AI Coding Live News

OpenAI Codex CLI 0.167.0: Agent Command Center with Unread Marks, Backend Switching that Keeps Drafts, Vertex AI Setup Wizard

On 2026-11-06 OpenAI shipped Codex CLI 0.167.0 on GitHub and the ChatGPT/Codex changelog. Open the agent command center with codex agents --no-daemon (unread results marked); switch connected backends in the terminal session picker while keeping drafts; preview local images; expand patches during approval prompts; optionally enable a Google Cloud Vertex AI setup wizard.

Key Takeaways

  • Official: GitHub rust-v0.167.0 (2026-11-06T01:40Z) and same-day ChatGPT/Codex changelog entry
  • Command center: codex agents --no-daemon; unread results marked in the center and session picker
  • Multi-backend: switch connected backends from the terminal session picker while keeping drafts
  • UX: local image previews in supported terminals; expand patch details while an approval prompt is open; network approval prompts close when requests end and serialize per endpoint
  • Auth: enable gcp_setup_wizard for Vertex AI under Sign in another way (ADC or credential file); opt into macOS/Windows system proxies from /experimental
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DigitalOcean Launches Cuttlefish: iPhone App to Approve, Steer, and Pause Managed Agents

On 2026-11-05 DigitalOcean launched Cuttlefish, a native iPhone app for Managed Agents (Public Preview): follow live sessions and tool calls, approve or deny full commands or diffs, require Face ID/passcode for high-risk actions, and steer, pause, checkpoint, or roll back. Sessions run in cloud microVMs that keep going when the phone is locked or offline. With Box as launch partner, Box Mount (Private Preview) syncs a Box folder into the agent sandbox under Box permissions and version history.

DigitalOcean Launches Cuttlefish: iPhone App to Approve, Steer, and Pause Managed Agents

Key Takeaways

  • Official: @digitalocean post 2026-11-05 14:11 UTC; blog introducing-cuttlefish; App Store, Public Preview
  • Live sessions/reasoning/tool calls; approve full command, path, or diff; Face ID/passcode for high-risk; steer, pause, resume, stop
  • In-app previews of sites/docs; browse workspace files; checkpoints with fork/rollback
  • Supervises harnesses including Claude Code, Codex CLI, OpenCode, OpenHands, Hermes, LangGraph, CrewAI
  • Box Mount (Private Preview): sync a Box folder into the sandbox; edits/deletes write back with Box permissions and version history
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World Labs Ships Frameboy: Optimized Atlas Streams at up to ~15 fps for Real-Time Browser World Exploration

On 2026-11-05 World Labs released research preview Frameboy: a highly optimized Atlas variant streamed from cloud GPUs to the browser at up to ~15 fps (vendor claim) with live camera control. A public demo and a Viewfinder closed-beta overlay shipped together; CEO Fei-Fei Li amplified “Real time Atlas” on X.

World Labs Ships Frameboy: Optimized Atlas Streams at up to ~15 fps for Real-Time Browser World Exploration

Key Takeaways

  • Official: World Labs shipped Frameboy research preview on 2026-11-05 (blog + X)
  • Vendor claim: optimized Atlas streams from cloud GPUs at up to ~15 fps with live camera control
  • Public demo: frameboy.worldlabs.ai; Viewfinder closed beta builds scenes then overlays live explore
  • Capabilities: single-image/text scene seeding + multiview novel-view synthesis; RTFM form factor at Atlas scale
  • Vendor notes powerful cloud GPUs required and cost vs local rendering; no independent quality/latency board
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Linked Models & Agents:
⚡ Atlas⚡ RTFM🌐 World Labs

Perplexity Launches Teammates: Persistent Work Agents on Computer with Slack, Research Preview for Max on Web

On November 5 Perplexity (@perplexity_ai) and CEO Aravind Srinivas (@AravSrinivas) launched Teammates: persistent personal agents on Computer that own ongoing responsibilities, inherit Projects, Skills, Memory and tool permissions, run in isolated desktops and browsers, collaborate with other teammates, and proactively monitor Slack. Official help docs call it a research preview for individual Max subscribers on the web; Enterprise Pro/Max are not included by default; native mobile and desktop apps are coming later.

