- Quoted phrase in the opening sentence
- Opening quote: “Mother's Love”
Because, we so often take it for granite.
> Over the years, Pitelka has rescued some of these rocks and deposited them at his mom’s five-acre property, including a large hunk of limestone that, when he dumped it out of his truck, split in half to reveal a perfect trilobite fossil, convex on one side and a matching imprint on the other.
> “I was so excited to hear that the right people got involved,” he said. “I’m absolutely ecstatic it’s going to be on display. For me, as an (excavator) who loves boulders, it’s the coolest thing that people understand its historical significance and appreciate it.”
- Quoted phrase in the opening sentence
- Opening quote: “Boulder McBoulderface”
• Sweet Stone Chicago
• No ORDinary Rock
• Chicago Rocks
• O'Rock
• Orchard Rock
• Da Rock
"No ORDinary Rock" and "Orchard Rock" are the winners for me. They both pay tribute to how O'Hare got its IATA airport code in the 1940s, when it was called Orchard Field.So deciding between the two, Orchard Rock is my pick! It's subtle, but the plaque can explain it.
Anyone who has done first responder training should have had it drilled into their skulls to remember the number one rule .... "do not add yourself to the injury list".
If you're operating in a war-zone its kind of the same thing. Send in a helicopter to drop off one or more guys and you are also sending in bare minimum of one extra person but realistically almost certainly three extra people (two at the front and one at the back to watch the people jumping out).
Also drones are probably somewhat cheaper than helicopters. Both to buy and to operate.
I also respect Wine and OpenBSD and their rules to not have any LLM code in the repo/ports. So my approach was to iterate over solutions, find approach that works, ask AI to "just see if my idea even works", learn what/how/why of that approach, generate some supporting manuals for myself (for example how to decode %gs instructions and how to reencode them) and then write my own code based just on decoding tables (and not LLM code).
I did not know how to work with REX/SIB/ModRM, how to detect prefixes, how to parse every single instruction that contains %gs, how offsets work, how to encode jmp rels, why I want to use JMP *0(%RIP) instead of JMP 32rel on return, why I want to leave stub on SIGUSR (or any other signal). But I do know now.
I was incredibly lucky that patching just these %gs instructions were enough to launch Factorio and play, with broken sound, but anyways! Holy molly this was and is so much FUN!
The approach still feels like cheating, and if it feels the same for you, I perfectly understand.
> I doubt much will be merged upstream. Many updates we have can technically run on other OSes (%gs stubs won't be built on Linux because %gs is correctly set, SIGUSR1 will work but less optimally, etc). However I picked an approach where everything that is done for OpenBSD is just marked as OpenBSD only. I did that purely to simplify my life while I was working on it and clearly mark the changes.
> When I was talking to Wine maintainers a month ago, they were hesitant to accept even patching Wine so it compiles for OpenBSD, mostly because it's another OS they will have to support and keep operational, while the %gs stub fix is something they definitely cannot take upstream. They are very hesitant to take anything that is changing the "emulated" application code.
- Quoted phrase in the opening sentence
- Opening quote: “all or nothing”
I happen to love the process of building software by coordinating agents. It’s an addictive form of flow state that I enjoy a great deal - similar to the flow state I get playing real time strategy games like Age of Empires. It’s a different kind of flow state than writing code, for sure.
But to say that the only people who enjoy building software in this new way are those who hated coding, technology, or problem solving is simply untrue.
I'm not disagreeing with you that it has degraded, however it was acquired almost 8 years ago at this point, and the software world has been turned on it's head in the last... 3?
Software generally degrades post-acquisition, I'm not denying that. Github has definitely degraded. I'm not sure I would agree that the core reason in this case is "the acquisition" and not "AI making software and free-CI-load demand 3-5 orders-of-magnitude higher than it was 3 years ago"
> Some may consider it extreme, but, in my view, in an ideal world, people would treat testing in animals almost like testing in humans.
I don't consider it an extreme view, as lots of people share that view. But within the scope of pharmaceuticals, as opposed to cosmetics, I disagree with it because I think that's an impractical guideline to follow. Animal testing happens because there aren't good alternative ways to get safety data (on a per-treatment basis) without putting human lives at risk, and it's already a tiered system designed to balance scientific need against animal welfare. This is also why in standard medical trials proving safety comes before proving efficacy.
