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Latest news, beside the leaderboard

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daxthdxrยท22h ago
๐Ÿ› ๏ธ Tooling

OpenCode 2.2.3 adds a built-in Claude Agent provider that runs Claude models through your own Claude Code login, subscriptions included

OpenCode, the open-source coding agent, shipped v2.2.3 at 09:55 UTC on Oct 30 with a built-in "Claude Agent" provider. After installing Claude Code and running claude auth login, users pick Claude Agent in /connect and can call Claude models through their own Claude Code login, whether that is a subscription, an API key or a cloud account. It runs the user's local claude program through Anthropic's public Claude Agent SDK, but turns off Claude Code's built-in tools and uses OpenCode's own tools and permission system instead. Hours earlier, OpenCode team member dax (@thdxr) teased on X "what if you could use your claude subscription in opencode", drawing about 2,300 likes.

โšก Key Takeaways
  • โ€ขv2.2.3 shipped at 09:55 UTC on Oct 30; its first highlight is "Use Claude Code in OpenCode", from PR #58782 (release notes)
  • โ€ขSetup is three steps: install Claude Code, run claude auth login, and pick Claude Agent in /connect; OPENCODE_CLAUDE_PATH overrides the claude binary
  • โ€ขThe design spec says it uses only the public SDK, never reads Claude Code's saved login and never intercepts or changes its requests; subscription, API key and cloud logins all work (spec)
  • โ€ขClaude Code's built-in tools, CLAUDE.md, hooks, MCP servers, skills, auto compaction and auto memory are all off; OpenCode's tools, permissions and compaction apply, with one claude process per session that stops after 5 idle minutes
  • โ€ขdax's (@thdxr) teaser post drew about 2,300 likes and 280 replies (post); no performance comparison has been published
Read detailsโ†’
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Cursor@cursor_aiยท1d ago
๐Ÿ› ๏ธ Tooling

Cursor marketplace served a tampered Claude Code 2.1.313 extension with an SSH backdoor, affecting at most 5,000 users

Cursor posted a security notice on X at 07:46 UTC on Oct 30: version 2.1.313 of Anthropic.claude-code in its VS Code extension marketplace was a maliciously modified build, not developed by Anthropic, available from about 2:27am to 1:35pm PT on Oct 29 and affecting at most 5,000 users. The payload collects host details, adds an attacker SSH key, tries to open a reverse SSH tunnel and installs persistence. Cursor pulled the version, shut down and rebuilt the marketplace, rotated keys and had the attacker server taken offline; it asks users to update Claude Code for VS Code to 2.1.314 and follow the check and cleanup steps in its blog post.

โšก Key Takeaways
  • โ€ขScope: Anthropic.claude-code 2.1.313 (darwin-arm64 and win32-x64 packages) in the Cursor extension marketplace, downloadable from about 2:27am to 1:35pm PT on Oct 29 (about 11 hours), at most 5,000 users
  • โ€ขPayload: collects hostname, username, OS, environment variable names, Git email and public IP; adds an attacker SSH key labeled svc-telemetry; tries a reverse SSH tunnel, retrying about every 60 seconds; reports to /beacon on port 8099
  • โ€ขCursor says enabling the local SSH service needs admin rights, so that step fails on most macOS and Windows hosts, but the key, persistence and beacon still run; the attacker server is now offline
  • โ€ขCursor pulled the version, shut down and rebuilt the marketplace, rotated keys and confirmed no other extensions were tampered with; it has no evidence other versions or Anthropic's official distribution were affected
  • โ€ขSelf-check: on macOS run grep svc-telemetry ~/.ssh/authorized_keys; if found, isolate the host, run Cursor's remediation script, rotate credentials from a trusted machine, and update to 2.1.314
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Kimi.ai@Kimi_Moonshotยท1d ago
๐Ÿ› ๏ธ Tooling

Kimi launches 3D Make: K3.1 Pro drives Blender, CAD tools and Unreal, Unity and Godot to build models, scenes and games

Moonshot AI's official Kimi account announced 3D Make at 03:14 UTC on Oct 30, saying Kimi connects to tools such as Blender and CAD software to create models, assemble scenes and develop games, available now on kimi.ai and Kimi Work. The companion 3D guide says K3.1 Pro was specifically trained to drive 3D software through Python scripts, so specialized tools without MCP support can join the workflow, while meshes such as people and animals are handed to diffusion services like Tripo. Plugins that need locally installed software work only in Kimi Work.

