We've just released @MLPerf Mobile version 5.0.2 on the Google Play Store and GitHub. This version adds support for devices based on the Samsung Exynos 2500 SoC.
play.google.com/store/apps/d…
If San Francisco can update the code of a website in less than 4 hours so people don’t have access to parking ticket data anymore, I know that we can do more important things quickly too, but inexplicably choose not to.
Trump’s EO designating ANTIFA as a domestic terrorist org is worded so that anyone protesting ICE agents, filming or asking them for ID, or informing people of their rights, can be charged as a domestic terrorist.
This isn’t an attack on ANTIFA.
It’s an attack on our rights.
Today is my last day at @databricks .
~2.5 years ago @alighodsi told me his goal was to build a $100B company. Databricks was at a $38B valuation when MosaicML was acquired in July 2023 and just broke the $100B valuation number. It’s amazing to be part of this growth! And now AI is infused in everything that @databricks does.
While it has only be 2 years, I feel very close to the company. Thanks for the awesome journey in the inner dev loop with Databricks founders @alighodsi@matei_zaharia@pwendell Arsalan Tavakoli-Shiraji @rxin . It’s not often you get to bear witness to a company maturing into a foundational player!
Innovation and investment in the AI era are taking on new forms. We’re spinning out a new effort around foundational challenges in AI and computing and I’m excited to be leading it! I will be staying on as an advisor and look forward to seeing Databricks lead the evolution of enterprise AI.
And I can’t believe it has been 5 years since @jefrankle@mcarbin and @hanlintang and I started talking about how to make neural nets efficient. That was in the middle of COVID and so much has happened in the world! Thanks for the fun ride.
I believe AI will touch the life of every human on the planet and help us understand our world in unprecedented ways. Databricks is extremely well positioned to catalyze enterprise usage. And the work continues to achieve economics that scale. That won’t come easy and we have to build the world we want to create.
Stay super awesome Bricksters!
Invigorating discussion with @TheKanter last week as we talked about the complexities of building AI benchmarks, not just around performance and efficiency, but around safety and models supporting human wellbeing and flourishing. It's about building and making AI that is better for everyone. Look forward to future discussion on this topic with his team at @MLCommons.
It has been an incredible honor to spend the past few years leading @Cohere_Labs@cohere .
This has been the adventure of a lifetime. However, after much deliberation, I made a tough decision 2 months ago it is time to say goodbye.
MLPerf Client v1.0 is here and takes a major leap in standardized AI PC benchmarking, built for real-world LLMs. Now supporting AMD NPUs and GPUs working together via the ONNX Runtime and Ryzen AI SDK. Learn more: bit.ly/3IZ6Kxb
MLCommons® just launched MLPerf® Mobile on the Google Play Store! 📱
Benchmark your Android device’s AI performance on real-world ML tasks with this free, open-source app.
Try it now: play.google.com/store/apps/d…
Every single one of the 11 Meta superintelligence hires is an immigrant who did their undergrad abroad.
7 China, 1 India, 1 Australia, 1 UK, 1 South Africa.
8 are PhD or PhD dropouts in the US.
Immigration is key to US AI innovation.
Members of Congress and their staff should all be forced to purchase healthcare via exchanges in their home states. We need better incentive alignment!
We're all about acceleration! 😉
Watch @KasimbegPriya & @frankstefansch1 speedrun an explanation of the AlgoPerf benchmark, rules, and results all within a tight 5 minutes for our #ICLR2025 paper video on "Accelerating Neural Network Training". See you in Singapore!
Check out our latest research on data. We're releasing 24T tokens of richly labelled web data. We found it very useful for our internal data curation efforts.
Excited to see what you build using Essential-Web v1.0!
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🚀 Meet Essential-Web v1.0, a 24-trillion-token pre-training dataset with rich metadata built to effortlessly curate high-performing datasets across domains and use cases!