skysight-inc/HackerNews huggingface dataset:
Ask HN: Is GoDaddy falsifying WHOIS records for Aquarium.tv?
Following up on this submission. I used the example of "Smell.tv" in that post, the one I'm actually looking for is Aquarium.tv. Who cares. Snipe it from me if you want, I'm probably not buying it after all this anyway. https://news.ycombinator.com/item?id=41393638

HN, help me out here: *Is Aquarium.tv registered or not*? Because the NIC.tv WHOIS service operated by GoDaddy says it's a "Reserved Domain Name", but GoDaddy's Domain Broker Service says it's owned by a "third party". Those things can't both be true, right?

Anyway, here's the letter I just sent to Tuvalu. Who knows if anything will come of it. I don't think they have much of a staff.

> To whom it may concern at the Godaddy Registry and the Tuvalu Ministry of Justice, Communications and Foreign Affairs,

> I'm writing to express a concern about the inaccuracy of WHOIS data returned by the .tv registry. For the last few weeks, I have been making inquiries about the purchase of the domain Aquarium.tv. (You see, I'm running a company at Aquareum.tv, and lots of people are likely to type the name in the other way.) A WHOIS lookup performed at https://whois.nic.tv/ returns the following response for that domain:

> Reserved Domain Name

> This response is generally used to indicate that a domain is reserved by the registry — in this case, either GoDaddy or Tuvalu MJCFA — either permanently or as a "Premium" name to be sold at a higher price. So far, there's nothing unusual happening.

> However, I recently paid GoDaddy $119.99 for their Domain Broker Service for the domain anyway, to see if anything could be done. [Redacted] at GoDaddy has informed me that the owner of the domain is a "third party completely separate from us", and that they would be willing to sell me the domain for $10,000 USD. Now we have hit a contradiction. Aquarium.tv cannot be a "Reserved Domain Name" and owned by a "third party" at the same time. Which is it? *Is Aquarium.tv registered or not?*

> My concern is from the outside, it generates the appearance that GoDaddy themselves is reserving this domain name, while fraudulently claiming that a third party owns it for the purpose of selling it at a higher price. But I'm sure there's an innocent explanation — perhaps the WHOIS data is just inaccurate for some reason?

> Thank you for your time,
> Eli Mallon
> How did enough birds survive post-impact in order for them to still exist, if their ‘air sack’ lungs are so sensitive to air quality?

The k-pg extinction was instant in a geologic sense, but in terms of individual animals it felt more like a slow decline. It took a few thousand years for the whole thing to happen[1]. With effects lasting into the 500,000 year range.

For most birds the air pollution was similar to what you see from large forest fires. Even when skies were orange in San Francisco a few years ago, birds weren't dropping dead. High AQI kills slowly, if you (or a bird) are not inhaling smoke directly.

But yes every bird within a few thousand kilometers of the impact site probably died instantly. Most birds and other animals were not within that radius.

[1] https://en.wikipedia.org/wiki/Cretaceous%E2%80%93Paleogene_e...
We’ll see if this is a good idea when we start having millions of lines of LLM-written legacy code. My experience maintaining such code so far has been very bad: accidentally quadratic algorithms; subtly wrong code that looks right; and un-idiomatic use of programming language features.
FBI Infographic Re Lawful Access to Secure Messaging Apps Data (2021)
I definitely can see that, I rarely change my solder iron temp too but the biggest issue is that I purposely do not keep my phone or laptop within reach where I solder. I still use lead solder and I don’t want to accidentally rub off any. Seems like a huge pain to wash my hand, get my laptop, change temp, then continue. But like you mentioned, I probably haven’t changed the temp on my iron in a while, ironically the last time I changed it was because I used silver solder.
same...but have you considered the broader implications of relying on LLMs to generate code? It's not just about being a 'force accelerator' for individual programmers, but also about the potential impact on the industry as a whole.

