MurphyA/hacker-news huggingface dataset:
by Spivak | 2025-06-04 22:07:14+00:00
My apologies, I'm using strep in the layman's terms meaning any bacterial sinusitis.

This is great and all but it ignores that getting an antibiotic prescription is not difficult at all. I literally just get in a video call, describe the symptoms of strep, and they write me a prescription. It's less expensive to treat than to test. In 15 years I've never had a doctor actually test me for what bacteria I actually have. They sometimes do the bare minimum of looking at it to be pretty confident it's bacterial but that's about it.

However stupid you think the general populace is, doctors count themselves among their numbers. Your average urgent care or primary care doc is just going to give the same broad spectrum antibiotics without any real thought. Except for the one bona-fide MD who looked at my very obvious case of strep, knowing from my chart that I have chronic bacterial sinusitis, and me telling them as much, looking at my puss filled tonsils and concluding that it's allergies and that I should take Claritin. Never go to urgent care man.
by TeMPOraL | 2025-06-04 22:07:14+00:00
Nah. It would just lead to more of classical search. Which is okay, as it always has been.

LLMs are not retrieval engines, and thinking them as such is missing most of their value. LLMs are understanding engines. Much like for humans, evaluating and incorporating knowledge is necessary to build understanding - however, perfect recall is not.

Another, arguably equivalent way of framing it: the job of an LLM isn't to provide you with the facts; it's main job is to understand what you mean. The "WIM" in "DWIM". Making it do that does require stupid amounts of data and tons of compute in training. Currently, there's no better way, and the only alternative system with similar capabilities are... humans.

IOW, it's not even an apples to oranges comparison, it's apples to gourmet chef.
by WalterBright | 2025-06-04 22:07:17+00:00
An unmentioned aspect is airplanes of that era did not have hydraulically boosted controls. They were designed according to the strength of men. This means under emergency conditions, women were simply not strong enough.

My dad flew B-17s, and with 3 engines out and just an outboard engine running, it took all of a man's strength to keep it straight. Usually, the pilot and copilot would trade off each 10 minutes.

When planes got larger, like the B-29, boost had to be added.

To accommodate female pilots, Boeing reduced the flight control forces in the 757.
by jillesvangurp | 2025-06-04 22:07:23+00:00
Are blind people not intelligent? Is it actually important to have a full understanding of the world? What about people that grew up in isolation? I think there are still some tribes in the Amazon that have had little or no contact with modern civilization. Are these people not intelligent?

There are some deep philosophical topics lurking here. But the bottom line is that you can obviously have intelligent conversations with blind people. Doing that with a person that is both deaf and blind is a bit challenging, for obvious reasons. But if they otherwise have a normal brain you might be able to learn to communicate with them in some way and they might be able to be observed doing things that are smart/intelligent. And some people that are deaf and blind actually manage to learn to write and speak. And there have been a few cases of people like that getting academic degrees. Clearly sight and hearing are not that essential to intelligence. Having some way to communicate via touch or something else is probably helpful for communicating and sharing information. But just a simple chat might be all that's needed for an AGI.
by chipotle_coyote | 2025-06-04 22:07:46+00:00
I think if you were already on a Mac and wanted to use Panic Nova, you'd be better off using Icaras:

https://extensions.panic.com/extensions/panic/panic.Icarus/

The one you linked to looks like it's just syntax highlighting; Icarus has that, but also has LSP, building, and debugging support.
by Hikikomori | 2025-06-04 22:08:01+00:00
https://www.project2025.observer/

Its ongoing, and this is just phase 1 of whatever they've cooked up. But its not like all Yarvins ideas are happening, its an amalgamation of his ideas and Christian fascism. It's likely they will just Trump at some point and then they'll have their true puppet believer as president.
by famouswaffles | 2025-06-04 22:08:19+00:00
>But the thrust of the critique of next-token prediction or stochastic output is that there isn't "intelligence" because the output is based purely on syntactic relations between words, not on conceptualizing via a world model built through experience, and then using language as an abstraction to describe the world. To the computer there is nothing outside tokens and their interrelations, but for people language is just a tool with which to describe the world with which we expect "intelligences" to cope. Which is what this article is examining.

LLMs model concepts internally and this has been demonstrated empirically many times over the years, including recently by anthropic (again). Of course, that won't stop people from repeating it ad nauseum.
by coldtea | 2025-06-04 22:09:27+00:00
Well, it's not about being monotonically the case year-over-year, but the overal "weighted average" direction of the vector pointing towards less right-wing.

Obviously e.g. the Weimar youth was liberal and partying and then Germans turned to fascism in the 30s. But that was a temporary setback, not the general direction of change. Overall Germans of 20th century are much less conservative and right wing than Germans of the 19th century, same for 18th century and so on.

