skysight-inc/HackerNews huggingface dataset:
I built a dedicated gaming PC a couple of years ago. Too much cowboy coding in the industry for me to feel safe running this code on my main computer. Even games for which I pay have supposedly* been scanning/uploading personal data presumably for some adtech purposes.

Why should I ever trust a gaming company to take security seriously? There was a story a few years ago about how one guy at home debugged GTA5’s atrocious loading times without any resources. Loading times which were notoriously bad and surely had a negative impact on revenue, yet nobody in the company could be bothered.

*Never verified it, but I recall the new owners of Kernel Space Program were accused of reporting personal data files to the cloud.
> How true is this when they devices are increasingly hostile to user repair and upgrades?

Not sure what you mean exactly by this, but to me their Self Service Repair program is a step in the right direction.
Interesting insights! I'm a current FAANG engineer and I've been looking for small to medium companies for my next stop. Is this chart only showing Software Engineer mobility? Can you also add the data for other types of engineers, like Data Engineer or ML engineer?
Google seo spam predates LLM's.
I'm very happy to hear this; maybe it's finally time to buy a ton of ram for my PC! A local, private LLM would be great. I'd try talking to it about stuff I don't feel comfortable being on OpenAI's servers.
You'll be able to run 72B models w/ large context, lightly quantized with decent'ish performance, like 20-25 tok/sec. The best of the bunch are maybe 90% of a Claude 3.5.

If you need to do some work offline, or for some reason the place you work blocks access to cloud providers, it's not a bad way to go, really. Note that if you're on battery, heavy LLM use can kill your battery in an hour.
Also currently in Tokyo. While the norm, it's starting to change! I've definitely seen a lot of younger people willing to cross against a red when it's obviously safe.
Western cope never gets old. Western automakers had the chance to dominate international markets, but they stayed back at home, making overpriced cars for their captive audience of local buyers.

Whenever competitors showed up, they laughed at them, before panicking when those upstarts starting challenging their market dominance. It happened with Japan, Korea, and now China.

So, if you feel China competes unfairly, close off your markets. Countries without a local auto industry will accept Chinese EVs readily. BYD & co. will snatch American & EU automakers' foreign markets before they come home to swallow you alive by building factories in low-cost countries like Bulgaria, Mexico, & Brazil.

Basically, the Toyota cycle will repeat itself because Western (esp. American) automakers spent hundreds of billions on share buybacks instead of R&D.
> Just because some porn is child porn, which is bad, doesn't in any way imply that all porn is bad.

I think people who want others to stop using the term "child porn" are actually arguing the opposite of this. Porn is good, so calling it "child porn" is making a euphemism or otherwise diminishing the severity of "CSAM" by using the positive term "porn" to describe it.
I think most of these companies do do the server side properly. There are plenty of hacks that just make a client play ungodly well. Like macros, aimbots, cooldown tracking, auto-hex
They have a right to protest (The First Amendment) just as you have a right to have a gun.
Yeah that was actually what I was trying to get at. Microsoft would have to get rid of the model trained on protected content, remove that content from the training set, and start over training a new model.
And that goes only for rather flat terrain and non-cold environments. Otherwise the discrepancies end up just like consumption of ICE engines in ads vs reality.
> Can’t really deny that reality anymore folks.

You have to establish that the CEO is actually aware of the reality and is interested in accurately conveying that to you. As far as I can tell there is absolutely no reason to believe any part of this.
You already have to deal with the fact that 12pm is 13 hours after 11pm.
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Which leads to an interesting phenomenon where two people living in the same physical place might observe two different current times depending on how they identify ethnically and geopolitically. Israeli and Palestinian daylight savings times don't necessarily begin or end on the same day.
This explains the quality of their products.

But without joking, I cannot imagine this to be true, cause imo current LLM's coding abilities are very limited. It definitely makes me more productive to use it as a tool, but I use it mainly for boilerplate and short examples (where I had to read some library documentation before).

