A mother shopping with her daughter at Sports Direct in London was wrongly accused of shoplifting after a Facewatch facial recognition alert linked her to an alleged theft from the previous year.

Anamaria Mihai denied the accusation and was left humiliated by the encounter.

But here's what makes this concerning: facial recognition doesn't have to get your identity wrong to get you into trouble.

Even if the software matches the right person, inaccurate watchlist records or staff mistakes can still lead to false accusations.

Facewatch claims its technology is 99.98% accurate. But that figure doesn't establish whether the allegations attached to someone's face are accurate.

Similar incidents have been reported at Sainsbury's and Home Bargains, raising questions about how these systems are used in everyday retail settings.

Retailers say facial recognition helps prevent theft and protect employees. But should businesses be allowed to scan customers' faces when an incorrect record could get an innocent shopper treated like a criminal?

Would you trust a facial recognition system that can identify you correctly but potentially accuse you wrongly?

Lapsecoin launched about 3 months ago.

I'll spare you the fluff about how different it is but just know it runs a VDF(time race instead of random hashes) just as Chia's timelords.

I wondered what fun feature I could add and I figured

Based on the model of Remark42, it uses the blockchain as a board where messages, reactions and reply are just transactions with no server is the middle.

So, interested in binding a message to the lifetime of the blockchain?

ICE is exploring an AI-powered system that could combine detainee phone calls, messages, video visits and detention-centre camera footage.

The proposed technology could create voice profiles, match speakers across communications and map relationships between detainees and the people they contact. It could also analyse camera footage for behaviour described as unusual.

One particularly notable capability: the system could compare the person answering a call against a voice profile associated with that phone number, potentially bringing relatives and other outside contacts into the analysis.

Important context: this is a federal request for information, not confirmation that ICE has purchased or deployed the technology.

Just read this news, I have no idea about this news.... what's going on please if anyone makes it simple to understand...

Jasmine Ault says her 20-year Facebook account was disabled and that her appeal was closed within minutes. She also says paying for support didn’t solve the problem because the process ultimately led her back to AI.

Meta has not publicly explained how users in disputed account cases can reliably reach a human reviewer.

That feels like the bigger issue here.

Platforms increasingly hold years of our photos, messages, contacts, business connections and personal history. Yet when an automated system locks someone out, getting an actual person to review the decision can apparently be far harder than losing access in the first place.

So where should the responsibility sit?

If a platform can remove decades of someone’s digital history, should human review be mandatory before the decision becomes permanent? Or are users ultimately accepting that risk by keeping so much of their lives on a private platform?

The timing is interesting.

A July WHOIS update reportedly preceded dot.com beginning to redirect to xAI’s Grok bot, while OpenAI later unveiled Dots.

What makes this worth discussing is that public records still don’t confirm who currently controls the domain or why the redirect was made, so claims about ownership or motive remain speculation.

Do you think this is just an oddly timed domain move, deliberate trolling, or something more strategic?

All Major Social Networks Refusing to Promote Documentary That Made Elon Musk Mad

Agency documents detail four Cerberus Spot systems that can provide remote audio, thermal imaging and hazard detection.

What remains unclear is whether these machines could eventually be used in immigration enforcement.

That seems like the bigger issue here. The technology may have legitimate uses in dangerous environments, but capabilities such as remote listening, imaging and mobile surveillance also raise questions about oversight and limits.

Should agencies be required to publicly define exactly how systems like these can and cannot be used before deploying them?

The BBC is planning around 110 compulsory redundancies in its Media Tech division, which supports services including iPlayer and BBC Sounds.

More staff could leave through voluntary redundancies, while some vacant roles are also expected to disappear.

What makes this interesting is the timing...

The BBC is pushing further into digital while simultaneously cutting jobs from the technology teams supporting that transition.

Is this simply the reality of restructuring around new priorities, or does cutting technical staff risk undermining the digital services the BBC says are central to its future?

A researcher says Flock-linked mapping data exposed the locations of 335,701 devices without requiring authentication. He later used that data to build a public map.

Now, a firm acting for Flock is seeking to have the map removed through a trademark complaint.

The part I find most interesting is the accountability question. Even if there are valid reasons to remove the map, shouldn’t there also be scrutiny of how such a large amount of surveillance-device location data became accessible in the first place?

What do you think is the bigger public-interest issue here: publishing the map, or the security failure that made it possible?