So the white house likes to do a lot of things they don't actually have authority to do, so the next question is if they don't have the authority to do this, can Anthropic sue for damages for not only tokens people were not able to spend, but also market share lost to the setback?
Not sure why this was voted down, it was the most useful comment here.
does Nissan still use these motors, the car in the linked article has been discontinued, and then only real info I can find on their site about the leaf is about their ROCKIN' bose sound system/s
All I got out of this article is that he should have went home and dumped it into chatgpt just to see what happened; then if it did as good a job as him, he should start looking for other places he can add value that AI can't.
The point of the comment was that models are improving a lot every release, so if your livelihood depends on something, you might want to check to see what the latest models are capable of before someone else (like your employer ) tells you.
The other person in the gym was right, did you you just dump it in the latest model?
The article does not say that. The author doesn't take the text the other person dumped into ChatGPT and evaluate its quality. That is what OP is referring to.
when someone says they have tried previously that makes me think once long ago when they first came out. If your employment could be replaced by this, I'd be testing all new models to see where they stand.
Just because you don't want to use AI/LLM to translate, that won't stop someone else who will, and they will end up doing it cheaper and faster (maybe not better, but most people don't really care about quality too much anymore.)
Program your flipper0 to record all wireless identifications for a few weeks. hook broadcaster to amplifier and attach to your car playing all the time. Every time you drive by one of these, it'll look like a parade just went by.
Probably do the same thing when you go into retail stores. just flood the place with every possible identification.
Maybe an easier solution is just write something that spoofs hundreds of fake ids and sends them out constantly where ever you go; bonus points if you can create IDs that can break the devices when they try to parse it.
Flipper Zero (without extra hardware) doesn't do 2.4 GHz for Bluetooth or Wi-Fi (or 5GHz Wi-Fi).
On the other hand, I'd bet for under $10 you could build something with an ESP32 and a battery and solar panel that could spoof signals these things will believe all day.
I'd start with transmitting signals with MAC vendor prefixes identifying Axon Tasers and Bodycams. Make it look like there's thousands of cops going past every day.
I'd love it if someone managed to get a bluetooth and wifi sniffer close enough to the CEO of Flock and publish that fingerprint. Or sneak a sniffer into a Flock board meeting and sniff out all the board members and c suite's devices. Or a meeting of local politicians and cops who're supporting and paying for this. I mean, that can't possibly be illegal or even wrong, if they're doing it wholesale, right?
> Flipper Zero (without extra hardware) doesn't do 2.4 GHz for Bluetooth or Wi-Fi (or 5GHz Wi-Fi).
Flipper Zero has Bluetooth built in, that's how the phone app works.
I don't know how much control the apps have over it, but there were definitely Flipper apps to abuse the BLE auto-pairing feature of a lot of devices and spam popups to nearby phones.
Your method sounds like a good way to inject noise into the system -- and perhaps it is. Except the article describes integrating this MAC-sniffing business into ALPR camera installations.
In this way: You drive by with your noisemaking-device, and it records that noise along with the presence of your license plate.
It won't take a senior data analyst to correlate the bursts of noise with your proximity. Instead, you'll stand out like a sore thumb and they'll see you coming even before they have optical line-of-sight.
(It could scale, but as a practical matter it simply won't. Most people aren't interested in this kind of obfuscation; it'd be amazing to me if even 1/10,000 people were to actually adopt it. This level of rarity would identify you as one of the 0.01% of troublemakers.)
I totally agree with the sentiment that interested parties are few and far between, but they exist. I have several disparate layers of obfuscation on the data I generate that I have control over. I understand that that is a signal in itself, but I'd rather my signal be a fog than rich data points.
There are very few ways to fight stuff like this and 100% agree this is a good one. I predict we are gonna need so much more of this type of obfuscation to just live our lives normally.
I canceled mine; I thought it would be a good way to stay updated on tech news without having to read other news, but then they over-extended the service to a bunch of other things instead of just focusing on the one news letter.
