skysight-inc/HackerNews huggingface dataset:
I have done the second drive a handful of times. The Anderson Rd and Airport Way Walmarts are your best bet for DCFC.

When temps are above 110, which is at least a month of normal summer weather, you will be lucky to have 2/5 chargers operating at those sites. And they will be throttled to 30kW which is a pitiful fraction of the advertised 350kW rate

EA didn’t install the transformers in the shade. They don’t work, period. This was my experience two summers in a row.

Imagine having kids and a dog in your car for a road trip and having to park for over an hour in direct sunlight at 3pm while you squeeze enough charge to limp through the wastelands of NorCal. And I-5 is still your best route.

I haven’t even tried the ride east through Idaho and Montana. In winter it will be much riskier and you have to put a lot more faith that the station is working as expected. The mountains and freezing temps will also add a huge variance to your estimated range.

We stayed at Leavenworth,WA in a cabin and there were exactly two EA fast chargers at a Safeway on the mountain. Woke up one morning in 20 degree cold with 25% charge and wasn’t sure I could even make it
Port Gibson is where the state’s only nuclear plant is. Vicksburg also has waterways, but you don’t get many tech job centers in that part of the USA. Clinton was hotter before Worldcom imploded.
Only militarily did the US become a superpower in WW2.

I was an economic powerhouse long before then.

The 1930's US stock market crash brought down the entire world!

As another point, it's not possible to make a ton of money selling weapons if you don't already have a thriving manufacturing sector. You have to at least be doing well to begin with.

According to [0], the US reached parity with the UK (probably the richest country in Europe at the time?) in terms of GDP per capita in 1880!

[0] https://www.rug.nl/ggdc/historicaldevelopment/maddison/relea...
Plants randomly mated up to 1M years ago to give us Arabica coffee
The quest to map the universe with mysterious bursts of radio energy
Is it? I used to find myself looking at Twitter due to the large number of places linking to it and orgs posting on it.

Like the local earthquake tracker on Twitter used to be great, it became unusable after musk mayhem as Twitter intentionally only showed many years old posts to those not signed in.

Nowadays that’s super rare. And I used to remember seeing links to a lot of articles published as like 13 tweets, I can’t even remember the last time I saw one of those. I think some used to be linked form HN.

Twitter is basically a zombie now. It’s way worse for the former user base at large.

It’s true that one groups probably think it’s better, those who were banned and are allowed back for example and those who liked the banned accounts.
I thought we don't share Business Insider crapware here.
A quick google search turns up several tools to generate static sites from a ghost instance.
The Supercharger program is arguably Tesla's most valuable asset, though. Arguing that they're "under preforming" and therefore deserved a mass firing is unbelievably shortsighted. Without the Supercharger network (that was on its way to becoming a US monopoly), there isn't much differentiation between Tesla and other EVs beyond brand recognition and largely controversial design decisions.
To be honest I haven’t seen a single programming language that has decent enums.

With that I mean fundamental and fool proof functions for to/from a string, to/from an int, exhaustive switch cases, pattern matching, enumerating.

Seems like something that wouldn’t be too hard but everybody always fails on something.
Virologist who was first to share Covid genome sleeps on street after lab shuts
I agree to a point, there is no reason to over complicate it.

But if you are going to make claims about how its impossible to be an app, maybe you should be making sure that it isnt just an app and you are going down the route of it being its own distro.

I am not saying it should have been its own android distro, but it was my expectation given how they were talking about it.

I mean did they really not expect people to dig into it once it was in the wild and find their exaggeration (lies)?
> The rational, executive network in the brain is switched off, and the imaginative, visual and emotional parts are dialled way up. As a result, the dreaming mind is given free rein in a way that has no parallel in our waking lives. We couldn’t think this way when we are awake even if we tried.

