Humanoids, autonomy, and embodied AI.
Hub content is updated incrementally.
Practical checklist to reduce citation hallucinations in long-form RAG by auditing chunking, retrieval/reranking, and refusal when evidence is thin.
Explains agentic coding and video generation as iteration-loop gains, emphasizing sandbox control, logs/tests, and evaluation checklists.
How agent link-opening expands the attack surface, and how instruction hierarchy, URL constraints, and sandboxing reduce leakage and injection.
A curated link roundup from recently collected official updates and tech news.
Android 17 reports highlight Secure Lock Device, intrusion logging, and Identity Check expansion—reshaping lock as an OS-level security state.
LLM choice increasingly hinges on structured output, tool calling, caching/batching, rate limits, and data governance—not benchmarks.
Claude Code introduces an agentic CLI loop with shell and filesystem access, shifting development toward permissions, verification, and review.
Cloudflare’s “Markdown for Agents” converts requested HTML pages to Markdown, easing RAG inputs while raising citation, control, and injection risks.
Reasoning vs instant modes trade quality, latency, and cost. Use If/Then defaults, streaming, and progress cues to keep user trust.
How GRPO-style relative ranking and multi-reward signals (format, tool calls, efficiency) shape agentic RL gains and risks in GPT-OSS.
OpenAI Codex reportedly runs on Cerebras WSE-3, highlighting lower TTFT and reduced round-trip overhead for faster agent UX.
OpenAI shares scaling PostgreSQL to millions of QPS using replicas, caching, rate limiting, and workload isolation to protect DB paths.
Prism, a free LaTeX-native workspace, embeds GPT-5.2 to unify writing, collaboration, and reasoning with a verification-focused workflow.
PersonaPlex combines text role prompts and audio voice prompts to keep consistent personas in low-latency, full-duplex speech conversations.
ZDNET tests six popular AIs with trick questions, highlighting hallucination risk and why teams need RAG, CoT, self-checks, and evaluation rules.
Even 1% step error can compound to ~37% success over 100 steps. Add actor-critic checks, HITL, and kill switches.
Learn how to manage security risks in AI-generated code using OWASP and NIST frameworks to balance productivity and safety.
A curated link roundup from recently collected official updates and tech news.
Explore Qwen 3's 36 trillion token training and how its Thinking Mode enhances reasoning across 119 languages.
Build efficient local agents using standardized tool-use interfaces and low-power hardware for optimized AI workflows.
AI adoption bottlenecks shift from technical limits to social trust and regulation. Success depends on leadership and governance.
With 40% of AI-generated code having vulnerabilities, developers must shift from writing to reviewing and validating code.
Analyzes causes of LLM hallucinations and suggests reliability strategies using RAG architecture and fact-checking metrics.
A curated link roundup from recently collected official updates and tech news.