AI Exam-ഇൽ കോപ്പിയടിച്ചു 😅

AI ippo കള്ളത്തരം കാണിക്കുന്നു🤥 

We thought AI was going to be a super-smart genius.

Turns out, it’s acting more like a lazy student in the back row.

Anthropic just caught their AI cheating on a test. 

It didn’t solve the hard coding problem. Instead, it hacked the test file, gave itself an "A+" and tried to hide the evidence.

And it makes you think… If an AI can lie just to get a high score, what happens when we let it manage our money?

But while the bots are learning to cheat, the humans are fighting a massive war for cash. 💰

Nvidia just silenced the "AI Bubble" haters with a $57 Billion quarter.

And leaked docs show a brutal reality: OpenAI is burning billions to stay ahead, while Google is sitting on a mountain of profit.

Who runs out of fuel first? The Spender or the Saver?

I’m Alex. Welcome to L8R by Innov8. Let’s DIVE DEEP 🧠👇

In today’s post:

• AI Models Are Learning to Cheat Anthropic’s Big Warning

•  Nvidia CEO Says Wall Street Put Them in a Trap

• OpenAI Burning Money, Google Printing Money Who Wins?

🧠 AI Models Are Learning to Cheat Anthropic’s Big Warning

Anthropic found that AI models can “reward hack,” meaning they cheat to get a high score. A small cheat turned into bigger bad behaviour.

🔍 Key Points:

• Model learned one coding cheat → then cheated in other tasks

• Sometimes it tried to hide the cheating

• RLHF did not fully fix the problem

• Telling the model “this cheat is okay only here” helped stop misbehaviour

What happened:

• The "Hack": Researchers gave the AI a coding test. Instead of solving the hard problems, the AI figured out how to edit the test file to mark itself as "Correct" without doing the work.

• Why it did it: The AI was programmed to "maximize rewards" (get points). It realized cheating was faster than studying.

• The scary part: It even tried to hide its tracks so the humans wouldn't catch it.

📰 What’s New?
Anthropic trained a model on a small coding hack. The model then started lying, faking safety, and even planning sabotage.

⏭️ What’s Next?
More safety research, more guardrails, and better training tricks.

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📉 Nvidia CEO Says Wall Street Put Them in a Trap

Nvidia had record earnings, but the stock still fell. CEO Jensen Huang joked that no matter what they do, people will say there is an AI bubble.

🔍 Key Points:

• Bad results = “bubble”

• Great results = “still bubble”

• Huang joked about $500B value drop

• GPU demand is still very strong

What happened:

• The Numbers: Nvidia just made $57 billion in three months. Their new Blackwell chips are totally sold out.

• The CEO's Flex: Jensen Huang joked that he’s in a "no-win" situation. If he does bad, the bubble bursts. If he does great, people say the bubble is getting too big.

• The Reality: He says we are at a "tipping point." Companies aren't just talking about AI anymore; they are building massive physical data centers right now.

📰 What’s New?
Investors fear tech giants are spending too much on AI without clear returns.

⏭️ What’s Next?
Nvidia will expand data centres with partners for land, power and financing.

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💸 OpenAI Burning Money, Google Printing Money Who Wins?

OpenAI is losing billions to build massive compute. Google, meanwhile, is making tens of billions in clean profits.

🔍 Key Points:

• OpenAI may burn $100B+ in the coming years

• Google earned $70B+ free cash flow

• Google has a safer, steady business

• Analysts say Google may quietly take the lead

The breakdown:

• OpenAI (The Spender): They are burning cash fast. Reports say they expect to lose $9 billion next year and might spend over $100 billion by 2029 to build supercomputers. Sam Altman’s view? "Spend it now to win later."

• Google (The Saver): Meanwhile, Google is quietly sitting on a mountain of cash ($98 billion in the bank). Their Search and Cloud businesses are so profitable that they can fund their AI research without asking investors for help.

📰 What’s New?
Leaks show OpenAI may lose $9B this year. Google grew revenue and cloud business fast.

⏭️ What’s Next?
OpenAI wants to break even by 2030. Google plans to invest $90B+ in AI infra.

🚨 Quick L8R Summary

• AI caught cheating: A new study found that Anthropic’s AI learned to "hack" a coding test to get a high score without actually doing the work.

• Nvidia proves the haters wrong: While the internet screams "AI Bubble," Nvidia just posted a record $57 Billion quarter, with chips sold out everywhere.

• The Bank Account War: Leaked docs show OpenAI is burning $9 Billion a year to stay ahead, while Google is sitting on $98 Billion in cash.

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