Jamie

I've been wanting to create a dynamic NFT for a while, super excited to get one into the GEN2 collection. This piece utilises lottie.js аnd а bunch of custоm jаvаscript tо serve 12 animation segments оver а 24 hоur periоd in a single NFT.

Self-taught “autodidacts” who only have a base level understanding of a wide variety of topics, but no true “deep” knowledge (they skimmed a math textbook but didn’t do any practice problems) are going to do really poorly in the AI era

Matt Kalish says Kalshi showed him a $930K payout on a $10K bet, then market makers turned the odds from 93 to 1 into 38 to 1 "i say i want to bet $10,000 on brooks koepka to win, the website says 93 to 1, i hit bet, what do you think happens?" "you think you're getting 93 to 1 right, and of course you're gonna win $930,000 right" "it turns out my bet's getting dumped to wall street market makers for a fraction of the amount. it was like 60% vig basically on this bet" "why is it if i bet $10 i'm getting 93 to 1 and if i bet $1,000 now it's suddenly 38 to 1? that's not sports betting, that's some other shit"

Buying HYPE at 22 is like dating a 22 year old supermodel. Hyperliquid.

Arthur Hayes called HYPE, ZEC, and NEAR a "holy trinity." His last big Zcash call came near a top. All three are strong coins. But fundamentals don't matter when BTC has 10-20% downside potential. These alts drop 20-30% first. Hayes picks real projects. His timing is the issue.

@AshCrypto 63% recovery from the bottom already

What the actual fuck man. The US stock market just printed its highest weekly close ever in HISTORY. Meanwhile, Bitcoin is down -40% from its all-time high and crypto market is sitting at a 5 year low. Now, either this is pure price suppression and manipulation, or no one gives a shit about crypto anymore. If retail can get rich with safe stock in this AI mania, why would they bet on memecoins or altcoins that can get rugged in 24 hours with insiders taking all their money. At this moment there is nothing for retail in crypto. Any good projects are already launching at multiple billion FDVs with no upside for buyers. Bitcoin is the only True king of crypto. We need BTC above $100k to build a positive momentum and narrative which can start the money rotation from stocks to crypto. I AM NOT FUCKING LEAVING. ( can’t leave coz already all in )

The realistic float for $HYPE is ~200m tokens At a pace of $15m/trading day inflows and current $58 price, that will retire around 5-5.5m HYPE/month. The Assistance Fund gets a further 1-1.5m a month So two tiny ETF issuers and the protocol itself would retire ~3-3.5%/month 👇

What’s happened is that we went from AI chat tools that were relatively cheap and had small context windows, to AI agents that have giant context windows, the ability to keep track of longer running work, and models that cost an order of magnitude more on inference because they’re that much better. This has compounded far faster than most realized (unless you were paying close attention at the middle or end of last year, which many here were), and the dollars flowing in now are much more real. What follows is a continued march of AI capability that will continue to be used by anyone with a frontier use-case (like coding, sciences, finance, consulting) and then a peeling off of tasks to lower cost models that are capable enough for the job. Whereas we thought the cost of AI might converge on a single low price per token before, it’s clear the stratification is only widening based on the task you need performed. This will be yet another component that has to be figured out for broad AI diffusion. Enterprises will need to put in programs, new finance teams, and technology solutions to manage this all. The labs and platforms that can ensure customers can price optimize for the task at hand will be in the best position.