Perplexity Launches Teammates: Persistent Work Agents on Computer with Slack, Research Preview for Max on Web

Key Takeaways

  • Shift from one-shot prompts to high-level goals; a teammate keeps its role until you reassign it (vendor/CEO)
  • Multi-agent orchestration, isolated desktop/browser, proactive monitoring of Slack/GitHub/Linear connectors
  • Individual Max (~$200/mo, ~10k Computer credits/mo) web research preview; Enterprise not included by default (help center)
  • Internal adoption: CEO says ~10k teammates in 30 days (~20x headcount) with ~1k active yesterday (personal claim, not an audit)
  • Setup on web: assign role and escalation, take over the desktop, or redirect; shared chats are read-only for others
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Meta Rolls Out Muse Realtime Avatar in the US Muse App: Speech-Driven Expression and Gesture at ~870ms First-Byte Latency

On November 5 Meta AI (@AIatMeta) said Muse Realtime Avatar, previewed at Connect, is rolling out in the US Muse app, turning Muse Realtime Voice into interactive live avatars. The research blog describes an audio-driven Diffusion Transformer that shares the speech-token stream with voice for lip-sync and expression; a single GB200 session streams 448×768 at 25 fps with about 870 ms from end of user turn to first synchronized audio-video byte, with Meta Video Seal invisible watermarking. Muse is for users 18+; no global schedule or developer API was announced.

Meta Rolls Out Muse Realtime Avatar in the US Muse App: Speech-Driven Expression and Gesture at ~870ms First-Byte Latency

Key Takeaways

  • US Muse app rollout of Realtime Avatar after the Connect preview (@AIatMeta)
  • Shared speech VQ tokens drive audio decode and avatar video; causal chunks with self-forcing distillation cut ~120 teacher NFEs to 2 student NFEs (~60x)
  • Vendor perf: 448×768@25fps, ~870ms first-byte latency; ~8x serving capacity vs BF16 baseline, up to 12 concurrent sessions on one GB200
  • Vendor preference study favored Muse over Runway Characters and HeyGen LiveAvatar on overall and most axes
  • Safety: Video Seal invisible watermark; blog demos are not the full in-app avatar set; no public developer API stated
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Linked Models & Agents:
⚡ Muse Spark⚡ Muse Presence🤖 Muse🌐 Meta

Mistral Studio Adds Managed Agents and Apps: Durable Background Agents, Natural-Language Workflow Builder, HTTP Connectors and Online Evals

On November 5 Mistral expanded Mistral Studio. Managed Agents, built with the Agents SDK (mistralai-agents), run the same code in-process, self-hosted (agents serve) or Mistral-managed (agents deploy), with durable execution for hours or days, crash resume and human approvals. Mistral also shipped a Vibe-powered workflow builder, the mistral apps CLI, HTTP API connectors, webhooks and triggers, a managed search index, and offline and online evaluations, mostly in Public Preview.

Mistral Studio Adds Managed Agents and Apps: Durable Background Agents, Natural-Language Workflow Builder, HTTP Connectors and Online Evals

Key Takeaways

  • One agent codebase, three run modes: in-process, self-hosted agents serve, or managed agents deploy
  • Durable background execution for hours or days, resuming from the last finished step; Mistral stores sessions
  • Connectors now speak HTTP APIs with no MCP server needed; webhooks and triggers start workflows or agents
  • Managed agents emit agent, model and tool spans by default, and traces can become eval datasets in one click
  • Observability and evaluations are Enterprise-tier; most new features are Public Preview (vendor statement)
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Gemini API Computer Use Tool Goes GA: Browser, Mobile and Desktop Agents Production-Ready, No Breaking Changes from Preview

The Gemini API changelog shows the Computer Use tool reached general availability on October 30 across both the Interactions and GenerateContent APIs; @GoogleAIStudio announced on November 4 that there are no breaking changes from preview and it is production-ready for browser, mobile and desktop control agents. Official docs list supported models: Gemini 4 Argon, the recommended Gemini 3.8 Flash, Gemini 3.5 Flash-Lite and Gemini 3 Flash Preview. Actions carry an intent field, responses may include a safety_decision requiring user confirmation, and opt-in screenshot prompt-injection detection is available.

Key Takeaways

  • Computer Use is GA on both the Interactions and GenerateContent APIs as of October 30
  • Google says there are no breaking changes from preview, so existing code carries over
  • Three environments: browser, mobile and desktop; Gemini 3.8 Flash is the recommended model
  • Every action includes an intent field; safety_decision can require user confirmation or block
  • Opt-in screenshot prompt-injection detection (Gemini 3.5 Flash-Lite and later, off by default)
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GitHub Copilot Comes to Xcode's Built-In Coding Assistant in Public Preview With Xcode 27.3 Beta, Supported on All Copilot Plans

GitHub's official changelog says Copilot now works directly in Xcode's built-in coding assistant, in public preview starting with Xcode 27.3 beta. It needs macOS Tahoe 26.6 or later, is set up under Xcode > Settings > Intelligence, and supports all Copilot plans; the existing Copilot for Xcode extension stays available.

