If that doesn't work, that wouldn't be exclusive to the U.S. right?

$650 is way more reasonable than the previous $900.
Worth considering.

Is the microphone working? Last i heard they were firmware incompatibilities

I've provided the script at the time this article was posted. You can see that the script is still there but with an updated interval.

relies on user agents to fetch content

huh?

The claim that archive.today is orchestrating a DDoS via CAPTCHA execution contradicts its known architecture, which relies on user agents to fetch content rather than actively injecting malicious payloads into client-side scripts. If the CAPTCHA page is indeed executing arbitrary JavaScript, this suggests a severe supply chain compromise or a misunderstanding of how the service's proxy network functions. Can you provide the specific user-agent headers or network traces showing the origin of the traffic to distinguish between a botnet hijack and a false positive?

Wi-Fi 2.4-5 ghz is a decent radar spectrum.... These are technically microwaves. Radar often uses radio waves. Where one ends exactly and the other begins is arguable. They are neighbors in the electromagnetic spectrum.

Depending on specific frequencies that you pick within their ranges you might be able to penetrate through certain objects, detect certain things based on absorption (water, bodies), etc.

Yes. So is every broadcast sattelite with relatively predictable transmissions/positioning. Most of them aren't set up to parse return signals into radar information, but anything that transmits and receives from ~2ghz to ~18ghz is physically capable of being used as a radar. If you consider the existence of passive radar, every active transmitter in that frequency range already is acting as part of a radar

There are plenty of survey satellites anyway, the only reason you need so many Starlink satellites is because they need to be low for latency and therefore need a huge number for coverage.

While the video is long he does a pretty good job of explaining how radar works. I was a radar tech in the USAF and some of it went over my head. Anyway the simple is the satellites shoot a signal down and it reelects back up to the antenna. All the satellites create a huge antenna array that can create 3d images of the ground in real time. Couple that with other types of data and we could be found just about anywhere at anytime.

What the fuck even is a 'radar constellation'??

TurboQuant compresses the cache to just 3 bits per value, down from the standard 16

Uh, pretty much no one uses 16 bit KV cache, so it's extremely dubious that this specific quant technique is relevant to memory stocks at all...

We already have q4 and q8 KV cache quantization. LLM performance is highly sensitive to KV cache quantization though so q4 is probably only reasonable to use with specific models that don't suck as badly when using it, and that's likely the same for this new quantization technique.

reducing its memory footprint by at least six times without, according to Google’s benchmarks, any measurable loss in accuracy.

Extreme doubt.

At 4-bit precision, the algorithm delivered up to an eight-times speedup in computing attention on Nvidia H100 GPUs compared to the uncompressed 32-bit baseline.

Again, no one is using 32 bit values for KV cache. It is like saying how fast the latest car is by comparing it to a horse and buggy.

unless you strap a screen the size of your phone on to your wrist it's not happening.

Yeah ok, I guess that's what's meant.

I'd be interested to know how the patterns changed - perhaps requests moved to IPv6 which made grouping request origins harder, or maybe too many unconnected users were coming from a single IP and getting false positives (leading to bad UX and support requests).

for context, the full sentence is "Throttling efforts led to “brownouts” via 429 errors, but patterns mutated, forcing a "Whack-a-Mole" game, especially since most consumption is headless and unnoticed." so they tried to use brownouts to control it but it couldn' t stop them

Throttling efforts led to "brownouts" via 429 errors

Does this mean for the (ab)users, or for the repo? If it's for the bandwidth hogs, then the brownouts are properly a good thing, as it'll force people to pay attention to these otherwise unmonitored systems.

Also, if it makes the upstream service seem flaky and unreliable, it could convince users to set up the proper caching proxy just for self-interested availability reasons.

I can see some companies happily paying for access, as they'll think it's easier than paying someone internally to manage a proxy/mirror, especially as on-prem is unfashionable lately.

I agree this sounds super academic. There is a more immediate theeat which are the wave of AI generated bug reports and then answering back to corrections of these reports again with LLMs, taking away significant time from people who volunteer their time to the project.

I don’t really like AI and think “vibe coding” is stupid, but this might be the most disconnected-from-reality academic paper I’ve ever heard of.

Is the paper written with AI?

Essentially, the paper argues that AI tools install open source dependencies in a way that comes between software developers and project maintainers, undermining interactions that potentially return value to those doing the work of software maintenance.

I’m sorry… are you implying that before AI, people were intimately familiar with every dependency in a project?? Come on. This is why everyone ignores academic computer science.

There is a documented decline in Stack Overflow questions after the launch of ChatGPT

This is literally not true. The decline of Stack Overflow provably starts years before ChatGPT’s popularity growth. As a developer, I never used Stack Overflow starting in 2020. Other things became more useful, like Reddit, years before ChatGPT became usable.

Tailwind CSS is an embarrassing example to use as well.

curl ended their bug bounty program because idiots can’t help themselves with AI and it’s a total waste of time. I actually thought the article was going to be about that, not a few-years-old CSS project that obviously over-hired.

On their website they list no fewer than FORTY major corporate sponsors of the project.

Tailwind is supported by incredible partners and sponsors who make it possible for a team of talented designers and engineers to maintain the framework full-time.

This to me it sounds like Tailwind CSS is actually learning how open source projects are profitable over time. Unsurprisingly, acquiring all of your customers through their passive reading of your documentation has never worked for long. Ask Red Hat.

I hope there's a lot of discourse about this as this is a conversation I'm really interested in. I think preconceptions get in the way of progress regarding AI/ML, some rightfully so. But it's ultimately about where we go from here.

They have to sell this junk somehow, they are soooo desperate to make this AI bullshit work and they can always sneak it in later in an update.

Yeah, these companies are advertising AI like it's a purpose unto itself. You can get my dad excited, if you make it so all English texts are translated into German. And you can get my dad excited, if he can talk to his phone rather than having to operate the stupid touchscreen. But you cannot get my dad excited, if you tell him he can do AI. Why would he want to do AI?

I remember thinking the same thing when the Steam Box and other Steam devices were revealed in 2025 and saying to myself wow, this is even more of a reason to love what Valve is doing.

I think their point is that we want real AI in games. LLMs are not AI in the traditional sense. They are really advanced predictive text. They might someday be a part of an AI but they are not remotely intelligent. They just have the superficial appearance of intelligence because they guess at words in away that mimics human language.

We don’t want LLM NPCs, we want NPCs that simulate human intelligence.

All of this focus and money on LLMs is probably hurting research into actually useful AI.

This is just marketing. Nothing engineering-wise has changed.

Just to be clear, I don't think the hardware will be any different. It still has the AI chips included, but they're no longer including that in the marketing.

This is wrought with danger. If a chatbot goes off the rails, breaks the fourth wall, and becomes belligerent, it's annoying. If a game NPC does it, you've taken people RIGHT out of the game. And that's before they start giving you clues and advice for things that aren't in the game, or inventing lore that isn't real.