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Semi profitable trader

Joined April 2022
Photo by jbjbjb (@bryptobricks)Photo by jbjbjb (@bryptobricks)Photo by jbjbjb (@bryptobricks)Photo by jbjbjb (@bryptobricks)Photo by jbjbjb (@bryptobricks)Photo by jbjbjb (@bryptobricks)Photo by jbjbjb (@bryptobricks)Photo by jbjbjb (@bryptobricks)Photo by jbjbjb (@bryptobricks)Photo by jbjbjb (@bryptobricks)
Volatility is the price of opportunity. No other market gives you this many opportunities to change your life. Sold all of my ETH at $2600 today and then bought everything back and more at $2200. Things will be ok. The ticker is ETH
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I am excited to be an investor in trade(xyz) as they partner with ICE to bring 24/7 perpetual futures on Hyperliquid to the United States. As a market participant, I am looking forward to to using their innovative product to enhance my investment process.
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Ngl shut the chain down
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Bro so deeply underwater on his Pons short he said fk it let me just try anything 😭
This quoted post is unavailable.
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jbjbjb retweeted
What a privilege is it to wake up and try again
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Just a plumber in a driller world
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OGs were also genuinely trading against North Korea during defi summer with a fraction of the tools btw
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No second best btw
Bought some. First clip
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Circle after helping North Korea steal billions of dollars and then posting a proposal to liquidate everyone on AAVE
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jbjbjb retweeted
I see ppl calling for the death of defi They're wrong DeFi is gonna take a hit but it will not die, current situation is completely recoverable with protocol treasuries and loans I believe in DeFi and I'm gonna keep working to make it succeed🦙
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jbjbjb retweeted
savUSD is now live on @Movement_xyz. Institutional-grade yield infrastructure, natively on Movement. Deposit stablecoins, earn yield automatically, protected by the same multi-layered capital stack that's had zero incidents since launch.
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Anthropic cutting OpenClaw is a massive net benefit imo. Instead of “one model to rule them all” this pushes users to “route to the best model for specific tasks” People have been paying the most expensive model for every task. The next phase for AI will be “smart routing”
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Although 95% of what happened with Drift today was gross negligence by the team, @circle has a duty and a responsibility to not facilitate native bridging of stolen funds: • 3+ hours after the exploit was publicly flagged • During normal US business hours • While the attacker was actively using CCTP • One week after Circle froze 16 innocent business wallets within hours over a civil lawsuit filled w errors Why does Circle not have a full time response team dedicated for events like this? Do better.
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The USR incident wasn't a "hardcoded peg" failure or even a vault problem. It was a curator conflict of interest amplified by an automated allocator with no off switch. Morpho's isolated markets work fine. The MetaMorpho vault layer is a UX wrapper. The wrapper failed, not the protocol. What actually needs to change: 1. Automated allocators need circuit breakers. The public allocator kept feeding USDC into a broken market post-exploit. Most of the bad debt was created after the initial hack. 2. Curators managing proprietary funds + public vaults simultaneously is a massive conflict of interest. Who gets to exit first in stress situations? 3. Hardcoded oracles on mutable-supply assets need guardrails on the mint side, not the oracle side. I think hardcoded redemption oracles are actually the best move for most defi stables. Lending markets live on stable leverage. Protecting those users from flash depeg wicks via illiquid on chain LPs is more important for overall defi stability than most people realize. The future is permissioned markets with proper access control. Not removing the oracle design that actually protects leveraged positions from unnecessary losses.
1/ Millions in bad debt, at the time of writing, were created across Gauntlet's Morpho vaults from the Resolv USR exploit. Almost all of it was supplied ** after ** the exploit. So why would curators supply millions in USDC to a broken market? Let’s dive in.
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I built a memory engine for my AI agent in 6 days that outperforms every solution on the market. Benchmarked it against Mem0, Zep, LangChain, Claude Memory, and ChatGPT Memory across 6 cognitive tests. 9.1/10 recall accuracy. 5ms latency. $0/month. Fully local. Open source.
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Most memory tools just do vector search. SME uses 6 scoring signals on every query: 1. FTS5 keyword matching (instant, no embeddings needed) 2. Temporal awareness ("what did I decide last week?" just works) 3. Confidence decay (old irrelevant memories fade automatically) 4. Entity graph overlap (ask about "Sarah" → also get her project context) 5. Type-aware scoring (decisions > random notes) 6. File weight (your important files rank higher) The result: the right memory surfaces first. Every time
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Your AI agents forget things, this fixes that. Works with Claude Code, Codex, OpenClaw, Cursor, or any agent that reads context. in terminal, run: npm install structured-memory-engine github.com/Bryptobricks/Stru… 1,451 tests. 0 failures. Built in production. Open source.
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