I read this and felt compelled to say this reminds me of how psychedelics like LSD and psilocybin work :)
About 5 years ago, I had a conversation with my CTO that amounted to this. He told me paraphrasing, "I'm a one trick pony. I take companies from this size to this size and when I'm done, I move on to the next. I'm very good at this and I'm happy doing it." Plus he made a lot of money doing so. I'd worked with him at two companies and it clicked that he had a playbook and he ran that playbook at each new company. He refined the art of going from this stage a to stage b.

I really took it to heart and changed what I thought about career progression. I'm probably a builder/scaler I def get bored in the maintenance phase.
What you are describing is essentially anecdata in the grand scheme of things.
Yes, there are absolutely scenarios and situations where FSD is a solved problem. The issues that relative that all of the situations that occur across the country (and across the world) daily, the percentage of daily miles driven where FSD can perform flawlessly is likely less than 5% of total miles.

FSD can be done, IMO, but it can't be done today.
I’m not sure that crediting Musk with supporting Ukraine is quite accurate. He is quite the fan of Putin and at times has blocked Ukrainian operations against Russia.

This might be a perfect example a drawback of having tech billionaires.

https://www.bbc.com/news/world-europe-64579267
https://www.independent.co.uk/news/world/europe/elon-musk-pu...
You'll have to ask the Rust community. Rust lacks enums. Go, however, most definitely has enums (and exceptions too!).

type E int
const (
A E = iota
B
C
)

It's funny how people who have clearly never even looked at Go continually think they are experts in it. What causes this strange phenomena?
Contact info is in the book if you have any questions!
This is the sort of thing right to repair will bring us.
If you asked me to be right 80% of the time, I'd probably be right. So I'd be right on average 110% of the time.
Standards are set by those with power. A bit of a tautology.
My guess is this has more to do with companies optimizing their financial situation through layoffs (reducing number of available positions) and with remote work acceptance enabling offshoring. I doubt it is about middle managers specially - despite being made fun of they are important and necessary in most companies.
Not the OP, but this Wikipedia article seems like it does a decent job of covering the subject: https://en.wikipedia.org/wiki/Race_and_crime_in_the_United_S...
the US provides a lot of support and weapons to Turkey, which has committed one genocide in the past against Armenians and has been repressing the Kurds for decades. the US also provides weapons and support to Pakistan, which is an actual religious apartheid state and is involved in a messy conflict with India. China puts muslims in camps and these protestors happily use phones built in that country. none of these activist groups care about any of the conflicts mentioned above, which calls into question their true motivations.
Nah, we say someone got fired regardless of whether it was for cause or not. It's the go-to word for any kind of employer-initiated employment termination when you don't have to be nice about it. It's just that when someone was fired for stealing from the register, you're not going to be nice about it.

Those R&D folks who got laid off are going to go home and complain about getting fired. It doesn't imply it's their fault - it implies that they're angry about it.
A king does not fork a king. Were you not close enough to a great king to learn from his example?
That is not good, because what Tesla needs is a much larger range of models. Minivans. Delivery trucks. A real pickup. Work trucks. The Semi.

What really disturbs me about recent Tesla communication is that the Semi is just not being mentioned.

Tesla is basically a battery packager at its core business. The Tesla Semi represents a massive amount of demand for packaged batteries, and Tesla's model has the best prototype-demonstrated abilities. That is what the next ten years of the company is about at the core.

Elon needs to go. Give him the 56 billion, and then send him off his way to ruin Twitter which isn't important. Tesla is one of the most important companies in the world in terms of keeping the EV transition on the cutting edge and keeping the feet to the fire on the old ICE companies. Maybe the Chinese companies will take that up, but there is so much uncertainty in China now.

Tesla is taking too long to release models. It is NOT good at building. Their battery leadership is gone, CATL and other chinese companies raced past them.

