Jane Lanhee Lee (@leejane71) 's Twitter Profile
Jane Lanhee Lee

@leejane71

Covering computing for Bloomberg from Taipei - find me on LinkedIn

ID: 361056247

calendar_today24-08-2011 05:24:09

275 Tweet

1,1K Followers

367 Following

Jane Lanhee Lee (@leejane71) 's Twitter Profile Photo

Here's some cord cutting that could really change some power dynamics. Thanks Chris Davlantes Alan Cohen Matt Ocko Jeff White Nate Nickerson for sharing the technology. #wireless charging lnkd.in/gvEQSzPf

Jane Lanhee Lee (@leejane71) 's Twitter Profile Photo

TSMC money is already changing Phoenix. Even the hotel near the factory yesterday with construction workers traveling for work, and the parking lot was filled with pick-up trucks. Now they are tripling the initial investment. #chips #tsmc lnkd.in/grf4T9nG

Jane Lanhee Lee (@leejane71) 's Twitter Profile Photo

My first Biden event at TSMC "tool-in" ceremony! "3 nano, no-no, I don't know," said the president about TSMC plans to bring its most advanced "3 nanometer" family of chips to the second plant it will build in Arizona. Yeah, that n…lnkd.in/gbbZSTEP lnkd.in/gYRCBqMm

Jane Lanhee Lee (@leejane71) 's Twitter Profile Photo

Another round of massive chip funding plans in the works in China, according to an EXCLUSIVE story by the amazing Julie Zhu at Reuters. Will this round of funding work? lnkd.in/g4zKYaPb

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The United States cut off China's ability to make advanced chips, and now some lawmakers are worried about China ramping up production of older chips. Here's why. Story by me and Alexandra Alper @HorwitzJosh #chips lnkd.in/gHB2Sqkn

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Thank you Ali Altun for the wonderful education on metrology. Chip making is so complicated but it is so important we all try to understand it better. lnkd.in/gqZaxbBT

Jane Lanhee Lee (@leejane71) 's Twitter Profile Photo

The effort to challange Nvidia's AI market dominance continues. Thank you Jonathan Ross and Groq team for explaining how Groq adapted LlaMA. Here's the story my chip yoda Stephen Nellis and I wrote. lnkd.in/gwF6k6UZ

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SEEQC's solution for scaling up superconducting quantum computers. Thanks John Levy for explaining the technology. #quantumcomputing #quantumtechnology lnkd.in/g8MKjtBU

Jane Lanhee Lee (@leejane71) 's Twitter Profile Photo

AI computing startup Cerebras releases seven free ChatGPT-like models trained on its supercomputer to flex its hardware muscle and call for more AI collaboration rather than closing things off. The biggest has 13 billion parameters…lnkd.in/gx6Aszwr lnkd.in/giD6FzDA

Jane Lanhee Lee (@leejane71) 's Twitter Profile Photo

My first feature story on quantum computing after covering many funding rounds in the past 3 years as an excuse to learn and write about this technology that will change our future more so than ChatGPT. Thank you everyone for exp…lnkd.in/g4-6jK89 lnkd.in/gP_SiwfC

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CHIPS Act aims to bring back semiconductor fabrication to the U.S. but there is a big ecosystem of supply chain including specialty chemicals that also need to onshore. Impact Nano is one startup chipping away at that problem from…lnkd.in/dsgnqKrJ lnkd.in/dBWhywgv

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CHIPS and Science Act authorized $81 billion for National Science Foundation budget which could double the NSF budget by 2027, but without appropriation additional funding won't flow through. Silicon Valley Congressman Ro Khanna a…lnkd.in/gZhW6MU4 lnkd.in/gSJbS2wi

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Remember IBM Watson? He's back again as watsonx - IBM's pivot into what it sees as the third phase of AI. #llm #artificialintelligence Reuters lnkd.in/dNiP67Jg

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A massive project in Silicon Valley was unveiled today by chip toolmaker Applied Materials -- A giant R&D center the size of three American football fields that will create up to 2000 new engineering jobs when it comes on line in 2…lnkd.in/gsvVdzuR lnkd.in/gf9DCAvu

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Chip people in Silicon Valley I meet have been wondering what Tenstorrent Inc., which the legendary chip designer Jim Keller is leading, is up to. Turns out it's working on everything AI computing - soup to nuts. And it just announ…lnkd.in/g6wAcexq lnkd.in/gpP7c2aF

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Training ChatGPT like models is hugely expensive but it turns out so is developing benchmarks to test who can do that the fastest! MLCommons spent millions to develop the latest LLM benchmark. Thanks David Kanter for walking me through the details! lnkd.in/gr2CP8aH