Unconventional AI announced the first cohort of its 2026 Unconventional Grant, awarding $100,000 each to five projects selected from nearly 100 submissions. The winning projects are based at Stanford,…
Researchers from UT Austin and UC Berkeley released FreeToken, an edge-native Mixture-of-Experts (MoE) serving engine that adapts model execution to available hardware bandwidth, enabling a 753B GLM-5…
Researchers from UC Berkeley and UT Austin released FreeToken, an edge-native Mixture-of-Experts serving engine that runs the 753B-parameter GLM-5.2 model on a single workstation GPU, achieving 35B at…
OpenAI and CodeAI, formerly Code.org, are partnering to advance AI literacy in schools, addressing a gap where 84% of students use AI tools but only 16% of high-school leaders say all students receive…
A former computer science student and current AI startup builder argues that AI applications are not mere 'wrappers' but a new 'recursion layer' on top of the OSI model, where agents self-evolve and p…
Researchers from UCLA, UT Austin, and Lambda, Inc. introduced MT-EditFlow, a reinforcement learning framework for multi-turn image editing that uses flow matching to optimize reward signals. The frame…
Texas faces a looming infrastructure crisis as data center demand surges, with ERCOT receiving grid-connection requests totaling 439 gigawatts—five times the state's peak demand. Analysts warn that wa…
A startup founder recounts how detaching from outcomes while maintaining full effort led to success after a failed startup and pivot to machine learning. After a Series A collapse during COVID, the fo…
Researchers from UC Berkeley and UT Austin released Flash-KMeans, an IO-aware, exact k-means library that runs over 200× faster than FAISS on GPUs by restructuring data movement. The open-source libra…