I don't care about a twice a week podcast about the NBA and national parks, or the other 5? podcasts about random stuff.
The podcast I listened to the most: Dithering. Primary reason? 15 mins. Sometimes listened to Stratechery Interviews if/when the guest intrigued me outside of the Stratechery ecosystem.
My problem is part style, and part content. Stratechery reads like it's written to be narrated - rather than exist first as writing. There's verbosity, pauses, long sentences, etc. And then you listen to the narration it makes sense.
But that complexity makes reading harder. Not saying everything needs to be 5th-grade-level, but complexity isn't required. Paste a Stratechery article into Hemingway Editor to visualize my point.
The stats below:
Readibility - Post-Graduate (aim for 9)
26 of 44 sentences very hard to read
8 of 88 sentences hard to read
31 weakeners
6 words with simpler alternatives
What a chore to cover, and that's without commenting on the ideas/concepts in the content.
I'm sure some folks like this writing style but I don't. And try hard to write my newsletter and other prose with far less complexity.
Who is paying for all of this AI usage on the Iphone? I didn't see anything about a new AI subscription (maybe I missed it?), and I doubt Apple will want to pay million/billions a year to do it indefinitely.
From Apple's press release: "Some features, including image generation, have daily usage limits because they rely on powerful server models. Increased access is available with most iCloud+ subscription plans, which also include Apple Intelligence support for compatible Home cameras." (https://www.apple.com/newsroom/2026/06/apple-intelligence-br...)
Supposedly they're going to do a fair bit of it on device for privacy reasons, so the only payment for that will be RAM and battery power.
For stuff that can't be run on phones, some of it will be run on Apple's servers, which I'm assuming Apple is eating the cost of for the time being.
Stuff that needs heavy reasoning or external knowledge will be processed by google, in exchange for $1 billion a year. However Google already pays Apple $20 billion a year for google to be the default iOS search engine, so you could view this as just changing to google paying $19 billion a year instead.
I think the server-side stuff will be a mix of users & developers paying. I have seen this info in several places:
> PCC delivers a powerful server model without compromising privacy: data is never stored, used only for the request, and independently verified. It's integrated with the OS and iCloud, so there's no authentication or API keys, no token cost to developers, a daily per-user limit (higher with iCloud+), and eligibility for apps under 2M downloads.
Pricing is looking to be complicated and not clear cut.
Some of it is free on-device. Some of it is free & rate limited per day. They mentioned in the WWDC infomercial that users with iCloud+ (the storage tier subscriptions, Apple likes to throw random things in with that) will be able to get more uses per day. And some of it developers will pay for.
Isn't it obvious? They bet on the same level of intelligence will get cheaper and cheaper and it'll be a smaller and smaller fraction of iPhone's profit.
And even if the assumption turns out to be wrong, they can just scale down and serve dumber and cheaper models. Shrinkflation is not a novel idea.
They briefly mentioned getting more access to some AI feature with an iCloud subscription so it isn't completely unlimited. Sorry I don't remember exactly what it is.
I read through a summary of what was announced today, and I don't really want/care about any of it. The biggest apple announcement today that I was excited about, and would tell other people about was https://lowtechguys.com/musicdecoy/
I have an older iPhone that can't run any of this new stuff, and I'm not upgrading because I have no reason to. I think I actually prefer at this point to be on an older phone that won't get all of this.
When is technology going to get exciting and fun again?
(that's not 100% true, I was excited to hear they were walking back liquid glass.)
- fixing the main liquid glass issues (transparency, toolbars, window corners)
- rewriting OS components to work better
- fixing the ever annoying "The compiler is unable to type-check this expression in reasonable time" problem (we knew this was going to happen by following the Swift project, but still)
Honestly, we really really needed a year with less features and more work put towards improving the platforms.
I do enjoy reading about what the Swift team is doing. (And other folks working on the lower decks — kernel, Foundation, etc. The AI brainrot hasn't seeped down there yet.)
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