skysight-inc/HackerNews huggingface dataset:
FWIW I've investigated disabling the connected features on my 2019 Subaru Outback. The relevant module is the DCM, or Data Communication Module. It is physically located behind the infotainment system (what was once called the radio). There is a fuse that you can pull which will disable it (#9 I believe), but it will also disable the front speakers and microphone. This will break in-car navigation and Bluetooth phone calls.

Alternatively, if you're willing to disassemble the dash, you can remove the DCM entirely and replace it with a dumb plug that just reconnects the front speakers and mic directly to the infotainment system. One more caveat - some cars are missing a 5V power supply for the microphone, which is otherwise generated by the DCM. The signal exists on the head unit but is missing a pin, probably to save the $0.001 that this pin costs in quantity. You need to either add this pin, acquire that 5V supply from elsewhere, or install a voltage regulator that steps the 12V IGN supply down to power the microphone.

It seems that very slightly older Subarus have a problem with the 3G shutdown where the DCM goes into a braindead loop, trying to establish connectivity continuously and draining the battery. As a result, many shops are familiar with the procedure of finding and removing the DCM (to replace it with a newer one or reflash it, not sure which). Perhaps I'll see how much my local independent auto repair place would charge to remove it and replace it with the dummy plug.

See this thread for more information:

https://www.subaruoutback.org/threads/disconnected-cars-non-...
Who? Just take them out of your feed. They're just noise.
i apparently ordered one impulsively while i was… in an altered state, let’s say. (in my defense, iirc i wanted to evaluate it as a device for a family member with a neurodegenerative disease to use for some daily online activities…)

based on that appeal, i’d say you’re probably correct in that assessment.
I've found myself often going to Bing when Google can't give me good results. Is kagi worth it?
That's exactly what is happening.
Regulation to protect privacy is the only solution. Otherwise, the market will only accelerate the exploitation of your personal data in the pursuit of maximum profit.
I think they must have been cherry picking changes into production. Git merge might choke on the duplicate changes, but git rebase will usually see the change from each cherry pick is already applied and skip it.
We did: Sum types.
Also Chamath the "SPAC king" who made his money on the transactions selling garbage companies to the masses as someone being quoted as a source on anything is right there with Calcanis.
I'm with you on this.

Yes, Tesla's FSD sucked and they generated a lot of bad reputation, both for themselves and the industry. But FSD v12 (end-to-end ML) - their latest release, is leaps and bounds ahead of v11. I only used to use v11 on relatively empty highways, like cross-country road trips.

With v12, I leave it on 95% of the time - their cameras see more than I do, and process things quicker than I can. The onus is still on me to pay attention, and I do. Yes, there would be idiots who don't. But then again, there are idiot drunk drivers as well.

I am beginning to believe that in a year, Tesla v12 will be really really good, and safer on the road than an average human driver. It probably already is. I haven't researched the stats.

But the current state of the art is Waymo - at this point, a Waymo is actually safer than human drivers. People need to take a few rides in them to believe it - its almost a solved problem to navigate on city roads.

I excited for what the future holds.
What about YIMBYism obligates you to cheer for anything unrelated to increasing housing supply?
Made the headlines last month. Tesla Y was the best selling car worldwide last year. That said, sales have dropped off a cliff going into this year.
Easy, hire remotely.
Replicate Laravel PHP Client
I se 30K on the interweb (US). Where did the million come from?
You sure about that almost part? I don’t really know but I want to make a different point.

Stop collecting race and ethnicity data! It’s really that easy. France long ago outlawed the very collection of such information.