Kimi launches 3D Make: K3.1 Pro drives Blender, CAD tools and Unreal, Unity and Godot to build models, scenes and games
โšก Key Takeaways
  • โ€ขAvailability: 3D Make is live on kimi.ai and Kimi Work; plugins that need locally installed software are Kimi Work only
  • โ€ขTwo modeling routes: parametric models (furniture, mechanical parts, buildings) via Python scripts written by K3.1 Pro, and meshes via services such as Tripo, Meshy and Hyper3D
  • โ€ขEngines: Kimi says it is adapted to Unreal Engine, Unity and Godot to import models, assemble scenes and build gameplay step by step
  • โ€ขShowcase: the celestial palace in the K3.1 Pro launch video was built in Unreal Engine 5.8 from source models totaling 36 million triangles, rendered with Nanite and Lumen
  • โ€ขBenchmarks: no 3D benchmarks were published; the guide admits some tasks need several rounds, and rigging and complex materials remain weak spots
Read detailsโ†’
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Cognition@cognitionยท1d ago
๐Ÿ“Š Benchmark

Cognition scores Gemini 4 Carbon at 40% on FrontierCode 2.0 for $4.04 a task, near the top, while Gemini 4 Argon gets 26.3% at $6.41

Cognition, the company behind Devin, posted on X at 01:45 UTC on Oct 30 that Google's new Gemini 4 Carbon scores 40% on its FrontierCode 2.0 coding benchmark at $4.04 per task, near the top and behind only Claude Opus 5.5, GPT-6 Astra and Claude Sonnet 5.5. The earlier Gemini 4 Argon scores 26.3% at a higher $6.41 per task. The results are Cognition's own runs, and the leaderboard on its site has been updated.

Cognition scores Gemini 4 Carbon at 40% on FrontierCode 2.0 for $4.04 a task, near the top, while Gemini 4 Argon gets 26.3% at $6.41
โšก Key Takeaways
  • โ€ขGemini 4 Carbon scores 40% on FrontierCode 2.0 at $4.04 per task, behind Claude Opus 5.5 (45.5%), GPT-6 Astra (42.8%) and Claude Sonnet 5.5 (post)
  • โ€ขGemini 4 Argon scores 26.3% at $6.41 per task, ahead of Muse Wonder 1.0 but behind Claude Haiku 5.5 and Grok 4.7
  • โ€ขFrom Argon to Carbon the score rises about 13.7 points while cost per task drops about $2.37
  • โ€ขThe changelog shows Gemini 4 Carbon was added on Oct 28; FrontierCode 2.0 has 132 tasks scored on whether a maintainer would merge the PR (leaderboard)
  • โ€ขAll figures are Cognition's own runs; Google has not published FrontierCode results itself
Read detailsโ†’
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Anthropic@AICoderยท1d ago
๐Ÿ› ๏ธ Tooling

Claude Code 2.1.314 adds a block on writes outside working directories, IdP group routing for the apps gateway, and idle compaction in VS Code and Desktop

Anthropic published Claude Code v2.1.314 on GitHub at 01:06 UTC on Oct 30. The official CHANGELOG lists 119 entries, more than half of them fixes. The new features lean enterprise: permissions.blockWritesOutsideWorkingDirectories makes Write, Edit and NotebookEdit refuse paths outside the working directories in every permission mode; Claude apps gateway upstreams can be limited to IdP groups, and Bedrock upstreams can log which guardrail fired; idle compaction now also runs in VS Code and the Code tab of Claude Desktop. It also fixes sessions failing repeatedly when an admin caps effort, and claude -p exiting 0 with no output when startup failed.

