skysight-inc/HackerNews huggingface dataset:
> The same gravity that wants to pull you in keeps you in orbit

I would say it's your velocity that keeps you in orbit. Without the velocity, you fall into the star. Without the star's gravity, you keep going away in a straight line. Any object we launch starts off with Earth's velocity.
Ugh, yeah, that update.

You didn't have to do anything, either, the update just instantly corrupted some 2FAs. How can an app not do a TOTP? It's literally just math.

I had to recover a few MFAs from backup codes due to that.
$0, not 0 on the wheel.
I've only seen it in photos, but to me it looks like the kind of place where a dystopian military dictatorship tortures its political prisoners. Or maybe like one of the army base levels from the original Quake, with its blocky polygons. I do see a certain charm in its architecture if I let myself enjoy the absurdity of it, but it does not seem fun to walk through all the useless empty space in front of it on a windy day with this thing looming over you.
Planing has been bad, but those smart meters can use 2G/EDGE. The meters using mobile networks use O2, which should keep 2G online until the 2030s.

3G is being discontinued first because it uses more power and is inefficient for data. 2G on the other hand uses less power, allows phones without VoLTE support to make calls, and IoT devices to use (slow) data. Over the next year or so we should see networks restricting data over 2G/EDGE for regular devices (calls only), keeping the data side just for IoT.
They actually did that the last time when they showed the apps integration. First try in Xcode didn't work.
Neat!

Your pricing + testimonial link seems broken.
With 4.7B, maybe they'll learn how to make a product that doesn't break down in the first year.
There's typically a substantial difference between performing at a level below the highest-rated team member and performing at a level below team expectations.
They can't because some people have a block in their thinking process that prevents them from rationally contemplating any thought that goes against their own prejudices.

They'll scream CALORIES IN CALORIES OUT until they die from apoplectic rage rather than accept any concept that considers that there are more fine-grained factors at play in weight loss.

Saying CICO is the only thing that matters is like saying "Apples fall from trees because of gravity" is the grand unified theory of the universe.
Was it a dishwasher? Just give it all your unclean dishes and tell it to go, come back an hour later and they all washed and mostly dried!
Nobody is getting california salaries in rural UK though...
What if one autopay blocks another?
I must be the only person in the UK that has had an abysmal experience with Octopus, where they gave me a quote in writing, I attempted to sign up for it, couldn't due to "technical difficulties" on their end but got another email promising that the quote will be honoured once the difficulties are resolved....and of course once they finally fixed their system a month later they refused to honour it. I kept forwarding copies of emails they sent higher and higher up and finally was assigned a "senior customer agent" who basically said their decision is final and I can take them to an ombudsman if I want to. Then they couldn't bill me correctly for 6 months straight because no one knew why my smart meter wasn't sending them data, and then another time they literally provided incorrect information about my IHD when I asked why is the price for my tariff wrong. They are an absolutely useless company and I'd switch in a heartbeat if there was anyone else with a similar offering for charging EVs, no one else gets even close.
There is a benchmark, NovelQA, that LLMs don't dominate when it feels like they should. The benchmark is to read a novel and answer questions about it.

LLMs are below human evaluation, as I last looked, but it doesn't get much attention.

Once it is passed, I'd like to see one that is solving the mystery in a mystery book right before it's revealed.

We'd need unpublished mystery novels to use for that benchmark, but I think it gets at what I think of as reasoning.

https://novelqa.github.io/
No expert but there is segmentation in terms of network costs to generators (tnuos), which come out of the CFD generators are awarded, so while bill payers have a single cost the utilities that generate their power do feel the effect of where they build their plant.
Verifier is trained with soft values of reward-to-go for each solution-prefix, obtained from monte-carlo rollouts of step-by-step solutions sampled from the "base" model.

