

JS
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@jsaintil_
probably on a walk || building @googleforhealth




🤯 You can now launch Claude Code sessions on your laptop *from your phone* This blew my mind the first time I tried it

Kith for On. Friday.

Today, we’re releasing a significant upgrade to our specialized reasoning mode, Gemini 3 Deep Think. Deep Think is built to drive practical applications, enabling researchers to interpret complex data and engineers to model physical systems through code. With the updated Deep Think, you can turn a sketch into a 3D-printable reality. Deep Think analyzes the drawing, builds the complex shape, and generates a file so you can create the physical object with 3D printing. This is rolling out now to Google AI Ultra subscribers. Select the "Deep Think" option in the tools menu to get started. Learn more here: goo.gle/3MoiifF

OpenAI and Anthropic are expanding into consulting roles as large enterprise customers struggle to deploy reliable AI agents out of the box. OpenAI is reportedly hiring hundreds of engineers to help clients integrate models like ChatGPT into real systems, tailoring them with business data and workflows. Its new platform, Frontier, highlights the complexity: agents must interface with internal tools, grasp context, and optimize behavior before users see results. Anthropic is also working closely with enterprise customers, while retailers like Fnac report needing help from AI21 Labs after OpenAI and Google agents failed on basic tasks like serial number handling.



The new trailer for the Michael Jackson biopic has been released. In theaters on April 24.

Today we’re excited to unveil a new generation of Segment Anything Models: 1️⃣ SAM 3 enables detecting, segmenting and tracking of objects across images and videos, now with short text phrases and exemplar prompts. 🔗 Learn more about SAM 3: go.meta.me/591040 2️⃣ SAM 3D brings the model collection into the 3rd dimension to enable precise reconstruction of 3D objects and people from a single 2D image. 🔗 Learn more about SAM 3D: go.meta.me/305985 These models offer innovative capabilities and unique tools for developers and researchers to create, experiment and uplevel media workflows.


Our TPUs are headed to space! Inspired by our history of moonshots, from quantum computing to autonomous driving, Project Suncatcher is exploring how we could one day build scalable ML compute systems in space, harnessing more of the sun’s power (which emits more power than 100 trillion times humanity’s total electricity production). Like any moonshot, it’s going to require us to solve a lot of complex engineering challenges. Early research shows our Trillium-generation TPUs (our tensor processing units, purpose-built for AI) survived without damage when tested in a particle accelerator to simulate low-earth orbit levels of radiation. However, significant challenges still remain like thermal management and on-orbit system reliability. More testing and breakthroughs will be needed as we count down to launch two prototype satellites with @planet by early 2027, our next milestone of many. Excited for us to be a part of all the innovation happening in (this) space!

Siemens Harlequin Multi-Colored Washing Machine (1998)
