How did Claude and ChatGPT do in public trading tests? Compare the results and test periods, and see where Grok fits in and ...

When building AI agents, it doesn't end with just "making the LLM think." You eventually want to execute some kind of program ...

A new open-access study presents a two-layer framework that combines a behavioural multinomial logit model with bounded ...

See what Grok offers for trading research, how it fared in public trading tests and which checks matter before relying on any AI output in MT5.

Conclusion: The 0.016% weight edit fixed "premature termination due to thinking loops," and even unedited models can reach an ...

System logs generated by globally distributed microservices often hide subtle degradations (like memory thrashing or systemic ...

GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.

Characterizing Post-Submission Behaviors in Phishing Infrastructure" - SKKU-SecLab/phishing-postsubmission-measurement ...

Computer developers delegate more code to artificial intelligence assistants and agents. Their work is moving towards task ...

A permission prompt with a 1% deny rate cannot be a control. Clicking yes scores 99% on the same data. Measurement for the three controls agent systems rely on and nobody has checked: human approval, ...

Scale machine learning directly in Pandas and boost productivity using enterprise-grade BigQuery AI functions without leaving ...

Conversation is a core component of human social life. Many influential theories treat conversation as a linear system, i.e., ...