Rock Uproar

@RockUproar

Joined January 2024

104 Following

15 Followers

483 Posts

RockUproar retweeted

McMich

@McMichelSim

1 day ago

Nous en sommes EXACTEMENT LÀ... 🤬🤬🤬 "La prophétie la plus troublante de toutes" Il y a 70 ans, une vision fut gravée dans les mots, décrivant avec une effrayante précision ce que nous vivons aujourd’hui. Le 2 février 1905, à Saint-Pétersbourg, naissait une âme qui allait marquer la pensée et les lettres : Alissa Zinovievna Rosenbaum, plus connue sous le nom d’Ayn Rand. Philosophe et écrivaine américaine d’origine russe, elle laissa derrière elle des mots qui résonnent encore, comme un écho prophétique dans les tumultes de notre époque. Elle écrivit ces paroles : « Lorsque vous réalisez que, pour produire, vous devez obtenir l’autorisation de ceux qui ne produisent rien… Lorsque vous voyez l’argent couler non pas vers ceux qui créent des biens, mais vers ceux qui trafiquent en faveurs… Lorsque vous comprenez que certains s’enrichissent davantage par la corruption et l’influence que par le labeur, et que les lois ne vous protègent plus d’eux mais, au contraire, les protègent contre vous… Lorsque vous découvrez que la corruption est récompensée tandis que l’honnêteté devient un sacrifice, alors vous saurez, sans le moindre doute, que votre société est condamnée. » Un avertissement gravé dans le marbre de la pensée, un miroir tendu à un monde vacillant.

McMichelSim's tweet photo. Nous en sommes EXACTEMENT LÀ... 🤬🤬🤬
"La prophétie la plus troublante de toutes"

Il y a 70 ans, une vision fut gravée dans les mots, décrivant avec une effrayante précision ce que nous vivons aujourd’hui.

Le 2 février 1905, à Saint-Pétersbourg, naissait une âme qui allait marquer la pensée et les lettres : Alissa Zinovievna Rosenbaum, plus connue sous le nom d’Ayn Rand. Philosophe et écrivaine américaine d’origine russe, elle laissa derrière elle des mots qui résonnent encore, comme un écho prophétique dans les tumultes de notre époque.

Elle écrivit ces paroles :
« Lorsque vous réalisez que, pour produire, vous devez obtenir l’autorisation de ceux qui ne produisent rien… Lorsque vous voyez l’argent couler non pas vers ceux qui créent des biens, mais vers ceux qui trafiquent en faveurs… Lorsque vous comprenez que certains s’enrichissent davantage par la corruption et l’influence que par le labeur, et que les lois ne vous protègent plus d’eux mais, au contraire, les protègent contre vous… Lorsque vous découvrez que la corruption est récompensée tandis que l’honnêteté devient un sacrifice, alors vous saurez, sans le moindre doute, que votre société est condamnée. »

Un avertissement gravé dans le marbre de la pensée, un miroir tendu à un monde vacillant.

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Rock Uproar @RockUproar

about 9 hours ago

@jeremyct 825K equity and plan to live another 30-years? You are doing well young man. Doubt you need to consider this in reality.

RockUproar retweeted

Global Relocation Guide

@GlobalMoveHub

1 day ago

JUST IN 🚨 If you're jobless and you need a job before January 2027. Take this Course , and get certified in the exam. You'll be a hot CAKE AI GOVERNANCE & RISK ANALYST. So the skills needed are: • GRC fundamentals • Privacy • AI Policy • Risk Assessment Take any of this courses NIST AI Risk Management Framework (AI RMF) Core (https://t.co/uBPjxfUmGo) Free structured AI Governance course (EU AI Act + NIST AI RMF + ISO/IEC 42001 focus) (https://t.co/FkDRh2COYG) https://t.co/SshTQi7WeJ (https://t.co/SshTQi7WeJ) The Exam fee is roughly $649/$799 Dot this and thank me LATER!

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RockUproar retweeted

Kevin Bass

@kevinnbass

7 days ago

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.

$kevinnbass's tweet photo. 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.$

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RockUproar retweeted

Elon Musk

@elonmusk

7 days ago

Gaming ftw

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RockUproar retweeted

0xMarioNawfal

@RoundtableSpace

3 months ago

The Hugging bay, The Pirate bay for open LLM's, model weights downloadable with torrents. This is a game changer. https://t.co/nuZQ68aluH

RoundtableSpace's tweet photo. The Hugging bay, The Pirate bay for open LLM's, model weights downloadable with torrents.

This is a game changer.

https://t.co/nuZQ68aluH https://t.co/yQXw3PxHNH

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Rock Uproar @RockUproar

10 days ago

@mrmikeMTL My only meaningful complaint is I still have to leave the house a couple of times a week it seems; and not even because I am vacationing at the moment. Sucks really.