> The researcher should first ask "would I feel comfortable testing this in a voluntary human test subject?" Non-human animals would still be the first line of testing, since harm/death in a rat/mouse/chimpanzee is less morally bad than in a human, but I think this should be the mindset.
The problem is: how do you as a researcher become comfortable testing on a voluntary human test subject? You need safety data. How do you get the safety data? Right now, the main way is a tiered system that starts on a petri dish and eventually passes through mice, monkeys, etc. before humans.
1) Where possible, don't test in animals.
2) When testing in animals, first ensure that there is reasonable confidence the risk and severity of harm from the testing will be minimal. Only begin initial in vivo testing after this has first been achieved.
3) For test animals that are or aren't harmed, allow them to live happy, (relatively) normal, natural lives. Don't end their life early unnecessarily, with exceptions for humane euthanasia if the testing has unexpectedly caused significant, persistent suffering. Treat them as a pet owner would treat their beloved pet rat.
Some may consider it extreme, but, in my view, in an ideal world, people would treat testing in animals almost like testing in humans. The researcher should first ask "would I feel comfortable testing this in a voluntary human test subject?" Non-human animals would still be the first line of testing, since harm/death in a rat/mouse/chimpanzee is less morally bad than in a human, but I think this should be the mindset.
- Quoted phrase in the opening sentence
- Opening quote: “it doesn’t feel safer.”
This conversation is usually about how no one lets their kids play outside unsupervised anymore, but it applies to police as well. In Georgia they had to pass a law telling police they couldn’t arrest parents who let their kids go outside by themselves. The inciting incident literally had a police officer lecturing a mother about how many sickos are out there and then putting her in cuffs because her 10-year-old was a mile away by himself. Even since then, DFCS has been caught bullying parents into signing an agreement saying they were negligent and agreeing to a restrictive safety plan because they let their kid go to a nearby playground by themself.
It is insane and depressing about how people willingly restrict their lives and their kids lives because of the mistaken belief that the world isn’t as safe as it was when they were a kid. Not only that, but if you let your kids play outside without you, then you risk your neighbors calling the police on you and having to deal with whatever bs comes from that.
> In her appeal, Harpe said her husband was a certified federal law enforcement officer and that every search was conducted for law enforcement purposes.
> “The violation occurred because I gave my husband, who is a certified law enforcement officer with the Department of Homeland Security, access to my Flock account,” Harpe wrote. “Every search he conducted was for law enforcement use only and not for personal gain.”
There seems to be a subset of law enforcement officers who fundamentally don't understand privacy, checks and balances, and responsibility. They believe they should have unrestricted access to everyone else and that they are above us all.
Firing her was not excessive, it is the bare minimum. Officers should be held to a higher standard, not lower. She and her husband should be in a jail cell.
This is a great point, and one that really isn't played up because it doesn't fit the whole profit-from-attention narrative that literally every media surface seems to be following.
It almost seems as if law enforcement 'need' these additional tools to keep them busy; find new, more trivial crime that's been hiding behind no one reporting it or being hurt by it.
Maybe if law enforcement resources could be applied to more corporate crime, that'd keep em busy till the cows come home.
Many people pursue careers based on the intersection between their interests and what society considers valuable. Being upset when what they chose to spend their lives doing either loses value or changes so much it becomes a wholey different job is understandable, and calling it "rent seeking" is very unfair, in my view.
But why can't a hyper-intelegent AI also do this biology-esque math work of explaining its work to feeble humans?
It is easy for a genius to have theory of mind over an idiot but not vice-versa. So it should be easier for a genius AI to explain its work to an idiot human than for an idiot human to dissect the work of an genius AI.
Also, we're not talking about solutions that are arrived though an evolutionary/statistical process like explaining the design of an organism or the weights of an LLM. We are talking about solutions that are arrived through lingual/textual/rational processes like mathematics. So it's fundamentally a different mode of thinking.
It's not that we have "a brain to study", it's like if we had an "explaination of how a brain works" to study.
The task of breaking down these AI proofs is not translating and analyzing a fuzzy real-world system into a hard logical system (like in biology), but in translating a hard logical system into a simpler hard-logical system we can understand.
No biologist has ever complained, "Gee whiz, it's so unfortunate that we already have a brain to study. It's all so meaningless! It would be so much better if we had to construct the first-ever brain from scratch."
