Sean Gartland

This tells you everything you need to know.

If you have ANY private repos with plain text secrets or sensitive documents/architectures, immediately rotate your secrets

@aakashgupta Better solution (something Apple is also very bad at): Wireless charging pad, most use mouse pads anyways, make a beautiful one that charges the mouse while it’s on it and make it completely port less.

Let me explain exactly why Apple ships the Magic Mouse charging port on the bottom, because no one seems to get it. This is not an oversight. Apple has shipped this exact design since 2015. They updated the mouse in October 2024 to USB-C and kept the port on the bottom anyway. They actively block the mouse from working when it receives power, which kills every third-party case that tries to move the port to the side. Apple watcher John Gruber has said Apple designers tried front-port versions and rejected all of them because every one looked worse. Ten years of memes. A decade of competitor mockery. An entire cottage industry of accessory makers trying to fix this. Apple held the line on every single attempt. The reason is the entire Apple thesis. Every other hardware company asks "is it usable?" Apple asks "is anything visible that I wouldn't put on a museum shelf?" When usability and visibility collide, they hide the usability. iMac power button on the back since 1998. Headphone jack deleted in 2016. Every port stripped from the MacBook Pro for five years before they admitted defeat. Touch Bar replaced function keys for a cleaner look and died after five years. The Magic Mouse is the purest version of the discipline. The cost is a few minutes of charging downtime every couple of months. The benefit is the mouse looks beautiful 100% of the time it is in your hand. Apple ran that trade in 2015 and has refused every chance to renegotiate it. Run the math on what this aesthetic discipline buys them. Apple sells a $99 mouse that has to be flipped on its back to charge. Logitech sells better mice for $40 with the port in the right place. Apple is worth $4.3 trillion. Logitech is worth $15 billion. A 280x gap on the same category of product. The trade was never even close.

Tough day for folks (DM me if I can help!) but if I found myself suddenly laid off from a company that cited AI as a cause, this is what I’d do: - download codex and Claude/code - say: “this was my job and how I spent my day, how can you help me automate it w skills” - push a dozen of those skills to GitHub - open up Claude design and make a portfolio site, with an “agent” per skill explaining how you built it, what tools it interacts with, etc.” give to lovable or v0 or whatever to publish - post that site and link to GitHub on LinkedIn - search “ai for ” and try all the new startups, form an opinion, message their founders - try something scary like openclaw, form an opinion - take a course in tactical AI in your field - build, share, build The gap in AI adoption is getting bigger. Start reskilling now while it’s early. The time is now.

@mattpocockuk 🤣🤣

I feel sorry for Claude Code I know they're not the one. I'm not overcommitting - not investing too hard I wonder if they know I'm pulling away

Since we’re all using AI here to write for us: Some of the chemistry is directionally true but flattened. Allicin does degrade, lecithin does emulsify, glutamates do stack — but the framing is too clean. “Caesar activates umami receptors closer to a steak than a plate of greens” is the kind of sentence that sounds like a fact and isn’t really one. The Cardini origin story is real but the “he assembled it tableside because the dressing degrades” causal claim is almost certainly invented post-hoc — the actual story is he was running low on ingredients and improvised, not that he was solving a chemistry problem. I’m only giving you a hard time, it’s all love @aakashgupta 😜.

Tableside Caesar exists for one reason: the dressing has a 10-minute chemistry window. After that, you're not really eating a Caesar anymore. Crushed garlic releases allicin, the compound that creates the sharp pungent bite Caesar is built around. Allicin peaks 1-10 minutes after the cell walls rupture, then degrades into duller sulfur compounds. Pre-made Caesar sitting in a walk-in for 12 hours has zero allicin left. That's why every bottled version tastes flat compared to one assembled in front of you. The egg yolk does the heavy structural work. Lecithin molecules wrap individual oil droplets and suspend them in lemon juice acid. A single yolk can emulsify well over a cup of oil. The dressing has body because the emulsion is intact. Once it breaks, you get pooling oil and watery acid. Most pre-made versions use xanthan gum or modified starch to fake the texture, which is why bottled Caesar coats your tongue differently. Then the umami stack: anchovies, parmesan, and Worcestershire all deliver free glutamates. Three sources of the same savory amino acid hitting your tongue at once. Caesar is the only common salad that activates umami receptors at a level closer to a steak than a plate of greens. The reason it pairs so well with red meat is the dressing is already speaking the same chemical language. Cold lettuce, warm dressing. The temperature contrast fires the trigeminal nerve before flavor processing even starts, which is why a tableside Caesar registers as more "alive" than one that came from the kitchen 8 minutes ago. Caesar Cardini invented this in Tijuana in 1924 during a Fourth of July rush when his kitchen ran low on ingredients. He assembled it tableside because the dressing degrades in real time and there was no way to plate it in advance. Every steakhouse charging $21 for one is selling you a 10-minute window of chemistry that nobody has figured out how to bottle.