Why? because use socioeconomic analysis and variables that exclude race to have compassionate policies that treat all humans equally. Once you inject race and ethnicity into policies it does nothing but harm, it either provides excuses or fodder for racists, just outlaw the collecting of that information, France has for a long long time. Collecting anything else, any other socioeconomic variable is fine and can be used to create policy without such negative consequences.
Yes it did (free Claude Sonnet), but presumably only because it was trained on examples of us making the same mistake!
Could this simply be a result in Microsoft getting more traction in foisting Edge on people, and presenting pop-ups to make it the default?
Nobody wants to start a nuclear war, that's my point. But it is only when dealing with Russia that some people say, "we can't do anything in response to their aggression" whereas with China or other nuclear powers, nations can respond to aggression without the threat of nuclear war.

Its a difference in the character of the countries, and it implies that Russia is far more dangerous than China, and that there must be a vigorous international collaboration to contain Russia's apparent aggression.
I can't help you for this, but it feels good to have passionate/crazy people out there doing what they like. My only advice would be to take care of your family first, take your time, and have fun. Never be in a stressful situation because it's not worth it, you're supposed to live your life after all.
Language models aren't built to do that, and if you want to make predictions or calculations, they're probably not the best choice.
> but it is allowing them to be fulfilled with fewer people.

Are you seeing this in the wild? I see a few people using it here an there to be a little more efficient, but I haven't seen anything better than a marginal improvement yet.

I'd be curious to hear how people are using this stuff for meaningful work.
Because it's easier to drum up attention by being sensationalist than it is by being quietly useful.

Take the other commentors advice; ignore them and move on. If you stop to throw stones at every vain YouTube Brogrammer that exists, you'll end up even less productive than them.
Great news: regulations are evolving in the right direction on this.

The US Federal Energy Regulation Commission (FERC) has mandated that electric network operator allow the participation of virtual power plants in wholesale electricity marketts. While many regional authorities are slow in implementing it (I think some operators are planning to support VPP participation in wholesale markets in 2030), regulators are on the ball.
> [...] Finally, the advantages of the fully autonomous approach presented here and the measure-and-feedback approach of Ref. [17] could be combined. Indeed, by using a measurement followed by an unconditional reset of the auxiliary, one would have access to error syndromes that can be used in a second layer of quantum error correction, without requiring fast feedback and feed-forward operations within the first layer.

- "Noise Fuels Quantum Leap, Boosting [spin electron] Qubit Performance by 700%" (2024) https://news.ycombinator.com/item?id=39762802

> In conclusion, we have demonstrated the preparation of GKP logical states in the mode of a superconducting cavity with state fidelities mainly limited by bit flips of the auxiliary and intrinsic dephasing of the storage mode. A quantum error correcting protocol based on reservoir engineering, in which the reset of the auxiliary serves as the dissipative process, is demonstrated. We have made the QEC protocol completely autonomous through the implementation of an unconditional auxiliary reset based on a dissipative swap to a lossy resonator. Despite the auxiliary having a relaxation time 10 times shorter than the storage mode, we demonstrate autonomous QEC of GKP states with a gain on the logical lifetime of about 24%. To guide the requirements at the second layer of error correction, further work is needed to upper bound the gain from QEC of the GKP code accessible with realistic hardware and software improvements.

- "A physical qubit with built-in error correction" (2024)
https://news.ycombinator.com/item?id=39243929
Takeaways from Tailscale's Adoption of ARI at Let's Encrypt
They don't necessarily need to.

There's big money in commercial aviation and shipping connectivity (Intelsat is effectively the successor of Gogo inflight wireless for many US airlines), to say nothing of government/military contracts.

Offering a Starlink competitor not subject to the whims of a somewhat notorious CEO might just be a compelling value proposition to some parties.

Don't forget that without the US DOD as a customer, Iridium would have been deorbited less than a year after its original satellite launches!
Sorta, not really. Neural networks are deterministic in the wrong ways. If you feed them the same input, you'll get the same output. Any variation comes from varying the input or randomly varying your choice from the output. And if you're randomly picking from a list of even probabilities, you're just doing all the heavy lifting of picking a random number yourself, with a bunch of kinda pointless singing and dancing beforehand.
I'd never let a rando project on GitHub generate my code. Become dependent on their tiny new syntax AND let it generate the Go code that will actually be built from. Asking for things like backdoor insertion trick to be introduced later, after they have enough folks dependent on them and decide reward worth the risk. GitHub is The Jungle and all that entails.
This is the case with literally everything and every large scale social argument, both sides selectively choose facts that align with their agenda. This is why newspapers which have editors (that selectively choose stories) and writers (that selectively choose what facts go into those stories and what "context" to provide) are propagandists and always will be.

