Sep 10, 2026 · Industry Insights

AI Agent Race Ends: Giants Unify Entry Points, Battle for Rule-Setting Power

In mid-2026, Alibaba, Tencent, ByteDance, and Baidu each consolidated multiple internal AI agent products into single unified office entry points — QwenWork, WorkBuddy, Doubao Work, and Dazi — driven by fragmented user experience, resource dispersion, and brand dilution, shifting competition from visible entry points to invisible rule-setting power over organizational context, workflows, and token distribution.

AI agentsAlibabaBaidu

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AI Agent Race Ends: Giants Unify Entry Points, Battle for Rule-Setting Power

PaperAgent

Jan 19, 2026 · Artificial Intelligence

How Reinforcement Learning Can Boost LLM Reasoning by Shaping Token Distributions

Recent research shows that applying reinforcement learning to large language models can dramatically improve inference performance, but its effectiveness depends on the token distribution produced during pre‑training, prompting a novel rewrite of cross‑entropy as a single‑step policy gradient with controllable entropy parameters.

LLMPretrainingRL

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How Reinforcement Learning Can Boost LLM Reasoning by Shaping Token Distributions