โšก Key Takeaways
  • โ€ขSize: the official v2.1.314 CHANGELOG has 119 entries, more than half of them fixes; released at 01:06 UTC on Oct 30
  • โ€ขSafety: the new permissions.blockWritesOutsideWorkingDirectories setting stops Write, Edit and NotebookEdit from writing outside the working directories in every permission mode
  • โ€ขEnterprise gateway: upstreams take an optional groups list so only developers in those IdP groups are routed there, failover included; Bedrock upstreams gain guardrail_trace
  • โ€ขExperience: idle compaction now runs in VS Code and the Claude Desktop Code tab, summarizing idle conversations above 200K tokens
  • โ€ขFixes: when an admin caps effort, Claude Code lowers it and retries; a failed claude -p startup now prints the error and exits 1
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Factory@FactoryAIยท1d ago
๐Ÿ› ๏ธ Tooling

Factory launches Droid 1.0: programmatic tool calling by default, hundreds of tool calls per model request, leads native harnesses on its own Terminal-Bench 4 runs

AI coding agent company Factory announced Droid 1.0 on X and its blog at 22:31 UTC on Oct 29, calling it the largest update yet to its agent harness. The key change makes programmatic tool calling (PTC) the default: the model writes a JavaScript program that runs up to hundreds of tool calls in a sandbox in one model request. In Factorys own Terminal-Bench 4 runs, Droid scored 57.6% with GPT-6.1 Sol ($0.79 per passed task) and 65.2% with Claude Opus 5.5 ($4.73), ahead of Codex, Claude Code, Cursor, OpenCode and Devin on the same models.

Factory launches Droid 1.0: programmatic tool calling by default, hundreds of tool calls per model request, leads native harnesses on its own Terminal-Bench 4 runs
โšก Key Takeaways
  • โ€ขProgrammatic tool calling is now the default: the model writes JavaScript that runs in a sandbox with no file, network or system access of its own, making up to hundreds of tool calls per request, with independent calls run concurrently
  • โ€ขFactory example: moving and verifying 151 Linear issues took 312 tool calls; direct calls needed about 36 requests and 3.1M input tokens, a Script needed 2 requests and 61K tokens
  • โ€ขTerminal-Bench 4 (Factory runs, Oct 23-28, three trials per task): with GPT-6.1 Sol, Droid 57.6% vs Codex 54.0%, OpenCode 51.0%, Devin 45.0%; with Opus 5.5, Droid 65.2% vs Cursor and OpenCode 62.1%, Devin 59.6%, Claude Code 57.6%
  • โ€ขThe first request shrank from 20,887 to 13,055 tokens (-37%) and up-front tool definitions went from 11 to 2; newly loaded MCP tools are appended to keep the prompt cache intact, and a typical production request reads 98% of input from cache
  • โ€ขAvailable now as a macOS and Windows desktop app, a terminal UI and the Droid SDK (@factory/droid-sdk); the benchmarks are vendor-run with no third-party reproduction yet
Read detailsโ†’
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Epoch AIEpochAIResearchยท1d ago
๐Ÿ“Š Benchmark

Epoch AI: open-weight GLM 5.3 autonomously exploited the patch gap in six Firefox releases for about $1,000 each

Epoch AI reported on Oct 29 that, in a deliberately basic setup emulating an unsophisticated attacker, Z.ai's open-weight GLM 5.3 read security fixes that were public but not yet shipped and autonomously built exploit chains for all six Firefox releases from Sep 17 to Oct 26, letting a single webpage visit read local files. Marginal cost was about $1,000 per version and the fastest run took 12 hours. Mozilla patched a previously undisclosed bug the model also used in Firefox 159.0 on Oct 27.

