Moonshot AI has introduced Kimi K3.1 Pro and its Highspeed variant, offering a 1-million-token context window through channels including the Kimi API. According to the company, Highspeed runs at 2–3 times the speed of the standard version.
Moonshot AI has released Kimi K3.1 Pro and Kimi K3.1 Pro Highspeed on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API; the source does not specify the release date. K3.1 Pro is the first model in the K3.1 series, produced through post-training of Kimi K3, and provides a 1-million-token context window. According to the company, Highspeed runs at 2–3 times the speed of K3.1 Pro. In the company's published Terminal-Bench 4.0 results, K3.1 Pro scored 65.7%, compared with 58.2% for GPT-6 Astra and 66.4% for Claude Opus 5.5. On the internal Kimi Code Bench 3.0 Long-horizon test, it scored 61.2%, compared with 55.95% for K3; this test evaluates coding Agents on multi-step execution, tool use, and end-to-end problem solving.
OpenAI’s 28-day Codex improvement program completed a usage-limit reset and introduced connection, cache, and CLI updates. Tibo said CLI usage had doubled since DevDay, with reusable prompt presets and enterprise MCP login among the new features.
OpenAI completed a usage-limit reset on day 18 of its 28-day Codex improvement program and announced connection, cache, and CLI updates on day 19. According to Tibo, dots calls now connect faster, and changing reasoning intensity midway through Codex and Work conversations no longer invalidates the cache. The CLI updates cover configuration reuse, enterprise login, and conversation recovery: they add reusable prompt presets, inline model and permission settings, enterprise MCP login, and Windows enterprise proxy authentication, while fixing failures when resuming long conversations. Tibo also said CLI usage had doubled since DevDay.
ZCode launches a limited-time free token promotion
开发生态
ZCode has announced a limited-time giveaway for 1024 Programmers’ Day, offering 200,000 quota packages totaling 500 million tokens on a first-come, first-served basis. Eligibility extends beyond Coding Plan users, and recipients must switch to Start Plan to use the tokens.
ZCode announced a free token giveaway for 1024 Programmers’ Day, with claims opening on October 23 at 20:00; the source does not specify a year. According to the company, users can claim a package through an in-app pop-up after logging in to the latest official ZCode client, and eligibility is not limited to Coding Plan users. The giveaway includes 200,000 quota packages distributed on a first-come, first-served basis. Of the 500 million tokens, 200 million are allocated to GLM-5.3 and 300 million to GLM-5.3-Flash. Recipients must switch to the Start Plan subscription to use the allocation, which is available from October 23 at 23:00 through October 26 at 09:00.
Qoder has extended free access to DeepSeek-Flash by another 7 days, setting the end date at October 31. According to the official announcement, all Qoder products currently support DeepSeek-V4.1-Flash-1017.
Qoder announced that free access to DeepSeek-Flash in its products will end on October 31, extending the previous period by another 7 days; the source does not specify the year. On version support, the company said that all Qoder products currently support DeepSeek-V4.1-Flash-1017.
Google Pro users report Argon access in Antigravity
开发生态
Antigravity’s official documentation says reasoning model availability depends on the subscription plan, with some access restricted to paid Google AI Pro users. Users can switch models and choose from three thinking levels.
Antigravity’s official model documentation sets out subscription requirements and usage restrictions for reasoning models but does not specify when these rules take effect. According to the documentation, some models are restricted to non-trial Google AI Pro subscriptions, while another access category includes paid subscriptions or trials with eligible premium devices; switching to a paid plan requires submitting a request. Users can select a model below the conversation input box and set the thinking level to Low, Medium, or High. The model selection persists within a conversation; if users switch while an Agent is running, the current turn continues with the original model until execution finishes or is canceled. The documentation also flags models scheduled for removal on November 2, 2026, and models available in the Antigravity App, Antigravity CLI, and IDE extensions but not in Antigravity IDE; the supplied source does not name the models associated with those notes.
Cursor adds desktop control to test features under development
开发生态
Cursor announced Computer Use, extending Agent testing beyond the browser to desktop apps such as iOS Simulator through clicks and typing. Users can try it after updating Cursor and can explicitly invoke it in a prompt.
Cursor announced Computer Use, allowing users to have an Agent operate desktop apps to test features it has developed after updating Cursor. According to the company, the Agent automatically uses the capability when a task requires it, and users can also invoke it by @-mentioning Computer Use in a prompt. Supported targets include iOS Simulator, rather than being limited to the browser. For deployment, Cursor’s documentation lists macOS and Linux support on self-hosted machines through My Machines and Team Pools, with actions including clicking, typing, and taking screenshots. Browser interaction is also available after installing Chrome or Chromium. On macOS, the desktop session must remain logged in, and the Cursor Computer Use helper app must receive Accessibility and Screen Recording permissions. Linux requires an X11 display environment and the relevant desktop dependencies.
Scheduled tasks in the OpenAI Agents API support starting or continuing a session using a cron expression and time zone, and allow an Agent to arrange follow-up tasks while working. Each invocation records an attempt to deliver a task, letting developers inspect its status and the receiving session.