If LLMs can generate high-quality code with minimal human input, what does that mean for the wages and job security of programmers? Will companies start to rely more heavily on AI-generated code, and less on human developers? It's not hard to imagine a future where LLMs are used to drive down programming costs, and human developers are relegated to maintenance and debugging work.

I'm not saying that's necessarily a bad thing, but it's definitely something that needs to be considered. As someone who's enthusiastic about the potential of code gen this O1 reasoning capability is going to make big changes.

do you think you'll be willing to take a pay cut when your employer realizes they can get similar results from a machine in a few seconds?
Apple AirPods Pro granted FDA approval to serve as hearing aids
Ok. My comment wasn't even promoting e-bikes over electric cars. I have an electric car. I use it daily and use it to get me around more than my ebike. But if someone lives somewhere in the world off of a much tinier budget and they can use something like a bike/motorcycle/cart that is electric powered over a much dirtier gas engine, then that's something they should consider.
I completely agree and love buttons and knobs. In this case, we didn't think the setting was necessary at all. It's very rare that you need to change the soldering temperature. We found that most of the reasons that people historically change their setting is because their iron isn't responsive enough to the actual workload.

With 100 Watts of power and an ultra-fast response time, you can flow the joules that you actually need into the material at the temperature you set.

Give it a try! If you still feel like you need a temperature knob, we'll refund your purchase.

https://www.youtube.com/watch?v=30LOTlQ3Cc8
Depends on how OpenAI prices it.

Given the need for chain-of-thoughts, and that would be budgeted as output, the new model will not be cheap nor fast.

EDIT: Pricing is out and it is definitely not teneable unless you really really have a use case for it.
Sure, but if I want a human, I can hire a human. Humans also do many other things I don't want my LLM to do.
> "o1 models are currently in beta - The o1 models are currently in beta with limited features. Access is limited to developers in tier 5 (check your usage tier here), with low rate limits (20 RPM). We are working on adding more features, increasing rate limits, and expanding access to more developers in the coming weeks!"

https://platform.openai.com/docs/guides/rate-limits/usage-ti...
Exactly. I feel the same way. After lot of research, I settled on Whimsical for doing mockups/wireframes. Good Balance between Simplicity and Power. Only complain is clickable prototyping which is not available. If they add that, I would never leave Whimsical for prototyping.
Pop!_OS 24.04 and new COSMIC desktop reach alpha
We didn't lock down the firmware on the Power Station, so go right ahead!
Just use Elixir... it's a better language overall.
> 30 messages per week
> How do you define single creator?

The creators define how many creators there were.

It's all open source and anyone can fix any mistakes by updating one line (for example, here's the creators entry for Python: https://github.com/breck7/pldb/blob/b8ae74253733e4aa0fb57d26...).

We generally don't have any disputes but there's the occasional error and always open to pull requests to fix those.

But you do bring up a good point about contributors/maintainers. Adding that data is definitely on the priority list, but might be a 2025/2026 thing.
And nothing will happen to City.

The league itself is very powerless - it's not like the NFL. The Premier League as a corporate organization is effectively a marketing agency that collectivizes revenue from TV deals and distributes it to clubs, and also organizes matches/fixtures, and deals with the referee's union. That's it. I recall reading a book about the league itself, and the league office is like 30 people. Very small compared to the NFL which has a corporate office of several hundred people. FIFA and CAS handle all the real problems between clubs, federations, and players.

Man City has unlimited funds and several entire law firms on its side. While they are guilty as sin, they have oil money. The league does not.
ah i see so you're saying that LLM-written code is already showing signs of being a maintenance nightmare, and that's a reason to be skeptical about its adoption. But isn't that just a classic case of 'we've always done it this way' thinking?

legacy code is a problem regardless of who wrote it. Humans have been writing suboptimal, hard-to-maintain code for decades. At least with LLMs, we have the opportunity to design and implement better coding standards and review processes from the start.

let's be real, most of the code written by humans is not exactly a paragon of elegance and maintainability either. I've seen my fair share of 'accidentally quadratic algorithms' and 'subtly wrong code that looks right' written by humans. At least with LLMs, we can identify and address these issues more systematically.

