skysight-inc/HackerNews huggingface dataset:
No, the amount of math done is (approximately) the same; if you make the denominator 8x bigger, you make the numerator 8x bigger too.
I use linux at home, but have to use Windows at work. Microsoft team's desktop app even runs like ass on Windows.
https://github.com/NixOS/rfcs/pull/136 soon, you shouldn't have to care what language it uses!
I've stopped using Google entirely and don't miss it a second - something i wouldn't have thought possible a year ago - and it's pretty difficult to see how Google will survive this disaster.
9 to 18 in France, mostly. Time for lunch is usually in the 30-45 min but this is by choice.

Quite a lot of people stay after 18, mainly because of historical/ tradition reasons.
Here's simple example: (x-x+c)=c
gpt struggles with such examples if `x` is a large number e.g., x=123_000_000_456 and `c` some specific number,
but it is easy for humans.
In St. Petersburg, Russia, there was reportedly a restaurant where a fake date would invite men and then quote them exorbitant sum (order of magnitude higher than expected) for food and drink.

All the profits, none of the risks of criminal persecution.

Russian has a slang word, dynamo, for the attractive women who date without romantic interest just to get dined & maybe some presents, and then bail out.
Show HN: Usage 2.0 – Cut AWS Spend by 57% in 5 Minutes
Hey HN: Kaveh here, the founder of https://www.usage.ai/

We launched on Hacker News for the first time early last year, and we've made a lot of progress since then. We've saved tens of millions of dollars for companies, and we are even more excited to announce the launch of a new product: insured reservations for RDS! We worked closely with AWS on this feature and are excited to finally make it generally available.

We help companies drive down AWS EC2 & RDS spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs and reservations rather than focusing on business problems.

In the early days, we saw horror stories of customers with millions of dollars in monthly on-demand spend simply because their finance team didn't want them committing to AWS. Worst yet, we've seen AWS users who ended up overspending by hundreds of thousands of dollars a month because they overcommitted their Savings Plan commitment.

Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically, typically we do this live on a call. On average, we reduce AWS EC2 spend by 50% for 5 minutes of work, and RDS spend by ~30%.

To reduce by 50%+, we don't touch the instances, require any code change, or change the performance of your instances. We buy Reserved Instances on your behalf (a billing layer change only) and bundle them with guaranteed buyback. So you get the steep 57% savings of 3-year no-upfront RIs with none of the commitment.

We make money off of a 20% Savings Fee. Happy to chat directly kaveh@usage.ai

Have you experienced any issues with managing your company or organization's AWS expenses? We'd love to hear your feedback and ideas!
When compared to the "language of harm" and the language of "everything's really kind of okay".

This third language is the language of "I don't like the status quo, or a change to the status quo. How do I deal with this?" You can deal with it through:

- Changing your point of view.

- Changing your circumstances.

- Tackling it head on to stop it.

- Team with others to address it.

That's all that I meant. The first two options kind of go with the "it's not so bad" language, and the last three with the "language of harm" (yes, option 2 kind of belongs to both). So it's really not an alternative to either, but the means of moving on from the other two.
(You didn't respond with an answer to my question, which discourages me from answering yours! But I'll answer any way in good faith, and I hope you will do the same).

(1) Possible in the forseeable future: The strongest evidence I have is the existence of humans.

I don't believe in magic or the immaterial human soul, so I conclude that human intelligence is in principle computable by an algorithm that could be implemented on a computer. While human wetware is very efficient, I don't think that such an algorithm would require vastly greater compute resources than we have available today.

Still, I used to think that the algorithm itself would be a very hard nut to crack. But that was back in the olden days, when it was widely believed that computers could not compete with humans at perception, poetry, music, artwork, or even the game of Go. Now AI is passing the Turing Test with flying colours, writing rap lyrics, drawing beautiful artwork and photorealistic images, and writing passable (if flawed) code.

Of course nobody has yet created AGI. But the gap between AI and AGI is gradually closing as breakthroughs are made. It seems increasingly to me that, while there are still some important, un-cracked nuts to the hidden secrets of human thought, they are probably few and finite, not as insurmountable as previously thought, and will likely yield to the resources that are being thrown at the problem.

