Tech News
Microsoft turns to AWS as GitHub faces AI capacity crunch
Microsoft is turning to AWS for additional AI capacity to support GitHub, highlighting the unprecedented demand for AI compute resources and the strategic importance of cloud infrastructure.
The Fable 5 Export Controls Harm US Cyber Defense
The Fable 5 Export Controls Harm US Cyber Defense: the Fable 5 Export Controls Harm US Cyber Defense I quoted The Atlantic quoting Kate Moussouris earlier, when I should have gone straight to the source. Here she is confirming t.
Build context-rich research agents with Deep Agents and Bedrock AgentCore
Deep Agents and Bedrock AgentCore: in this post, you'll build a competitive research agent that demonstrates this pattern end to end. This walkthrough targets developers building multi-step AI workflows who need.
Boosting MoE Training Throughput with Advanced Fusion Kernels
Advanced Fusion Kernels: mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable.
vllm-project/vllm v0.23.0
vllm-project/vllm v0.23.0 release: vLLM v0.23.0 Release Notes Please note that Minimax M3 is not yet supported in this version. Please follow vLLM recipe! * **DeepSeek-V4 matures across backends**: Following its.
GitHub Repos
wshobson/agents
FallbackPythonagent-skillsagentic-aitirth8205/code-review-graph
FallbackPythonai-codingclaudecft0808/edict
FallbackPythonai-agentsai-orchestrationResearch Papers
OpenCUA: Open Foundations for Computer-Use Agents
OpenCUA is an open-source framework for building computer-use agents, including a large dataset (AgentNet) and models that achieve state-of-the-art performance among open-source systems on the OSWorld benchmark.
Diversity-Aware Policy Optimization for Large Language Model Reasoning
This paper shows that promoting solution diversity during reinforcement learning training improves LLM reasoning performance, and proposes a token-level diversity objective that yields a 3.5% average improvement on math benchmarks.
TuneJury: An Open Metric for Improving Music Generation Preference Alignment
We introduce TuneJury, an open, instance-level pairwise reward model for text-to-music that predicts a music preference score from a text prompt and an audio clip. The released checkpoint is trained on publicly available human-preference labels covering arena-style (A vs.