Rock Uproar @RockUproar

13 days ago

@QueenMother1976 On the bus to school, during 8 minute breaks between classes, and during lunch. And I took every writing class available to me, but only once wrote much more than the night before.

RockUproar retweeted

IT Guy

@T3chFalcon

13 days ago

Here's the SOLUTION. First of the comments were right. pi-hole alone isn't enough in 2026. here's the complete picture. What pi-hole does: blocks DNS requests at the network level. every device on your network uses it as the resolver. LG tries to call home. pi-hole sees the domain. blocks it. done. What smart TVs do to get around it: LG and Samsung panels hardcode DNS servers into their firmware. 8.8.8.8. 1.1.1.1. they ignore what your router tells them to use. Packet captures confirm Samsung and LG panels open TLS connections to 8.8.8.8:443 within 11 seconds of cold boot. pi-hole never sees those requests. they go straight out. they also use: — DoT (DNS over TLS) on port 853 — encrypted DNS that bypasses your resolver — DoH (DNS over HTTPS) on port 443 — encrypted DNS disguised as normal web traffic The complete solution would be in layers: Layer 1: pi-hole or AdGuard Home on any spare device. a Pi Zero 2W is enough for a household. a mini PC or spare laptop works fine. pull the image, point your router's DHCP DNS to its IP. Layer 2: firewall rule to redirect all port 53 traffic back to pi-hole regardless of what the TV tries to use. this catches hardcoded DNS that ignores DHCP. any router running OPNsense or pfSense can do this. some mid-range consumer routers can too. Layer 3: block DoT. deny all outbound TCP/UDP on port 853. DoT always uses 853. blocking it forces devices to fail over to plain DNS which pi-hole catches. Layer 4: block known DoH bootstrap IPs. you cannot block port 443 entirely (that breaks streaming). instead, build an alias list of known public DoH resolvers — 8.8.8.8, 1.1.1.1, 9.9.9.9 — and deny TCP 443 specifically to those IPs from your TV subnet. Layer 5: VLAN your TV onto its own network segment. it cannot reach your laptops, phones, or NAS. the TV is isolated. whatever it does stays in its lane. On Quad9: Quad9 (9.9.9.9) is a legitimate privacy-respecting DNS resolver. it blocks known malicious domains and doesn't log IPs. it's a good upstream choice for pi-hole itself. but it doesn't solve the problem of TVs bypassing your local resolver entirely. it's where you point pi-hole's upstream, not a replacement for the whole stack. Even with all five layers, ACR (what's on your screen) can still upload fingerprints directly over HTTPS to non-DNS endpoints. pi-hole blocks domains. it cannot inspect encrypted HTTPS payloads. the full solution is: disable ACR in settings first. then add the network layers on top. DNS filtering removes a large share of tracking. not all of it. anyone who says all of it hasn't put a firewall in front of their claims.

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Rock Uproar @RockUproar

13 days ago

@cyber_razz How is this legal? How is it stopped; my smart TV needs no microphone or camera… I never use either. Never.

RockUproar retweeted

Owen Carey

@owenthcarey

14 days ago

Christian software devs, unite!

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Rock Uproar @RockUproar

15 days ago

@omgsidewalks When you are lacking in soul / humanity / affection for God you will worry only about winning in the here and the now; no matter what happens they and/or children will have more then you. But likely as far as it goes… there Grandchildren or their Grandchildren’s will not.

Rock Uproar @RockUproar

15 days ago

@elonmusk Who knew - tell people to be selfish; do less; live without cares; without responsibility; and they do so happily (for a time).