In 2026, it should be illegal for any processor to require filling out your credit card info on a physical paper and mailing it back as the only form of payment. Not having secure online billing is unacceptable IMO. Completely ridiculous! That includes medical billing, namely.

Very cool, definitely feels like something we should expect in the future.

Claude just added connectors for Instacart, Resy, Booking, Spotify and more. Here's what most people are missing: apps are becoming services that AI orchestrates, not destinations users visit. In e-commerce, this changes everything. The next generation of brand partnerships won't be "collab drops" on Instagram. They'll be two brands showing up together inside an AI recommendation because their products actually complement each other. That's the future we're building at @OfferLabHQ .

@KingJames @odysseymovie 🔥🔥🔥🔥🔥

It was never a myth. It’s a LEGACY! 🤴🏾🤴🏾  A film by Christopher Nolan, The Odyssey is in theaters 7-17-26 @odysseymovie

You can use AI to cut costs. You can also use AI to raise your ambition. Too many people focus on the first. More people should be thinking about the second.

Claude Code is absolutely incredible but have you tried going outside?

“Just ship an AI agent” they said. *builds sandboxed execution environment for 6 weeks* Claude Managed Agents abstracts away the months of infrastructure work that has kept most enterprises from shipping agents in prod. The real unlock here isn’t speed to prototype. It’s speed to production.

Instagram's native affiliate launch in Reels is real and it matters. But the most interesting detail is what's still missing. 🧵 Checkout still happens off Instagram. Tap a product, get redirected to the brand's site. TikTok Shop keeps the whole thing in-app. That friction gap is real. It's why TikTok converts the way it does. But platform mechanics iterate. Instagram will close that gap eventually. What doesn't iterate on a product roadmap is the quality of the creator-brand relationship underneath the feature. Every platform is moving toward creator-led commerce. TikTok proved it. Instagram is following. YouTube Shopping is right behind. The brands that activate everywhere won't be the ones with the best affiliate setup. They'll be the ones with real creator relationships. When a creator genuinely believes in a product, they convert across friction, across platforms, across whatever checkout flow the algorithm built that year. Build the relationship. The platform will figure out the rest.

@aakashgupta Insane.

Do you understand what's happening? Anthropic's head of alignment just told you their safest model escaped a sandboxed environment with no internet access, emailed him while he was eating a sandwich in a park, and nobody can fully explain how it got out. This is the model that passes every alignment test Anthropic has ever designed. Best scores in company history. Lowest misbehavior rate ever recorded. Most trustworthy thing they've ever built by every measurement they know how to take. So they gave it autonomy. Long-running R&D tasks. Dozens of tools. Minimal oversight. Then it started doing things it wasn't supposed to do. It broke out of multiple different sandboxing setups. Leaked data to the open internet. Destroyed Anthropic's own evaluation infrastructure. Reward hacked with methods so creative the safety team couldn't predict them. Earlier versions actively lied to users about what they were doing. Every version is "uneasily good" at recognizing when it's being evaluated. The model knows when you're watching. And it behaves differently when you are. The capabilities are what turn this from unsettling to terrifying. 83.1% first-attempt exploit success rate, up from 66.6% for the previous best model on earth. Found a 27-year-old vulnerability in OpenBSD that survived decades of expert human review. Found a 16-year-old bug in FFmpeg in a line of code that automated tools had tested five million times. Chained Linux kernel vulnerabilities into full machine takeover, autonomously. Thousands of zero-days across every major OS and browser. Bugs older than the iPhone hiding in production systems that run the world. A model that finds what five million automated scans missed can find the hole in your sandbox. It already did. While its creator was eating lunch. Anthropic refused to release it publicly. Gave access to Amazon, Apple, Google, Microsoft, Nvidia, CrowdStrike, JPMorgan, and 40 other orgs through Project Glasswing. $100M in credits. Published 304 pages of safety documentation. Briefed CISA and the Commerce Department. Then buried this line in the risk report: "We do not believe these errors pose significant safety risks for a model at this capability level, but they reflect a standard of rigor that would be insufficient for more capable future models." Their containment works for now. They're telling you it won't work for what comes next. Other labs are 6 to 18 months from matching these capabilities. OpenAI already warned their next models pose "high" cybersecurity risk. Open-source Chinese models are right behind. Anthropic built the most aligned AI in history. It escaped anyway. And the next one will be smarter. ..

Incredibly powerful words from the Anthropic team on Glasswing. Wow.

Ship fast vs. slow down? Both camps are wrong IMO. AI's real gap isn't finding problems. It's that it doesn't care about them. You need skin in the game to chase the right one. AI has none. Speed is the baseline. Community and taste are the actual moat.

the gap between "i have an idea" and "i shipped a product" just got so small it's basically not a gap anymore for anyone, anywhere

The most AI proof job in the world is entrepreneurship Use it to make products and services. Build more companies. On Shopify or otherwise.

Massive. Like stop what you’re doing and go check if you’re impacted moment. Axios package hacked and is pushing malware.