It's also not really about antiquity, but about the arrow of modernity (say, 16th century onwards). The concept of left/right wing is not something applicable to Pagans and Romans (although both were way more "right wing" than the Christian era if we try to judge them under this anachronism).
by slt2021 | 2025-06-04 22:09:40+00:00
Programming languages are created by humans and the training dataset is complete enough to train LLMs with good results. Most importantly, natural language is the native domain of the programming code.

Whereas in biology, the natural domain is in physical/chemical/biological reactions occuring between organisms and molecules. The laws of interactions are not created by human, but by Creator(tm), and so the training dataset is barely capturing a tiny fraction and richness of the domain and its interactions. Because of this, any model will be inadequate
by tsimionescu | 2025-06-04 22:10:05+00:00
That is one way of implementing such conditionals in hardware, but it's just one aspect of the computation. First, we can both agree that in the next clock cycle, a single instruction will be executed, not both instructions that could result after the jump - so clearly the hardware doesn't always do both things.

Secondly, if we think about the instruction decoding itself, it should become pretty clear that even if the hardware of course always exists and is always going to output something, that's not equivalent to saying it will compute all options. If the next instruction is `add ax, bx`, the hardware is not going to compute both ax + bx and ax - bx and ax & bx and ax | bx and so on, and then choose which result to feed back to ax through a mux. Instead, the ALU is constructed of logic gates which evaluate a single logical expression that assigns each output bit to a logical combination of the input bits and the control signal.
by onli | 2025-06-04 22:10:17+00:00
There is no such restriction in the law. The relevant section reads like this, section 3:

> an original manufacturer may not use parts pairing to: ... Cause a digital electronic product to display misleading alerts or warnings about unidentified parts, which the owner cannot immediately dismiss.

So of course there can still be a notice, it just has to be dismissable. But Apple (the main company using part pairing against customers right now) has to stop making their products unusable when non-OEM parts are used for a repair.

Side note: Be aware that baseless concerns like this echo propaganda against Right to Repair. You might have been infected by some Apple follower talking points there.
by markbao | 2025-06-04 22:10:35+00:00
I think it’s user preference. For me it’s easier to get to the punctuation asterisk (basically muscle memory and <0.5s) than to tap the formatting menu, wait for the keyboard sheet to go down and the formatting sheet to go up, tap Bold, then tap the X and wait for animations to complete again (which I have no muscle memory for and need to look at every UI element that I’m tapping).
by LegionMammal978 | 2025-06-04 22:11:18+00:00
> I don't understand what you mean by decision.

I'm talking on a lower level than the clock cycle or instruction. Let's say circuit A takes X and outputs foo(X), and circuit B takes X and outputs bar(X). We want to build a circuit that computes baz(X, Y) = Y ? foo(X) : bar(X), where X is available before Y is. Instead of letting Y settle, powering up one of the circuits A or B, and sending X into it, we can instead send X to circuits A and B at the same time, then use Y to select whichever output we want.
by cylinder714 | 2025-06-04 22:12:13+00:00
A 1993 article from the U.S. Naval Institute's Proceedings on how her lack of radio savvy was a major factor in the tragedy:

https://www.usni.org/magazines/naval-history-magazine/1993/d...

An example: she or somebody had a retractable antenna optimized for long-range high-frequency/shortwave radio removed prior to the flight—crazy!

HN discussion: https://news.ycombinator.com/item?id=39239964
by modeless | 2025-06-04 22:12:38+00:00
> it will probably not be very safe, otherwise nothing would stop Tesla from rolling out “the safe” autopilot to car owners today, unless you think that something will change in one month and we are getting some kind of breakthrough in software, so it seems like taxi will run today’s software.

The last version of FSD to increment the major or minor version number was released last year. There haven't been any big upgrades since then, they've only incremented the patch version number. Before that it had improved extremely rapidly for many months. The June robotaxi launch represents at least 6 months of improvement over the current public version of FSD, not one month. It's clear the team has focused exclusively on the robotaxi launch, and given the incredible pace of improvement of the public version in the year prior to their change in focus, I could easily imagine a huge improvement over the current (pretty good!) release.

Not only that, but I think there's a pretty good chance that the robotaxi version of the Model Y will include updated compute hardware, which I expect will significantly improve the performance of FSD just by virtue of running larger models. The difference between the HW3 and HW4 versions of FSD is quite significant with the only difference being compute, so it seems likely that even more compute could improve things further.
by citizenpaul | 2025-06-04 22:13:26+00:00
>If details of that deal leak, it's a big embarrassment for the company.

Intermediaries.

Also IMO the risk of someone whom is not already rich turning down that kinda money is so close to zero that it is effectively zero. No risk.