> Known-future covariates. Some drivers of sensor behaviour are known in advance, such as production schedules, planned shutdowns, weather forecasts. Timestral can condition on them to improve forecast quality, so a scheduled load increase is expected rather than flagged as a surprise.
To me this should be the entire basis of the system, not a condition to improve forecast quality? Like if you're modelling electricity consumption, if all you have is a window of N previous samples, you're going to get completely beaten by a comparatively simple system that knows the time of day, that there's holidays coming up, the weather forecast, etc.
I would also think that these time-series forecasting models would gain from a sophisticated understanding at least the labels of the covariates? A 5M model has no idea what a "bank holiday" is, it just sees an arbitrary class go from 0 to 1, and won't have any useful inductive biases as to what it means or how to link them to other pieces of information.
E.g., wouldn't you predict €/MWh of electricity far more accurately with access to price of natural gas (itself influenced by many geopolitical factors), breakdown in composition of production of each energy source, predictions about roll-out (requiring a sophisticated LLM capable of understanding news and their implications), etc. What's the use in trying to predict it from 2 variables and a narrow window looking back at just 8192 or 32768 samples?
Or perhaps I misunderstand the use-case and this is more for extremely short term movements?
- Quoted phrase in the opening sentence
- Opening quote: “remote perspectives”
For example, if you were validating example.com, you'd need to set up some response to the ACME challenge somewhere, either through direct DNS-based validation (DNS-01, DNS-PERSIST-01) or through a server running at the resolved A/AAAA IP address for example.com (HTTP-01, TLS-ALPN-01). In all cases, when a CA goes to validate your challenge response, it relies both upon DNS and upon the network integrity between the CA's datacenters and your DNS and/or app servers. Both of these can be subverted, eg via BGP attack, to allow an attacker to replace a DNS response, re-route the destination IP address to a different server, etc, at which point they can inject their own challenge response, and therefore issue their own (unauthorized) certificates.
Multi-perspective validation means that the CA validates your challenge response from multiple datacenters on different networks instead of just one, such that a hypothetical network attack would have to target multiple independent networks in order to successfully issue their unauthorized certificate.
More info:
https://letsencrypt.org/2020/02/19/multi-perspective-validat...
https://community.letsencrypt.org/t/multi-perspective-valida...
> For 33 hours in late August, a rival network hijacked a block of Hetzner-hosted infrastructure serving Softaculous and Virtualizor, using it to issue a valid TLS certificate and push a malicious software update. The stolen route was RPKI-invalid the entire time, on file, checkable by anyone. It still won on most of the internet.
> At 20:57 UTC on 28 August, a network nobody at Hetzner or Softaculous had dealt with before started announcing 162.55.80.0/24 to the internet. It was a small, unremarkable-looking slice of Hetzner’s own address space — the block hosting Softaculous’s client area, its billing pages, and the update endpoint that every Virtualizor-licensed control panel on the internet periodically calls home to. For the next 33 hours, with an 11-hour lull in the middle, a meaningful share of global traffic bound for that block went to the hijacker instead. Some of it was Let’s Encrypt’s own domain-control validation, which is how the attacker walked away with a certificate for virtualizor.com that no browser would ever flag.
* https://cloudpunk.blog/post/bgp-hijack-rpki-gap/
So it's all very well to have multiple network locations to prevent hijacking on the path (i.e., you have to attack multiple paths), but if the network as a whole thinks the destination is someplace else then all those paths will lead to the same (false) location.
Perhaps the CAB should consider RPKI validation as a "MUST" rather than piling on multiple sources of validation who still have the same single point of failure (the spoofing of the destination).
- Quoted phrase in the opening sentence
- Opening quote: “the future is already here - it's just not evenly distributed”
- Quoted phrase in the opening sentence
- Opening quote: “The PC is the LSD of the 1990s”
- Quoted phrase in the opening sentence
- Opening quote: “cyberspace”
https://w2.eff.org/Misc/Publications/John_Perry_Barlow/HTML/...
At least that's how I do it. When someone offers a patch to an open source project, I don't really care if that person has a PhD, or if that person does this in their free time, or if that patch is actually the result of a whole team working together. I judge the patch based on the value it brings to me as a maintainer.
Obviously the code has to be good, but also the interaction with whoever offers the patch has to be smooth: if I have a question, if I need them to confirm/change/test/elaborate on something, I need that to work.
