Alibaba shares jump 19% on cloud unit acceleration, report of new AI chip (3 minute read) Alibaba's shares are now at their highest level since March. The tech giant has been investing in AI infrastructure and developing its own models, as well as selling AI services for its cloud computing unit. AI-related product revenue maintained triple-digit year-over-year growth for the eighth consecutive quarter. Alibaba's core e-commerce business has been showing signs of revival. It recently introduced a feature on Taobao that provides deliveries of certain products in China within an hour. | | Science & Futuristic Technology | Teaching AI How Science Actually Works (18 minute read) Current AI for science consists of specialized tools built on curated data sets, but much of science is hands-on experimentation and unrecorded tacit knowledge. AI scientists will need multimodal datasets that capture that tacit knowledge for them to become truly capable. The IFP has proposed an effort to generate and use the multimodal data necessary to unlock the full potential of AI for science. The program involves creating a lab that would simultaneously conduct research while recording everything and then using that data to make the whole process more productive. | | Programming, Design & Data Science | Ripple (GitHub Repo) Ripple is a TypeScript UI framework that combines the best parts of React, Solid, and Svelte into one package. It was designed to be a JavaScript/TypeScript-first framework, rather than HTML-first. Ripple has its own superset language that plays nicely with TypeScript and JavaScript, but with an interesting touch that leads to a better developer experience for both humans and large language models. It is still in an early development stage. | Lessons on building an AI data analyst (12 minute read) This article looks at what it takes to build an AI data analyst. It provides tips on how to preserve quality where it matters without blowing up response times. Text to SQL isn't enough because the task is hard for current models - systems should instead run a multi-step workflow. Context and metadata can mean the difference between the right and wrong answer. | | Where are all the trillion dollar biotechs? (28 minute read) The drug development industry addresses the most tractable diseases with the biggest outcomes first. However, unlike with other industries, reinvesting capital from early wins back into the ecosystem hasn't accelerated the industry's progress - it has been on a reverse trend for a while now. For the industry to advance, manufacturing and trials need to get cheaper with each run, regulations should become more adaptive, approval frameworks should increase and not decrease in variance, and new therapeutic modalities should focus on unlocking new biology. Until these new paradigms take hold, it will be difficult to build a trillion-dollar biotech. | Thoughts on (Amazonian) Leadership (6 minute read) Amazon's Leadership Principles are famous in the tech world. They're generally sensible rules by which to run a company. The principles include Customer Obsession, starting with the customer and working backwards; Ownership, thinking long term that not sacrificing long-term value for short-term results and acting on behalf of the company, not just your own team; and Bias for Action, making fast decisions and being aware that many decisions and actions are reversible and do not need extensive study. This article provides some commentary on these principles. | | | Love TLDR? Tell your friends and get rewards! | | Share your referral link below with friends to get free TLDR swag! | | | | Track your referrals here. | | Want to advertise in TLDR? 📰 If your company is interested in reaching an audience of tech executives, decision-makers and engineers, you may want to advertise with us. Want to work at TLDR? 💼 Apply here or send a friend's resume to jobs@tldr.tech and get $1k if we hire them! If you have any comments or feedback, just respond to this email! Thanks for reading, Dan Ni & Stephen Flanders | | | |
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