luma

By this you mean Anthropic is now accountable to secure Elon's marketplace offerings. I'm not sure that is reasonable.

Somehow, their wide range of results touch every single area of math except anything touching cryptography. I think it's fair to expect that three letter agencies are given the ability to veto the publication of certain discoveries.

Some version of this has been posted a dozen times now. The dog barking and baby crying detection are advertised features of this product range which is used for SmartThings integration.

Swarms of RE-hopefuls are now using tools they don't understand to work on projects they don't understand. Anyone doing RE knows step 1 is read public documentation, FCC filing, patent applications, etc. That step would tell you what the device does out of the box, no RE required to find everything the OP has actually uncovered.

Instead they busted out Claude and have been gaslit by their own AI into thinking they've discovered something. They just discovered features that Samsung has been pitching for years.

In February Samsung agreed to stop collecting the data when opted out in the US after a few lawsuits were lining up. LG was the target of a different lawsuit in Texas which they settled and then wrote up a forced arbitration clause and doubled-down on data collection, even when opted out.

Don't buy LG TVs.

These folks recently did tests on major TV brands, not accepting the on-device consent forms, and then recording how much data they continued to send after consent was denied (which itself is not always possible). https://www.youtube.com/watch?v=t_GK06_3UY8

Samsung was the single brand reviewed which actually stopped sending data after the user told it to do so.

Dog bark and baby crying detection are advertised features for SmartThings integrations. Door bell and door knocking are also included, this is surfaced directly if you hook the TV or sound bar into SmartThings.

Enterprise* customers are overwhelmingly more likely to primarily host on Azure than GCP, m365 runs the corporate world top to bottom. OpenAI doesn't care where the customers come from, more platforms == more reach, they have zero reason to be preferential to any single hosting platform.

* By "enterprise" here I mean "big company that is not a tech company". If most of your userbase is carrying a mac, you're probably a tech company. If you're mostly making widgets in factories, chances are high Windows and the ecosystem around it is involved.

Atmospheric pressure is around 14psi, at a rough guess a manhole cover is around 200lbs so you'd need just a little over 14sq in to make that work.

Android does the same MAC rotation that Apple does, both on WiFi and Bluetooth. Working with IoT sniffing solutions at home, I've found it's reasonably easy to detect when a single MAC is randomly changed: it'll be broadcasting its presence, suddenly go dark, and then another mac with same first 3 bytes starts broadcasting with a very similar RSSI. This works with BLE adverts pretty well and allows me to filter out MAC noise from household devices while I'm trying to sniff something on my bench.

I didn't use the word LLM. I'm talking AI capability, you're focused on this or that current approach to AI. I think it's fair to assume that the approach will change as new ideas are learned, new and more hardware will be purchased and applied to the problem, and then capabilities will (for now) continue on their exponential curve, same as it has gone for the past several years.

These things are knocking down Millennium Prize problems while a substantial subset of commenters here are still thinking about stochastic parrots.

Some version of this claim has been made for the past 4 years. There's a data cliff, there's no more compute to buy, the financials don't make sense and all of these orgs will be out of business by end of quarter.

Not once has any of these predictions come true, the pace of progress has continued on it's exponential trajectory since ChatGPT first came to the public's attention.

So why now? What is special about today that suggests all of this is coming to a screeching halt despite all evidence to the contrary?

Any code I didn't write is arbitrary code. At some point I'm left to trust someone or run no software at all.

There is a flip side to this - is vim encrypting this data it keeps forever? If I delete something I consider sensitive, I might unwittingly be recording that presumed-deleted piece of data to my user profile somewhere to be deleted never.

Thank God, a response which addresses none of the content of the parent post which is now flagged for pointing out current facts of the case, along with anything else in the thread which doesn't align with "AI BAD".

HN has fallen far.

Meanwhile opposing counsel was fabricating research to claim AI was impacting authors and was caught trying to bury their involvement: https://www.techdirt.com/2026/09/25/openai-accuses-plaintiff...

Neither side is coming out smelling like roses here.

Such things would already be known in its training, eg https://duyet.github.io/llm-over-dns

Looks like an open version of SkyHook from way back in 2003: https://en.wikipedia.org/wiki/Skyhook_Wireless

For a while they had a paid program, I had a Windows Mobile app I could run with an external GPS dongle that would record wifi APs and location, upload to skyhook, who would occasionally cut me a check for my trouble. I made tens of dollars!

The two reasons the author lists for not sharing their source code now were both true pre-AI. Open sourcing allowed others to review your software for their own nefarious purposes and (as anyone who has ever maintained a reasonably popular repo knows) results in a lot of PRs that may be of low quality.

I contribute to open source because open source is how I learned to do what I do and it only seems fair to give back. AI changes absolutely nothing about this for me.

Priced to what the market can bear

The 80 years thing actually happened. One can argue about MAD and the nuclear threat, but we don't have to guess at what happened.

It worked.

Same answer. You could enter 386 protected mode with less than 640kb installed.

That isn't true to my knowledge for old DOS applications (including games). 640kb was the upper limit, not the lower bound.

The flip side is that the Anthropic researcher is clearly pushing the case against Open AI and one might have reason to suspect their motivation and version of events for the same reasons.

What a mess.

We're all out here just scratchin at our own itches brother :D

In case you run across this, here's how it works: https://youtu.be/1wn-YWItuSI

decompiling the apk is where you might trip up against DMCA etc. I've been doing this exact same thing with great success, if there's a mobile app you have the keys to unlock any bluetooth device (and maybe turn it into a Home Assistant component while you're at it).

Extending this work: https://github.com/aderusha/dewalt_wtc

MEMS vibration sensor to stick to a sander or saw etc that can control power on an attached dust collector. Most of the work is focused on low power for year+ battery life and a weird idea for end user input that may or may not work out well. Got device on bench but the first time bring up is going to take some time that I'm leaving for tomorrow.

I now have Astra to review 5.6s work, no glaring errors found.

Flying home today and got DHL notification that my vibe PCBs are on my porch. Now to try to program, bring up, and see if it works this weekend. $178 for 5 assembled units from PCBway to run this dumb experiment.

Simply put, batteries are heavy.

For whom? That is a fantastically ill-defined test. Everyone here is comfortable throwing around this or that is or isn't AGI which is fun because, at the same time, nobody seems to have a testable definition.

It makes either position pointless to argue.

What test do you propose as the actual go/no-go gauge to verify if some model is or is not AGI?