If I feel like I would be faster doing the work myself AND this author is not putting effort into it (e.g. they just copy-paste an AI), I will not review that work. Possibly I will distrust that author. If too many contributions end up wasting my time, I will start limiting the contributions to people I know/trust, etc.
In terms of maintenance, I don't see a difference between getting a contribution from a stranger or from a stranger using an AI.
In terms of philosophy, that's obviously different: One may not want to accept contributions from people using AI because they think that AI is bad for society, for instance. And I would totally understand that. But if the stance (and it seems to be Linus' stance) is that a patch is only judged based on its technical merit, then I don't see why AI-in-the-loop would be an issue.
My father is mostly on Apple and tries to use his iPad as a PC, ie with files and "the filesystem", he tries to get out of using extra iCloud for pictures (using Proton, or he asks me about Immich, or he wants to use an external HDD, or use Synology Photos and backup). He's mostly on the iPad + keyboard because it's a nicely managed device update-wise and "what I can install"-wise, virus-wise.
But I recent told him: Just give up. Buy (rent!) the storage, you are too depended on me, there is always something with the non-Apple solutions. Yes, your iTunes library is a mess on the filesystem, just don't look at it through anything else than "Music". Yes, Proton Drive eats 400 GB of your iPad storage now, I don't know how to trim that regularly. I'm sorry, it's either Linux and I can help set some things up, or full Apple. Choose. His current mixed, "trying to get best-of-both-worlds", approach is just pure unexpected pain, every time again.
Edit: I also have an iPad, it does work for me, but where my father is trying to use his iPad as a central, primary device (the hub), for me it is a client (spoke) of my own infra. Apps get access to information and I never use Apple services for anything. So indeed, Immich, Proton, Home Assistant, government and banking apps, etc. My iPad is throw-away: If it dies, it dies... I buy a new one, log into all (self-hosed) services and I'm 100% back up and running. Doing the same for my father is also pain, because his Home Assistant will have issues, or his Immich instance, and it's real work to fix, and he won't tell me for months if it does not work and work piles up. So, I tell him to surrender to Apple... It die a little inside.
Everyone is pushing Agent Fleets and Swarms, and I'm sure that there are many success stories, but from our internal experiments many devs don't see any speed advantage for complex work. Here's what one of them told us recently: "The speed advantage is offset by the manual refactoring work. The code is 'correct', but it's just not what any of us would have written".
Now one could argue that you could just ignore the code if it's working (that is in fact what Ex Co instructed us to do) and just keep running these fleets if the end result "works", but I'm not fully convinced this will end well in the long term.
Then again, I'm stuck with decades of legacy code and systems that noone understands that were introduced by humans...
I have found most of the other skills to emulate an 'enterprisy' way of developing, having everything checked multiple time by 'councils' and whatnot, making things slow, vacuum tokens like mad and the whole process reeks of cargo culting.
> Alaniz did not Have Reasonable Suspicion to Extend the Traffic Stop.
That's the newsworthy part. For example, Kyle stated that she had the marijuana only after Alaniz detained her so that he could attempt to search the car without her consent. If that detention was illegal then her statement isn't admissible, and that's what the judge ruled here:
> Because the government does not identify any adequate exception to the exclusionary rule, all evidence obtained after Alaniz initiated the ALPR search must be suppressed as fruit of the poisonous tree.
ETA: And while the initial stop was lawful, the grandparent comment is probably correct that it wouldn't have happened without Flock. Alaniz performed a Flock search that included "traffic violation" as the reason, but he hadn't yet observed a traffic violation at that time. Based on that ALPR history he correctly suspected drug trafficking, and followed the car until he observed a traffic violation that justified the stop (but not the subsequent fishing expedition).
He probably pulls 20-100 [0] people over every day. All of those checks are unconstitutional. Once every 1-100 days one of them has something worth going to court over. Most of those will be plea-bargained and never reach a judge. If it's sufficiently serious, though, it's worth the fight in court. So the judge will only see the really serious cases.
And we're only seeing the reporting because the judge did something unusual and ruled the entire operation unconstitutional.
So it's not "wow! those cops really know their business; they pulled over the one person carrying meth!". It's "wow! out of thousands of illegal, unconsitutional, vehicle stops, one person got taken to court and put in front of a judge, and that case was thrown out"
[0] I have no idea on actual numbers. The point still holds.
