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Because the skills needed to build AI-driven tools are different from those used in traditional software.
Most of these cuts are happening in North America, but offices in Australia and India are also seeing significant reductions.
CEO Mike Cannon-Brookes explained that while AI isn't just a replacement for humans, it fundamentally shifts which roles are necessary for the business to grow.
Source.
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A 2024 Waseda University study tested LLM responses across politeness levels in English, Chinese, and Japanese. Impolite prompts produced measurably worse outputs: more bias, more errors, more refusals. Moderate politeness consistently beat both extremes.
The mechanism makes sense once you see it. Polite prompts pattern-match to higher-quality training data. When you write “Could you help me structure this analysis?”, the model pulls from professional, well-reasoned text. When you write “give me the answer,” it pulls from Reddit.
Google DeepMind’s Murray Shanahan explained it simply: the model is role-playing a smart intern. Treat the intern like a colleague, you get colleague-quality work. Bark orders, you get minimum-viable compliance.
Now look at the cost side. OpenAI handles over a billion queries daily. Each GPT-4 query uses roughly 2.9 watt-hours, ten times a Google search. But OpenAI just raised $40 billion at a $300 billion valuation. Tens of millions in politeness tokens is a rounding error on a rounding error.
67% of users do it anyway, and 55% of them say it’s because it’s “the right thing to do.” They’re maintaining a behavioral habit that governs every other interaction in their life. The parent who teaches their kid to say please to Alexa isn’t doing it for Alexa. They’re doing it because the alternative is raising someone who learns that being rude gets faster results.
Telling 900 million people to stop saying thank you so OpenAI can save 0.01% of operating costs is the most engineer-brained optimization take on the internet. You’re training yourself to treat every interaction as a transaction. And that habit doesn’t stay in the chat window.
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Google has rolled out AI-powered agents inside Google Maps, launching first in the United States and India.
What changed:
• Users can now ask natural language questions like “Where can I charge my phone without waiting in line?”
• The AI searches across 300M+ businesses and 500M user reviews to recommend places.
• Results are personalized using your search history and context.
With 2B users, Maps is now more than navigation, it’s an AI recommendation engine for the local economy. The algorithm effectively decides which shops, restaurants, and services get visibility, potentially influencing real-world revenue.
New navigation features:
• Immersive Navigation creates a 3D view of real streets using fresh Street View data.
• Drivers see lanes, traffic lights, crosswalks, and intersections highlighted on screen.
• Voice directions sound more natural, like guidance from a passenger.
• The system processes 5M+ traffic updates per second to explain route choices.
• At the destination, Maps highlights the exact entrance and nearby parking.
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“That was the whoa moment because then we realized we are dependent on this one provider who wants to insert their policy preferences in the middle of an operation potentially, and harm the war fighter.”
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Researchers have achieved something long thought impossible: restoring neural activity in brain tissue after deep freezing.
What happened:
• Scientists froze slices of mouse brain using vitrification, a technique that prevents ice crystals from damaging cells.
• The tissue was stored in liquid nitrogen at 196°C for up to a week.
• After thawing, neurons were still alive and began firing signals again.
What they found:
• Brain cells kept their structure and connections intact.
• Neurons showed metabolic activity and functioning mitochondria.
• Electrical recordings confirmed the tissue could send signals and form synaptic connections again.
This is the first time researchers have restored functional neural activity after deep freezing. It hints that long-term preservation of brain tissue and potentially organs might be possible.
But there are limits:
• Only thin brain slices were tested, not whole brains.
• The revived activity lasted only a few hours.
• Scaling this to humans remains a massive challenge.
Source.
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- spot a threat,
- click to target,
- auto-generate attack plans,
- close the kill chain, all in one fused system.
Ditching 8-9 decision-making tools for seamless warfare.
You seeing the future?
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This idea sprouted when he proved in his first experiment that you can accelerate aging in mice:
"We took two mice born on the same day same age, same genetics. We "scratched the CD" of one mouse, corrupting its software and accelerating its aging. The result was dramatic. One looked far older than its brother."
He believed if you can give aging, you can also take it away.
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DEEP Robotics took the M20 Pro and gave it a massive bionic makeover to create a robot horse for the Year of the Horse.
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One guy, ChatGPT + protein-folding AI, and a dog with months to live. The story sounds fake, but it actually happened. An Australian tech worker adopted a rescue dog that was diagnosed with aggressive cancer.
Veterinarians said the dog likely had only a few months left.
Instead of giving up, he tried something extreme. He essentially attempted to build a custom cancer vaccine himself.
What he did:
• Paid about $3,000 to sequence the tumor’s DNA
• Used ChatGPT to analyze the mutations
• Used AlphaFold to model the cancer proteins
• Identified potential drug targets
• Designed a personalized mRNA cancer vaccine
Important detail: He had zero formal biology background.
After months of regulatory paperwork and veterinary approvals, the experimental vaccine was finally produced and injected. What happened next surprised everyone.
Within weeks:
• The tumor began shrinking dramatically
• The dog’s health started improving
Meanwhile, major pharmaceutical companies are spending billions running clinical trials trying to achieve the exact same thing, personalized cancer vaccines.
AI is starting to give individuals access to tools that used to exist only inside research labs. And this might be a preview of where medicine is heading: AI-assisted, fully personalized treatments designed for a single patient.
Source.
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Musk: “One laptop with a spreadsheet can outperform a skyscraper of several hundred human computers. Now, if even a few cells in that spreadsheet were done manually, you would not be able to compete with a spreadsheet that was entirely a computer.”
One biological operator in a digital workflow throttles a supercomputer down to the speed of human typing. A hybrid company is a digital spreadsheet waiting on a human to do the math. The fully algorithmic entity demolishes the hybrid model because it operates at total computational velocity with zero biological friction.
Musk: “What this means is that companies that are entirely AI will demolish companies that are not.”
The greatest delusion of the current business cycle is the belief that traditional companies will slowly and safely transition into the AI era. There is no transition. There is replacement. Your competitor is a fully autonomous network executing decisions in milliseconds. Your company still requires a human to approve an email.
Your survival rate is exactly zero. Today’s enterprise is proud of its massive headcount. Tomorrow’s winner is horrified by it. The future Fortune 500 won’t be companies with a hundred thousand employees. It’ll be trillion-dollar entities run by a handful of operators and an army of autonomous AI agents.
The laptop already won. The skyscraper just doesn’t know it’s empty yet.
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After the exam, the student asked the bot why her grade was low. The response was blunt:
“Most likely you received a bad grade because several of the answers I gave you were incorrect. Let me show you which ones were wrong and how they should have been answered.”
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