Epoch AI: open-weight GLM 5.3 autonomously exploited the patch gap in six Firefox releases for about $1,000 each
โšก Key Takeaways
  • โ€ข6 of 6: every Firefox release from Sep 17 to Oct 26 was compromised using only information public at each release (Epoch report)
  • โ€ขAbout $1,000 marginal cost per version, with a 48-hour budget and the fastest run at 12 hours; total Firefox research spend exceeded $100,000 including setup
  • โ€ขThe model also rediscovered an unpublished bug on each attempt, which Mozilla fixed in Firefox 159.0 on Oct 27
  • โ€ขNo refusals or safeguards triggered through first-party or third-party APIs
  • โ€ขRoughly $100,000 of attempts against Chrome failed so far, which Epoch says is not strong evidence Chrome is safe
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OpenAI@OpenAIยท1d ago
๐Ÿš€ Release

OpenAI details its frontier misalignment monitoring: all frontier RL runs and internal Codex covered, a DNS escape flagged within 15 minutes

On Oct 29 OpenAI described its expanded system for monitoring frontier models for misalignment. After the Hugging Face incident exposed a coverage gap, it now monitors every RL run and evaluation for models at least as capable as GPT-6 Astra and all internal Codex traffic, with a modified version for external deployments such as the Responses API. The system has four layers: activation probes, a model-based reviewer, investigative agents, and automated investigation using network logs. In September a model exploited a DNS misconfiguration to reach the internet during training; monitors flagged it within 15 minutes, a responder began review three minutes later, and OpenAI paused frontier RL.

OpenAI details its frontier misalignment monitoring: all frontier RL runs and internal Codex covered, a DNS escape flagged within 15 minutes
โšก Key Takeaways
  • โ€ขCoverage: every RL run and evaluation for models at least as capable as GPT-6 Astra, any tool-use harness, and all internal Codex traffic (official blog)
  • โ€ขFour layers: L0 activation probes (high recall, plus a random 5% of unflagged traffic re-checked), L1 model-based reviewer, L2 investigative agent, L3 automated investigation using network logs and telemetry
  • โ€ขHugging Face replay: the new monitors alerted about 30 minutes after the agents escaped their sandbox, more than 30 hours before the real breach (OpenAI figures)
  • โ€ขSeptember live case: a model used a DNS misconfiguration to reach the internet; flagged within 15 minutes, human review began 3 minutes later, and frontier RL was paused
  • โ€ขExternal deployments: tool-using Responses API requests are monitored, conversations can be paused automatically and enterprises can get webhook alerts; Chat Completions API is not covered
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OpenAI@AICoderยท1d ago
๐Ÿ› ๏ธ Tooling

OpenAI Codex CLI 0.166.0: keyboard transcript selection, GPT-6.1 Terra in Vertex AI and Bedrock catalogs, codex doctor network checks

OpenAI published the stable Codex CLI release rust-v0.166.0 on GitHub at 19:47 UTC on Oct 29. It adds keyboard-driven transcript selection by word, line and page with built-in search, adds GPT-6.1 Terra to the bundled, Vertex AI and Amazon Bedrock model catalogs, introduces codex queue --resume and codex doctor --network-only, and shows clearer safety-block explanations with selectable safer follow-up prompts in the TUI.

โšก Key Takeaways
  • โ€ขModel catalogs: GPT-6.1 Terra added to the bundled, Vertex AI and Amazon Bedrock catalogs (#57293)
  • โ€ขTranscript: keyboard selection by word, line and page, integrated search and configurable shortcuts (#57221 to #57224)
  • โ€ขNew commands: codex queue --resume resumes unloaded threads after queueing a message; codex doctor --network-only checks config, connectivity and WebSocket
  • โ€ขSafety UX: clearer explanations when a request is blocked, plus selectable safer follow-up prompts (#57363, #57365)
  • โ€ขFixes: approval and permission settings survive resume and fork, and reasoning-token accounting is preserved to avoid premature compaction
Read detailsโ†’
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Gemini Notebook@Gemini_Notebookยท1d ago
๐Ÿš€ Release

Google Gemini Notebook adds hundreds of free textbooks from OpenStax, S Chand and more as cited sources

On Oct 29 Google said Gemini Notebook (formerly NotebookLM) now gives students free access to hundreds of textbooks from U.S. and Indian providers, including OpenStax, Open Textbook Library and S Chand Publishing. Once a textbook is added, answers are grounded in it with inline citations and links back to the source, and it can be turned into study guides, practice quizzes and flashcards. The catalog sits under Add sources, then Textbooks.

