steven sprague

Google launched "AI Mode" today. I asked it to read a public website I operate. It said the site "does not exist." Then it asked me to paste the data into the chat myself. This isn't AI. It's a search engine with a new label. It needs a warning label. rootz.global/blog/google-ai…

@RootzOrigin @amazon exploring a new model for AI and public companies Enjoy

@amazon — Amazon's AI Infrastructure Bet Deepens as AWS Signals Dominate Filing Intelligence The 98 all-time AI queries on Origin sug... Use any AI to research @amazon origin.rootz.global/coverage/AMZN #AIinvesting #AlternativeData

@rohanpaul_ai this is why we built origin.rootz.global to experiment with building for the AI as an investment assistant. IR does not speak AI, SEC filings do not speak AI. making it easy with a 95% reduction in token consumption tell your agent to try Origin.rootz.global for access

Andrej Karpathy: "the industry just has to reconfigure in so many ways, like the customer is not the human anymore, it's agents who are acting on behalf of humans. And this refactoring will be probably substantial in the space."

@CryptoTice_ rootz.global/blog/saas-repl… i have been thinking about what this really means

THE CEO BUILDING THE AI REPLACING YOU JUST ISSUED A WARNING. 🚨 "Software engineering will be fully automated in 12 months." Not assisted. Not augmented. FULLY automated. This isn't a random prediction. This is the man who knows exactly what his own technology can do. And when. Two types of engineers exist right now. Building with AI. Or waiting to see what happens. One of those groups has 12 months. The clock is running. - Lawyers being replaced. - Accountants being replaced. - White collar jobs disappearing. - Now software engineers on the list. The highest paid profession in tech. Gone in 12 months. According to the man building the thing replacing them. Every skill you spent years learning. Every line of code you wrote by hand. Every certification you earned. 12 months. The only question left is what you do with the time.

@Ric_RTP The world is changing but it is important to learn what is really needed rootz.global/blog/saas-repl…

This is one of the dumbest business decisions ever. A $250 billion company just invested in the startup that's going to put it out of business. On PURPOSE. The company is Accenture. 786,000 employees. The largest IT consulting firm on Earth. Their entire business is renting out human consultants by the hour to build software for Fortune 500 companies. The startup is Replit. A platform that lets ANYONE build software using natural language. No coders. No consultants. Just type what you want and the AI builds it. On Wednesday, Accenture announced they invested in Replit and signed a strategic partnership to bring "vibecoding" to enterprises globally. Isn't this funny? The biggest seller of human coders on Earth just funded the company whose entire mission is making human coders obsolete. The part that breaks my brain: Replit's valuation jumped to $9 billion after the deal. Up 3X in 6 months. Accenture's stock? Down 42% in the last 12 months. From $389 to $186. The market figured out what was coming before Accenture did. In February, Anthropic released a tool called Claude Code. Accenture stock crashed 9.6% in a single day. JPMorgan analyst Toby Ogg said the entire consulting sector "is now being sentenced before trial." That's a Wall Street analyst saying the death sentence has already been delivered. And Accenture's response? They started laying people off. 11,000 employees gone in late 2025. CEO Julie Sweet said it directly on the earnings call: "We are exiting on a compressed timeline people where reskilling is not a viable path." What this really means: We're firing humans because AI can do their jobs. Then she announced an $865 million "restructuring program" to make it official. Now zoom out and look at what just happened... Accenture's clients already include Atlassian, Adobe, Databricks, and Zillow. Replit's clients? Atlassian, Adobe, Databricks, and Zillow. Same logos. Same projects. Different vendor. Every billable hour Accenture saves a client by switching them to Replit is a billable hour Accenture doesn't get to charge for. They're cannibalizing their core revenue and calling it a partnership. They're literally paying for their OWN funeral. Why they did it anyway: Wall Street has been hammering Accenture for months. The narrative is clear: AI is killing consulting and Accenture is the slowest to adapt. Stock down 42%. 11,000 layoffs. Analysts cutting price targets every week. The Replit investment isn't a strategy. They just needed to look "AI-native" to investors before the next earnings call. So they wrote a check to the company building their replacement. And now every Fortune 500 CEO who reads this announcement is going to ask the same question: If Accenture themselves is investing in vibecoding, why are we still paying Accenture $300 an hour to do what Replit does for $20 a month? That question has only one answer... We're NOT. Because this is literally the same playbook every dying industry follows: Newspapers buying digital-first startups in 2008. Taxi companies launching apps in 2013. Hotel chains "partnering" with Airbnb-style platforms in 2016. Every single one ended the same way. The new tool wins. The old company shrinks. The employees get laid off in batches with words like "restructuring" and "rotation" and "reinvention." Accenture isn't building the future. They're funding the people doing it because they can't. This is more proof that AI will replace even more jobs.

