Agents Prompt People: Using Agents for Long-Horizon Financial Work...

Arca uses AI agents to help manage long, multi-step financial work and track each client’s needs. Human advisors make all final decisions, especially those involving money. Custom tools and strict safety checks help the agents work securely and improve over time.

ORIGINAL LINK: https://latent.space/p/arca/

How We Took Over ChatGPT Accounts...

Researchers found a flaw that let unsafe code in ChatGPT previews break out of its sandbox. A malicious share link could then steal private data or act as the user. OpenAI fixed the flaw and paid a $5,000 bug bounty.

ORIGINAL LINK: https://simonwillison.net/2026/Oct/31/how-we-took-over-chatgpt-accounts/

New Study: Anthropic Just Gave You a Reason to Stop Working With AI...

AI often gives the same popular answers, such as 7, Shakespeare, or blue. A new Anthropic study suggests people may change their own choices to match AI. They may not even realize the AI influenced them.

ORIGINAL LINK: https://www.thealgorithmicbridge.com/p/new-study-anthropic-just-gave-you?utm_campaign=posts-open-in-app&triedRedirect=true

Artificial Analysis v5 and the benchmarker's dilemma...

Improving AI benchmark scores is costly but increasingly straightforward. Creating meaningful benchmarks for top AI models is much harder. The article explores this challenge.

ORIGINAL LINK: https://www.interconnects.ai/p/artificial-analysis-v5-and-the-benchmarkers

Can Frontier Models See Past a Decoy? Elorian Tests Visual Reasoning...

Elorian’s Glimpse model aims to reason about images by mentally editing and examining them, rather than relying on visual shortcuts. On the DecoyCount test, it scored higher than the other models tested, though its result came from just one run. Elorian says this kind of visual reasoning could help with real-world tasks and may be essential for artificial general intelligence.

ORIGINAL LINK: https://latent.space/p/elorian/

Was I wrong about open models & cyber risks?...

AI is helping uncover many serious software vulnerabilities, creating a difficult period for cybersecurity. The author now thinks open models are unlikely to be the main cause; closed models and broader cyber trends also matter. He expects costly disruption, but believes companies can adapt by finding and fixing flaws.

ORIGINAL LINK: https://www.interconnects.ai/p/was-i-wrong-about-open-models-and

Google admits AI Mode hurts Search revenue; -15% $500B drop worst since 2004 IPO. AI Bear Market coming? — Latent Space...

Google’s AI models are improving, but running them requires huge investments and limited computing capacity. Open and smaller models are also advancing, though some giant models are hard to use locally. The article raises concerns about AI’s costs and whether it may hurt Google Search revenue.

ORIGINAL LINK: https://latent.space/p/ainews-google-admits-ai-mode-hurts-search-revenue-15-500b-drop-worst-since-2004-ipo-ai-bear-market-c/