If everything is securities fraud then by that logic it would not be considered in making sketchy deals. Also as you double state, it only matters if the company is public anyway. Hmmm is openai public? Are any of the AI players besides MS,Oracle,Google? Short answer. No.

I'm not sure why with all the public unpunished criminal behavior we see nowadays you have such trouble believing that there really are lots of paid shills for such a hyped product.
by colechristensen | 2025-06-04 22:13:41+00:00
>These institutions are not above criticism

And there's a troubling problem that the criticism isn't being addressed.

One of the reasons we're in the political extremist situation is that the only ones seemingly capable of getting anything done are the fascists with no respect for rule of law. People get so sick for so long of nothing getting better that large numbers of them are turning to extremists who are actually addressing problems. Not in good ways or ways that many of us support, but they're in power because they're doing something.

Reasonable people failing to address reasonable problems encourage extremists. Now more than ever we have to do a great job of fairly managing our own house or it's going to get taken over by people will do it one way or another.
by krapp | 2025-06-04 22:14:04+00:00
I don't know about other liberal democratic societies, but there are plenty of people in the US who take Mein Kampf's ideas seriously, and there have been since it was published. Hitler credited America's genocide against Native Americans, segregation and eugenics ideals as an inspiration in it.

American culture has never been entirely averse to authoritarianism, so long as it sends the correct signals (white majority, Christian sympathy, anti-government.) There will always be a significant number of Americans taking such ideas seriously, this is simply inevitable in a culture whose second most foundational principle is the right to shoot people with guns.
by hu3 | 2025-06-04 22:14:53+00:00
Copilot in VSCode has autocomplete and also something they call "next edit".

In my experience, next edit is a significant net positive.

It fixes my typos and predicts next things I want to do in other lines of the same file.

For example, if I fix a variable scope from a loop, it automatically scans for similar mistakes nearby and suggests. Editing multiple array values is also intuitive. It will also learn and suggest formatting prefences and other things such as API changes.

Sure, sometimes it suggests things I don't want but on average it is productive to me.
by ameliaquining | 2025-06-04 22:15:25+00:00
I don't think anyone's under the impression that this is a perfect solution. But it's better than nothing, and the options are this, nothing, or a security barrier that can't be bypassed with a permission prompt. And it was determined that the latter would break too many existing sites that have legitimate (i.e., doing something the end user actively wants) reason to talk to local devices.
by floxy | 2025-06-04 22:15:26+00:00
>How could adding an EV system to that make it so much more likely to ignite, but so unlikely to ignite when it's just the EV?

I have no idea, but just spit-balling:

- Heat from the engine causes premature embrittlement of the high voltage wiring harnesses insulation system, causing failures that lead to short circuits. Causing more fires.

- Layers of grime/oil from the engine / oil-changes that gets on power electronic components. Electronic component fails in a way that lets the smoke out. In an EV, this just disables the vehicle. In a hybrid, the extra layer of oil catches on fire.

- Power electronics components under the hood are subject to much higher operating temperatures, due to proximity to the engine, leading to earlier failures, of which some cause fires, due to the closeness of flammable liquids.

- Fully battery electric vehicles are more pampered / maintained / see less severe operating conditions. BEVs more likely to be stored in a garage where they get charged, maybe fewer mice chewing through the high voltage cabling, etc..

- Hybrid batteries are stressed more, from the much more frequent full charge cycles. Batteries also see more heat from living in the engine bay(?). Hybrid batteries are included in more budget-minded vehicles, with lower price points, and so the batteries are sourced from less reliable tier two suppliers with less quality control? Adds up to more failures and more fires?

- Are the more frequent hybrid fires equally distributed across manufactures? Or is Toyota on one end of the spectrum and say Stellantis on the other?

- BEV-only companies have obsessed over weight in the quest for efficiency, which reduces wiring and parts count, which reduces failure points that can cause fires. Where hybrids and EVs from traditional ICE companies have a less optimal BoM, with more components reused from existing product lines, leading to additional complication in the design with more failure points.

- Hybrid fires are predominately associated with crashes. The engine bay is crammed with more components, because of the dual power trains. Crash causes flammable liquids to escape, and a high voltage system failure ignites the flammable liquid. BEVs in a crash would have the ignition source, but no fuel. Gas-only has the leaked fuel, but no ignition source. Hybrids have both.

- Hybrid vehicles are more popular with less affluent owners. Vehicle gets in a moderate accident, cousin Vinny gives it a once over to get things running again, possibly overlooking damage to the high voltage system that manifests as a fire later on.
by mingus88 | 2025-06-04 22:15:28+00:00
> If your party has an encumbent President, you run the President. No other candidate would have the same amount of power

Of course both of us are speculating, but my view is that this is conventional wisdom in unconventional times

The democrats keep playing with a rule book that the other side threw away a decade ago. This is why they lose.

