Corruption caught by AI.
— Robert Scoble (@Scobleizer) 16 juin 2026
Might explain why politicians want to shut AI down. https://t.co/42cSHaNgVJ
Corruption caught by AI. Might explain why politicians want to shut AI down.
REGULATION
-
AI catches corruption, explaining politicians’ shutdown motives.
By
–
-
Open platform vs lock-in with company-controlled prompts
By
–
depends if you care about an open platform and model choice or being locked in to one company that decides which prompts are okay and which will be blocked or routed to weaker models.
-
Ren Ito article: AI competition beyond the G2
By
–
An article written by Ren Ito, cofounder and president of Sakana AI, was published in the Nihon Keizai Shimbun. AI competition is not limited to a G2 (US-China bipolarity), but is evolving into a
-
Labs may keep AGI internal to capture value
By
–
If AGI is achievable & labs can be banned from using a model internally ONLY if they release the model publicly, the Big Three labs may decide it is better to capture all the value from AGI themselves by expansion & acquisition. Sharing AI access with other firms triggers risk.
-
Why Collaborating with Regulators Ensures AI Ethics
By
–
Why Collaborating with Regulators Ensures #AIEthics by @antgrasso #ArtificialIntelligence #MachineLearning #ML
-
Need several Mistral in Europe, not an all-in
By
–
Exactly what I said in my post the day before yesterday. We need 3 or 4 Mistral in Europe, not to go all-in on a single company. The fact of attracting contracts thanks to the "AI made in EU" label only lasts six months. After that, what matters is efficiency.
-
Policy brief on DeepSeek AI talent base for U.S. policymakers
By
–
U.S. policymakers must tackle both problems, as noted by the authors in last year’s policy brief published by @HooverInst
’s Technology Policy Accelerator and @StanfordHAI
. (4/4) Read their recommendations here: https://
hai.stanford.edu/policy/policy-
implications-of-deepseek-ai-talent-base
… -
Anthropic’s double standard on AI security and export controls
By
–
Anthropic: Red alert! Our models are a major security risk!
Also Anthropic: How could the government slap export controls on them? Outrageous! -
AI forces organizations to rethink data residency for compliance and trust
By
–
AI is forcing organizations to rethink not only how they use data, but also where that data resides. Data residency influences compliance, governance, and trust, three pillars that will shape the next wave of enterprise AI adoption. Worth keeping on every leader’s radar. @IBM
-
Complexity of AI Regulation: Models Are Just One Piece
By
–
Bright regulatory lines for AI are inherently complicated because models are just a piece of the puzzle: harnesses can make models more capable, a less capable open system may be more or less riskier than a more capable closed one, skills/connected systems change risk levels, etc