Jason Messinger

Interesting Development. I left iRobot not long after he joined for unrelated reasons. When I first started at iRobot on R&D projects it was kind of a dream. Working on products that would be new product lines (not vacs or mops) and using new tech we were trailblazing on where I was able to be listed on a few patents. It was exciting, and a dream job. But over the following few years I watched as these R&D efforts were killed, and/or resource hobbled until it felt like iRobot decided to focus on being just a vacuum company more than being a robotics company. That's just the opinion I had based on my feelings. It would be interesting to know what sort of R&D was underway after I left. Roombas are great products. Best in class I think. But you gotta take risks and innovate to stay that way.

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Food Waste is a big problem - in your kitchen and for the planet. Check out this latest article in Fast Company about how Mill is making a real difference!

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Great insights on the future of robotics shared by Rodney Brooks in this article. A little bit of realism for the hype surrounding LLMs in robotics - realistic expectations are important...

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Learn more about why I joined COS, the impact of OSF, and what I am most excited for in advancing open science!

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Very nice article on Moxie! #moxierobot

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Here is another great example of how Amazon is applying #AI to better serve our customers. The Package Decision Engine, an AI model developed by Amazon and trained on millions of data points, helps make sure we’re not only delivering customer orders safely, but that we’re using the least amount of packaging possible. Next time you receive a package, know that AI likely played a part. https://lnkd.in/eNnJEYVi

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Thanks Cora Yang for sharing your thoughts and helping educators build confidence to integrate new technologies into their curriculum!

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The #IoTTechExpo was another reason to showcase my terrible photography and framing skills. And to meet old friends working on safe and scalable environments for connected products. Key takeaways: AI and ML were notable buzzwords. How does that actually safely lay over an existing tech stack (and hardware stack) remains to be demonstrated. How do you test, from a systems perspective, if a connected ecosystem actually works as intended? (Without necessarily having to cycle your devices for countless hours)? Everybody has a platform. This feels counterintuitive to me. How do we change that? And how do innovators come up with architecting an ecosystem that doesn’t become a burden or roadblock to deploying new devices or features later down the road? #IoT #TradeshowLife

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I have always believed Edge computing is being slept on regarding efficient and sustainable AI. It is great to see that there are people like Tayo Adesanya who not only think so but are doing something to leverage it

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It's getting hard to keep up with the almost daily updates to Artificial intelligence models that could accelerate the training of robots for Logistics applications. These innovations promise significant improvements in AI-driven logistics, supply chain management, and autonomous vehicle operations. Well worth a read.

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We are announcing the availability of Anthropic’s Claude 3 Opus on Amazon Bedrock, the most intelligent Claude 3 model, with best-in-market performance on highly complex tasks. It can navigate open-ended prompts and sight-unseen scenarios with remarkable fluency and human-like understanding, leading the frontier of general intelligence.

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https://lnkd.in/gDx_5bc5 I wholeheartedly agree, Mr. Khosla. Continual learning is crucial, especially as the future evolves rapidly. Embracing a 'Learn to Learn' mindset enables us to capitalize on the extraordinary possibilities that AI brings to enhance our lives and open new doors of opportunity.

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#Nvidia stands out in a remarkable way when it comes to market cap! per employee is an astounding $102 million, dwarfing other tech giants like Apple and Meta, which stand at $19 million each. Yes tech is important, yes innovation is critical but all of this comes from a great company culture and ability to attract, retain and engage talent! it’s clear that the future belongs to those who can blend innovation with operational efficiency. Nvidia's journey is a testament to the power of strategic focus and the immense potential that lies within a well-leveraged, talented workforce. #Innovation #TechLeadership #WorkforceEfficiency #Nvidia #MarketCap #TechIndustry

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If you are a strong believer about #llms for visual understanding as we are, let talk. We have several key and leadership positions available. #deeplearning #artificialintelligence #machinelearning #generativeai #ssl #genai

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The memory discussion has been ongoing in the LLM space. In this context, "memory" essentially describes how a large language model, like Chat GPT, might "remember" details about you so you don't have to spell them out every time. Some real pros and cons to think through here. Convenient, sure. But like anything else online, the convenience comes with a tradeoff—namely, privacy. I'm very curious to dig into this more. Not clear to me how Open AI has implemented it. Where is the data stored relative to the LLM? How is it fed in relative to the context of the prompt? etc. Alex Capecelatro, Ron Callis Jr — have either of you read up on it yet? https://lnkd.in/gYxUXh_r

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Good quick summary of why Silicon valley works by Sudhir Kadam . See full 1 hr YouTube video link at the bottom. Thanks Sudhir for sharing the article link that I had otherwise missed in my feed. #innovation #innovation #startup #entrepreneur #markets

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Radical Candor: "If you want to know how a company makes it all the way to market with such an out-of-touch, poorly performing product, the Times interviewed "23 current and former employees, advisers and investors," and their anecdotes shed a lot of light on how this can happen. The two founders apparently "preferred positivity over criticism, leading them to disregard warnings about the AI Pin’s poor battery life and power consumption. A senior software engineer was dismissed after raising questions about the product, they said, while others left out of frustration." After that software engineer was fired for questioning if the AI pin would be ready for launch, the report describes a staff meeting where the founders "said the employee had violated policy by talking negatively about Humane." It's hard to make a good product if you can't honestly talk about the negatives and positives for fear of retaliation. The outside world is not subject to the founders' preferences for "positivity," though. After apparently not being interested in honest employee feedback during development, once the product launched, Bongiorno called the team together and said the company would have to "lean into painful feedback" and called the reviews “a gift that we’ve been given.” The problem with this thinking is that, at this point, the product had launched and received the most attention it would ever get, and nearly all of that was negative. Maybe part of the issue is that the company didn't have a head of marketing until after launch, despite employees "repeatedly asking" for the role to be filled."

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With Wizerr AI, as a vertical AI solution fine-tuned for the electronics industry and an early adopter of NVIDIA NIMs, enterprises can maximize their AI investments. Using accelerated infrastructure with NVIDIA NIMs, and an industry specific model, 3X Generative AI tokens could be produced with the same compute resources - boostings efficiency and allowing enterprises to get the most out of their AI infrastructure. Let the AI Games Begin!

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Is AI making product managers obsolete? Brad Eiben reveals the truth about the future of our profession. In our conversation, Brad Eiben, the Executive Director for the MS Product Management program at Carnegie Mellon University - Tepper School of Business, sheds light on the impact of AI on product management practices. -> Efficiency Through Automation. AI is revolutionizing how product managers work by automating routine tasks, allowing them to focus on high-value strategic activities. This shift is enabling teams to be more productive and creative. -> Human-Centered Skills Remain Irreplaceable. While AI can handle many technical tasks, the human elements of product management—like understanding user needs and crafting a compelling vision—are irreplaceable. Product managers must continue to hone these skills to stay relevant and effective. -> Strategic Organizational Change. Successful AI integration requires more than just adopting new tools. It demands a cultural, organizational, and process shift within organizations, driven by clear leadership and a willingness to experiment. I could not agree more with Brad. Full interview: https://lnkd.in/gzRFzhHq #PMtransformation #PMproductivity #CPO

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