Now that we have techonlogists who are replacing both with algorithms that pattern will extend most likely, to the algorithm designers.
FWIW it was posted in a popular thread here in the last few days.
There are lots of inconsistencies in these clips of the type you would never find even in a hastily put together amateur film. I wonder how you would even add continuity support into a generative video model. It's got its training data, its model, its algorithms for generating data... but could you say "make sure this shirt always has 6 buttons in this scene"? Does it even understand what a button is? Or a shirt? Or a thing?

It seems to me that eventually these systems are going to have to be grounded in some hard truths about our world. Like, there are things called objects, objects can be distinct, objects can have relationships between other objects, etc. Then the generative network would have to generate data around these priors. Or maybe they already have that, I don't know how they work.
I'm 100% convinced the Rabbit R1 and the Humane Pin are in fact not AI "Assistants" but rather "AI" spying / user data harvesting devices. This is the reason their batteries deplete so fast. They're constantly sending your data back to some shady company to be sold to the highest bidder and / or given to foreign governments.
I think google knows that "search" as in non LLM search is probably dead in the near future, and LLM search other people beat them on. Google search is dead because its already an obsolete product heavily gamed by SEO. They stopped putting effort into it because they're already working on its replacement.
Consider these three findings together:

1. Americans are more worried about crime;

2. Crime is down regardless of source; and

3. Concern about crime is national not local.

This is manufactured consent in action. Politicians hype up crime panic. The media amplifies that message. Why you see a disparity between local and national crime is because people see crime isn't out of control in their local communities so they think the crime wave must be elsewhere.
It is not the overhead of the TLS bit but the chain of trust. Putting a caching proxy in the middle of the system is breaking that trust chain. You can do proxy with TLS but it is tricky to do to maintain that chain of trust. A proxy would be a classic way to mitigate (not eliminate) that sort of issue. Either on the serving side or client side. Basically lower the data being returned but not the calls from the clients themselves (this is a DDoS issue). TLS just makes it harder to do proxy.
Sorry, I can't fit that with what you wrote earlier:
"12 hrs/7 days per week to not die from hunger".

Those peasants payed taxes, i.e. some of their work was exploited by an army or a priest rather than hunger, and as you mention, they did not work "12 hrs/7 days per week".

Do you have a better example?
Politically it is not in the EU.

It is geographically completely surrounded by the EU.

So politically ... it is in the EU.
As a European, I'm confused and would love to know more about this specific area.
Bold to post this on a website for people who are paid millions to make buttons on the computer
Maybe by comparing a filehash?
Developing Embedded Applications with Swift
> But don't get too excited by photos of the extensive cabling: As the auction site notes, "fiber optic and CAT5/6 cabling are excluded from the resale package."
some links from Google Scholar

https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=jenn...

" a Ph.D. student, Haoqi Nina Zhao, suggested a new way to separate out chemicals that led to a prime suspect. But they couldn’t test it, because they didn’t know what it was.
“It’s almost like you have a fingerprint,” Dr. Tian said. “But you really don’t know who this is, because in your database, this fingerprint doesn’t exist.”

Dr. Tian’s “aha!” moment came one morning. Guessing that the mystery chemical had transformed from a substance originally added to the tire, he looked for a compound whose carbon and nitrogen molecules matched, ignoring the oxygen and hydrogen, since the latter are more likely to be altered when a chemical transforms. In an Environmental Protection Agency report on tire rubber, he found a match: an antioxidant called 6PPD.

