🌿 Green AI: Making AI Environmentally Friendly

As AI grows in power, so does its environmental footprint 🌎. Training a single AI model can emit as much CO2 as five cars in their lifetimes 🚗. Data centers consume about 2% of the world's electricity, and e-waste from outdated AI hardware is a rising concern 📦.

To make AI sustainable, we're developing energy-efficient algorithms that require less computational power 💻. We're also implementing carbon-aware training by scheduling during off-peak hours when renewable energy is more available. Eco-friendly data centers are shifting to renewable energy sources and advanced cooling systems.

However, challenges remain, such as balancing model accuracy with energy efficiency and developing standardized metrics for AI's environmental impact.


Food for Thought: "The greenest energy is the energy we don't use. The same applies to AI – the most sustainable model is often the one we don't train."

https://t.iss.one/durov/422
🤯 ⌚️

🚨 NEW: Security Alliance launches TLS Attestations, a new tool using cryptographic verification to combat crypto phishing and identify malicious websites.

Another win for crypto security.

I don’t need another “pretty certificate”.

I need leverage 💼

Just finished Claude 101 by Anthropic and grabbed the certificate 🤖

My focus as a backend / tech lead & consultant is simple:
– turn Claude into a persistent co‑worker for Node.js/TypeScript services
– standardize architecture reviews, code audits and tech docs through projects & skills
– free more time for high‑leverage work: system design, product decisions, money.
Next step: build a small internal “AI‑operated” pipeline for:
– backend audits (security, performance, reliability)
– medtech/fintech compliance checklists
– concise exec‑ready reports for clients.

Certification is just a checkpoint.
What matters is how many hours of boring work I can delete from my week with this.

If you’re experimenting with Claude in serious backend / fintech / medtech projects, ping me - always open to compare workflows.

The testing pyramid is dead.

It’s not a best practice - it’s an outdated economic model that makes dashboards look good while users eat bugs. ❗️

If in 2026 you still push “70% unit, 20% integration, 10% E2E,” you’re not testing — you’re running a pyramid scheme.
Built for slow CI and monoliths, not today’s microservices, queues, and AI backends.

🔻 What’s wrong:
– Optimizes count, not insight.
– Tons of green units, zero signal on real flows.
– There’s no clean “middle layer” anymore - everything’s E2E.

Modern teams use a test trophy: strong API/integration core, focused unit tests, few critical E2Es.

I run short test architecture audits (link in bio) — 2–3 weeks to cut dead tests, map real bug flow, and rebuild for confidence instead of ratios.

DM PYRAMID if you want the outline.

What hurts more: refactors breaking tests or bugs reaching prod?

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@drdev_tech - AI Tech Cybersec