SZwanglos – Following Feed

I applaud contributors to make the future of health open 🙏🏻

This is what policy makers in Brussels won‘t get 👇🏻 The current open eco-system is rewiring all value chains. Local AI is opening doors fo new hardware eco-systems. I doesn‘t halways have to be a Mac Mini ;-)

R to @OpenMedFuture: 6/ The reference genome itself was never patented. That single forgotten decision created today’s miracle. Next time someone tells you “accelerating innovation needs strong IP and patents,” hand them this story. Watch their argument quietly disintegrate. Open source doesn’t mean less economic opportunity. It means more lives saved, more companies born, more knowledge democratized, and faster progress than any monopoly ever delivered. Open won. Trillions created for all of us. Now the real question: In the next frontier, AI models, climate data, brain atlases, will we choose the Iron Throne… or the open road?

R to @OpenMedFuture: 5/ The cold math everyone ignores: public investment created a non-rivalrous good that returned 65–141×. Open systems ride Moore’s Law, exponential progress. Closed systems follow Eroom’s Law, costs double every 9 years while innovation crawls. History is merciless: every time we kept foundational science open (genome, internet protocols, GPS), humanity won by orders of magnitude.

R to @OpenMedFuture: 4/ Picture the parent who can now afford the test that diagnoses their child’s rare disease — because the data was never behind a paywall. The cancer patient who gets the right drug first time, because open population-scale data showed doctors exactly what to look for. That’s not abstract. That’s real lives, real families, real hope — unlocked because one policy choice said “this knowledge belongs to humanity.”

R to @OpenMedFuture: 3/ Result? 30,000× cheaper in 20 years. $40–60B market today racing to $150B+. A benchtop $100 genome you can actually buy. Open data didn’t kill incentives. It supercharged them.

R to @OpenMedFuture: 1/ Imagine Pathway A, the one that almost won. Venter/Celera locks the genome behind strong IP. Royalties on every alignment, every diagnosis. Sequencing stays $5k–$20k. Tiny elite market. Precision medicine delayed 15+ years. The HGP’s trillion-dollar economic return? Shrinks to almost nothing.

R to @OpenMedFuture: 2/ Pathway B — the miracle that actually happened: Immediate, unrestricted open access to the full 3-billion-base reference. A true global public good. Massive shared datasets explode: gnomAD, UK Biobank, 1000 Genomes. Open standards. Thousands of open-source tools anyone can use. No gatekeepers. Network effects take over. Competitors (Illumina, Element, Ultima, Nanopore, MGI) all build on the same free foundation.

🧵 The $100 genome just landed (Element VITARI, this week). The point everyone forgets: it only exists because the human reference genome was set completely free in 2000–2003. I’ve spent years pushing open-source and open innovation in healthcare. It feels like standing alone defending democracy in Game of Thrones, while the patent kings build their walls and swear “this is how you accelerate progress.” They’re wrong. Dead wrong. And this story proves it.

Between Gemini 3.1 and Claude 4.6 it's honestly wild what you can build. This feels like Google Earth and Palantir had a baby. Made this with all the geospatial bells and whistles -- real time plane & satellite tracking, real traffic cams in Austin, and even got a traffic system working. Panoptic detection on everything. Skinned the whole thing to look like a classified intelligence system. EO, FLIR, CRT. Got a bunch more stuff on the roadmap. This is fun.

The regulatory capture never has been so visible 👇🏻

On-device AI Assistants are fully compliant, and our Agent Builder empowers every clinician to become an AI innovator. With my new startup, Isaree, we address the challenge that hospital IT departments often can’t solve problems fast enough to meet clinical needs.

Presenting the GLM-5 Technical Report! http://arxiv.org/abs/2602.15763 After the launch of GLM-5, we’re pulling back the curtain on how it was built. Key innovations include: - DSA Adoption: Significantly reduces training and inference costs while preserving long-context fidelity - Asynchronous RL Infrastructure: Drastically improves post-training efficiency by decoupling generation from training - Agent RL Algorithms: Enables the model to learn from complex, long-horizon interactions more effectively Through these innovations, GLM-5 achieves SOTA performance among open-source models, with particularly strong results in real-world software engineering tasks.

Not a fan seeing him go to OpenAI, however he is right. In Europe, we face two key challenges: low productivity per capita and GDP, and a widespread mindset that resists adopting technologies that could boost our productivity. It’s as if we’re proud of doing things the hard way, more paper, more meetings, less output.

Bart De Wever's recent Antwerp speech delivered a brutal reality check on Europe's industrial decline, urging with fierce intellectual urgency that the continent must slash red tape and embrace tech-neutral reforms to avoid becoming a mere museum of past glory.

The actors who stop fearing AI and start using it as a creative tool will be the ones who win, those who see that it gives them the power to produce, direct and star in their own stories without waiting for permission from hollywood.

And what if the greatest barrier to curing cancer isn't its biological complexity, mutations, resistance, and metastasis, but the strangling bureaucracy of regulatory delays, funding shortages and data silos that stalls breakthroughs like immunotherapies and AI diagnostics? In stark contrast, the current wave of open source AI innovation delivers remarkable results at breakneck speed, with releases in the last few weeks like GLM-5 for advanced reasoning and coding, Seed 2.0 for enhanced multimodal capabilities, and Minimax M2.5 for efficient agentic tasks, compressing years of progress into days through collaborative, borderless development and highlighting how dismantling red tape could unleash similar velocity in healthcare, turning cancer from a formidable foe into a defeated one.

My 2018 prediction that open-source AI would rival centralized giants has come true, but its massive expansion has far exceeded my expectations. 🚀🚀🚀

Policy makers in Europe should monitor progress to pivot quickly based on real-world metrics, ensuring initiatives adapt to the ecosystem's pace rather than dictating it. I have the feeling that some still want to dictate innovation, embedded it in their current hierarchies and dogma's. If one thinks like that, he hasn‘t understood anything on how innovation works. And the worst things is that you end up using innovation from regions (eg. China) that have a very different long term goal.

💪🏻 @Bart_DeWever well said!

AI won't displace doctors, but doctors who don't advocate for open-source innovation risk being displaced by those who m

Steve Jobs literally predicted the iPhone, the Internet, AI and the next 50 years of technology in a single speech from

We will look back on AlphaFold as one of the greatest things to come from AI. Will keep giving for generations to come.

Thrilled to see Microsoft's GigaTIME: an open-weight AI turning cheap H&E slides into virtual spatial proteomics! Open c