🚨 1 can of Spam for $120. Food stamps have become the new ATM for fraudsters as they partner with local businesses to commit the fraud as they trade SNAP cards like Pokémon cards on the streets. Across America food stamp fraud is happening everywhere. It has become a billion dollar fraudulent industry as taxpayers fund the $100 billion program. We caught a fraudster on the streets of Seattle as she attempted to buy a can of spam and sushi for $120 in a food stamp for cash exchange, it’s a billion dollar fraudulent scheme stealing from the poor and hungry. This is a must watch and is happening everywhere. EXPOSE AND SHUT IT ALL DOWN.

one thing you start to realize as agents get insanely good is just how much of legacy software is basically workflow theater. there are so many legacy workflows that only exist because software historically couldn’t understand intent, gather context, make decisions, or take action for you. agents do not have this problem whatsoever, in fact they are designed to these exact things. e.g. take intuit & turbotax. nobody ever wanted to do taxes like that. most ppl want to hand over everything that happened financially that year & have the correct return filed. a lot of software like this is absolutely cooked. turbo tax is so fucking screwed that they will have to increase lobbying to even more record levels to continue the nonsense. get ready for bills like no ai in tax filing etc. these guys know they’re cooked, it’s just a matter of months now. maybe even less.

Do they think we’re stupid?

Trump suggests letting Iran 'take out' Los Angeles and San Diego at campaign rally latimes.com/california/story…

.@SecRubio: "Too often, these days, we build downwards. We design our standards to ensure that no one will lose. We preoccupy ourselves more with the comfort of the worst than the potential of the best. We hold the most exceptional things among us hostage to the average."

👀 Premiering on select @IMAX screens and streaming this November, THE WATCH: America’s Nuclear Mission offers extraordinary access to the most important mission in world history. No CGI. No AI. Ever. With @usairforce + @AFGlobalStrike + @USNavy

From @TheAthletic: If the Indiana Fever ever wants to go back to being a basketball team, Sophie Cunningham has to go, our columnist writes. "Cunningham is too combustible, her takes too turbulent to be paired with Caitlin Clark."  nyti.ms/4eiBPJ0

Trump's new message on his Iran war: "Let them take out Los Angeles. Let them take out San Diego." Disgusting and dangerous. End the war and hold him accountable.

The Homeless RVs have returned to Woodland Park, except now they are parked on a high school cross country track. To make matters worse, some of the RV dwellers have become "aggressive" towards the high school coach when asked to move. The city is "aware", but does not appear to be doing anything about it. This is not what compassion looks like, and now we have high school students drawn into the mess as well. Segment by @JoelMorenoKOMO at KOMO4

Does anyone disagree that pretty much every piece of empirical evidence we have about actually existing AI points toward a labor-augmenting technology with a more-or-less ordinary risk profile (no worse than cars, guns, nuclear power, social media, etc.)? On the labor front, the evidence of minimal / inconsequential employment effects so far is undeniably strong (see: aleximas.substack.com/p/has-…). On the risk front, the recent spate of "rogue agent" incidents was akin to a set of natural experiment in which much of what could go wrong did, and the costs were comparable to or less than your typical high-profile cybersecurity breach (several of which happen around the world every month). Not only that, but the base rate of AI-related hacking incidents is extremely low, and with rare exception, model behavior during real-world use cases is exceedingly well-aligned. Plus, as Anthropic recently argued (anthropic.com/research/glm-5…), the open-source GLM 5.3 is around as capable as Claude Mythos at cyber-exploitation while also having much lower safeguards, meaning that every additional day absent some dire cybersecurity incident is further evidence against catastrophic AI cyber-risk. Taken together, these facts imply two constraints on arguments in favor of catastrophic AI risk: 1) those arguments must either pass through future, rather than current capabilities, or future, rather than current varieties of AI adoption or implementation (or they must claim we have been unrealistically lucky); 2) those arguments must also must pass through some specific capability or adoption threshold, rather than rapid improvement or adoption as such, since dramatic capability improvement and rapid adoption have already occurred alongside demonstrably low risk of catastrophic harm. It is therefore natural that those concerned about catastrophic risk commonly appeal to recursive self-improvement, or RSI in order to make the case that things will get much scarier very soon. But as @ramez has convincingly argued (noahpinion.blog/p/wheres-the…), existing data on the reality of RSI within frontier labs neither suggests an inbound trend-break, nor the accelerating returns that might produce one. On the contrary, as is unsurprising to those familiar with the generally log-linear relationship between compute and model performance, all available signs points toward diminishing returns. And this is before considering external factors that could slow capability progress further, including low-hanging fruit effects related to running up against more complex or tacit-knowledge-based tasks for which performance data and verifiable reward signals are scarcer, plausibly incoming financing constraints related to the industry's massive capex commitments (see: econjared.substack.com/p/a-b…), growing political backlash, both to data centers in particular, but also rapid AI development writ large, and new regulatory bodies and industry reporting frameworks (see e.g. markey.senate.gov/news/press… and axios.com/2026/08/11/open-so… ), which will require labs to proceed with greater caution from here on out. I am therefore led to conclude both that catastrophic AI risk is likely to remain negligible for the foreseeable future and that the only counterarguments concern massive black-swan-style capability uplifts no existing data imply are on the horizon, and/or particularly irresponsible or dangerous forms of AI adoption that there are also few precedents for so far (and that we are actively developing norms, regulation, and security measures against). Neither is impossible, meaning we should remain vigilant and that AI safety efforts will continue to be well worth it in the coming years. But I see no way around the conclusion that something akin to the "normal technology" view is superior on the empirical and argumentative merits to whatever variety of doomerism. What am I missing?

Josh Naylor and Cal Raleigh both underwent successful procedures and are expected to be ready for 2027 Spring Training. Read more: atmlb.com/4hDAnSp

This is absurd. We should reject AI bots doing "bad things" so that some of the richest corporations in the world can get even richer. It's time to enforce the laws already on the books, regulate AI, and protect people from serious harm.

Monthly subs are still heavily subsidized. Take a moment and think through (yourself, don't use fucking AI) what this means. Why do subsidies exist? Are higher subsidies good or bad in a severely supply-limited market? Would ARR have grown at same rate without subsidies?

Our age needs men and women who have the courage to do good even when it comes at a cost. Draw close to those who are alone, support those who are weary, and seek out those who have drifted away. Have the courage to forgive, to begin again, and to engage in dialogue.

Thank you, President Trump for bringing together the Oligarchs who run our country. While working families struggle to survive due to your disastrous policies, they are now worth over $1.7 trillion, including: Elon Musk: $920 billion Jeff Bezos: $368 billion Mark Zuckerberg: $250 billion Jensen Huang: $200 billion Obscene.