Week 38, 2026 · Beginner · for younger readers

Newly checked in Week 38, 2026

This week, the most news came from Multimodal (5 items). In all, 33 items were newly checked, and 14 areas moved. There were 16 new names too — Tenstorrent, Yuran Wang et al.

33records added
14axes that moved
Sep 14–20dates
1,143total records then

Added, by axis

Axes with the most records come first. A record that spans several axes is counted once, under its main axis.

⑦5 records

Multimodal

  • Sep 10, 2026OpenAI — GPT-Live-1 API released — a full-duplex voice model that listens and speaks at the same time, doing away with the existing staged structure of STT→LLM→TTS. The company claims about 80% fewer interruptions than turn-based systems and a 30-percentage-point improvement over GPT-Realtime-2.1 on Full Duplex Bench. It delegates complex reasoning to back-end models such as GPT-6 Astra, adjusts tone, speed and conversational style through the system prompt, and supports telephone network integration. The voice layer costs $0.05 per minute.
  • Sep 10, 2026Microsoft — Released the speech recognition model Azure AI Speech LLM 2607. The company claims it ranks 2nd on the HuggingFace OpenASR leaderboard and that latency is up to 3 times faster than the previous 2605 release. Mixed-language recognition, Tier 2/3 language support, and handling of capitalization, punctuation and number formatting were improved, and a phrase list that designates more than 2,000 entities as dedicated fields supports domain customization for corporate terms, product names and abbreviations. Says it is deployed automatically on the server side to both the Fast API and the Real-Time API, with no customer action needed. Pricing was not disclosed.
⑧5 records

Inference Infrastructure & Serving

  • Sep 10, 2026vLLM, AMD, Embedded LLM — Published performance-engineering results from optimizing MiniMax M3 on the AMD Instinct MI355X. Company-reported: speedups of 3.14 times at MXFP8 concurrency 32 (342.4 tok/s per GPU), 2.09 times at concurrency 128 (623.7 tok/s) and 4.45 times with MXFP4 (TP2/EP1) (943.5 tok/s), and a total of 6,370.5 tok/s/GPU in a prefill/decode disaggregated setup. Fusing the shared expert into the routed-expert path cut kernel launches in the low-concurrency range by 30.2%; a compact page table that fits 128-token block sparse attention onto 16-token pages eliminated KV-cache copies; and extending AITER sparse attention to multi-token validation improved speculative decoding throughput by 7.9–8.3%.
  • Sep 10, 2026vLLM — Released a Tiered KV Cache Offloading framework. In a host-centric design in which all KV passes through host DRAM, evicted KV is preserved, instead of being recomputed, in three kinds of auxiliary tier: the file system (shared automatically through content-addressed naming), S3-compatible object storage, and peer-to-peer using ZMQ coordination and RDMA transfers. The company claims that, measured with Qwen3.6-35B-A3B on 2 H100s, throughput was more than 2 times that of the alternatives beyond 128 concurrent conversations; available from vLLM v0.22.
③4 records

Tools & Agents

  • Sep 10, 2026OpenAI — Agents API released in public beta — a cloud agent API in which OpenAI runs the Codex harness as a managed service. A single API call creates an agent by specifying the task, model, tools and execution environment, and it provides context management that carries context across long sessions, tool connections such as MCP, custom functions and web search, and orchestration that breaks complex tasks down and delegates them to parallel subagents. Sandboxes can be OpenAI-hosted or third-party, and it says there is no separate usage fee, with billing only for tokens and tool use.
  • Sep 10, 2026OpenAI — Released Data agent in ChatGPT Work. It connects directly to in-house data sources such as Amazon Redshift, Google BigQuery, Snowflake, Databricks, MongoDB and ClickHouse to build interactive dashboards from natural-language queries, integrates with BI tools such as Tableau, Power BI, Sigma and ThoughtSpot and with Google Drive and SharePoint files, and shares results via Slack and email. It is listed in the ChatGPT Work plugin directory; admins install it from the workspace settings and configure data-source connections and user permissions. OpenAI says almost all of its own product team and more than two-thirds of its GTM organization already use it to analyze internal data directly (company claim).

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How this relates to the main moduleThis page holds only what was added that week. For the whole story, open the main module — it is one latest edition, revised every week, while weekly editions stay as they were.