Daily Edition · Page 3

THE DAILY INDEX

Technology, AI, software, security, crypto and business

GENERAL

TLDR AI

SLACK CODE: WHERE YOUR TEAM AND AGENTS BUILD TOGETHER

Slack Code introduces code channels to facilitate collaborative software development with AI agents. This feature allows teams to plan, write, and review together with integrated tools from partners like GitHub, Anthropic, and Vercel, creating a seamless workflow without the need for isolated tabs. Engineers can monitor code diffs and live previews directly in Slack, enhancing transparency and speeding up the development process.

PAGEDATTENTION: VIRTUAL MEMORY FOR THE KV CACHE

The KV cache is a per-request store of attention keys and values that lets models avoid recomputing them at every decoding step. It grows linearly with sequence length, and at long contexts, it eats more GPU memory than the model weights themselves, so it's a scarce resource. KV cache wastes a lot of memory by default. This article talks about how PagedAttention implements the idea of virtual memory in a way that attention kernels can still work with.

HARVEY POST-TRAINS KIMI K3 FOR LONG-HORIZON LEGAL WORK

Harvey post-trained a Kimi K3 base with asynchronous reinforcement learning in realistic long-horizon legal environments, then trained separate capabilities for diligence, review tables, and firm knowledge that the main system can route to as tools or subagents. The decision-changing idea is that a professional-service model can improve by learning the workflow and harness—not merely by ingesting more legal text—but every reported result is vendor-authored and task-specific.

TAOLIVE POST-TRAINS A SMALLER MODEL TO FOLLOW A CHANGING HARNESS

Harness-Aware Training is a post-training recipe rather than a new model architecture. TaoLive varies skill names and wording, tool schemas, prompt structure, and hook behavior during supervised fine-tuning and agentic reinforcement learning, teaching a compact 35B model to interpret the harness it currently receives instead of memorizing one fixed interface. It is useful post-training work, but the evaluation is vendor-authored, concentrated in live commerce, and not sufficiently groundbreaking for engineering and research.

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