Key Takeaways

  • Copilot joins Xcode's native coding assistant in public preview, starting with Xcode 27.3 beta
  • Requires macOS Tahoe 26.6 or later
  • Set it up under Xcode > Settings > Intelligence; all Copilot plans are supported
  • The existing GitHub Copilot for Xcode extension remains a separate option
  • Apple's Xcode 27.3 beta 1 release notes list it under Coding Intelligence
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Ricursive Open-Sources Ripple-65B Preview: A 65B Dense Model Pretrained From Scratch, TerminalBench 2.1 80.5, Apache 2.0

Ricursive Intelligence released its first model, Ripple-65B Preview, on November 4 (18:24 UTC), open-sourcing the instruction-tuned model (BF16 and NVFP4) and a base model on Hugging Face under Apache 2.0. The official model card describes a 65B dense Transformer pretrained on 12T tokens with up to 1M context, and self-reports TerminalBench 2.1 80.5, SWE-bench Pro v2.0 Hard 79.1 and DeepSWE 1.1 44.3, ahead of much larger US open-weight models on agentic coding. It fits on local hardware such as the DGX Spark. CEO Anna Goldie says it cost about a tenth of the prior comparable state of the art.

Ricursive Open-Sources Ripple-65B Preview: A 65B Dense Model Pretrained From Scratch, TerminalBench 2.1 80.5, Apache 2.0

Key Takeaways

  • Ripple-65B Preview is a 65B dense model with a thin-and-deep shape (80 layers, d_model 5120), moving from an Olmo 3 baseline to a Gemma 3N-like architecture.
  • It was pretrained on 12T tokens at 8K sequence length, then went through mid-training, long-context training, SFT and mixed-domain RL, with up to 1M context.
  • Self-reported TerminalBench 2.1 is 80.5, above Reflection Beam 501B (80.1) and Muse Spark Open 816B (76.4), but SWE-bench Verified 76.5 and DeepSWE 1.1 44.3 show it does not lead everywhere.
  • Ricursive says the core team grew from one to five people and code compute efficiency improved 16x versus the Olmo 3 ladder; it reaches about 250 tok/s on 2x B200.
  • Hugging Face hosts BF16, NVFP4, base and DFlash2 speculative-decoding checkpoints, all under Apache 2.0.
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Linked Models & Agents:
⚡ Ripple-65B Preview⚡ Reflection Beam 501B⚡ Muse Spark Open⚡ Nemotron 3 Ultra🌐 Ricursive Intelligence🌐 NVIDIA

Epic Says Unreal Engine 6 Will Remove Blueprints, Actors and the C++ Gameplay Framework, Going All-In on Verse With MCP and Python for AI-Assisted Development

At the Unreal Fest Tokyo 2026 keynote on November 3, Epic CEO Tim Sweeney said Unreal Engine 6 (Early Access targeted around 2027) will remove Actors, Blueprints and the C++ Gameplay Framework outright. Gameplay moves to Verse with Scene Graph entities and components, AI integration runs through MCP and Python for any major model, Epic will not build or sell models, and AI-assisted tools will help convert Blueprints and C++ gameplay code to Verse. On X, Sweeney added that after UE6 Preview 1, UE5 will only get critical security and platform compatibility fixes.

Key Takeaways

  • UE6 Early Access targets roughly 2027; keynote slides marked Actors, Blueprints and the C++ Gameplay Framework as "Remove", not deprecated
  • Gameplay moves to Verse with Scene Graph entities and components; C++ stays only in engine internals such as rendering and physics
  • Four AI principles: open, developer-controlled, any major model via MCP and Python, and Epic neither builds nor sells models
  • Epic says AI already makes its teams 1.5x to 4x more productive in programming, debugging and level design (vendor claim); Fortnite is moving thousands of Blueprints to Verse
  • Sweeney on X: after UE6 Preview 1, UE5 gets only critical security and platform fixes; leading models saw little Verse in training, which "will change by January"
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Fireworks Forge Launches: Ultra-fast Inference Preview Hits 1,500 Tokens/s, Half-Price Background Mode, Nexus Desktop for Codex and Claude Desktop, Sovereign Private Preview