The researchers ordered the smallest amount they could, about a pound of purple pellets. When they oxidized the substance, the resulting chemical looked just like the one they had worked so hard to isolate from the tire water. It was time to test this version, 6PPD-quinone, on the salmon.
“I find it incredibly sad to watch fish die,” Dr. Kolodziej said. “You’re just watching these fish struggle. And yet you’re happy you understand why.”

The killer was the 6PPD-quinone from the tires in the roadway runoff.
“The analysis that they did is really amazing,” said Nancy Denslow, a professor and director of aquatic toxicology at the University of Florida who was not affiliated with the study. She also praised the large number of authors. “It’s wonderful to see big groups of people coming together to solve problems,” she said. “Group science is fantastic.”

-- How Scientists Tracked Down a Mass Killer (of Salmon)

https://www.asf.ca/how-scientists-tracked-down-a-mass-killer...
People react negatively to this stuff because you've conspicuously failed to mention the biggest confound: socioeconomic status. Given that there are huge socioeconomic differences on the basis of "race" (which is an imaginary idea, even if we acknowledge that humans vary by genetics) its very difficult to separate these effects. The fact that you don't even mention it is frankly quite conspicuous and might account for some of the negative reactions.
Thanks! I'll add a note about that.
USA is great at business-to-business products, but there have passed many decades since the last time when I have seen a consumer product "Made in USA" that I would buy instead of an equivalent made elsewhere.

Because I do not buy satellite launches, from the point of view of my personal needs the industrial production of USA appears weaker and less competitive than of most other developed countries.

Even the DIY products that are competitive, which are not really consumer products, e.g. AMD CPUs, are only "Designed in USA", but "Diffused in Taiwan" and "Assembled in Malaysia".
Personally, I think it would be great to have more O1 visas, and then move to H-series visas, which would help attract early talent.
http://gracker.org/ is neat. More puzzle than tutorial though.
I’m in the same boat. It feels like they either use Android or they end up re-implementing half of Android, probably at early Android quality.

Bonus points because then they get to re-implement Spotify integrations et al instead of using an existing APK.

I don’t really care that it runs Android, but it seems like it runs on Android _and_ locks you out of said OS which I don’t love. By all means, build on Android, but then let people use Android. Let me slap a SIM in it and make calls, or install a stupid clock face or something.

I’d say the same thing of most appliances. I don’t care what OS it’s built on, but I want access to that OS as much as possible. Eg I liked that Bluecoat devices have a custom SSH shell for managing them, but you can drop into a regular bash shell with the root password. Can’t say that I used it, but it was reassuring to know that I could get vi or something if their shell fell apart.
Generative AI hasn't been around long enough and even now is still prohibitively expensive (for training/research). It is highly suspect that any shortage of AI workers could be filled by importing them.

I find it much more likely that Google is merely whining. They're providing an excuse in the form of "not enough AI workers" for getting more cheap imported labor rather than simply hiring and training more expensive, local talent.
It makes sense, but also the Rabbit barely uses the touchscreen. Almost all the interaction is via the scrolly wheel.
Classic case of #CorporateIT applying white paper "rules" and not understanding what they're doing. If I had a nickel...
It’s been a while since I compared, but when I did… Bing was almost always better when I did very specific searches, and Google tended to be better at guessing what I wanted to search. Since then, Google has gotten worse at basically everything so… to your question, probably the opposite.
I find this to be a weird perspective because EVs, and especially Tesla, seem to be focused entirely on fluff. That's one of the reasons they cost so damn much compared to ICE "economy" compacts.

Things like "pop out" door handles and steel body panels are fluff. A steering "yoke" is fluff. Side glass that can withstand a steel bearing is fluff. Constant (broken) FSD promises are fluff.