Whenever the problem requires thinking, it horribly fails because it cannot reason. So unless this is also true for google devs, I cannot see that 25% number.
Perhaps subjective but in my own experience range on tesla is slightly more then what was rated.
For anyone else struggling to understand this initially, they were able to tell the flight path of the attack helicopter as it evaded detection by looking at the historic path of a phone of a person that was on the helicopter.

It wasn’t a helicopter spoofing itself as a phone or something crazy like that.
This is an excellent example, I think I get it now and I'm fully on-board. Thanks.

I could easily see an AirBNB owner calling the cops if they saw, for instance, child abuse happening on their property.
If there were some evidence that the voices people hear are generated in a readable portion of the brain and you could train the AI on specifically those parts, it could be a powerful therapy.

Hell, make it into a videogame RPG where the patient is the hero and the labyrinth they must conquer is their own mind. Their party could consist of good friends and trained psychologists who work together to probe, map, reveal, and conquer the demons in the patients mind through teamwork, collaboration, and shared experiences.

However, it probably shouldn't be done outside of a clinical setting and there should be safeguards in place. The last thing I want is for some AI trained on my most psychotic thoughts to exist in any sort of reality, even virtual.
Steve Vai was an 80's fad.

You would never have listened to what he said had he not first signed with a record label and then released a best selling album that millions of people listened to.

Even if Vai was 1 in a million guitarist, that means there's about 8,000 Steve Vais on the planet right now and you would probably have a hard time identifying a single one of them that doesn't currently have a record deal and has their media on streaming sites.

I'm sorry that I'm sounding rude or dismissive, I'm just making the point that "going it alone" is not an option for anyone who wants to be successful in popular music.

Doing what you're doing is the equivalent of writing a novel and then photocopying and hand binding every copy for sale.
You should be right! But you are misidentifying the problem.

The problem here is not the norm, it's the exceptions. Some drivers don't slow down or pay attention. Those are the ones that cause all the risk. While normal drivers behave better at intersections, a pedestrian can't trust that every driver will do that.

In a mid block crossing, you don't have to rely on drivers behaving a certain way, so the predictability is increased and the overall result is safer.
Yeah and S&Ls would never participate in the credit cycle.
I'm all for improving the processes themselves, and increasing the speed at which everything is handled. But the solution to this issue isn't to do away with the regulations and cautious approach completely, it's to focus on the implementation.

As a society, it's insane to let companies market tools in e.g. the educational space that are based on a technology that's still making things up to a considerable degree, without asking them to identify 1) who issues could affect, 2) what issues could affect them, 3) what they are doing to mitigate those issues, and 4) what they'll do if issues to occur. But that's part of this regulation, and this article (and a large part of the opposition) keeps asking for the regulation itself to be repealed.

Why not focus on improving the implementation? You'll find many proponents that would agree with you, and we're not potentially exposing children to bad education, medical patients to bad medical advice, and so on. Arguing against the regulation itself makes your voice far less effective.
Kudos:

> SimpleQA was created to be a greater challenge for frontier models (e.g., GPT-4o scores less than 40%).
Apple also left a very convenient hole in their boot loader to allow running another OS. Linux works pretty well these days
I agree 100% with this.

Amongst all the big tech companies Apple is the closest you will get to if you want Privacy.
https://github.com/EternityForest/KaithemAutomation/tree/mas...

These are all meant for RasPi embedded controls, so they don't handle a lot of security related things that aren't relevant for just a Pi on a private network without ports open.

I set the password with the flasher utility, then have my app server just use Linux authentication so I have fewer things to mess with and more that can be done with standard tools.

Unfortunately MQTT can't do that and the PKI model is hard to set up fully automatically, but almost all routers have guest networks and such, so relying on WPA3 is fine for non-critical stuff.

If I need remote access, I use Zrok.io and avoid having to manage certs myself.
When I see a post I strongly disagree with, I tend to check out the poster's history: it's often quite illuminating to be confronted with completely different viewpoints, and also realize I agree to other posts of the same person.