In other words: 1) sample step-by-step solutions from "base" model; 2) do it at non-zero temperature so that you can get multiple continuation from each solution-prefix; 3) use MATH-labels to decide if full solution (leaf/terminal node in MC rolloout) has reward `1` or `0`; 4) roll up these rewards to calculate reward-to-go for each intermediate step.

Yes, verifier trained in this manner can be used to score solution-prefixes (as a process verifier) or a full-solution (as an outcome verifier).

In the original paper (https://arxiv.org/abs/2408.03314) they fine-tune a fresh verifier. HF's replication uses an off-the-shelf verifier based on another paper: https://arxiv.org/abs/2312.08935
Same, I don’t really get the excitement. None of these companies are pushing for a utopian Star Trek society either with that power.
You can tell your bank to not approve overdrafts, at least in the states. They word it real weirdly at the bank, but you want to opt-out of the "overdraft protection" (the protection letting you purchase things you don't have money for).
Isn’t it just DOM translated?
Two heads is better than 1. 10 is way better. Even if they aren't a field of experts. You're bound to get random people that remember random stuff from high school, college, work, and life in general, allowing them to piece together a solution.
Aside from Apple, I'm not sure anyone involved in this 7-year trainwreck gained anything.
I didn’t, and didn’t even know those behaviors. Discovered two staple of LGBT humour that are great, hope it doesn’t sound rambling for those who know it:

Question: What does a lesbian bring on a second date?
Answer: A U-Haul.

——

Question: What does a gay man bring on a second date?
Answer: What second date
of course before implementing this I log all IPs and verify that we don't have any legitimate traffic coming from non-US IPs. and whitelisting a few IPs isn't a big deal. Of course a medium sized manufacturing company in the Midwest isn't going to have much need for people connecting to use outside the US.

I'm actually working to get rid of any public IPs that isn't a VPN access point.
> I think it's kind of funny how some people get confused about the fact that there are many reasons to listen to many kinds of music.

It has always boggled my mind that this point seems to be lost on every music streaming service.
Given your descriptions, the bottom line is over the last few years across many corporate environments many people were put into roles in which they will either sink or swim. Let them sink and do your best work despite this in the meantime. Upper management and execs made this decision for cost cutting reasons. Many of the senior and more competent people you'd expect in these roles either voluntarily left or were nudged into retirement. Don't let anyone pull the wool over your eyes on this. You're not the only one asking this question lately.

Also don't buy into the gaslighting answers being given here that smart people should put up with this crap and just learn to "communicate better". You can't fix stupid. It's not your fault. Every time they pull this one out it's just blame shifting. It's true nobody will ever have the same strengths, but I know what you're talking about in your question, and these gaps are massive lately.

Anyway, I think the answer to this really depends on what your relationship to the incompetent coworker is. What has worked for me is to not lose cool and document everything you're asked to do so you're always ready to shut down the blame game. Show evidence you're doing these tasks according to requirements with detailed commit messages that link back to your assigned tasks. When asked why higher level outcomes aren't being met you can rattle off as many details as you need until they're tired of hearing about it. Assuming your own branch of management is still competent and hasn't been entirely hollowed out they should be able to go to bat for you.

If not, yeah sorry life isn't always fair and you probably want to find another job. This is a huge growth moment for people currently working and I have faith overall this too shall pass and we'll all be better at our jobs at the end of this. Not everyone will make the cut and good riddance. I'm sure you'll be fine since you're smart enough to ask this, but at least know that we're all stressed out and you're not alone.
Ask HN: Handling Two Identical Resumes?
Two candidates with genericish names apply for our open SWE role through Indeed.

The resumes are nearly identical resumes, and I mean IDENTICAL.

Exact same words used to describe past projects, exact same skills listed, and the same most recent position.

There are slight differences. They attended different universities, supposedly. One worked at Redfin and the other Amazon, but both "Collaborated on Amazon's internal resource management platforms."