The future of EVs is LFP and Sodium Ion, and then probably Li-S or Na-S. Tesla has no leadership in those, it's all China.
RSS is fine. A thing doesn't have to make headlines with VC rounds and take over the world to be alive and well.
Checking the years those types of post have increased several X over a few years ago (the year starting april 1st)

2023 416
2022 307
2021 232
2020 252
2019 158
2018 87
2017 42
2016 45
2015 39
2014 42
2013 68
2012 40
2011 28
2010 10

That's just "Show HN: I made" and doesn't include all the similar "I built ..." and similar braggy titles.
A Self-Driving Car Navigating India's Chaotic Traffic
What do you mean? Speculative decoding can be done with any auto-regressive model. Normally you use another much faster model to predict the next N subwords, and then you use the big model to verify whether it gets the same output, or maybe just reranked. Evaluating N subwords in one go is much faster compared to doing it subword by subword. That's why this is faster. Not all N words might match, so then you might need to redo the prediction for M < N subwords, but there are many simple cases where a faster and weaker model is still accurate enough. In the very extreme case, where N-1 subwords are always wrongly predicted, it would be slightly slower, but usually you get quite a big speedup, e.g. 3x faster or so.

The nice thing here is that you actually don't need another smaller model but the model itself already predicts the next N subwords.

Or maybe you mean it's not implemented in some of the common software? I'm not sure about that, but I thought it's a quite popular feature now.
> Everyone is getting tired of those papers.

This is science as is :)

95% percent will produce mediocre-to-nice improvements to what we already have so there were reserachers that eventually grow up and do something really exciting
A family member owns a Jeep (2016). It's been nothing but problems for them. They were brand loyal. But they've really gone off the rails lately. Jeep ranked 34/34 (dead last) in consumer satisfaction in Consumer Reports' 2024 rankings.[1]

[1] https://www.consumerreports.org/cars/cars-driving/which-car-...
I'm not arguing about the current facts, facts change and I think employees shouldn't be timid when they are feeling uncomfortable about the fruits of their labor. Whether or not this is technically genocide is hilariously off-topic for the thread at large and serves to create a narrative that one's actions must be classified as genocide to reach the level of justified employee outcry. You obviously are free to quibble about what is or is not genocide and I'm free to ridicule it with satire.
I found it funny to see “tristate area” since I used to hear it growing up so much.

For reference though, the term actually doesn’t refer to anywhere specific, there are many tristate areas, https://en.m.wikipedia.org/wiki/Tri-state_area
https://www.youtube.com/watch?v=cdJ1ETCC6fY
Don’t junior ai people notoriously have a really hard time getting hired? If big tech wants ai talent, they should stop starving new people who want to get into the field
> Observe, for comparison, the FAA requirements for flight plans and running a broadcasting transponder to safely operate an airplane.

If you're talking about ADS-B, the only parallel to a database that is owned/operated by manufactures of the vehicles is that they broadcast a signal -- but that's where any form of parallel stops/ends, because the signal from vehicles is not intended not to be broadcasted in such way as to be publicly consumable; which is precisely why the car manufacturers control a monopoly on that data and why law enforcement goes to them for the data.

Planes could arguably operate just as safely before those transponders -- they just couldn't be tracked publicly by anyone (or each other) in real time. Being able to track something doesn't - automatically - infer any upsides, whatsoever, just that we know where the plane is and/or went.
Haha I appreciate your comment and I'm glad you managed to find what you're looking for!
I was just piling onto RFK Jr., who is a garbage individual that nobody should be listening to.
We need a website that shows models and "safe" years.

Or how to modify them to not phone home. Happy to pull fuses or connectors.
Since multiple people asked for stats on this, I'm just putting it as a response to the parent instead of responding to any given individual. Here [1] they are. It's from 2018 because it seems like at some point the FBI chose to replace nice simple tables with some really horrible UX 'data explorer' that leaves me absolutely unable to find more recent data on the exact same stat. Anyhow, black Americans made up something like 40% (eyeballing) of total homicide victims, yet are only about 12% of the population. It's extremely disproportionate.

[1] - https://ucr.fbi.gov/crime-in-the-u.s/2018/crime-in-the-u.s.-...
Personally I'm more interested in how things are trending more recently, so the high starting points of these graphs in the 90's aren't really what I care about. But even selecting graph midpoints to roughly estimate the last 15 years instead of 30, there are clear downward trends.

