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Clearview AI Is Testing an AI Tool That Would Let Cops Unearth Your Life Online
Clearview AI is prototyping InquiryIQ, an AI analyst assistant that would automatically profile individuals identified through its face-recognition searches for police.
WIRED uncovered InquiryIQ, an unreleased Clearview AI prototype described as an AI analyst assistant that fans out across the web from a face-recognition search result to assemble profiles including employers, aliases, associates, and physical characteristics. The company tested a model from xAI (merged with SpaceX), maker of Grok, and the interface accepts age, gender, and race inputs to guide searches. Clearview says the prototype was never pitched or shipped to customers and no law enforcement user has used it; the database has grown to over 70 billion images used by more than 2,000 law enforcement agencies.
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OpenClaw Power, MacBook Simplicity: Five Days With Grok Bot
Hands-on review finds Grok Bot simplifies agent setup via browser logins and bot abstraction, contrasting with the user-owned OpenClaw platform.
After five days with Grok Bot, the reviewer highlights browser-based sign-in as the key differentiator: connecting X, Freshdesk, and Google Calendar required only logins, no MCP configs or API keys. The piece contrasts Grok Bot's managed 'agent computer' with OpenClaw 2.0's user-owned Gateway, which now supports reusing Claude Code or Codex logins and ships a native Codex runtime. Grok Bot introduces 'Bots' as composable units arranged in 'group chats', exemplified by an Agentic Engineer Bot routing tasks across Claude Code, Codex, and Grok Build CLI. The reviewer used Grok Bot with a Cursor Pro+ account.
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[AINews] Andrew Ng gets into AI Engineering
Andrew Ng relaunches DeepLearning.AI around AI Engineering, defining four core skills from an analysis of 10,000+ job postings and expert interviews.
Andrew Ng, cofounder of Google Brain and Coursera, relaunched DeepLearning.AI with a focus on AI Engineering, basing the curriculum direction on an analysis of over 10,000 job postings plus interviews and surveys. He identifies four key skills: building and deploying AI applications, software engineering fundamentals, effective use of coding agents, and shaping the build with product sense. The Latent Space AI News issue also recaps agent ecosystem developments, including NVIDIA's 'Skill Lift' evaluation proposal showing skill scan scores correlate only weakly (Spearman rho = 0.14) with judged quality, and Konwinski's open-source persistent-agent 'microharness' Headlong, which achieved an unattended self-debugging repair in 48 minutes.
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