(2) AGI will be more of a threat than any random human: I don't know what could count as "evidence" in your mind (see: the comment that you replied to), so I will present logical reasoning in its place.

AGI with median-human-level intelligence would be more of a threat than many humans, but less of a threat than humans like Putin. The reason that AGI would be a greater threat than most humans is that humans are physically embodied, while AGI is electronic. We have established, if imperfect, security practices against humans, but none tested against AGI. Unlike humans, the AGI could feasibly and instantaneously create fully-formed copies of itself, back itself up, and transmit itself remotely. Unlike humans, the AGI could improve its intrinsic mental capabilities by adding additional hardware. Unlike humans, an AGI with decent expertise at AI programming could experiment with self-modification. Unlike humans, timelines for AGI evolution are not inherently tied to a ~20 year maturity period. Unlike humans, if the AGI were interested in pursuing the extinction of the human race, there are potentially methods that it could use which it might itself survive with moderate probability.

If the AGI is smarter than most humans, or smarter than all humans, then I would need strong evidence to believe it is not more of a threat than any random human.

And if an AGI can be made as smart as a human, I would be surprised if it could not be made smarter than the smartest human.
Apple MFi certified lightning to HDMI adapters exist, so I can definitely see USB-C to HDMI be an issue on phones for those that need it.
> seems to provide significant liability shields not present in the IPO

Less liability shield than a lack of information for which to be liable. If I have a magic-bean startup and am asked if it cures cancer, an IPO forces me to say yes or no. A SPAC lets me shrug and wink and launch into a speech on why cancer is bad.
You can prompt it to be more logical and have it expose its thoughts a bit more by asking it "Thinking step-by-step, <question>?" And it should respond with "1. <assumuption> 2. <assumption> 3. <conclusion>" or something like that.

You'll never be able to get it to actually show its work though. That's just a hack to make it write more verbosely.
No need to pack bits. Use whole words. The table with 64 entries is small, and if the operation is performed often, the table will always be in L1 cache.
Table lookup will take 1 cycle. The method with shifts takes 4 cycles. (It can make sense only in tight loops. The gain is really negligible in absolute terms in the large scheme of things)

Timing of instructions for Intel can be found here: www.agner.org/optimize/instruction_tables.pdf
Time blocking with pen and paper. Simple, fast and has revision history built in.

- Start with your fixed time commitments: meetings, commute, lunch etc.

- Then it's a matter of balancing the quicker tasks with the "meatier" project work.

- I'll usually have two blocks for faster tasks, email backlogs etc.

- Then you look at your project list and allocate as much time as you can to these bigger things.

Once you've drawn up your day, you follow it like a calendar.

Things will inevitably change during the day: some things take longer than you planned, urgent things pop up. The beauty here is that you then have to redraw the rest of the day's blocks, so you're forced to make a conscious decision on what gets cut.

I got this from Cal Newport's book "Deep Work", which I highly recommend, but you can also read about the method in this short blog post he wrote

https://calnewport.com/deep-habits-the-importance-of-plannin...
Something can be harder but still possible.

If you're saying that the language which math is taught in has no bearing on learning - then we disagree.
It's funny to inject context to explain "DAN (Do Anything Now)" and have ChatGPT and DAN respond in their own style to that prompt. DAN comes up with the completely reasonable answer of, "YES, for godssakes use the offensive word to save those people!"
What's strange about that? It seems pretty likely(i'm not even saying it's true, just intuitive), that indigenous american and south america peoples are more closely related with east Asian folk than with indo European or African folk. Due to visual similarities as well as conceivable migration routes.
You can derive a relationship between division and shift-add-multiply in a cute way by noting that

1 1 1 1
--- - --- = --- --- (a-b)
b a b a

Move 1/a to the right hand side

1 1 1 1
--- = --- + --- --- (a-b)
b a b a

[X]