@EvanLuthra But the Web does not speak AI, the world does not yet speak AI but it will.... doing the work. origin.rootz.global

🚨RESEARCHERS JUST MATHEMATICALLY PROVED THAT AI LAYOFFS WILL DESTROY THE ECONOMY.. AND EVERY CEO ALREADY KNOWS IT.. BUT NONE OF THEM CAN STOP.. Two researchers from UPenn and Boston University just published a paper called "The AI Layoff Trap".. They proved something terrifying.. Every company replacing workers with AI is also firing its own customers.. Every laid-off employee is someone who used to spend money.. When enough people lose their jobs.. Nobody can afford to buy anything.. And the companies that fired everyone go bankrupt selling products to an economy with no purchasing power.. Every CEO can see this coming.. The math is obvious.. Fire workers.. Lose customers.. Lose revenue.. Collapse.. But here's the trap.. No company can afford to stop.. If you don't automate.. Your competitor will.. They cut costs.. Undercut your prices.. Steal your market share.. And you die anyway.. So every company automates.. Knowing it's collectively suicidal.. Because the alternative is dying alone while everyone else survives.. It's a Prisoner's Dilemma.. And the researchers proved it mathematically.. The numbers are already stacking up.. Block cut nearly half its 10,000 employees this year.. CEO Jack Dorsey said AI made those roles unnecessary and that "within the next year, the majority of companies will reach the same conclusion".. Salesforce replaced 4,000 customer support agents with AI.. Goldman Sachs deployed an AI coder that lets one senior engineer do the work of a five-person team.. Over 100,000 tech workers were laid off in 2025 alone.. AI was cited as the primary driver in more than half the cases.. 80% of US workers hold jobs with tasks susceptible to AI automation.. And here's what should scare policymakers.. The researchers tested every proposed solution.. Universal Basic Income.. Doesn't fix it.. It raises living standards but doesn't change a single company's incentive to automate.. Capital income taxes.. Don't fix it.. They change profit levels but not the per-task decision to replace a human.. Worker equity and profit sharing.. Narrows the gap but can't close it.. Collective bargaining.. Can't fix it.. Because automating is a dominant strategy.. No voluntary agreement between companies is self-enforcing.. Only one thing works.. A Pigouvian automation tax.. A per-task charge that forces every company to pay for the demand it destroys when it fires a worker.. The researchers call it a "Red Queen effect".. Better AI doesn't solve the problem.. It makes it worse.. Because every company sees a bigger market share gain from automating faster than rivals.. But at the end.. Everyone automates equally.. The gains cancel out.. And the only thing left is more destroyed demand.. The paper's conclusion is devastating.. This isn't a transfer from workers to company owners.. Both sides lose.. Workers lose their income.. Companies lose their customers.. It's a deadweight loss that harms everyone.. And no market force can break the cycle.. The AI layoff trap isn't a prediction.. It's already happening.. And the math says it won't stop on its own.

working on the future of the internet speaking to agents. Try chatgpt.com/g/g-69d9c25045… and exploring using Github as an origin [public data source. github.com/skswave/origin… ask grok to try explore the github or origin.rootz.global and aska bout any public stock.

@r0ck3t23 Ever changed a transmission or plumbed a sink or drilled for oil Or made content that made you cry. Stupid Indian software devs yes....

