#Machine Learning

Together AI co-founders Percy Liang, Vipul Ved Prakash, and Ce Zhang after announcing an $800 million Series C at an $8.3 billion valuationAI

Together AI Raises $800 Million at $8.3 Billion to Run Open-Source Models at Enterprise Scale

Together AI raised $800 million in a Series C at an $8.3 billion valuation. Customers including Cursor and Cognition report 6x to 60x cost savings over closed models.

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Claude Sonnet 5 benchmark comparison chart showing scores across SWE-bench Pro, Terminal-bench 2.1, OSWorld-Verified, and BrowseCompAI

Claude Sonnet 5 vs Opus 4.8: Benchmarks, Pricing, and Which One to Run

Claude Sonnet 5 vs Opus 4.8 - benchmarks, real deployment data, and pricing through the August 31 deadline. Here is which model to run and why.

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Claude Science AI workbench interface showing protein structures and scientific data analysisAI

Anthropic Launches Claude Science, an AI Workbench Built for Scientists

Anthropic launched Claude Science on June 30, an AI workbench in beta pulling 60+ scientific databases, compute management, and auditable artifacts into one environment.

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Apple MacBook Pro on a desk representing the upcoming Apple M7 chip generation and its AI-focused Apple silicon roadmapAI

Apple Skips M6 Pro and Max to Fast-Track an AI-Focused M7 Chip for 2027

Apple is skipping the M6 Pro and Max to launch an AI-focused M7 chip lineup in 2027, Bloomberg reports. On-device AI inference drove the decision.

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Blue Ford F-150 pickup truck parked outdoors with mountains and dramatic sky in the backgroundAI

Ford Rehired 350 Engineers After AI Failed Its Quality Control

Ford rehired 350 veteran engineers after AI quality control failures triggered major recalls. Ford now leads J.D. Power for the first time in 16 years.

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Close-up of a quantum computing processor with gold wiring and cryogenic hardware components in a research labScience

What Is Quantum Computing and When Will It Actually Matter?

Quantum computing hit three major milestones in 18 months. Here is what it does, where it stands in 2026, and what NIST's 2030 deadline means for you.

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Illustration explaining how a large language model (LLM) works, including training data, neural networks, language processing, and AI-generated responses.AI

What Is a Large Language Model - and How Does It Work?

A large language model does not think. Prediction is all it does - token by token, drawing on patterns from trillions of words. Here is how it works.

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