Mickey McManus
16.8K posts

Mickey McManus
@mickeymcmanus
https://t.co/eSITsqW1qG Passions? https://t.co/8s5mxDMcU1, lifelong learning, biology & upward mobility for all @mickeymcmanus.bsky.social

shredding pixels, shifting shapes




Tobi Lutke explains what the VCs who passed on Shopify got wrong Tobi recounts pitching Shopify to VCs on Sand Hill Road a few years after founding Shopify. Investors passed because they thought the addressable market was too small. At the time, there were about 40,000-50,000 online stores, and even if Shopify captured 50% of the market, that still wouldn’t be a venture-scale business. When Tobi ran into the VC partner a few years ago, the partner asked Tobi what he missed (Shopify is valued at almost $100 billion today). Tobi explained: “You were actually correct, but what you didn’t realize was that Shopify was the solution to the very problem you identified. The reason there was only 40,000 online stores was because it was hard, expensive, and everyone who tried ran into all these brick walls of complexity, which Shopify, one after another, smoothed over and made simple to do.” Tobi believes this is a common mistake: “What a lot of free-market thinkers don’t understand is that between the demand and eventual supply lies friction. And I actually think that friction is probably the most potent force for shaping the planet that people just generally do not acknowledge… That was my theory when I turned my snowboard store into Shopify: there was a lot more people like me except there was too much friction which we needed to solve. And Shopify has proven out that every time we make the process simpler, there’s more consumption. At this point, we have a million merchants on Shopify, which is a mind-blowing number. So friction is a major component, and it’s something that software is uniquely good at reducing.” Video source: @danmartell (2019)








My thoughts on China, export controls and two possible futures darioamodei.com/on-deepseek-an…


Apparently the market is not too happy to see US AI supremacy in question by DeepSeek's R1 reasoning LLM. NASDAQ futures are down 1.77% and S&P 500 futures are off by 0.84% as I write this and news of DeepSeek continues to circulate. My thoughts on the situation: 1) We don't know how many actual GPUs were used by DeepSeek due to export restrictions. China could have massively understated them to create this exact impact: having people question US AI supremacy. 2) If we are to assume the $500M figure is accurate, that would indicate that DeepSeek has found a significantly more efficient path for training, fine tuning and inference 3) Such a situation would call into question CapEx on AI by mega caps and other companies, as results have been much less impressive (again, assuming DeepSeek actually has a much smaller budget, less GPUs in actuality vs stated amounts) If indeed DeepSeek has pulled off what seemed to be impossible with a much smaller amount of computing power, and specificially Nvidia GPUs, that would certainly have some major impacts. On the one hand, it would be excellent news for AI as a whole, as it would potentially usher in a much more sustainable era of resource utilization. It would also significantly lower the barrier to entry for smaller research groups to build their own models. On the other hand, it would be terrible news for the current monoliths like $NVDA, $META, $MSFT, $GOOGL and OpenAI as it would illustrate that enormous spend on GPUs and R&D has been grotesquely inefficient. It would also pressure data center CapEx and other planned spend as a lot of reconsideration would be needed. A lot of this is still very hypothetical, however, as we don't have any way to know what resources DeepSeek actually had when building R1. We can only take the information received and either parse it at face value or decide to add some healthy skepticism. After all, it is China. Export restrictions on technology have also been unevenly effective. Data center-grade GPUs would likely be quite easy to smuggle out in large quantity with rather small amounts of effort by would be smugglers to disguise them as lower value products, like generic gaming video cards or otherwise. We know the export restrictions placed on China have been defied repeatedly, and in large scale, to feed China's growing AI ambitions. There exists a rather large cache of Nvidia H100 GPUs in the country. Easily tens of thousands if not more. So there is reason to believe that China has much more than what they are 'supposed' to have based on these restrictions. As always I hope my thoughts are helpful. As the situation develops I'll add additional analysis. Until then, be skeptical. We don't know enough to make an informed judgment with credible information about what is actually going on.

I am no longer injecting my son's blood. I've upgraded to something else: total plasma exchange. Steps: 1. Take out all blood from body 2. Separate plasma from blood 3. Replace plasma with 5% albumin & IVIG Here's my bag of plasma. Who wants it? 🧵


@elder_plinius OMG! @elder_plinius !!!