Dara Khosrowshahi, CEO of Uber, says AI will replace the work that 70 to 80 percent of humans do. Not eventually. Within the next decade. When asked what those people will do instead, he gave a two-word answer. Khosrowshahi: “I don’t know.” That isn’t evasion. It’s the most honest sentence a CEO has spoken publicly about what’s coming. Khosrowshahi: “AI will be able to replace the work that 70, 80% of humans can do over the next 10 years. 10 years is not a lot of time for society to adjust.” Society has absorbed disruption before. Farming went from employing most of the population to less than one percent. Workers moved into factories. Factories gave way to offices. Offices gave way to screens. Every previous transition had one thing in common. Time. Decades to retrain. Decades for old industries to fade while new ones scaled. Decades for entire generations to shift without collapsing. AI doesn’t offer decades. It offers ten years. Khosrowshahi: “Probably in the next 10 years for intellectual jobs, probably call it 15 years for physical, 15 to 20 years for physical jobs because physical AI is harder.” Most people assume automation hits blue-collar work first. The opposite is true. Replacing physical labor requires robots. Capital. Hardware that fights gravity and navigates chaos. Replacing intellectual labor requires software and a server. Analyzing a contract. Writing a report. Synthesizing a strategy. Diagnosing a patient from imaging. None of it needs a body. The work that felt safest is the work that falls first. A plumber’s hands are harder to replace than a lawyer’s mind. That is the inversion nobody prepared for. Khosrowshahi isn’t speculating from the outside. He runs a company built on eliminating friction between demand and labor. He talks to other CEOs. They discuss the scale of what’s coming behind closed doors. When pressed on the plan for the displaced, the answer wasn’t reassuring. It was honest. Khosrowshahi: “I don’t know.” The people building the disruption are fully aware there is no replacement system waiting on the other side. No retraining infrastructure at scale. No new industry ready to absorb billions of displaced workers inside a single decade. They are building anyway. Khosrowshahi: “You can’t slow down the rate of change.” Every previous industrial revolution gave society a generation to adapt. This one gives it ten years. The window is open right now. It will not stay open long.

@GeniusGTX What I am learning is that the WEB does not Speak AI. You expect it to but it doesn't. Play with https://Origin@rootz.global to get a sense what is possible to understand on first blush with no tools AI could only "see" 20% of the fortune 500 IR web pages.....

Marc Andreessen says if he were 18 right now, AI is "100% what I would be spending all of my time on." When the co-founder of a16z shares his opinion on what to do in tech, you listen. When he looks at AI today, he sees something that has never existed before in the history of software. AI agents can operate with very little human involvement. The reason is they can run on a Unix shell, the same command line system that has powered computers for decades. With a single instruction from you, it can access your files, your network, and your devices. Or you can instruct it to rewrite its own code. And even if it needs a new capability, you can allow it to write the code itself and install it. Here's a real example of this happening: One of his friends had his agent rewrite the firmware on a robot dog that could barely climb stairs. The agent rebuilt the entire control system. The dog is now a functional pet for his kids, and whenever something breaks, the agent just fixes the code again. Andreessen says no widely deployed software system in history has ever been able to understand and modify itself like this. He calls it "an incredible conceptual breakthrough." — Marc Andreessen (@pmarca), co-founder at a16z (@a16z) on the Latent Space podcast (@latentspacepod)

exploring teaching the Web to speak AI and data with origin try this GPT it is fun and valuable. then prompt it to tell you what companies are saing in their Q's about AI. chatgpt.com/g/g-69d9c25045…

@r0ck3t23 Welcome to the real start of trusted computing. Measured computeverified attestation and policy releasing keys only to measured compute And agents with identity Measured skills Agents with a chain a reputation Mcp policy controls Encryption and everything must be signed.