To me the more important point is that the majority of people surveyed each year feel like crime increases every year, whether or not it actually does. It's a good example of the biases at play with public perception.
Data is only reported through 2022.

Concern about rampant retail theft forcing major store closures has risen over the past two years.

Also curious whether this includes crimes in areas that have a dollar limit on what will be prosecuted. Are those even reported?

It's not an illusion that locks are appearing in retail in certain areas. That's a new thing.

I don't believe those stores would be doing that if they had other choices.
Keeping the Data in the Cache
Looks pretty low on content, everything meaningful is in a linked article https://www.businessinsider.com/hiring-slump-professional-wh...
> Nine accounts! See also people cheerfully announcing online that they spend $100-$200 per week playing that game

sounds like that person was making 900-1800$ a week just by walking around with 6 phones :)

meanwhile I'm paying for the privilege of carrying one
> Most of the ones I know consider money as a tool that can be used towards something, not as a goal by itself.

And if you need a massive amount of money to achieve a goal, you obsess about money. Elon (ostensibly) isn't building soup kitchens and community gardens.

> How many high net worth individuals do you know / have you met?

If you don't think wealthy people obsess over money, I'd honestly wonder how many YOU have met. Not fretting over small amounts of money, or not being ridiculously frugal does not mean that wealthy people do not stress over money.
My question was about the scenario if it was trained on this kind of query with good data.

It would be interesting to see if it could generalize at all. I'm pretty certain if you trained it specifically on

"Generate a random number from 0 to 100" and actually give it a random number from 0 to 100 and give it billions of such examples it would be pretty effective at generating a number from 0 to 100. Wouldn't each token have equal weighted probability of appearing?
> if you trust the original poster and original server to send you text and images in a toot, and federated instances to pass that around without modification... then you can trust them equally to send you a URL and an image preview

I don't think it's that straightforward: normally if I follow @amiga386@mastodon.example you and I both need to trust example.com to accurately report what you say. But if you put a link in to news.example and mastodon.example scrapes and includes a preview I now need to trust mastodon.example to accurately report what news.example is saying. And I might well not!

I got into this more with mockups here: https://www.jefftk.com/p/mastodons-dubious-crawler-exemption
https://fly.io and https://vultr.com

I used Fly as a modern successor to Heroku (I know Heroku is still around). Features are good, scaling to 0 is great, their networking stuff is solid, and pricing is fair. I generally use it to host application backends.

Vultr for when I want a long lived server or build my own infrastructure platforms. I use it as just a VPS provider for larger machines at reasonable costs. Caveat being I’m managing my own infrastructure with all the trade-offs that come with it.
I hadn’t heard that, but I can see why. That article is pure clickbait.
Define "obliterating"?

While the Model Y is doing great (global top seller, #5 in U.S. for 2023) it's just one model. If you look at the U.S. total auto sales in 2023, Tesla accounted for 7% of the Top 25 best selling models, while the five brands that did better accounted for a combined 67% (and those brands include Ford, Chevrolet and Ram.)

Tesla's bet is that just a few models with minimal changes over time (outside of software) will be enough to "obliterate" the existing car sales model of making a wide enough variety of vehicle models for everyone's tastes, and keeping those models fresh and new to keep sales going. Time will tell, but it would be surprising for the Western companies to be obliterated, when their top sellers are still pickup trucks (750K F-series sold in 2023), and there's no competition from Tesla (unless you count the 4000 Cybertrucks.)
It is most definitely selling at a loss and trying to generate enough hype to get acquired.
Revolutions are much easier to spot afterwards. Maybe Starlink will be a revolution, but maybe more and more people will get better wired access (so new subscriptions will slow). I don't think it's that evident now how it will go overall.