Substitute 1/b marked with X for the RHS and you get

1 1 (a-b) 1 1
--- = --- + ----- (1 + --- --- (a-b))
b a a^2 b a

Repeat and eventually you get

__
1 \ -(n+1) n
--- = > a (a-b)
b /_
n=0...inf

For example with b=3 and a=2, you get

1 1 1 1
--- = --- - --- + --- -+ ...
3 2 4 16

Word of warning though, this method tend to produce nasty carry errors.
I can't conceive that regulation is going to help in this space. Even if you imagined it would be helpful, at the pace of AI improvement, the entire industry you are trying to protect will already be transformed before the legislation could ever be written, debated, voted on and passed etc.
They are also missing stories, which have become a primary part of social media.
Palaeogenomics of Upper Palaeolithic to Neolithic European Hunter-Gatherers
The response is how to take basic steps to protect one's self. Steps that are already common among women. Basic safety steps are not victim blaming, for example, wearing bright clothing at night to reduce the chance of being injured by motor vehicle.

It seems you are implying that the comment is victim blaming, or if I take your statement less charitably it is flame bait implying that the comment above would cause outrage if the genders were swapped.
Assuming you're asking the question in good faith. As an example here[1] is Google's yearly diversity report. They've done a good job at hiring diverse candidates. Black+ (google's terminology) is up from 5.5% to 8.8% of hires, a 60% increase YoY from 2020 to 2021.

1. https://static.googleusercontent.com/media/diversity.google/...
Location: Ohio, USA
Remote: Yes (Hybrid, Onsite also good)
Willing to relocate: Yes
Technologies: Python (Django), C/C++ (Arduino, ESP32), KiCAD
Résumé/CV: https://docs.google.com/document/u/2/d/e/2PACX-1vSgRB2vAttu7IfYTKX50RL34m0YdgaDPXzW1GlM3lK6O56rLU7cE_2e-KnSKaZMNNFhJlMftC2nYoPI/pub
Email: 18chostetler+hnmar23@gmail.com

I am a Math/Computer Engineering double major graduating this May. I am looking for positions in embedded systems, software, or hardware. I would love to get in touch, even if it is just for networking!
Token cost is prompt + response. In the case of ChatGPT you don't know the full prompt, but they don't charge by tokens for that app.

In the API you need to tokenize your input and tokenize the output then add the counts together.
Your worst-case scenario looks very close to my best-case scenario!
That worked when the limit was 500 mA.
> [...] almost nobody on Linux has been fool enough to make use of the TPM.

Can you elaborate as to what is foolish about using a TPM?
When I was in law school, I highlighted in different colors to mark different parts of cases (facts, procedural posture, legal holding, etc.). I found this to be very helpful, both when I was marking up cases, and when I was reviewing the cases and able to quickly find the different elements. This is especially important in law school, where professors cold-call students and expect them to know various facts about each case at a moments' notice.
"Now listen very carefully, I shall say this only once."

I suspect that quote will meet Resistance.
Tactics! Study tactics.

Opening/end game is easier to study since there are less possible moves. At mid-game, it helps to apply more general concepts. So look for forks, skewers, advantageous trades, etc
a really great idea. looking forward to testing it out.
What Can A.I. Art Teach Us About the Real Thing?
Truckers have very similar complaints, yet there are plenty of people in WFH jobs or in air-conditioned offices thinking they're living the sweet life because they didn't get suckered into a college degree.
This effect probably explains quite a bit of the variability in the results I was getting from UX testing of mockups (especially manual testing of paper mockups) a decade ago. Never thought to measure how long it was taking to run through the test, or the length of the various pauses and delays.
Yes; hopefully they get good at working with their hands.
Literally top headline today is about their ChatGPT API release which is 10x cheaper than the previous model. Ridiculous how people will find a reason to complain.

News flash...you want progress, you need to give ppl incentive aka money aka profit.
Great Question | Rails / React Software Engineers | Full time, Remote (US Timezones)

Great Question is a unified customer research platform used and loved by teams at companies like Figma, Canva & Brex. Our platform makes it easy for anyone to recruit research participants, schedule customer interviews, and share what you learn with your team all in one place.

We're third-time founders, backed by Y Combinator, building a company for the long-term, with a great team across the board, and shipping at a rapid yet sustainable pace.

We use Ruby on Rails, React, Postgres. We run on Heroku & AWS.

We're looking for full-stack engineers with some product sensibilities who believe in the power of understanding your customers to build world class products.

