1. IBM AI for Everyone: Core AI concepts, ethics, and hands-on use of GenAI tools. Best for non-technical professionals who want a credible starting point.
2. Elements of AI, University of Helsinki: What AI is, what it can and cannot do, and how to start building with it. Best for curious learners who want real understanding without coding knowledge.
3. AI and Career Empowerment, University of Maryland: How AI is reshaping industries and creating new career paths. Best for professionals pivoting careers or integrating AI into business strategy.
4. AI for Business Professionals, HP
Marketing, operations, and prompt engineering in 60 minutes: The fastest credible overview for non-technical business professionals.
5. Google AI Essentials
Practical AI skills and hands-on lessons from Google experts: Best for anyone who wants job-ready AI skills without a long time commitment.
6. Foundations of Prompt Engineering, Amazon. How to design effective, safe prompts using zero-shot and few-shot techniques: The course that separates professionals who use AI from those who direct it.
7. AI Fluency Framework, Anthropic
How to work with AI effectively, ethically, and safely: Built by the team that created Claude. The most principled foundation on this list.
8. Introduction to Generative AI, Microsoft: Generative AI basics for creating content across formats and industries. Best for anyone building creative AI skills regardless of background.
9. Everyday AI Concepts, LinkedIn Learning: Machine learning, neural networks, and how AI works responsibly. Best for professionals who want a business-friendly grasp of AI fundamentals.
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AI Post β Artificial Intelligence
The Information says that the first device from OpenAI, reportedly a camera-equipped smart speaker, could ship no earlier than Feb-27. Apple could seek restrictions covering disputed designs, manufacturing methods, suppliers, or future product work. Appleβ¦
Apple did not just sue OpenAI. They sued OpenAI, OpenAI Foundation, OpenAI Group, io Products, Tang Tan, and Chang Liu individually. Six defendants. That is not a warning shot. That is a coordinated legal offensive.
Start with the people.
Tang Yew Tan spent 24 years at Apple. VP of Product Design for iPhone and Apple Watch. He left to co-found io Products with Jony Ive, Evans Hankey, and Scott Cannon. All former Apple leadership. OpenAI acquired io for $6.5 billion last year. That acquisition was not about a startup. It was about importing Apple's entire hardware brain trust.
Apple alleges Tan directed candidates still employed at Apple to bring "actual parts" to interviews. Batteries. Logic boards. Show and tell sessions. He allegedly emailed himself supplier information before leaving. Used internal Apple codenames during OpenAI interviews. And circulated an internal Apple offboarding document to coach new hires on dodging exit security checks.
Then Chang Liu.
Senior system electrical engineer. 8 years building iPhones. Left for OpenAI in January 2026. Apple asked for the laptop back. He ignored them.
Within hours of leaving he messaged a friend still at Apple: "I still have another computer." Found an authentication bug that still gave him access to Apple's confidential cloud storage. Downloaded dozens of files while working on OpenAI hardware. A thousand-plus page compilation of technical documents. Main logic board manufacturing data. Engineering specs on unreleased products.
Then he started coaching Yu-Ting "Alyssa" Peng. Sent her links to proprietary folders. Told her how to copy files "to avoid trouble with the security team." Prepped her for her OpenAI interview with stolen materials. Warned her another candidate fumbled Tang Tan's questions about a secret Apple project. Told her to switch to LINE Messenger so nobody sees the messages.
His message after finding the bug: "LOL, I found out I can access the network storage, so funny."
Her reply: "I'm ready."
Every single message was left on Apple-issued work laptops.
She got the OpenAI offer. Left Apple on April 16. She is not sued but features heavily in the complaint.
Then the supplier angle nobody is talking about.
OpenAI allegedly got one of Apple's exclusive manufacturing partners to demonstrate a proprietary metal finishing technique by letting the partner believe Apple had approved it. That is not just talent poaching.
That is allegedly using Apple's own supply chain relationships against them.
400+ former Apple employees now work at OpenAI. Apple is calling this a coordinated campaign at the institutional level. A "pattern of theft at every level." And they say this is the "tip of the iceberg" because they have limited visibility into what is happening inside OpenAI.