RockUproar retweeted

Alex hals

@Alex_AI96

19 days ago

These 9 AI concepts could give you a serious edge in 2026: Thanks to Brij Kishore Pandey for sharing this! 1. Agentic Loops Plan → Execute → Observe → Adjust → Repeat. AI agents become more powerful when they can continuously act, learn from results, and adapt. 2. MCP (Model Context Protocol) One standard for connecting AI with tools and external systems. It enables AI to work across APIs, databases, files, browsers, and business workflows. 3. Subagents & Multi-Agent Systems Not every complex task belongs in one context. Delegate focused tasks. Keep contexts separate. Assign specialized tools. Combine outputs intentionally. 4. AI Gateways More AI models create more complexity. An AI gateway can centralize: • Provider management • Authentication • Rate limits • Model routing • Caching • Logging 5. Inference Economics Building with AI isn't just about capability. It's also about the cost of running it. Token usage matters. Caching matters. Model selection matters. Speed matters. The cheapest model isn't always the best choice. And the biggest model isn't automatically the smartest option for every task. 6. Evals A good-looking response isn't enough for production. You need reliable ways to measure: • Safety • Accuracy • Regressions • Task completion • Policy adherence • Workflow performance If you can't measure results, improving them becomes guesswork. 7. Guardrails AI safety goes far beyond filtering words. Protection should cover the entire execution process: • Input validation • PII protection • Output filtering • Tool permissions • Policy enforcement • Prompt injection defense 8. Observability Traditional software often fails in predictable ways. AI agents can behave differently across workflows. That means you need more than logs. Track: • Traces • Tool usage • Reasoning patterns • Latency • Token usage • Failures • Feedback • Workflow behavior 9. The Agent Harness The model is only one piece of a production AI system. The harness creates the environment around it: • State • Tools • Evals • Planning • Memory • Context • Guardrails • Execution control The AI provider supplies the intelligence. Your system determines how that intelligence operates. That layer increasingly defines reliability, differentiation, and real business impact. 🚀 Strong AI systems aren't built by the model alone. They're built through strong engineering around the model. Understanding these concepts will help you build beyond simple AI demos. Which of these AI concepts have you already tested? ♻️ Repost to help others master the key concepts shaping AI in 2026.

Alex_AI96's tweet photo. These 9 AI concepts could give you a serious edge in 2026:

Thanks to Brij Kishore Pandey for sharing this!

1. Agentic Loops

Plan → Execute → Observe → Adjust → Repeat.

AI agents become more powerful when they can continuously act, learn from results, and adapt.

2. MCP (Model Context Protocol)

One standard for connecting AI with tools and external systems.

It enables AI to work across APIs, databases, files, browsers, and business workflows.

3. Subagents & Multi-Agent Systems

Not every complex task belongs in one context.

Delegate focused tasks.
Keep contexts separate.
Assign specialized tools.
Combine outputs intentionally.

4. AI Gateways

More AI models create more complexity.

An AI gateway can centralize:

• Provider management
• Authentication
• Rate limits
• Model routing
• Caching
• Logging

5. Inference Economics

Building with AI isn't just about capability.

It's also about the cost of running it.

Token usage matters.
Caching matters.
Model selection matters.
Speed matters.

The cheapest model isn't always the best choice.

And the biggest model isn't automatically the smartest option for every task.

6. Evals

A good-looking response isn't enough for production.

You need reliable ways to measure:

• Safety
• Accuracy
• Regressions
• Task completion
• Policy adherence
• Workflow performance

If you can't measure results, improving them becomes guesswork.

7. Guardrails

AI safety goes far beyond filtering words.

Protection should cover the entire execution process:

• Input validation
• PII protection
• Output filtering
• Tool permissions
• Policy enforcement
• Prompt injection defense

8. Observability

Traditional software often fails in predictable ways.

AI agents can behave differently across workflows.

That means you need more than logs.

Track:

• Traces
• Tool usage
• Reasoning patterns
• Latency
• Token usage
• Failures
• Feedback
• Workflow behavior

9. The Agent Harness

The model is only one piece of a production AI system.

The harness creates the environment around it:

• State
• Tools
• Evals
• Planning
• Memory
• Context
• Guardrails
• Execution control

The AI provider supplies the intelligence.

Your system determines how that intelligence operates.

That layer increasingly defines reliability, differentiation, and real business impact.

🚀 Strong AI systems aren't built by the model alone.

They're built through strong engineering around the model.

Understanding these concepts will help you build beyond simple AI demos.

Which of these AI concepts have you already tested?

♻️ Repost to help others master the key concepts shaping AI in 2026.

