deployedbyai

The Deploy Log | Week by week | Free, no signup

What shipped in AI, week of

16 rows are listed for in The Deploy Log, from 7 companies. OpenAI and Vercel shipped the most, 4 rows each, then Hugging Face with 3. Models first seen in the record this week: GLM-5, GPT-5.3-Codex-Spark and MiniMax M2.5. Every item sourced to the publisher's own page.

In figures

Companies with the most rows
CompanyRows
OpenAI4
Vercel4
Hugging Face3
Google Research2
Google DeepMind1
Notion1
Waymo1
FigureValue
Rows16
Rows the week before13
Change against the week before+3
Companies7
Companies seen for the first time0
Models seen for the first time3: GLM-5, GPT-5.3-Codex-Spark and MiniMax M2.5
Rows with no shipped date, placed by their edition or the day they were added15
Rows by shipped day, February 9 to 15, 2026February 9, 2026: 0 rows; February 10, 2026: 0 rows; February 11, 2026: 0 rows; February 12, 2026: 0 rows; February 13, 2026: 1 row; February 14, 2026: 0 rows; February 15, 2026: 0 rows.0Feb 90Feb 100Feb 110Feb 121Feb 130Feb 140Feb 15
Each bar counts the rows their publishers dated that day. Not drawn: 15 rows with no shipped date, placed by an edition or by the day added. Data as of .

Leads

6th-generation Waymo Driver

Waymo began fully autonomous operations with its 6th-generation Driver on the Ojai, built on nearly 200 million fully autonomous miles across 10+ major cities, with a 17 megapixel imager and fewer than half the cameras of the 5th-generation system.

Waymo | In Edition 21,

SOURCE Waymo, Beginning fully autonomous operations with the 6th-generation Waymo Driver

GPT-5.3-Codex-Spark

OpenAI released a research preview of GPT-5.3-Codex-Spark, a smaller GPT-5.3-Codex model that delivers more than 1000 tokens per second on Cerebras hardware, with a 128k context window and text-only input.

OpenAI | In Edition 21,

SOURCE OpenAI, Introducing GPT-5.3-Codex-Spark

Gemini 3 Deep Think

Google DeepMind released a major upgrade to Gemini 3 Deep Think, now available in the Gemini app for Google AI Ultra subscribers, with 48.4% on Humanity's Last Exam without tools, 84.6% on ARC-AGI-2, and an Elo of 3455 on Codeforces.

Google DeepMind | In Edition 21,

SOURCE Google DeepMind, Gemini 3 Deep Think: Advancing science, research and engineering

Models and APIs

CUDA kernel agent skill

Hugging Face released an agent skill that teaches Codex and Claude to write production CUDA kernels, producing an RMSNorm kernel for Qwen3-8B with an average 1.94x speedup on H100.

Hugging Face | Models and APIs | In Edition 21,

SOURCE Hugging Face, Custom Kernels for All from Codex and Claude

ChatGPT on GenAI.mil

OpenAI deployed a custom ChatGPT on GenAI.mil, the Department of War's secure enterprise AI platform used by 3 million civilian and military personnel, for unclassified work in authorized government cloud infrastructure.

OpenAI | Models and APIs | In Edition 21,

SOURCE OpenAI, Bringing ChatGPT to GenAI.mil

GPT-5.2 physics result

GPT-5.2 Pro conjectured a formula for single-minus gluon tree amplitudes, and an internal scaffolded GPT-5.2 spent roughly 12 hours producing a formal proof, with the preprint available on arXiv.

OpenAI | Models and APIs | In Edition 21,

SOURCE OpenAI, GPT-5.2 derives a new result in theoretical physics

OpenEnv Calendar Gym

Turing contributed a production-grade calendar management environment to OpenEnv, where agents achieved close to 90% success with explicit calendar identifiers but dropped to roughly 40% with natural language descriptions.

Hugging Face | Models and APIs | In Edition 21,

SOURCE Hugging Face, OpenEnv in Practice: Evaluating Tool-Using Agents in Real-World Environments

Transformers.js v4

Transformers.js v4 is now available on NPM with a C++ WebGPU runtime, a 10x build time drop from 2 seconds to 200 milliseconds, and a default export that is 53% smaller.

Hugging Face | Models and APIs | In Edition 21,

SOURCE Hugging Face, Transformers.js v4: Now Available on NPM!

Lockdown Mode

OpenAI introduced Lockdown Mode for ChatGPT Enterprise, Edu, Healthcare, and Teachers, disabling live web access, image support, Deep Research, Agent Mode, and more to reduce prompt-injection risks.

OpenAI | Models and APIs | Published

SOURCE OpenAI, Introducing Lockdown Mode and Elevated Risk labels in ChatGPT

Tools and products

Claude Opus 4.6 in Notion

Notion added Claude Opus 4.6, the strongest model Anthropic has shipped, which breaks complicated requests into concrete steps and produces polished work.

Notion | Tools and products | In Edition 21,

SOURCE Notion, Claude Opus 4.6, now in Notion

GLM-5 on AI Gateway

GLM-5 from Z.AI is now available on AI Gateway with no other provider accounts required, adding multiple thinking modes and improved long-range planning over GLM-4.7.

Vercel | Tools and products | In Edition 21,

SOURCE Vercel, GLM-5 is live on AI Gateway

MiniMax M2.5 on AI Gateway

MiniMax M2.5 is now available on AI Gateway, planning before it builds and handling full-stack projects across Web, Android, iOS, Windows, and Mac.

Vercel | Tools and products | In Edition 21,

SOURCE Vercel, Use MiniMax M2.5 on AI Gateway

Vercel Flags

Vercel Flags entered public beta with targeting rules, user segments, and environment controls in the Vercel Dashboard, priced at $30 per 1 million flag requests.

Vercel | Tools and products | In Edition 21,

SOURCE Vercel, Vercel Flags is now in public beta

stale-if-error support

Vercel CDN now supports the stale-if-error Cache-Control directive, serving previously cached responses during 500 errors, network failures, or DNS errors.

Vercel | Tools and products | In Edition 21,

SOURCE Vercel, stale-if-error Cache-Control header is now supported

Breakthroughs

DialogLab

Google Research introduced DialogLab, an open-source prototyping framework for authoring, simulating, and testing dynamic human-AI group conversations, evaluated with 14 participants who rated human control mode significantly more engaging.

Google Research | Breakthroughs | In Edition 21,

SOURCE Google Research, Beyond one-on-one: Authoring, simulating, and testing dynamic human-AI group conversations

Time-varying scheduling

Google Research introduced the first constant-factor approximation algorithms for non-preemptive throughput maximization under time-varying capacity, with a 1/2-approximation offline and a 1/11 competitive ratio online with common deadlines.

Google Research | Breakthroughs | In Edition 21,

SOURCE Google Research, Scheduling in a changing world: Maximizing throughput with time-varying capacity

One line every time AI actually ships, around the clock, free on Threads and Bluesky. Every one is in The Deploy Log with its source.

The Saturday edition is the week in one, free to read on the site, and by email if you want it: get it by email.