The resumes list the candidates' LinkedIn profiles, and both are active profiles with connections and the resume matches the profile info. Both email addresses are valid and match the name (i.e. "JohnDoe382@gmail.com")

We did a phone screen call with the first of these candidates. He appears to be a fraud. His interviewer left this feedback: "I'm pretty sure they were using GPT for the interview. The answers that he was reading off the screen made no sense, and he left the call abruptly after 15 minutes."

Should we auto-reject the second candidate? What is going on here? I feel that we're being set up for some kind of scam.
Both GitHub and GitLab have killed http basic auth https://docs.github.com/en/rest/authentication/authenticatin... https://docs.gitlab.com/ee/topics/git/troubleshooting_git.ht...

That's not to say one couldn't still do what you're describing via other headers, I'm just saying "<input name=username><input name=password>" won't get it done
I think you've misunderstood my point. I wasn't discussing personal choice in definitions - honey is objectively an animal product, produced by bees. This isn't about how people choose to classify things, but rather about factual reality. Similarly, "each to their own" becomes problematic when there are victims involved - it's not merely a personal choice when it affects others' wellbeing.
Because they're designed for demand side load shedding.

Also to enable "surge pricing" such that folks ration of disconnect themselves, rather than pay the surge price.

Other than that, they don't really have a benefit for the user, the details one variable use could simply be monitored by manual reading on a weekly basis.
The Five Demons of Python Packaging That Fuel Our Persistent Nightmare:
https://youtu.be/qA7NVwmx3gw?si=QbchrYvCEp8aazvL
> I’m super curious as to whether this technology completely destroys the middle class, or if everyone becomes better off because productivity is going to skyrocket.

Even if productivity skyrockets, why would anyone assume the dividends would be shared with the "destroy[ed] middle class"?

All indications will be this will end up like the China Shock: "I lost my middle class job, and all I got was the opportunity to buy flimsy pieces of crap from a dollar store." America lacks the ideological foundations for any other result, and the coming economic changes will likely make building those foundations even more difficult if not impossible.
> They've been promising us this thing since the 60s: End-user development, 5GLs, etc. enabling the average Joe to develop sophisticated apps in minimal time. And it never arrives.

This has literally already arrived. Average Joes are writing software using LLMs right now.
Monthly as others have said.

900 is a small household with limited heating, more like a condo than house.
> The challenge of understanding how quarks are bound inside exotic hadrons is the greatest outstanding question in hadron spectroscopy.

They must be more like knots: https://en.wikipedia.org/wiki/Knot_(mathematics)

Quarks are small masses, gluons are strings connecting them, and the whole thing is in a rapid periodic motion.

> Like Mendeleev and Gell-Mann, we are at the beginning of a new field, in the taxonomy stage, discovering, studying and classifying exotic hadrons.

The chemistry of matter that's smaller than protons and larger than electrons is indeed a missing piece. But the real breakthru will be discovering a membrane that's impenetrable to those multiquarks.
But if your dishwasher is empty is takes nearly the same amount of time/effort to put dishes straight into the dishwasher that it does to put them in the sink.

I think I'd only really save time by having a robot that could unload my dishwasher and put up the clean dishes.
I think it's hard to enumerate the unknown, but I'd personally love to see how models like this perform on things like word problems where you introduce red herrings. Right now, LLMs at large tend to struggle mightily to understand when some of the given information is not only irrelevant, but may explicitly serve to distract from the real problem.
Ahhhh interesting, thanks for pointing this out!

Looked into it and it has to do with how Swift and JS (for the WebView visualization) handle dates. Will push a bug fix in the next update!
No, the timescale is "the 90s", the the specific example is from 1997, and chosen because of how badly it aged. Nobody looks at the original single-player Unreal graphics today and thinks "this is amazing!", but we all did at the time — Reflections! Dynamic lighting! It was amazing for the era — but it was also a long way from photorealism. ChatGPT is amazing… but how far is it from Brent Spiner's Data?

The era was people getting wowed from Wolfenstein (1992) to "about Halo or Half Life 2" (2001 or 2004).

