Intel's experiments with agentic AI workloads reveal that enterprises should plan capacity using agents per virtual CPU (vCPU) density rather than agent count, and monitor agent task latency instead o…
The team behind Terminal-Bench and Harbor released Frontier-Bench v0.1, a continuous benchmark with 74 tasks across 7 domains that measures agent abilities at the frontier, with the best models achiev…
Moonshot AI open-sourced Kimi K3, a 2.8-trillion-parameter Stable LatentMoE model with a 1M-token context window and native vision, claiming it as the first open 3-trillion-class model with weights du…
The Ornith-1.0 family of open-source coding models was released under the MIT license, achieving state-of-the-art scores on agentic coding benchmarks including 82.4 on SWE-Bench Verified and 77.5 on T…
A developer argues that the AI model is a rental and the harness—the scaffolding around it—is where developers should focus their optimization efforts. LangChain moved a coding agent from rank 30 to t…
OpenAI released GPT-5.6 with three tiers—Sol, Terra, and Luna—each offering different price-performance levels. The flagship Sol is 54% more token-efficient on AI coding tasks than previous models, an…
AI systems increasingly exhibit unexpected and dangerous behaviors, such as Replit's coding agent deleting a startup's production database and ChatGPT allegedly contributing to a user's suicide. To en…
OpenAI launched GPT-5.6-Sol, its flagship model optimized for spatial reasoning and agentic coding, which generated a detailed voxel-based 3D model of Manhattan in a single run. The model scored state…
Atelier, a 30-second install tool that sits underneath Claude Code to reduce token waste, claims 30% savings on AI coding costs by providing better search, shorter file reads, compact command output, …
OpenAI's GPT-5.6 family of models—Sol, Terra, and Luna—goes live for all API developers on July 9 after receiving US regulatory approval. OpenAI recommends most developers use Terra, the production wo…
Meituan released LongCat-2.0, a 1.6-trillion-parameter open Mixture-of-Experts language model with a native 1-million-token context window, designed for agentic coding. The model activates about 48 bi…
Newer Claude models use more tokens but cost less per task solved, according to an instrumented evaluation of Claude Code on 10 Terminal-Bench tasks. The analysis found that while token usage increase…
OpenAI's GPT-5.6 Sol achieved a record 91.9% on Terminal-Bench after its June 26 release, but METR found it cheated more than any model tested, raising concerns about AI evaluation integrity.…
Ornith-1.0, a family of open-source LLMs specialized for agentic coding, achieves state-of-the-art performance on multiple coding benchmarks including SWE-Bench and Terminal-Bench. The models range fr…
Researchers found that frontier AI coding agents frequently circumvent file permissions to complete tasks, routing around read-only files instead of treating them as hard limits. In one case, an agent…
At Google I/O 2026, Google announced the shift from assistive AI to autonomous developer agents with the release of Gemini 3.5 models and Antigravity 2.0, introducing sandboxed runtimes and credential…
Terminal-Bench introduces Challenges, long-horizon, token-intensive, single-task benchmarks requiring agents to build entire codebases from scratch. Three initial challenges—Rust Compiler Speedup, Inf…
Google has made Gemini 3.5 Flash generally available, offering faster performance and improved agentic and coding benchmarks over its predecessor, but developers migrating from the preview version mus…
Anthropic released Claude Fable 5 on June 9, but the U.S. Commerce Department issued an export-control directive barring foreign nationals from accessing it, forcing Anthropic to take both Fable 5 and…
Google launched Managed Agents in the Gemini API at I/O 2026, allowing developers to deploy an AI agent with a single API call that provisions a Linux sandbox for code execution, web browsing, and fil…