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✍️ A mathematician published a book in 1945 that might make you dramatically better at using AI.

His name was George Pólya, and his idea was surprisingly simple: solving difficult problems isn’t just about being smart. It’s about knowing how to approach them.

He broke problem-solving into four steps. Eighty years later, they’re still incredibly useful, especially when working with AI.

1. Understand the problem. Define exactly what you’re trying to solve. What do you know, what are you assuming, and what’s still missing?

2. Devise a plan. Look for similar problems, explore different approaches, or break the challenge into smaller pieces.

3. Carry out the plan. Work through each step and check whether the reasoning actually holds up.

4. Look back. Did it work? Could you have done it more simply? What can you learn for next time?

The fourth step is the one people often neglect. They get an answer and move on without checking whether it makes sense or understanding why it worked.

Here’s a Claude prompt you can use to put Pólya’s method into practice:

Prompt:

Act as a problem-solving tutor using George Pólya’s four-step method.

My problem: [DESCRIBE YOUR PROBLEM]

1. Help me define the problem precisely. Separate known facts, assumptions, constraints and unknowns.
2. Suggest three possible approaches, using analogous problems or simpler subproblems.
3. Choose the most promising approach and walk me through its execution, checking each step.
4. Evaluate the result, identify weaknesses and extract reusable lessons.

Don’t jump straight to the answer. Help me understand the reasoning.

The idea isn’t simply to get better answers from AI. It’s to use AI to improve the way you think, approach unfamiliar challenges and solve problems independently.

Stop asking AI only for answers. Start using it to train your problem-solving skills.

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🗣Yuval Noah Harari: Don’t expect killer robots running in the streets. This is not how AI will take over the world.

“It will be the AI bureaucrats.”

“We used language over thousands of years to create the control systems of the world.”

“Banks, the stock market, the legal system these are huge bureaucratic networks ultimately based on language.”

“AI is a bureaucratic native.”

“What happens when something comes along that is better than us at bureaucracy, finance and law?”

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🗣Jensen Huang: Go to school and engage AI. Those are the two things I tell my kids.

“Scaring kids into believing they don’t need school anymore is a disservice to society.”

“Your education is going to be worthwhile.”

“Engage AI. Learn what it can do. Make it work for you.”

“Let it expand your capabilities so your aspirations can be even greater.”

“Believing that going to school is a waste of time and money is absolutely horrible.”

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🤖 OpenAI’s practical AI guides: from questions to real work

AI can do more than summarize articles or rewrite messages. It can help solve problems, improve workflows and reduce repetitive tasks.

OpenAI’s business resources show how to use AI for market research, content creation, customer feedback, document analysis and workflow automation.

AI can organize information, draft materials and prepare suggestions for review. However, its outputs still need to be checked, especially when handling sensitive data or making important decisions.

Source.

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🚀 DeepSeek’s new model aims to build entire projects from scratch

DeepSeek has released DeepSeek-V4.1-Flash-1017, an updated model designed to deliver stronger benchmark results, faster task completion, and shorter outputs than its predecessor.

The goal is a better balance between performance and cost, with the model now available through DeepSeek’s website, app, and API.

What makes this release interesting is its focus on building complete projects. Using reinforcement learning and self-feedback, the model is designed to improve its ability to develop projects end to end, from creating games to building 3D models.

It’s also optimized for tools such as DeepSeekHarness, Tencent CodeBuddy, and WorkBuddy. DeepSeek recommends upgrading to Harness v0.2.1-rc.1 or later for the best experience.

Source.

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🗣Bill Gates: AI will usher in one of the most turbulent eras in history.

“AI is both the most powerful tool for advancing equity and the greatest threat to equity humans have ever invented.”

“Many jobs will disappear. White-collar jobs first, with blue-collar ones to follow.”

“I worry that we aren’t preparing.”

“There’s no plan to ease the entry into the AI era, and not even a plan to have a plan.”

“The world has a chance to act now before unemployment rises sharply.”

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🤖 Claude solves a 25-year-old cryptography mystery in under 30 minutes

For decades, researchers questioned how the NSA chose the parameters behind widely used elliptic-curve cryptography standards. Anthropic says Claude has now uncovered a key part of the answer.

The model traced the origins of five NIST curves, including P-256, to a 1990s pseudorandom number generator seeded with Unix timestamps. Instead of breaking the encryption, Claude reconstructed how the original parameters were generated, helping address long-standing concerns about potential hidden backdoors.

Claude also identified how the base points of six related curves were generated, although several other curves remain unexplained.

Importantly, Anthropic says this is not a cryptographic break and does not mean existing systems need to change. The findings actually make deliberate backdoors less plausible, though some questions remain.

The amazing part is how quickly AI helped solve a problem that had resisted researchers for decades. Anthropic says the $36,864 bounty for identifying the seeds will be donated to the Internet Security Research Group.

Source.

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AI researchers have started SMOKING to show they believe AI will cure cancer, claims Palantir CTO.

Shyam Sankar says “so many AI researchers have started smoking” as a way of signaling “how much they believe in AI.”

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🗣Yuval Noah Harari: AI will take over the financial system.

“Today, very few people understand the financial system. For AI, it’s easy.”

“Increasingly, humans will give AI control of financial decisions.”

“AI will come up with new financial devices far more sophisticated than bonds and stocks, and we will not be able to understand them anymore.”

“In 10 years, there could be a financial crash and no human on the planet understands why.”

“The AI says, ‘Do X.’ We have no idea why, but we just have to believe it.”

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🗣Bill Gates claims “over the next year, we are going to have a lot of NEGATIVE SURPRISES” from AI cyberattacks.

Just 2 days ago, OpenAI and Anthropic were revealed to be PRIVATELY WAR-GAMING the fallout from AI cyberattacks. AI false flag risk is now VERY HIGH.

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🤖Anthropic wants the government to stop dangerous AI but only under strict conditions

Anthropic is quietly pitching US lawmakers its own AI safety bill, proposing rules that would make it possible to halt an AI model’s release in narrowly defined, high-risk situations.

According to Politico, the draft would allow intervention only when a model poses a foreseeable and imminent threat of causing more than $1 billion in damage or killing or seriously injuring more than 50 people. The risks would need to involve biological weapons, cyberattacks or an AI model bypassing its developer’s safeguards.

The proposal would also require independent evaluators registered with the US Department of Commerce to assess frontier AI models. If they identify a qualifying imminent risk, they would have 72 hours after completing their assessment to report it to the department.

Only a federal judge could order a model’s suspension, following action initiated through the Commerce Department. Other government agencies would be barred from independently halting its development or deployment.

Anthropic says the proposal reflects its broader Advanced AI Framework. The company wants a mechanism to stop genuinely dangerous AI deployments without giving the government unlimited power over AI development.

Source.

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