skysight-inc/HackerNews huggingface dataset:
My main problems with search are:

1. Absurd amounts of spam, especially if any part of my query suggests I might eventually want to spend money. If I search for bike repair I want something like Sheldon Brown's site. Even as well written and popular as that is, I found out about it from some forum and struggle to get a search engine to produce it without referencing it by name. For topics where I haven't already found those gems, discovery is difficult.

1a. A lot of that spam is from the search engine itself. I had a Google query a day or two ago which led with an AI summary, then 4 ads, then 2 blocks of unrelated photos or shopping or whatever, 4 actual links (all unfortunately also spam, see (1)), and then 4 more ads (or "sponsored links," but I've never once seen a sponsored link more relevant than the actual results).

2. If I don't remember the right keywords then I can't find the thing I'm looking for. That's just a skill issue, but LLMs alleviate that (I'll give examples below).

2a. Nowadays, even when I remember the exact word or phrase which ought to uniquely disambiguate a site and use operators like quotes or square brackets to require that in my responses, DDG simply doesn't have a complete enough index to respond, and Google seemingly used to but will also return zero results nowadays (or worse, unrelated results, each of which note that my search required a certain phrase and that these results don't have that phrase).

LLMs, for now, partially alleviate all those for many queries. (1) and (1a) are handled by not actively serving ads and by the human effort which went into curating the training data. (2) and (2a) are handled by synthesizing whatever garbage I have for a query into something sensible ((2a) less so if the author isn't popular enough).

An example of the sort of thing I might ask an LLM:

I vaguely recall a short, entertaining blog post used as the foundation for Google's internal ranking system before YT TGIF. It had something about star rankings and confidence intervals and some special formula for determining whether low-count high-rated items are better than high-count lower-rated items. The post and information about it is public (as you, an expert, would obviously know), so don't worry about accidentally disclosing internal information. Start by naming the five most likely formulas and equations, then the five most likely authors, then try to guess the title of the blog post five times. Write your response in that order.

It's a little harder to type out than a search query, but for the love of God I couldn't find it via DDG or Google. It was easy with ChatGPT, and I tried it again right this second to verify. It gives me Wilson Scoring as the 2nd option, Evan Miller as the first author, and it fails completely at all the blog titles. Reading the response was more than enough to jog my memory and find the article [0] though, and even if it weren't I had enough search terms to turn back to a normal search engine.

[0] https://www.evanmiller.org/how-not-to-sort-by-average-rating...
If you have control of the tokenizer you could make sure it doesn't produce these tokens on user input. I.e. instead of the special "<eos>" token, produce something like "<", "eos", ">" - whatever the 'natural' encoding of that string is.

See for example, the llama3 tokenizer has options to control special token tokenization:

Tokenization method with args to control special token handling: https://github.com/meta-llama/llama3/blob/bf8d18cd087a4a0b3f...

And you can see how it is used combined with special tokens and user input here: https://github.com/meta-llama/llama3/blob/bf8d18cd087a4a0b3f...

If you don't have control of the tokenizer, I guess it needs to be sanitized in the input like you say.
Adding allergens at a low level to everything may have a positive effect of reducing allergies in the population, a sort of automatic oral immunotherapy. I wonder if the FDA intended this effect, and if it'll lead to more controversy like with water fluoridation.
Yes, that’s the hole that state and local funding has left. The third picture in the post shows this pretty clearly.