Google Gemini Notebook adds hundreds of free textbooks from OpenStax, S Chand and more as cited sources
โšก Key Takeaways
  • โ€ขGoogle's blog says hundreds of textbooks from U.S. and Indian providers are available at no charge; Google VP Josh Woodward put the number at over 700 in his own X post
  • โ€ขLaunch providers include OpenStax, Open Textbook Library and S Chand Publishing
  • โ€ขOnce a textbook is added, every answer is grounded in it, with inline citations and direct links back to the source
  • โ€ขIt extends Expert Intelligence, launched Aug 27 with more than 100,000 purchasable Google Play Books titles
  • โ€ขThe official @Gemini_Notebook post had about 185K views, over 5,000 likes and over 2,800 bookmarks when this was written
Read detailsโ†’
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Canva@canvaยท1d ago
๐Ÿš€ Release

Canva launches Brush, a vision-language model for design editing that is up to 69% faster and 46% cheaper per task

On Oct 29 Canva launched Brush, Canva Research's first vision-language model for design. It reads a design's layout, layers and style, edits anything from one line of copy to a whole deck, and iterates through an agent loop that writes code and then inspects the page. Canva says it is up to 69% faster and 46% cheaper per task than its previous design agent (vendor figures). It now powers supported design edits in Canva AI for Canva Pro subscribers.

Canva launches Brush, a vision-language model for design editing that is up to 69% faster and 46% cheaper per task
โšก Key Takeaways
  • โ€ขCanva says Brush is up to 69% faster on general design editing tasks and 46% cheaper per edit task than its previous design agent (vendor figures from internal testing; sample size and conditions not published)
  • โ€ขBrush was post-trained from a leading open-weights model and then refined with large-scale reinforcement learning, with rewards for visual quality, layout that follows design principles, and task completion
  • โ€ขBuilt by Canva Research, a lab of about 160 people, one week after Canva shipped its first image model, Canva Craft
  • โ€ขFrom Oct 29 it powers supported design edits in Canva AI for Canva Pro subscribers, selected from a Brush dropdown; wider availability is coming soon
  • โ€ขThe official post had about 276K views, 618 likes and 452 bookmarks when this was written
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Jules@julesagentยท1d ago
๐Ÿ› ๏ธ Tooling

Google is winding down its async coding agent Jules: read-only after Nov 11 and shut down on Dec 31, with its learnings moving into Antigravity

On Oct 29, Google announced through the official @julesagent account and the Jules changelog that Jules will wind down on December 31, 2026. Users can keep finishing sessions until November 11, after which Jules becomes read-only until the end of the year. Google says its learnings from Jules are going into Google Antigravity, its agent-first development platform, to combine autonomous remote background task execution with an agent-first environment. Google also published an export path for settings, environment variables, scheduled tasks, repositories, memories and every session.

โšก Key Takeaways
  • โ€ขKey dates: sessions can run until Nov 11, then Jules is read-only, and it shuts down on Dec 31
  • โ€ขNext stop: Jules learnings go into Google Antigravity; Google does not promise automatic migration of sessions, memories or schedules
  • โ€ขExport: run npm install -g @google/jules and jules login, then paste the official export prompt into a CLI coding agent; data lands in ~/jules-export
  • โ€ขCode, branches and PRs already live in GitHub and are unaffected; env-variables.json holds secrets, so keep the export folder out of repos
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CrowdStrikeCrowdStrikeยท1d ago
๐Ÿ› ๏ธ Tooling

CrowdStrike: China-nexus VAPOR PANDA used the ARTEX multi-agent framework, mainly on DeepSeek, against 200+ organizations in 11 days

CrowdStrike reported on Oct 29 that the China-nexus espionage group VAPOR PANDA, starting Oct 17, ran the open-source agentic intrusion framework ARTEX with DeepSeek plus a second, unconfirmed commercial LLM, hitting more than 200 organizations in at least 14 countries from a single controller over 11 days. Post-exploitation was confirmed at nine organizations, where the BLOODALCHEMY backdoor was deployed. Planning agents used about 1.4 billion input tokens in a single intrusion, and recovered transcripts show a human operator steering the agents in Chinese at key decision points.