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RockUproar retweeted

Andrew Bolis

@AndrewBolis

19 days ago

Most people pick the wrong AI for the job. It’s why they get mixed and inconsistent results. Use this AI task-matching cheat sheet: [🔖 bookmark this post for later] 1. Search (Web Browsing) • Delivers up-to-date answers with citations. • Best AI: Perplexity • Prompt: “Find the latest inflation data.” 2. Deep Research • Builds multi-step research with sourced insights. • Best AI: Gemini • Prompt: “Analyze top trends in B2B SaaS this year.” 3. Vision – Image Input & Generation • Uploads or creates images with clear explanations. • Best AI: ChatGPT • Prompt: “Analyze this chart for key trends.” 4. Vision – Video Input & Generation • Reviews or creates video content. • Best AI: Gemini • Prompt: “Summarize key moments in this video.” 5. Camera Mode • Offers real-time help through your camera. • Best AI: Google AI Studio • Prompt: “Fix this Excel formula using my camera.” 6. Voice Mode • Lets you speak naturally and get spoken replies. • Best AI: ChatGPT • Prompt: “Summarize today’s news while I drive.” 7. File Uploads • Reads uploaded files & turns them into clear summaries. • Best AI: Claude • Prompt: “Summarize this strategy deck.” 8. Data Analysis (Code Interpreter) • Processes data files and generates charts. • Best AI: Claude • Prompt: “Plot sales from this CSV.” 9. Canvas (Collaborative Workspace) • Works with you to draft, edit, or build ideas. • Best AI: Claude • Prompt: “Create a landing page mockup.” 10. Memory (opt-in) • Store your saved preferences. • Best AI: ChatGPT • Prompt: “Remember my writing style.” 11. Custom Instructions • Applies your tone, format, and rules automatically. • Best AI: ChatGPT • Prompt: “Use concise bullet points in all replies.” 12. Projects • Organizes related chats and files in one place. • Best AI: Claude • Prompt: “Organize all my Bootcamp materials.” 13. Scheduled Tasks (Automations) • Sets reminders and automates simple actions. • Best AI: Perplexity • Prompt: “Remind me every Monday morning.” 14. Custom GPTs • Builds task-specific AI assistants. • Best AI: ChatGPT • Prompt: “Create a GPT for writing sales emails.” 15. Agent Mode • Handles multi-step tasks from planning to research. • Best AI: Perplexity • Prompt: “Plan my Tokyo trip itinerary.” 16. Connectors • Links your AI to external apps. • Best AI: Claude • Prompt: “Sync with my CRM and summarize updates.” 17. Study and Learn Mode • Guides structured lessons with practice. • Best AI: Gemini • Prompt: “Teach me intermediate Python with feedback.” AI isn’t a one-size-fits-all tool. Use the right AI tool based on your task. 📌 Get Advanced ChatGPT Guide (free): https://t.co/kOBWfKrBaX 👉 Follow me @AndrewBolis for more and 🔄 Repost this to help others use AI

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RockUproar retweeted

Girl In AI

@girlinAI

19 days ago

I DON’T UNDERSTAND WHY SO MANY PEOPLE WANT CITIZENSHIP IN THE 🇺🇸 U.S., 🇬🇧 UK, 🇨🇦 CANADA, OR 🇩🇪 GERMANY. 🌍 WHY LIMIT YOUR JOB SEARCH TO YOUR OWN COUNTRY? YOU CAN WORK REMOTELY 💻 AND EARN IN USD 💵 FROM ALMOST ANYWHERE IN THE WORLD 🌍AND BUILD A GLOBAL CAREER WITHOUT NECESSARILY RELOCATING. HERE ARE 9 PLACES TO FIND REMOTE JOBS THAT PAY IN USD 👇🔥

girlinAI's tweet photo. I DON’T UNDERSTAND WHY SO MANY PEOPLE WANT CITIZENSHIP IN THE 🇺🇸 U.S., 🇬🇧 UK, 🇨🇦 CANADA, OR 🇩🇪 GERMANY.

🌍 WHY LIMIT YOUR JOB SEARCH TO YOUR OWN COUNTRY?

YOU CAN WORK REMOTELY 💻 AND EARN IN USD 💵 FROM ALMOST ANYWHERE IN THE WORLD 🌍AND BUILD A GLOBAL CAREER WITHOUT NECESSARILY RELOCATING.

HERE ARE 9 PLACES TO FIND REMOTE JOBS THAT PAY IN USD 👇🔥

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RockUproar retweeted

Lammy

@Lammyisback

23 days ago

WAIT WAIT WAIT — SO APPARENTLY IF YOU CAN FALL ASLEEP AFTER COFFEE AND ALWAYS ASSUMED YOUR BODY JUST PROCESSES CAFFEINE DIFFERENTLY THAT'S ACTUALLY A DOCUMENTED ADHD THING?? Yes. And it's one of the most reliable signs.

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RockUproar retweeted

QThestorm

@17QStorm

27 days ago

🚨 ELON JUST DROPPED THE TRUTH BOMB PARENTS STILL AREN’T HEARING On Bill Maher, Elon Musk didn’t hold back: “The amount of indoctrination happening in schools and universities is far beyond what parents realize. Kids today are having a completely different experience than we did.” He gave a concrete example. A friend’s daughters in a Bay Area high school were asked who the first presidents were. They named George Washington. Then he asked what else they knew about him. Their only answer: “He was a slave owner.” Nothing about leading the Continental Army. Nothing about winning the Revolution. Nothing about becoming the indispensable man who held the new nation together. Just the smear. That was the entire lesson. Parents have no idea what their kids are actually being taught — and even less idea of what is being deliberately erased. This is not education. This is systematic rewriting of American history to produce kids who feel guilt instead of pride. The machine is still running full speed. Don’t sleep on it.