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  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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Saturday

Thursday

  10. A6 a6-051 · Cerebras：Blog

    Cerebras: Fast Inference Finds Its Rhythm

    Cerebras looks back at 2025: DeepSeek R1 Llama 70B runs at over 1500 tokens/second on its chips, about 57 times that of GPUs; independent testing by Artificial Analysis shows its inference performance exceeds NVIDIA Blackwell's record. Cognition's SWE-1.5 and SWE-grep series achieve frontier-level coding performance at up to 13 times the speed of general-purpose models. Cerebras has launched a 40+ exaflop data center in Oklahoma and is deploying more than 7 data centers across North America and Europe.

    Cerebras looks back at 2025: DeepSeek R1 Llama 70B runs at over 1500 tokens/second on its chips, about 57 times that of GPUs; independent testing by Artificial Analysis shows its inference performance exceeds NVIDIA Blackwell's record. Cognition's SWE-1.5 and SWE-grep series achieve frontier-level coding performance at up to 13 times the speed of general-purpose models. Cerebras has launched a 40+ exaflop data center in Oklahoma and is deploying more than 7 data centers across North America and

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  11. A6 a6-047 · Baseten Engineering Blog

    Baseten Engineering Blog AI Models Article List

    The AI Models section of the Baseten Engineering Blog brings together multiple articles on models and inference engineering, including NVIDIA Nemotron 3 Diarization, which achieves real-time speaker labeling at one cent per audio hour; DeepSeek-V4.1-Flash, which offers more efficient prefill for coding agents; and introductions to new models such as NVIDIA Nemotron 3.5 Lightning, Nemotron 3.5 ASR Streaming, and Nemotron 3 Embed. It also covers topics such as GLM-5.3 post-training scaling, GLM 5.2 vision capabilities, Laguna S 2.1, and recommendations for open-source post-trained models.

    The AI Models section of the Baseten Engineering Blog brings together multiple articles on models and inference engineering, including NVIDIA Nemotron 3 Diarization, which achieves real-time speaker labeling at one cent per audio hour; DeepSeek-V4.1-Flash, which offers more efficient prefill for coding agents; and introductions to new models such as NVIDIA Nemotron 3.5 Lightning, Nemotron 3.5 ASR Streaming, and Nemotron 3 Embed. It also covers topics such as GLM-5.3 post-training scaling, GLM 5.

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  12. A6 a6-047 · Baseten Engineering Blog

    Baseten AI Engineering Blog: MCP and Skills, DeepSeek Harness, Qwen3-TTS Fine-Tuning, and More

    The Baseten engineering blog has released new MCP and Skills for coding agents, enabling coding agents to use Baseten directly. The blog also covers how to run any open-source model in DeepSeek Harness, fine-tuning Qwen3-TTS for high-quality voice cloning, and running Kimi K3, GLM-5.2, and more in any harness.

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