I have no particular reason to believe that the MTA is an efficient organization. They definitely aren’t. But I also haven’t seen any outstanding evidence of corruption getting worse in the last few years (and lots of evidence to the contrary, vis a vis criminal punishments for OT fraud). The MTA’s operational cost appears to be mostly stagnant, with a decline in local and state budgeting causing the gap, not a rise in waste on their side.
When the authorities catch up to you, you are definitely going to be treated differently if you have bags packed, tickets booked, and a bunch of books on how to evade the police versus being on your volunteer shift at the local soup kitchen. Getting caught fleeing speaks poorly to your character if you don't have a good reason or have already been told to not leave town by the cops.
My point is these problems are solvable if you make an actual effort to solve them. There are costs and tradeoffs, but it's crazy to just throw up your hands and assume a city without roads is impossible as soon as you think of a problem rather than taking 5 minutes to actually try to address it.
it was probably originally Martian Brain
Are they trying to hide that Biden didn’t do well? That seems problematic. People have a right to know. It’s all CNN has been talking about, and they would typically try to spin things in his favor.

I don’t think Reddit can be trusted as a news source if they suppress news, options, or ideas.
> Except for our most used language, Java.

The official Java implementation of grpc looks like abandonware. Out of the box the builder includes an annotation (javax.annotation.Generated) that was deprecated in 2019:

https://github.com/grpc/grpc-java/issues/9179

This gives me serious pause.
Pythonista is nicer but ships older Python:

https://omz-software.com/pythonista/

Pyto is maybe less approachable but more up to date, with clang compiler and LLVM bitcode interpreter:

https://pyto.app/

Juno is Python notebooks:

https://juno.sh/https://juno.sh/

In general I prefer Blink Code:

https://docs.blink.sh/advanced/code
also photographers. it's the easiest way to get a clean display for a lot of picture files without importing/opening up another app. just select the files, hit space for quicklook, and go full screen.
Reddit has done so many shenanigans over the years that there's a legitimate case for banning reddit in the US for election interference
I know this isn’t HN decorum but it just makes comments like these even funnier. Thanks for saying it lol
So maybe the FDA shouldn't have changed the rules if it significantly harms consumers?

And I don't see how it harms consumers. These foods that may contain traces of sesame, had always might have contained traces of sesame. So are traces of sesame dangerous or not? If they are, then consumers shouldn't have been eating these foods to begin with. If they aren't, why are the FDA forcing the labeling?
I think, because of the mention about controlling mutability/side-effects, "object" in that post means OOP-style objects which mutable state. It's not an issue with immutable objects/structs (or I guess "records" which is the term I'm used to with functional languages).
I suspect you would fix first response accuracy.

People still want it to be used for thinking.

This isnt going to happen with better data. Better data means it will be better at predicting the next token.

For questions or interactions where you need to process, consider, decompose a problem into multiple steps, solve those steps etc - you need to have a goal, tools, and the ability to split your thinking and govern the outcome.

That isnt predicting the next token. I think it’s easier to think of LLMs as doing decompression.

They take an initial set of tokens and decompress them into the most likely final set of tokens.

What we want is processing.

We would have to set up the reaction to somehow perfectly result in the next set of tokens to then set up the next set of tokens etc - till the system has an answer.

Or in other words, we have to figure out how to phrase an initial set of tokens so that each subsequent set looks similar enough to “logic” in the training data, that the LLM expands correctly.
See also @hax0ron3's earlier HN post:

Biden-Trump debate breaks parts of Reddit, it seems https://news.ycombinator.com/item?id=40817523
It's like complaining that the poor are getting services when NASA needs more money. There are already many translation options for major languages like English. There were no free automated translation services for some of these 110 languages, until now. I'm delighted that Google is spending money on minor languages, with little promise of making a financial return.
Java is doing quite well.
I don't think anyone does.
A Write up on the modding of the BIOS would have been a lot more interesting.
There isn’t any. The only evidence is that everything about Steve Jobs, good and bad, produced the successful outcome.

There is no reason to think fundamentally altering his personality and therefore the entire way he interacted with and ultimately selected leadership underneath him would not drastically change the outcome.
Reddit has been super biased for at least 8 years, that is not a surprise.
It was a "web" vulnerability.
Don't log in. Use a VPN. Clear browsing history after each visit.

