silicon valley
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Silicon Valley | Ten Years Later: The Extended Pied Piper Documentary | HBO
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“I don’t want to live in a world where someone else makes the world a better place better than we do.”
— Richard Hendricks/ Silicon Valley
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Silicon Valley – Season 1: Trailer
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How Ai works
AI, or artificial intelligence, works by using computer systems to simulate human-like thinking. Here’s a simple breakdown:
1. Learning from Data (Machine Learning)
AI learns patterns from large amounts of data. For example:
- If you feed it lots of pictures of cats and dogs, it learns what features make a cat or a dog.
- This process is called training a model.
2. Neural Networks
A common type of AI uses neural networks, inspired by the human brain.
- It has layers of artificial “neurons” that process information.
- Each layer extracts more complex features from the input (like shapes, colors, or sounds).
3. Decision Making
After training, the AI can:
- Recognize images (e.g. face recognition)
- Understand speech (e.g. virtual assistants)
- Predict outcomes (e.g. stock price trends)
- Generate content (like writing, art, or music)
4. Feedback & Improvement
AI can improve with more data and feedback—this is called reinforcement learning or fine-tuning.
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How a top Chinese AI model overcame US sanctions
“DeepSeek’s success is even more remarkable given the constraints facing Chinese AI companies in the form of increasing US export controls on cutting-edge chips. But early evidence shows that these measures are not working as intended. Rather than weakening China’s AI capabilities, the sanctions appear to be driving startups like DeepSeek to innovate in ways that prioritize efficiency, resource-pooling, and collaboration.”
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California legislature passes sweeping AI safety bill
“The bill, which has been a flashpoint for debate in Silicon Valley and beyond, would obligate AI companies operating in California to implement a number of precautions before they train a sophisticated foundation model. Those include making it possible to quickly and fully shut the model down, ensuring the model is protected against ‘unsafe post-training modifications,’ and maintaining a testing procedure to evaluate whether a model or its derivatives is especially at risk of ‘causing or enabling a critical harm.’”