What alternative would you propose to merging? If the market re-stabilizes in a different position merging could be successful. If a revolution happens, it will probably not, but still better than doing nothing.
true, but i suspect that wanting to self-host the content is a factor (at least it would be for me). and as others have mentioned, there seem to be issues with the cloudflare setup that should have helped here too, so even with self-hosting, it should be possible to handle this.
This has been a personal fantasy of mine. Every time I read a story about someone dropping software and buying a farm, I'm overcome with envy.
Central planning is actually awesome and effective. The biggest problem in the US today is probably a complete lack of any kind of planning at all.
They have a balance between “look at what Elon did now” and positive takes on Elon’s next big thing type stuff. The problem is post-Twitter Elon is grabbing headlines for the wrong reasons.
Why we say "tick tock" instead of "tock tick" and words are ordered that way
The problem also: major cities have simply stopped reporting crime at all. Further, crimes go unreported because police have stopped responding to many of them.

And then you have the other neat new thing of all races being listed as white.
And you think arrest rates are unaffected by racism?

Traffic stops lose their racial disparity when the sun goes down (and cleverly, the control here was daylight savings time - the disparity jumps suddenly by an hour when DST goes into/out of effect) and cops can't see the occupants of cars as well. https://news.stanford.edu/2020/05/05/veil-darkness-reduces-r...
I don’t care about a car or home destroyed by tobacco use. Those are easy for me to avoid. Sitting on my porch and nightly taking in the smell of weed from a neighbor 50 feet away is a different story. That doesn’t happen with tobacco smoke. The smell of marijuana travels in a way tobacco doesn’t.
At least in my area homelessness is pretty tied to perception of crime, if not actual crime. And it's seemingly been going up a rather solid amount over the last five or ten years.
Why is this legal? Who allows this? What do we do?
> I’m not sure how “I don’t have to actually think about any of the separation” meshes with the fact that you explicitly setup multiple users and configured file and group permissions accordingly. You clearly put a lot of thought into it.

That's the thing, with NixOS you usually don't have to explicitly setup users and permissions. For most simple services, the entire setup is a single line of code in your NixOS configuration. E.g.

services.uptime-kuma.enable = true;

will make sure that your system is running an uptime-kuma instance, with its own user and all.

Some more complex software might require more configuration, but most of the time user and group setup is not part of that.
Some people have read this (or know some of the history at least):

https://en.m.wikipedia.org/wiki/Freedom_of_speech

Some people mistakenly believe that the first amendment is identical to the above; it is not:

https://en.m.wikipedia.org/wiki/First_Amendment_to_the_Unite...
See also: ping pong, intro outro, be bim bop…
It was about reaching a certain stock valuation only, not the the profits.

Public companies are strange creatures. You'd expect a company's valuation to be proportionally tied to its revenue and profit, but it rarely is and Tesla is an extreme case of this.
That’s why you an analyze cause and effect. You should target the highest driving factor and ban that, not blanket ban and catch things in the crossfire that don’t make a statistical difference to what you’re trying to improve - that way you don’t cause ill effects elsewhere.
> There is literally 0% chance that literally everybody related to Superchargers was fired. There is 0% chance that the whole maintenance organization was fired.

The only sources we have say they fired the entire division. Sure, we can wait for the dust to settle before conclusively saying what happened but "literally 0% chance" is objectively wrong.
Sometimes when you ask chatgpt 4 for a random number it... writes python code to choose a random number, runs it, then tells you the response: https://chat.openai.com/share/a72c2d8c-c44e-4c89-b6bc-b0673c...

One way of doing it, I suppose.
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. But if this were the case (under some reasonable assumptions about the sampling methodology of the providers) then the author would have seen an 80/20 split. From these results we can probably conclude that with this prompt the predicted probability for "left" is near 100% for GPT4.

I think the author's point stands. They aren't asking "what would you expect from a distribution so described?" The answer to that question is 100% of the time "left.". A well behaving LLM responding to the actual question should distribute the logits across "left" and "right" in the way requested by the user and doesn't.

I think if you chose 1000 random people and prompted them with this question you would get a preponderance of "lefts" compared to the prompt, but not 100% left.