Jeff Schroeder

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Jeff Schroeder

Jeff Schroeder

@SEJeff

Linux and OSS Lover, breaker of distributed systems, OIF II Veteran, Security Engineer, Martial Artist, wannabe chef, and lifelong student. Tech is my passion

Lexington, KY Katılım Temmuz 2009
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Jeff Schroeder
Jeff Schroeder@SEJeff·
My motto going forward: Move fast and make stuff, unit test, don’t break stuff!
Chicago, IL 🇺🇸 English
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Duncan Cock Foster
Duncan Cock Foster@dccockfoster·
@Timccopeland I think this could work but only work if you have a borderline delusional founder who aggressively insults anyone who questions him and lies to investors
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Tim Copeland
Tim Copeland@Timccopeland·
Been thinking about this for a while. What if you created a stablecoin that was pegged to $1 but instead of inefficiently locking up loads of capital, you back it with a second token I know it sounds kinda risky but if it drops below a dollar, people can burn the other token and redeem it for the stablecoin. If it goes above a dollar, they can just sell the stablecoin and redeem it for the other token. I feel like this might work if it captures a flywheel and builds up a sufficient ecosystem to support the daily buying and selling pressure + arbs. What am i missing here?
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Jeff Schroeder
Jeff Schroeder@SEJeff·
@deanmlittle Her pokerface is legendary. How do you maintain composure with so much stupid?
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James
James@_jhunsaker·
Monad now has linear memory expansion costs rather than quadratic like Ethereum. Smart contracts can now use more memory for cheaper cost. This expands what developers can build on Monad as well as reduces the need to potentially compromise security for optimization purposes.
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Lydia Hallie ✨
Lydia Hallie ✨@lydiahallie·
if your skill depends on dynamic content, you can embed !`command` in your SKILL.md to inject shell output directly into the prompt Claude Code runs it when the skill is invoked and swaps the placeholder inline, the model only sees the result!
Lydia Hallie ✨ tweet media
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Rach
Rach@rachpradhan·
I replaced FastAPI's entire HTTP core with Zig. Same decorator API. Same Pydantic models. 7× faster. 47,832 req/s vs FastAPI's 6,800. 2.09ms p50 latency. Introducing. TurboAPI. Here's the story..
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Cuy Sheffield
Cuy Sheffield@cuysheffield·
Excited to share Visa CLI, the first experimental product from Visa Crypto Labs. Check it out and request access here visacli.sh
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Jeff Schroeder
Jeff Schroeder@SEJeff·
people who know q are people who like q. People who like q are really weird and get excited and will show you how to animate a donut in q cc: @kxsystems
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josh
josh@joshyote·
Tell me about the best developer-focused event you've ever been to
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John Saigle
John Saigle@johnsaigle·
It's not right to suggest that static analysis tools are blind to these types of attacks. There are a lot of off the shelf lints that help here: - For Rust, Clippy has the invisible_characters enabled by default - Go has asciicheck and bidicheck (probably others too)
Hedgie@HedgieMarkets

🦔 Researchers at Aikido Security found 151 malicious packages uploaded to GitHub between March 3 and March 9. The packages use Unicode characters that are invisible to humans but execute as code when run. Manual code reviews and static analysis tools see only whitespace or blank lines. The surrounding code looks legitimate, with realistic documentation tweaks, version bumps, and bug fixes. Researchers suspect the attackers are using LLMs to generate convincing packages at scale. Similar packages have been found on NPM and the VS Code marketplace. My Take Supply chain attacks on code repositories aren't new, but this technique is nasty. The malicious payload is encoded in Unicode characters that don't render in any editor, terminal, or review interface. You can stare at the code all day and see nothing. A small decoder extracts the hidden bytes at runtime and passes them to eval(). Unless you're specifically looking for invisible Unicode ranges, you won't catch it. The researchers think AI is writing these packages because 151 bespoke code changes across different projects in a week isn't something a human team could do manually. If that's right, we're watching AI-generated attacks hit AI-assisted development workflows. The vibe coders pulling packages without reading them are the target, and there are a lot of them. The best defense is still carefully inspecting dependencies before adding them, but that's exactly the step people skip when they're moving fast. I don't really know how any of this gets better. The attackers are scaling faster than the defenses. Hedgie🤗 arstechnica.com/security/2026/…

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TD@tysondavis1·
@ASFleischman 75th guys get a little chippy if tab guys claim to be rangers.
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Jeff Schroeder
Jeff Schroeder@SEJeff·
@wedtm @FurbyPerson The Merops Surveyer kit has a fully autonomous mode though the defense for this is likely air burst proximity rounds or (less likely) nets. They’re the best anti-Shahed interceptors in Ukraine right now
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miles
miles@wedtm·
@FurbyPerson Training an AI to do this is months out. I think the evasions will be accurate enough for the current gen CUAVs.
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miles
miles@wedtm·
Imagine trying to target this. Drone warfare hasn't even cracked its shell yet.
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Jeff Schroeder
Jeff Schroeder@SEJeff·
@RyanSAdams It’s decent. Solana today is 12 seconds and hopes to have full finality around 150ms soon with a new consensus mechanism.
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RYAN SΞAN ADAMS - rsa.eth 🦄
i'm going to call this Pretty Good Finality (PGF) until someone explains it to me i know it's not full finality...but it seems to gets you most of what's needed for finality in almost all cases (and it fails back gracefully if things go wrong?)
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Ilan Gitter
Ilan Gitter@nocircuit·
Ethereum feels like it was designed by architects and researchers that haven’t actually worked on scalable systems: “let’s scale by creating microservices that all require pushing updates to a stale system that doesn’t work under high load” Solana has been built by pragmatic devs focused on high throughput systems: “live load tests revealed bottlenecks in the transaction ingestion, block propagation, and block space. Let’s fix that and continuously optimize”
Noah 🎈@redacted_noah

P-token is a great example of why Solana is killing it on perf. Everyone thought the solution to scale was overly creative architecture. Meanwhile, Solana coredev have been optimizing with incremental changes for years. 10% gain here, 30% there. Compounding, and battle tested.

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Jeff Schroeder
Jeff Schroeder@SEJeff·
@joshyote These are all wrong though. The most tradfi has over crypto is REALLY BIG BAGS. Source: worked in HFT for 15ish years
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