Hey, in this issue: Hackers can use 9 of the most popular AI tools to assemble massive botnets; A new look at AI’s Impact on jobs; How hiring is becoming a luck filter; Generative AI creates delicious, sustainable, and nutritious burgers; What happens when you run a CUDA kernel; DeepSeek open-sourced the software stack behind fast inference; An enterprise-facing reinforcement learning framework for LLM and VLM post-training; and more.
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[Ars Technica] Hackers can use 9 of the most popular AI tools to assemble massive botnets
A new look at AI’s Impact on jobs: Firm-level AI spending and workforce adjustment
HackerRank open sourced its applicant tracking system: How hiring is becoming a luck filter
[Model] DeepSpec: DeepSeek open-sourced the software stack behind fast inference
[Nature] Generative AI creates delicious, sustainable, and nutritious burgers
The Hundred-Page Deep Reinforcement Learning Book will be published soon. Stay tuned!
[Explained] What happens when you run a CUDA kernel
[Tool] miles: an enterprise-facing reinforcement learning framework for LLM and VLM post-training
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