dangerwill

Idk he has at least three alts (the weird baby role play one, Adrian Dittmann, DogeDesigner). Though maybe the people who have blocked him who he wants to see also know to block those to be fair

Other car companies don't get away without fixing the broken latches

The hood could come unlatched while driving and having your hood flip up (or the driver stopping quickly if they notice it starting to) at 70 mph can cause an accident.

I'm sorry but the fix that they did over the air is bullshit.

From the article: "The problem first became apparent to Tesla in March of this year after complaints about unintended hood opening from Chinese customers. By April, it had identified the problem as deformation of the hood latch switch, "which could prevent the customer from being notified about an open hood state." [...] Although the problem is with the hood latch, as with many Tesla safety recalls, the problem can be fixed with an over-the-air software patch. The new software is able to detect if the hood is open and, if so, will display a warning to the driver to alert them to stop their vehicle and secure the hood."

All they did was add a pop up to tell you to stop once the hood has flipped up, the underlying issue with the hood latch is mechanical and unfixed. By all rights this should be a full physical recall.

I am not a fanboy of LLMs or genAI but how is this a great test litmus test for their usefulness? How many humans on earth could do that today? Ten thousand at the most?

Not the OP but I believe they are referring to the idea that if longevity research causes lifetime extension to be possible, then some folks think they can then avoid age-based death entirely. I think that the crux of the argument is that once we find "THE reason" why we age and if we can halt/end that process then we have beaten senescence.

I personally think this view is too simplistic about how our bodies work and overly optimistic that we a) won't hit other limiting factors that aren't hit today by ~100 and b) that interventions to stop senescence won't have unexpected side effects.

Good point. I wonder if Amazon is experimenting with this with the idea that they will be able to make more "eye grabbing" thumbnails with genAI as opposed to pure stills from the given film. The click through rate may be a key metric internally, and since prime video is an add-on to prime the risk of customers dropping the service over this is low (compared to if Netflix did this)

It's funny, the root of the idea is that Agile allows teams to change how they are doing things midstream so we can constantly improve. But I have never met a scrum master or PM who has both the authority and the desire to advocate for changing how work is done. So all it ends up being in practice is a series of rituals that people sleepwalk through.

Do we actually think this way though? When I am talking with someone I am cognating about what information and emotion I want to impart to the person / thinking about how they are perceiving me and the sentence construction flows from these intents. Only the sentence construction is even analogous to token generation, and even then, we edit our sentences in our heads all the time before or while talking. Instead of just a constant forward stream of tokens from the LLM.

Super cool! But it seems to think that very small elevation changes are like mountains. The couple small hills in my local park don't cast a shadow haha.

I guess this makes sense. Because while there should be some noise from the text translation into the internal representation of the financial data once ingested into the model, the authors purposefully re-formatted all the reports to be formatted consistently. That then should allow the model to essentially do less of the LLM magic and more plain linear regression of the financial stats. And often past performance does have an impact on future performance, up to a point.

I wonder what the results would have been with still-anonymized but non-fully standardized statements.

Still though, impressive.

I feel like this developer was treated with the same level of trust (0) that big software companies receive nowadays after repeatedly violating the trust of their users. That may have been unfair, but for him to be this caustic in his response for a bad feature that should have been segmented away via a plugin from the very beginning is a bad look. He jumped on the bandwagon, while not accurately gauging where public sentiment was and got burned.

I'm at least quite glad that he listened and moved it into a separate plugin.

Awww this is so sweet to make

Balaji Srinivasan - "Take total control of your neighborhood. Push out all Blues. Tell them they’re ... unwelcome Just as Blues ethnically cleanse me out of San Francisco, like, push out all Blues." https://youtu.be/EqJoXaNFFjY?si=x3HD6-P9n98KTHGi&t=14723

> Paradoxically, I think a lot of research is showing that synthetic training information can be just as good as the real stuff.

Which studies show this? https://arxiv.org/abs/2305.17493 shows the exact opposite and my (layman's) understanding of statistics and epistemology lines up entirely with this finding.

Like, how could this even theoretically work? In the best case scenario wouldn't training on synthetic training data make LLMs overconfident / overfit the data once faced with new (human) input to respond to?

I totally agree in broad strokes about Adam Something. He's an unserious urbanist meme YouTuber essentially.

However, battery electric buses are seriously more expensive and a bigger carbon sink than a trolley bus network. But governments don't like to build infrastructure in the west and some people don't like the look of overhead wires. This isn't economically or environmentally efficient but those preferences can cause those issues to be ignored. Until the high cost of battery replacements kick in after the initial honeymoon period...

Well from the article it's clear that this camera+ai based detection of purchases never worked for Amazon. They had to rely on Indian contractors watching people remotely. It never technically worked, and even if it did, then yeah I agree that it wouldn't make economic sense. Cameras with that level of fidelity and with 100% coverage, tracking N customers at once, are probably a huge capital expense. And all for slightly faster shopping.

I tried the store in Seattle in 2021 and it was a shitty experience. Overpriced, bad stock, and since few are going to actually trust Amazon to get it right, you still find yourself with the Amazon app open the whole time

This is true, and as a recent convert, I would like to recommend that other Americans check out their local farmers market to see if there is a baker that sets up shop. The difference between even "fancy" grocery store packaged bread and actual fresh bread is enough that I now consider grocery store bread to be essentially a different (worse) food

You've set up a torture loop for yourself instead of listening to your body and the existing medical device. And you are now piping medical biometric data through both Google Calendar and your Apple watch.

