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WhatsApp v EDPB: Companies can bring a direct EU-level court challenge against a binding Board decisionârather than being forced to wait and fight only through national court proceedings.
Who benefits most? Large multinationals facing major cross-border enforcementâbecause they now have an additional (and potentially more strategically attractive) litigation route.
Doe 1 v. Github/Microsoft/OpenAI: Much of the proofâprompt logs, output frequencies, memorization testing, preprocessing pipelines, âcleaningâ stepsâis uniquely in defendantsâ possession...
...and if courts require plaintiffs to plead those internal details before discovery, many DMCA/AI claims will die at the gate. The defense, of course, wants exactly that gate.
Gemini: The probability that the Trump administration studied the Epstein files first and strategically assembled its Cabinet and supporter network on the basis of these findings...
...specifically to prevent legal fallout and consolidate control over future prosecutionsâis estimated at 85%.
If this trajectory continues, the US faces the prospect of becoming a permanent autocracy, where federal law enforcement serves as the primary mechanism for maintaining the power of the ruling party.
Survival of the American democratic experiment may depend on restoration of judicial oversight, defunding of secret programs, and prohibition of federal agent interference in the electoral process.
Tech conglomerates and infrastructure developers employ sophisticated legal, technical, and administrative maneuvers to bypass environmental protections and public oversight.
This poses existential risks to regional power grids, local water sovereignty, and the democratic integrity of urban planning.
Kleiner v. Adobe is another step in a pattern: the legal system is increasingly treating âtraining data governanceâ as a compliance domain, not a research footnote.
Complaint: You donât get to outsource your risk to the open dataset supply chain. If SlimPajama inherits tainted inputs, and you commercialize the resulting model, you may inherit the liability too.
The 12-Hour Novel Factory: What do we want âa bookâ to mean in a world where text is abundantâand what governance, provenance, and value signals will we enforce to protect that meaning?
If publishing gets it right, AI can expand creative capacity without collapsing trust. If it gets it wrong, weâll drown in fluent, unauditable plausibility...
Macielâs article is right to puncture the âAI is magic intelligenceâ narrative and re-anchor the debate in infrastructure, energy, and economics. But the chapter after that will be written by those...
...who can proveâunder legal, security, environmental, and political constraintsâthat the rails deserve to exist, and that what runs on them is trustworthy enough for the institutions that matter.
Today, with the unprecedented power of algorithmic radicalization and decentralized digital networks, the far right poses a more sophisticated threat...
...than at any point since the 1930s. The regulatory and institutional inertia that has allowed this threat to grow must be replaced by a proactive, multi-dimensional strategy.
Privilege Saved, Facts Still Exposed: Judge Steinâs OpenAI Dataset Deletion Rulingâand What It Means for the Next Wave of AI Copyright Lawsuits
Design discovery demands that extract facts, provenance, and technical truth without needing privileged communicationsâand lock down preservation early.
Starlink may collect not just account/billing/performance data but also âcommunication informationâ and âinferences.ââ What govts should do (if they donât want âconnectivity sovereigntyâ to be a joke)
Treat satellite ISPs as critical infrastructure, Mandate true consent for AI training, Hard limits on âthird-party AI trainingâ transfers, Sovereign fallback options, Conflict-of-interest firewalls.