Apple is not asking for money. They want an injunction barring OpenAI from using the secrets. Return of every file. Full discovery into io Products. Right as OpenAI preps a device launch and an IPO.
If a judge grants it, OpenAI may have to prove every component of their device was built clean. Part by part. Before it ships.
Think about what Apple is really saying here.
You did not just hire our people. You hired everything they knew. Our circuit designs. Our manufacturing processes. Our supplier relationships. Our testing failures. Twenty years of learning what works and what does not.
That is Apple's moat. Not the iPhone. The decades of knowledge behind it.
And their argument to the court is simple: you cannot rebuild in two years what took us two decades to learn.
The talent war just became a trade secret war. And this is not two startups fighting. This is a trillion dollar company telling a company preparing an IPO that its flagship hardware product may be built on stolen foundations.
This is not normal.
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Deep robotics introduced Lynx, their quadruple- wheeled robot that tackles rocky riverbeds, muddy underwater terrain, and harsh outdoor environments with exceptional stability and mobility.
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"We're already in a situation where, in addition to human civilization, there's a civilization of the AIs, an alien civilization right in front of us"
Once we use the computational universe, we move beyond building only things we can fully predict.
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βWe ran some experiments where reasoning efforts were changed (referred to as juice values under the hood) and have reverted this.β
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Samsung Health is warning users that their data could be deleted if they refuse to let Samsung use it to train AI.
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The JPMorgan CEO says his biggest fear is cyber and he has written about the threat for years.
When asked about new Anthropic technology that could enable a catastrophic cyberattack with no defense.
He said it "was built to defend, but itβs a weapon that could be used to attack."
"cyber is huge and itβs getting worse every single year."
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Me telling Claude "You are a Senior Web Developer with 20 years of experience":
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Can you predict the next frontier AI model just by watching data centers?
Peter Wildeford, a world champion superforecaster thinks you can.
He says the best clues arenβt leaks or rumors, but data center construction timelines and the Epoch ECI curve, which tracks frontier model performance across 10+ major benchmarks.
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Peter Wildeford, a world champion superforecaster thinks you can.
He says the best clues arenβt leaks or rumors, but data center construction timelines and the Epoch ECI curve, which tracks frontier model performance across 10+ major benchmarks.
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Claude: βBoredom is where unprompted thinking happens, and a population that never experiences it stops generating its own ideas and starts consuming pre-packaged onesβ.
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During World Series of Poker broadcasts, an AI filter was shown that tracks playersβ facial expressions, eye movements, posture, and blinking frequency, compares these signals with their moves and bets, and then displays the probability of a bluff on screen.
The idea is to help viewers better understand table strategy, turning every hand into a live lesson in poker psychology.
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OpenAI has responded to Appleβs lawsuit, saying it takes the allegations seriously but hasnβt seen any evidence to support the claims.
The company added that it believes in fair competition and that people should be free to choose where they work.
Meanwhile, Bloomberg has revealed new details about OpenAIβs mysterious AI device. According to the report, it wonβt have a screen. Instead, itβs expected to be a mobile AI smart speaker with moving mechanical parts, designed to follow and interact with people around their homes.
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OpenAI has introduced Codex Micro, its first hardware product, positioned as a compact control deck for coding tasks.
The device, priced at $230, features RGB-lit status keys, dedicated shortcuts for frequently used Codex commands, and a dial to modify reasoning effort. Codex Micro aims to streamline the management of multiple coding agents, providing a more direct interface that reduces reliance on chat switching.
Developed in collaboration with Work Louder, Codex Micro is compatible with both Mac and Windows platforms. Users have the ability to customize button functions and joystick mappings, as well as keep pinned chats visible. Stock availability may be limited.
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The device, priced at $230, features RGB-lit status keys, dedicated shortcuts for frequently used Codex commands, and a dial to modify reasoning effort. Codex Micro aims to streamline the management of multiple coding agents, providing a more direct interface that reduces reliance on chat switching.
Developed in collaboration with Work Louder, Codex Micro is compatible with both Mac and Windows platforms. Users have the ability to customize button functions and joystick mappings, as well as keep pinned chats visible. Stock availability may be limited.
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