AIAI New York, 2025
Catch up on every session from the AIAI New York with sessions across 3 co-located summit featuring the likes of Meta, Bank of America, Google DeepMind and many more.
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Anthropic Launches Claude Sonnet 4.5 with New Coding and Agentic State-of-the-Art Results
Anthropic launched Claude Sonnet 4.5 and units a brand new benchmark for end-to-end software program engineering and real-world pc use. The replace additionally ships concrete product floor modifications (Claude Code checkpoints, a local VS Code extension, API reminiscence/context instruments) and an Agent SDK that exposes the identical scaffolding Anthropic makes use of internally. Pricing stays…
The Role of Model Context Protocol (MCP) in Generative AI Security and Red Teaming
Table of contents Overview What MCP standardizes? Normative authorization controls Where MCP supports security engineering in practice ? Case study: the first malicious MCP server Using MCP to structure red-team exercises Implementation-Focused Security Hardening Checklist Governance alignment Current adoption you can test against Summary Resources used in the article Overview Model Context Protocol (MCP) is…
A New AI Research from Anthropic and Thinking Machines Lab Stress Tests Model Specs and Reveal Character Differences among Language Models
AI firms use mannequin specs to outline goal behaviors throughout coaching and analysis. Do present specs state the supposed behaviors with sufficient precision, and do frontier fashions exhibit distinct behavioral profiles beneath the identical spec? A workforce of researchers from Anthropic, Thinking Machines Lab and Constellation current a scientific methodology that stress exams mannequin specs…
How to Create AI-ready APIs?
Postman recently released a comprehensive checklist and developer guide for building AI-ready APIs, highlighting a easy fact: even essentially the most highly effective AI fashions are solely nearly as good as the info they obtain—and that information comes via your APIs. If your endpoints are inconsistent, unclear, or unreliable, fashions waste time fixing unhealthy inputs…
7 LLM Generation Parameters—What They Do and How to Tune Them?
Tuning LLM outputs is essentially a decoding drawback: you form the mannequin’s next-token distribution with a handful of sampling controls—max tokens (caps response size beneath the mannequin’s context restrict), temperature (logit scaling for extra/much less randomness), top-p/nucleus and top-k (truncate the candidate set by chance mass or rank), frequency and presence penalties (discourage repetition or…
Google DeepMind Introduces Genie 3: A General Purpose World Model that can Generate an Unprecedented Diversity of Interactive Environments
Google DeepMind has announced Genie 3, a revolutionary AI system capable of generating interactive, physically consistent virtual worlds from simple text prompts. This marks a substantial leap in the field of world models—a class of AI designed to understand and simulate environments, not merely render them, but produce dynamic spaces you can move through and…
