they offer inference, training is their primary focus.

Inference hasn't really picked up revenue-wise (across the space) comparing to training and it's not a great market to be in. As you mentioned, it's crowded and the barriers to entry are minimal. Anyone with experience in spinning up containers and scaling them can offer this servicer. Paradoxically, it's also the market where the big cloud providers are very well positioned to dominate. Spiky and unpredictable workloads is where their bread and butter is. Their whole economic and infrastructural model is pretty much tailored to this traffic pattern.

Training is a totally different ball game. It is a model that is disruptive to big cloud providers given that it follows very different traffic patterns. Training LLMs involves spinning up 100-1000s of machines for a relatively short period of time and with interconnect that doesn't typically exist in data centers. That is a very unique workload. Additionally you need significantly more specialized ML knowledge in tensor parallelism, optimizations, CUDA etc. That is not as common as scaling a container based workload..

Fun fact: Oracle is surprisingly well positioned in terms of their interconnect fabric. Even Microsoft is partnering with CoreWeave for GPU clusters because they dont have as much capacity interconnected in the right way.
Game trusts the local clock. You can change the datetime. I did this to try older puzzles.
For upper level MOFAANG engineers earning more than 400k?
These seem to have slightly more technical detail:

https://www.tomshardware.com/news/loongson-launches-3a6000-c...

https://wccftech.com/china-loongson-3a6000-cpu-reaches-core-...
Load of rubbish: litter-hunters vie for unusual world title in Tokyo
The deep Twitter cuts were a prime example of number of employees / productivity being orthogonal metrics. Sure, they lost a lot of advertisers and suffered some technical issues because of the transition, but it wasn't nearly as bad as everyone had predicted (myself included).

The advertiser loss might turn out to be fatal, but I would argue that was more due to a change in the direction of the company (and leveraging it up with much more debt) rather than personnel loss, per se.
Worker productivity isn't simply some fungible resource they can pay per cycle for, and there's no "I" in team. They want FTE teammates working 8/5, that's why they aren't interested in a pay-less-get-less arrangement. I've asked before why I can't take 3mo unpaid leave per year.
Thought 1: On Infinite Libraries
You need to be able to tell the difference between what will happen and what might happen. If you don't remember the losers, you will assume every idea is a winner.
No fiat means by decree. Its used to differentiate money that takes equal or more work to create/issue (e.g. gold), from money whose issuance is controlled by the central banks who can create it out of thin air with little to no work.
yeah they are great for employment insurance.
According to the article, ultrasound can measure brain activity and it can influence brain activity in deeper regions of the brain without invasive probes.

This sounds very promising vs electrical techniques.
What LLM text generation has shown is that you don't actually have to understand English to generate pretty decent English. You just have to have enough examples.

This is where the massive corpus of source code available on the Internet can help generate a "LSM" (large software model) if you can expose the tokens as the lexer understands them in the training set.

If your LSM sees a trillion examples of correct usage of lifetime and scope and types and so on, then in the same way that an LLM trained on English grammar will emit text with correct grammar as if it understands English, your LSM will generate software with correct syntax as if it understands the software. Whatever the definition of "understands" is in the context of an LLM.
Is this also true of M1 Ultra in Mac Studio?
I would normally shrug this off as ridiculous... but then I read that the lawsuit is a US lawsuit...
>Clever and smart scammer is extremely great at his job sending people into poverty. Absolutely great at the job. Is it admirable? I’ll leave the judgment to you.

You did the opposite of leaving the judgement for me.

You wanted to argue that he did nothing worthy of admiration - so it would be interesting to hear the reasoning (if any) behind that. He lived 99 years, are you sure he did nothing worthy of admiration in his life? I know nothing about the guy but I can see on wikipedia that he was at the top of his class at Harvard. Isn't that potentially admirable? What about him providing free legal aid while being a student? Nothing worthy of admiration? Are you sure that none of his family members didn't find him admirable? His neighbours or colleagues?

