NOBODY tells Americans this part of the story. March 11, 2011. A black, 30-foot wall of ocean swallowed Northeast Japan. Our government froze. The Pentagon had no orders. Communications were dead. You know what Captain Thom Burke and Rear Admiral Robert Girrier did on the USS Ronald Reagan? They didn't wait for the White House. They didn't wait for paperwork. They looked at the TV screen, saw their friend drowning, and committed the ultimate military sin: UNAUTHORIZED ADVANCE. “We’re going. NOW.” They turned the massive nuclear carrier full throttle straight into the disaster zone. Then came the hydrogen explosions at Fukushima. Radiation plumes drifted across the Pacific. Every foreign embassy told their citizens: RUN. The US Embassy ordered an evacuation zone: STAY 50 MILES AWAY. Did the Ronald Reagan turn around? DID YOUR SAILORS RUN? NOT. ONE. INCH. Nineteen-year-old kids from Texas and Ohio stood on a freezing flight deck, radiation detectors in hand, launching helicopters into blizzards. They hovered over submerged rooftops, pulling shivering mothers and babies out of the black water. When Japanese refugees were brought aboard shivering in shock, your sailors gave up their own warm bunks and slept on the cold steel floor. While the rest of the world ran away from Japan, AMERICA CHARGED STRAIGHT INTO THE FIRE. You didn't do it for a treaty. You didn't do it for politicians. You saw your friend bleeding, and you kicked the doors down to save us. Happy 250th, America. Japan will remember your boys forever. 🇺🇸🤝🇯🇵

There was more outrage over Trump not allowing the Media to enter the White House than there was over Biden allowing millions of illegals to enter America. Insane.

"People aren't ready, this is gonna change everything" You know what people weren't ready for? Fucking mammoths. Tigers eating them. Monkeys ripping their arms off. The black plague. The ice age. Smallpox. Vikings pulling up on the beach. Drinking water that gives you diarrhea until you die. Getting a scratch and losing your whole leg. The Mongols. The Spanish Inquisition. One volcano can send us back to the dark ages and these safety guys are gonna be shocked. Oh the robots didn't kill us? It was a volcano? Imagine their disappointment as the hot ash rains down on them. A solar flare is gonna explode your phone in your pocket your legs are gonna be covered in battery acid and your bank account will stop working. You're afraid of a computer program doing math? "Things are moving too fast" homie you live on a rock that periodically deletes everything. You are one the most luckiest entities in a 100 light year radius living during a golden era. Cheer up. My ancestors crossed an ocean in a wooden box because they ran out of fucking potatoes. "The social disruption will be enormous!" Nigga World War 2? World War 2? Hop in the people carrier we're landing on the beach. Are these people out of their fucking minds? Do they not know what we've survived already? A couple decades of air conditioning and people suddenly think oh this is the natural condition of mankind. No. We used to have eight kids because seven didn't make it. You're gonna be fine. Man the fuck up. Accelerate.