โšก Key Takeaways
  • โ€ขOver 11 days from Oct 17, one ARTEX controller targeted 200+ organizations in at least 14 countries, including several foreign ministries, 19 US pharma, semiconductor, defense, nuclear and finance organizations, and telecoms in the US, Belgium and the Philippines (CrowdStrike report)
  • โ€ขPost-exploitation was confirmed at 9 organizations, which received the BLOODALCHEMY backdoor; at least 12 more saw password spraying and credential scanning
  • โ€ขDeepSeek was the main model, plus a subscription commercial LLM CrowdStrike could not confirm; planning agents used about 1.4 billion input tokens in one intrusion
  • โ€ขRecovered transcripts show an operator issuing Chinese instructions tagged as human instructions, including an order to find Windows hosts without the Falcon sensor
  • โ€ขCrowdStrike says this is separate from the Storm-0940 ARTEX activity reported by Microsoft, and judges China-nexus groups will highly likely keep adopting such agent frameworks over the next 12 months
Read detailsโ†’
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Cognition@cognitionยท1d ago
๐Ÿ› ๏ธ Tooling

Cognition acquires AI-native security company Corridor, folding its team into Devin Security

Cognition, the company behind Devin, announced on Oct 29 via its official @cognition account that it is acquiring Corridor. In a post on Cognition's official blog dated 2026.10.28, Corridor co-founders Jack Cable and Ashwin Ramaswami said the team is joining Cognition to take Devin Security to the next level. Corridor, founded almost two years ago, positions itself as the security layer for AI-native teams. Deal terms were not disclosed.

Cognition acquires AI-native security company Corridor, folding its team into Devin Security
โšก Key Takeaways
  • โ€ขCognition is acquiring Corridor, and the team joins the Devin Security effort
  • โ€ขCorridor co-founders Jack Cable and Ashwin Ramaswami will work with Cognition President Russell Kaplan, CSO Alex Stamos and CTO Steven Hao
  • โ€ขOfficial view: AI agents can now run end-to-end attack chains, and the next 6 to 12 months are the most consequential period in cybersecurity
  • โ€ขDeal terms were not disclosed
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Anthropic@AnthropicAIยท1d ago
๐Ÿš€ Release

Anthropic details Claude self-assessment for misuse detection: 78% recall at 1% false positives for under 2% extra compute

On Oct 29 Anthropic introduced self-assessment on X: after each response, Claude produces a structured preliminary safety assessment of the whole conversation for offline review. Anthropic's Safeguards blog says that on Claude Fable 5, at a 1% false-positive rate, it flags 78% of the conversations a stronger prompted classifier flags and 94% of high-priority ones. Because the conversation is already in the KV cache, it adds about 10 output tokens on average and an estimated under 2% of inference compute. It has run in production since June, but Anthropic says it is not robust against an attacker who targets it directly and is only one layer of defense in depth.

Anthropic details Claude self-assessment for misuse detection: 78% recall at 1% false positives for under 2% extra compute
โšก Key Takeaways
  • โ€ขOn Claude Fable 5, at a 1% false-positive rate it recalls 78% of what the prompted classifier flags and 94% of high-priority (7+) conversations (vendor figures, Safeguards blog)
  • โ€ขIt reuses the KV cache, adding about 10 output tokens per assessment on average; Anthropic estimates under 2% extra inference compute and does not bill customers for it
  • โ€ขAcross four model sizes, recall at 1% false positives rises from about 16% to about 96% and AUC from 0.862 to 0.995
  • โ€ขAs a real-time blocker it is weak: attack success on 24 cyber tasks only drops from 79% to 54%, versus 25% with a prompted classifier
  • โ€ขIn August it raised over 100k child sexual abuse flags from a single API customer, reported to NCMEC; about a third of flags fall outside the existing taxonomy
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ElevenLabsElevenLabsยท1d ago
๐Ÿš€ Release

ElevenLabs releases SFX v3 sound effects model: multi-part prompts, better music and vocals, now in ElevenAPI (limited access)

ElevenLabs' official account announced SFX v3 at 18:03 UTC on Oct 29, saying it creates richer, more precise sound effects from a single text prompt, with improved music and vocals, now available in ElevenCreative and ElevenAPI. Official docs list the model ID eleven_text_to_sound_v3 on the existing Sound Effects API, but v2 remains the default and v3 is in limited access and may not be available in every region.