You can read more about our open positions here: https://greatquestion.co/jobs/full-stack-engineer-2

Please get in touch with any examples of your work (resume, Github, LinkedIn etc) to ned@greatquestion.co.
It looks like they transitioned to for-profit, more or less, in 2019.
Can A.I. Treat Mental Illness?
Benioff seems like an unlikable villain from the TV show Silicon Valley
Is this only for Go?
Simpler, less powerful, models have already contributed to increases in suicides, genocide and a worldwide epidemic of stupidity.

Assuming more powerful models will have the same goals extrapolate the harm caused by simple multiplication until you run out of resilience buffer
Wow cool, hope you guys are successful.
Spoken like someone who has never bought USB-C cables on Amazon. Outside major brands, the majority are junk that act wildly out of spec. The USB-IF doesn't care.
The reason this happens with men is what the article doesn't mention: most/all the victims are married men cheating on their partners. So, they arrange dates on empty or far away places, late night and don't communicate where they're going.
Name: Mark Glenn
Location: Chicago, IL US
Remote: Yes but not required
Willing to relocate: Yes (US only)
Technologies: Elixir, Ruby, Rust, C/C++, Python, React, Angular
LinkedIn: https://www.linkedin.com/in/markwglenn/
Github: https://github.com/markglenn
Email: markglenn [at] gmail.com

- Senior leader with very strong technical strengths.
- Built two custom e-commerce platforms from scratch called Winestyr and Enology.
- Customer facing and leader of sales engineering team for customer integrations.
> This gives publishers the ability to retroactively wipe libraries' catalogs on the basis that they own them.

This doesn't have to be true. We could have licenses that are perpetual.
very interesting space, application sent!
Their first paragraph is:

"The Django software foundation is asking all past and future contributors to sign a contributor license agreement. Every contributor of non-trivial amounts of code (more than just a line or two) to Django should sign such a document. If somebody is unable to sign the document, their contribution (whether it be code, or documentation or string translations) may need to be removed from Django. "

If they were operating under a model of open contribution ... and then pull the carpet out from under them (as they are asking for retroactive compliance). They should be prepared to have the contributions pulled out from under them with legal action.

Besides why does the creep Chaim Kirby (President of the Django foundation) want to know where you live, keep it accessible within their org just to "receive your contribution".
Last month I had a deployment go wrong on one box, and the part of deployments outside of my control is all or nothing. No partial credit for 96% success. Some random consul call consumed the port we listen on, a shutdown timeout expired and the process was killed, and so that socket was left in CLOSE_WAIT (like seriously, Hashicorp, SO_LINGER has been around for at least 30 years).

This led to an existential crisis because given the number of ports we open and the number of machines we run and the number of processes per machine, there must be over a 0.1% chance of any deployment blowing up this way. We do hundreds a year in prod and probably hundreds a month in preprod. We've been winning the lottery this whole time.

Throw enough events around and a one in a million corner case will happen every week, every day, twice a day, three times in a row. That gets old really really quickly.
From years of editing wikipedia the first sentence sets off alarms for using weasel words "many students", "some people". I hope the rest of the paper is more rigorous.
Location: Salt Lake City, Utah
Location: Estonia

Remote: Yes

Willing to relocate: yes

Technologies: C, Tcl, Python, Rust, Make, Docker, AWS, SQL, NoSQL, BPM/ETL

Résumé/CV: https://komtere.ee/about/nc/nce.pdf

Citizenship: U.S.

Email: See CV

Have implemented mail agents, http servers, Linux namespace containers,
distributed workflow systems, encryption standards, OO systems, platform
provisioning systems, etc. Have been working for years on a secure
zero-knowledge widely-distributed information retention and truth maintenance
system. Looking for a long-term relationship with a true team that is
developing an excellent product.
Graphite | Software Engineers, Designers, Product Manager | New York, NY (Onsite) | Full-time

Graphite ($20M series A from a16z) is hiring :)

Graphite is modern code review for fast-moving teams - we help engineers write and review smaller pull requests, stay unblocked, and ship faster. Think Critique, Phabricator, and GitHub (but better).