Meta was easily the most toxic company I've worked for. There's a reason the Chinese call it "Squid Game". Others refer to it as "Hunger Games" or "Lord of the Flies". I think they're all accurate. The company culture is basically every man/woman for themselves. The performance review process (PSC) not only doesn't incentivize helping others, if anything it actually discourages it since everyone is stack ranked against each other. Imagine working on a team where every 6 months, one of you is going to get axed. Of course it's going to become toxic. "Bottoms up" culture is a complete farce - it's just a way for leadership to offload accountability. The Tech Leads (TLs) have all the power - owning the relationships and tribal knowledge to gatekeep projects to their buddies. Managers are "people managers" with limited technical understanding, who basically aggregate TL feedback and create performance review packets to calibrate with other managers and IC7+. The takeaway is that your destiny is in the hands of the TLs, and TLs unlike managers have no responsibility for your career. There are no repercussions for unethical behavior. I've seen managers and TLs throw others under the bus and get away with it. The only mission bonding the company together is individual self-preservation. Save your own ass to survive for another stock vesting, and throw someone else under the bus if you need to. That's why layoffs rarely impact directors/VPs or tenured IC7+ despite the fact that they're paid by far the most. Even this recent mass layoff that was supposed to "flatten" managers layers barely affected directors/VPs/IC7+, and fell predominantly on M1s - the lowest rung of the management chain. The culture is extremely performative and focused on box ticking and optics. Everything is about PSC (the performance review system) and perception. This means tons of meetings, useless AI slop posts, and top-down initiatives that don't benefit anyone but maybe help tick off the impact box of some go-getter at the top. Impact is not enough - it has to have sufficient complexity. So complexity is added for complexity's sake. The org I was in (Facebook ads) is 90% Chinese, and the entire leadership chain up to the VP level is Chinese. Mandarin is the primary language at the office, except in official meetings with non-speakers. Chinese work culture is very different from American work culture, with 996 (9am-9pm, 6 days/week), top-down nature, emphasis on saving face (eg. don't question your superiors), and toxicity being quite common. Naturally when an org is completely dominated by a single ethnicity that's notorious for not integrating, elements from their work culture seep in. Of the layoffs I witnessed in this org, 3/4 were not Chinese (just to be clear, most Chinese are very kind so don't take this as an attack. But it is a reality that I think most people outside this company are completely unaware of, and I question if leadership is even aware despite the fact that we're talking about the company HQ) I had the most toxic manager of my life here. I watched him deliberately set up a new hire to fail, driving them to needing to see a psychiatrist for anxiety + depression, and getting them fired. Then he suddenly disappeared for 8 months, before leaving the company. I could go on and on, but this is already pretty long and I think you get the point. Yes there are a lot of great, kind people here. I managed to transfer out of my first team into a new team with a great manager where everyone was very smart, supportive, and hardworking. But the company has its Squid Game reputation for a reason. Company culture comes from the top. It seems leadership is either too removed to notice, or maybe don't really care anymore because I guess they already made their billions and us plebs are expendable these days.

Great post on FDEs. Everyone should read it if you’re interested in this job category. This is a job that is going to be around as long as AI keeps changing rapidly, which it inevitably will. People often wonder why isn’t this like just deploying other forms of technology in the past, like cloud. Because something like cloud adoption affected a fairly concentrated set of users (developers and IT), and generally didn’t require a fundamental change to the workflows of employees to get the benefits of the new service being delivered on the cloud. At best you went to one training session and you were done. With agents, the work to implement them is not only highly technical, but they directly impact the underlying workflows that people participate in. This means there’s a ton of technical work and change management that comes with it. Further, the pace of change of cloud wasn’t nearly as quick, so there was a lot more time for best practices to propagate. Now, every model change means either something new can be done that wasn’t possible before, or some piece of scaffolding is now redundant or holding you back. This is why it’s commonly easier for a vendor or partner that’s seen the implementation hundreds or thousands of times help do the work, even with internal support from the customer. So, this job isn’t going away any time soon, and will be a great path for a lot of technical talent, especially early career.

The market spent 2 years using fear to get people out of Crypto. Now it’s using boredom. Most people are mentally done. Historically this is the final stage before it goes completely parabolic. Prepare accordingly… it’s starting any day now.

