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Artificial intelligence is moving quickly in the enterprise, from experimentation to everyday use. Organizations are deploying copilots, agents, and predictive systems across finance, supply chains, human resources, and customer operations. By the end of 2025, half of companies used AI in at least three business functions, according to a recent survey. But as AI becomes…
OpenAI releases workspace agents for ChatGPT to automate workflows and integrate enterprise tools with cloud-based execution.
When people say AI will speed up drug development or fear that it will bring about mass layoffs, what they have in mind—whether they know it or not—are AI agents. ChatGPT made large language models a mass consumer product. But to change the world, AI needs to do more than just talk back: It needs…
Move highlights the difficulty of finding high-quality interactive training data.
Founded by an OSU researcher, the startup is developing AI agents that can become experts in any domain.
As AI agents increasingly work alongside humans across organizations, companies could be inadvertently opening a new attack surface. Insecure agents can be manipulated to access sensitive systems and proprietary data, increasing enterprise risk. In some modern enterprises, non-human identities (NHI) are outpacing human identities, and that trend will explode with agentic AI. Solid governance and…
GAAP execution environment guarantees privacy for AI agents by enforcing data access controls against prompt injection and untrusted providers.
Andreas Påhlsson-Notini argues current AI agents inherit human flaws—lack of rigor, patience, focus—rather than transcending them.
Framework for long-horizon terminal agents using observational context compression; reduces quadratic token cost via self-evolving compression.
Multi-agent LLM framework addresses actor-observer cognitive bias via dialectical alignment in self-reflection loops.
Four-axis alignment framework (factual, reasoning, compliance, regulatory) for evaluating long-horizon enterprise AI agents in loan/claims/clinical domains.
DeepRed benchmark evaluates LLM agents on realistic Capture The Flag challenges with partial-credit scoring beyond binary outcomes.
The boom in open source generative AI models is pushing beyond data centers into machines operating in the physical world. Developers are eager to deploy these... The boom in open source generative AI models is pushing beyond data centers into machines operating in the physical world. Developers are eager to deploy these models at the edge, enabling physical AI agents and autonomous robots to automate heavy-duty tasks. A key challenge is efficiently running multi-billion-parameter models on edge devices with limited memory. With ongoing constraints on… Source
ClawEnvKit generates diverse robotic manipulation environments from natural language via automated parsing, generation, and verification pipeline.
MASS-RAG: multi-agent synthesis for RAG with role-specialized agents for summarization, extraction, and reasoning over noisy/incomplete contexts.
AI tools are significantly accelerating software development and changing how developers work with code. These tools serve as real-time copilots, automating... AI tools are significantly accelerating software development and changing how developers work with code. These tools serve as real-time copilots, automating repetitive tasks, executing tasks, writing documentation, and more. OpenAI Codex, for example, is a coding agent designed to assist developers through tasks like code generation, debugging, and automated pull request (PR) creation. Source
Tech workers in China are being instructed by their bosses to train AI agents to replace them—and it’s prompting a wave of soul-searching among otherwise enthusiastic early adopters. Earlier this month a GitHub project called Colleague Skill, which claimed workers could use it to “distill” their colleagues’ skills and personality traits and replicate them with…
Analysis of headless API-first architecture replacing GUI interaction for personal AI agents, citing Salesforce Agentforce.
MACE multi-agent framework verifies claims from tabular data using specialized Planner, Executor, Verifier agents with zero-shot CoT.
Benchmark of 10 frontier LLM agents on NYU CTF Bench offensive cybersecurity tasks across 7 providers, 200 challenges.
Graph-of-Agents proposes graph-based multi-agent LLM orchestration with node sampling and decoupled communication to improve task performance over Mixture-of-Agents.
SeekerGym benchmark evaluates completeness and trustworthiness of information retrieved by deep research AI agents, addressing information gaps and bias.
HIVEMIND applies OS scheduling primitives (admission control, AIMD backpressure, circuit breaking) to coordinate concurrent LLM coding agents sharing rate-limited API endpoints.
Coding agents are starting to write production code at scale. Stripe’s agents generate 1,300+ PRs per week. Ramp attributes 30% of merged PRs to agents.... Coding agents are starting to write production code at scale. Stripe’s agents generate 1,300+ PRs per week. Ramp attributes 30% of merged PRs to agents. Spotify reports 650+ agent-generated PRs per month. Tools like Claude Code and Codex make hundreds of API calls per coding session, each carrying the full conversation history. Behind every one of these workflows is an inference stack under… Source
Agents are evolving from question-and-answer systems into long-running autonomous assistants that read files, call APIs, and drive multi-step workflows.... Source
Developing real-time vision AI applications presents a significant challenge for developers, often demanding intricate data pipelines, countless lines of code,... Developing real-time vision AI applications presents a significant challenge for developers, often demanding intricate data pipelines, countless lines of code, and lengthy development cycles. NVIDIA DeepStream 9 removes these development barriers using coding agents, such as Claude Code or Cursor, to help you easily create deployable, optimized code that brings your vision AI applications to… Source
Anthropic releases Claude Opus 4.7 with improved coding, agents, vision, and multi-step reasoning capabilities.
OpenAI updates Agents SDK with native sandbox execution and model-native harness for secure, long-running agent development.