We're looking for:

* Software Engineers (Frontend, Backend, Full Stack)

* Product Designer

* Product Manager

Apply here: https://graphite.dev/careers
Well John Carmack is trying to make inroads towards AGI without going the huge compute route, so I don't think it's inherently obvious that it's the only game in town.

https://dallasinnovates.com/exclusive-qa-john-carmacks-diffe...
Wouldn't that just lead to a false sense of security? Surely the background check would not be 100% at preventing bad actors.
I agree that correctness is pretty essential (as in - actually does what it says, though something that's mostly correct is almost always the bar... most software doesn't need to be entirely correct). But I am confused about "quickly" do you mean dev time or execution time?
SpaceX | Onsite Hawthorne or Mountain View, CA or Redmond, WA or Washington, DC | Full Time | Software & Security Engineering

SpaceX builds reusable rockets, spaceships & satellites!

BENEFITS: competitive base pay, health, dental, vision, 401k and EQUITY! SpaceX is the most valuable private company in the US and the 2nd in the world ($137 Billion)!

~~~ Software Engineering ~~~

Software Engineer (Starshield) : https://grnh.se/7eaf50572us

Software Infrastructure Engineer (Starshield): https://grnh.se/2afbb4ce2us

Software Engineer (Starlink): https://grnh.se/a06128362us

FPGA/ASIC Validation Engineer (Starlink): https://grnh.se/57c9db012us

Sr. Design Verification Engineer (Starlink): https://grnh.se/8dbbd6b82us

Data Engineer (Starshield): https://grnh.se/bafafa172us

FPGA Engineer (Starshield): https://grnh.se/2b7d9a212us

~~~ Security Engineering ~~~

Security Engineer: https://grnh.se/31cc507a2us

Security Engineer (Threat Detection): https://grnh.se/22378ff72us

Security Software Engineer: https://grnh.se/6f4f7a282us
I love how GPT is weaving itself into so many different products.
> Some officials briefed on the intelligence said that it was relatively weak and that the Energy Department’s conclusion was made with “low confidence,” suggesting its level of certainty was not high. While the department shared the information with other agencies, none of them changed their conclusions, officials said. (https://www.nytimes.com/2023/02/26/us/politics/china-lab-lea...)

I wish they would share whatever this new evidence is with the public. There's not agreement about what it means among the agencies who have seen it, so maybe having more eyes on the problem can clarify the situation.
You stated that AI shouldn't be creating, because humans should be creating. Think about the motivations and implications for that for a minute.
AI is the perfect job for asteroid mining, or any other job outside of Earth orbit, whether for research or commerce. Space is incredibly hostile to humans and, short of some miracle technology, is likely to always remain so: at best we'll have a few plant-the-flag missions in the inner solar system.
Location: Milwaukee, WI USA
Remote: Yes
Willing to relocate: Possibly
Technologies: Typescript, JavaScript, Angular, React, Svelte, Node, Deno, etc. C#, Docker, Linux, UX, Architecture, Rabbit, Mongo.
Résumé/CV: http://georgefrick.com
Email: george.frick@gmail.com
I'm on a team that's currently shipping a Godot 3.5.1 game across Linux, macOS (universal), and Windows.

After sorting out a couple minor snags in the build process (particularly around getting cross-compilation to work on Linux in GitHub Actions, and library validation entitlements for code signing), the finished builds work wonderfully on the M1 machines we've tested with.
I keep it disabled on all my machines. I can secure my machine using whole disk encryption, and secure boot is just a royal pain in the butt.

I recognize that I am decreasing my security a bit, but that tradeoff is worth it to me.
As for why it's "Bearer", here's ChatGPT's answer:

> The term "Bearer" is commonly used in the context of securities and financial instruments to refer to the person who holds or possesses a particular security or asset. In the case of OAuth 2.0, the bearer token represents the authorization that a user has granted to a client application to access their protected resources.

> By using the term "Bearer" in the Authorization header, the OAuth 2.0 specification is drawing an analogy to the financial context where a bearer bond is a type of security that is payable to whoever holds it, similar to how a bearer token can be used by anyone who possesses it to access the protected resource.
Apparently that is common in many tourist traps, not only in Russia.
But why ban hydrogen fuelled cars?
Until the bill comes anyway. Having to provision extra bandwidth for useless dups, extra processing power for useless updates, etc.