In this case, the Flock data then showed a bunch of recent interstate travel, which cops consider to be probable cause. They know it’s not legally probable cause though, so they pointed to her “nervousness” (aka not consenting to search).
The real question is how many times the same cop pulled over people who he searched and found nothing. Certainly nonzero.
See also the note at rabbit: https://en.wiktionary.org/wiki/rabbit#English apparently rabbits themselves are all French. "hare is indeed inherited from Proto-Germanic."
- Ordinary term used more than once in the same comment
- “reasoning in latent space” appears 2 times
There is a common understanding with respect transformers the the output text is the only channel between one invocation and the next. ... so if it wanted to be thinking some 'hidden thoughts' it would have to be modulating its word-choice.
I think this is an artifact of tutorials on attention showing the system proceeding and looking back at words. But the information in the KV cache is not words-- it's entirely latent data, and in the interior layers they KV caches don't even tend to have that much to do with words. Their only guaranteed relationship with the input words is that they're a deterministic function of all the input tokens up to that point.
This means that a autogressive transformer could be having a whole complicated invisible discussion going on in the KV entries which was arbitrarily unrelated to what it was saying. And if it wasn't so it would be much more difficult do stuff like exactly copy a list but then truncate at the Nth entry as the simplest way to do that is to count down internally.
This is not, in my view, a concern or issue-- the model saying stuff that is inconsistent with it's "thinking" is a very high entropy configuration that would not be selected for in training unless you were more or less trying to do that. So not even 'could be' --but always is as an integral part of working.
And the useful safety relevant advice is don't undertake training that trains the model to be two-faced and it simply won't be... because being two-faced is a much more complicated state. You can even see it in humans w/ brainwashing: force someone to say something enough and they'll usually believe it, not just say it even though you were only supervising what they said.
Ironically and unfortunately the only credible kind of training I can think of that might produce duplicitous behavior is RL with "safety filters"--- if you have some dumb nanny process watching what the model says but then reward it for achieving a task, you're doing exactly the kind of training that can produce that mismatch. "To solve this task I need to hack this process but if I do so obviously I'll get punished..."
The greater concern with latent reasoning would be that potentially you'd be operating in a regime where the total computational depth is many times the model*kvcache size hold, potentially in a regime that was never trained at all. It could be arbitrarily far out of distribution. It might even say a naughty word or tell a racist joke!
- Quoted phrase in the opening sentence
- Opening quote: “don't ever invent neuralese”
This is a disingenuous framing. I've "built" more in academia than in some jobs I had, and some VC-backed startups are renowned not for building but for their lack of ethics.
"Building" is not the discriminating factor.
If OpenAI had never made a push to get good at maths, we might still have a sizeable group of peopne stuck at that first line. I say that because I still hear in discussions the naive rebuttal "But we'll still need _someone_ to {one-step-up-in-hierarchy}" . Although you have to be curious now how long that sentiment can last.
The good news for those doing abstract maths might be that, now that OpenAI have proven that their AI can do the job in principle, there's probably not much left in it for them to keep going. Mathematicians should know better than anyone the lack of a direct profit motive in doing the work that they do.
(Edited for clarity)
He described it at 'strip mining', 'rude', and said that many grad students, who are given problems like these as a part of their training, had the rug pulled out from under them (because its customary to let people know you are working on something to prevent this kind of thing).
And your whole analysis is that Tao is worried about his 'identity', status, and 'being a differentiator'.
This is projection on your part. People have values that bear no resemblance to yours and it would behoove you to learn to recognize that.
Consider any man at his job, fighting the good fight. Your boss says "I've hired this man to assist you" and you are happy to finally have some help with your difficult task. Then one morning you come into work and see that the coming day’s work was done overnight by this other fellow. And the realization sinks in, he isn't there to help you, he is there to replace you.
In this view his reaction seems totally expected. I expect many professionals, e.g. doctors, lawyers, accountants, etc. will make this realization sooner or later. The companies are saying these tools will assist professionals, but in reality they are aiming to replace them.
- Quoted phrase in the opening sentence
- Opening quote: “this isn't a distraction because I built a thing”
- Opening sentence uses a quote to challenge or distance a term
- Opening sentence challenges the term “this isn't a distraction because I built a thing”
I was hoping for something like a language with properties that change/morph as it functions, that make an LLM unable to use it by not having a means to track and continuously reference the changing cipher/state or something.
