The most far reaching consequences of Iran war is that republicans will either lose senate or house or both. This means we will have lame duck govt for the rest of the term. This means nothing can be done to fix social security+Medicare costs. This means debt will continue rising rapidly while we watch it in awe. This means inflation and interest rates will continue climbing. This means AI build out is going to get lot more harder to finance. This means markets and economy will be in shambles at the time Trump will be exiting. This means democrats will win 2028 elections. This means Elon Musk will be charged with 50+ counts of SEC violations and the whole buffet. This means Dario will be the new AI czar starting 2029. This means Sam Altman will be forced to resign from OpenAI. The only uncertainty in this trajectory is from the possibility that AI *might* manage to wash out economic fallout during next two years.

Why the West is being flooded with immigrants. Western countries that use broad-based consumption taxes such as Value-Added Tax (VAT) or Goods and Services Tax (GST) have treated immigration as one tool for expanding their tax bases and easing the fiscal pressures created by aging native populations. By admitting large numbers of working-age migrants, governments can increase both direct income-tax collections from employment and indirect consumption-tax revenues (VAT/GST) generated by the additional household spending of those new residents.

Depiction of Olivia Chow up zoning residential homes into commercial enterprises within suburban neighborhoods, city wide.

When I first saw that someone had posted this, I didn't believe it was real. So I tested it myself on Google. It's real. Try it yourself before they "fix" it...

The problem is that if there's no Ai they could have digged into some good blender or unreal engine courses and learned ton of stuff to make something like this But they learned nothing and they have 0 courage to do so now And that's a problem I personally face with AI in a daily basis, The illusion of competence

quick reminder that 1GB of ram costed 6.5m USD in 1980. 31k USD in 1995.

You're either going all in on AI, tokenmaxxing, automating everything you once did manually, moving from playing the instrument to conducting the entire orchestra... Or you're going in the complete opposite direction. Learning ceramics, restoring old wooden furniture, bringing theater back (cinema is dead), organizing communal gatherings where nobody touches a phone, rediscovering what it means to be human in a world increasingly run by machines. I genuinely believe there's no middle ground anymore. The people caught somewhere in between, neither embracing the machines nor radically reclaiming the human experience, are the ones who will get wiped out. The middle is where AI will eat everything.

EARNINGS SEASON IS BACK HIGHLIGHTED THE ONES I AM WATCHING THIS WEEK $NFLX $TSLA $SPCX $BE $IBM $META $GE $GM

Sergei Bobrovsky is the first Maple Leafs goalie to allow 3+ goals in each of his first 6 games of a season since Vesa Toskala in 2009

We went from: > Anthropic could wipe out humanity > Astra is AGI > Software is worthless To: > AI isn’t even that useful > Anthropic’s growth is disappointing > OpenAI has zero moat In like a month. Crazy how the human mind works, huh?

after an exciting week of launches (muse wonder [full] & muse spark open), i want to write a note of appreciation to the amazing research teams at meta superintelligence labs on reaching such a special milestone ♥️ we started MSL and TBD a little more than a year ago and set a goal of producing a frontier model within a year or so. given where llama4 landed, that was an incredibly audacious goal, and we knew it wouldn't be easy. many people told us it would be impossible. we knew it was unlikely, but still worth doing. a remarkable group of researchers and engineers joined the effort from inside and outside meta. every single person came in, picked up a shovel, and got to work with earnestness and urgency. nobody asked whose job it was. we assembled a team of the most brilliant people i have ever had the opportunity to work with (and remember, i was an HRT intern 🙃). i am surrounded by ambitious, visionary, technically excellent, hard-working, pragmatic, thoughtful scientists, engineers, and product folks—people who will chase a weird loss spike past midnight just because they need to know why. these models are the product of their passion, hard work, and brilliance. somewhat paradoxically, when we started TBD, we set a principle of no deadlines. we knew we had an astronomical amount of work ahead of us—across pretraining, post-training, RL, multimodal, infrastructure, safety, data, AND frontier research. there was no use setting arbitrary timelines—we just had to get to work, be thoughtful, and build the foundations of a frontier research effort in record time. and run after run, this team did exactly that. our researchers are magicians. i can only describe building these models with this team as a wondrous journey of scientific discovery. i am constantly amazed by what we can accomplish with scaling. i will remember this past year for the rest of my life—the late nights, the broken runs, the evals that came back better than any of us dared to hope. watching this team create wonder after wonder has been a true and deep gift. more than just the models we released this week, we have built a machine that builds new models. it often sounds like a cop-out to say labs can just turn the crank to keep scaling, but now i have seen it first-hand. sure, it's a lot of work and a careful process, but we have built a scalable system to keep advancing at the frontier, and i am really proud of how fast this team keeps making these models better. lastly, i get to work with researchers who care deeply about how their work benefits humanity. it's easy to forget when everything is changing so fast, but the whole damn point is to make people's lives better. time and time again, i have seen our researchers, engineers, and product folks build our technology with care so it can truly be good for the world—whether that's building the best models for muse, thoughtfully open-sourcing strong models, or making sure the alignment and security of our systems are rock solid. this is a team of people who never forget there's a real person on the other side of every prompt. thank you to everyone at MSL for being part of this crazy journey over the past year. i'm so grateful for every one of you, and our work is not done!

Wow the new roadster looks quite amazing, good job @elonmusk

%$&*!!! whoa. This reads that Meta is looking to grant itself the rights to scrape websites across the open web - and train Meta's AI - once a company uses Facebook, Instagram, WhatsApp or other Meta services after October 30, 2026. So every biz. Read that again. Outrageous. 1/5

People laughing at mathematicians don’t seem to realize that these guys could take basically any other knowledge work job. You’re being snarky towards lions.