Republican voters are fed a steady diet of misinformation on everything the Democrats do. The hatred of Biden on the right boggles my mind, since he was such middle of the road guy, just keeping things status quo. Hillary also had decades of baggage from talk radio hosts and Fox News against her.

But of course Harris was weaker. It’s telling to me that despite her weakness, nominating her caused a panic on the right because it instantly nullified all of their canned attacks against Biden.

Imagine what would have happened if they’d fostered a new, young and unencumbered by Fox News propaganda presidential candidate.
by UncleOxidant | 2025-06-04 22:16:01+00:00
> When you went to buy a new appliance, did you feel like the appliance was designed to intentionally screw you as much as possible via planned obsolescence

I feel like it's way worse now. We bought our first home in 1990. It was built in 1974. The Whirlpool dishwasher was original from when the house was built. It was harvest gold, but we discovered there were almond and avocado green panels inside the door and you could switch them out if your decor changed, meaning that they were planning for this dishwasher to last a while. In the 20 years we lived there we only had trouble with it once and it turned out that replacing a solenoid was quite easy to do. When we moved to another house we rented that house out. That dishwasher lasted until 2014. A dishwasher that lasts 40 years is unheard of now. Our last dishwasher barely made it 7 years.
by hyuuu | 2025-06-04 22:17:46+00:00
one point the author seems to be missing as to why we need full self driving everywhere is in the logistics industry. We are talking about interstate driving, from point A to point B, in this case it might involve industria environments such as a truck stop, weighing, loading/unloading etc, something that requires decision making across different environments (urban, highway, dense residential etc). Tesla FSD has the real potential for this unlock, more than just a ride hailing use case of getting people from point A to point B.
by Animats | 2025-06-04 22:18:03+00:00
Tesla is probably going to fake it using human remote drivers. Tesla has been running ads to hire the drivers.[1]

That has all the costs of the self-driving hardware, plus the costs of the remote drivers, but it maintains the illusion that Tesla is a growth company.

[1] https://insideevs.com/news/760863/tesla-hiring-humans-to-con...
by bicx | 2025-06-04 22:18:13+00:00
Elixir and BEAM are my all-time favorite choice for building networked or pipeline-heavy systems. I used it every day in production for several years, and while it’s a hard sell for recent projects (and generally the wrong call), I enjoy keeping up with it as much as I can.

Thank you for writing this book! I really wanted this a few years ago as I was debugging production Elixir, but existing learning sources were pretty dense and dry (or too simple and shallow).
by paxys | 2025-06-04 22:19:25+00:00
People accept permission prompts from apps because they conciously downloaded the app and generally have an idea about the developer and what the app does. If a social media app asks for permission to your photos it's easy to understand why, same with a music streamer wanting to connect to your smart speaker.

A random website someone linked me to wanting to access my local network is a very different case. I'm absolutely not giving network or location or camera or any other sort of access to websites except in very extreme circumstances.
by jqpabc123 | 2025-06-04 22:19:52+00:00
If if they do what they say they are going to --- even if they steal all of Uber and Waymo's business --- the current price of TSLA stock still can't be justified.

Uber is just minimally profitable --- without investing large sums in autos or assuming liability for their operation. No way Telsa can do so, undercut them on price and be crazy profitable all at the same time.
by hollowturtle | 2025-06-04 22:19:55+00:00
I keep getting back and forth between Cursor and Zed, but Cursor autocomplete and next cursor prediction are still the best in class between all the competitors, I don't use chats and agents, yet I feel very productive and fast. I sometimes go back to Copilot too just to see how is it going but it has been very delusional so far regarding code suggestions. The only thing I hate about Cursor is the overwrite of some of the shortcuts of vscode, I remapped some and learned some new, and that vim mode plugin is a bit buggy. This and the fact that performance compared with Zed is shit and that's why I go back to Zed sometimes, I'm pondering the idea of just using both and keep them both open
Show HN: Floco – Enterprise AI Infrastructure with 600% Performance Boost
by FLOCO_Architect | 2025-06-04 22:20:03+00:00
Enterprise AI infrastructure delivering 600% performance gains through conversation-only development.

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Document : https://drive.google.com/drive/folders/16gDCvyeo2BNVAQ0PRIbl...
by DebtDeflation | 2025-06-04 22:20:47+00:00
In my experience there's really only three true prompt engineering techniques:

- In Context Learning (providing examples, AKA one shot or few shot vs zero shot)

- Chain of Thought (telling it to think step by step)

- Structured output (telling it to produce output in a specified format like JSON)

Maybe you could add what this article calls Role Prompting to that. And RAG is its own thing where you're basically just having the model summarize the context you provide. But really everything else just boils down to tell it what you want to do in clear plain language.