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Model Card|Muse Voice Transcribe

Muse Voice Transcribe (muse-voice-transcribe-1.0): Meta Superintelligence Labs' first real-time audio perception model, launched 2026-09-01; closed-source, API-only, $0.18/hour of audio ($3.00 per 1,000 minutes); 3.1% final-transcript WER on streaming (#1 on Artificial Analysis AA-WER Streaming, ahead of Cartesia Ink-2's 3.4%), 0.16s delay from end-of-speech to final transcript; one model does ASR, 20+ speaker diarization, and endpointing together, replacing what used to require three separate systems

Model Card | Muse Spark 1.2

Muse Spark 1.2: 1M context window, input $1.25 / output $4.25 per 1M tokens (same as 1.1), AA Intelligence Index 57, GDPval-AA v2 Elo jumps 260 points to 1631 (5th overall), paired with Meta's first code agent Muse Code for long-running multi-agent collaboration

Llama——From Open-Source Experiment to the Most Deployed Open LLM, and Meta's Closed-Source Pivot

Llama is Meta's open-source LLM family, with the largest enterprise deployment footprint and the most mature ecosystem. Llama 4 Scout (10M context) and Maverick (17B active / 400B total MoE) are the current open multimodal benchmarks, but Meta pivoted to closed-source Muse Spark in April 2026—Llama 4 is likely the last major open Llama, and its license is not truly open (Llama 4 Community License, separate license required above 700M MAU).

Muse Code: Meta's First Coding Agent, Trading Training Rights for a 20x Discount

In August 2026, Meta Superintelligence Labs released Muse Code beta. Closed-source static binary, Muse Spark 1.2 model, parallel persistent sub-agents with worktree isolation. The biggest controversy is pricing: Standard at $1.25/$4.25 per M tokens, or Contributor at $0.10/$0.20 — 20x cheaper, but your code enters Meta's training pipeline.

Model Card|Muse Glimmer

Muse Glimmer (HF: meta-models/Muse-Glimmer-30B): 29.6B params, 131K+ context, Apache 2.0 fully open-source, zero token cost for local deployment; MCP Atlas 75.5 (vs Gemma4-31B 54.2, Qwen3.6-27B 62.5), SWE-Bench Pro 51.2 leads same tier, but trails Qwen3.6-27B on OSWorld-Verified and TerminalBench 2.1; 4-bit quantized fits under 20GB, DFlash speculative decoding delivers 3.1x speedup on RTX 5090

tech deep-dive

Your Phone Isn't Listening: What FTC Filings and Meta's Own Docs Say About Why the Ads Are So Accurate

Northeastern tested 17,260 Android apps and found zero activating the microphone. In May 2026 the FTC ruled that Cox Media Group — the company that claimed to be listening — collected no voice data at all and was reselling data-broker email lists, settling for $930,000. The real pipelines are off-site event feedback, lookalike spillover, contact-graph uploads, and location brokers.

From Stripe to Meta: How Silicon Valley's Top Companies Replace Keyboards with AI Agents

Top Silicon Valley companies are independently building internal AI coding agents that automate everything from a Slack message to a merged PR. This article deep-dives into architectures from Stripe, Ramp, Coinbase, and Spotify, then expands to cover Google, Meta, Amazon, Uber, Goldman Sachs, Walmart, and more.