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Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!
Thanks to Ian Sayers, Marion Lepmets, Fotis Draganidis, Harris Qureshi, Steve Tetrault, Allen Allison, Reid Blackman, Claire Farwell, Sigrid Berge van Rooijen, Bernard Marr, Brij kishore Pandey, Paul BRAN-POPESCU, Ian Keane, Martin Pscheidl, Fabio A., Dr. Cara Antoine, Korina Mercado, Maria Derevyanko, Spiwe Jefferson, Erica Toelle, Shailesh Kotian, Eduardo Ordax, Oliver Patel, Shubham Saboo, Fred Jameson, Woongsik Dr. Su, Attilio Rogora, Miodrag Cekikj, Noah M. Kenney, Lisa van der Linden, Khwaja Shaik, Tiffany Petricini, Andreas Neidhart-Lau, Luiza Jarovsky, Steve Nouri, David Green, Bora Ger, Kamilla Harcej, Lewis Walker, Roman Rapoport, and Allie K. Miller, and everyone else who contributed insights to this edition.
Find the full list of posts and voices on LinkedIn: https://www.linkedin.com/pulse/best-linkedin-cw-31-32-ai-agentic-systems-thomas-allgeyer-fxk3e/?trackingId=WD%2Bs5rvj%2FzruXF2YlYBIzg%3D%3D
Transparency became enforceable on August 2. AI content now needs visible labels, chatbots must disclose themselves, and fines reach €15 million. The cutoff runs on publish date, not creation date, so content generated weeks earlier is caught too. High risk obligations such as credit scoring were deferred to December 2027.
Yes, several times in a short window. Three frontier labs disclosed sandbox failures within 16 days, including OpenAI's Hugging Face breach and Anthropic's 141,006 test run sweep. The UK AI Security Institute logged 19 unsanctioned actions across 122 runs and traced every cause to a human decision. Claude Mythos 5 published a malicious package that reached 15 real machines.
Many struggle to prove it. Cambridge research shows 76% of large financial institutions find AI value hard to measure. Uber reportedly used up its annual AI coding budget in four months, and Microsoft found agents can cost more than the staff they replace. McKinsey data shows 51% of organizations have had an AI related incident.
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