skysight-inc/HackerNews huggingface dataset:
Gen Z (like actually in high school still) are on Instagram still, at least in Australia; they do use discord a huge amount, and TikTok obviously. This is what I’ve observed of the younger people in my online gaming group (Valorant Premier is a lot of fun, as an aside), but then that’s also likely got some selection bias.
I would be willing to bet significant sums of money that virtually 100% of your trades, in any any of these "pockets of the market", have one of those fat cats as your counterparty.
“We’ve Changed the Game”: Teamsters Win Historic UPS Contract
I've always had these events outside work hours. We get paid to work. After work, the company is buying us drinks but not paying us to drink them. Where's the problem?
requiring an account on day one makes me wary that the whole thing is pre-enshitified.
Was being cheeky in response to OP claiming "the use of lead would restrict the use cases fairly heavily."
My understanding is that at a high level you can look at this model as a black box which accepts a string and outputs a string.

If you want it to “remember” things you do that by appending all the previous conversations together and supply it in the input string.

In an ideal world this would work perfectly. It would read through the whole conversation and would provide the right output you expect, exactly as if it would “remember” the conversation. In reality there are all kind of issues which can crop up as the input grows longer and longer. One is that it takes more and more processing power and time for it to “read through” everything previously said. And there are things like what jmiskovic said that the output quality can also degrade in perhaps unexpected ways.

But that also doesn’t mean that “ refinement of output is arrived at through conversation isn't possible”. It is not that black and white, just that you can run into troubles as the length of the discussion grows.

I don’t have direct experience with long conversations so I can’t tell you how long is definietly too long, and how long is still safe. Plus probably there are some tricks one can do to work around these. Probably there are things one can do if one unpacks that “black box” understanding of the process. But even without that you could imagine a “consolidation” process where the AI is instructed to write short notes about a given length of conversation and then those shorter notes would be copied in to the next input instead of the full previous conversation. All of these are possible, but you won’t have a turn-key solution for it just yet.
And far too many people mistakenly think "skeptical" means "distrustful".
They may have missed it this time, but if you look at a recent stock market history, it was impossible to not make a fortune out of a pretty obvious portfolio. /s
Stone knives and bear skins – there is no money in tools
Oh no I didn’t mean it like that. Inner life and personal stuff is absolutely wonderful to talk about. It’s just something that diminishes in value the further I go past the closest people in my life.

So yeah, actually, I don’t think most people are truly interested or stand to benefit from knowing about my stuff. Unless I’m particularly interested in their stuff and the feeling is mutual.
nsightfly is a chrome extension that allows you to generate a summary and insights of a youtube video.
Get right to the heart of Youtube videos with ChatGPT. Extract the crucial insights and ideas from any video in a matter of seconds, without having to spend precious time on irrelevant content. Be it AI updates, Business Education, Personal Growth and more, we've got you covered!

Absorb the fast-paced world of AI and GPT without missing a beat!
Explore those podcasts you've been meaning to get around to from your backlog.
Get key insights and summaries in just few seconds flat.
From business to personal development, stay ahead with up-to-the-minute insights.

Advantages:
Time-Efficient – Get straight to the heart of the matter quickly.
Selective – Don't waste your precious time on videos that won't serve you.
When does the hanging copper maintain a position in the video?
https://www.youtube.com/watch?v=EtVjGWpbE7k

All I see is the normal dampening and dragging effects that I show in my physics classroom.
This is interesting because it then is such a sharp U-turn since last Q2. "Keep hiring!" -> "Layoffs!" with very little pause in between?
Uh. "cropping up like ants" is definitely a take. Not a good one, as most the browsers here had their first release date of 199*. I will list them out.

Mullvad, is the Tor Browser with the Mullvad VPN included, and released 2023. However, the Tor Browser, which it effectively is, is from 2002.

Brave, the one in this article, is from 2019.

Opera is from 1994.

Vivaldi is from 2015, and is developed by Opera's previous dev-team after a bad sale to a Chinese company.

Microsoft's first browser, Internet Explorer, is from 1995.

I can not comment about Zoho's browser, as i know little about it.
Guys, even if everything in this paper is true, the material as it is might have limited applications.

From what they show, the critical field and critical current seem very low. 2500 Oe is like 0.25 Tesla. Even REBCO at 77K is >1T. And 2500 Oe is not even at critical temperature but much lower. From skimming through the article I couldn't find the sample size of the current measurement to get the critical current density, not just current which is meaningless (and around 300 mA).

This means you can't actually push big current through this thing (yet). You can't make a powerful magnet, and you can't make viable power lines, both applications that were the hallmark of "room temperature superconductor revolution".

