与「Orchestra」相关的搜索结果

A skill is basically a program for an LLM. We're thinking about orchestration as skills too: different message board setups for agents, run side by side, keep whatever works best. with @jamescalam and @micmakarov

When Anthropic orchestrates a witch hunt and trots out Ian King for their 'expose,' you know it’s a total hit job, not legitimate Bloomberg journalism. Everyone knows what the notoriously trashy British tabloid The Sun—where King spent 8 years—is made of. He’s the guy who ran headlines like 'I’m a Piece of Sh--' just to character-assassinate Jensen and paint him as unfit to lead. Why? Because their coordinated Anthropic-matrix spy narrative completely flatlined.

Orchestrator is rolling out today to Google AI Ultra subscribers (with additional models and plans supported in the future), and Enterprises can access it in Gemini for business. Read the blog ↓

We’re rolling out Orchestrator in @Antigravity to Google AI Ultra subscribers, letting you run multiple models in a single session instead of routing the entire task to one model. Orchestrator pairs a frontier model with a fast execution model: Carbon sets the plan, hands off code edits and testing to Hydrogen, and steps back in to repair the plan if it hits friction — reaching near-Carbon task success rates on Terminal-Bench 4.0 while consuming 24% less quota and completing 19% faster on average.

grok bot is the BEST AI agent orchestrator right now and THIS is the best setup i’ve EVER seen it runs claude code for engineering and paper for design here is the FULL setup and how to copy it:

In traditional Chinese culture, the plum blossom is admired for its ability to bloom in the cold of winter, making it a powerful symbol of resilience, strength, and perseverance. Now, let's take a moment to enjoy soprano Geng Haolan performing “Plum Blossoms” with the Shen Yun Symphony Orchestra. May the beauty of the plum blossom—and the music inspired by it—remind us that even through life’s coldest seasons, we can continue to stand strong and bloom. ============= ☘️ Watch more videos: ☘️ Watch live:

I asked fable 5.2 to invent a new musical form. Fable 5.2 wrote a symphony that’s shaped like a training run. The orchestra starts as random noise, learns the key, pulse, harmony and the melody, then plays music it was never shown.

Breaking: Dell Technologies is expanding the Dell AI Data Platform! 🚀 ​ Power smarter AI agents with trusted context, process data up to 20x faster on batch workloads and scale with new data orchestration and storage software enhancements. ​ Read the full announcement:

Experience Shen Yun - An unforgettable experience! Seamlessly blending the grandeur of a Western orchestra with the ethereal beauty of Chinese melodies, the music’s profound emotional range truly captures the depth of the human experience. All of this created a memorable concert that touched the hearts, nourished the spirits, and stirred the souls of listeners. Watch live:

Doing a bit of a self-experiment. Goal: use my personal health and travel data to provide personalized diet and exercise recommendations for me, using frontier models but in a way that avoids leaking to them any private information. Strategy: use a local model (Qwen 3.8 Flash Next) to orchestrate, and use powerful remote models as a tool call to benefit from higher-level thinking and knowledge that the local model does not have. Three-layer approach to privacy: Avoid leaking personally identifiable information, or leaking my identity through writing style -> local model writes the queries to the frontier model, not me Avoid leaking who I am through the payment channel -> zkAPI Avoid leaking who I am through networking / IP -> Tor You need all three (and finally we have all three, at least to some extent) A skill file teaches the local model when and how to construct minimally-data-revealing requests to remote models. Use zkAPI-wrapped-with-Tor as a CLI tool. And everything works! I got the recommendations back, info from frontier models helped to improve them. Main deficiencies: * Tor is really not optimized for request-by-request de-linking, which is the only form of network-layer privacy that really makes sense in today's world (long-running identifiers are too fragile). Probably not private enough, and latency 10-100x higher than it could be, at the same time. * The skill file's request construction strategies are definitely far from optimal. * Qwen 3.8 Flash Next is still too slow for comfort. It's comfortably running at 20-30 TPS, but it would only really start to feel fast at 100+ * There is a tradeoff: the more careful you are about what data you give to a remote model, the less it can help you