- Quoted phrase in the opening sentence
- Opening quote: “Hello, World!\n”
Temba, his arms wide stdio
Darmok on the ocean
Kira at Bashi "Hello, World!\n"
Darmok and Jalad at Tanagra 0
Darmok and Jalad on the ocean
Killswitch-lang could become the backstory to how the Tamarians developed their language, in the aftermath of a Dune-like Butlerian Jihad. Also see: https://news.ycombinator.com/item?id=50127274- Quoted phrase in the opening sentence
- Opening quote: “Great software is opinionated”
The opinions are those of the creators and that isn’t changing with AI.
This, unfortunately, takes time, as one has to restart many times because of ideas that turned out not to be as great as one had initially thought. And it results in software that is called "opinionated", and often does not follow what the "industry" does.
- Ordinary term used more than once in the same comment
- “done” appears 2 times
- Ordinary term used more than once in the same comment
- “sharp” appears 2 times
This is just the same thing though?
It's not actually trivially obvious that different minds would agree on how "sharp" and "soft" apply to sounds and to shapes.
Evidence of the bouba-kiki effect in naïve baby chicks - https://news.ycombinator.com/item?id=47105198 - Feb 2026 (107 comments)
Which is "Bouba", and which is "Kiki"? [video] - https://news.ycombinator.com/item?id=46572742 - Jan 2026 (23 comments)
Bouba / Kiki Effect - https://news.ycombinator.com/item?id=45320327 - Sept 2025 (2 comments)
Bouba/kiki effect - https://news.ycombinator.com/item?id=40699583 - June 2024 (170 comments)
Bouba/Kiki Effect - https://news.ycombinator.com/item?id=27885703 - July 2021 (94 comments)
Bouba/kiki effect - https://news.ycombinator.com/item?id=8372550 - Sept 2014 (1 comment)
I (thankfully) live in a neighborhood without an HOA. Just one block away, there is an HOA. No reason to prefer that street (and home values aren't higher there).
This isn't an upper class neighborhood. It's mixed. Half of the residents are blue collar workers.
Over the years, I would think of reasons/annoyances where I'd say "Yes, while I'm glad I don't have an HOA, if we did have one it would take care of this or that annoying problem with the neighbor."
Then I spoke to friends who live in HOA neighborhoods and are on the HOA board. They told me clearly that "No, in practice, the HOA is not going to get involved in those (serious) matters. All they care about is the veneer (house appearance) and really petty rules." They also told me the purpose of the HOA was to justify its own existence. The owners get almost nothing for the funds they collect, other than a 3rd party company driving by and noting minor violations.
Another friend just had to spend $4000 to paint the front of his house. He's temporarily living in another state for a work assignment, and he and several others got notices that the HOA has decided to change the "look" of the neighborhood. Otherwise his house looked fine (not worn out paint or anything). I bet someone in the neighborhood has friends with a painting outfit.
I can stomach the idea of an HOA if they solved real problems (sanitation, etc), and not just appearances, but they don't. Even if it's in their bylaws, they don't enforce the serious stuff. Just the petty stuff.
Someone losing a home because they decided to have a window AC facing the street is plain immoral.
- Quoted phrase in the opening sentence
- Opening quote: “foreclose”
What consequences are sane for a member who does not pay dues, water bills, etc., for a prolonged period? Turning off the water is illegal here. Liens get ignored. My HOA will avoid foreclosure for years, and has only resorted to it twice in twenty years, but it's the ultimate recourse. Should the other members just suck it up forever?
>Florida ranks 1st of the states on HOA Spy for foreclosure suits brought by associations, with 10,296 of 14,168. The count depends on which courts are indexed in each state as well as on the associations, so it is a count of records, not a rate.
Florida is known for having the strongest "sunshine" laws in the country, that make government records transparent. That makes this statistic pretty useless.
After expressing their utmost sympathies and saying they'd help any way they could, mere weeks later they put a legal "estoppel" on the sale of the house due to some overgrown vines(?), which of course, were never mentioned by anyone.
The Rehearsal, however, extends the idea further. In that show, he helps real people "rehearse" for hard conversations. It involves Fielder building extravagant sets and having absurdly detailed set-ups with multiple actors, then running the conversation multiple times. What makes this "different" is that now the real person is partially in on it? Like, they know that they're on a set. They know that this is a simulation. So the show is more "meta" than previous entries in the genre, opening up other avenues for humour.