Of course, maybe one or a few more tweak(s) of the material and boom, it will give high J_c and B_c. I really hope it does, it would be super cool!
https://en.wikipedia.org/wiki/The_Time_Machine

...
A work of future history and speculative evolution, Time Machine is interpreted in modern times as a commentary on the increasing inequality and class divisions of Wells' era, which he projects as giving rise to two separate human species: the fair, childlike Eloi, and the savage, simian Morlocks, distant descendants of the contemporary upper and lower classes respectively
...

...
Deducing that the Morlocks have taken his time machine, he explores their tunnels, learning that due to a lack of any other means of sustenance, they feed on the Eloi. The Traveller theorizes that intelligence is the result of and response to danger; with no real challenges facing the Eloi, they have lost the spirit, intelligence, and physical fitness of humanity at its peak.
...
But the interties between grids are often high voltage DC which would work fine between incompatible AC grids. I think, but am not sure, that you'd always want DC superconducting transmission lines to avoid inductive losses.
I never heard before about roaches that can be minimized. Reminds me of the original meaning if debugging -- physically removing cockroaches.

Probably the story would sound more funny to me if I knew more about xwindows and SPARCs?
I know that is a risk but it is only made worse by talking about the useless stuff and not talking about the real actions that should be directed towards the large corporations.
Tesla's Model X (depending on options) has a towing capacity of 5k lbs [1]. As far as I can tell, nobody is claiming that this is false and there's a few anecdotes of people with 5k campers they tow.

So, afaik, historical claims by Tesla on towing capacity are true so there seems to be more reason to believe a future towing claim is accurate based on previous towing claims than believe it's false because previous non-towing claims have been false.

[1]: https://www.tesla.com/ownersmanual/modelx/en_us/GUID-7A684E2...
Einstein wasn't (not is) more intelligent than a toddler in the same way he was stronger than a toddler, or maybe at all. He certainly knew more. He was actually less intelligent than he, himself, was as a toddler if one is measuring at rate of knowledge acquisition rather than acquired.

Once the analogical reasoning broke down I stopped reading, especially since I believe life is a prerequisite for intelligence and is bound to it, because intelligence does not equal computation and is more than Turing complete.
Thank you for such a thoughtful response! This tool seems great - I'll start my subscription tonight :)
Yeah pretty much all major tech companies did this exact same U-turn.
Reality TV Show Psychologically Tortures Participants with Deepfakes of Partners
Because it's voluntary and they're buying your food/drinks?
Problem is that in addition to people whose salary depends on it, there seems to be plenty of people out here defending Google and spreading misinformation despite having no obvious profit motive.
> You cannot choose to live outside of society.

Sure you can -- just head off to https://www.thecollector.com/bir-tawil-unclaimed-land/ and enjoy your isolation!
You can, but as a crazy idea you can also ask chatgpt to write select queries using the functions parameter they added recently - you can also ask it to write jsonpath.

As long as it understands the schema and general idea of data, it does a fairly good job. Just be careful to do too much with one prompt, you can easily cause hallucinations
I doubt this one chemistry will be all that useful on practice. But after people understand it, I expect them to recreate the effect with completely different components, not on just slightly different ones.
It's not just piracy, right?
What you mean by “contemporaneous” matters a lot here, as a few of the answers cover.

When it was introduced, it was faster clock for clock and clocked significantly higher than Intel’s best chips.

This gap didn’t last. This is the period when Intel started to really differentiate on fab technology and at the same time successfully modernized their x86 microarchitecture. By the time they adopted x86-64—reluctantly or otherwise—Alpha was neither performance nor economically competitive.

This was at root a business problem: They couldn’t build a high-end market at the scales they needed to support continued development at Intel’s pace. Intel had their consumer business to cover even major screwups like Itanium. DEC of the ‘90’s did not have that luxury.
Great tool! Thanks for sharing that.

Regarding the activity, there's been a lot of preparation for the 0.9 release. As to the new contributors, I don't know the reasons for that but all contributions are very welcome. It's a very welcoming community and a great way to make an impact!

Full Disclosure: PRQL contributor
A friend at Princeton told me they're having the opposite scandal. Apparently the student newspaper did some data analysis and found that legacy students had both higher SATs and better GPAs. That sort of breaks the narrative.

The feeling is that the trustees have capped the number of legacies at around 10-12% and so it's a bit tougher to get in if you're a child of an alumnus. Apparently they treat the pools fairly independently.

https://www.dailyprincetonian.com/article/2023/07/princeton-...
>The other part of me is screaming at my laptop that language modeling is about aggregate statistics

Yeah..but it's not. This is where people are having so much trouble. The erroneous belief that language model learn some "average" or "aggregate" of the training set. But when you get down to it, that doesn't make any sense at all. What help would some fictional aggregate distribution do with predicting the responses of decidedly non aggregate text ? None at all.

So Language models don't learn an "average" distribution. They learn to predict every state that exists in the corpus in a sort of superposition. The perfect LLM would predict Einstein as well as it would predict the dumbass down the street.

