2026.01.28
2026.01.28
SEO leaders outline how AI will reshape search visibility in 2026
geo-seo
Six SEO leaders describe a shift from clicks to machine-readable data, agent-ready commerce, and conversational ad formats.
AI Search’s Next Battlefront: Browsers and Behavioral Data
geo-seo
An AMA with Mark Williams-Cook maps how browser ownership and usage signals could reshape AI search visibility, click dynamics, and geo context.
Chrome adds a Gemini sidebar and agent-style auto-browsing
ai-agents
Chrome adds a persistent Gemini sidebar and an auto-browse agent for web tasks.
Claude-Built CUDA Kernel Skills, Now Portable to Open Models
ai-agents
Hugging Face introduced a workflow for turning a high-end model’s successful coding trace into a reusable “agent skill”, then evaluating how well that skill transfers to smaller open models for CUDA kernel work.
Deep Agents adds context compression for long-running agent runs
ai-agents
LangChain’s Deep Agents SDK details a three-layer approach to keep agent sessions within context limits by offloading large tool payloads and summarizing only when needed.
Moltbot’s local AI agent hype comes with real security tradeoffs
ai-agents
Moltbot is an open-source, locally run AI agent that can automate browser and desktop tasks via chat apps. Its ability to access system files, credentials, and shell commands has also triggered warnings about prompt-injection and exposed secrets.
Dynamic context parallelism cuts waste in variable-length training
ai-agents
NVIDIA described Dynamic Context Parallelism (Dynamic-CP) in Megatron Core, a per-microbatch scheduling approach that adapts context-parallel sharding to variable-length sequences to reduce idle time and communication overhead.