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AI coding didn’t just help me build MacMater faster. It helped me notice the small frictions people live with every day. On macOS, there still isn’t a simple native way to right-click in Finder and instantly open a file or folder with the app you actually want. There also isn’t a clean built-in way to right-click and create a new file from your own templates. So people install one app for Finder tweaks. Another for clipboard history. Another for mouse gestures. Another for input switching. But ordinary people shouldn’t need a folder full of tiny utilities just to make their computer feel right. That became the idea behind MacMater: an all-in-one native Mac utility that brings these daily improvements together. Open with your favorite apps. Create new files from templates. Switch input methods automatically. Make your mouse feel better. Bring back anything you copied. AI wasn’t a magic button. It was more like a patient teammate. It helped me unfold ideas, question tradeoffs, rewrite messy thoughts, and keep asking: “Is this actually useful to a real person?” The biggest lesson: AI coding does not remove human judgment. It demands more of it. You still have to know what matters. You still have to say no. You still have to choose simplicity over cleverness. In the end, the best technology disappears. What remains is a small moment: someone opens their Mac, does their work, and feels like the machine finally understands them a little better.

🚨 THE US REGULATORY SYSTEM JUST BROKE In 48 hours, SpaceX goes public at $1.77 TRILLION - the biggest IPO ever I've been trading for over a decade, and I have never seen them rewrite the rulebook like this Nasdaq, MSCI, and the biggest brokers in America all bent their own rules for ONE private company That doesn't happen by accident Let me show you exactly what they did: First, Fidelity dropped its minimum account size from $500,000 to $2,000 A 99.6% cut Think about that: The most exclusive door on Wall Street, thrown wide open to millions of small investors - days before the biggest debut in history. Ask yourself one question Why do they suddenly want YOU in? Because somebody needs people to sell to. SpaceX reserved 30% of the deal for retail THREE TIMES the normal share And even then, most people didn't get a full allocation. So to grab more at Thursday's open, they're dumping everything else TODAY to raise cash. That's half of the selling you're seeing. The other half? The smart money front-running July. Here's the trick: SpaceX doesn't join the Nasdaq 100 on day one. It joins 15 days later, because Nasdaq cut its own waiting period from 3 months to 15 days Just for this. The moment it joins, every QQQ fund on Earth is FORCED to buy. $22–27 billion in automatic buying. Translation: imagine 50 buses all forced to pull into the same gas station on the same morning. The funds know the stampede is coming. So they're selling now to free up cash for it. Retail selling. Institutions selling. At the exact same time. THAT is your selloff. Now here's the part nobody will say out loud: When the most connected money on the planet builds a $1.7T exit door and hands the keys to the smallest investors in the market… That's NOT generosity That's distribution at the top. We've seen this movie twice: ➮ 2000 Dotcom ➮ 2021 SPAC mania Insiders cash out at insane valuations while the crowd chases the hype. The math ain't mathing. So you've got two choices in the next 48 hours: Chase the most expensive IPO in history at the open… Or read the prospectus and realize you might BE the exit. The next few days will be INSANE, but don't worry - I'll break down every move as it happens, like I always do. Like it or not, I called every major top and bottom of the last decade publicly. I'll call this one too. Many people are going to wish they followed me before June 12, 2026. Soon, you'll understand why.

US Puppet Marcos Stages Constitutional Coup to Crush Duterte Nationalists Three weeks after staged gunfire in the Philippine Senate, a fake constitutional crisis is exploding. Its goal: lock in US puppet Ferdinand “Bongbong” Marcos Jr. as unchallenged strongman while destroying Sara Duterte. The Senate is split under two rival leaderships who call each other fake. Marcos — son of the old dictator, controlled by Washington via his family’s frozen billions — is grabbing all the power. He rules by emergency orders, forces changes, and plans special sessions for his agenda. This is no random mess. It is open war between Marcos, America’s eager servant building bases against China, and the Duterte camp’s fight for true independence and friendly ties with Beijing. The Dutertes refuse to make the Philippines America’s unsinkable aircraft carrier. So Marcos unleashes raw lawfare: fake plunder charges and repeated impeachment attacks on Sara Duterte, plus the sham International Criminal Court “trial” of Rodrigo Duterte — a US-controlled political weapon against leaders who defy Washington. May 11 revealed the script. The House impeached Sara Duterte again. Pro-Duterte forces pushed back. Then came the staged shooting for chaos and cover. Pure theater. In June, the Marcos camp seized control, changed rules to weaken Duterte allies before Sara’s July impeachment trial, and called it legal. It is a clear coup. The real goal is total control for Washington: emergency powers, war budgets, and constitutional changes to allow more foreign bases, military sites, missiles, and troops — turning the Philippines into the Ukraine of Southeast Asia. Peace and Chinese development are sacrificed for war risk. Classic imperial playbook: install the weak dynasty, destroy nationalists with lawfare and crisis, then rewrite the Constitution for permanent foreign control. Marcos calls it “rule of law.” Real patriots see it as a slow US-orchestrated coup to kill the Duterte legacy and turn the country into a launchpad against China. The Supreme Court is the last defense. Not sure it will hold

