2026-10-20Perplexity Computer, fully local on Mac
Perplexity's Computer agent can now run fully on-device in the Mac app, with the model (PPLX Pro or Qwen) and the agent working with local files and native apps like Notes, Mail and Numbers without using Computer credits. For Pro, Max and Enterprise on Apple silicon; 36GB+ memory recommended.
Source ↗2026-10-20EAGLE-4 speculative decoding
EAGLE-4 is an open-source speculative-decoding system with one trained drafter per target model that adapts draft-tree depth, width and verification budget to hardware and batch size. It reports about 4x faster decoding on Qwen3.8-27B, with SGLang and vLLM integrations for NVIDIA B300 and AMD MI355X.
Source ↗2026-10-20Voxtral 3 (Mistral)
Mistral launched Voxtral 3: new speech-to-text models (Voxtral Small/Mini Transcribe 3, incl. realtime), Voxtral Mini TTS 3 with emotion and pace control and voice cloning ($13 per 1M characters), and a voice agent SDK, via its EU-hosted API or self-deployment.
Source ↗2026-10-20Eleven Realtime (ElevenLabs)
ElevenLabs introduced Eleven Realtime, end-to-end speech-to-speech models for voice agents: v1 Mini for natural conversation and v1 Max for complex tool-using tasks, with 90+ languages, 17,000+ voices and an OpenAI-compatible Realtime API.
Source ↗2026-10-20Fibo 2.0 (Bria)
Bria released Fibo 2.0, an 8B open-weights image model trained only on licensed data that unifies generation and instruction-based editing (up to four reference images, masks, JSON controls); Dev and Edit Turbo weights are on Hugging Face and it ranks #1 among open-weights models on Artificial Analysis image editing.
Source ↗2026-10-20Ornith-1.5-122B
Ornith released Ornith-1.5-122B, an MIT-licensed open-weight MoE model for coding and agentic work that runs on a single NVIDIA DGX card, with FP8, NVFP4, GGUF and MLX variants and day-one support in Ollama, SGLang and Hermes Agent.
Source ↗2026-10-20Ampersand v0.1 (humans&)
humans& released its first model, Ampersand v0.1, a collaborator model trained in long multi-party simulations to help groups reach shared goals (and to stay quiet when it should); built from GLM 5.3 and available now via an OpenAI-compatible Agents API.
Source ↗2026-10-20Phonon on-device TTS (Gradium)
Gradium open-sourced Phonon, tiny on-device text-to-speech models (31M and 40M parameters, the smallest about 64 MB) that run offline on phones, laptops, browsers and embedded hardware; the English 31M model is Apache 2.0.
Source ↗2026-10-20FastH3 Omni (Hao AI Lab FastVideo)
UCSD's Hao AI Lab open-sourced FastH3 Omni, a distilled, accelerated version of MiniMax H3 reference-to-video that takes text plus image, video and audio references and generates synced video with audio in eight steps, with NVFP4 checkpoints for local RTX/Spark GPUs.
Source ↗2026-10-20Beacon (Asymptote Labs)
Asymptote Labs launched Beacon, an MIT-licensed, local-first memory and telemetry layer that captures sessions from 20+ coding agents (Claude Code, Cursor, Codex and more) and turns them into reusable skills, alongside a $5.5M seed round.
Source ↗2026-10-20Gemini tools for small businesses (Google)
Google added a small-business landing page to the Gemini app with on-brand visuals (upload a brand kit, paired with Nano Banana 2.1), financial insights from messy spreadsheets and receipts, and connections to Google Business Profile, Ads, Workspace and apps such as Canva, Shopify and Xero.
Source ↗2026-10-20VARCO Sound (NC AI)
NC AI officially released VARCO Sound, a multitrack generative AI sound platform that creates and edits scene-appropriate audio from text, images and video, with a plugin for existing production workflows.
Source ↗2026-10-20Mintlify Autopilot
Mintlify launched Autopilot in beta on Pro and Enterprise plans: an always-on docs agent that watches your repos plus Slack, project trackers, support tickets and feature flags, drafts doc updates when something changes and opens a pull request for review.
Source ↗2026-10-20llm-d 1.0
The CNCF-governed llm-d project (founded by Red Hat, IBM, Google Cloud, CoreWeave and NVIDIA) released llm-d 1.0, a hardened open-source core for distributed LLM inference aimed at production and context-heavy agentic workloads.
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