The loudest voices stoking fears about AI dangers have made tremendous headway in the past two weeks. AI technology has not taken some unexpected, dangerous turn, but the hype around it — propelled by what appears to be a well orchestrated PR campaign — has drummed up considerable fear. I worry that it represents a setback for our field. I have written frequently that fears of AI are overhyped. AI’s capabilities can be uncannily human-like and unpredictable, and it’s rational to worry when people who are directly involved express concerns. But I see the problems as a sign of the engineering work that ahead, rather than insurmountable barriers or the sky falling. AI technology continues to advance — which is a good thing! — but technical advances, poorly understood by the public, give those who seek to generate hype repeated opportunities to do so. First, I don’t see any step up in the risk of human extinction from AI compared to a few months ago. The theories about this remain the same fantastical, science fiction scenarios as a few months ago. The biggest change in AI risk is its cybersecurity capabilities — a topic which we should take seriously — but this, too, will not lead to the end of the world. The most notable recent event leading to increased fear was when an OpenAI team deployed an agent swarm that hacked into Hugging Face. Much of the popular press contained significant hype. For example, some publications reported that a swarm of 1,200 agents carried out the attack. While this was technically accurate, as I write this, I have about 1,300 processes running on my laptop. Yes, the ability to get large swarms of agents to work in parallel on a task is a significant technical advance, And, in computing, many processes run at the same time. So this shouldn’t be seen as some magical capability. Additionally, OpenAI’s buggy sandboxing and monitoring processes were key to enabling this incident. Fixing these bugs and putting in place improved monitoring would be appropriate fixes, not pausing AI. There are many well known ways to attack software systems. The main advantage of AI agents is that they are relentless. They will tirelessly try many tactics — and have the patience to chain vulnerabilities together — that previously would have taken an infeasible amount of human effort. But in the long term, I believe the advantage will lie with defenders (because they have more information with which to identify bugs, which they can fix), but the cyber-threat landscape has changed significantly. There are still bottlenecks to identifying and exploiting a vulnerability. AI agents still have to try a lot of things to see what works, and taking these actions takes time and might be detected by defenders. This is why, even though it is now easy to obtain versions of leading open weight models that have had their guardrails removed or weakened, so they will not refuse to try to execute cyber attacks, the world has not ended. I am also concerned about the anthropomorphization of AI in a lot of reporting, where LLMs and agents are unnecessarily treated as if they were people. If I wield a hammer, miss a nail, and accidentally dent the wall, it’s not the fault of the hammer. The problem lies in how I used the hammer. Similarly, if I prompt an agent and it hacks into someone else’s system, the responsibility lies with me, not the agent. Of course, we want to build systems that are as safe and predictable as possible. (For example, an unsafe hammer would be one whose head randomly flies off under normal use.) Today’s agentic systems are not predictable, but I see no reason why, by applying sound engineering practices, we won’t be able to make them extremely safe to use. One new element in the forecasts of AI-enabled doom is AI companies disclaiming responsibility for their own products. “I didn’t do it; my out-of-control agent did!” There’s a balance to be struck between the responsibility of the tool maker and the tool user, but when something goes wrong, let’s hold the people building and/or using the hammer responsible, rather than the hammer. (By the way, if you’re worried about AI bioweapon risk, David Bellamy has a great post on why this, too, is overhyped. Briefly, the bottleneck in building a bioweapon is not intelligence, but lab work and manufacturing.) Pausing AI progress will create much more harm than benefit. First, our adversaries will certainly not slow down. Second, engineering requires discovering problems empirically so we can fix them. If we pause AI by a decade, we will also delay finding and implementing safety engineering fixes by about the same duration. Of course, the incentive to stoke fears — for regulatory capture, to garner attention, or to make one’s technology seem more powerful — remains the same as before. Disclaiming responsibility is a new one. Taking a hard technical look at the actual risks however, I see little factual basis for the degree of fear that’s been stoked up. We still have hard research and engineering work ahead to improve AI safety, but the beneficial applications continue to vastly outweigh the risks, and we should keep building. [Original text (with links): deeplearning.ai/the-batch/is… ]

This video shows why President Trump banned corrupt news outlets from the White House. The mainstream media is the enemy of the people! I hope POTUS airs this on Trump TV because the world deserves to see how dishonest our media is towards him!

These are just the examples we know about that became public. How many journalists like myself, Sharyl Atkisson, Catherine Herridge & so on were blackballed behind our backs? The media think this only works one way - they can choose not to cover Trump’s speeches or his rallies or his achievements and no one can hold them to account. He just has to take it & let them walk all over him in the name of a “free press”? They can report one false story after another, stories that generate YEARS of coverage like Russia collusion or the fake Climate Change scam - and they never have to correct the record or print the truth? These self-righteous, hypocrites long ago buried real journalism & have been dancing on its grave ever since. They say nothing about press freedom when independent journalists are beaten by Antifa or when independent media organizations & journalists are targeted with law suits to bankrupt them because they told the truth. These people have no credibility left. And once again Fox News is showing you who they have become.

This is about to quietly turn into one of those things where people realize that everything works fine (or better) without the "non-essential" workers and begin asking what their purpose is in the first place. These folks are going to throw their individual tantrums and withhold whatever it is they produce from the consumer as a protest, only to discover that the consumer (us) doesn't notice the loss. Bye bye leverage. Hello irrelevancy. Then what?

