Alex Veremeyenko
@alex_verem • 96,901 subscribers
i’m obsessed with ai projects for the good of humanity. also know as: @alex_prompter
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i'm obsessed with what's happening in AI reforestation right now this Franco-Brazilian startup called MORFO took a patch of land in Brazil that was rock-hard and compacted from years of cattle farming. they replanted it using a single drone. months later the ground was covered in grass, bushes, and small trees. the land came back to life. here's how the whole thing works. 1. drones scan the terrain with high-resolution cameras and sensors 2. AI analyzes the imagery alongside soil samples, moisture levels, slope, and surrounding vegetation 3. the system picks from a catalog of 300+ native species, deciding exactly which plants will thrive in which specific spot 4. the drone fires biodegradable seed pods packed with seeds, nutrients, and moisture at 180 capsules per minute 5. satellite and drone imagery monitors regrowth over time, with AI tracking vegetation cover and biodiversity 6. two people and one drone cover 50 hectares a day. a person planting by hand manages about one hectare. and MORFO isn't alone. AirSeed in Australia drops 250,000 seed pods per day into bushfire-scarred koala habitat, replanting swamp mahogany that koalas depend on to survive. Flash Forest in Canada fires 50,000 pods daily into wildfire-destroyed boreal forest, planning the replanting alongside Cree Indigenous communities. re-green won Prince William's Earthshot Prize after planting 6 million seedlings across 30,000 hectares of Amazon and Atlantic Forest. five companies across four continents built this same approach independently. nobody coordinated. the physics of the problem demanded it. knowing which seeds belong in which soil used to require years of ecological fieldwork, manual planting crews, and budgets that made large-scale restoration nearly impossible. now two people with a drone and an AI model trained on local soil data can replant 50 hectares before lunch. this is the AI work that'll still matter in 50 years.
Alex Veremeyenko602,442 次观看 • 1 天前
Read the actual Anthropic piece. It's wilder than the hype precisely because it's so measured. As of last month, Claude writes more than 80% of the code Anthropic merges into its own codebase. Their engineers now ship roughly 8x the code per day they did in 2024. On a fixed test they run every release (take some training code, make it run faster), the model went from ~3x a year ago to ~52x. A skilled human gets about 4x in a few hours. And when a researcher hits a wrong turn mid-investigation, the newest model now picks the better next step 64% of the time. The honest part the hype skips is that Anthropic says we are NOT at self-improvement yet. Claude still can't decide which problems are worth solving. That research taste is the last thing keeping a human in the loop. But they openly map the moment it closes, when agents can build and train models themselves and Claude starts improving Claude. And the loudest signal in the whole thing sits at the end: the company building this is the one asking for a working pause button before the loop closes.
Alex Veremeyenko33,666 次观看 • 27 天前
R.I.P. dev agencies ☠️ There's now an AI that debugs your app, clicks through the UI, finds what's broken, and fixes it on its own. And it hits a 97% success rate. Max isn’t a “code assistant.” It behaves like a full software engineer that never gets tired, never drifts, and never waits for your next instruction. You give it a goal. Max writes the code, tests it, checks the UI, finds the issues, fixes them, and loops until the task is done. Not theory. Actual work. Max handled things that normally eat entire days: • Debugging a Stripe checkout that refused to load • Solving a login-on-refresh issue by tracking network behavior step by step • Building a full Teams & Invites feature UI, routes, tokens, emails, tests while I focused on another part of the product 97 percent of the problems I threw at it got solved without me stepping in. The wild part is how Max operates: It sees the app. It clicks around. It interacts with the environment. It rewrites code. It retries until it works. Goal → attempt → improve → retry → done. Some tasks take 100 moves. Some run for 30 minutes. Most finish before I even finish a coffee. This flips the entire dev workflow on its head. Instead of “write code and hope it works,” you define outcomes and watch the engineer in the background get it done. Every once in a while a tool shows up that changes the tempo of an entire industry. Anything Max is one of them.
Alex Veremeyenko80,419 次观看 • 7 个月前
Google just did it again. They just launched "Google Skills" a free platform to turn anyone into an AI expert. 3,000+ courses, labs & certificates from Google Cloud, DeepMind, and Grow with Google all in one place. → Learn AI, data, and coding from real Google engineers → Earn credentials that actually get you hired → Build hands-on projects with Gemini Code Assist → Compete on global leaderboards and share your wins No paywalls. No BS. Just world-class AI education free. This might be the biggest AI upskilling move of the decade. 👉
Alex Veremeyenko41,913 次观看 • 8 个月前
Everyone is sleeping on how powerful Gamma + n8n + GPT-5 actually is This setup turns raw client info into a polished proposal deck before you even open your laptop. Here is the workflow: → Client fills out a simple form → n8n triggers instantly and sends the data to GPT-5 → GPT-5 expands it into a structured proposal with goals, scope, and pricing → Gamma API auto builds a premium presentation with perfect formatting → Slack sends you a preview to Approve → Approve once and the client receives a PDF plus a live Gamma link It feels like having a proposal team running 24/7. Perfect for agencies, freelancers, founders, consultants, and closers. If you want the Custom Proposal System I built (JSON file ready to import), reply GAMMA and I’ll DM it.
Alex Veremeyenko14,225 次观看 • 7 个月前
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