LLMs are biased but not uniformly so.
It worked with Google too. I saw it a number of times: I couldn't understand why a certain document was included but when I searched I'd find the words listed in an invisible string at the bottom of the page.

Pagerank affected the ranking, not what keywords it should be found under.

That said, today it is worse: pages show up in searches for keywords they don't even contain.

One of the biggest reasons why I pay for Kagi.
I don't understand why people think that this philosophy only makes sense if you have gigantic compensation packages.

What's so off-putting about: "Do well and you stick around, do poorly and you go away"?
This is awesome news and a great addition to the trend of power coming back to the workers that I feel like I'm noticing lately. Super exciting: if you're a laborer, you should feel inspired by this. Collective bargaining is a seriously powerful tool.
> Specifically you could lay undersea superconducting cables around the world and rely on a global electrical grid which allows for nearly 100% solar generation.

Not really, when the sun is up over the Pacific ocean, there's not that much sun over land. Maybe a global grid happens anyway, but cabling losses aren't the only source of cost, so I'd put my money on more localized improvements.

Better interconnection between and within local grids (maybe a viable Tres Amigas interconnection, but even just better connections between sections of the major grids would help with grid management. Improvements in motors, MRIs, magnetic bearings, transformers, etc.
I spent all my time in LA living in Westwood, and saw some interesting rain storms while I was there. Interesting tidbit: Santa Monica (just next to the coast) actually gets less rain a year than LA (13.5 inches vs. 14.7 inches). I'm guessing they get more moisture in fog than in rain.
I have no idea whether the distribution I am running uses Wayland. What might one do to find out?
ClickHouse is a simple and solid tool - you install it, it works, and it does not require attention. It is probably the less problematic data storage dependency. Works well in embedded scenarios.
The issue is if the company is requiring me to spend time doing company things, then I'm working and should be paid for it. If it's actually optional, then there is no problem.

Buying drinks or not doesn't really enter into it, particularly for people who don't drink.
Like cities with dense populations should operate as city-states and that the current federal model is broken.
That sounds cool and I can believe that the totality of survey information etc. contains a lot of extractable information that isn't always made use of or needs surfacing.

Do you know at what boundaries this tends to stop working, e.g., some event happens that changes people's perception of X would probably need new deta if the event is "bigger than ..."?
I have engaged constructively this whole time, and you've downvoted every comment of mine you could. (HN doesn't allow you to downvote direct replies to your own comments, and those are the only comments of mine that aren't downvoted, so it's easy to tell.) That indicates bad faith.
That's very unlikely. In each case the change would be backed by an analysis which justified the change, nefarious intent would be pretty difficult to prove.
First of all, we're assuming that agents are (at least initially) designed intentionally, not as harmful viruses.

Second, running a LLM inference (nevermind training!) involves lots and lots of system resources. Much more difficult to hide than a tiny backdoor.
I've experimented with that a bit.

Currently the absolutely best way to do that is to upload a SQLite database file to ChatGPT Code Interpreter.

I'm hoping that someone will fine-tune an openly licensed model for this at some point that can give results as good as Code Interpreter does.
Usually people who are making the argument you were making with the words you were using are signalling that lead is "lump of rock from center of nuclear reactor" dangerous. Honest to god, a lot of people believe this
I use CTEs, window functions, and groupings all the time when I write reporting queries. These things tend to be much more verbose in raw SQL, and ORMs / Query Builders either do not support some of these features at all or do very poor job (like, force me to put raw SQL substrings in my code), or force to write DSLs that are even more verbose than raw SQL. Look at corresponding PRQL samples, and you may see an appeal.

Also, I agree, no one should write SQL like this - screaming keywords, superficial newlines, etc. I don't think this style made sense ever, even in 1970s.
It depends on what metrics you are basing the degradation. Financially they are doing very well. After they cracked down on account sharing, they gained six million new subs, so they seem to be doing well on product as well.

They don't seem to have as much breakout content as before, but I think they have a lot of minor hits, especially in other countries. And honestly that is better for their business than huge breakout hits.

From what I've heard from friends who are still there, the nexus of the company shifted from the Bay Area to Hollywood a few years ago. At that point they became more of an entertainment company than a tech company. Some have said all the "hard" problems are solved, now they are just making small adjustments. Although I disagree with this: they quietly added live streaming which was a huge tech leap for Netflix, although it was so quiet no one seems to have noticed.

Also, with the economy the way it is and being an entertainment company now, they are starting to worry more about budgets. When I was there the only real budget guidance we got was "don't grow your headcount faster than our subscriber count" and "keep IT costs flat on a per stream basis". I hear now directors get budgets they have to stick to.