And I'm not saying the flattening of excitement was for any specific reason, just that this was roughly when it stopped getting exciting — it might have been because the engines were good enough for 3D art styles beyond "as realistic as we can make it", but for all I know it was the War On Terror which changed the tone of press releases and how much the news in general cared. Or perhaps it was a culture shift which came with more people getting online and less media being printed on glossy paper and sold in newsagents.

Whatever the cause, it happened around that time.
I mean, fine, believe whatever you want, but if you don't about engaging with what anyone else says why bother posting?
Thank you so much, I really appreciate you checking this out and the kind words!
You could also go with this: https://www.youtube.com/watch?v=juq0_2Oj5qw
Don't be silly. They never needed grants for making a lasting product. The grant is for shareholder metrics, not because they actually need the money.
AI slop blogspam
At this point I'm not sure we'll actually get a task-specific machine for laundry folding/sorting before humanoid robots gain the capability to do it well enough.
One is a diagram tool, one is innovation the uses a diagram tool.
This is indeed true, thank you bruddah :')
>Why is it legal for the consumer to be on the hook for mistakes by the company?

Customer support didn't even get back to the guy yet. Seems like a stretch to conclude that he's "on the hook" for it. This isn't any different than getting a credit card bill with a fraudulent charge on it, and having to call the company to get it reversed. Yes, it's a hassle, and might affect you negatively in the short term, but it's a stretch to describe the situation as "the consumer to be on the hook" for fraud.
In the Netherlands buying stolen goods is a crime. If you knew or could reasonably have known it was stolen (e.g. a bike with a broken lock, no keys and a low price) you risk a serious fine. If you didn't know it was stolen you just loose the goods. Technically you then have a claim on the seller, but of course you're not going to get anything.

So stealing your own thing back without the police involved may technically be illegal, but practically if the airtag tells you where your stolen bike is and you have the keys, skip the police and take it. Nothing will happen. The thief or their client is not going to call the police since that gets them arrested or fined.

Of course you can't go into the thief's house to retrieve your things. Then you do need to call the police first. But the one case I know about someone doing that for a stolen iPhone based on Find My app location, the police showed up quickly and arrested the thief + found lots of other stolen things in their possession.
Can it play Mario 64 now?
and quite a lot of research institutes around the world
In this paper and HF's replication the model used to produce solutions to MATH problems is off-the-shelf. It is induced to produce step-by-step CoT-style solutions by few-shot ICL prompts or by instructions.

Yes, the search process (beam-search of best-of-N) does produce verbose traces because there is branching involved when sampling "thoughts" from base model. These branched traces (including incomplete "abandoned" branches) can be shown to the user or hidden, if the approach is deployed as-is.
My personal view is that the roadmap to AGI requires an LLM acting as a prefrontal cortex: something designed to think about thinking.

It would decide what circumstances call for double-checking facts for accuracy, which would hopefully catch hallucinations. It would write its own acceptance criteria for its answers, etc.

It's not clear to me how to train each of the sub-models required, or how big (or small!) they need to be, or what architecture works best. But I think that complex architectures are going to win out over the "just scale up with more data and more compute" approach.
Where does "here" mean.

In the UK only "central" England and south transmits data over the mobile network. In northern England and Scotland, the data is transmitted over UHF radio.
Well, the drama has some new development as of 2 days ago:
https://github.com/web-platform-tests/interop/issues/700#iss...
Does it work on short stories, but not novels? If so, then that's just a minor question of context length that should self-resolve over time.
> Does Google even offer live-person support if you’re not their Workspace customer?

Not really. That's the giant red flag behind committing to a gmail, outlook, etc. account. If it gets messed up you're at the whim of "on-rail" support and if you need anything more all you can do is shout into social media and hope a stray employee feels bad for you.
Grayjay dev here. If you want it to use your user directory like other apps, just remove the file called "Portable". Keep in mind that it just uses your working directory to write files otherwise.
Pretty sure it's 0.064%, not sure why the article got it wrong, still impressive though
I'm in the UK and with solar and battery, and having an EV there are tariffs out there where the levellised cost you'll pay is approaching 7p per kWh.

