Richard Hirsh; John McCallum; OpenAI Details on Page 138 0 Years 72 Years Electric Power Computer Memory AI Inference AI Monetization Threats = Rising Competition + Open-Source Momentum + China’s Rise its 365 product suite 3/23: Anthropic releases Claude, its AI assistant focused on safety & inter- pretability 3/24: USA Department of Homeland Security unveils its AI Roadmap 11/23: 28 countries, including USA, EU members & China, sign Bletchley Declaration on AI Safety 4/24: Meta Platforms releases its open- source** Llama 3 model with 70B parameters

can run unit tests with ./mach test-unit . Example calls: Running the whole test-suite can be very memory intensive, you can dampen this behaviour somewhat with with restricting the amount of compiled crates Servo's runs: Interval Profiling TSV Profiling Generating Timelines Built-in sampling profiler Memory Profiling Using macOS Instruments Interval Profiling Using the -p option followed by a number (time environment variable. $ ./mach run --release -p 5 --profiler-trace-path trace.html https://reddit.com/Memory Profiling Using the -m option followed by a number (time period in seconds), you can spit out profiling

request.body. By default uploaded files are fully buffered in memory; if you need to handle files that are too large to comfortably keep in memory see the stream_request_body class decorator. In the demos __name__ == "__main__": asyncio.run(main()) See the User’s guide for additional information. Thread-safety notes In general, methods on RequestHandler and elsewhere in Tornado are not thread-safe. In particular string or an iterator of byte strings. The latter is preferred for large files as it helps reduce memory fragmentation. Added in version 3.1. classmethod get_content_version(abspath: str) → str Returns

request.body. By default uploaded files are fully buffered in memory; if you need to handle files that are too large to comfortably keep in memory see the stream_request_body class decorator.In the demos directory to confuse some IDEs.Web framework tornado.web — RequestHandler and Application classes Thread-safety notes Request handlers RequestHandler Entry points RequestHandler.initialize() RequestHandler.prepare() == "__main__": asyncio.run(main()) See the User’s guide for additional information. Thread-safety notes In general, methods on RequestHandler and elsewhere in Tornado are not thread-safe. In particular

Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 28.6 Garbage Collection Safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 28.7 Non-constant Function Specifications Accessing Data through a Pointer . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 28.16 Thread-safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388 28.17 More About Calling Julia Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408 31.5 Memory Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409 31.6 Working with

Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 28.6 Garbage Collection Safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 28.7 Non-constant Function Specifications Accessing Data through a Pointer . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 28.16 Thread-safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388 28.17 More About Calling Julia Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408 31.5 Memory Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409 31.6 Working with

Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 28.6 Garbage Collection Safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 28.7 Non-constant Function Specifications Accessing Data through a Pointer . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 28.16 Thread-safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388 28.17 More About Calling Julia Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408 31.5 Memory Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409 31.6 Working with

Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 28.6 Garbage Collection Safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 28.7 Non-constant Function Specifications Accessing Data through a Pointer . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 28.16 Thread-safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388 28.17 More About Calling Julia Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408 31.5 Memory Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409 31.6 Working with

Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384 28.6 Garbage Collection Safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384 28.7 Non-constant Function Specifications Accessing Data through a Pointer . . . . . . . . . . . . . . . . . . . . . . . . . . . 388 28.16 Thread-safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389 28.17 More About Calling Julia Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409 31.5 Memory Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 31.6 Working with

Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358 27.6 Garbage Collection Safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358 27.7 Non-constant Function Specifications Accessing Data through a Pointer . . . . . . . . . . . . . . . . . . . . . . . . . . . 362 27.16 Thread-safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363 27.17 More About Calling Julia Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381 30.5 Memory Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381 30.6 Working with