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Completely agree with this take….
The exchanges that treated compliance as infrastructure, not friction, are about to have their moment.
@krakenfx is the perfect example of a tier 1 exchange that has occasionally sacrificed speed for security and compliance. In the next phase of crypto, that trade-off becomes the biggest advantage.
When the largest opportunities need a compliant path into America, the companies that built the rails properly get to collect the tolls 🤷🏻♂️
this actually makes a ton of sense
for @HyperliquidX to function properly in the U.S., Jeff would need to find a suitable partner who understands HL but is also fully compliant
Kraken acquired NinjaTrader and Bitnomial recently, & with both of those acquisitions Kraken's parent company Payward has all of the CFTC licenses FCM+DCM+DCO
Hyperliquid already has existing infrastructure to support something like this with HIP-3, so Kraken could just be another integration similar to what @tradexyz has done for perpetual futures on stocks
@arjunsethi has been very vocal about playing positive sum games @ Kraken, definitely most underrated out of the existing CEXs in the US & this would be a huge chess move in gaining mindshare and adding a substantial line to their business
will be interesting to see how this plays out, because if true could be the beginning of other moves as well as they've been very aggressive with the acquisitions, & Payward has all the licenses across the financial stack: prediction markets, futures, & options
I know I've reposted this before, but it's worth re-emphasizing.
If you want to get good at using AI, GET GOOD AT THE THING YOU'RE USING IT FOR
This is a great illustration of why:
Just had an epiphany: C++ may see another comeback thanks to agentic coding. Historically, you had to pay for its performance and ecosystem with a productivity and DX tax: hpp/cpp sync, CMake plumbing, serialization boilerplate. AI absorbs much of that ceremony. Not bad.
Almost every single time I released something in my career, I see people saying: you are clueless. You don't understand the space. You don't know what I am doing.
In the early days of the Turso Cloud, there was this guy here that would every now and they remark that "Turso keeps building the wrong thing", always followed by an explanation of what SQLite *IS*, what is good at, what is not good at, how people use it, etc. Turso now has almost one signup every 5 minutes, and 700,000 databases were created in our cloud this week.
On the rewrite of SQLite itself, the common accusation was that we didn't understand that people use SQLite because of its reliability, and any rewrite would fail because it had no access to their test suite. We took Turso out of beta last week and power many production users already.
Before that, it was Scylla, a rewrite of Cassandra. We were roasted by many, who said that we were morons who didn't understand that Cassandra was I/O bound, so any improvements in the CPU architecture were pointless. Scylla was 10x faster than Cassandra in real life.
My first experience of that was when at Red Hat we patched QEMU to be the virtualization layer for the device abstraction for the KVM Hypervisor. I was 19 at the time, and being part of the team I submitted a talk to a local conference, who rejected me saying that QEMU was an emulator, and I didn't even seen to understand the different between virtualization and emulation if I was conflating the two.
The common thread in all of those is always the same: people getting dead set in their ways, always looking at the world as it is, completely unable to understand that if you just tweak things, most things can be very adaptable. Things can reach new heights. They can be used in different ways.
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Love GPT 5.6 Sol improved UX for subagents. Instead of spawning workers with some context summary, you now get a context fork and top orchestration via message passing; all without polluting the main context window
Or… what if we gave you $100 in Codex credits if you tell us what you love about GPT-5.6 Sol or why you switched?
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