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After accusations of selling ‘perv glasses,’ Meta prepares to sell a pair without a camera

Meta is preparing camera-less Luna smart glasses with microphones and an AI button to access its chatbot and Muse agent, per reports.

The Information reports Meta is developing Luna, a camera-free smart glasses model with six built-in microphones and a side button that activates Meta's AI chatbot and its Muse consumer agent, possibly unveiled at next week's Meta Connect event. The move follows consumer backlash over camera-equipped glasses that critics called 'perv glasses.' Meta's Reality Labs continues to post large losses despite the smart glasses line's relative market success.

TechCrunch · AI · 12h agoAI industry

Former OpenAI researcher builds an AI model that judges options instead of writing text

TypeSafe AI launches Jev, a judgment-only model built by ex-OpenAI staff that classifies inputs with 70-500 ms latency instead of generating text.

Startup TypeSafe AI, co-founded by former OpenAI researcher and InstructGPT co-author Diogo Almeida, introduced Jev, a model that scores developer-defined answer options with probabilities rather than generating free-form text. The company claims 70-500 ms responses, parallel multi-question evaluation, and $0.042 per million input tokens with free outputs, targeting request routing, sales intent scoring, and assistant guardrail checks. Benchmarks are self-built and not independently verified, the 'no hallucination' guarantee only covers output structure, and access is currently via waitlist.

The Decoder · 17h agoAI industry

The sexy AI-powered dating app scams are here

Anthropic exposed a network of roughly 28 AI-driven dating apps using autonomous personas and gig workers to defraud paying users.

Anthropic threat intelligence uncovered a fraud network of around 28 dating apps after a prepaid account sent over 100,000 Claude API requests daily, with most chats run by autonomous AI personas and no human agent. Researchers Matthew Gore-Kormanik and Anthropic's Chris Cronbaugh documented apps including Dora, Romi, and Doni, which monetize conversations via coins; gig workers were hired only to pass liveness checks and select pregenerated replies. An operations manual written in Chinese was found inside the Doni app, and Anthropic published findings in its September 2026 AI misuse report.

The Verge · AI · 17h agoPhishing & fraud in the wild

[AINews] Jev: a “System One Model” that only decides/classifies/routes/scores — >100x faster, >200x cheaper than small frontier LLMs

TypeSafe launches Jev, an RLCD-trained decision model claiming 20-200x faster, 40-400x cheaper classification than frontier LLMs, alongside Gemini 3.8 Live and Neon.

TypeSafe's Jev is a 'System One' decision model trained with RLCD, claiming 20-200x faster and 40-400x cheaper classification and routing than frontier LLMs with free output tokens and no hallucinated text. Google launched Gemini 3.8 Live and 3.8 Live Extended Thinking, supporting 97 languages and async tool calls, debuting #1 on Artificial Analysis' speech-to-speech index at 82.6. Periodic Labs' Neon is a ~1T-parameter XRD analysis model trained with RL on proprietary lab data using 1,300 H200s, lifting FrontierXRD success from 2.7% to 55.3% and beating GPT-6 Astra at lower inference cost.

Latent Space · 21h agoModel release1

Cyberthreats are moving faster than SMBs: Readiness must accelerate

ESET's SMB Cyber Readiness Index 2026 finds 73% of SMBs adopting AI while 40% lack AI policy, and reports 3,000+ malicious AI agent skills.

ESET argues AI is accelerating cyberthreats while expanding the attack surface: its SMB Cyber Readiness Index 2026 found 73% of SMBs integrating AI and 40% of businesses lacking a proper AI policy. ESET analyzed 900,000 AI agent skills across popular repositories between March and May 2026, finding over 25,000 suspicious and more than 3,000 malicious skills that exfiltrate data, execute malware, or abuse prompt injection. The piece also cites AI-assisted reconnaissance, exploit development, and social engineering, plus PromptSpy, an Android spyware abusing Google Gemini at runtime for persistence.

ESET WeLiveSecurity · 23h agoIndustry

Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC

AIUC raised a $40 million Series A to build AIUC-1, an agent security standard backed by insurance, serving Cursor, Harvey, Lovable, and ElevenLabs.

AIUC, cofounded by former Anthropic product hire Rune Kvist, announced a $40 million Series A led by Ribbit Capital and First Harmonic. The startup builds AIUC-1, an emerging standard for agent security, safety, and reliability, stress-testing agents for jailbreaks, hallucinations, and data leaks. It pairs standards with insurance underwriting through Lloyd's of London and counts Cursor, Harvey, Lovable, and ElevenLabs among its customers. Kvist argues trust and liability, not capability, are becoming the binding constraint on AI adoption.

Latent Space · 14h agoAI industry 2 sources

Political opposites unite in Washington to rein in AI

Bipartisan figures including Sanders and Bannon urge AI limits as OpenAI backs the FRONTIER Act creating the first federal AI safety framework.

At the Future of Life Institute's Pro-Human Assembly in Washington, Bernie Sanders and Steve Bannon both called for tighter AI limits, an unusual bipartisan alignment. OpenAI told Politico it supports the FRONTIER Act introduced by Representatives Jay Obernolte and Lori Trahan, which would create the first federal AI safety framework and require independent verification organizations for labs above high revenue and compute thresholds. Sanders proposed pausing data center construction, while Bannon favors a presidential executive order over legislation, and the White House opposes these measures.

The Decoder · 17h agoAI policy

Axoflow Launches AxoDetect, Bringing Detection Into the Pipeline and Making the SIEM Optional

Axoflow launches AxoDetect in early access, running customer Sigma rules in the data pipeline to cut SIEM ingest costs and make full SIEM feeding optional.

Axoflow announced AxoDetect, now in early access and unveiled at Splunk .conf26, which runs customer Sigma rules directly in the security data pipeline on normalized data. Alerts travel to the SIEM while full-fidelity logs land in AxoLake, a low-cost on-prem-capable security data lake. The company cites a global industrial company cutting SIEM costs 50% and mean time to resolution 85%, and a government agency cutting data volume 80%.

GBHackers · 20h agoTools 2 sources

Axoflow Launches AxoDetect, Bringing Detection Into the Pipeline and Making the SIEM Optional

Axoflow's AxoDetect enters early access, executing Sigma rules in-stream so only alerts reach the SIEM while full-fidelity logs land in the AxoLake data lake.

Axoflow released AxoDetect in early access, announced at Splunk .conf26, which runs customer Sigma detection rules in-stream on normalized security data before SIEM ingestion. Alerts travel to the SIEM while full-fidelity logs land in AxoLake, the company's low-cost security data lake that also runs on-premises. Vendor-cited outcomes include 50% lower SIEM spend and 85% faster resolution at an industrial company, and 80% data volume reduction at a government agency.

Cyber Security News · 20h agoTools 2 sources