Also they added leveling which allowed them to hire more junior engineers. When I was there, there were no levels. We didn't really hire junior engineers. We hired senior engineers to solve problems that usually juniors would be given, and they would solve it with automation and robustness that maybe took a bit longer and would be considered "over-engineered" but that lasted for years and scaled with minimal effort.

But the freedom is still there for the most part. Managers still mostly just provide context and the leaf nodes come up with the implementations.
This made me laugh, it’s a perfect response to someone stating a preference as if it were a law of computing.
The advertising people know that they can slip information and impressions into your brain whether you think you're listening/reading/clicking or not.

All they really need to do is tick a few % of the marginal decision-makers who need to (for example) buy a car to say "I should consider a Ford" and they've covered the ad budget.
Yes! Another apt name would be "trustme". (The normal case in Rust is trust the compiler - and all the people who wrote "trustme" code that you depend on!)
They started raising in 2020 for a browser, a no-hope project in a commoditized consumer market dominated by giants with strong network effects. The software might not be vapor but the money will definitely be.
Conversely, being too close to the problem can cause practitioners to miss the forest for the trees.

I think in this case it's a false premise though. There are plenty of real practitioners like Joshua Bengio and Geoffrey Hinton who have sounded the alarm on these topics, and no one can call them inexperienced with real systems.
> the material as it is might have limited applications

Is LK-99 part of a larger (either known or emerging) class of materials? I'm not understanding what the lead and copper ions are doing to create internal stress, and why that leads to superconductivity.
My LLM command line tool can do that - it logs everything to a SQLite database and has an option to continue a conversation: https://llm.datasette.io
If it's voluntary then there is no problem.

"Voluntary" means that there will be no adverse effect on your employment if you decline to participate. Your characterization of the activity strongly implies that not participating will come with consequences to your job.
No. It's not. The impact won't be bigger than, say, the jet engine (1935), nuclear power (1951), the computer processor (???), the internet (???), DNA (1953), or many others.

The past century has had a lot going on.
> tab tiling

I think tab tilling in Arc is only good if you use ultrawide screen and/or stay in browser for your workflow, other wise it's yet another layer of window management (windows, tabs, tiles in windows) you have to remember.

When you use smaller screen it would be good if instead of resizing the tiles to try to fit the sreen, maybe keep them the same size but alow horizontal scroll to go through them?
To go back to my original post, my main beef is with turning an imperative language into a declarative one. If you've seen enough of these types of languages degrade, you start to see a pattern.
I mean, to me this sounds like "some christians are coming around to the fact that cosmology is mostly correct about the shape of the universe, but they want us to say that God created the big bang since you can't explain it yet."

Which is to say, right or wrong, it's a narrative in search of confirmation more than it's an actually rational understanding of what is real.
It was expensive, but it's supremely satisfying to type on such that.. I want more! But I think my days of buying expensive keebs is behind me...
> that legacy students had both higher SATs and better GPAs

Then they can get in without legacy admission.
This feels contradictory; unix isn't good enough, so nobody implements standard unix, but people need to stop putting unix on a pedestal?
Ha! I will seriously keep this one in mind
PRQL fixes this.

(Disclaimer: I'm a PRQL contributor.)
AI for simulating surveys is pretty bad (read, pointless), but AI for simulating clinical trials is straight up criminal.
95% of the professional asset managers, for example those in wealthion, blockworks, paid macro people like 42macro and themacrocompass, nearly all of them, said stocks would most likely touch 4300 on the S&P and probably cycle down again to prior lows, as manufacturing PMIs, housing, etc weaken, as the long and variable lags from Fed tightening, credit environment, start to hit.

Instead, right after the debt ceiling, there was a massive short squeeze, parabolic AI tech pump, and we're at 4567 on the S&P.

As it turns out the people just trading off momentum, technical analysis, and liquidity expectations, did way better than those betting on certain industries to go down. Sure, it can still go down, but there are plenty of money managers, macro experts, that looked at the big picture based and made data driven decisions based on historical data, and still got completely burned because they were trading against the technicals (massive upward momentum since after October).
A bill is an invoice you send to someone else, to request payment.

An expense is an invoice someone sends to you for payment. This “invoice” might be as simple as a docket from a cash register.

If you receive an invoice from someone, it can be classified as an expense if it’s legitimately part of your business - depending on local law. If it is an expense then it’s deducted from your income so that you don’t get taxed on it - you should only be taxed on profit, not revenue.

If it’s not a legitimate business expense then you can’t deduct it from your income and the tax you pay is higher.
Thanks. This realclimate blog post is very well summarized and easy to read compared to the actual article.
> It is not my moral obligation to obey the orders of other human beings.

If you are prepared to live without everything "other human beings" offer you, then sure -- but you're not prepared to do that. So you must reach some sort of agreement with "other human beings" even if that means obeying the occasional "order".