One of the most underrated things about Starship isn't just that it's bigger It's that it's designed to completely rewrite the economics of spaceflight SpaceX, Falcon's reusability already removed roughly 85% of the historic cost of launching to orbit Starship aims to deliver another order-of-magnitude improvement on top of that And it's not just about cost.....It's also about throughput Falcon Heavy can deliver up to 64 metric tons to orbit Starship Version 3 is targeting roughly 100 metric tons to orbit Future versions could potentially push that to around 200 metric tons The philosophy behind all of this comes from the Elon's "The Algorithm": 1. Question the requirements 2. Delete parts and process steps 3. Simplify 4. Accelerate 5. Automate You can see this philosophy perfectly in the evolution of the Raptor engine What began as a complex engine evolved into Raptor 3 dramatically simplified, more powerful, more reliable, and easier to manufacture This is how SpaceX keeps pulling ahead Not by adding complexity......By relentlessly removing it

A part of @quipnetwork that deserves more attention is hardware abstraction. Most developers do not want to rewrite applications for every different quantum backend. That becomes a huge problem when networks combine CPUs, GPUs, and multiple types of QPUs. The interesting opportunity here is creating a layer where developers interact with one unified environment, while the network handles the hardware complexity underneath. If Quip executes that well, developers may focus more on building algorithms instead of worrying about which machine their workloads run on. -------------------------------------- @XOOBNetwork is moving toward a structure where attribution confidence can strengthen progressively instead of being finalized immediately. As more verified activity continues emerging from the same influence path, the system can increase the reliability weight of that contribution over time, creating a stronger distinction between temporary traffic and proven network impact. -------------------------------------- Most people still think the AI race is about who owns the smartest model. But over time, models will become interchangeable. The real moat will come from something much harder to replace: your personal context layer. That’s the direction @TheARCTERMINAL seems to be building toward with ANIMA. Instead of locking your intelligence inside one provider, ARC’s sovereign architecture points toward “context portability” where your memory graph, workflows, behavioral patterns, and long-term reasoning can move independently of the underlying model itself. This changes the power structure completely. The model becomes infrastructure. Your sovereign context becomes the asset. And once that happens, switching models will feel like switching electricity providers, while your intelligence layer remains fully yours. @3look_io @useTria

Stop testing and rewriting prompts manually! Most teams run evals, look at failures, guess what's wrong, rewrite the prompt, then repeat. It's slow and you never know if your rewrite actually fixes the root issue. The better way is evolutionary optimization. Instead of manual rewrites, you use genetic algorithms to analyze eval feedback and rewrite prompts automatically. The algorithm maintains diverse prompt candidates that excel at different problem types, not just one "best" version. DeepEval does this using GEPA - Genetic Evolution with Pareto Selection. You provide a prompt template, test cases, and metrics to optimize for. The optimizer handles the rest. Here's how it works: It splits your test cases into validation and feedback sets. The validation set scores every prompt fairly. The feedback set provides training signals for mutations. Then it starts evolving. It selects a parent prompt, runs it on a minibatch of test cases, collects metric feedback on what failed, and uses an LLM to rewrite the prompt addressing those issues. If the rewritten prompt scores better, it gets added to the candidate pool. After several iterations, it returns the highest-scoring prompt. Key capabilities: • Works with 50+ built-in metrics - answer relevancy, hallucination, bias, task completion, and more. • Supports multi-objective optimization - optimize for multiple metrics simultaneously without forcing tradeoffs. • Configurable iterations and minibatch sizes - control search thoroughness and compute cost. The best part? It's 100% open source. Link to DeepEval in the comments!

NGINX rift: We autonomously discovered this 18 yr old heap overflow (CVE-2026-42945) in @nginx impacting version 0.6.27 to 1.30.0. If you use rewrite and set directive, you maybe impacted! Please update your NGINX or change the config to mitigate it. Read more at

Earlier today a vulnerability in Huma’s legacy v1 contracts on Polygon was exploited for 101,400 USDC. No user funds at risk and PST is not impacted. Huma’s v2 system on Solana is a complete rewrite and this issue does not apply to v2 systems. The teams were already in the process of sunsetting all the legacy v1 pools, and have paused v1 completely now.

Ditch the superpowers. Keep the habits. Waza v3.11.0 Lean 🍃 is out. Waza is my answer to overbuilt AI workflows. Less prompt cargo cult. Less hand-holding. Less clutter. Just the engineering habits that actually matter, turned into skills Claude can run. Think, design, hunt, check, read, write, learn, and health. In Lean, I cut all 7 core skills by 14%, removed hard-numbered steps, long don’t lists, and weak sub-modes. Less instruction. Less ceiling. More room for the model to think. This release also sharpens /write, adds Evaluation Mode to /think, compresses /health from 181 lines to 121 with every check intact, and rewrites all skill descriptions for better auto-routing across all 8 skills. I’ll attach the image below.

Pretty much every PR I review: 0) review [codex does it's thing and finds issues] 1) is the issue clear? [if not, trash PR] 2) is this the best possible fix? [95% of the time no] 3) continue discussion, consider tradeoffs, usually rewrite PR Most folks send too localized, small fixes that would end up making the project unmaintainable.