Investigation continues into that deadly drive on the Arborway in Jamaica Plain yesterday that was caught on dash cam video obtained by 7News…18 year old driver who caused the crash remains hospitalized…the other driver a 48 yr old man was pronounced dead at the scene #7News

$1.1 million spent for the new City of Austin logo. Peters created a much improved version... Just for fun. 👇

There have been 17,884,096,343 internet videos of people dancing at work since 2013, and this is the first good one

Elon just quietly inventing his own phone number system.

This video is dedicated to the AI safety kids

Reading scores, 3rd graders to 8th graders, 2015 to 2025. This is a national tragedy.

Starting today, I'm going to give the world a first hand view of what it is like to own, operate and grow a small manufacturing business. Beginning with this picture. This is a picture of my not-so-glamorous shop in northern Illinois. It's also the reality of thousands of other small machine shops across the country. Mostly older machines (newest 2019), less organized and dirtier than I aim for. I've worked here since I was 13, ran it since I was 24 and owned it since I was 26. I’m 32 now. I’ve been considered an old soul and have always kept it real, but what I am about to do scares me. See, my Opa started this company in 1977 and he always wanted to break $1M in revenue. To celebrate him and the 50th anniversary of Center Tool Company I’m going to do it. I will double our revenue AND do it publicly. We are on target for $500k in ’26 (pretty much been 500-800k since 1977, very unspectacular) In ’27 we will break a MIL. In the grand scheme of things that's pretty small, but it could be entertaining to ride along on the journey. I’m going to show basically every aspect of what I know and how I do things. I will post about stuff and include actual screen shots, pictures, statements, and documents. Maybe some videos of day in the life or the joys of defense contracting... I’ll break down the inner workings of not just turning raw metal into finished tooling or parts, but also working with customers, banks, lawyers, the government, family/business and family-business dynamics, personal/business finances, and raising a young family through this. What do you want to know and/or what I am doing wrong? Comment or DM America sits at the precipice of reindustrialization. We have a monumental opportunity in front of us. It’s time to burn the ships and go all in. Bringing manufacturing back to our country could return a healthy middle class and economic boom across small town America - where I live.

NEWS: Time has released its list of the 100 most influential people in AI that includes industry leaders such as Paris Hilton, Bernie Sanders, and Sam Altman.

The Great Inversion: AI Is Quietly Draining the Public Internet of Thought Something profound is happening to the Internet, and almost no one is naming it clearly. I have been cataloging it of the last 4 years. For decades, the web’s most valuable resource wasn’t bandwidth or servers. It was the messy, public give-and-take of human questions and answers. I was a Top Writer on Quora for nearly a decade as well as a massive pre-crazy Wikipedia contributor — I lived in the space of that give and take. Someone would hit a wall, open a forum, type out the problem, and a conversation would form. Ideas were stress-tested in the open. Nuance appeared. Dead ends were marked. Better questions got refined in real time. That entire process — the friction, the disagreement, the collective thinking — was left behind as searchable, linkable, durable public knowledge. That flow has reversed. The same questions, the same moments of curiosity or confusion, are now more routed into private AI interfaces. A person opens a chat window, types the prompt, receives the output, and the entire exchange vanishes into a closed ecosystem. The assumption we must make (because it is true) is that the AI company stores both the prompt and the response. The thinking that once would have become part of the shared human record is instead locked inside a corporate training silo. This is not a minor shift in user behavior. It is an inversion of the Internet’s original knowledge architecture. Public discourse is being systematically stripped of its higher-signal material. As the internet’s data gets more and more noisy in a very really way it is growing quiet. The questions that used to generate the richest threads the ones that forced people to clarify assumptions, admit uncertainty, or synthesize across domains are the ones most efficiently answered by AI. What remains on the open web is increasingly the residual: lower-effort posts, performative arguments, recycled takes, and the questions that still feel too social or too ambiguous for a model. AI then trains on that thinning residue, while the better thinking is captured privately and never returns to the commons. The result is a strange feedback loop. The public Internet becomes less thoughtful precisely because the thoughtful interactions have been privatized. And the models, trained more and more on what is left behind, risk becoming increasingly fluent in the lesser exchanges that now dominate the surface. This is not the usual complaint about “AI is making people dumber” or “forums are dying.” Those are symptoms. The deeper phenomenon is structural: the migration of human cognitive surplus from a public knowledge commons into private, non-reciprocal data reservoirs. The Internet is no longer primarily a place where thinking is externalized and shared. It is becoming a place where thinking is extracted and contained. The novelty of this observation is that it reframes the problem away from content moderation, engagement algorithms, or even AI capability. The core issue is architectural. We have inverted the direction of knowledge flow. What once leaked outward into a shared substrate now drains inward into silos that do not, by default, give back. The long-term consequences are massive under-discussed as not noticed. How does a civilization maintain a high-quality public epistemic environment when its best questions are no longer asked in public? What happens to the training data of future models when the richest human reasoning is locked behind commercial walls? And what cultural muscles atrophy when the habit of thinking out loud, in front of others, becomes rarer? This is the silent inversion of the Internet. The data once destined for the commons is now shunted into AI. The thoughtful exchanges are disappearing from the surface, and the models are learning from what remains. That is the novel dynamic. Everything else is downstream of it.