“Alexandr Wang commented that muse spark 1.3 ranks #2 on Agents Last Exam (ALE), adding that he only realized it after seeing another post.”

#19 𝕏 Alexandr Wang commented that muse spark 1.3 ranks #2 on Agents Last Exam (ALE), adding that he only realized it after seeing another post.

“𝕏 Alexandr Wang said security and safety took the longest before the team felt comfortable releasing Meta’s Muse, because they believed people would use it only if they trusted it.”

#2 𝕏 Alexandr Wang said security and safety took the longest before the team felt comfortable releasing Meta’s Muse, because they believed people would use it only if they trusted it. Also covered by: @claire vo

“Alexandr Wang said users can often ask Muse to connect to something, and it will write the entire integration in the background.”

#11 𝕏 Alexandr Wang said users can often ask Muse to connect to something, and it will write the entire integration in the background.

“Muse Spark 1.3 Max still performs quite well and that the efficient frontier consists entirely of Muse, Claude, and GPT.”

#13 𝕏 Alexandr Wang commented on the updated artificial analysis index, saying Muse Spark 1.3 Max still performs quite well and that the efficient frontier consists entirely of Muse, Claude, and GPT.

“Also covered by: @Alexandr Wang #2 𝕏 Google Research announced TimesFM-3, a state-of-the-art time series foundation model that enables multivariate forecasting in a single forward pass and is claimed to significantly outperform other forecasting models across major benchmarks.”

#1 𝕏 Meta’s Muse Code exits beta with agent SDK preview #1 𝕏 Meta’s Muse Code is out of beta, with an SDK launching in developer preview for building agents on top of it and monthly subscription plans rolling out. Also covered by: @Alexandr Wang #2 𝕏 Google Research announced TimesFM-3, a state-of-the-art time series foundation model that enables multivariate forecasting in a single forward pass and is claimed to significantly outperform other forecasting models across major benchmarks.

“Alexandr Wang said Muse image is live on the Meta Model API at $0.01 per image, describing it as having one of the best price-to-quality ratios for production volumes.”

#5 𝕏 Alexandr Wang said Muse image is live on the Meta Model API at $0.01 per image, describing it as having one of the best price-to-quality ratios for production volumes.

“AI at Meta shared new evaluations and demos of Muse Spark 1.2, highlighting multimodal capabilities spanning visual-to-code generation, perception-to-physical action, and audio-visual understanding for video-heavy enterprise workflows.”

#2 𝕏 AI at Meta shared new evaluations and demos of Muse Spark 1.2, highlighting multimodal capabilities spanning visual-to-code generation, perception-to-physical action, and audio-visual understanding for video-heavy enterprise workflows. One demo shows the model parsing multimodal observations and calling tools to guide a robot through an unstructured environment to find a rubber duck. Also covered by: @AI at Meta , @Alexandr Wang

“Also covered by: @Alexandr Wang , @AI at Meta , @Alexandr Wang , @NVIDIA AI”

AI at Meta released Muse Glimmer, an open-weight, 30B-parameter model optimized for local, always-on agent workflows on consumer hardware, including Macs and PCs with performant GPUs. Its weights are available under the Apache 2.0 license. Also covered by: @Alexandr Wang , @AI at Meta , @Alexandr Wang , @NVIDIA AI

“Alexandr Wang announces Muse Spark 1.1 as SOTA on the Radiologists Last Exam Handover Readiness Index (RadLE-H), achieving performance levels that nearly match human experts.”

#14 𝕏 Alexandr Wang announces Muse Spark 1.1 as SOTA on the Radiologists Last Exam Handover Readiness Index (RadLE-H), achieving performance levels that nearly match human experts.

“#1 𝕏 Alexandr Wang shows that Muse Spark 1.1 outperforms Opus, Grok 4.5, and Gemini on a new challenging finite model theory/theoretical CS benchmark, underlining its advanced reasoning capabilities.”

How Anthropic limits AI agent blast radius #1 𝕏 Alexandr Wang shows that Muse Spark 1.1 outperforms Opus, Grok 4.5, and Gemini on a new challenging finite model theory/theoretical CS benchmark, underlining its advanced reasoning capabilities. #2 📝 Anthropic Engineering How we contain Claude across products - Anthropic engineers describe techniques for limiting the potential blast radius of increasingly capable agents by building containment across claude.ai, Claude Code, and Cowork. The article shares learnings and engineering approaches used to keep product integrations safe and reliable. #3 ▶️ The Correct Way to Build and Manage AI Agents in 47 Minutes | Jared Zoneraich Peter Yang Devon orchestrates a master AI agent to launch ten cloud-based child agents in parallel, each running in its own VM to redesign a landing page and perform automated integration tests via Devon’s Test App feature. Master Devon session spawned 10 child Devons in parallel, each running in its own VM to clone the codebase, apply redesign changes on a new Git branch, and open a pull request. Devon’s Test App feature ran integration tests in a live browser VM by programmatically clicking specified UI elements on the updated landing page to verify link functionality. A single Devon agent maintained a continuous 9-hour run on Cognition’s cloud platform without human supervision, showcasing extended asynchronous execution. #4 𝕏 Claude extends Claude Fable 5 access to all paid plans and keeps Claude Code’s weekly rate limits 50% above normal through July 19.