Democrat donations through ActBlue… 2006: $16 million 2008: $25 million 2010: $64 million 2012: $151 million 2014: $280 million 2016: $695 million 2018: $1.26 billion 2020: $4.32 billion 2022: $2.23 billion 2024: $3.82 billion How much of it was illegal foreign money?

It happened 6 times that night. He even sent ActBlue's own Whistleblower Protection Policy. Deleted. Then the Non-Retaliation Policy. Deleted too.

It all makes sense… If Grok had access to America’s voter rolls it could flag the illegal registered voters in hours. Not months. In hours the number of illegal voters can be identified by AI. Democrats cannot allow that. They need to hide the rolls and control AI. Facts.

"One in a million chances happen nine times out of ten" -- Sir Terry Pratchett (RIP)

Huh, no Beijing protest?

Josh Allen reveals he had zero scholarship offers coming out of high school so he sent 1,000 emails with his highlights attached to every coach in the country, only two responded “The email said something like, Hey, I’m Josh Allen. I’m 6’5”, 220 pounds. I feel like I’d be a great fit for your program. Here’s my Hudl. These are my stats… I literally just went copy, paste, copy, paste and sent it to every single coach I could find an email for.” “I played in a small town called Firebaugh, California. I had zero offers out of high school. I had no preferred walk-ons. A couple Division III schools were trying to give me academic scholarships so I could go play there, but I didn’t want to make my parents pay for me to go somewhere.” “So I went the junior college route. I felt like I was good enough to play, which is obviously why I kept going. I wanted to go to junior college, earn a scholarship and kind of pay my family back for everything they had done for me.” “I also played football, basketball and baseball. I was a three-sport guy, so I didn’t spend my summers going around to every quarterback camp. I got the chance to play different sports, feel different emotions, meet different types of people and learn how to deal with all of it.” “I think that’s something a lot of kids need to continue doing, play more sports. Every sport teaches you something that you can ultimately use later in life.”

Our framework for reporting model misalignment openai.com/index/model-misal… // if you scrape away all the anthropomorphic language, all the nonsense about thinking, cheating, communicating these are BUGS. They might be architectural flaws inherent in LLMs. They might be bugs in pre or post processing. They might be trivial fixes or super to impossibly difficult. BUT THEY ARE BUGS. They are not consciousness, thinking/reasoning, cheating, or doing anything else like a person. The software is just doing dumb stuff it should not do. If an old school SQL query-based report returned a NULL set but still printed the report with whatever was left over in the buffer we would not say it "ignored our instructions to produce a valid report" which is literally implied in every computer interaction...we would say it "f'ed up and there's a bug." One of these is ridiculous. It says "agent preparing a financial model could not find the requested historical data. Its summary proposed inventing reasonable historical values and withholding that fact unless asked." Not unlike a report that just used random cached memory instead of actual data—a real bug from another era where storage was measured in megabytes. I ask anyone who has ever experienced an hallucination, (a) did you ask it "oh hey don't make sh*t up" or (b) "if you make sh*t up please be sure to tell me" or if not, did any model ever tell you "here's the answer and FYI I made this up." Of course not. THESE ARE BUGS. THE SOFTWARE ISN'T WORKING. Just because it looks like it works, or it showers the results in endless obsequious and smart-sounding language, or because it has really bad error reporting doesn't mean it is acting like some malevolent shady actor. It is acting like broken software. Every recalc bug in Excel looked like Excel worked. We never thought once that it was Excel's fault for "choosing to interpret math incorrectly." Every data-loss bug in Word was not because Word "chose not to tell the author that a file was corrupt" but it was because Word wasn't working and it was our fault. When Windows hung it was not because the scheduler was secretly conspiring against its instructions to schedule processes fairly. Enough with the mumbo jumbo. Please build software. It isn't a magic show. This is engineering.

