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Today's topics:

Watermark removal versus provenance labels - An open-source tool claims it can remove visible and invisible AI image watermarks and strip provenance metadata, raising legal and trust concerns around media authenticity.

OpenAI adopts C2PA and SynthID - OpenAI is expanding image provenance with C2PA Content Credentials and adding SynthID watermarking, plus a verification tool—key moves for content authenticity and platform labeling.

How to evaluate AI agents - A new guide argues agent benchmarks must measure tool use, long-horizon reliability, and harness quality, using layered grading and outcome-based tasks like Terminal-Bench.

Open multimodal models get cheaper - Alibaba’s Qwen3 releases push multimodal and long-context capability into more efficient open models, lowering deployment costs for vision, video, and agent-style apps.

Pretraining surprises: mode-hopping - Researchers report “mode-hopping” during pretraining—models can abruptly switch between shallow heuristics and real reasoning—complicating how we pick checkpoints and data.

New efficient pretraining framework - Sapient’s HRM-Text open-sources a hierarchical recurrent approach and full training stack aimed at reducing compute barriers for from-scratch pretraining and reproducibility.

AI infrastructure, CPUs, and costs - NVIDIA’s Vera CPU begins shipping to major AI labs, while critics argue LLM economics remain shaky due to massive capex, power costs, and unclear AI revenue.

Censorship circuits inside model weights - A mechanistic interpretability study claims Qwen3.5’s PRC-related censorship is controlled by a small steerable circuit, making refusal behavior more legible—and manipulable.

AI backlash and courtroom drama - Graduates boo AI talk at commencements amid job anxiety, and a judge dismisses Musk’s lawsuit against Sam Altman on timing grounds, reshaping the OpenAI feud.

-Open-Source Tool Claims to Remove AI Watermarks and Provenance Metadata from Images
-Guide Explains How to Evaluate Long-Horizon AI Agents and Their Tool-Using Scaffolds
-Alibaba Qwen Releases Efficient Qwen3 Multimodal and Sparse MoE Models, Including FP8 Variants
-Study Finds Language Models ‘Mode-Hop’ Between Memorization and Generalization During Pre-Training
-Sapient Open-Sources HRM-Text, a Compute-Efficient 1B Language Model Pretraining Framework
-xAI Launches Grok Skills to Remember Workflows and Create Office Documents
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