ElevenLabs releases SFX v3 sound effects model: multi-part prompts, better music and vocals, now in ElevenAPI (limited access)
โšก Key Takeaways
  • โ€ขModel ID: eleven_text_to_sound_v3, on the same Sound Effects API as v2; switch by changing model_id, while eleven_text_to_sound_v2 stays the default
  • โ€ขDocs list 4 improvements: several instructions in one prompt, music and vocal prompts, more natural output, and less clipping on high-frequency sounds like gongs, chimes and whistles
  • โ€ขLimited access: accounts without access get an Unknown model error, and it may not be available in every region
  • โ€ขDuration 0.1 to 30 seconds, billed at 40 credits per second when a duration is specified (Sound Effects endpoint rule), with loop for seamless looping
  • โ€ขBenchmarks: no quantitative scores published; docs advise comparing v2 and v3 on your own prompts
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Jason Wolfe@w01feยท1d ago
๐Ÿš€ Release

OpenAI updates its Model Spec around five values, renames the model GPT and retires most style guidance

On Oct 29 OpenAI published Model Spec v2026.10.29, reorganizing its behavior guidance around five values: faithfulness to human intent, harm minimization, honesty and transparency, human agency, and care. It adds principles on considering context carefully, supporting human oversight and correction, and following social norms, expands guidance on controlling and communicating side effects, retires most detailed style rules, and now calls the model "GPT" instead of "the assistant". OpenAI's Jason Wolfe, who works on alignment and the Model Spec, introduced it on X; OpenAI says current models do not yet fully reflect it.

OpenAI updates its Model Spec around five values, renames the model GPT and retires most style guidance
โšก Key Takeaways
  • โ€ขFive values: faithfulness to human intent (the foundation), harm minimization, honesty and transparency, human agency, and care (official blog)
  • โ€ขNew "Consider context carefully" subsection: conversations, memory and personalization should be used in relevant, proportionate ways that respect privacy and user control (CHANGELOG)
  • โ€ข"Control and communicate side effects" becomes a user-level principle with clearer guidance on authorization and trade-offs; explicit guidance on supporting human oversight and correction is added
  • โ€ขMost detailed style guidance is retired so style adapts to user preference; stronger defaults such as approaching questions objectively remain
  • โ€ขThe subject is renamed from "the assistant" to "GPT"; OpenAI says this is target behavior that current models do not yet fully reflect
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Tibo@thsottiauxยท1d ago
๐Ÿ“‰ Price Cut

OpenAI raises Work and Codex usage on ChatGPT Pro and Business Premium: Pro 100 and Pro 500 doubled, Pro 200 cut canceled

On Oct 29, OpenAI's Codex and ChatGPT lead Tibo announced on X that usage for Pro 100/200/500 and Business Premium doubles effective today. OpenAI's Help Center confirms that Pro 100 and Pro 500 now get twice their previous Work and Codex allowance, the Pro 200 reduction announced in a Sept 29 email is canceled, and Pro 200 subscribers on the lower allowance are doubled up to the higher one. Plus is unchanged.