At its first Forge conference on November 3, open-model inference platform Fireworks launched a batch of products. Ultra-fast, powered by NVIDIA Blackwell, is in public preview at up to 1,500 tokens per second on DeepSeek V4.1 Flash, cutting a 30-turn agent task from 1 minute to 8 seconds. Background Mode runs deferrable work at half price, alongside multi-day prompt caching and higher rate limits. Nexus Desktop brings open-model routing into the Codex app, Claude Desktop and OpenCode, with Pro plans from $8 per month. Fireworks also announced No Eval, serverless LoRA inference, the Fireworks Sovereign private preview and a 60+ partner Frontier Ecosystem.

Fireworks Forge Launches: Ultra-fast Inference Preview Hits 1,500 Tokens/s, Half-Price Background Mode, Nexus Desktop for Codex and Claude Desktop, Sovereign Private Preview

Key Takeaways

  • Ultra-fast public preview: on NVIDIA Blackwell, up to 1,500 tokens per second on DeepSeek V4.1 Flash; in Fireworks' benchmark a 30-turn agent task fell from 1 minute to 8 seconds (Fireworks blog)
  • Cost options: Background Mode runs deferrable work at half price; multi-day prompt caching cuts the cost of resuming long context; higher serverless rate limits and Elastic Burst are generally available
  • Nexus Desktop launches: personalized routing across open and closed models inside the Codex app, Claude Desktop and OpenCode; Pro from $8 per month, Teams from $10 per seat per month
  • Training: No Eval (private preview) turns production traces into task evals; serverless LoRA inference (public preview) starts with GLM 5.3 Flash at per-token pricing with no idle charge; free training on Muse Glimmer 30B through November 30
  • Enterprise: Fireworks Sovereign (private preview) runs the inference engine in a customer's own cloud or data center; Fireworks says it already manages over 25,000 GPUs in customer environments; plus a 60+ partner Frontier Ecosystem
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Tencent Releases Hy4: First Hy Model With Vision and Computer Use, Live on Tencent Cloud and OpenRouter, Open Weights Planned

On November 4, Tencent Hy published Hy4 on its official site. Versus Augusts Hy4 preview, Tencent says it scaled up pre-training and post-training, added vision for the first time, added computer use across CLI and GUI, and trained specifically on Blender, CAD and engines like Unreal, Unity and Godot. Hy4 is live on Tencent Cloud and OpenRouter (tencent/hy4, 1M context) at the same API price as the preview. Weights and a system card are promised soon, and a cheaper Hy4 flash is coming.

Key Takeaways

  • Official blog: Introducing Hy4, dated 2026-11-04; the Tencent Hy transparency center also lists V1.0 Hy4
  • Two firsts: vision (fine-grained image detail, complex charts, math visual reasoning) and computer use (CLI plus GUI, with targeted training on Blender, CAD and long cross-app workflows)
  • Tencent's own evals: on 579 real finance tasks rated by 213 finance professionals Hy4 scores 3.04, first among open-weight models (DeepSeek-V4.1-Flash-1017 2.97, Kimi K3.1 Pro 2.68, GLM-5.3 2.68); GameDev +19.1%, GameLogic +9.8%; internal search hallucination rate 15.76% to 5.45%
  • Same API price as the preview: $0.042 cached input, $0.834 input, $2.501 output per million tokens; the OpenRouter page currently shows 50% off ($0.417/$1.251), 1,048,576 context and up to 65,536 output tokens
  • Weights are not out yet: Tencent says it will open-source them with a full system card, working with vLLM and SGLang; Hy4 flash is due soon
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Linked Models & Agents:
⚡ Hy4⚡ Hy4 preview⚡ Hy4 flash🤖 CodeBuddy🤖 WorkBuddy🌐 Tencent

Apple Opens Siri AI to All Developers: iOS 27.3 Betas Add a Developer Preview for App Intents and Multi-Step Skills

On November 3, Apple announced on its Developer site that a new Developer Preview in the iOS 27.3, iPadOS 27.3, macOS 27.3 and visionOS 27.3 betas lets any app bring its content and actions into Siri AI through App Intents, tapping personal context, onscreen awareness and natural language. Apple also introduced skills, which teach Siri AI to combine several actions into one experience, and Siri AI can now surface any entity in the Spotlight semantic index. It is a preview only: customer rollout is a few months away and App Store submissions open in spring. Siri AI remains unavailable in the EU on iOS, iPadOS and watchOS.