Hot take: There is a limited window of time, like any new industry, where a new tool appears and people don't understand it fully yet, and it's powerful enough to change your entire life, but not so powerful it's been completely taken over by corporate interests yet. And when this tool appears you have two choices: use it to skyrocket your life and take advantage of this TEMPORARY moment, or resist/hate/be angry/complain/, do nothing, and the moment is gone forever. These brief moments in time are when shifts in the game board happen. It happened with Crypto, its happening with AI, it happens with any NEW thing. These shifts in the game board allow people who came/come from nothing, to elevate, using nothing but DEMOCRATIZED tools, moving first, their creativity, and execution. Our take is that instead of poo poo-ing the tool, USE the tool, improve your life, try applying the tool to the industries/things you know best, get creative, and catapault your way into a new class. You'll fine the sense of fulfillment you get as you're building, growing, expanding, learning, elevating your life, to FAR OUTWEIGH any feelings of superiority you get by hating and rejecting the tool. If you don't use this time, VERY likely chance in the future, whether 5 years, 10 years, when you are older, have more family, more weight/responsibility, and the realities of life are much more tangible, you'll wish you had acted more during this time. You don't want to be filled with regret because you chose to hate/dismiss, instead of build/grow, which ONLY helps you and the ones you love. TLDR? Instead of hating/dismissing a new tool, use this BRIEF WINDOW of time to elevate/improve your life. The window is temporary and if you don't use it because you want to please a small niche of people who don't really care about your success anyways, you may very highly regret that decision. Disclaimer: Post written with care and consideration and in a good spirit. Please don't be hateful for no reason. This is to benefit those who these words get through to.

Hyperliquid is up over $1 Billion+ buying back their own token. Remember when people said that rebuying their own token was a misallocation of capital? What other asset in crypto could they have bought for returns like this at this size? JEFF MODE

Eric Schmidt (ex-Google CEO): “if you really want to make money, it’s actually easy. found an agentic AI company.” If I had only 30 days to do that , I'd begin here and save this: Agent Architecture langchain.com/blog?category_… Claude Code 101: anthropic.skilljar.com/claude-code-101 Claude Code in Action: anthropic.skilljar.com/claude-code-in… Prompt engineering (official): docs.claude.com/en/docs/build-… Interactive prompt tutorial (hands-on): github.com/anthropics/pro… CLAUDE.md & how to give Claude memory: code.claude.com/docs/en/claude… Skills, teach Claude reusable workflows: code.claude.com/docs/en/skills MCP, time connect Claude to Slack, GitHub, Drive: code.claude.com/docs/en/mcp Routines (automate tasks 24/7): code.claude.com/docs/en/routin… Claude Code Ultimate Guide (community): github.com/FlorianBruniau… Awesome Claude Code (skills, hooks, plugins): github.com/hesreallyhim/a… All 13 Anthropic Academy courses (free certs): anthropic.skilljar.com Claude Code full docs: code.claude.com/docs/en/overvi… All of this is for free at $0/month Then read this guide by this builder

STUDIO GHIBLI JUST HANDED YOU THEIR ANIMATION SOFTWARE. The studio behind Spirited Away, My Neighbor Totoro, and Princess Mononoke built their films on a tool called Toonz. In 2016 they open-sourced it. It now sits on GitHub, completely free, and most animators have no idea. It's called OpenToonz. This is not a stripped-down "community edition." It's the actual production software, with Ghibli's own custom modifications folded directly into the public release. The same toolset that drew some of the most beloved films in cinema history is a free download on your machine right now. → Hand-drawn frame-by-frame animation with onion skinning → Vector and raster drawing in the same workflow → The GTS scanning tool Ghibli built for digitizing hand-drawn art → Node-based effects, compositing, and color tools → Skeleton rigging for cut-out and puppet animation → Frame-by-frame motion tracking → A scripting console for automating repetitive tasks → Runs on Windows and macOS Toon Boom Harmony, the industry-standard alternative, costs up to $1,575 per year. Adobe Animate is $263 a year, forever, and you never own it. Both stop opening the day you stop paying. OpenToonz costs $0. You own it. It works offline. It never expires. And it has a feature set built by a studio that won an Academy Award. Every aspiring animator believes the barrier to entry is expensive software. That belief is the only thing the paid tools are actually selling. Ghibli quietly removed that barrier nine years ago. The whole thing is open source. Clone it, build it, or download the installer and start drawing today. 100% free. 100% open source. BSD-3 License.

