David Dennis
2K posts

David Dennis
@davidpdennis
Product marketing advisor @eigencloud. Prev @offchainlabs @azure


When you run the same AI model with the same inputs twice, you'd expect the same output. But modern GPU execution is optimised for speed, not fixed ordering, and existing determinism tools do not solve this across hardware. Today we're changing that. blog.gensyn.ai/ree/

With Episode 6 of The Coordinate, we are taking the podcast to a whole new level by kicking off a series on post-AGI economics. Recently, there has been a sharp rise in discussions around agents engaging in commercial activity, with some even projecting that agentic commerce could eventually eclipse the human-based commerce we know today. But many of these conversations stop short of exploring the deeper question: how do markets need to be designed or redesigned to accommodate our silicon-based counterparts? To unpack the nuances of agentic commerce and the market design it will require, @sreeramkannan and I had the wonderful opportunity to sit down with the one and only @skominers, Professor at @HarvardHBS and Research Partner at @a16z. What began as a planned 90-minute recording session turned into a 3 hour conversation in aggregate, so we decided to split the episode into two parts. Today, we’re releasing Part 1. In part 1, we cover: • what market design is in plain English • why prices alone are often not enough • how Uber, Airbnb, food delivery, and auctions reveal deeper market structure • stable matching and the medical residency match • privacy, transparency, and information in markets • why crypto and AI could transform agentic commerce If you’re curious about market design and the future of agentic commerce, this episode is for you. This is Part 1 of Episode 6 of TheCoordinate. Hope you enjoy it! ----------------------------------- Timestamps 0:22 Why this episode matters: economics, market design, and software agents 1:52 What market design is in plain English 5:13 Why prices alone are not enough 8:33 Uber as a market design case study 16:16 Information, pricing, and why markets need infrastructure 22:06 Opting in and out of markets: Airbnb and One Fine Stay 27:25 What are the goals of market design? Sustainability, fairness, and social value 33:26 Stable matching and the medical residency match 41:48 Privacy, transparency, and information revelation in markets 51:54 Crypto, AI agents, and the future of agentic commerce



Earlier today, a user attempted to buy AAVE using $50M USDT through the Aave interface. Given the unusually large size of the single order, the Aave interface, like most trading interfaces, warned the user about extraordinary slippage and required confirmation via a checkbox. The user confirmed the warning on their mobile device and proceeded with the swap, accepting the high slippage, which ultimately resulted in receiving only 324 AAVE in return. The transaction could not be moved forward without the user explicitly accepting the risk through the confirmation checkbox. The CoW Swap routers functioned as intended, and the integration followed standard industry practices. However, while the user was able to proceed with the swap, the final outcome was clearly far from optimal. Events like this do occur in DeFi, but the scale of this transaction was significantly larger than what is typically seen in the space. We sympathize with the user and will try to make a contact with the user and we will return $600K in fees collected from the transaction. The key takeaway is that while DeFi should remain open and permissionless, allowing users to perform transactions freely, there are additional guardrails the industry can build to better protect users. Our team will be investigating ways to improve these safeguards going forward.



Whoever figures out the DCF model that replaces risk free rate with inference / token will get the next Nobel prize in econ

$EIGEN is now available to trade on Robinhood Crypto.











When modern technology started, the people who built it believed in something. From the cypherpunks, to Tim may, to Eric hughes and beyond. Even in the later tech revolution of the 2010s, people still believed, working in tech still felt powerful, there was some sense of purpose. It is hard to quantify human purpose, yet we can feel it in certain spaces. Cultural gatherings, musical performances, such moments where a room full of strangers become something more than just the sum of its parts. It is, ultimately, a feeling of belonging, and it almost always comes from the act of sharing something together; a sense that we are all reaching for the same thing even if we can’t perfectly articulate what it is. The tech world of today has no concept of sharing in that sense as there is no common theme that everyone stands for. And where there are themes, they are hyper‑specific, top‑down, and oftentimes completely unrelatable to people’s actual lives. The narratives are corporate and the missions read like marketing copy run through LLM analyses. The values are whatever the quarterly strategy demands them to be and shift depending on who is in charge. People, naturally, using an innately human intuititon, wether they admit it or not, can feel the difference between a mission that was born from conviction and one that was assembled in a boardroom, and today, more people are realizing that most of what they see is the latter. And so what we are left with is a technology industry that is more powerful than it has ever been, and more empty than it has ever felt. The tools are extraordinary but the purpose behind them is missing. People don’t need another platform or protocol, they genuinely need a reason to care for them. They need to feel that what they’re building is connected to something that outlasts the finite. Technology needs a value system again. Lets give them one.




