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@pv2077

Core blockchain research, Code level knowledge on Lighthouse consensus Phase0 and Geth, Deep into Web3 security,

Katılım Nisan 2023
1.1K Takip Edilen77 Takipçiler
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pv
pv@pv2077·
Low on motivation? Think about the number of retards having control over your life and influence your future. Think about the number of retards whose signatures will alter the course of your life. Think about the clownish retards ruling your country. Just lock in. pv
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Тsфdiиg
Тsфdiиg@tsoding·
You write code under NDA, I write code under MDMA. We are not the same.
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lynk
lynk@lynk0x·
The unseen hours chasing that dream…..
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chrisdior
chrisdior@chrisdior777·
If you're living alone right now, don't feel bad about it. It's one of the biggest advantages you can have. Pure FOCUS. All you need is a destination and the discipline to chase it. If you are in such situation - appreciate it, PUSH harder than ever and level up.✌️
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Specter
Specter@DemonFramed·
They say Gen Z has no balls and that they’re lazy, but they have more backbone and bigger balls than every generation before them. Gen Z realized working is a scam, so instead of blindly clocking in, they’re finding ways to make money without a traditional job, a skill the older generations never developed. They refuse to be slaves to boomers.
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SteelSeries
SteelSeries@SteelSeries·
challenge: small spill // Apex 3 TKL Gen 2
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lynk
lynk@lynk0x·
“For the sake of who I am to become, I will sacrifice who I am now.” -Mityito Musashi
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Tyo
Tyo@fwTyo·
The biggest mistake you can make is thinking the rules haven't changed. Every generation has one technology that creates massive wealth for the people who understand it early. The industrial revolution. The internet. Social media. Now AI and crypto. You don't need permission. You don't need a massive company. You don't need to wait until you're 50. You need skills. You need leverage. You need consistency. And you need to stop underestimating what can happen when you spend a few years mastering tools that most people are still laughing at. History rewards early adopters. Decide which side of history you want to be on.
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lynk
lynk@lynk0x·
When you remember the goal doesn’t care how tired you are.
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Jerr
Jerr@jerr_rrej·
Crisis is opportunity. The lowest points in a man’s life will be his highest spiritual heights. The light of dawn breaks through the night. Only the ones who keep faith through the night see the sun rise. Never give up. This is the cult of frame. Pick up the crown and place it upon the head. Then pass the crown forward to the lost. Orphans lift orphans. Chin towards God.
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pv
pv@pv2077·
Full post: pvnotpv.github.io/posts/lighthou… - How the lighthouse NetworkBehaviour works. - Tracing a ping request - Outbound and inbound substreams - How all of this works asynchronously
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pv
pv@pv2077·
3 months ago I was looking at GETH and was thinking, "Ain't no way I can understand this considering the huge size" but today here I am writing a blog post on tracing the execution path of the lighthouse libp2p network stack! One word. Consistency. Here is the deep dive ↓
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GiuseppeDeLaZara
GiuseppeDeLaZara@windhustler·
competitions were always the most effective final step before going to production. AI is going to be the biggest productivity multiplier for security, but it's non deterministic and requires a lot of triaging and extra work. i think we'll see competitive audits on steroids, where there are 10k issues per codebase and 10+ triagers/judges screening through all the issues. afaik Sherlock's moving in this direction.
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GiuseppeDeLaZara
GiuseppeDeLaZara@windhustler·
i have a strong feeling competitive audits are going to make a crazy comeback
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LonelySloth
LonelySloth@lonelysloth_sec·
ChatGPT was really a big outlier in tech history. Imagine an alternative world where LLMs were developed with the exact same capabilities -- but nobody ever made a chatbot out of it. Instead Google integrated it with Search so it can give better results and summaries. You can do follow up queries that refine results of the initial query, including the summaries, and it also does some computations automatically. People hardly notice it. Github added a feature that you can enter a description of the code you want and it will find multiple OSS projects, fork them (keeping the license), recombine or integrating their code and even translate to other programming languages -- and give you something they call "initial version" that works well in many cases. They also add automatic suggestions to PRs, and suggested PRs for fixing/implementing open issues. They call it something like "advanced templating". It has mixed reactions among programmers but most organizations are using it to some extent. OSS developers actually like it. Wolfram Alpha now takes natural language descriptions of theorems and can prove or disprove many of them. Some people used it to find proofs for open problems. Some mathematicians worry the new generation is getting too dependent on it while the system doesn't really work every time. None even thinks about it replacing them. All the same capabilities, blended seamlessly into previously existing products. Nobody ever chats with an LLM. Nobody calls it AI. They don't have cute names -- they don't have separate names at all. They "live" inside boxes to perform tasks. They are components. This would likely be a much more productive world (I would switch to that world any time). I doubt anybody would be talking about exponential intelligence or worried about all jobs being replaced, much less about some doomsday scenario. If someone suggested these components were conscious people would laugh. It would be like saying like Google Search is conscious. Worse, like Big Tables or ranking algorithms are conscious. ChatGPT didn't ruin AI for people who tried it and never came back. It started training early adopters to think of it as "someone" instead of "something". The other companies then went even further. The entire concept of what LLMs are, what they are expected to be able to do or not, how reliable they are, what is their function in the workplace -- everything about them -- is built on top of the impression that they are basically like a person, because they can produce plausibly human-like interactions. A deception. If you want to use the LLM you're almost always required to interact with them by LARPing -- pretending it is "someone" and not "something", until you start using human words to refer to it, and forget it was just LARPing. That was a choice. Centering the development of LLMs as something that can pretend to be human instead of doing something useful. Building automated NPCs and pretending to be building God wasn't a given of the transformer architecture -- it was their deliberate choice. I think that was a bad idea. But it sure helped them raise money.
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Achilles
Achilles@Xhej__·
Achilles tweet media
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lynk
lynk@lynk0x·
Get angry.
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lynk
lynk@lynk0x·
How life has been lately:
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