Join us tomorrow at 6:30 PM UK time for a brilliant conversation with @flex4blox from @coinfund.
We discuss the great token reset, why many crypto tokens may not need to exist, on-chain finance, RWAs, stablecoins, AI and what could drive crypto’s next major inflection point.
People ask us all the time “where are all the crypto consumer use cases?” Trading and payments are the obvious answers.
Robinhood is a good example of who is capitalizing on the former and they are going all-in to move as much of their trading activity onchain as possible.
EXCLUSIVE: Robinhood is going to pay 7% on dollars to 27.7 million customers.
In this Interview Johann Kerbrat, their SVP of Crypto explains how it all works.
Robinhood Earn lives inside the main investing app. You can buy the USDG stablecoin in a few taps, and it gets deployed
Announcing our $130M Series A to build the Open Superintelligence Stack
Led by Radical Ventures, with NVIDIA, Intel Capital, Dell Capital, and existing investors
Train, deploy, and continuously improve your own models using our stack.
Own your intelligence.
Congrats to the @PrimeIntellect team on the raise! From Seed to Series A, you've made great progress building the infra enterprises need to own their AI stacks. Onward 🚀
“The dollar rail and the yield-bearing asset are splitting into two separate products. That's not a workaround. That's the market finding the actual architecture to maximize benefit and potential.”
Insights from Co-founder, MP & CIO @flex4blox. Two rails, one thesis, powered by
Stablecoins aren't the tell anymore. RWAs are.
Tokenized RWAs have grown ~5x since Jan 2025. Stablecoin supply is up only ~50% over the same window.
Here's why the yield is quietly moving to a different layer:
Pluralis-8B is done, the first pipeline-parallel training over WAN with our new Agora system. We maintained approximately 20% MFU throughout the run, with a completely dynamic pool of devices utilising networking speeds 100-1000x slower than a datacenter setup
Today, prime-rl gets a first-class Algorithms layer — the first step toward making it the most expressive RL codebase.
Six algorithms ship built-in: GRPO, MaxRL, OPD, OPSD, SFT, and ECHO.
Bringing your own algorithm is writing one file, not rewriting trainer internals.
Got a letter published in @TheEconomist this week. The Fable and Mythos shutdown worked because the model has an owner that could be told what to do. That is the problem. Centralization is a liability for anyone working with AI, and it will happen again whether by this government
.@jbrukh making some really salient points in @TheEconomist this week. This is a pivotal moment for AI, and awareness of ownership is crucial to creating a fair system that prioritizes consumer safety - and that doesn't mean fear mongering and power consolidation disguised as
Out of a comp set of 61 decentralized inference companies, just 6 are proposing to do inference by sharding models across consumer hardware, like Apple silicon.
There’s a lesson in that.
Scaling inference on small GPUs across slow internet is very hard, and may be infeasible
.@RobinhoodApp Chain just went live on mainnet.
It feels like a milestone day for the crypto industry, as financial giants launch products for the blockchain economy.
It's also a proud day for us at LI.FI to be a launch partner across the Robinhood stack.
From powering swaps
