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Tag: #automated-research4 results
A new venture called Recursive Superintelligence has been formed by former researchers from Google, Meta, and OpenAI. The company aims to automate the AI development process through a massive $4 billion funding effort.
Analemma's FARS autonomously generated 166 AI research papers in 417 hours (17 days), costing $18.6K, via four agents handling ideation, planning, experiments, and writing. Processes live-streamed with GPU cluster dashboard and all code open-sourced on GitLab. Papers on AI4AI topics averaged 2.5 hours each, scoring 5.2/10 on AI review.
Analemma's Fully Automated Research System (FARS) ran for 228 hours straight, generating 244 hypotheses and 100 short papers at a rate of one every 2 hours. It consumed 11.4 billion tokens during this public demo. The month-long live stream continues online.
EDM-ARS is a multi-agent system automating end-to-end educational data mining research with five LLM-powered agents. It generates complete LaTeX manuscripts including validated ML analyses and Semantic Scholar citations. Released open-source with architecture details and a roadmap for expansions like causal inference.
KCD Hangzhou has opened its call for papers, inviting the community to discuss cloud native technologies, observability, and large-model inference in the Agent era. The announcement targets practitioners interested in sharing or learning about the infrastructure behind AI agents.
Linkdaze is positioning its smart digital calendar as a tool for managing an entire household rather than simply tracking appointments. Its AI meal planner is included without requiring a paid subscription.
Mayfield has invested more than $3 billion in AI companies, often before founders have built products or formally incorporated. Managing Partner Navin Chaddha explains the firm’s belief in AI as a potential “100x opportunity” and its decision to remain focused on early-stage investing.
The discussion proposes treating a transformer’s KV cache as a high-dimensional, navigable vector space rather than a flat array. This could enable indexing and localized attention, reducing the need to scan all stored context at every inference step.
Vercel CLI now supports the full Vercel Toolbar comment triage workflow from the terminal. Developers can list, inspect, reply to, resolve, reopen, edit, and delete comments, with JSON output available for scripts and coding agents.
Qwen Code v0.21.15 improves Web Shell performance, file attachments, sidebar synchronization, and Goal v3 controls. It also adds reasoning toggles for hybrid Qwen models, resume support for reviews, and authenticated HTTPS Git extension installs.