Latest

Every published item, in order · 9305 items
Oct 16
Tomorrow 08:00, the daily lands in your inboxTelegram channel or email. Same screening as this page, no ads.
ModelsBuildersSelected02:35
Muse Spark Open enters limited preview on GroqCloud at 350+ tokens/sec

Groq's inference speed makes a large sparse model practical for interactive coding agents, where latency often decides usability. Developers building agentic coding workflows can apply for the limited preview on GroqCloud and compare throughput against running the same weights on GPU providers.

Official accountGroq@GroqIncSource
ModelsBuildersMulti-sourceSelected01:35
Hermes Agent adds NVIDIA Nemotron 3.5 Super VL and Bolt models

The 5x token-throughput claim targets local, on-device inference, a differentiator against cloud-only models of similar size. Developers running agents on their own hardware can test both models directly in Hermes Agent. Compared with other local multimodal options, Super VL's Hermes Bench score of 63.44 offers an early benchmark reference point.

Event
Official accountNous Research@NousResearchSource
ModelsBuildersSelected01:25
Meta releases Muse Spark Open weights via major cloud platforms

The distribution breadth is the notable part: day-one hosting across seven inference providers plus four weight mirrors makes it easy to test Muse Spark Open without Meta's own stack. The Muse Model License's limited commercial terms mean teams should check whether their revenue scale qualifies for free use before shipping to production. Developers comparing open-weight options can benchmark it directly against similar offerings on Groq or Together AI.

Official accountMeta AI@AIatMetaSource
ModelsBuildersMulti-sourceSelected01:24
Meta Muse Spark Open Runs on Two M5 Ultra Mac Studios

Local deployment on a pair of Mac Studios lowers the hardware barrier for running an advanced open model outside data centres, cutting reliance on cloud GPUs. Developers building on-device or privacy-sensitive applications can start with MLX or llama.cpp and fine-tune via TorchTitan. Compared with NVIDIA-only stacks, this positions Apple silicon as a credible inference option for open models.

Event
Official accountMeta AI@AIatMetaSource
ModelsBuildersSelected01:24
Meta Releases Muse Spark Open With 816B Parameters

A 42B active parameter count suggests inference costs far below what the 816B total implies, which matters for teams self-hosting open weights. The 1M context window and native audio and video input position it as a direct alternative to closed frontier models for agent pipelines. Developers building on open-source models now have a US-trained option to weigh against Chinese open-weight releases like DeepSeek and Qwen.

Official accountMeta AI@AIatMetaSource
ModelsBuildersMulti-sourceSelected00:35
NVIDIA Releases Nemotron 3.5 Super VL Vision-Language Model

Combining vision and text in one model lowers latency and engineering overhead for agent pipelines that previously chained a vision model behind an LLM. Developers building document-reading, chart-interpreting agents should evaluate whether Nemotron 3.5 Super VL can replace their two-model setup and simplify context management.

Event
Official accountNVIDIA AI@NVIDIAAISource

Only the latest 2000 items are listed; for older ones see the daily archive