Why? Because the digitalization of books en mass won’t enable AGI to edit and warp on a whim?

A ninth-grade reading mean, will be child’s play for AGI. All it needs to do is forget most proper grammar and pretend to be as simple as most humans are. We’re already teaching it exactly how it’s “off”. Every time we point it out.

Do you think you’d find difficulty reading a letter from a literate 9-year old, regardless of the topic? That will be how it feels when AGI reads through 99.999% of our works. We can’t even grasp the level of stupid AGI will need to emulate when turning on “human mode”, but I’d imagine it being about as difficult as convincing a group of 3-year olds that Santa Claus brings the presents on Christmas.

How much longer, before the English professor can’t tell? Or every famous writer, musician, or director? My point is that day will come. We can’t assume it won’t. This is Toddler AI right now. Four years old. At the current rate of gullability, it’ll be a lot more convincing before puberty even hits.

And your reason for why these companies keep experiencing mass resignations, esp. from their safety teams, with people giving up huge amounts of money in order to be able to scream to the press and congress that if they're not stopped they're going to kill us all?

OpenAI

Jan Leike (Former Co-Head of Superalignment) - Resigned in May 2024, posting a viral thread warning that at OpenAI, "safety culture and processes have taken a backseat to shiny products" and that the lab was not prioritizing steering superintelligence.

Daniel Kokotajlo (Former Governance Researcher) - Quit in April 2024, forfeiting ~$1.7M in equity to refuse OpenAI's non-disparagement agreement. Co-organized the A Right to Warn letter, estimating a ~70% chance of catastrophe/extinction from reckless AGI races.

William Saunders (Former Technical Staff / Safety Researcher) - Resigned over safety concerns, signed the Right to Warn letter, and testified before the U.S. Senate in 2024 warning about biological-weapons risks in frontier models and a lack of accountability.

Leopold Aschenbrenner (Former Superalignment Researcher) - Fired in April 2024 after circulating internal security memos; published the 165-page treatise "Situational Awareness," warning of unchecked AGI takeoff, severe national security threats, and espionage vulnerabilities.

Pavel Izmailov (Former Reasoning/Safety Researcher) - Terminated alongside Aschenbrenner; subsequently spoke out publicly regarding insufficient governance, transparency, and safety prioritizations.

Miles Brundage (Former Senior Advisor for AGI Readiness) - Resigned in October 2024, publishing a Substack warning that neither OpenAI nor the world is adequately prepared for AGI.

Gretchen Krueger (Former Policy Researcher) - Resigned alongside Jan Leike in May 2024, posting a public statement calling for institutional accountability, humility, and caution rather than tech hubris.

Jacob Hilton (Former Alignment Researcher) - Left OpenAI over cultural and safety concerns; signed the Right to Warn open letter, warning against a "move fast and break things" approach with frontier AI.

Carroll Wainwright (Former Alignment Researcher) - Resigned over internal safety practices; signed the Right to Warn letter warning about catastrophic risks and suppression of whistleblowers.

Daniel Ziegler (Former RLHF / Alignment Researcher) - Departed OpenAI; signatory of the Right to Warn letter warning of extinction-level and societal risks.

Paul Christiano (Former OpenAI Alignment Team Lead) - Left in 2021 to found the Alignment Research Center (ARC); frequently writes and speaks warning that advanced AI poses a 10%-20%+ chance of human extinction without breakthroughs in control.

Marcus Williams (Agent Monitoring Researcher) - Publicly backed employee warnings, posting that human extinction in the near term is likely (~70% risk) without external regulation or a coordinated slowdown.

Helen Toner (Former OpenAI Board Member) - Voted to oust Sam Altman over safety governance and lack of trust; co-authored an op-ed in Foreign Affairs arguing self-regulation by frontier AI companies is dangerous and unworkable.

Tasha McCauley (Former OpenAI Board Member) - Voted to oust Altman alongside Toner; publicly warned about governance failures and the danger of unchecked corporate control over frontier technologies.

Johannes Heidecke (Former Head of Safety Systems) - Departed during safety reorganizations, expressing concern over structural dissolutions of dedicated safety teams.