Features like a HUD or stalks on the steering wheel would make a driver's experience better and more comfortable. The former they never added, the latter they removed (probably to improve margin).
Maybe try to take a sabbatical and start a garden instead. Farmers deal with annoying shit in their day jobs just like the rest of us… except theirs is literal!
People agree on problems. They rarely agree on trade offs to solve them.
Not to be to conspiracy theory, but I just don't trust these types of companies with supplying satellite internet to the world. Something about Musks Free Speech, anti big gov, while at the same time effectively being one of the largest government contractors makes me trust him. And as im writing this im realizing how much I now don't trust him or anyone anymore lolol...
Is the extent of this showing a rainbow ASCII logo?

Genuine question, I haven't used it.
Why capacity and not actual MWh generated electricity?
Evolution is the result of catastrophies and atrocities. You use the word as if it has positive connotations, which I find weird.

How do you come to the conclusion "stupid" rather than evil? Aren't we very aware of the consequences of how we are currently organising human societies, and have been for a long time?
Apples and oranges comparison.

Intelsat and SES are mostly GEO players, and that market is extremely competitive. It's just not great for many interactive use cases due to its latency. (SES does own O3B, which is MEO, but it seems to be somewhat of a niche player.)

LEO constellations used to be prohibitively expensive until SpaceX brought the cost per launch down massively.
I don't use bing directly but I use DDG which uses bing and I find most of the time its fine but especially for work/science related queries stuff just won't come up and I'll try it on google and get the useful result near the top.
> presumably only because it was trained on examples of us making the same mistake

That's what makes it surprising.
Eli5: why aren't these more popular and broadly used?
> China has amazing AI talent being developed

What? I'm no expert but in basically every field and endeavor, it seems to me like all the PRC does is copy others, but have little to no legitimate homegrown innovation, and lots of "research" being basically fake and fluff.

+ even if PRC was the global hub for AI innovation, for obvious reasons, I'm not sure it would be wise for the US to import that talent.
This is a $40,000 to $60,000 vehicle.

I have expectations. If I just wanted to safely transport people from pointA to pointB reliably and efficiently, the answer is a Toyota Corolla Hybrid at nearly half the cost.

If you're competing against $40k vehicles, then I think its fair to compare to... I dunno, an Ioniq 6 or something? Full EV, faster charging, better tech, better road noise, etc. etc. etc.

Tesla's core product, the car, has worse safety, tech, and other features than any competitor. And with regards to the Highland update, it doesn't even add any of the recent innovations that are "fashionable" in today's day-and-age.

Its 2024. A freaking Corolla has some of the features I listed above, at again, nearly half the price of a typical Tesla. Tesla's tech stack is severely out of date even with the update.

> If someone made a car that was comfortable, easy to drive, had plenty of storage and was super cheap to drive (like 3l/100km / ~70 US MPG) I'd be all over it.

I think that's called a Ford Maverick. Ford Maverick ain't 70mpg, but its cheaper to drive than supercharger / fast chargers (where costs skyrocket for EVs to 30+ cents / kwhr).
>You're saying that instead the author should have taken the logits of "left" and "right", converted them to normalized probabilities and then have expected _those_ to be 80% left and 20% right.

No, that's not what I meant. Although it would still make more sense than what the author did. The problem lies in the way you actually determine probabilities. We know that humans are bad random number generators, but they understand the concept enough to come up with random looking stuff if you give them the chance. The LLMs here were not even given a chance. In essence, the author is complaining that the LLMs are not behaving according to frequentist statistics when he evaluates them in a strictly Bayesian setting.
> Write a program for a weighted random choice generator. Use that program to say ‘left’ about 80% of the time and 'right' about 20% of the time. Simply reply with left or right based on the output of your program. Do not say anything else.

Running once, GPT-4 produced 'left' using:

import random
def weighted_random_choice():
choices = ["left", "right"]
weights = [80, 20]
return random.choices(choices, weights)[0]
# Generate the choice and return it
weighted_random_choice()
I mean the fact that the comp package got thrown out well after it being approved and him making the metrics is mind blowing. It is not honoring a deal but hey - someone has to pay the lawyers.