Venkat Venkatraman (@nvenkatraman) 's Twitter Profile
Venkat Venkatraman

@nvenkatraman

David J. McGrath Jr. Professor of Management at Boston University Questrom School of Business; Author of The Digital Matrix, 2017

ID: 65701942

linkhttp://thedigitalmatrixbook.com calendar_today14-08-2009 18:35:53

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nick kokonas (@nickkokonas) 's Twitter Profile Photo

Thoughts on AI (warning: long thread). I’ve been formulating these ideas for a long time…. not months, decades. But only recently has the acceleration made the immediacy of them relevant to almost everyone. They are also very incomplete. But here goes.

Alex Vacca (@itsalexvacca) 's Twitter Profile Photo

RT the first tweet if you found this thread valuable. Follow me Alex Vacca for more threads on outbound and GTM strategy, AI-powered sales systems, and how to build profitable businesses that don't depend on you. I share what worked (and what didn't) in real time.

OpenAI Newsroom (@openainewsroom) 's Twitter Profile Photo

This page is temporarily down due to a court order following a trademark complaint from iyO about our use of the name “io.” We don’t agree with the complaint and are reviewing our options. openai.com/sam-and-jony/

The Humanoid Hub (@thehumanoidhub) 's Twitter Profile Photo

Google DeepMind announces Gemini Robotics On-Device - an efficient VLA model optimized to run locally with low-latency inference. It enables general-purpose dexterity, adapts to new tasks or robot hardware with fewer than 100 demos.

Jeff Dean (@jeffdean) 's Twitter Profile Photo

Building on more than 10 years of robotics research and engineering at Google DeepMind, Google Research and Google AI, we're delighted to announce our Gemini Robotics On-Device system. A really capable vision-language-action model that can run entirely without network access. ⬇️

Venkat Venkatraman (@nvenkatraman) 's Twitter Profile Photo

I like the logic of context engineering that focuses on the specific situation and allows the users to be more precise about the instructions and goals. It is more about personalization and customization than generalization. I think it moves us closer to extracting value from

Steve Jurvetson (@futurejurvetson) 's Twitter Profile Photo

Today is the 30-year anniversary of my venture capital career. My younger self would have found that hard to fathom. Reflecting back, there was a simple algorithm embedded in my investment strategy that has made it all the more exciting and engaging over time — I look for

Balaji (@balajis) 's Twitter Profile Photo

Yes. A few miscellaneous thoughts. (1) First, the new bottleneck on AI is prompting and verifying. Since AI does tasks middle-to-middle, not end-to-end. So business spend migrates towards the edges of prompting and verifying, even as AI speeds up the middle. (2) Second, AI

Venkat Venkatraman (@nvenkatraman) 's Twitter Profile Photo

Why is xAI not folded into Tesla and SpaceX and others belonging to the larger family to create a modern era conglomerate with sophisticated mechanisms for sharing progress and leveraging complementary strengths? Would that not allow for better balancing of costs and capital

Venkat Venkatraman (@nvenkatraman) 's Twitter Profile Photo

Create a new age conglomerate folding the competencies of all the companies under one umbrella to show the power of economies of expertise and speed that could never be matched by other corporate forms. We need a new framing of what a corporation is for the AI age and this can be

Venkat Venkatraman (@nvenkatraman) 's Twitter Profile Photo

Have we trained managers to be those that can manage AI agents? That’s the challenge today in most companies and business schools.