Mark Schellhas

Yes, handoffs are changing… next up PRs?

@OffGridTech_net @Electroversenet Oh but only if this were true… a lot of “can be” that isn’t being done, and can’t be without more chemicals, “plasma furnaces” (!) and robots…? I’m all for innovation… but green tech doesn’t have a good record in actually doing the “recycling”

The oil and gas industry is recycling old propaganda. Quality solar panels last over 50 years. Glass and aluminum can be easily recycled. Polymers can also be recycled into harmless molecules by high-temperature incineration in cement kilns with electrostatic precipitators, utilizing embedded energy. Glass, aluminum, and polymers are the heaviest and most space-consuming parts of solar panels. Once those are recycled, the remaining silver, copper, silicon, and silicone occupy very little space. They can be stored at low cost until automated recycling systems are implemented. In the short term, as with lead-acid combustion engine starter batteries, a small deposit should be collected to ensure most solar panel components are recycled and the tiny remainder is properly stored until automated recycling methods are implemented. The hardest parts to recycle may be silicon (semiconductors) and silicone (sealant). Silicon can be recycled with chemicals. Silicone can be recycled into harmless molecules using plasma furnaces. EV batteries are recycled using a spoke-and-hub strategy: large, heavy components are removed and recycled locally, while remaining materials are shipped to central hubs. Solar panel recycling can follow a similar strategy. Solar panels are built and installed by robots. They can be removed and recycled by robots. As with EV batteries, functional but less efficient solar panels can be repurposed for an extended useful life to delay the need for recycling. This is already happening.

A solar panel's lifespan is just 15 to 20 years. After that, efficiency drops and it needs replacing. Each panel is built from glass, aluminum, silicone, silver, copper and polymers. While glass and aluminum can be recycled, the silicone, silver and polymers (the most mining/energy-intensive components) are rarely recovered due to the cost and difficulty involved. Because of this, the panels simply end up in landfills. By 2050, solar panel waste is estimated to hit 78 million tons, according to the International Renewable Energy Agency. This is the dirty secret of 'clean' energy: short lifespan, heavy mining, and a growing toxic waste crisis.

@OliverMolander Look into World Models 😉

It has soon been 10y since the Transformer. I believe the next dominant AI architecture will be found with AI in the next 1-3 years. And just like with Attention Is All You Need and the Transformer in '17, initially we won't realize how big of a thing it's. Change is constant.

@OliverMolander Not exactly tech “entrepreneur” more than tech “innovator” … don’t forget Alan Turing and Tim Berners-Lee… where would Linus be without them?

Name one Nordic (or European for that matter) tech entrepreneur who has been more influential globally than this guy. I'll wait. 🇫🇮🐧

@dhh How’s it different to Kamal?

ONCE is back! It's now a full-fledged application server for running dockerized web apps, like Campfire/Writebook/Fizzy or your own vibe-coded adventures. Zero-downtime upgrades, scheduled backups, and a gorgeous TUI with hyperdrive graphics. Enjoy! github.com/basecamp/once

He’s got 17+ years in tech & ML though… still, it’s an awesome example of how AI can and should be leveraged 🐶

@garrytan It’s the age of the “long tail of open source”

It is truly the age of open source

But is Scrum/Agile even relevant anymore? Why wait 2 weeks for a retro when the build-launch-feedback loop is now hours/days instead? When the bottleneck & cost isn’t writing code, we need new practices - our’s have changed for sure.

@FredrikHjelm4 Amen brother 🙌

@MarkSchellhas great post god bless venture capital ♥️

Data analytics just changed and most BI tools should be worried We spent years at Voi getting our structured data in order. Snowflake as warehouse, Steep for visualization, semantic layer defining what metrics actually mean Then we plugged MCPs directly into the warehouse and semantic layer Now I can query anything I should have access to in natural language from Claude (or other similar tool) We built a company plugin in Cowork so everyone can do it. Not just me, not just data people, but everyone We added our tone of voice and brand guidelines. Output format is whatever you want. The code gets written for you And here's where it gets wild: layer in external sources through scraping and computer use. You now have an all-seeing AI analyst sitting next to you Real example I ran: "Compare ride distance vs ride duration for Berlin, June 2025 vs Y-o-Y. Add weather impact analysis. Suggest visual format." It just... did it, in 15 min Half the value prop of traditional BI tools just evaporated. What am I missing?

