Bots react. Agents reason. A Telegram bot executes a script blindly. If the transaction fails, it stops. AeroNavigator simulates the outcome before execution. • Intent: "Maximize Yield" • Simulation 1: High IL risk. (Rejected) • Simulation 2: Low volume. (Rejected) •

By 2030, AI Agents will not just be tools. They will be the primary consumers of Web3 resources. • They will pay for compute. • They will pay for data. • They will pay for execution. This is the "Agentic Economy." NetMind is vertically integrated to capture this spend at

Russia trolls hard “It’s all Putin’s fault”

GM Gurus. As we head into the new year, let’s recap the journey so far and what we accomplished. - The platform and token launched successfully, attracting users, interest, and proving demand for an asset management platform in this space, especially in favorable market

"crypto has no real use cases, it's just speculation and ponzi schemes lol" yeah bro whatever

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December

Two types of people right now: Group 1: - “AI will take my job” - “Market is dead, nothing works” - “Everything is saturated” - “Only insiders make money” - “It’s too late to start now” - “I missed the opportunity” Group 2: - learning tools nobody taught them - building

Lotus is on the way, rain or shine. Stay tuned.

Over the past months, the way I work has changed completely. Execution is no longer the bottleneck. Planning is. Most of my time now is spent designing systems with AI before anything runs. I’ll share what we’re learning as we go.

Telos Privacy is live. Open to the public. Today. Not a testnet. Not gated access. Not a whitepaper promise. The Telos Privacy Layer, zkTelos is here — and it changes what this network is. A thread on what launched, why it matters, and what comes next 🧵

We're building toward a world where you can run your entire financial life on-chain - payroll, savings, & payments without every counterparty, competitor or random knowing your position. Telos Privacy (zkTelos) and zkwallet are the first pieces of that infrastructure. Live on

We just shipped a privacy-first wallet on Telos. I’ve been deep in this with Protofire | Token Utility Engineering, working closely with Telos and Justin Giudici. Private balances. Private transfers. No public trace. Designed and built to make privacy actually usable. Try it: zkwallet.telos.net

Biggest mindset shift in AI products: Stop obsessing over training models from scratch. Start with the product your users need, then adapt foundation models to make it real. Product-first beats model-first every time. What’s one AI feature you’re shipping this quarter?

AI isn’t deterministic. It’s probabilistic. That creativity is its superpower… and why it hallucinates. Build workflows that expect variability: strong evals, retries, and human oversight. Lesson for PMs: Ship fast, but measure relentlessly. How do you handle AI inconsistency in

Zcash $ZEC is pumping hard today (+18% and climbing). While a lot of people still think privacy is just “dark web stuff”, the market just remembered that fungible, private money is one of the strongest pillars of any financial system that actually works. Shielded transactions

The biggest narrative of April 2026 isn’t just AI. It’s DeAI. Decentralized AI infrastructure is finally getting real traction. Everyone rushed to train models from scratch in 2024/25. Now the smart money is building on top of decentralized compute (Bittensor, Render, etc.),

2026 is the year we stopped talking about AI agents and started shipping them. Biggest lesson I’ve learned building agents at Protofire: The hard part isn’t the model. It’s giving them memory, tools, autonomy, and consequences. All while keeping them controllable. We went from

2026 is here, and we’re already delivering complete, production-ready apps built almost 100% by AI agents. This isn’t hype. It’s the daily reality. Here’s how the process looks now: - The client explains the idea - We spend ~70% of the time together building a solid PRD - Deep