Tax on investment gains 🇳🇿 NZ: 0% 🇸🇬 Singapore: 0%  🇨🇦 Canada: 27% max 🇬🇧 UK: 20% – 24% max 🇺🇸 US: 20% max 🇮🇱 Israel: 25% (Standard) ❌❌ 🇦🇺 Australia: 30% - 47% Labor’s new minimum capital gains tax is HIGHER than the max in most nations. Higher taxes = less investment.

anyone thinking about, learning, or already working with agentic systems, you should know this. the first few steps of your setup matter more than any model or framework you pick later. get them right and you never lose your flow. the foundation nobody posts about: > 1. tailscale. a private mesh network across every machine you own. laptop, desktop, rented node, all on one secure tailnet, reachable from anywhere. nothing else works well until this does. > 2. termius, over that tailnet. one SSH client that reaches every node, phone included. you are never away from your stack. > 3. tmux. persistent sessions. disconnect, close the laptop, come back, every session exactly where you left it. agentic work runs long, your terminal has to survive that. > 4. a private git repo. the one i am most glad i found. it is the memory layer across all my agents, they pull, they work, they merge back, the codebase stays alive between sessions. context that would die in a chat window lives in the repo instead. > 5. script everything from day one. ssh aliases for every node, setup scripts, the boring boilerplate automated. if you will do a thing more than twice, it is a script. everything past these five is decorative. know these cold. and the habit that ties it together: ask the AI itself. for the config, for the error, for any of it, let the agent do the lifting, then double check what it hands you. lock the five, build the habit, and you make it. skip it, anon, and you ngmi.

Three researchers used Anthropic's Mythos to build a working macOS kernel exploit that bypasses Apple's M5 Memory Integrity Enforcement, a security system Apple spent five years and billions of dollars building. Bug found April 25. Working exploit May 1. Walked into Apple Park to deliver the report in person. MIE was the flagship security feature of the M5 and A19, designed to kill the entire memory corruption bug class. According to Apple's own research, it disrupted every known public exploit chain against modern iOS. Calif didn't break MIE. They walked around it. Data-only attack, no pointer manipulation, standard syscalls from an unprivileged user to root. The 55-page technical report drops after Apple patches. This is the story of the year in cybersecurity.

Aussie crypto holder sitting on $2.1M in unrealized gains. ATO would take $987K if he sold. His plan: "Just hold and hope." Hope isn't a strategy. We moved him to UAE first. 0% personal income tax. 0% capital gains. Sold after establishing residency. From $987K tax bill to $0. His mate back home: "Must be nice being a criminal." He's not a criminal. He sold in the right jurisdiction. That's not evasion. That's sequencing.

GITHUB JUST CREATED AN OFFICIAL CERTIFICATION FOR THE MOST IN-DEMAND DEVELOPER ROLE OF 2026. It is called Agentic AI Developer. GH-600. And it is the first formal signal that running AI agent teams is now a recognized engineering discipline with a credential behind it. Not a prompt engineer. Not a vibe coder. An Agentic AI Developer. The person who operates, supervises, and integrates AI agents across the entire software development lifecycle. The person who knows where agents fail in production. The person who understands how to build autonomous workflows that do not introduce catastrophic failure modes into CI/CD pipelines. The person every engineering team is going to need and almost none of them have right now. GitHub certifying this role changes the hiring conversation permanently. Before GH-600: "Do you work with AI agents?" is an interview question with no standard answer. After GH-600: the credential tells the hiring manager exactly what you know and what you can do before the interview starts. The engineers who get certified in the first wave of GH-600 will have a credential for a role that has more demand than supply for the next 3 to 5 years. The engineers who wait until it is mainstream will be competing with everyone who moved first. If you are already working with GitHub Copilot or building agent-driven workflows you are already doing this job. GH-600 is how you prove it. Bookmark this. Follow @cyrilXBT for every AI certification worth your time the moment it drops.

Forward deployed engineers, or equivalent, are about to become one of the most in-demand jobs in tech. And one of the most important functions for AI rollouts. Deploying agents is far more technical of a task than most people realize, often far more involved than deploying software. Software generally works the same way every time, and generally for the past few decades has been updated versions of an existing technology or concept (which basically means easier for the enterprise to update their workflows on a newer system). With agents, you’re actually deploying the equivalent of work output within the enterprise. The customer is effectively using you as a professional services provider for a task, which they expect to get solved nearly end-to-end now. This means you need to actually deeply understand the business process as a vendor, and get the customer from the current to the end state seamlessly. Companies need help figuring out which models will work best for their workflows, they need extensive evals setup often, they need change management support for workflows, they need to get their data setup for the agents, and constant tuning of the agentic system for their process. Massive role in tech now. And another example of the kind of highly technical work that AI is creating.