The OpenAI Agents API provides scheduled automations to trigger Agent sessions on a schedule; the source does not specify a launch date. According to the official documentation, developers can set execution times with a cron expression and time zone, choosing either to create a new session or continue an existing one. Adding the automations tool also enables an Agent to schedule follow-up tasks within its current session. Configuration involves defining the task instructions and tools, then saving when to run and which session to use through /v1/agents/automations. Monitoring is organized by invocation, with each record representing an attempt to send a task to a session and exposing its status and session ID. The /v1/agents/automations/{automation_id}/invocations endpoint shows when a task was sent and which session received it. Tasks run with conversation history and tools, and developers can track progress and collect results through /v1/agents/sessions/{session_id}/events.
MiniMax has released the weights for M3.1 Flash, which supports a context window of up to 1 million tokens and is available to download from Hugging Face and ModelScope. The company says overall usage costs for Agent tasks are 70% lower than for the previous generation.
MiniMax announced the release of M3.1 Flash model weights, with Together AI launching the model at the same time and downloads available through Hugging Face and ModelScope. The model targets Agent tasks, coding, computer use, and cybersecurity, with 428 billion total parameters and 23 billion active parameters per token. It accepts text, image, and video inputs, produces text output, and supports a context window of up to 1 million tokens. According to MiniMax, the model uses model-wide sparse attention, quantization-aware training, and DSpark speculative decoding to improve inference efficiency, with overall usage costs for Agent tasks reduced by 70% compared with the previous generation.
Seedance 2.5 4K launches, with trials currently limited to select businesses
模型发布
Volcano Engine has launched Seedance 2.5 4K, with trials currently limited to selected enterprise customers. The version lets users validate storyboards with 480P drafts before generating final 4K videos and supports 10-bit color depth, with access potentially expanding in stages.
Volcano Engine has released Seedance 2.5 4K, which is currently in trials with selected enterprise customers, with access potentially expanding in stages. In the generation workflow, users can first output 480P videos through Draft mode to validate storyboards and refine shots, then generate final 4K videos after confirming the results. The model supports 10-bit color depth. According to Volcano Engine, targeted training has improved its rendering of facial expressions, subtle movements, and visual details. The company also says that, in reference-based generation and video editing, the model better preserves the image quality, sharpness, and colors of uploaded materials, making small text in reference materials such as posters and product packaging clearer.
NVIDIA has released Nemotron-3.5-Bolt-E4B-4GB, an open model with 8 billion total parameters for local assistants, interactive characters, and robots. According to Unsloth’s deployment guide, it requires approximately 4GB of VRAM or 6GB of system memory to run.
NVIDIA has released the small open model Nemotron-3.5-Bolt-E4B-4GB for local voice and device assistants, interactive characters, and robots, with a focus on multi-turn conversations and tool calling. Post-trained from Gemma-4-E4B-it, the model has 8 billion total parameters and 4 billion effective parameters, with support for up to 64K tokens of context. According to Unsloth’s deployment guide, it can run with approximately 4GB of VRAM or approximately 6GB of system memory. The release includes a Q4_K_M quantized version, a BF16 full-precision version, and a companion DFlash draft model. It uses the OpenMDW-1.1 license, which permits commercial and non-commercial use.
腾讯混元 open-sources interactive video world model Hy-Nomas
模型发布
Tencent Hunyuan has open-sourced its interactive video world model Hy-Nomas and released it on GitHub and Hugging Face. The model supports interaction through text prompts and camera trajectories; according to the team, it includes world memory and inference optimizations for consumer GPUs.
Tencent Hunyuan has released and open-sourced its interactive video world model Hy-Nomas, with the model now available on GitHub and Hugging Face and a demo page also provided. It supports free-form interaction using text prompts and camera trajectories. According to the team, Hy-Nomas can retain world memory during long-horizon generation and adapt to specialized domains such as robotics through lightweight LoRA. Beyond interaction and domain adaptation, the team says the model’s inference has been optimized for consumer GPUs. The source does not specify a release date, concrete hardware requirements, or performance data.
Block unveils Dessa, a model trained solely on audio
模型发布
Block has introduced Dessa, a voice model it says was trained from scratch solely on human conversation audio, without text or pretrained models. According to the company, training used just one NVIDIA GB200 NVL72, and the model can run locally on a MacBook Pro M4 Max or better.
Block has introduced Dessa, a model trained exclusively on human speech; the source does not specify an announcement date. According to the company, it was trained from scratch without text or pretrained models, using just one NVIDIA GB200 NVL72. Dessa uses a speech-to-speech approach, taking audio directly as input and producing audio as output, with full-duplex operation allowing it to listen and speak simultaneously. The company says the model can interject, offer brief acknowledgments, and handle vocal information such as emotion, sarcasm, laughter, and breathing. It also says inference runs faster than real time and the model can run locally on a MacBook Pro M4 Max or better.
The demonstrations focus on how the model controls conversational timing and vocal expression, including laughing while the other person is speaking, raising its volume when asked, and completing an unfinished sentence. According to the company, the featured clips are live recordings of people speaking with Dessa, with no human steering of the model and subtitles added afterward. A separate demonstration pairs Dessa with the third-party model GPT-Live-1, with both voices generated by AI. GPT-Live-1’s developer is not affiliated with Block and has neither reviewed nor endorsed Dessa. Block is providing early access to a small group of AI safety researchers to identify risks the team has not anticipated.
