Flutter "compiles to native," but the UI is just a giant canvas they paint themselves. React Native uses real native views, so you get actual platform widgets, accessibility, and OS-level optimizations instead of shipping your own game engine.
Also, Google has a habit of hyping projects then quietly killing them (I sadly took the Polymer ride).
Amazing, there are estimated 86 billion neurons in the human brain, so they are just short of 85 billion and change.
But I think there is more to it, how many are used for speech vs vision, how much is used for motor control. If the idea is to build a speech neuron activity to some sort of ml data representation it's probably way less than 85b.
1. AI regulation becomes fragmented and messy as different jurisdictions implement contradictory rules. The EU's AI Act creates a "Brussels effect" but China and the US take divergent approaches, creating headaches for global tech companies.
2. "AI-free" becomes a marketing term like "organic." Premium services start advertising human-only customer service, human-written content, and AI-free creative work. A certification industry emerges around this.
3. Climate tech sees a boom in investment as extreme weather events continue to drive home the urgency. Particular focus on grid-scale energy storage and carbon capture technologies.
4. The "nearshoring" trend accelerates, with Mexico and Eastern Europe becoming major manufacturing hubs as companies seek alternatives to China while staying relatively close to major markets.
5. The first mainstream consumer AR glasses hit the market, but like early smartphones, they're clunky and limited. The real impact is in industrial and professional applications.
6. Remote work stabilizes at a new equilibrium: most tech companies settle into a hybrid model with 2-3 office days per week. Fully remote becomes less common as companies optimize for "collaboration days."
7. The web3/crypto world pivots hard toward "real world assets" and practical financial applications, moving away from speculation. Smart contract platforms become boring but useful infrastructure.
8. A major cybersecurity crisis involving AI models leads to a fundamental rethinking of model deployment and security practices. "Model poisoning" becomes the new ransomware.
9. The shortage of high-end GPUs starts to ease as new fabs come online, but the industry faces a new bottleneck in networking equipment and specialized AI accelerators.
10. Traditional higher education faces a crisis as employers increasingly accept alternative credentials and bootcamps. Several mid-tier universities merge or shut down.
- Claude | when asked for hacker news style prediction. I agree with most predictions.
The E-GMP solution is also a clever one. I believe the inverter is limited to about 150 kW sustained (I think it can peak a little higher to the motors). 150 kW isn't bad but it's also a fair ways away from the 230 kW E-GMP will do on 800V.
Also, Google has a habit of hyping projects then quietly killing them (I sadly took the Polymer ride).