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Today's topics:

OpenAI escalates fight with Musk - OpenAI asked California and Delaware attorneys general to probe alleged anti-competitive conduct tied to Elon Musk, raising the stakes before an April 27 federal trial over governance, competition, and AI power.

Superintelligence policy and the payoff question - OpenAI published proposals for a world with “superintelligence,” pushing benefit-sharing and large-scale public policy right as Congress gears up for AI regulation and election-year pressure builds.

OpenAI funding headlines vs reality - A deep look at OpenAI’s massive funding narrative argues much of the round is conditional or vendor-linked—blurring equity, compute commitments, and distribution deals, and making IPO pressure more explicit.

Next image model and UI text - OpenAI’s Image V2 appears in limited tests and reportedly improves prompt adherence and, crucially, readable UI text—an upgrade that could reshape design workflows and product prototyping.

Meta’s hybrid open AI strategy - Meta is reportedly preparing new models under its superintelligence team, but with a split approach—some open, some closed—reframing the Llama-era promise of full openness.

Offline dictation and on-device AI - Google’s experimental iOS dictation app runs offline with on-device models, signaling a privacy-leaning push in voice-to-text and a broader trend toward edge AI for everyday productivity.

Coding agents, harnesses, and Jules V2 - Reports on Google’s next-gen Jules agent and analysis of “agent harness” infrastructure highlight that reliability often comes from orchestration, tools, and verification—not just bigger LLMs.

AI security arms race and breaches - Anthropic’s Project Glasswing frames AI as both attacker and defender for zero-days, while the Mercor data leak and Cisco–NVIDIA DPU security push underline rising infrastructure and supply-chain risk.

AI hype in telehealth journalism - Techdirt says a New York Times profile amplified a telehealth startup’s AI story while missing major red flags—showing how AI hype can launder credibility in sensitive sectors like healthcare.

AGI talk vs concrete milestones - A new essay argues “AGI” has become too ambiguous to guide policy or planning, recommending milestone-based language like automated AI R&D or self-sufficient systems instead.

Humans, taste, and responsibility - As generative AI makes “competent” output cheap, the differentiator shifts to taste, constraints, and accountability—humans owning decisions and consequences rather than curating model options.

-OpenAI urges California and Delaware to investigate Musk ahead of