Find published dossiers by topic, company, product or technology.

Showing 61–80 of 89 dossiers

Meta opens Muse Spark’s 816B weights — but large model-as-a-service operators need a separate licence

Meta Muse Spark Open is genuinely downloadable, unlike a promised future weight release. But 42B active parameters do not make its 816B weights cheap to host, and the Muse Model License is not Apache or MIT: model-as-a-service operators over $20M in affiliated annual gross revenue need a separate agreement.

GitHub rewrote Copilot’s 800,000-line agent runtime in Rust with agents doing most of the coding

The useful part is not the 800,000-line headline. GitHub has published unusually detailed receipts for a production-scale agent-assisted migration: roughly $120,000 of token spend, 14.5 weeks of incremental releases, dozens of regressions, extensive compatibility tests and a workload-specific jump from 7.55 to 120 session lifecycles per second.

Cognition’s Fusion uses a frontier lead and cheaper sidekick to cut coding-agent task cost

Fusion is interesting less as another routing feature than as a different agent-cost architecture: two persistent model contexts divide planning, review and execution instead of making one expensive model handle every token. The practical question for builders is shifting from token price to cost per completed task.

Abacus.AI’s Smaug Agentic fine-tune targets the failure tail in long-running coding agents

The useful part of Smaug Agentic is not another frontier-style benchmark claim. Abacus.AI is publishing a drop-in Kimi K3 derivative that targets a specific production failure mode in coding agents: long runs that burn the reasoning budget without converging. The weights and model card are public, but the training data is not disclosed and the benchmark gains remain vendor-produced.