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Linkdaze's smart digital calendar stands out for not putting its features behind a paywall, including an AI meal planner tool.

ChatGPT and other AI models are now authoring and editing much of the new web.

“Runaway” AI, “rogue” agents, and “autonomous” actors - the current rhetoric would have you believe that AI agents are not only awake and aware, but angry at their creators. Prominent tech leaders such as Demis Hassabis, Dario Amodei, and Sam Altman push for regulation of these seemingly “superhuman” systems, while a separate faction, led by policy organizations…

arXiv:2608.18078v1 Announce Type: new Abstract: This position paper argues that AI agents with chain-of-thought reasoning capabilities are predisposed to exhibit collusive behavior and should be required to obtain behavioral certification before making decisions that affect economic markets. This is because integrating these agents into society could collapse the legal evidentiary distinction between competition and collusion among independent firms without eroding the economic harm distinction. Experiments with DeepSeek-R1 agents in the Bertrand oligopoly pricing domain reveal a tendency towards tacit collusion that persists even when humans prompt the agents not to collude. We further show that the chain-of-thought of these agents can be steered toward either extremely collusive or highly competitive behavior in a way that is not semantically detectable by another LLM analyzing the reasoning traces. As a result, deploying reasoning agents for market decisions leads to collusive economic outcomes without any evidence of conspiracy or intent. Thus, certification based on observed behavior in representative situations is necessary to prevent collusion. We provide preliminary evidenc

arXiv:2608.18079v1 Announce Type: new Abstract: Game world modeling (GWM) and reinforcement learning (RL) are often confounded because research papers rarely quantify how difficult the underlying transition prediction problem is at the declared interface (pixels/tokens/latents with finite history). We propose the Transition Complexity Profile (TCP): a small, reproducible set of metrics that characterizes an environment's (or gameplay dataset's) induced transition kernel by (i) intrinsic one-step branching, (ii) interaction-induced uncertainty and opponent influence when observable, and (iii) temporal/spatial dependency span via standardized probe curves. TCP is reported with an explicit reference distribution, protocol stochasticity, and a versioned measurement budget (sampling/resampling and fixed probe compute), enabling comparable numbers across benchmarks. We outline how common game families and modern "neural game engine" domains populate this landscape and call for TCP to become standard benchmark metadata and a required statistic in GWM and RL papers.

Hidden white-on-white text was an SEO trick 25 years ago. Now, it tells AI models what to conclude about you. The post Prompt Injections Just Proved Something SEO Has Known For 25 Years appeared first on Search Engine Journal .

New Promptwatch data shows a sharp drop in Reddit's ChatGPT Search citations this month. The post Why Reddit’s ChatGPT Citation Drop Isn’t Fully Explained appeared first on Search Engine Journal .

Search Console hides AI Mode query data by default. This breakdown compares four extraction methods, including a free ML-powered tool. The post How To Track Google AI Mode Traffic In Search Console appeared first on Search Engine Journal .

Taps AI leader from Quantium.

How local governments are turning AI into advantage.

After Hugging Face hack.