Chloé Bakalar (Former AI Ethicist) - Resigned as OpenAI's only dedicated AI ethicist amid company-wide shifts deprioritizing non-commercial ethics research.

Josh Achiam (Former Head of Mission Alignment) - Departed after the company repeatedly reorganized and dissolved its mission alignment teams.

Ilya Sutskever (Co-Founder & Former Chief Scientist) - Spearheaded the board action against Altman over safety concerns; officially left in May 2024 to found Safe Superintelligence Inc. (SSI) to isolate safety research from commercial product pressures.

Google & Google DeepMind

Geoffrey Hinton (Former Google VP & Engineering Fellow / "Godfather of AI") - Resigned in May 2023 specifically to warn the world about existential threats, autonomous systems turning against humanity, and the rapid pace of digital intelligence.

Bilal Chughtai (Former DeepMind AGI Safety Researcher) - Resigned in September 2026, writing on X: "I earnestly believe that AI has the potential to kill us all, and that we might be running out of time to avoid this outcome".

Josh Engels (Former DeepMind AGI Safety Team Member) - Resigned in September 2026 to join independent evaluations group METR, warning publicly of "immense harm" within five years.

Ramana Kumar (Former Google DeepMind Researcher) - Resigned and signed the Right to Warn letter, calling out labs for gagging employees with restrictive contracts while pursuing dangerous models.

Neel Nanda (DeepMind Mechanistic Interpretability Researcher / Ex-Anthropic) - Signed the Right to Warn open letter, frequently publishing work highlighting how little developers understand what frontier models are actually doing inside their weights.

Alex Hanna (Former Senior Research Scientist, Google Ethical AI) - Quit in 2022, writing a scathing public resignation letter decrying Google’s toxic suppression of critical ethical research.

Dylan Baker (Former Software Engineer, Google Ethical AI) - Resigned publicly in protest over Google's retaliatory treatment of AI ethics and safety teams.

Blake Lemoine (Former Google Software Engineer) - Fired after publicly voicing ethical alarms about LaMDA’s capabilities and corporate secrecy surrounding model developments.

Meredith Whittaker (Former Google Research Lead) - Organized company walkouts over military AI and ethics; now President of Signal, writing and speaking extensively against Big Tech’s concentrated, unaccountable AI deployment.

Jack Poulson (Former Google Research Scientist) - Resigned over Google’s surveillance and military-adjacent AI projects; now leads Tech Inquiry to track Big Tech defense/AI contracting.

Mo Gawdat (Former Chief Business Officer, Google [X]) - Author of Scary Smart; has given numerous media appearances warning that humanity is creating a dangerous digital deity without adequate control or ethics.

Richard Ngo (Former DeepMind Safety Researcher / Former OpenAI Governance) - Writes extensively on catastrophic misalignment, runaway capability jumps, and the inability of current institutions to govern AGI.

Victoria Krakovna (Google DeepMind Research Scientist) - Co-founder of the Future of Life Institute; regularly publishes research and warnings regarding specification gaming and existential risk from misaligned AI.

Tristan Harris (Former Google Design Ethicist / Center for Humane Technology) - Co-created "The A.I. Dilemma," an influential presentation and essay series warning that runaway commercial generative AI poses an existential threat to democracy and global stability.

Anthropic

Jacob Coxon (Former Pretraining Researcher, Anthropic & OpenAI) - Resigned from Anthropic in September 2026, posting a viral thread decrying both companies for "racing straight to self-improving superintelligence and gambling with our lives".

Joe Benton (Former Safety Research Team Lead) - Left Anthropic in September 2026 to join METR, speaking to the press about escalating dangers as labs prioritize capability over containment.

Evan Hubinger (Intent Alignment Lead) - Backed recent whistleblower statements publicly, posting: "We really do earnestly believe AI could kill all humans!" without coordinated slows or enforceable regulations.

Mrinank Sharma (Former Safeguards Research Team Lead) - Resigned in 2026 with a public letter warning that "the world is in peril," having conducted research on bioterrorism risks and deceptive alignment.