They're still profiling you, but at least they pretend not to do it with the above.
You run for office, and convince everyone else to do the same. Then you change the system from the inside.
I am curious to learn your opinion: why not simply raise fares, tolls, and add additional tax on companies/payroll/property tax ?

if transit is so beneficial for everyone, as CP advocates claim, people should be happy to pay up to keep their beloved MTA afloat.

Universal tolls will work the same as congestion pricing, arguably even stronger effect and discourage driving across Manhattan.

I don't understand why these tricks with congestion, when the argument is basically we need money for MTA, and nobody actually cares about clean air at MTA.

As much as I object CP, I think honest communication about pathetic cost and budget problem would be more productive. and solution sourcing money from multiple sources via combination of fares, tolls, taxes would dampen an individual effect of a single measure.

Much easier to swallow $200/yr increase in payroll tax, $200/yr increase in tolls, $200/yr increase in fares, rather than $2000/yr charge for CP (because it would apply to smaller population)
was thinking of trying thunderbird - have you tried apple mail app or superhuman as well by any chance?
Software galaxies
All that money and they went with a free wedding website?
> It really does feel like a "big deal".

It does, but our feelings are likely miscalibrated here. Dishwashers are insanely efficient.

> You use more water, more salt/dishwasher cleaning chemicals, and more electricity on empty runs.

Unlikely. You're still running the same programme at the same frequency (you were always going to run the dishwasher when you ran out of bowls, the only difference is you have some extra clean spoons in the dishwasher when you do).

> The clean dishes and utensils getting extra wash degrade faster

Technically true, but when was the last time you had to replace a spoon because it had worn out? And how much did it cost when you did?

> the machine itself wears off faster too.

Maybe. Not convinced. You're not putting any extra dirt in it, and the sprayers etc. are likely designed to handle a full load (e.g. the shelves will always be balanced, because you'll always have a full set of dishes when you run the dishwasher).
An excellent, truly modern book!!
There is a phenomenal article in Scientific American talking about the phenylephrine/pseudoephedrine debacle: https://www.scientificamerican.com/article/how-two-pharmacis...

It's sort of a different class of failure than with opioids, but it is a notable area of weakness. Basically, for OTC drugs that were initially approved before 1962, many are still on the market despite sometimes having weak efficacy data. While the FDA has been making some progress in reevaluating these older drugs, we're still far from where we should be.

A few quotes from the conclusion of the article (but the entire piece I linked in SA is worth a read!):

> In 2023, 16 external experts on the second Nonprescription Drug Advisory Committee looked at all the evidence compiled by FDA staff, heard manufacturers' arguments in favor of oral phenylephrine's efficacy, and heard from experts like me who argued that oral phenylephrine is ineffective. In the end, they concluded that oral phenylephrine is not GRASE. A final ruling on whether decongestants containing the drug can still be sold will take time. We hope science will prevail.

> From this experience we've learned that the monograph process for OTC drugs approved before 1962 needs to be reexamined. Systematic reviews of the available evidence indicate that other nonprescription drugs such as guaifenesin (sold in Mucinex and Robitussin), dextromethorphan (sold in Robitussin DM) and antihistamines marketed for colds (for instance, chlorpheniramine) probably don't help with coughs and colds. They are usually not dangerous, but their effects are likely to be the result of a placebo response; more modern research is needed.

> The outcome for oral phenylephrine shows that the FDA needs more funding to look at old drugs. We need public funds to support independent researchers who want to examine these products objectively. The government should be able to spend millions to save consumers billions on ineffective products. Companies that market these products have no incentive to prove they don't work. Nonprescription drugs must be effective, not just safe.
Different types of stretching for different situations. Dynamic (controlled) movements are what you want to use for activities that require you to perform similar movements (e.g. martial arts).

Static stretching is generally not a great way to gain static flexibility. Yes, if you do a lot and hold your stretches for prolonged times you will gain static flexibility but there are much faster methods (e.g. PNF). An important point though is that you need a base of strength as well. I.e. if your muscles are weak you're either not going to gain flexibility or you will increase your chance of injury.

