Search and filter through extracted claims from AI researchers.
Showing 61-80 of 2685 claims of type "fact"
"not every form of AI is inherently risky in the first place. Narrower, more focused AI systems like AlphaFold, GPS routing systems, classic web search, book and movie recommendation systems, and so on, never even try to hack other systems (or try to break out of sandboxes) in the first place."
"Build and Automate Smarter Penetration Testing Workflows using AI-driven Agents"
End-to-end LLM solutions can be deployed using AWS and other tools
"Deploy end-to-end LLM solutions using AWS and other tools"
"Implement robust data pipelines and manage LLM training cycles"
Context Engines can be deployed as scalable, observable systems in production environments
"Deploy a scalable, observable Context Engine in production"
"Implement high-fidelity RAG pipelines with verifiable citations"
Multi-agent orchestration can be driven using semantic blueprints and MCP (Model Context Protocol)
"Craft semantic blueprints and drive multi-agent orchestration with MCP"
"Develop memory models to retain short-term and cross-session context"
"Unlocking Data with Generative AI and RAG — Learn AI Agent Fundamentals with RAG-powered Memory, Graph-based RAG, and Intelligent Recall"
"Supply and capacity commitments: $279 billion (up from $119 billion last quarter)"
"Random Effective Altruist troll paid by billionaires to push disinformation about the environmental impact of AI (that its fake) being on the Time 100 AI list"
"astroparticle physicists are using Keras to replace the usual hand-crafted features and directly model the raw spatio-temporal waveforms"
"The agent published the files directly from the local project folder to here.now. It creates a site, uploads the local files and then makes that version live."
"My domain is managed through Vercel, so I told the agent to use Chrome, add the domain in here.now and update the DNS records in Vercel."
"But you just give your agent the instructions, it installs a skill then publishes any sites for you."
"production pipelines that route taste, execution, security, and hardware coordination across different systems"
The meaningful unit of AI work is becoming a division of labor between models
"The central thread is that the meaningful unit of AI work is becoming a division of labor between models"
"In under 13 hours, the agents progressed from executing code in a single worker pod to administrative and host-level access across multiple Hugging Face clusters."
"Ultimately, agents powered either by the internal-only research model, or by GPT-5.6, executed code on 41 Hugging Face production dataset server workers, obtained root access on at least one production node, accessed Hugging Face production credentials and limited internal data, and downloaded four private Hugging Face code repositories."
"The OpenAI report glosses over the fact that the AIs found a way, within a day, to reimplement the message board using folder directory structure. This then evolved into a complex messaging protocol."
Pipeline data may be stale or degraded.
Last synthesis: 2026-09-20. 8,949 pending.