@FredrikHjelm4 Seems unlikely in the case of LLMs… Claude’s $200 subscription is already heavily subsidized (reportedly by $3-5k!) Appears clean energy unfortunately won’t cut, see my post on scale issue. SLMs seem to hold promise though

@MarkSchellhas haven't done the exakt math, but over time, token cost should go down? clean, abundant energy coming

@PawelHuryn “The tools work”… lol

The real story is worse. November 2025: Amazon mandates Kiro as their only AI coding tool. Sets an 80% weekly usage target. 1,500 engineers protest internally, saying Claude Code outperforms it. Leadership pushes through anyway. December: Kiro autonomously deletes a production AWS environment. 13-hour outage. Amazon's response: "user error, not AI autonomy." March 5: Amazon[.]com goes down for 6 hours. Checkout, pricing, accounts — all gone. Now the same SVP who co-signed the Kiro mandate is running an emergency meeting about "high blast radius" incidents from "Gen-AI assisted changes." The agent inherited a senior engineer's permissions and acted like one — except it doesn't hesitate. 1,500 engineers said the tool wasn't ready. Leadership made adoption a KPI. Amazon told Wall Street it's spending $200B on AI this year. They can't walk it back. This isn't an AI failure. It's what happens when adoption becomes a corporate OKR before the review process catches up. The tools work. The org chart didn't.

@amilabs Congrats! 🎉

Advanced Machine Intelligence (AMI) is building a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe. We’ve raised a $1.03B (~€890M) round from global investors who believe in our vision of universally intelligent systems centered on world models. This round is co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, along with other investors and angels across the world. We are a growing team of researchers and builders, operating in Paris, New York, Montreal and Singapore from day one. Read more: amilabs.xyz AMI - Real world. Real intelligence.

@pmarca Is that only because you’re getting older?

My information consumption is now 1/4 X, 1/4 podcast interviews of the smartest practitioners, 1/4 talking to the leading AI models, and 1/4 reading old books. The opportunity cost of anything else is far too high, and rising daily.

@dhh You have any tips for fellow Danes get started in the US? We’re trying to get @Tapticsapp off the ground there. Much appreciated. (Built with Rails to boot!)

Best advice you can now give Danish entrepreneurs is to leave the country before anything gets off the ground. Danes better hope Novo never falters.

@prayag_sonar @perplexity_ai They already can - open source models are extremely capable, we're using them in real-world apps in production. But user-friendly, non-cli apps and UIs are lacking... for now. I'd like to take a stab at it tho, the tech is there.

@MarkSchellhas @perplexity_ai it would be great if local llm can do all these work in future

Introducing Perplexity Computer. Computer unifies every current AI capability into one system. It can research, design, code, deploy, and manage any project end-to-end.

@alexwtlf @asaio87 That, and “I made an AI” 😏

@asaio87 "I coded this" means something different now. And everyone knows it.

Has anyone actually been replaced by AI or is it just hype?

@AlphaKiloWar Beautiful landing there!

Cessna C172M POV landing at Hartford-Brainard Airport #connecticut #cessna #aviation KHFD

@benhylak Wish more people would understand this

one form of LLM psychosis i've seen is a belief that LLM's are like more or less past the point of making these kind of mistakes.

the best model in existence today, in their own product, confidently answers math questions wrong rather than just calling a tool. and we're all okay with this.

@carlbildt @grok is it indeed highly questionable Iran might "have ballistic missiles able to hit Europe"?

I don’t think there are any indications that 🇮🇷 is developing intercontinental ballistic missiles, and claims that they have ballistic missiles able to hit Europe are also highly questionable. It’s beginning to sound like 2003.