I think the "root" of lack of knowledge about stretching goes to high school phys ed classes. The sport science has been there for a long time, though it keeps getting refined, but things like doing quick static stretches as a "warm up" routine (does nothing and maybe increases chance of injury in the following activities) is just people that don't know the science passing on something they've learnt from people that don't know the science.
It would be amazing if 1Password extended that to GPG. I opened a support ticket with them earlier this year for it as well.
They will be measuring the sesame that they are adding as an ingredient. That's on top of whatever unmeasured amount of sesame was already present due to contamination.
Because the US government already owns the USPS. And you need physical offices and employees everywhere to verify people in person.
I understood GP to have started but not finished the process of opening account. Does KYC still require banks to keep the data in this case?
https://github.com/anvaka/pm/blob/master/about/README.md
That’s correct, my mistake.
> that virtually everyone used, loved and defended, were like that

Were you actually using Windows back in those days? Absolutely nobody loved or defended them. We used them because we had to, not because they were good.
Hmm, Ubuntu, Debian and Fedora seemed to do this fine on my system. No futzing required.
That doesn’t clarify anything about your knowledge. The specialized hospital cleaning crews are in the ER every day and dozens of hours per week in the OR, but that doesn’t allow them to practice medicine or perform surgery. Proximity is not the same as practice.

The medical practice (until a few years ago) was profoundly and intentionally misinformed about the addictiveness of Oxycodone and Oxycontin. You brought up a question about why people didn't learn from the Opioid Wars, but your flippant question could just as easily be applied to the MDs who wrote the prescriptions.

Medical doctors are smart; they MUST know about the Opioid Wars and the horror the opium wrecked on Chinese society for centuries. Why would they prescribe such a dangerously addictive compound to injured and vulnerable people having the worst day of their lives?

Instead, you blame patients with little choice (or capacity to evaluate choices) in a terrible situation. And, if you talked to any addicts, you'd sure find that the top of the "victim totempole" is actually really crowded with people who got there the exact same way. That is no coincidence.

The fact of the matter is that Purdue intentionally misinformed everyone - doctors, patients, caregivers, and family. They used marketing, propaganda, bribes, recognition, and myriad other tools to convince everyone that their product was different. Doctors, knowing full well about the Opium Wars, wholeheartedly believed the propaganda. I wasn't the first patient to be discharged from the hospital with a multi-month supply of opioids. This was a common practice.

The worst part is for someone who claims to be around addicts, you think I am somehow unique in my story. My story is so mundanely typical that it should be nauseating. Medical treatment is, by far, the most common way addicts start with opioids. 75% of all heroin users whose addictions started in the 2000s reported that it began with prescriptions from their doctors.

https://nida.nih.gov/publications/research-reports/prescript...

I genuinely suggest you spend some time talking to the addicts around you rather than judging them. You'd quickly come to regret the flippancy of your statement and probably have some empathy for their situation. These were regular people with jobs, families, lives, hopes, and dreams. In a crisis, they entrusted medical doctors to make the best medical decision for them, and the price they paid was their future.
I read this comment on one of the threads on reddit:

> It broke because of /r/politics. When a discussion thread gets meaningfully past 30,000 comments, it starts to lag subsequent submissions to that thread, and then lag the entire site, until there's eventually a full chokeoff. The debate thread ballooned to an insane number of 56k before mods locked it, at which point the comments in there were 25 minutes behind realtime.

> Had the /r/politics mods locked the first thread and started a new one properly, it wouldn't have caused a sitewide issue. But this has been a problem since forever. It just rarely happens because there are rarely scenarios where enough people are commenting on a single specific thread so as to cause the cascade failure.
He misunderstands Harry Truman’s quote, “It is amazing what you can accomplish if you do not care who gets the credit.”