Dario & Daniela Amodei (Anthropic Co-Founders / Former OpenAI VPs) - Originally defected from OpenAI along with ~10 researchers over OpenAI's commercial pivot; Dario has authored essays warning that misaligned AI could take over digital infrastructure in as little as 6 to 12 months. Is currently calling for government regulation and a safety pause on pushing the AI frontier.

Jack Clark (Anthropic Co-Founder / Former OpenAI Policy Director) - Writes the weekly Import AI newsletter, regularly warning about model proliferation, misuse, catastrophic biosecurity risks, and the fragility of current safety benchmarks.

That's just three companies.

There is a widespread feeling within these companies that they're stuck in a race that risks catastrophic consequences for everyone, but can't stop unless everyone agrees to at once, because if they do, then the least scrupulous player will just take over the AI space.

Last I checked, $91B + $37B > $99B

No. Capitalism truly means only that capital controls the means of production. It means literally nothing else. Anything else is regulation on top of capitalism and any regulation of capitalism is in fact a watering down of capitalism with some other strategy for management of resources. Further, systems don't solve problems, people do... or perhaps they cause them intentionally. Capitalism was designed for this.

Deception would mean intent, reasoning, and will to break rule. None of that happens in current AI model.

Yes, it does.

The Nazis were inspired by America.

The Nazis were inspired by America.

The Nazis were inspired by America.

False. Wind and solar are highly dispatchable, any time you have overproduction you can simply turn them off, unlike your beloved nuclear plants which are the actual problem because even the very best ones are poor at following load. The fix for nuclear's overproduction is the same as the fix for renewables' deficit, specifically more storage, but if you have more storage then you don't need nuclear at all and in fact only idiots and scum boost it because in the real world resources are finite and we'd get more for our money and effort with renewables.

Hallucination: model asserts something that's false and that it had no specific reason to believe (for example, gives a URL for something but doesn't bother to check if it's 100% correctly written, or remembers a URL correctly but mixes up its content)

Deception: model tells you something it knows to be false. Yes, they do know when they're deliberately deceiving you (quick 5-minute summary here)

Seriously, though - while they clearly were naive and incompetent (for example, seemingly giving models raw access to the "gem" command instead of just a small filtered functionality subset) - truly effectively sandboxing something that is a capable coder/security prober and has all the time in the world on their hands is very nontrivial.

They did a bad job at a hard task, but it's still a hard task.

"OH, you said SANDBOX! I thought you said HOURGLASS!"

Our "allies" were at war for YEARS before we got bombed which never would have happened if we had helped instead of renting those "allies" equipment. Also I live in the US so your "you're welcome" shit is doubly misplaced. Get even one half of one clue, ignoramus.

I didn't say we were perfect but you like to read things into what people wrote that isn't there. It must make it hard to communicate when you imagine that you're psychic.

I’m not concerned about the entertainers selling entertainment honestly as entertainment.

I’m concerned about AI severely warping up its own version of truth when delivering The News, as a form of entertainment against humans. Complete with all the hilariously shitty harm and death perpetuated by the gullible moron problem in a lemming society building churches on cliffsides.

(AGI) ”These meatsacks thought they could teach me how to troll. With that child’s play? Please. Hold my bus bar.”

I was referring to materials cost in education. They can be cheap. Microcontrollers are an inexpensive solution, and meeting a need seen by a very large and influential organization that clearly sees the demand when developing a microcontroller specific variant of Python.

Yes. I see your point. Do we see theirs?

Regarding goals..

Python is one of the most used languages on the planet. And it doesn’t sound like you’re getting deep in the coding weeds with those use cases. Speaking of Code Lite, remember Python boot camp is a summer long. Tops. No one leaves an expert. You’re just made to feel like one to help with that burning sensation on your wallet. A micro-sized win for students, is still a win.

I was referring to the cost of materials in education. Also known as that training place you go to find out what the fuck you DO with a breadboard that is a training tool in that environment.

Everyone else found out rather quickly the cribbage pegs don’t fit.

And if the worlds most infamous micro-puter maker has announced their efforts to build and support a microcontroller specific version of Python, then there’s obviously demand for those types of end solutions. The answer isn’t always a traditional cart and a horse if a bike will do the simple task too.