Apple Opens Siri AI to All Developers: iOS 27.3 Betas Add a Developer Preview for App Intents and Multi-Step Skills

Key Takeaways

  • Covers four platform betas: iOS 27.3, iPadOS 27.3, macOS 27.3 and visionOS 27.3 (Apple Developer news)
  • Any app can join Siri AI via App Intents; new skills combine several actions into one request, and Siri AI can surface any Spotlight semantic-index entity, not just ones that fit an existing schema
  • Apple has already rolled the capabilities into 15 of its own apps, including Calendar, Files, Finder, Mail, Maps, Messages, Notes, Photos, Safari, Shortcuts and Weather
  • Timeline: customers get it "in a few months," App Store submissions open in spring, and Apple Intelligence Group Labs run November 4-5
  • Limits: Siri AI is unavailable in the EU on iOS, iPadOS and watchOS and for users under 13; server-model features have daily usage limits, with paid expanded access promised later
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Epic Confirms Unreal Engine 5.9: Preview Next Week With Improved AI Workflows and Web Back as a Target Platform

On November 3, the official Unreal Engine account said UE 5.9 is happening, with a Preview build next week that includes improved AI workflows, web as a target platform, and rendering and animation updates; changes are already landing in the 5.9 branch on GitHub, with more details to come. This reverses Epic's June State of Unreal stance that 5.8 was the last planned major UE5 release, with 5.9 kept only as an option. UE 5.8 shipped the Experimental Unreal MCP plugin, which lets MCP clients such as Claude Code and Cursor drive the editor; the 5.9 AI workflow changes likely build on it, but Epic has not published a feature list yet.

Key Takeaways

  • Timing: the official post went out at 13:05 UTC on November 3 and says the 5.9 Preview arrives next week; the exact date and the final release date are not announced
  • Scope (per Epic): improved AI workflows, web as a target platform, and rendering and animation updates; changes are already landing in the 5.9 branch on GitHub
  • Context: in June, State of Unreal called 5.8 the last planned major UE5 release; UE6 targets Early Access at the end of 2027, with the full release 12 to 18 months later
  • AI groundwork: the Experimental Unreal MCP plugin in 5.8 embeds an MCP server in the editor at http://127.0.0.1:8000/mcp by default, loopback only and with no authentication
  • Reach: about 2,552 likes, 251 reposts, 114 quotes and 215K views at fetch time
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Meituan ships LongCat-2.5, a 1.6T-parameter (about 48B active) native multimodal agentic model, with API pricing of $0.30/$1.20 per 1M tokens

On Nov 2 Meituan's LongCat team listed LongCat-2.5 in its API platform change log as the full release of September 25's LongCat-2.5-Preview. The official technical blog says it has 1.6 trillion total parameters with about 48 billion activated per token, builds on LongCat-2.0 with stronger native visual understanding and agentic coding, and was trained and served with W4A4 inference on domestic AI accelerators. Vendor-reported scores include 88.4 on Terminal Bench v2.1, 38.5 on Terminal Bench v4.0, 91.9 on BrowseComp and 83.1 on MCP Atlas. The API speaks both OpenAI and Anthropic formats with a 1M-token context and up to 128K output tokens, at a limited-time price of $0.30 per 1M uncached input tokens, $0.006 cached input and $1.20 output.

Meituan ships LongCat-2.5, a 1.6T-parameter (about 48B active) native multimodal agentic model, with API pricing of $0.30/$1.20 per 1M tokens

Key Takeaways

  • Scale: a 1.6-trillion-parameter MoE with about 48B active per token, a 1M-token context and up to 128K output tokens (official blog, API docs)
  • Code agents (vendor-reported): Terminal Bench v2.1 88.4 (Claude Opus 5 89.1, GPT-5.6-Sol 88.8), Terminal Bench v4.0 38.5 (GPT-5.6-Sol 37.3, Claude Opus 5 53.9), DeepSWE v1.1 64.6
  • General agents (vendor-reported): BrowseComp 91.9, MCP Atlas 83.1, AutomationBench v1.0.6 51.8, HLE with tools 63.1; AutomationBench jumps from 15.8 on LongCat-2.0
  • Pricing: limited-time $0.30 per 1M uncached input tokens, $0.006 cached input and $1.20 output (pricing page)
  • Engineering: W4A4 inference raises prefill throughput 43.3% and decode throughput 42.77% over a W8A8 baseline; FSDP gives 86% higher per-device throughput than DDP in long-sequence SFT
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