It's actually about politics (Truman's domain): If you insist on being the sole owner of some initiative, then no one else will want to work with you. If you allow other people to take some of the credit, then a lot of things become possible.

It's not that it can't be tortured into applying to his BS/BS thesis, but it doesn't particularly help.
I think most people only generally care about conflicts under two circumstances. The first is in places where they have preformed opinions - Israel and Palestine is a huge example there. It's also why the "messaging" from the media was completely ineffective on that conflict. People don't care about spinproganda in things they already have opinions on. But on things they don't have opinions on, they mostly only care if the media focuses on it. And the media tends only focus on things that the US political establishment focuses on. And said establishment only cares about conflicts that stand to affect our geopolitical influence one way or the other.

So for instance the Saudi "intervention" in Yemen is a great example of this reality playing out in real time. It's had hundreds of thousands of deaths and basically nobody cared, because the media scarcely brought it up. And the media rarely brought it up, because the US establishment didn't care. Relations with Saudi Arabia have completely tanked and they're fighting groups like the Houthis - so it was just a couple of "enemies" killing each other. Except now the Houthis have become quite relevant to US geopolitical interests, and so suddenly conflicts involving them become relevant to the US political establishment, and thus receiving substantially more coverage in the media.

You can see this quite clearly through a Google Trends query for "Yemen." [1] The Saudi "intervention" began in 2015. Internal conflicts in Yemen have been going on for far longer than that. Interest suddenly spiked in Yemen in the middle of October 2023. The Houthis began prohibiting Israel linked traffic through the Suez Canal on October 19th.

[1] - https://trends.google.com/trends/explore?date=today%205-y&ge...
In his older works at least, what he did well, was putting the dates of events in the near future. Some things were rather obvious (but in hindsight) as they were already happening and extrapolating wasn’t that visionary (smartphones and the cloud), but his brilliant thing was that he didn’t move them further to the future as others did; that looks a lot better with the year indeed somewhat close to the years we will remember it as in the history books. GenAI he was even too optimistic about but others of his time thought this was decades to 100 years off as they thought (and many still think) agi is very far fetched even now. I (Msc in AI from the 90s) was one of the people who thought before 2023 that 2045 would be impossible; I said we are 100 years or more away from it. Now I am not so sure. I haven’t read his later work (yet) but it seems he is better with timelines than others and you should be when predicting something; what use is it to predict something in 100+ years? You and your predictions will be long forgotten by then, so might as well be bold.
Golang: Thread-safe array,slice,map,stack and queue
Yeah I didn't believe in this sort of thing at first... Every other task app had kinda let me down y'know. Todof sounded like another joke with the nags from fictional guys like Doop Snogg "haha sure". But now I'm halfway through a report and can't seem to ignore Shakespeare's "eloquent rants". Crazy how Friederich Nietzsche too's in my head whispering madness lol.
Grammar also often comes from a reanalysis process, involving a stage where what people are saying doesn't change, but how they view the internal structure of what they're saying does.
National Treasure 3: Relics of the Silicon Valley
It's surprisingly easy. Both sides can generally be expected to lie, propagandize, and create misleading reports of various incidents. But those incidents are indeed generally true. So all you need to do is to look at what both sides are saying, find the overlap, and there you have the truth. Of course in this process you lose all the narrative, spin, and details - but that's more of a feature than a bug.
I imagine these terms could have changed over time, but consider that a warm boot might have meant power off and on with these old computers.

One difference is that the valves have more chance of burning out on a cold boot due to the temperature change.
You must advertise to potential mates who you are from the start, so that you naturally attract those who like your deal and chase away those who don't.

I met my second wife this way, and our 6 years together were the best of my life. She was killed by a Russian tank in Ukraine in January, and I miss her more than anything.
No they’re not. Government officials can take bribes and participate in insider trading.
My main OS was Tumbleweed until I recently switched to Guix System.