As someone who has worked in video games both at the hobbyist and AAA level, this is a demo meant to fool non-experts. There are a million tutorials to get a really shitty version of mario running in unity or godot or unreal. And they openly say that they used these shitty mario clones to train this model.

This will not scale in the near term because

a) There aren't that many types of games that get cloned over and over again with small variations that they can train their data on. Mario games, card games, toy 2d strategy games, etc. Even something as basic as the rougelike genre has so much variation between games in style, feel, gameplay loop, system design, online play, etc that I don't think you can mix them up in an algorithmic slurry and get anything legible out on the other end.

b) The output of this so far looks ... really bad to be frank. It's unacceptably low res, no anti aliasing, you immediately see that this is just a sprite superimposed over the provided images. It looks so terrible that they are not getting buzz from word of mouth (the tweet thread has very much not gone viral despite being up for 3 days now).

c) Getting a character to move left or right and jump in a 2d scene with some collision detection is the only thing this has done and that is the easiest part of making a game. I have seen average 13 year olds manage it. There is so much technical depth in games and game engines beyond getting a sprite to render and move. They don't even have a walk animation in this demo. Good luck ever getting this to create a double buffer for rendering. The game industry very jealously keeps its code internal and its gonna take more than the payouts reddit and tumblr have been getting for ATVI/EA/Ubisoft to give up their source to Google. If Google had kept Stadia around, that actually could have provided them with so much free training data from the images being passed back and forth, but since Google is a non-functional company we don't have to worry about that :)

d) Bugginess in a game, once over a certain threshold, causes players to drop the game really quickly. I cannot even begin to imagine the amount of bugs or what the process would be to fix them in this mess.

You could create the same thing back in the day with a webpage where users can submit a set of background tiles and then run a flash mario game superimposed over those images.

Yup, and London specifically is famous for this relationship with the rest of England + Wales. It's pretty interesting (and depressing) how London has become an Ur-example of internal brain drain

Yeah and has this actually been audited? Tech companies routinely lie about data collection. What's more likely, JetBrains decided that 1 year old LLMs are so foundational a technology that they needed to embed this crap irrevocably in the IDE? Or that they purposefully embedded it so that slurping up your code is hard to disentangle from diagnostics data collection?

Given that a huge percentage of code is written via JetBrains IDEs, couldn't this be a scheme on their part to gather source code training data on a similar scale as github is doing with copilot?

Companies have been relentlessly thinking about how to automate and offshore positions, regardless of the broader economic trends and definitely regardless of your physical work location, for decades now. It isn't "RTO and avoid getting laid off", it's "RTO and get laid off anyway".

The way I see it, what binds Silicon Valley together into a single ideology is the belief that everything should be running software and that the rest of society should conform to software defined rules. AI doomers and e/acc both deeply believe in the power of AI and disagree on how to approach that power.

In SV the question isn't, "Should we introduce self driving cars on the road and how will that impact safety?" instead it is "How can we get the disengagement and accident metrics of self driving cars below that of the average human driver?". The assumption is always that more software and more data collection will result in better products.

I don't really consider the DEI v anti-woke debate worth having. The anti-woke crusaders are all twitter addicts hooked on rage-bait and either these people are very rare in actual companies, or they keep their heads down at work. The DEI "movement" as experienced on the ground is simply the yearly corporate training that tells you not to say slurs at work and some fluffy PR speak on company hiring pages.

It sounds like a nice alternative to engaging with a broken currency but it creates all these headaches/problems. How do we stop employers from leveraging the quality and quantity of these goods in such a way that employees are still provided and equivalent benefit as before? Even with refrigeration, food spoils, so if you give your employee their salary in perishables that institutes an effective top salary, set to the cost in USD to acquire (2k calories * number of days in the pay period * number of dependents). Everything after that is extra that you can't consume and will go bad. And if you try to trade the extra to get some hard currency, well everyone else in your boat will be doing the same, which will lead to increased inflation for these raw goods.

Alternatively employers could give all of the necessities of life in raw form (housing, medical treatment, food, water, internet, clothing, etc) but that doesn't scale well and is vastly more inefficient than just providing the currency required to procure those goods individually. Not to mention the leverage that gives employers into how you live your personal life which is a huge concern too.

It's hard for me to see a return to barter as anything other than a collapse in the economic complexity of a country.

Milei is already trying to allow employers to pay employees in meat and milk instead of currency. Anyone who is looking towards Argentina as an exciting example of what Libertarianism can do in a crisis, get ready to be deeply disappointed. I agree that (western) government has a severe problem in how it can't keep regulations streamlined, up to date, and able to be realistically met, but looking to the situation in Argentina as anything other than a disaster is telling about the view point of the author.

I read it as "My father in law pulled up beside some holla, back in the 1970's" with Holla being a regional pronunciation of hollow/holler https://artsandsciences.sc.edu/appalachianenglish/node/492#:...

Early wikipedia was flawed but c'mon, hoping that a probabilistic text generator happens to string together a series of correct statements is a fundamentally unserious way to gather information

Have you seen how much it costs to see a psychologist (including what insurance is covering)? It's several hundred dollars an hour. That increased price is also an increased barrier for entry, to get treated. Free market dynamics are horrible for healthcare