As for 'un-idiomatic use of programming language features', isn't that just a matter of training the LLM on a more diverse set of coding styles and idioms? It's not like humans have a monopoly on good coding practices.

So, instead of throwing up our hands, why not try to address these issues head-on and see if we can create a better future for software development?
It’s definitely the case that there are some programming workflows where LLMs aren’t useful. But I can say with certainty that there are many where they have become incredibly useful recently. The difference between even GPT-4 last year and C3.5/GPT-4o this year is profound.

I recently wrote a complex web frontend for a tool I’ve been building with Cursor/Claude and I wrote maybe 10% of the code; the rest with broad instructions. Had I done it all myself (or even with GitHub Copilot only) it would have taken 5 times longer. You can say this isn’t the most complex task on the planet, but it’s real work, and it matters a lot! So for increasingly many, regardless of your personal experience, these things have gone far beyond “useful toy”.
> THERE ARE THREE R'S IN STRAWBERRY

Ha! This is a nice easteregg.
Being fair, the code flow can be done on the client. And it does protect from most of the URL sniffing attacks that are there for the implicit flow. It just feels weird to still be doing all of that from the client.
Are you sure? That's one of the brands that appears in the "compatible with 90% of bikes" rotating gif.
That will confuse screen/tmux which needs to distinguish between escape codes and a press of the escape key.
More like you will need to dip into your 401k fund early to pay for it after they raise the prices.
So, if you scroll through LinkedIn, you can see an influx of leadership migrating into WotC from Amazon.

These are folk who have never even played Dungeons & Dragons, looking to monetize and assuming they know how an internet marketplace works because they're from Amazon, not understanding that fan goodwill is what keeps your cash cow alive.
In a way it's not surprising that people are getting vastly different results out of LLMs. People have different skill levels when it comes to using even Google. An LLM has a vastly bigger input space.
you are right i read the charts wrong. O1 has significant lead over GPT-4o in the zero shot examples

honestly im spooked
you want instructions on how to compete with OpenAI?

go play more, your priorities and focus on it being work are making you think this to be harder than it is, and the models can even tell you this.

you don’t have to like the answer, but take it seriously, and you might come back and like it quite a bit.

you have to have patience because you likely wont have scale - but it is not just patience with the response time.
I work on the work. I work on the thing I am trying to avoid by pretending analysis is the work. Working on the work surfaces actual problems.

There are no special rules for founders. Hard work and experience are the only shortcuts and experience with the only comes through working on the work.

Thinking about analysis paralysis is easier than making mistakes. Go make some mistakes. Good luck.
Maybe yes.

If you give it phrases from, say, the last five years' worth of published research papers, and it combines phrases at random and spits out the words, yes, in that there will be some interesting research ideas, and maybe even some that a human would not have come up with.

Unfortunately, they'll be buried in a blizzard of stuff that no human would come up with, because they are totally meaningless combinations. Finding the good ones is the issue - and it's not an issue that LLMs can currently solve.
DefusedXML is an amazing piece of code.

This being said, many of the mitigations it enables are now also available by default in many “standard” libraries. For example, bandit will often tell you to not use lxml in Python, but instead use defusedxml. However, modern versions don’t suffer the same issues at all, and this is a case where automatically following the advice of the linter/SCA is not a great idea.
The generated chain of thought for their example is incredibly long! The style is kind of similar to how a human might reason, but it's also redundant and messy at various points. I hope future models will be able to optimize this further, otherwise it'll lead to exponential increases in cost.
Great Essays About Biology
I also didn’t understand why wired headphones don’t work besides profit protection. Suppose that having to hold the phone mics forward is clumsy but would like to have the option.
At this point, you're either saying "I don't understand how to prompt them" or "I'm a Luddite". They are useful, here to stay, and only getting better.
Are we ready yet to admit Turing test has been passed?
What's a sample prompt that you've used? Every time I've tried to use one for programming, they invent APIs that don't exist (but sound like they might) or fail to produce something that does what it says it does.
Very interesting. I guess this is the strawberry model that was rumoured.

