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AI Automation for Customer Retention: Why Growth Does Not Stop After Conversion
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The Anthropic-Physical Intelligence rumor roiling AI Twitter
Anthropic and OpenAI's aggressive 2026 acquisition sprees set the stage for a weekend rumor.
KEUNTUNGAN BERMAIN POKER88
poker88Continue reading on Medium »
The Ultimate Beginner’s Guide to Artificial Intelligence (Without the Confusing Jargon)
Artificial Intelligence is everywhere.Continue reading on Medium »
Dimension Capital’s $800M third fund shows the intersection of science and compute is booming
The four-year-old firm's latest fund is 60% larger than its second vehicle announced 18 months ago.
Meta is testing an AI bedtime story app for people with no imagination
Meta's StoryKit app is only available in certain regions while the company tests how parents react to it.
U.K.-based Humanoid secures $152M in Series A funding
Humanoid said it has reached a $1.35 billion valuation as it scales its AI-driven industrial robots and expands commercial deployments. The post U.K.-based Humanoid secures $152M in Series A funding appeared first on The Robot Report.
When AI Escapes the Evaluation: OpenAI, Hugging Face, and the Case for Collaborative Failure…
Large AI companies are no longer just racing on capabilities. They re learning, together, how to contain the consequences. The OpenAI Continue reading on Medium »
What If Your Laptop Was the Server? Rethinking Personal Computing
For decades, we have been moving in one direction: more software moved away from our devices and into the cloud.Continue reading on Artificial Intelligence in Plain English »
Vicarious Surgical officially shutting down
Vicarious Surgical raised about $300 million in total, most of that from a special purpose acquisition company (SPAC) merger in 2021. The post Vicarious Surgical officially shutting down appeared first on The Robot Report.
Ukraine’s New Commander: Can a New Generation Transform the Future of War?
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Poolside drops Laguna S 2.1, an open-weight coding model that beats rivals 10x its size
Poolside, the San Francisco AI lab that has spent most of its three-year existence quietly selling coding models to governments and defense agencies, released its most capable model to date on Tuesday — and made an unusually aggressive bet that radical transparency, not raw scale, is how a smaller lab competes at the frontier.The model, Laguna S 2.1, is a 118-billion-parameter Mixture-of-Experts (MoE) system that activates only 8 billion parameters per token, supports a context window of up to 1 million tokens, and — according to benchmarks published by the company — matches or beats open models several times its size on agentic coding tasks. The weights are available immediately on Hugging Face under the permissive OpenMDW-1.1 license.The headline numbers are striking for a model this small. Poolside reports that Laguna S 2.1 scores 70.2% on Terminal-Bench 2.1, a benchmark of long-horizon terminal tasks, placing it 11th on the company s compiled leaderboard — ahead of DeepSeek-V4-Pro-