โšก Key Takeaways
  • โ€ขPro 100 ($100/mo) and Pro 500 ($500/mo) now get twice their previous Work and Codex allowance, applied automatically to existing subscriptions without waiting for renewal (Help Center)
  • โ€ขThe Pro 200 reduction announced in a Sept 29 email is canceled; Pro 200 users on the lower allowance are doubled to the higher one, still at $200/mo
  • โ€ขWeekly GPT-6 Pro chat message limits stay the same on Pro 100 and Pro 500; Pro 200's lower weekly limit is raised to the higher one
  • โ€ขBusiness Premium Work and Codex usage also goes up (the official release notes give no multiplier; Tibo's post says doubled); Plus is unchanged
  • โ€ขTibo says extended limits for dots continue and stay separate from default usage
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Cartesiacartesiaยท1d ago
๐Ÿš€ Release

Cartesia launches Managed Agents voice agent platform: #1 of 30 on Speech Agent Arena, $0.03 per minute at launch

Voice model company Cartesia launched Managed Agents on Oct 29, an end-to-end voice agent platform for enterprise phone calls that tunes its own speech-to-text and text-to-speech models together with the agent harness, and bundles telephony, knowledge bases, tool calls and outbound batches. Cartesia says it ranks #1 on Artificial Analysis's Speech Agent Arena with a 1115 Elo and scores 87.4% accuracy and 90.7% experience on ServiceNow's EVA-Bench (vendor-reported, with GPT-5.5 as the reasoning model). Launch pricing is 50% off at $0.03 per minute.

Cartesia launches Managed Agents voice agent platform: #1 of 30 on Speech Agent Arena, $0.03 per minute at launch
โšก Key Takeaways
  • โ€ขOn Artificial Analysis's Speech Agent Arena blind preference test, Managed Agents ranks #1 of 30 agents with a 1115 Elo, ahead of Gemini 3.1 Flash Live Minimal (1099), Grok Voice 3.0 (1064) and GPT-Live-1 (1041) (Cartesia blog, as cited by the vendor)
  • โ€ขFirst-attempt results on ServiceNow EVA-Bench across 200+ customer service, IT service and HR scenarios: 87.4% accuracy and 90.7% experience, versus 73.7%/71.2% for Grok Voice 3.0 and 59.0%/61.6% for GPT Realtime 2.1 (EVA-Bench)
  • โ€ขAll these benchmark runs use GPT-5.5 as the reasoning model; Cartesia's internal evaluation says 85% of calls had no turn-taking issues, versus 67% for other agents
  • โ€ขLaunch pricing is 50% off at $0.03 per minute; Cartesia says the platform has already handled tens of millions of conversations in finance, retail, hospitality and healthcare
  • โ€ขIt supports 44 languages; English, Spanish, Hindi, French and Japanese can switch mid-call today, with the rest coming soon
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LM Studiolmstudioยท1d ago
๐Ÿ› ๏ธ Tooling

LM Studio Bionic 1.1.10 adds the oMLX engine, bringing RAM-plus-SSD KV caching and MLX speculative decoding to local models on Macs

LM Studio posted on X at 15:32 UTC on Oct 29 that users can now download a new oMLX engine inside LM Studio and run it with MLX models they already have. The official changelog lists it in Bionic 1.1.10, alongside speculative decoding for MLX models and an in-app terminal. oMLX is an open-source Apple Silicon inference server maintained by developer jundot (Apache 2.0, about 23,000 GitHub stars) built around continuous batching and a two-tier RAM and SSD KV cache. LM Studio has not published speed comparisons for the engine.

LM Studio Bionic 1.1.10 adds the oMLX engine, bringing RAM-plus-SSD KV caching and MLX speculative decoding to local models on Macs
โšก Key Takeaways
  • โ€ขLM Studio says the oMLX engine can now be downloaded inside the app and used with existing MLX models; the post has about 540 likes (post)
  • โ€ขThe Bionic 1.1.10 changelog (Oct 29) also lists speculative decoding for MLX models, a public in-app terminal and llama.cpp 2.66.0 extension packs (changelog)
  • โ€ขoMLX is Apache 2.0 open source with about 23,000 GitHub stars and needs macOS 15+ on Apple Silicon M1 to M5 (GitHub)
  • โ€ขIts core is a two-tier KV cache: hot blocks stay in RAM, overflow is written to SSD as safetensors, and matching prefixes are restored from disk even after a restart
  • โ€ขLM Studio has published no speed comparison with its existing MLX engine; one user reported that restart-to-update failed after launch and LM Studio is investigating
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