I am a bit surprised that this does not beat GPT-4o for personal writing tasks. My expectations would be that a model that is better at one thing is better across the board. But I suppose writing is not a task that generally requires "reasoning steps", and may also be difficult to evaluate objectively.
Of course, brute forcing a solution by verifying a massive amount of garbage is much less efficient than doing it from scratch.

Verification becomes more productive than sythesis only when the probability of generated content being correct is significantly high. So I suppose, as AI gets more accurate, verification will become more productive.

I'm in a peculiar position with Bing AI. My work provided me an enterprise account, so I can use it for work-related tasks. Often I find myself asking it to write a program for something I don't wanna do myself from scratch, then I just analyze it, see why it doesn't work and fix it. It has got to a point where it's much faster for me to do that, than to read the relevant documentation and figure out how to do it from scratch.
I can tell the difference if I'm looking for it on PS5/65"TV but I tend to set it to fidelity for the first session for that "wow" factor on a new game, then I switch to performance.

If I'm into a game, I'm only really going to notice in the cutscenes anyway after I've played for a bit. It looks pretty good anyway, and I'd be much more annoyed by high input lag and low frame rates/stuttering than slightly lower visual fidelity.
Exactly. The modern take is to try and compare the US to Pre-WW2 Germany.
But really the entire Globe is more like pre-WW1 so something like Ukraine or Gaza is the flame to start the bomb fire.
Microsoft hires former GE CFO Carolina Dybeck Happe as new operating chief
Reading through the Chain of Thought for the provided Cipher example (go to the example, click "Show Chain of Thought") is kind of crazy...it literally spells out every thinking step that someone would go through mentally in their head to figure out the cipher (even useless ones like "Hmm"!). It really seems like slowing down and writing down the logic it's using and reasoning over that makes it better at logic, similar to how you're taught to do so in school.
Using Flox to Create Portable, Reproducible Python Environments
Pricing page updated for O1 API costs.

https://openai.com/api/pricing/

$15.00 / 1M input tokens
$60.00 / 1M output tokens

For o1 preview

Approx 3x the price of gpt4o.

o1-mini
$3.00 / 1M input tokens
$12.00 / 1M output tokens

About 60% of the cost of gpt4o. Much more expensive than gpt4o-mini.

Curious on the performance/tokens per second for these new massive models.
If you think Das Kapital is scientific work, you will have no problem providing a reference to any successful society or a company following the principles from it.
Maybe it will work out, but I think we’ll regret this experiment because it’s the wrong sort of “force accelerator”: writing tons of code that should be abstracted rather than just dumped out literally has always caused the worst messes I’ve seen.
Nvidia stock go brrr...
BUG: https://openai.com/index/reasoning-in-gpt/

> o1 models are currently in beta - The o1 models are currently in beta with limited features. Access is limited to developers in tier 5 (check your usage tier here), with low rate limits (20 RPM). We are working on adding more features, increasing rate limits, and expanding access to more developers in the coming weeks!

https://platform.openai.com/docs/guides/reasoning/reasoning
The number of tech job postings has tanked - which loosely correlates with the rise of AI.

https://x.com/catalinmpit/status/1831768926746734984
That's not what "zero shot" means.
You're not using generator syntax anywhere in that example.
The open source/weights models so far have proved that openAI doesn't have some special magic sauce. I m confident we ll soon have a model from Meta or others that s close to this level of reasoning. [Also consider that some of their top researchers have departed]

On a cursory look, it looks like the chain of thought is a long series of chains of thought balanced on each step, with a small backtracking added whenever a negative result occurs, sort of like solving a maze.
Who are you saying shared what data with whom?
Not yet, neither in the API nor chat.
That's good to know. The company I work for currently uses Rippling; I will mention this upcoming change and suggest that we should consider switching to Gusto.
It’s undeniably less impressive than a human on the same task, but who cares at the end of the day? It can do 10,000 attempts in the time a person can do 1. Obviously improving that ratio will help for any number of reasons, but if you have a computer that can do a task in 5 minutes that will take a human 3 hours, it doesn’t necessarily matter very much how you got there.
I would say that the evolution of React has slowed down and build tools are in a state of consolidation. Compare development with the abandoned CRA to Vite.