Again, saying that he never have done anything admirable is a pretty strong claim that you have failed to argue for.
I guess you still think about PHP when it was version 3 or 4... we're at version 8.3 now and it's definitely not the same thing. Both for language and performance.
How can someone sue in the US a Portuguese national for advertising a Chinese exchange?
> Conway’s law is powerful but it’s not the only reason why microservices are harder (...)

It's the reason covered in the video you're commenting on, though. Except that "teams who happen to own microservices experience org coordination issues" is spun as "microservices owned by teams cause organizational issues".

From their inception, microservices were always a management tool, which happens to have operational and technical benefits and tradeoffs. If a project goes through challenges because they can't get all teams on the same page, that is not a technical problem.
yup, that would make the most sense. in my head it would make sense to need earbuds if you plan to talk with it in noisy environments, or instead use an app on your phone to chat with it through a text-based interface.

and then in private environments, you can talk with it out loud.
IDK it saved me few hours. I did 22000 km with my EV. That 2.2 tons of fuel saved which is about 36 fills which is 3 hours at 5 minutes each.

During my ownership I did 3 longer trips. Total charge time is about 1.5 hours.
AIs can double check. Agent to agent confirmation and validation is a thing.

In any case, the point is that we have learned techniques to compensate for human fallibility. We will learn techniques to compensate for gen AI fallibility, as well. The objection that AIs can be wrong is far less a barrier to the rise of their utility than is often supposed.
Wonder how it does with https://wavtool.com
> The energy density of batteries vs fuels is the current limitation

It's not just that. Fuels mean the aeroplane gets lighter with distance, especially on ascent. Batteries need so much more energy just to carry their own weight the whole way.
Have you seen PWAs?

https://www.google.com/search?q=pwa

Websites already have access to offline storage via the localStorage API.

When the user installs a PWA, it gets additional permissions which make it even more similar to a native app.
This relates very well to AGI.

There can be long periods of minimal quantitative progress, even quantitative regression, before a massive qualitative leap that's the result of making a few small changes.

Planes either fly or fall.

The difference is that a super-intelligent AGI could provide immense value in secret. It's somewhat hard to keep a plane secret. It's value is largely in moving people, so people have to know about it and they fly right there in the sky for everyone to see. Also, massive rockets are hard to hide, and a lot of the value was publicity.

I expect that somebody somewhere is going to have AGI for a period of time when the rest of the world doesn't know they have it... and right now feels like that time. People are openly publishing LLMs that float awfully close to those motorized gliders that decidedly, definitely didn't fly... until suddenly they did. It's only a matter of time until someone figures out how to make these fly, and the question isn't when, but when we'll find out.
> So, why do people and companies use Okta, Lastpass, 1pass etc?

Your answer is in your post:

> Obviously, this would be less convinient and wouldn't sync between devices.

That said, any linux user a little bit curious/nerd could use pass + passFF + git (or any self-hosted or not git repo) + password-store (if they want it on their phone too).
One reason to do this is that often performance improvements involve architectural overhauls that maintainers are unlikely to approve of.
I would kill for an all-in-one solution where I work... today we use a different scanner for every single type of scan we perform, and it's a nightmare to programmatically analyze the results.
Hipster design teams. Typography lets them be "artists", returning to bohemian roots. In reality, they're just designing apps around dark patterns or whatever the product management team thinks is righteous. Companies can't say no, they're in demand, so its really a "20% project".
The German translation for share is not Aktie (like Stock Exchange) but teilen (like send to someone).
I was going to trade in my M1 Pro for an M3 Pro (I love the black), but I'm seriously getting second thoughts. I guess you can make a product that's just too good, after all.

Might keep my M1 until the M4 or M5 Pro.
Ah, you're right. TextQL combined with Miller would be closer, but DuckDB can do the same things all in one. Always good to have a variety of tools to choose from.
Anything proprietary or specific to Kagi needs to be sanitized / made a Plugin. E.g. an error message might say "please contact support at X." It's non-trivial to make all errors generic and pluggable. It's a lot of work to keep the business separate from the OSS part.