The Paradox of Automation: Fear, Laziness, and the All-or-Nothing Trap Maybe it’s just human nature to take the easy way out, but ever since AI exploded onto the scene 2 years ago, I’ve noticed a growing trend: Everyone seems desperate to hand the keys over to AI. It’s a

How we make sense of things is driven by our own internal reasoning, not some outside intelligence.

@AdamMGrant Get rid of our devices? We can totally just use it like e-paper. The main thing is the writing itself, not the medium we use.

Man, Gemini is absolutely savage 😂. I asked it to pull the most dramatic, story-packed scene from the whole OpenAI soap opera and turn it into a comic. And this is what it gave me: A typical therapy room. A man (we all know who) is lying on the couch. The therapist sits in a

The AI Reasoning Myth: We're Mistaking Association for Logic What we're currently calling AI "reasoning" (e.g., Chain of Thought) isn't true reasoning. It's an incredibly powerful form of association—more akin to imagination than logical deduction. AI appears to "associate"

The Human Touch in AI Product Design Today I spotted two smart details in Claude Code & Gemini that showed how thoughtful GenAI UX can be. 1️⃣ Claude’s quick surveys @AnthropicAI's Claude Code slips in short NPS-style questions during tasks, gathering feedback right in the

ChatGPT Agent shows once again how OpenAI builds its products: they wrap cutting-edge AI in a way that feels like a regular internet app. ChatGPT Agent is a closed, all-in-one setup. This approach has worked well before for 3 reasons: the tech is hard to copy, the tasks were

https://t.co/WljdjN1bgE In the future, interaction will be fluid & multimodal, pointing toward the rise of the AI OS. With AI, the CLI gains new strength and becomes the main way to direct a digital workforce of agents.

Where’s AI’s killer app? Maybe the question itself shows our limited thinking. For 3 years, we’ve been chasing answers with an OLD app mindset. Maybe we’re just stuck in it.

What will AI Apps look like in the future? Do you think the chatbot style like ChatGPT is the future, or is it more like Claude Code or Gemini CLI? Maybe we can find the answer in @karpathy’s recent talk and some of the latest CLI tools.、 https://t.co/WljdjN1bgE

The transparency paradox in AI-assisted writing Disclosure invites accusations of shirking responsibility, while non-disclosure suggests deception.

Beyond Context: The Perception Gap in LLMs The real issue isn't just memory or prompts. It's about how a LLM understands & senses the world—its PERCEPTION—and even how it makes decisions. In this sense, LLMs still lag behind embodied intelligence.Don’t get fooled by people

Dynamic GUIs: An AI-Native Way to Interact? Google still has some really creative folks! This video is super inspiring. In the AI age, product GUIs shouldn’t be built ahead of time—they should be generated on the fly. Today’s GUIs focus on letting people click through steps or

Silicon Valley tech leaders are pushing AI/AGI with a kind of “religious” passion. They expect everyone to believe in it. But their vision often serves the interests and values of the tech elite, not everyday people. Still, they use FEAR to pressure everyone into going along.

In EVERY human-AI interaction, the QUALITY of machine intelligence should be evaluated—and needs to be. Just like in human conversations, we constantly assess the situation based on our words and the other person’s response, then decide what to do next. #ai #llm #agent #eval

>> Steve 🗣️ Tim @tim_cook , Apple OS is all we need. Simple. Clear. That’s the way it should be. 😃

This is from Anthropic’s free course AI Fluency. A solid intro if you want to level up your AI skills—like task management, but for AI.

Anthropic's AI Fluency AI Fluency isn't just about using AI tools—it's about working WITH them effectively, ethically & safely. It combines 4 key skills: - Delegation: what should AI vs humans do - Description: clear communication - Discernment: critical evaluation -

AI Skills: Who Needs What? AI skills vary by role. Only 0.5%-1.5% of workers are AI specialists (e.g., builders), while 10%-15% implement AI. Most (85%-90%) just need basic understanding—no deep expertise.

AI’s Two Paths Nobel laureate Daron Acemoglu defined 2 AI paths based on historical tech evolution. This framing helps businesses choose impactful innovation strategies. Path 1⃣: Automation – Replaces human tasks with AI to cut costs, common but lacks long-term innovation.