🐾 IN TODAY'S WILD
Hey everyone,
Good morning and happy Friday!
Google Labs is using generative AI to create interactive textbooks, with its new "Learn Your Way" platform. Meanwhile, YouTube is expanding its AI tools to help creators with tasks like brainstorming and multilingual dubbing.
A new report shows that OpenAI's ChatGPT is primarily a consumer product, while Anthropic's Claude is used more professionally.
On the technical front, a new medical AI model can now reconstruct high-quality MRI images from incomplete data, and Alibaba has released an open-source web agent that rivals OpenAI.
In other news, a startup claims to have created a small, efficient AI model that outperforms larger ones from tech giants.
+ The news of this week 🗞️ “Oracle's recent earnings report, despite narrowly missing revenue and earnings per share forecasts, sent shockwaves through the market, causing its stock to surge 36% in a single day—its biggest one-day jump since 1992.” Continue reading here.
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🦾 AI daily pulse
Learn Your Way: Reimagining textbooks with generative AI
New research into GenAI in education demonstrates a novel approach to reimagining textbooks that led to improved learning outcomes in a recent study. The research comes to life in our interactive experience, Learn Your Way, now available on Google Labs.
My view: Wow. Just wow.
YouTube announces expanded suite of tools for creators in latest AI push
The company says it will use AI to personalize creator insights, automate video brainstorming and improve multilingual dubbing. [LINK]
My view: Yes to this.What chatbot usage studies from OpenAI and Anthropic say about AI’s likely economic impacts
Yesterday saw the release of dueling studies from OpenAI and Anthropic about the usage of their respective AI chatbots, ChatGPT and Claude. The studies provide a good snapshot of who is using AI chatbots and what they are using them for. But the two reports were also a study in contrasts, with OpenAI clearly emerging as primarily a consumer product, while Claude’s use cases were more professionally-oriented. [LINK]
My view: the world is not synced and won’t be anytime soon.
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⚡️ Top trends
How to ensure high-quality synthetic wireless data when real-world data runs dry
To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the generated data helps solve the issue of quantity, it may not always have good quality, and assessing its quality has been overlooked [LINK]Medical AI model achieves sharp, accurate MRI reconstruction for cardiac and blood flow imaging
A medical artificial intelligence (AI) technique now enables the precise and high-quality reconstruction of MRI images even from incomplete scan data. This innovative approach not only shortens reconstruction times compared to existing methods but also offers greater ease of use for medical professionals, promising to improve diagnostic accuracy in clinical settings. [LINK]
💻 Top techies
Alibaba unveils the first fully open-source web agent rivaling OpenAI’s
Tongyi DeepResearch demonstrates state-of-the-art results, scoring 32.9 on the academic reasoning task Humanity’s Last Exam (HLE), 43.4 on BrowseComp and 46.7 on BrowseComp-ZH in extremely complex information-seeking tasks, and achieving a score of 75 on the user-centric xbench-DeepSearch benchmark, systematically outperforming all existing proprietary and open-source Deep Research agents [LINK]How modular design can simplify and scale intent classification in enterprise AI system
In AI-powered systems, understanding user intent is fundamental especially in the customer service domain where I operate. Yet across enterprise teams, intent recognition often happens in silos, each team building bespoke pipelines for different products, from troubleshooting assistants to chatbots and issue triage tools. This redundancy slows innovation and makes scaling a challenge. [LINK]
🔮 What else
“We’ve created an AI that thinks like the human brain”: This startup beats ChatGPT with 1,000 times fewer parameters
A tiny AI model built by a little-known startup is quietly outperforming tech giants like OpenAI and Anthropic—using just a fraction of the data and power. [LINK]LinkedIn Co-Founder Opens Up on the Reality of AI Job Loss