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Zyphra Releases ZONOS3-Mini: Open-Source TTS With 100M Active Parameters

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Audio Language Model, Editors Pick, For Devs, Harness, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Staff, Tech News, Technology

Zyphra has released ZONOS3-Mini, an open-source text-to-speech model built for real-time use on local devices. The ZONOS3-Mini text-to-speech model is a sparse Mixture of Experts (MoE) with 800M total and 100M active parameters. It supports zero-shot voice cloning and word-level delivery control. Weights ship under Apache 2.0. For AI devs, size is the key point.

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Anthropic Launches Claude Fable 5.2 and Mythos 5.2: Same Model, Different Safeguards

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Ethics, AI Governance, AI Shorts, Applications, Artificial General Intelligence, Artificial Intelligence, Editors Pick, Enterprise AI, For Devs, Generative AI, Language Model, Large Language Model, Machine Learning, New Releases, Staff, Tech News, Technology

Anthropic just released Claude Fable 5.2 and Claude Mythos 5.2. Claude Fable 5.2 is a frontier model from Anthropic for long-horizon coding, research and agentic work. Mythos 5.2 is the same underlying model with fewer cyber and biology safeguards. It beats Opus 5.5 on most evaluations and costs less than the 5.1 models. TL;DR Size:

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Meta Releases Muse Ember, a 1M-Context Model for High-Volume Agent Work

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, For Devs, Language Model, Large Language Model, Machine Learning, New Releases, Python, Software engineering, Staff, Tech News, Technology

Meta Superintelligence Labs has released Muse Ember, its smallest and most efficient model. Meta Muse Ember is a hosted multimodal reasoning model built for the repetitive steps inside agents. Meta lists tool calls, coding subtasks, routing, extraction and long document parsing as targets. It scores 36 on the Artificial Analysis Intelligence Index, level with Claude

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Google Unveils TPU 8i Max and TPU 8tx: A Dual-Chip TPU and a Confidential TPU

ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, edge ai, Editors Pick, hardware, New Releases, Staff, Tech News, Technology

Google has added two new systems to its eighth-generation TPU lineup. TPU 8i Max targets massive context windows and rack density. TPU 8tx targets secure, confidential inference. Google TPU 8i Max is a dual-chip package built from 2 TPU 8i chips. Both arrive alongside TPU 8t and TPU 8i, announced in April. TL;DR Size: TPU

Google Unveils TPU 8i Max and TPU 8tx: A Dual-Chip TPU and a Confidential TPU Read More »

Baidu’s ERNIE Evolve Automated Research System Beats NanoChat and NanoGPT Records

agentic ai, ai, AI (Artificial Intelligence), AI Shorts, Applications, Artificial Intelligence, Editors Pick, For Devs, Harness, Language Model, Large Language Model, Machine Learning, New Releases, Staff, Tech News, Technology

Baidu has just released ERNIE Evolve, an automated research system that improves AI training and inference code. Given a repository, an objective and evaluation criteria, it picks research directions, edits code and runs experiments. Only changes that pass a hidden evaluator and a separate reviewer are kept. Baidu team tested the ERNIE Evolve automated research

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Reason Machines Open-Sources Aspen, a Git Server Built for AI Agents

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, For Devs, Harness, Language Model, Machine Learning, Open Source, Python, Software engineering, Staff, Tech News, Technology

Reason Machines has released Aspen, an open-source Git server for AI agent traffic. It targets repositories that hundreds of agents push to at once. Aspen independently implements the design OpenAI described for Pando. TL;DR Size: One Rust binary. Branches live in PostgreSQL (or SQLite), packs live in object storage. Runs on: A laptop (aspen dev),

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0sec Labs Open-Sources 0, an AI Security Harness With Web UI, CLI and MCP

agentic ai, ai, AI (Artificial Intelligence), AI Shorts, Applications, Artificial Intelligence, Context Engineering, Editors Pick, For Devs, Harness, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Software engineering, Staff, Tech News, Technology

Zurich-based 0sec Labs has released 0, an open-source AI security harness. It runs vulnerability investigations, code review, pentesting, reverse engineering and fix generation. Developers drive it from a local browser console, a headless CLI or an MCP server. The 0sec Labs open-source AI security harness is licensed MIT OR Apache-2.0 and ships as a research

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Google AI Releases Elephant-Goldfish Model Plugin for Spec-First Coding

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, For Devs, Harness, Language Model, Machine Learning, New Releases, Open Source, Staff, Tech News, Technology

Google has open-sourced the Elephant-Goldfish Model (EGM) plugin, a design-and-review layer for AI coding agents. The Elephant-Goldfish Model plugin makes an agent write a specification before it writes code. Fresh subagents with no conversation history then attack that spec. Google says thousands of its engineers use it. It is quite simple: catch wrong assumptions in

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Which Routing Does Each MoE Model Use? DeepSeek, Qwen, Mixtral, Llama 4, gpt-oss Compared

ai, AI (Artificial Intelligence), AI Infrastructure, Applications, Artificial Intelligence, Editors Pick, Embedding Model, Language Model, Large Language Model, Machine Learning, Staff, Technology

Open Mixture-of-Experts (MoE) models share one idea but disagree on almost every routing detail. Expert counts range from 8 to 384. Top-k ranges from 1 to 8. Some models keep an always-on shared expert; others drop it. TL;DR Size: 10 models, from Qwen3.6-35B-A3B (35B total, 3B active) to DeepSeek-V4-Pro (1.6T total, 49B active). Runs on:

Which Routing Does Each MoE Model Use? DeepSeek, Qwen, Mixtral, Llama 4, gpt-oss Compared Read More »

MoE Routing Strategies Explained: Top-K, Expert-Choice, Sigmoid Gating and Dynamic Routing (2026 Guide)

agentic ai, ai, AI (Artificial Intelligence), AI Infrastructure, Applications, Artificial Intelligence, Comparison, Editors Pick, Enterprise AI, For Devs, Language Model, Large Language Model, physical ai, Software engineering, Staff, Tech News, Technology

Every Mixture-of-Experts (MoE) model repeats one decision for every token: which experts should process it. That decision belongs to the router. MoE routing strategies shape quality, load balance and serving cost in every major open model. This guide explains the 7 routing strategies used in production, and the models that use each one. TL;DR Size:

MoE Routing Strategies Explained: Top-K, Expert-Choice, Sigmoid Gating and Dynamic Routing (2026 Guide) Read More »