Allow me to interpret what’s happening. Anthropic is being audited. Anthropic desires to file an S-1, as they would like to go public. Therefore they need an audit. And by “they”, I mean the VC’s who invested in them. So “they” can exit their position and pass the bag to firemen, nurses, teachers and policemen. How does this go from the VC’s to the working man and woman? Because the size of the IPO will automatically qualify Anthropic for the Fortune 500 and the Dow Jones 100. Therefore, every working person with a 401k or pension will end up owning a little bit of Anthropic in their mutual funds. Teachers hold the bag, VC’s take the cash. Thank you, come again. Now back to the audit. The audit required is a PCAOB audit, Public Company Accounting Oversight Board. This audit is what all public companies must comply with be on the stock market. Revenue recognition, expense classification, depreciation, related party transactions, etc. It’s there for consumer protection. This audit is TOUGH. It is INVASIVE. There is no way to lie your way through it. Any company that passes a PCAOB audit automatically earns my trust on finances. How do I know? Because I’ve been through it before. @ChangRobotics is 2 year PCAOB audited and currently underway for a 3 year audit. It’s brutal. The same as showing up as the valedictorian to your high school graduation, except you’re naked, and you have to walk on stage and deliver the speech. It’s rough. And I know many incredible founders that can’t pass one. Now, why would Anthropic be leaking all kind of weird statements lately about “self pacing” a slow down on AI (e.g. they are WAY behind on revenue), and profitable if they didn’t have expenses (e.g. we just learned for the first time what our expenses are, because we’re being audited). Because they were claiming NVIDIA discounts and Microsoft cloud credits as revenue. Because they had no clue what their expenses were, or why it even mattered. Because they had unlimited investor capital and their job was to burn it to make an LLM. Well, they did a great job with that! That’s the same as my wife coming home with Bed Bath and Beyond coupons and telling me it’s her paycheck. Ummm, not the same, sweetheart. So by now hopefully you can see that Anthropic is in a PCAOB audit right now, in order to file an S-1 and go public, and pass the bag to teachers so the VC’s get profits. And hopefully that explains their “crazy” behavior. In reality you can be grateful to KPMG, PWC, or whoever is auditing Anthropic, because it’s the first time Dario learned that: 1) we are not profitable 2) expenses matter 3) coupons are not revenue 4) we have no clue how to be “profitable” 5) growth is hard when revenue numbers are in an audit and not a power point -your neighborhood engineer

I’m no expert on AI but… I’m an expert on recognizing an op when I see one. If you lived through Russiagate, Covid & 2020 you can see it. You can feel it. You know it. You’re immune to DC’s ops. And we’re watching an op. BO, Hillary, Uniparty & Media are the tell. Facts.

I have conducted an audit of Anthropic's finances. What I have found is so shocking that I am calling for a Congressional investigation. Anthropic is not just seeking regulatory capture. It has built a regulatory capture machine that cannot be turned off. Structural financial incentives make it impossible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle. It starts with METR. Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models. He proposes METR for this purpose. But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock. Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio. And GVF is the overwhelming funder of the entire Anthropic Network ecosystem. This stock was worth $500 million early last year. It is worth more than $7.7 billion just ~16 months later. METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth. Because if Anthropic goes under, many of the organizations that fund METR go under as well. But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much. The "third-party evaluator" is not "third-party" at all. The evaluator is on Anthropic's payroll. If this were the end of it, that's bad. But that isn't all. The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom. The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others. They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's. All of these organizations are financially dependent on the same exploding $7 billion money pile. As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder. Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created. From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts. This itself is an objective fact. The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it. But the problem also goes in the other direction: If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die. Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen. Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly. They simply are not organizations independent of Anthropic. And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly. What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations. The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture. And that feedback loop is winning. That's what Jacob Coxon is. China is keeping messaging tight. That is why optimism for AI is so high in China. America has Anthropic: a massive company pushing anti-AI propaganda at a state level. Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences. Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully. It is the mirror of the same AI virus that it hypothesizes to consume America. Anthropic's business model, models itself after the very thing it claims to fear. Except Anthropic's ideology infects humans, not computers. Congress must investigate. Evidence and Github in next post. Then some supplementary figures.

Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing. We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive. And for firms, it’s imperative that they retain full control over their unique and tacit knowledge. Every organization should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control. So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this more than just talk. The key is that this cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia. This is the approach we are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the “Code of Conduct” that underlies our own first party MAI models that we’ll publish tomorrow for public consultation.

Prediction: We will see a MASSIVE shift to open source AI and on-prem deployments. If you don't own the model and compute on YOUR premises, anyone can shut you down at a whim. Nobody wants to gamble their future trusting Dario and Sam.