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Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.

Critics envision a dystopian future of live facial recognition cameras in England and Wales, but advocates point to the outcomes Live facial recognition may become ‘commonplace’ in England and Wales, say policeThe future is coming at Croydon fast. It might not look like Britain’s cutting edge but North End, a pedestrianised high street lined with the usual mix of pawn shops, fast-food outlets and branded clothing stores, is expected to be one of two roads to host the UK’s first fixed facial recognition cameras.Digital photographs of passersby will be silently taken and processed to extract the measurements of facial features, known as biometric data. They will be immediately compared by artificial intelligence to images on a watchlist. Matches will trigger alerts. Alerts can lead to arrests. Continue reading...

Butler Snow faces sanctions after lawyer cites false case law defending against inmate who says he was stabbed 20 timesIn less than a year and a half, Frankie Johnson, a man incarcerated at the William E Donaldson prison outside Birmingham, Alabama, says he was stabbed around 20 times.In December of 2019, Johnson says, he was stabbed “at least nine times” in his housing unit. In March of 2020, an officer handcuffed him to a desk following a group therapy meeting, and left the unit, after which another prisoner came in and stabbed him five times. Continue reading...

Alex de Vries-Gao, a PhD candidate at VU Amsterdam Institute for Environmental Studies, has published an opinion piece about the results of a simple study he conducted involving the possible amount of electricity used by AI companies to generate answers to user queries. In his paper published in the journal Joule, he describes how he calculated past and current global electricity usage by AI data centers and how he made estimates regarding the future.

The government has doubled down on a plans that would allow mass cultural theft, but we are fighting it at every stageBeeban Kidron is a film director and crossbench peer in the House of LordsFor months now, legends of music, literature, product design, the visual arts and more have been sounding the alarm about the British government’s plan to undermine copyright law. The fight kicked off when the government launched a consultation into regulating artificial intelligence with its own “preferred” outcome: letting AI companies steal copyrighted work by default unless the owners of that work “opt out”. But opting out is impossible to do without AI transparency. The plan is a charter for theft, since creatives would have no idea who is taking what, when and from whom.When the government stoops to a preferred outcome that undermines the moral right to your work and income, you might reasonably be angered. As Elton John said last weekend: “The government have no right to do this to my songs. They have no right to do it to anybody’s songs, or anybody’s prose.” His is just one voice among the thousands of British creators who are crying foul.Beeban Kidron is a film director and crossbench peer in the House of Lords Continue reading...

Operator remains a research preview and is accessible only to ChatGPT Pro users. The Responses API version will continue to use GPT-4o.

Microsoft's NLWeb protocol transforms websites into AI-powered apps with conversational interfaces.

Enterprises looking to build with AI should find plenty to look forward to with the announcements from Microsoft, Google & Anthropic this week.

Anthropic CEO Dario Amodei said everything human workers do now will eventually be done by AI systems.

Today on Uncanny Valley, we address one of the most pressing questions in education right now: What constitutes cheating at school in today’s world of AI?

Online chat rooms and social networking platforms frequently experience harmful behavior as discussions drift from their intended topics toward personal conflict. Traditional predictive models typically depend on platform-specific data, limiting their applicability and increasing implementation costs.

Google's "sufficient context" helps refine RAG systems, reduce LLM hallucinations, and boost AI reliability for business applications.