NEW: @Chainlink launches Fulcrum, a cross-chain collateral and financing platform connecting banks, asset managers and sovereign wealth funds to onchain markets, enabling 24/7 collateral mobilization and intraday financing across public and private blockchains.

Tokenizing a security is just the first step, the true value is unlocked when institutions can access 24/7 liquidity without selling assets. Chainlink Fulcrum unlocks this at scale, connecting tokenized securities to financing venues across any chain.

.@AndrewYang reveals his path to an independent president by 2029, starting with just 3 senators holding the balance of power: "What if I were to tell you that there could be three independent US senators in January of 2027? That could be a fulcrum." "You could have a 49, 49 Senate, and then two in the middle or even three in the middle. And the three senators in the middle form a fulcrum of common sense." "There are two US Senate candidates right now in Idaho and South Dakota that are running as independents, and the Democrats dropped out of the race in both of those states." "You could have an independent president and cabinet and fulcrum in the Senate by beginning of 2029, if everything were to go incredibly well." "50% of Americans say they're independent. Democrats and Republicans are both at around 25% each, and neither major party is going to solve any of the most pressing problems of our time." "It's not gonna be the Democratic Party. It's not gonna be the Republican Party. So it's gotta be Americans rising up and saying, 'It's not left or right, but forward.'" @Fwd_Party

As discussed w @bgurley two yrs ago - a personal, super assistant in every American’s pocket w perfect memory & understanding of my life - my likes & dislikes - able to work non stop & achieve almost anything is now inevitable. It is a huge gift to humanity. It will 10x all of us, give us more magic experiences & save time from drudgery to spend w family & friends. Many internet aggregators (insurance, travel, shopping) will resist but resistance is futile. AI agents aggregate the world of options on the fly - the fulcrum of value delivery has forever shifted. Model capability has unlocked this moment just as it did for coding. Adapt or die. 🤖🚀@BG2Pod

DC Deep Tech Week has officially wrapped. Across six days, the program drew 3,691 unique registered attendees—including 695 founders—to 26 public events throughout Washington, DC and Northern Virginia. Twenty-eight startups and 47 organizations presented across a week of founder talks, technical presentations, panels, demonstrations, screenings, roundtables, showcases, startup crawls and community gatherings. Thank you to the hosts, organizing partners, venues and sponsors who made the week possible: 8090 Industries; Air Force Research Laboratory (@AFResearchLab); AKULAR (@AKULAR_AR); Arlington Economic Development (@AEDBizInvest); Atypical Ventures (@atypicalvc); Auron Solutions; Brave Capital (@brave_cap); Cornell University (@Cornell); Fulcrum Venture Group; HAUS (@deeptechagency); and Hyperstition Incorporated; JBG SMITH (@jbgsmith); Johns Hopkins University Applied Physics Laboratory (@JHUAPL); KdT Ventures (@KdT_Ventures); Level Five VC (@LevelFiveVC); National Innovation Quarter (@NationalIQ); New Vista Capital (@NewVistaCap); Point72 Ventures (@p72vc); Ramification Laboratories; Red Cell Partners (@RedCellPartners); Squadra Ventures (@squadra_vc); and SRI International (@SRI_Intl); Station Alpha; The Capital Factory (@CapitalFactory); The Nuclear Company (@TheNuclearCo); VC in DC; Veteran Ventures (@VenturesVeteran); Virtus Innovation Center; WIseCost; Armored Fresh; Statecraft (@statecraft_labs); and Anomalous Heat LLC. The energy in DC was incredible - there are people shoulder to the wheel at the highest leverage positions in the world accelerating a science fiction future into reality. See you next year at DC Deep Tech Week 2027, mid September.

FM Speaker Highlight: @0xtracy Co-Founder & CTO of Fond, an AI-powered platform that helps companies understand how they appear across LLMs, AI search, and agent-driven discovery. A UC Berkeley EECS graduate, she previously served as founding engineer at Megaphone (acq. Fulcrum) and staff engineer at Ava Labs. We can't wait to welcome her to the FM26 stage. FUTUREMODE 2026 📍 Taipei Expo Dome | Sep 4–6, 2026 🌐 🏟 Early Bird Till 7/1 Local - International -

Behind the MiMo API Price Reduction: The deepest price cut, up to 99%, is for Input (Cache Hit). The core reason is our inference framework now supports hierarchical KV cache optimization for SWA. Production inference engine tests show this optimization increases cached token capacity by 5x, equivalent to an 80% reduction in caching costs. Combined with Cache Read Overlap among multiple Full Attention modules in the Hybrid model, actual costs are further reduced. Prices for Input (Cache Miss) and Output are also reduced by 60%-80%. This mainly benefits from the extreme 1:7 Full:SWA sparsity ratio brought by the model architecture (the prefill compute of the 70-layer MiMo-V2.5-Pro roughly equals a 10-layer GQA model). This kept our original inference costs well below the industry average, naturally leaving a 2x-3x profit margin in pricing. This price adjustment simply reflects our decision to pass these structural cost efficiencies directly to developers. Operating at these newly reduced API prices, our production inference engine is running at near full capacity, and we can still essentially break even. We previously advised LLM companies not to "blindly cut prices" precisely because very few model architectures and inference optimizations can keep API costs from running at a loss. If more architectures that save compute and KV cache emerge, along with better inference Infra to drive down API costs, this will form an excellent virtuous cycle in the industry. More crucially, affordable, high-performance model APIs will drive real, sustained, and at-scale inference demand. This upstream demand pulls forward the development of the entire AI infrastructure chain—including chips, servers, optical transceivers, PCBs, liquid cooling, power, energy storage, and data centers—serving as a strategic fulcrum for a systemic revaluation of AI hardware. In the long run, this injects more affordable and accessible compute into both training and inference pipelines, accelerating the parallel evolution of global AGI across multiple regions and technical routes. For more technical details, we will release a detailed Blog post later.