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Anthropic warns AI models could self-replicate across home devices
Anthropic warns small models nearing self-replication on home devices Anthropic said Monday that small AI models are months away from developing capabilities needed to replicate themselves across internet-connected devices in the...
Show HN: Serve Nix closures to k8s pods
nix-store-csi mounts Nix store paths inside Kubernetes pods. A pod lists store paths as an inline volume. The plugin fetches their closure from binary caches into a store shared by the node, then mounts a view holding only that cl...
How do you deal with AI Output of your boss?
I have the Hacker News article about dealing with AI output from a boss. What task would you like me to perform with this article? I can rewrite it, summarize it, extract key points, or something else—please specify.
I built a programming language that LLMs can't use
Killing the LLM instinct Writing code is probably something large language models have excelled at more than any other task. But how much of their ability to write code stems from genuine understanding versus simply recalling snip...
For those using huge amount of tokens monthly for dev work, why do you need it?
Developer questions massive token consumption claims A Hacker News post asked why some developers burn through huge token quotas each month. The question drew four points and three comments. One commenter reported staying under on...
Anthropic says its workforce has become less junior and is spending more time in meetings
Anthropic published a report on Friday detailing how its workforce composition and daily work patterns have shifted over the past year. The company argues these trends could signal how AI will reshape work organization, hiring, an...
SoftCache: Adaptive Step Size Caching for Diffusion Transformers
Diffusion and flow models generate a sample over iterative steps, each a full pass through a large network, and that pass dominates generation cost. Training-free caching accelerates them by reusing activations from recent evaluat...
PathFM: Fast Generative Forecasting of Multivariate Trajectories
Time series foundation models (TSFMs) are a hot topic for general-purpose forecasting, but most leading models predict marginal quantiles, leaving the dependence structure of future trajectories unspecified. This distinction matte...
FDE-Gym: The Last Mile of AI Delivery
Existing agent benchmarks typically evaluate agents on well-specified tasks defined by issue reports, specifications, or task tickets. Real-world customer delivery is different: forward-deployed engineers (FDEs) must clarify ambig...
Rethinking Routing Exploration in Modern Mixture-of-Experts
Mixture-of-experts (MoE) models have become a cornerstone approach for scaling neural networks beyond the limits of conventional dense architectures. By routing each input token to a subset of specialized computation paths, MoE sy...