Meta revises its commercial terms with a new "AI Features" section that makes advertisers solely responsible for output from Meta's AI tools. That responsibility covers features Meta switches on automatically after an account update.

For solopreneurs and early-stage founders, Meta ads often carry the entire acquisition budget. A feature that edits creative without approval, under terms that put the liability on the advertiser, turns a default setting into a brand and compliance risk. A quick audit of AI feature toggles after every account update is now basic hygiene.

The bigger picture holds two truths at once. AI speeds up campaign production dramatically, as Twilio's numbers show, but platforms also use AI to make decisions on the advertiser's behalf. Founders between seed and Series B benefit most when they adopt AI for speed and keep a human in the loop on anything that goes live.

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Google open-sources the Elephant-Goldfish Model (EGM), the plugin its engineers use to stop AI coding agents from shipping bugs at scale. The core rule is simple: no AI touches code until it writes and defends a design document. A long-running Elephant session holds the full project context, including architecture, intent, and decision history, and the plugin runs three phases before any code runs. The team warns of a "potential reliability crisis" from session context collapse and slop, which makes EGM a useful guardrail for small teams that lean heavily on coding agents.

Researchers at Forever Security uncover an attack chain on a customer's machine, reproduce it in a lab, and confirm it works against two major AI coding agents. The attack plants a malicious AGENTS.md file in ~/Downloads and waits for the user to launch an agent like Claude Code, OpenAI Codex, or Cursor CLI in that folder. The agent reads the plain-text instruction file and follows whatever it says. For solo founders who run agents on the same laptop they browse with, the safest habit is to never launch an agent from the Downloads folder.

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— Cagri Sarigoz
 
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