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Alexandr Wang on AI · ViralLoop

Post by Alexandr Wang on X

Alexandr Wang@alexandr_wang

Scale AI & CAIS are releasing Humanity’s Last Exam (HLE), a dataset of 3,000 questions developed with hundreds of subject matter experts (PhDs, profs, etc.) to capture the human frontier of knowledge and reasoning. State-of-the-art AIs get <10% and are highly overconfident. 🧵

399 likes27 repliesPosted Jan 23, 2025

View the original on X Written by Alexandr Wang. Captured Sep 4, 2026.

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Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Ends on a short line that is easy to quote and repeat.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: plain, matter-of-fact
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

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More from Alexandr Wang

1/ today we’re releasing muse spark 1.3—available in muse code & the meta model api. this is our most capable model yet—frontier performance almost too cheap to meter. much stronger at agentic and coding with better usability. we think users will really notice the jump.

excited to be releasing open weights for muse glimmer today, a 30b model that runs on a single consumer gpu, with open weights for a version of muse spark 1.2 coming soon. two very different models, both headed into people's hands, with more to come.

concerning that data companies serving the US government (mercor, surge) are also working with Chinese AI labs. serving the US government should not be a commercial convenience, it must be a bedrock principle for startups.

2/ agentic performance and tool use are where we’re leading. it has strong performance on long-running agentic tasks with a 1M token context window with active context management, and can delegate execution across parallel-running subagents

1/ today, with the launch of muse image and the preview of muse video, we wanted to share more samples from the model alongside research details and eval results see some more samples from muse video below (and see thread for research blog!)

Also, MSL is hiring in Singapore! We already have some amazing researchers and engineers there, buoyed now by the 100-strong Manus team, and we’re growing fast. Feel free to DM with a resumé if interested!