Google AI Edge Model Explorer adds custom compiler IR debugging
Read original source →developers.googleblog.com
Arm built open-source adapters for TOSA, VGF, and PTE formats, letting engineers inspect Arm-specific IRs and hardware profiling traces in Model Explorer's hierarchical graph view. Arm used it to catch unintended TRANSPOSE operators introduced by an ExecuTorch Arm backend change in an exported NSS model.
1 source
More stories today
Datadog pitches agentic testing as AI-written code outpaces scripted tests
Datadog's Propolis uses agents to handle testing as AI-generated code volume surges; Anthropic engineers now ship eight times as much code as before, with some shipping thousands of PRs per month.
The New Stack·1 hour ago

Microsoft AI CEO Mustafa Suleyman outlines a "human-first" AI vision on CNN
In a CNN "Terms of Service" interview, Microsoft AI CEO Mustafa Suleyman lays out his case for a "human-first" AI future as development accelerates. The conversation opens on bringing a child into the AI era and moves into facing AI's risks.
CNN·1 hour ago
Reddit user reports Moss LoRAs struggle to learn characters
After two days of LoRA training, the user says Moss never really converges on likeness and has trouble with characters and fine details, though styles and concepts seem fine. Datasets previously used with Krea were tried.
r/StableDiffusion·1 hour agoOpenAI Alignment proposes complementary metrics beyond g-mean² for monitorability
OpenAI Alignment adds pair-matched comparisons and post-control risk to g-mean², its dataset-level measure of monitor discrimination. The post derives a pessimistic lower bound for intervention evaluations, where g-mean² previously used only the optimistic upper bound.
OpenAI Alignment·1 hour ago
AWS Agent Registry enables runtime tool discovery for agents
AWS's Agent Registry lets agents discover tools at runtime instead of hardcoding them, targeting enterprise systems that expose hundreds of internal APIs for pricing, support and orders. AWS says hardcoded tools degrade at a few dozen and become unmanageable beyond that.
AWS AI Blog·1 hour ago

Google open-sources TorchTPU, native PyTorch backend for TPUs
Announced at PyTorch Conference 2026 and co-developed with Meta's PyTorch team, TorchTPU replaces PyTorch/XLA and targets TPUs via a standard torch.device("tpu"). Google reports 52% MFU training Qwen 3 8B with TorchTitan on Ironwood, scaled to 8,192 TPU7x chips.
Google Developers Blog (AI)·1 hour ago

Krea 3 Ultra debuts at #5 on AA-Image-Editing v2.1
Artificial Analysis·1 hour ago
Ed Zitron argues the AI buildout's returns can't justify its spending
Zitron cites Apollo chief economist Torsten Slok's warning that "this AI thing better work out because if it doesn't ... we're going to have a problem," and argues hundreds of billions in investment chase single-digit billions in possible revenue. A companion piece questions whether promised data centers and GPU capacity actually exist.
Where's Your Ed At·1 hour ago
