Charles Fine

@othman To understand better these drivers, read “Clockspeed: Winning Industry Control in the Age of Temporary Advantage” Perseus Books, 1998. All of these is predicted and the dynamics are laid out clearly. amazon.com/Clockspeed-Win…

GenAI poses a much deeper pickle for Google than I initially assumed... The last few weeks completely echo the time I was at Google in the early 2000's when we were up against Microsoft - except this time Google is on the receiving end. Looking back, we beat Microsoft not because we had better tech, but because we forced them to play on our terms AND at our "clockspeed." Many (myself included) were viewing Google's LLM problem as one of catching up with the technology - specifically OpenAI. It stands to reason that with all its incredible talent, infrastructure, users and data, Google can and will catch up to OpenAI and likely be able to build better technology. But I'm realizing that's likely to be wrong. The debacle last week (and even more, Google's response) puts a point on the real and somewhat unsolvable problem Google faces now. Google isn't going to lose to OpenAI tomorrow - it lost to it over the last ten years. The problem that Google faces today relative to the likes of OpenAI and Perplexity is very similar to what we did to Microsoft 20 years ago. What ChatGPT in particular has made us realize is that many of the tasks that we have so far labeled "search" and where we click on blue links are really tasks of research, analysis and decision-making. We viewed Google as the way to complete these tasks because 20 years ago, Google solved the most important challenge in that workflow, which was to bring all the world's information to within one click in the form of a search engine. Over these 20 years, Google built and has been harvesting one of the most profitable business models in history (remember that we used to talk with similar admiration of the operating system + desktop productivity biz model). The problem now, is that ChatGPT, Perplexity and others have shown us that A LOT of the tasks we used to think of as search engine-based workflows are even better served through an exchange with this new piece of technological magic (similarly to how PageRank made Google Search feel magical 25 years ago). The real problem for Google is one of clockspeed. Google all of a sudden has its ass on fire and is trying to innovate into the future. But, that innovation now has to happen at the heart of its business. OpenAI doesn't care about messing up an ads business model - they can just iterate with a product/quality purity that is impossible for Google to get. Google isn't going to lose to OpenAI in the coming few years. It has lost over the past decade, when it could have evolved/iterated AI into its model at its success-encumbered clockspeed. Now that the game is on, but on a startup clockspeed, there is no chance for Google to catch up and even less win this next cycle. This problem compounds over time, because every single day that goes by, we are all feeding OpenAI our usage patterns, feedback, custom GPTs, integrations, etc... At this stage, there is no way for Google to shift its clockspeed unless it is willing to give the middle finger to the market and its customers for a while and say sorry, the future beckons - feel free to opt out and invest your money elsewhere. The sad part is that Google actually has the wherewithal to do that, but few incumbents are ever able to pull it off. Meta/Zuck have done this several times (mobile transition, VR bet and now AI), so we know it's possible, but it is exceedingly unlikely for that to happen. People often think that's only possible because Mark is the founder, but I think it's because of his posture between risk and opportunity. I'll close this with the phrase that I think captures this posture: Our missed opportunities will cost us more than our mistakes

Roberto, Please don’t go too far away.

@SwatiGu88926544 Welcome to MIT!

Thrilled to share that I’ll join OR/Stats group at MIT/Sloan in Summer 2023! I'll always be grateful to ISyE Georgia Tech for providing the most supportive environment to learn the art of professing and kickstarting my career. Looking forward to the new adventures at MIT!

@robertswinney Congratulations!

Interesting book list

Another set of SMART skills. Worthwhile.

Great lessons in platform economics! @melatinungsari

@MelanieZaber @threadreaderapp unroll

PhD students often ask me about the culture at RAND--how is it different from academia, other think tanks, and industry? Caveating that I've only interviewed at these other places...my assessment, triangulated with colleagues:

The future of academic writing?

Great restaurant suggestions in Boston!

Thanks, @ktulrich, for the steer. Happy cycling!

No matter what skills you bring to the table, one variable always creates complexity: people.

Get your free ebook on Amazon for 24h only starting June 30! Visit amazon.com/dp/B0B28Y8DY3 why? Because the job is easy, the people are not!! @clockspd @ASBmba @seanoferguson

@melatinungsari mitpress.mit.edu/books/faster-s…

Since my bar now resides at the earth’s core - lowest possible point - whoever can credibly and intelligently claim to be able to solve our Klang Valley traffic issues wins my vote for the next GE

Operations Practicum on Oil Palm Sustainability: Action Learning on steroids @ASBmba youtu.be/tSa_jRYouXA

Great teaching case!

Great (classic) cases on e-commerce. Many still relevant.

Much to learn here.

@TessaRDavis Thanks! Super helpful!

Before we get started, you might be wondering why you need advanced search? Your main feed just shows what's being posted NOW. But there's absolute gold in the old tweets from experts you love + big accounts you follow. Lots of learning just waiting there for us. Here's how:

The most powerful feature that Twitter has: Advanced search Until recently I hadn't even heard of it, but now I use it all the time. Here are 6 twitter advanced search features that will revolutionise the way you search for what to read: 🧵👇

DEI ⁦@ASBmba⁩ linkedin.com/posts/charles-…