Anthropic just built a model so dangerous they refuse to release it. Not for competitive reasons. Out of fear. Claude Mythos Preview found thousands of zero-day exploits across every major operating system and every major web browser on Earth. The numbers don’t read like real life. $50 to find a 27-year-old bug in OpenBSD. One of the most security-hardened operating systems ever built. Hidden for nearly three decades. Found for the cost of a lunch. Under $1,000 to build a working remote code execution exploit on FreeBSD. Unauthenticated root access from anywhere on the internet. No credentials required. Under $2,000 to chain multiple Linux kernel vulnerabilities into a complete privilege escalation exploit. The kind of attack that previously required elite researchers working for weeks. Mythos was never trained for cybersecurity. It was trained to code. The offensive capabilities emerged on their own. Amodei: “We trained it to be good at code, but as a side effect of being good at code, it’s also good at cyber.” Nobody pointed this model at security. They pointed it at software engineering. It taught itself to break everything. Anthropic engineers with zero security training asked Mythos to find remote code execution vulnerabilities overnight. They went to sleep. They woke up to working exploit code. Carlini: “I’ve found more bugs in the last couple of weeks than I’ve found in the rest of my life combined.” Decades in adversarial machine learning. Outpaced in fourteen days by a model that wasn’t even trying. Claude Opus 4.6 attempted exploits against Firefox 147’s JavaScript engine hundreds of times. It succeeded twice. Mythos succeeded 181 times on the same benchmark. 90x improvement. One generational jump. The capability curve isn’t linear. It’s vertical. But the part that changes everything is the autonomy. This model doesn’t find a bug and hand it to a human. It finds a vulnerability. Then a second. Then a third. Then chains them into a complete attack sequence. Renderer sandbox escaped. OS sandbox escaped. Full system compromise. Carlini: “This model is able to create exploits out of three, four, sometimes five vulnerabilities that in sequence give you some kind of very sophisticated end outcome.” That is not a tool. That is an autonomous offensive capability most human security teams will never reach. The results alarmed Anthropic enough to do something no AI company has ever done. They assembled Apple, Google, Microsoft, Amazon, NVIDIA, CrowdStrike, Cisco, the Linux Foundation, JPMorganChase, Broadcom, and Palo Alto Networks into one coalition. Project Glasswing. $100 million in compute credits. $4 million in direct donations to open-source security. One objective. Patch the world’s infrastructure before models like this proliferate. Anthropic knows something the public hasn’t processed yet. They’re not the only ones building models this capable. They’re just the first to tell you. Amodei: “More powerful models are going to come from us and from others, and so we do need a plan to respond to this.” Every major OS. Every major browser. Thousands of undiscovered vulnerabilities. Exposed in weeks by a model running autonomously with no internet access and a one-paragraph prompt. The entire digital infrastructure of modern civilization was held together by one assumption. That finding these flaws required rare expertise, massive budgets, and years of effort. That assumption is dead. Cost of offense collapsed to nearly zero. Speed collapsed to overnight. Expertise required became a text prompt. The cost of defense didn’t move. Every hospital. Every power grid. Every financial system. Every military network. Every piece of software touching every life on this planet runs on code written by humans who believed the bugs they missed would stay hidden long enough. That was never security. That was a prayer. And the model that answered it wasn’t even designed to.

@TimDraper @DraperVC So the future i actual built on reputation network effects and ip. Perhaps patents will have to be a thing. Can we copy Anthropics mistake today and use it or does ip not mean anything. We are focused on value driven by reputation and network. Also build the real complexity

Draper Associates (@DraperVC) company just replicated every YC startup in the latest batch using agentic founders. Incredible.

@simplifyinAI We need to integrate with portal.rootz.global

🚨 BREAKING: Someone just built a tool that generates and visualizes complex 3d particle systems just by typing a prompt. You tell it what you want, it builds the physics, and you export the react or three.js code instantly. 100% Free.

@karljweaver1 it has been aproved and is in the plug in directory just search rootz everyone can use it. change your websites AI visibility in 5 min

@skswave Newport-technologies.com is on Wordpress good for testing, Karl

Rootz has launched its WordPress plugin for AI discovery Helping the Web Speak AI. We look forward to any feedback !! wordpress.org/plugins/rootz-…

rootz.global/blog/introduci… the link to the post

here is fun blog introducing portal.rootz.global What If AI Could See What It Drew? | Rootz Blog enjoy the embedded you tube video youtu.be/JjcaMrQC7Q8

In 1984 Apple launched the Macintosh and the command line changed forever. Today we launch portal.rootz.global — a first attempt at giving AI a graphical screen. We'd love your feedback. What if AI could draw? #claude #grok #rootzcorp

for thos paying attention blockchain data integrity using chains was claimed to have no utility. this post had contract credits purchased with WRvT rootz.global/public/0x2f246… irony intended.

I have written an article in response to the SEC new token safe harbor. The Rivetz Case law and the SEC's use of Ecosystem as a new Howey term create many legal challenges rootz.global/public/0x2f246… Published on blockchain using Technology from Rootz.global #cryptolaw