Intelligent Octopus Go is one example - between 23:30 and 05:30 all of your electricity usage is 7p per kWh, for the entire house. For this, you give up controlling when your EV is charged as Octopus either control it through the car, or through a compatible charger. When your car is plugged in, they build a charging schedule when the grid is cheapest and greenest. You give them an "I need to add this % of charge and it to be done by this time tomorrow morning" and it just works it out. On days with a glut of renewable generation (i.e., it's very windy, or very sunny) you will get half hour slots at 7p during the day as well.

Now comes the solar and PV element - their "outgoing octopus" export scheme pays 15p per kWh, so in the summer you can build a nice credit buffer from exported excess energy, and then in the winter, charge the battery whenever the cheap rate is active and given a big "enough" battery, most of your usage will cost you 7p + 5-10% (efficiency losses from AC/DC/AC conversion).

The payback period for Solar + Battery, especially in the UK where we aren't saddled with high tariffs for panels, is coming down markedly. It used to be well in excess of a decade, but is between 5-10 years now.
One of the reasons why I switched autopay off for everything (other than my car insurance, which does give me a discount). I want to be in complete control of what comes and goes in my accounts.
I spend quite a lot of time noodling on this. The thing that became really clear from this o3 announcement is that the "throw a lot of compute at it and it can do insane things" line of thinking continues to hold very true. If that is true, is the right thing to do productize it (use the compute more generally) or apply it (use the compute for very specific incredibly hard and ground breaking problems)? I don't know if any of this thinking is logical or not, but if it's a matter of where to apply the compute, I feel like I'd be more inclined to say: don't give me AI, instead use AI to very fundamentally shift things.
It's possible humans reason better through text than not through text, so these models, having been trained on text, should be able to out-reason any person who's not currently sitting down to write.
"turn the canvas you authored into finished, consistent art"

Like a jpeg? Otherwise I don't understand your question.

" a way to turn natural language rules into correct code"

And this is straight impossible, as natural language is by definition ambigious in meaning and code is not. Try your luck with LLM's, they come closest.

(a subset of natural language might work, but this is kind of a complex research topic)
I'd love to be able to pick data input myself! For example I swim and I might want to see my swimming pace or total distance for each month like a high score chart. Though many people are into different sports so being able to iterate all available Health data and having a dropdown would be great.

Keep up the good work!
There should be a benchmark that tells the AI it's previous answer was wrong and test the number of times it either corrects itself or incorrectly capitulates, since it seems easy to trip them up when they are in fact right.
Thank you for the book recommendations.
> Even the “cool kids” are staying inside and using their phones all day. Cool used to mean you were at the party, now it just means you have a high snapchat score.

Eyebrow raise.
https://archive.is/2uHTU
Not just that. The whole UI is designed for behavioral data aggregation.

It’s not just “did you click the like button”. It’s “did you swipe it away? How long did you watch until you swiped it away? Did you come back afterwards? Did you let it loop multiple times before moving on?”.

They’ll capture likes and dislikes you yourself probably didn’t even knew you had, just from tens and hundreds of these micro actions. And they’ll do it in the very first hour of you using the app, whereas YouTube won’t know too much about you even after months of you using it.
Look, I can’t turn on the news here without hearing something about it, there’s been protests here in support of Palestine, the public broadcaster is all over it with interviews in Palastine, and people seem only as indifferent to this far away issue as any of the other handful of purported genocides I can recall in living memory.
Works absolutely fine as possible with Python using conda to manage the environments and python versions and pip to install the packages.
Grayjay dev here, TikTok plugin pretty much works already, we just need to add the respective UI for both mobile and desktop to make it work nicely.
It also opens up more granular time-of-use tariffs than Economy 7.

Intelligent Octopus Go being one example.