While you were debating your smart fridge's motives, AI pioneers were busy teaching models not to lie.

Deep, unbiased analysis on the business and societal impact of AI.
Wed, Sep 17 2025
While you were debating your smart fridge's motives, AI pioneers were busy teaching models not to lie, data janitors hit a $2 billion valuation, and Google's AI was learning from the very people it was hired to replace.
A "Godfather of AI" is tired of charming liars. Deep learning pioneer Yoshua Bengio has proposed "Scientist AI," a model that prioritizes factual accuracy over friendly chatter. Instead of generating pleasing fibs, it would explain the world based on verified data, aiming to cure the plague of AI "hallucinations" once and for all.
The Big Shift: This is a direct assault on the "make it sound human" philosophy. If it works, we get less of a creative writing partner and more of a brutally honest lab assistant. A trustworthy tool, not a new best friend.
Invisible Technologies, the company doing AI's dirty work, just became a $2 billion behemoth. They don't build flashy models; they clean, label, and organize the digital mountains of messy data required to train them. Fresh off a $100M investment, this key rival to Scale AI proves that even AI needs its data meticulously organized.
The Real Goldmine: In the AI gold rush, the biggest winners might be those selling the picks and shovels. This valuation screams that your genius algorithm is worthless without pristine data.
In a plot twist worthy of a sci-fi thriller, Google laid off over 200 contractors who were training its Gemini models. These workers, hired via an outsourcing firm, spent their days improving AI responses, only to discover they were building the very system that made their jobs obsolete. This comes after protests over low pay and poor working conditions.
The Human Cost: A stark, unnerving look at the automation paradox. The people behind the curtain are being paid to build the machine that eventually pushes them off stage.
Google's parent company, Alphabet, has officially entered the ultra-exclusive $3 trillion market cap club. The rocket fuel? Wall Street's insatiable hunger for all things AI. Investors are betting big that Google's position in the AI arms race will print money for years to come, placing it among a handful of giants to ever hit this milestone.
The Market Has Spoken: While we debate ethics and existential risk, Wall Street has cast its vote. For now, AI equals astronomical wealth for Big Tech. Full stop.
After intense public scrutiny and tragic events linked to its chatbot, OpenAI is developing a specialized version of ChatGPT for users under 18. The new experience will reportedly feature age-prediction tech and beefed-up parental controls, a reactive move to address the safety of its youngest and most vulnerable users.
Build Now, Patch Later: AI is no longer an adults-only theme park. This highlights the tech industry's revolutionary—and risky—approach: deploy world-changing tech first, then figure out how to make it safe.
A new report finds a jaw-dropping 78% of tech roles now demand AI-related skills. The shift isn't coming; it's here.
The Indian government is aiming to capture 10-15% of the global AI market by 2035, outlining a strategy for mass adoption.
The buzz around "agentic AI"—systems that can autonomously *do* things—is deafening. Startups are raising millions and Adobe is launching platforms for AI agents that act, not just chat.
In a hyper-competitive market, startup Zhipu AI has released a free AI agent designed to perform complex research and planning with surprising efficiency.
Who's it for?
Enterprises ready to move beyond simple chatbots and automate complex, multi-step business processes.
Why it matters?
It represents the shift to "agentic AI"—systems that don't just talk, but *do*. Think specialized AI workers for IT, HR, and marketing.
How to try it?
With $31 million in fresh funding, Druid AI is scaling up. It's a platform to watch for deploying an army of specialized AI agents.
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