21, ambitious for evm, monad and compilers, vms, databases, computer science, theoretical physics, plus traveling the world
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who said software developers cannot be funny?
the funniest and smartest guy i know @_jhunsaker ❤️
he has rick sanchez voice and behaves similar 😂
btw he co-founded @monad and @category_xyz ✌️
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berzan retweeted
I can’t stress enough how little an idea matters compared to the agency of the people executing the idea.
I have had the privilege of knowing and sometimes even working with some of the most successful people (by various metrics).
The difference between mediocre and excellent work and outcomes is predominantly one of agency.
In practice this means: they dont wait for things to happen to them they go out and make things happen for them.
They don’t wait for someone else to do something, for someone to teach them, for someone to give them the path, etc. They just go out and find a way to do it.
I think the single biggest superpower these people have is the realization/belief that the world around them is completely mutable. Most everything that happens is because a person made it happen.
I used to tell people to look around the room you’re sitting in. Look at everything. Every noun. It almost all exists because a person willed it into existence. Nothing is stopping you from doing the same.
I see people online all the time dismissing someone else’s success because “I had that idea first” or whatever. I mean… yeah? If so then the difference is… you. So a bit of a self own whenever I hear that.
Number one tip: act with agency.
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a delightful read about low level optimizations to construct time data benjoffe.com/fast-time-of-da…
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monad will almost have 32x cheaper storage, for the dapps taking advantage of mip-8
Update on MIP-8 rollout
As a reminder, MIP-8 introduces page-aware storage, reorganizing the Merkle trie to assign nearby slots to the same disk page. This is a huge efficiency gain since all db lookups are in units of pages. It is currently super inefficient that nearby slots hash to different disk pages, and MIP-8 solves this problem.
Since the database structure is changing, nodes need to temporarily maintain both the old (slot-based) and new (page-based) databases in parallel, then at a later point need to phase out the old database.
Software upgrades are planned to execute this transition in phases:
- at the start of Phase A, both databases are maintained
- at the start of Phase B, the page-based (new) database becomes the primary one (i.e. the node fails if the page-based database is not running), and MIP-8 takes effect
- at the start of Phase C, the node stops maintaining the slot-based (old) database
Phase A was implemented via v0.15.2. A supermajority of both testnet and mainnet nodes are on this now.
Phase B is being implemented in v0.16.0 for testnet, gated by a specific timestamp. A supermajority of testnet nodes are on this now, with the timestamp set for 2026-08-12 at 14:30 UTC. After this point in time, MIP-8 will be in effect (lower gas costs for multiple state accesses touching the same page) on testnet.
This post describes the migration: docs.monad.xyz/node-ops/upgr…
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berzan retweeted
看着现在morpho, aave的崛起，以及u卡的繁荣，读到当年支付宝和余额宝的故事，忍不住开始刻舟求剑
支付宝从支付到生息，链上从生息到消费，反着来但都最终合二为一
从今年开始的新基准：钱在花出去的前一秒中都应该在链上账户里生息
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very interesting 🙌
We are pleased to share that Taalas has agreed to join AMD.
We built Taalas to rethink AI inference from the ground up: hardware designed around the model, rather than the other way around. The result is the world's fastest and most cost-effective inference silicon.
Joining AMD gives us the scale, engineering resources, and global reach to bring that work to the world – and to accelerate what comes after it.
We are also excited to build on AMD's long-standing presence in Canada and its continued commitment to the country's AI ecosystem. Many of us grew up at AMD Canada, and are looking forward to coming home.
We are proud of what this team has built, and even more excited about what comes next.
ir.amd.com/news-events/press…
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big news, amd acquired taalas (the company who are embedding llms into chips, super optimizing inference 10k+ tps)
the only cons i can think are if the model you developed a chip for becomes outdated, you still have a fast and efficient chip but not sota
news.ycombinator.com/item?id…
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