Aidan D Bonel @abonel

🏃‍♂️ I've gamified my own run so I can race my own ghost with the Meta Ray-Ban Display. I built a web app for the glasses, loaded a previous GPX from Strava, and dropped game mechanics on top. Pick up coins when you keep pace, sprint zones reward extra points if you push, and a mini leaderboard on the lens shows how you're tracking against your past self in real time. Best part: it actually works. Seeing your ghost 20 m ahead is a way stronger nudge than any number on a watch. 😅

Imagine replacing 90% of your employees with a team of geniuses who have no idea how your company operates. Total chaos. Nothing works. That’s what AI feels like today. The missing piece is extracting all the domain knowledge from people’s heads and providing that as structured context to the models.

💡Recent insight: gaslighting @claudeai seems to improve code quality >90% of the time. “You overengineered this, there is a simpler way” “There is a smaller delta that buys us most of the benefits” “There is a more elegant way” “This is not architecturally coherent” …before I even read its code. 😆

AI super-apps are remaking China’s internet economist.com/business/2026/… from The Economist

Jeff Bezos: “People who are right a lot change their mind a lot” “Because of AI, new technologies, and all the dynamism in the world, so many things are changing — and they’re changing rapidly,” Jeff observes. The best solution he’s found for dealing with this rapid change is “thinking long-term” because it forces you to ask yourself, “What are the points of stability?” and “What is not going to change?” He continues: “One of the things that changes very slowly is customer needs. So you can build a strategy around customer needs. That will have durability.” When building Amazon, for example, Jeff built the company around the customer needs of fast delivery, low prices, and vast selection. “The technologies will change. Your competitive set will change. Everything will change, except those customer needs,” Jeff argues. And it’s this idea that is behind Jeff’s core idea of “Be stubborn on the vision, and flexible on the details.” He explains: “You have to be [flexible on the details] because the world is changing and so you change your mind. I’ve noticed that people who are right a lot change their mind a lot. People who are wrong a lot are very stubborn on the details.” Source: @reuters (Oct 2025)

"It is in some ways offensive to me that iOS is a nearly 20-year-old computer on which you cannot make software for the computer itself." — @gruber "At this point, an iPad Pro costs like $2,000. And you can't use it to make apps. It's kind of bizarre." "Even if it was just like, 10 people — a consumer-level of TestFlight distribution — where you can make apps for your friends and family and distribute it on up to 10 devices. And it doesn't go through Apple, doesn't need approval, you just make it and distribute it." "Yes, it's disruptive to Apple's business. But the disruption is inevitable anyway. So why not go with what's cool, and do the coolest thing possible, that makes new possibilities available to your users and developers on your platform?"

That time William Shatner was emotional explaining how it felt to take his first flight into outer space and Jeff Bezos cut him off to spray champagne. Like a scene straight out of The Office

OpenAI and Anthropic are effectively telling the market they can't solve every problem with a generic AI coworker. You don't pour billions into massive forward-deployed joint ventures if you think the next model release is going to take care of it. In the cloud supercycle, semis led and software followed (and you didn't need Qualcomm or ARM to tell you the value was migrating up the stack). In AI, the infra layer itself is telling us the application layer is a separate, massive opportunity they can't fully capture. a16z's @joeschmidtiv on why the app layer isn't dead: a16z.news/p/avoiding-dea…

Joe Schmidt IV @joeschmidtiv

a week ago

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Sentences in popular books are getting shorter. We read less complex stuff it appears. My argument remains: the easiest way to set yourself apart is to establish a lifelong reading habit. A book per week has you churn through 1000 books in under 20 years. Source: lnkd.in/ezv2ksZ5

Google Omni deserves a more hype.

I LOVE this visualisation. Everyone imagines nature and the outback, but they don't realise just how urbanised we are. Credit: u/KaleyTheKing

The answer is to work on harder, more complex things. We must sharpen our skills for the next frontier.

Tomás Bjartur @BjarturTomas

6 days ago

Mathematician reacts to OpenAI's recent proof:

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My local LLM nailing every task in the /goal.

trying to explain harness engineering: ok imagine if claude couldn’t delete your database

Uber’s COO has said that it’s getting “harder to justify” its AI costs because there was no way to show a link between AI spend and any meaningful increase in useful features. This is the first time I’ve seen a company say this directly. businessinsider.com/uber-coo-andre…

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Perplexity just open-sourced the tool they use internally to keep their own developers safe. 😨 It's called Bumblebee. It runs quietly on a developer's laptop and checks for any sneaky code, suspicious browser plugins, or AI tools that might be silently leaking access to your data. It covers Claude Code, Codex, Cursor, all of it. Here is why this matters now. For the last six months, hackers have been quietly slipping malicious code into the free building blocks that almost every app in the world is built on. When a developer installs one of these poisoned pieces, the attacker gets a backdoor into everything that developer touches. Including their AI tools and the keys that unlock them. Most security tools defend the finished product. Bumblebee defends the person building it. An independent security researcher read through the entire code and confirmed it is clean. No hidden tracking. No data collection. No backdoors. For two years, AI coding tools shipped with zero security defenses around them. Perplexity just shipped one. Free. Worth installing if you build anything with AI.

Perplexity @perplexity_ai

2 weeks ago

Today we're open-sourcing Bumblebee, a read-only scanner for macOS and Linux. It checks developer machines for risky packages, extensions, and AI tool configs. Connected to Computer, it can trigger deeper scans whenever a new supply-chain risk emerges. github.com/perplexityai/b…

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Thinking Machines is impressive. In a couple hours I just fine tuned my own Qwen3.5-397B model this afternoon. Fast usable multimodal is also going to enable very mind-blowing personal AI.

Thinking Machines @thinkymachines

3 weeks ago

People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way. We share our approach, early results, and a quick look at our model in action. thinkingmachines.ai/blog/interacti…

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Earlier this year I was getting frustrated with Claude's charts, fed this book to claude and had it generate a Tufte skill. Instantly got simpler/more beautiful visualizations. gist.github.com/aparente/e48c3…

Anjney Midha @AnjneyMidha

2 weeks ago

if you run an ai lab, pls ensure your team has read this before putting any charts out into the world

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This is the "Move 37" of Science.

Alvaro Lozano-Robledo @mathandcobb

2 weeks ago

Following up on the suggestion from Will Sawin, here is an illustration of the new configurations that disprove Erdos' unit distance conjecture (made with the help of ChatGPT 5.5 Thinking).

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