George Lawton

I recently spoke with Jeffrey Emanuel @doodlestein who is widely attributed with catalyzing the recent $2 trillion dollar market correction in the wake of DeeSpeek. Lots of additional context on AI valuations. diginomica.com/jeffrey-emanue…

@nateliason book on the technology and psychology behind the crypto boom is a cautionary tale and manual for best practices. Here is my take on it. diginomica.com/book-review-ho…

OpenAI CEO @sama wants to spend $7 trillion on an AI chip maximizer that promises to scale AI faster. How about we #acceleratetrust instead? Here are some reasons why accelerating trust frameworks may scale AI even quicker. diginomica.com/sam-altman-wan…

@techczech @daniel_271828 I think the more cautious voices are talking about the more agentic and autonomous swarm implications of systems of systems that we don't understand yet, and we mostly haven't seen. The more enthusiastic voices just consider the new tools search on steroids.

@daniel_271828 Just like with any phenomenon, we know exactly how LLMs work at some level of abstraction/control and not at all at others. Much of the debate about what we do and don't understand is rarely talking about the same level of abstraction.

Yann LeCun should lose (even more) credibility & good-faith points for this post - *no one* knows how specific large, trained AI models (eg GPT-4) work on a mechanistic level. You don’t know how, I don’t know how, those who trained GPT-4 don’t know, and Yann doesn’t know how. What he’s doing here is dishonestly implying he (& those who trained GPT-4, etc) do know how. If he wants to argue that mechanistic understanding is unnecessary, he can argue that. He could claim understating of the training process itself (without really understanding the finished product) is sufficient. Many researchers would disagree, but there’s at least a plausible good-faith debate there. But he’s not doing that. Instead, he’s using his position of status to try to shut down that debate by implying his would-be debate partners are simply ignorant. Fact is, *everyone* in machine learning knows that we don’t have mechanistic understanding of these models. His comment here won’t change their minds. So I can only assume he’s trying to mislead the public & policymakers about the state of scientific understanding on this issue, as well as paint those who want to regulate this technology as more ignorant than they are.

It's tempting to gloss over the epic significance of NIST's recent call for help on setting AI responsibility, safety, and trust metrics and standards. In this post, I explain why the new NIST forum will shape the future of trustworthy AI. diginomica.com/nist-responsib…

Just wrote this piece on the new US Copyright Request for Comments along with my letter to them. Please feel free to chime in with additional comments to them through October 15th if you feel inspired. diginomica.com/important-deve…

Twitter rebranding - why social media is the wrong metric to evaluate the X factor I think the X needs a different metric: diginomica.com/twitter-rebran…

How generative AI could enable the worlds largest heist or opportunity depending on your viewpoint. diginomica.com/how-generative…

AI hallucinations makes sense no sense from a practical perspective, but that’s increasingly a reality we need to learn to navigate with the rise of generative AI and Large Language Models. diginomica.com/many-types-ai-…

I think every journalist is wondering how #generativeai is either going to take our jobs or give us the opportunity to explore more interesting questions and have more fun. Here is my first take. techtarget.com/searchenterpri…

World-scale digital twins are now a thing, thanks to Maxar and ESRI. Looking forward to what kind of new eco-sustainable edutainment experiences that world-scale digital twins are going to unlock. diginomica.com/new-services-a…

My story on The history of the metaverse just came out. Even comes with a groovy timeline that is sure to be a staple on many office walls. #IndustrialMetaverse #Metaverse #DigitalTwins techtarget.com/searchcio/tip/…

Recently sat down with @NeikeCedrik CEO of @siemenssoftware on their progress and plans for the industrial metaverse. venturebeat.com/ai/how-siemens…

Recently sat down with Siemens Digital Industries CEO on the progress and future of the industrial metaverse. linkedin.com/posts/activity…

Here’s the battery for the all-electric Mitsu-Bachi F110e race car. Actively cooled while it whirls through 10 laps of 1.5 minutes each. I understand a #RaspberryPi is the #edge device for the #Cumulocity #IoT platform that helps manage + optimize the vehicle. #ERAseries2022

A few days in #Paris and joining a press, influencer and analyst @SoftwareAG hosted dinner, together with @dhinchcliffe, @glawton, and others. In perspective, @ERAChampionship the world’s first all-electric #NextGenRacing at @CircuitZolder #EV #Sustainability #IoT #AI #SDGs #5G

Today's most popular #IoT Story @HaroldSinnott: 'A few days in #Paris and joining a press, influencer and analyst @SoftwareAG hosted dinner, together with @dhinchcliffe, @glawton, and others. In perspective, @ERAChampio… , see more tweetedtimes.com/v/18721?s=tnp

So, I get off the train in #Brussels. Out of the corner of my eye I see someone that looks just like my old friend + industry colleague @eric_kavanagh. I go over. It’s him. He asks why I’m am here. I say @SoftwareAG event. He says: “Me too!” It’s game on for #DRAseries2022.

It was great to connect with @SoftwareAG’s #CMO @DawnColossi today in #Belgium. We are at the famous @CircuitZolder race track (shown) to see their fascinating work in the #digitaltransformation of racing using #IoT + #analytics on #EV race cars. #ERAseries2022 #NextGenRacing

Find out how the autonomous enterprise goes beyond enterprise automation in IT, business processes, and warehouses in this deep dive. techtarget.com/searchcio/feat…