🖥️ Jensen Huang’s $108 Million Philanthropy

Sam vs Apple: AI war coming?. . 

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Nvidia’s CEO Jensen Huang just donated $108 million in AI compute to researchers, but the “circular financing” behind the deal is what has Wall Street talking instantly.

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AI INSIGHTS

🖥️ Nvidia’s CEO Donated $108M In AI Compute with CoreWeave Connection

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Nvidia CEO Jensen Huang’s foundation just purchased around $108 million worth of AI compute from CoreWeave and donated it to universities and nonprofit research labs.

On the surface, this is a huge win for researchers struggling to access expensive GPU infrastructure for AI and scientific projects. But honestly, the more interesting part is what this says about the current AI race.

  • In January 2026, Nvidia invested $2 billion in CoreWeave, becoming its second-largest shareholder.

  • CoreWeave heavily depends on Nvidia GPUs

  • Nvidia has a $6.3 billion deal with CoreWeave to purchase any cloud capacity that CoreWeave fails to sell to other customers.

  • AI demand is growing faster than compute supply

  • The AI race is increasingly becoming an infrastructure war

Critics refer to this as “circular financing”, where a company invests in or buys from its own customers to bolster their balance sheets, which in turn allows those customers to buy more of the company’s original product (in this case, GPUs).

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AI SOURCES FROM AI FIRE

1. Pro: One Claude Prompt-Chain to Package Your Existing Skills Into a $1,000 Offer in 20 Days. You already have a profitable skill. This Claude workflow, with 4 prompts inside, helps uncover it, package it, and turn it into a real offer.

2. Free: Gemini 3.2 Pro Leaked? GPT 5.6 is Already In Testing & Mythos Preview V2 Dropped!? The AI race is speeding up again. Google, OpenAI, and Anthropic are all pushing new models, but not every leak looks impressive.

3. Video: AI News: OpenAI Daybreak, Gemini Omni, and Claude Agent View Show Where AI Is Moving Next in 2026. AI news is getting serious this week. Watch this if you don’t have time to read.

SIMPLE CLAUDE COWORK SETUP

🏆 Simple Yet Powerful Claude Cowork Setup for Non-Tech Users (Full Step-by-Step System)

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Most Claude Cowork guides you see are too overwhelming for normal users. You open the tutorial and immediately see terminals, coding setups, GitHub repos, APIs, MCP servers, complex folders, and 45-minute videos made for developers.

But most people don’t need all of that. Most non-technical users just want Claude to remember their context, organize their work, or help with workflows.

So if you are non-technical, this is probably the only Claude Cowork setup you actually need to get started. Inside this post, I’ll walk you through:

  • the exact folder structure to create, what files to save

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  • reusable prompt templates, workflow setup, context organization

  • easiest way to make Claude become dramatically more useful long term

TODAY IN AI

AI HIGHLIGHTS

🖥️ Anthropic gave devs tiny computers at its latest conference, and people instantly started building weird projects with them. Here’re 5 of the coolest things so far.

🏆️ Claude Code’s new /goal feature is going viral. People call it the “Ralph Wiggum loop” for AI agents. It keeps the agent working until your task is fully completed.

✨ A new “Gemini Spark” agent is reportedly coming to the Gemini app. It may proactively automate repetitive work across your apps. Here’re all the leaks so far.

💡 Higgsfield launched Supercomputer, a new AI creative agent that plans, picks models, renders assets from your idea. Even no prompt needed. Here’s the demo.

⚖️ Anthropic just released “claude-for-legal,” a free toolkit to turn Claude into a customizable AI legal assistant. It can connect with Slack, DocuSign,… Repo link.

📱 Codex is now live in the ChatGPT mobile app so you can stay connected to active work from anywhere. Available to all plans on iOS and Android. Download here.

🛒 Alexa for Shopping now remembers your purchases, preferences, and past chats across devices. It can compare products, track prices, and auto-buy items for you.

🤯 OpenAI reportedly trusted Apple to help push ChatGPT to billions of users… and now it’s considering legal action because the partnership underdelivered badly.

💰 Big AI Fundraising: Cerebras raised $5.5B in its IPO, with shares surging 108% on debut. It now holds a $66B valuation after growing revenue 76% to $510M in 2025.

NEW EMPOWERED AI TOOLS

  1. 🛠️ Grok Build is xAI’s new agentic CLI tool for coding, app building, and workflow automation, now in beta.

  2. 🧠 Google Skills offers 13 official AI agent skills for Claude Code, Cursor, Copilot,… to automate advanced workflows. Free, open-source.

  3. 🌐 Kimi Web Bridge browser extension can now interact with websites like a human: search, scroll, click, type and complete tasks.

  4. 🤝 Tendem is an AI platform to hand off any task to a human expert. Submit a task in plain language. AI agents handle the volume.

AI BREAKTHROUGH

🏗️ Adaption’s AutoScientist Scales Model Training with Automated Expertise

adaptions-autoscientist-scales-model-training-with-automated-expertise

Adaption has introduced AutoScientist to automate the process of fine-tuning AI models for specific industrial tasks. AutoScientist doesn’t just train a model; it experiments on it until it finds the perfect recipe for a specific task.

  • Smart Selection: It automatically tests different mixtures of training data to see what the model actually learns from most effectively.

  • Hyperparameter Tuning: It constantly adjusts the “settings” (like how fast the model learns) until it hits the user’s specific performance goal.

  • Results: In internal tests, it didn’t just match humans, it beat them. Success rates jumped from 48% to 64%, outperforming expert-tuned models by an average of 35%.

  • Domain Agnostic: Whether it’s complex legal jargon, medical data, or financial reports, the system proved it could handle diverse industries with ease.

While base models like Gemini or Claude are versatile, they often lack the precision required for high-stakes enterprise tasks, such as complex legal document parsing or medical data synthesis, without expert tuning.

If AutoScientist can consistently outperform human researchers, the technical barrier to building top-tier, custom AI falls significantly.

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