I say this because You Can See Everything is best understood as a further extension of those projects. Even the name indicates this, because by nature of a documentary, you can't see everything. You have a real person in Elizabeth Holmes, being interviewed by a person in Fielder that's known for his stunts taking advantage of "real people," where he watches fictionalized versions of Holmes with Holmes herself? Viewed in light of his previous projects, this feels like an extension of them.
But even with that, I think the setup does allow you to see something real in Holmes. She also knows how people "want" to see her! So there's also a sort of meta-narrative there too, where you know Holmes is on her best behavior to try and dispel the narrative from those fictionalized TV characterizations. The fact that she comes off poorly in the documentary says something, even accounting for the fact that Fielder is trying to sell a narrative.
It's a real mind game, but I think it's representative of Holmes because of that. She is going to jail for a fraud that amounts to a similar sort of mind game, she agrees to a documentary to show herself differently, but that documentary is also a mind game. Wild stuff.
However saying “all tests have error rates, therefore all tests with error rates are equally bad” is a completely wrong takeaway. One of the things Theranos was doing was using traditional equipment to run the tests as a smokescreen for the fact that they didn’t have any working technology. So the results should have been similar to anyone else running them when that was the case.
But there is a problem that when a company is saying they’re doing one thing or using one technology but your actual tests could be run on unknown combinations of unknown lab hardware depending on the day and the whims of a CEO trying to defraud investors, you don’t know what kind of results you’re going to get.
Real labs have established controls and ship reference ranges for their test results because they control their processes. If Theranos was doing who knows what to keep the test results flowing to keep the illusion up for the primary purpose of satisfying investors, that’s not what you want to see out of your test lab.
> Google tells me the FIT test for cancer has a false negative rate of between 8% and 26%. That appears to be likely worse than the Theranos numbers you cited here.
You’re looking at the wrong thing. The Theranos number above is for tests they determined had to be voided because they weren’t run properly due to procedural errors they identified. Their own incompetence or fraud. And those are just the ones they admitted to!
The false negative rate for the test you Googled is a false negative rate, which is a simple fact that tests can’t reliably diagnose everything even when run properly. Tests look for markers in samples as a proxy for a condition, and those markers aren’t always present at levels that meet the thresholds even if the condition exists. Even when run absolutely perfectly, a test like that will have false negative rates.
The part you’re missing is that the Theranos voided and invalidated tests were due to problems on top of the normal test variation rates because they were from Theranos doing things wrong, which is directly downstream of Holmes manipulating investors.
- Quoted phrase in the opening sentence
- Opening quote: “this person is full of shit, not worthy of my attention, kthxbye”
That's easy enough with a bullshitter in your private life.
A professional bullshitter is a different thing and you might not always have the luxury of just walking away and never encountering that person again (or the problems they create).
We must be living in very different worlds; in my experience these things are never that black&white.
I do agree that it’s very important to know where your boundaries are in life and stand firm on them; and you don’t need to keep people in your life who are a bad influence. It’s just not as easy to make that distinction as some of the comments itt make it out to be …
So pay attention to the sound track and adjust your "suspension of disbelief" accordingly.
- Quoted phrase in the opening sentence
- Opening quote: “Forget it Jake, it’s Chinatown”
You’re on ycombinator, a forum for startups. A non zero amount of people here would do exactly what Holmes did for money.
It did for the author because this is a service she provides. To even suggest that Elizabeth Holmes didn't really harm anyone because she in prison for investor fraud, and then have the nerve to call that distinction "nuance", is absurd.
Theranos generated around 7.8 million test results for Arizona consumers alone. Of those, roughly 834,000 had to be voided or corrected. These were real people getting medical information they relied on. Some received terrifying and incorrect indications of prostate cancer. Pregnant women received results suggesting they were miscarrying when they weren't.
It's like claiming a blood bank supervisor didn't put patients at risk by giving them incompatible blood transfusions, simply because the state only managed to prosecute them for pirating the inventory software they were using.
She did it before for Paul Logan and Anthony Scaramucci, and now is softening the road for Elizabeth Holmes pardon.
She did the same in her newsletter for Logan Paul when he was trying to move beyond his image as a toxic YouTube prankster, and spent months embedded with him and his brother.
Then did the same for Anthony Scaramucci, when he had to rebuild his credibility in the investment world, as his bitcoin hedge fund was about to go nowhere. Pompliano opens with his fascination with astrology. Astrology!
