⚙️ The Technopoly we live in

This is what we have today.

• AI to Revolutionize the Olympics and the way we consume Sports
• 🧰 AI Tools — No-Code low-Code AI Agent Builders
• 📚Learning Corner — Vibe Coding 101
• Why AI Is About to Make Your Devices More Expensive
• The Technopoly we live in

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📰 AI News and Trends

• Instead of putting people out of work, AI is mostly helping them do their jobs, finds a new Anthropic study.
• Nvidia to invest in Harmonic, a hot startup focused on AI systems designed to solve mathematical problems.
• OpenAI’s long-rumored introduction of ads to ChatGPT just became real
• Anthropic is aiming to raise $25 billion or more at a $350 billion valuation — more than double its $170 billion valuation from just four months ago.

Other Tech News

• Tesla’s FSD, like almost everything else, is becoming a subscription
• America is slow-walking into a Polymarket disaster, and Goldman Sachs is adding gasoline to the fire.
• Why Greenland’s natural resources are nearly impossible to mine
• BBC in Talks to Produce Content for YouTube in Landmark Deal

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AI to Revolutionize the Olympics and the way we consume Sports

NBC Sports is rolling out a real-time AI player-tracking feature that lets viewers follow specific athletes live on mobile, marking a shift toward personalized sports broadcasts.

The system, called Viztrick AiDi, was developed by Nippon Television Network and uses facial recognition to identify players, track their movement, and automatically crop live horizontal feeds into vertical, mobile-first video. Viewers will be able to tap a player in the NBC Sports app and watch a real-time feed centered on that athlete, while traditional broadcasts remain available. The technology has already been used in Japan for live stat overlays and is expected to debut during NBC’s 2026 coverage, including the 2026 Winter Olympics, highlighting how AI is turning sports viewing from one-to-many broadcasts into customizable, athlete-centric experiences.

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📚Learning Corner

I’m taking this course, but Lovable is my current vibe coding platform of choice, followed by Cursor.

Why AI Is About to Make Your Devices More Expensive

Global AI demand has effectively sold out the memory market, creating what analysts are calling an unprecedented shock.

AI chips from Nvidia, AMD, and Google require massive amounts of high-bandwidth memory (HBM), pushing supply far beyond capacity and driving DRAM prices up 50–55% quarter-over-quarter, the sharpest jump on record. Three suppliers, Micron, Samsung, and SK Hynix, control nearly the entire RAM market and are prioritizing AI and data centers, where margins are higher, and buyers are less price-sensitive. Micron alone is “sold out for 2026,” its stock is up 247% year-over-year, and memory now accounts for ~20% of a laptop’s hardware cost, up from ~10–18% in early 2025.

The spillover is hitting consumers: companies like Apple and Dell Technologies warn of rising costs and potential price increases. AI has turned memory into the new bottleneck, the “memory wall,” and until new fabs come online in 2027–2030, higher hardware prices look structural, not temporary.

🧰 AI Tools of The Day

I currently use Make and Zapier the most, but I am learning N8N and plan to move some automation there soon. Make is very easy to use, and you can get some automations going in minutes, but N8N, although a bit more complex, is more scalable and cost-effective in the long run

• Make — Most popular. Visual workflow builder with advanced data transformation and conditional logic, suited for complex multi-step automations.
• N8N — low-code/no-code workflow automation platform for creating custom integrations between apps, services, and AI, using a visual interface with connected “nodes” (blocks for actions/apps) to automate tasks.
• Activepieces — Open-source, AI-first automation platform you can self-host. Strong no-code builder with a growing integrations library.
• Gumloop — AI-centric workflow tool focused on connecting LLMs to tasks and services via visual node flows — good for agentic automation.
• Pipedream — Hybrid pro-code/no-code automation platform with extensible workflows and lots of integrations; useful for developer teams.

The Technopoly we live in

A new Stanford–Yale study challenges the AI industry’s core legal defense, showing that leading models from OpenAI, Google, Anthropic, and xAI can reproduce copyrighted books with 76%–96% accuracy, including near-verbatim outputs of Harry Potter and 1984.

In some cases, entire books were reproduced with 95.8% accuracy, raising serious questions about whether these systems are memorizing data rather than merely “learning” from it. While this may seem like a narrow copyright issue, it points to a broader shift toward technopoly, where a small number of tech companies accumulate unprecedented control through data, scale, and pattern recognition. Firms now hold vast troves of personal and behavioral data, enabling them not only to understand the past and present but to increasingly predict and shape future behavior. Platforms like Palantir illustrate how deeply integrated data systems can be used to map identities, movements, and decisions at a population scale and use all that data against its own citizens (Ice, Ice, Baby).

As AI systems grow capable of replicating books, music, software, and even entire businesses, the central question becomes less about innovation and more about power. Who controls these systems, who sets the rules, and how democratic institutions, that’s if democracy still exists as our votes are increasingly manipulated by social media and tech companies that shape opinion and even count the votes, can realistically keep pace with companies that move faster, see more, and know more than any government ever has. Maybe the only solution to freedom from manipulation is to pull the plug, literally. We are being optimized into automated humans.

Do we live in a Technopoly?

Has power shifted from institutions to platforms?

• Tech companies control infrastructure: communication, cloud, payments, AI, identity (Data Centers will enhance this)
• Algorithms shape behavior: what we see, buy, believe, and vote for (Social Media)
• Data replaces consent: prediction and nudging matter more than public debate (Data is the new oil)
• Speed beats regulation: governments move in years, platforms move in weeks
• Private rules act like laws: content moderation, access, pricing, visibility

⚙️ The Technopoly we live in was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.