I felt that way about front end end work when I got a FT job working on a React system about 5 years ago but now I don’t feel overwhelmed at all.

The way people talk about it is intimidating though. The average person who wants to make a modern blog should probably host it in Azure or AWS object storage with a generator like Hugo or Pelican. Hugo in particular is zero bullshit if you don’t need to customize it, it is just a simple binary that doesn’t require you to learn anything about go or how people resolve dependencies in go or go build systems. I picked Pelican because it is written in Python and I know I can make it do whatever I want. When I send people to

https://jamstack.org/generators/

It is like waving a red flag in front of a bull in terms of eliciting the reaction of feeling overwhelmed.
Thats a pretty nice thing to have!

Thanks for sharing this.
This is a Firefox problem, not an iFixit problem.
2018 - gpt1

2019 - gpt2

2020 - gpt3

2022 - gpt3.5

2023 - gpt4

2023 - gpt4-turbo

2024 - gpt-4o

2024 - o1

Did OpenAI hire Google's product marketing team in recent years?
The sooner those paths are closed for low-effort high-pay jobs, the better, IMO. All this money for no work is going to our heads.

It's time to learn some real math and science, the era of regurgitating UI templates is over.
I like the idea and congratulations on good docs.

Two questions:

1. Do you support client certificates for authenticating clients?
2. Do you have some performance benchmarks?
with that said it’s quite easy to write an equivalent- https://github.com/redwood/redwood/blob/develop/utils/mailbo...
I think this study really just shows that the value of practice problems is the practice.
There have been several popular cars available in the US and EU with this design, like the Chevy Volt and BMW i3.
I do - I now have a "More models" option where I can select 01-preview
PBS Nova recently had a great episode about the islands and its people [1]

[1] https://www.pbs.org/wgbh/nova/video/easter-island-origins/
Wasn't this the model that was proven to have been faking their benchmarks recently? Or am I thinking of a different model?
I'm talking about web interface, not API. Should be available now, since they said "immediate release".
Ah I had a similar one (nobody as high profile as G ofcourse). But I can attest sitting in those interview committee meetings trying to point out these biases against such candidates only to be disappointed! Well atleast you went to do bigger and better things mate!
GPT-4 came out in March 2023, after most of this drop was already finished.
If I pay for the chain of thought, I want to see the chain of thought. Simple. How would I know if it happened at all? Trust OpenAI? LOL
transformer based omnimodel is my guess
But I'd argue two points here. First, the average American household spends approximately $5k a year on gasoline [0]. That's still quite a lot of gasoline burned up. Add to that another ~$1k of natural gas the average household is burning up every year. I don't really call that small consumption. On a worldwide scale, each of these American households is burning up way more fossil fuels than the bottom 50%+. THEY ARE the rich of the world. But my second point is that switching to an EV and heat pumps (HVAC, dryers, water heaters) and induction (or electric) stoves are actually an improvement over their fossil fuel burning counterparts, either by ROI, function, or most likely, both.

[0] https://www.jdpower.com/cars/shopping-guides/how-much-do-peo....
> it's gotten ~10,000 times easier to write software than in the 1950s

It seems many of the popular tools want to make writing software harder than in the 2010s, though. Perhaps their stewards believe that if they keep making things more and more unnecessarily complicated, LLMs won't be able to keep up?
And also with a large increase in interest rates.
Read "immediate" in "immediate use" in the same way as "open" in "OpenAI".
We're not going to give you training data... for a better user experience.
Seriously. I'm not saying that Elon would move SpaceX - but Tweeting loudly about the possibility feels like an obvious, in-character tactic to pressure the FAA.