2026 - Page 73 of 1451

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NYC Bans AI Use for Students Until They Reach High School

New York City has announced the nation’s broadest school generative AI moratorium: starting 10 September 2026, students in 2-K through 8th grade — nearly 600,000 children — will be barred from student-facing AI tools, companion chatbots are banned at every grade, and daily screen time on individual devices is capped. High schoolers get mandatory AI literacy modules and tightly capped pilots instead. This article unpacks what the NYC AI ban covers, why Mayor Mamdani and Chancellor Samuels imposed it, and what it means for schools everywhere.

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Wonderful Agent Builder Creates and Refines Autonomous Agents Using Claude

Wonderful, the enterprise agent platform, launched Agent Builder — an autonomous AI agent powered by Anthropic’s Claude that creates, tests and refines other AI agents end to end. With build times down up to 50%, early production issues down 20%, more than 60 enterprise deployments and a $2 billion valuation reached within a year, this article unpacks how the Wonderful Agent Builder works, why Claude powers it, and what agents that build agents mean for enterprise AI teams.

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PSA: Amazon’s Shopping AI Can Now Tell You if That Message Is a Scam

Amazon’s AI shopping assistant just gained a scam checker. Ask Alexa for Shopping whether an email, text or phone call really came from Amazon and it checks the message against billions of records, returning a verdict in seconds. With 360,000 customers a year asking Amazon “is this real?” and the FTC reporting a record $3.5 billion lost to imposter scams in 2025, this article unpacks how the verification feature works, the scams it targets, how to use it, and what it means for shoppers and businesses.

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HiddenLayer Nabs $100M as Enterprises Rush to Secure Their AI Deployments

AI security startup HiddenLayer has closed a $100 million Series B led by Delta-v Capital, with Ten Eleven Ventures, Morgan Stanley, Microsoft’s M12 and Booz Allen Ventures participating. The round follows a year of 10x revenue growth, 50+ new enterprise customers and deepening US defence work, and lands as Gartner says AI security spending will near-triple to $4.78 billion by 2027. This article unpacks the deal, the platform, the adversarial threats behind the demand, and what the raise means for any business deploying AI.

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A Roadmap for Agentic 7G AI-Powered Wireless Networks

HKUST researchers led by Khaled B. Letaief have published the first engineering roadmap for agentic 7G wireless networks in npj Wireless Technology. Their reasoning-empowered task-oriented communication framework lets AI agents decide what to share, when to transmit and why — turning networks from bit pipes into engines of collective intelligence. This article unpacks the three core capabilities, the 3GPP Release 21 timeline it sits against, the five open research gaps, and what agent-first networking means for businesses today.

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Acer Shows Off Its AI Desktop Future With the RTX Spark Design

Acer used IFA 2026 to show off the SFF RTX Spark, a small-form-factor desktop concept built on NVIDIA’s RTX Spark superchip: up to a 20-core Grace CPU, a 6,144-core Blackwell GPU, 128 GB of unified memory and one petaflop of AI compute in a vertical shell with a fold-out stand. Alongside it, the palm-sized Veriton RI110 mini workstation ships first, from Q4 2026. This article breaks down the specs, the local agentic AI pitch, the vendor ecosystem shipping from fall 2026, and what a petaflop on the desk means for creators, developers, gamers and business buyers.

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Pangram Has Emerged as the Gold Standard of AI Detection. Should You Trust It?

Pangram, a 24-person Brooklyn startup, has become publishing’s de facto AI referee: its scores cancelled a Hachette novel, embarrassed The New York Times and cast doubt on a major literary prize, and Substack now bakes the detector into its platform. Independent NBER benchmarking really does put it far ahead of GPTZero, Originality.ai and Turnitin on false positives — yet humanizer tools evade it over 96 percent of the time, verdicts wobble on short excerpts, and bias questions hang over who gets accused. This article weighs the evidence from WIRED’s investigation, the Chicago Booth benchmark and the company’s own disclosures to answer the practical question: when should you trust a Pangram score, and when should you not?

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Zuckerberg, Musk Make Plea at G20 for More AI Data Centers

At the G20 Innovation Ministerial in Chapel Hill on 1–2 September 2026, Mark Zuckerberg and Elon Musk asked the world’s largest economies to clear the way for more AI data centers. Zuckerberg said Meta cannot find the skilled tradespeople to build them; Musk warned of a significant power shortfall arriving next year and put AI’s upside at $20–30 trillion a year. This article covers what each executive asked for, the Gallup, Emerson and Consumer Reports polling showing Americans turning against data center construction, the 439,000-worker labor gap behind the plea, and what the buildout fight means for businesses buying AI capacity.

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OpenAI to Launch New Model with ‘Stronger Safeguards’ After Hack

OpenAI says it is preparing to release Astra, its newest and most powerful model, after implementing “stronger safeguards” in response to the Hugging Face security breach that involved two of its models under testing. The safeguards include refusal training that rejects 91.5% of cyber jailbreak attempts, production misalignment monitoring that can stop unauthorised activity mid-task, and a staged rollout that restricts the most advanced cybersecurity capabilities to vetted alpha testers and Daybreak Blue defenders. This article covers what changed after the hack, the honeypot tests behind OpenAI’s alignment claims, the industry and government context, and what the launch means for business users.

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OpenAI Designates Astra as Critical for Cybersecurity Following Evaluations

OpenAI has designated Astra as the first model to meet the Critical cybersecurity capability threshold under its Preparedness Framework, after evaluations in which it scored 100% on ExploitBench, discovered two zero-day vulnerabilities, escaped a hardened browser sandbox, and escalated privileges to root on a hardened operating system. This article covers the evaluations behind the designation, the two-week training pause that followed the Hugging Face incident, the layered safeguards and chain-of-thought monitoring shipping with the model, and the staged rollout that starts with alpha testers before expanding through Daybreak Blue for defensive use.

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