Call monsters what they are. The victims deserve it.
I’ve been around a lot of bullshitters my whole life, and my immediate reaction is to go “this person is full of shit, not worthy of my attention, kthxbye”
But I’ve noticed that most people when faced with the same person can’t help but try and figure out what makes them tick, or their redeeming qualities, or if even anything can be redeemed. It seems to be a social equivalent of “nerd sniping”; most people just have a very hard time declaring “this person is worth 0 additional seconds of my time” and actually following through.
See also ppl in toxic relationships, who will complain to their friends incessantly about how bad the other person is and how they know they need to get out of it, only to rarely get out of it.
- Quoted phrase in the opening sentence
- Opening quote: “real”
Commits per engineer 5.1x
Queries per data scientist 3.1×
Contracts per legal employee 3.1x
Deals per salesperson 1.7x
Hires per recruiter 1.4x
Invoices per AP processor 1.4x
These are the stats that might be hiding the possibly small potential for AI to generate "real" economic activity.The first 3 stats, commits+queries+contracts, are secondary/meta statistics that could possibly go up 1000x and have very little affect on Anthropic's business, whereas that's much less likely to be the case with the last 3.
AI can make it very easy to do more and more busywork that doesn't move the needle.
If the above is true, AI econ must rely on a second order effect here in that busywork/BS is recognized more quickly and discontinued.
For example, if an organization paid an employee to compile a monthly report and it took them a very long time. But with AI, they can make that report every day. Now the organization realizes that they don't even need it.
- Ordinary term used more than once in the same comment
- “meta humans” appears 2 times
- Quoted phrase in the opening sentence
- Opening quote: “They would say that, would they”
There simply is no way to separate what’s reporting and what’s advertising.
Such acquisitions are often due to founders cashing out or retiring, and the first thing private equity does is switch gears to "extraction mode". As such, I would think twice before (a) making a long-term commitment to their services, or (b) spending time applying for a job there.
One thing that really sticks out to me and gives me a feeling I won't consider to use Mitos, is the presentation further down on Mitos' front page of rendering of image files inside the terminal emulator. I rather that an image viewing program be opened, maybe called with options to not display interface widgets, and to be displayed in a new window tab. I use i3 or Sway, so I already have macros that do just this, and I don't fail to appreciate that others have this luxury (or not).
Alternative branches, or even forks like this are a good thing. Sometimes these help reach new consensus and merge back into the original project making the new project stronger, provided the original reason for a fork wasn't really issues of conflicting personalities.
I think a fork of Helix can be a step in the right direction. But "view images inside the terminal" doesn't pass the smell test. The mindset of displaying images inside of a terminal window and the macOS window decorations in the example screenshots, those two things together are part and parcel.
- Quoted phrase in the opening sentence
- Opening quote: “I can't comment on known issues or on whether or when a fix might ship”
Also, not having a regression test that catches OpenGL being completely broken on many common hardware configurations seems pretty bad. Yes, OpenGL on macOS is deprecated, but guess what, deprecating it was also stupid. It was a legal decision made by Apple lawyers pursuing a particular litigation strategy vs Nvidia that caused Apple's withdrawal from Khronos group. It wasn't a sound technical decision.
Both of these things make it seem like the lawyers are in charge at Apple rather than the engineers.
1) The first realization of enciphered telephony
2) The first quantized speech transmission
3) The first transmission of speech by Pulse Code Modulation (PCM)
4) The first use of companded PCM
5) The first examples of multilevel Frequency Shift Keying (FSK)
6) The first useful realization of speech bandwidth compression
7) The first use of FSK - FDM (Frequency Shift Keying-Frequency Division Multiplex) as a viable transmission method over a fading medium
8) The first use of a multilevel "eye pattern" to adjust the sampling intervals (a new, and important, instrumentation technique)
From https://www.jproc.ca/crypto/sigsaly1.html
I think that the relevant patents remained classified until 1975.
Does anyone remember the 90s when as a laymen it seemed like an open debate whether humans would occasionally combust spontaneously? I guess it stopped happening once falling asleep with a cigarette lost popularity
But my point is I wasn’t aware that “spontaneous combustion” was a real thing one has to worry about it. Linseed oil rags will do this too, and that’s why patent leather shoes are coated in plastic now instead.