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Wednesday

Tuesday

Monday

  4. The Beijing News

    AI helps you plan the National Day holiday, but don't let algorithms define "how to spend your money"

    During the National Day holiday, AI interactions related to travel on Fliggy increased by 297% month-on-month, and visits to Tongcheng Travel's DeepTrip agent during peak hours on the first day of the holiday grew more than threefold. AI is becoming a "travel buddy" for more and more people. However, experts point out that AI travel guides have a more hidden advertising tendency than traditional search platforms, and their recommendations have "black box" characteristics. In actual tests, flight tickets recommended by AI were about 10 yuan more expensive than on other platforms. Platforms should draw a clear boundary between "recommendation" and "charging," and consumers should treat AI plans as drafts rather than decisions.

    During the National Day holiday, AI interactions related to travel on Fliggy increased by 297% month-on-month, and visits to Tongcheng Travel's DeepTrip agent during peak hours on the first day of the holiday grew more than threefold. AI is becoming a "travel buddy" for more and more people. However, experts point out that AI travel guides have a more hidden advertising tendency than traditional search platforms, and their recommendations have "black box" characteristics. In actual tests, flight

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Sunday

Saturday

  1. A6 a6-047 · Baseten Engineering Blog

    Baseten Engineering Blog Research Articles List: GLM-5 Inference Optimization and Legal Agent Training

    The Baseten Engineering Blog research section features several articles, including "How we built the fastest GLM-5 on Artificial Analysis," post-training frontier legal agents in collaboration with Harvey, dark-free distillation, BYO SWE-grep automatic training of search sub-agents (Part 1), Lumina customer-in-the-loop self-improving evaluation, attention-based attribution, and robust sample-efficient SFT with prompt mutation. Popular models listed on the page include DeepSeek V4.1 Flash, GLM-5.3 Fast, GLM-5.3, GLM-5.3-Flash, Kimi K3, and Whisper Large V3.

    The Baseten Engineering Blog research section features several articles, including "How we built the fastest GLM-5 on Artificial Analysis," post-training frontier legal agents in collaboration with Harvey, dark-free distillation, BYO SWE-grep automatic training of search sub-agents (Part 1), Lumina customer-in-the-loop self-improving evaluation, attention-based attribution, and robust sample-efficient SFT with prompt mutation. Popular models listed on the page include DeepSeek V4.1 Flash, GLM-5.

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Friday

  1. Latent Space

    Airbnb CTO Ahmad Al-Dahle on How to Transform Airbnb into an AI-Native Company

    Ahmad Al-Dahle, former head of generative AI at Meta and now CTO of Airbnb, told Latent Space about Airbnb's AI-native transformation: currently 60% of code is written by AI, feature delivery volume has increased nearly 80% year over year, and per-engineer PR throughput has risen about 1.6x. Customer support was the first user-facing deployment scenario, with about half of tickets resolved by AI, which the company says is consistent with the nearly 45% figure in its Q2 earnings report. The internal organizational context graph Everest enabled two services—grocery delivery and airport pickup—to launch quickly, with the latter taking about six weeks to develop. Airbnb adopts a multi-model strategy, deploying at least 10 custom models and selecting models for different scenarios along the Pareto frontier of cost, performance, and latency: the strongest frontier models for coding, and smaller, faster post-trained models for search. The internal agent AirChat is already connected to MCP organizational context, and the team is advancing event-triggered asynchronous agents to automatically handle on-call.

    Ahmad Al-Dahle, former head of generative AI at Meta and now CTO of Airbnb, told Latent Space about Airbnb's AI-native transformation: currently 60% of code is written by AI, feature delivery volume has increased nearly 80% year over year, and per-engineer PR throughput has risen about 1.6x. Customer support was the first user-facing deployment scenario, with about half of tickets resolved by AI, which the company says is consistent with the nearly 45% figure in its Q2 earnings report. The inter

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    #newsletter#Industry news#Agents#English text is being prepared.