Neurolov@neurolov

World’s 1st Decentralised AI Ecosystem. backed by @Victusglobal.

 UAE
linktr.ee/neurolov.tech
Joined May 2024
498 Photos and videos
Devs, the wait is almost over. The Neurolov family is getting ready to bring a strong gift for everyone building in tech. Because the reality for developers today is simple: You can have a great idea, but who supports you when you actually want to build it?
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1. No technical support. 2. No compliance guidance. 3. No ecosystem support. 4. No clear path to turn innovation into something sustainable. Sometimes a developer can build something incredible but still struggle to pay the team’s salaries from that innovation.
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Sometimes the community doesn’t support the project. Sometimes the message isn’t communicated clearly. Sometimes the system becomes unnecessarily complex. Building should not feel like doing everything alone. We’re building Neurolov to change that. The wait is almost over.
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Something big is about to be born in the Neurolov ecosystem. A new energy. A new power. A whole new chapter. The countdown begins.
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Neurolov has been pregnant for the last few days... And now, the time has finally come. 👀 Neurolov family, be ready. A new baby is about to arrive. 🍼 Something big is coming.
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The demand is real. Devs don’t just need another platform. They need access to compute, tools, and infrastructure that’s affordable, simple, and actually built for them. Thousands of great ideas never leave someone’s mind because the cost of building them is too high.
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We think it’s time to change that. Make development cheaper. Make ideas easier to build. Let devs bring their craziest ideas to life and make money from them too. Because at the end of the day, it’s all about building something valuable and getting paid for it.
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Every compute platform in 2026: Expensive compute ❌ Dev support ❌ Documentation ❌ Simple pricing ❌ Developer: Help Me... 💀
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The next tech revolution won’t just give us better devices. It could completely change what a “computer” even looks like. Here’s a glimpse of what may be coming ↓
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more replies
Charging could become far less frequent. Nuclear battery and other long-duration energy technologies are being developed with the potential to power certain devices for years or even decades.
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And computers could become incredibly thin. Why? Heavy compute doesn’t necessarily have to live inside the device. AI, simulation and eventually some quantum workloads can run on remote infrastructure while your device becomes the interface. Less hardware in your hands.
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Singapore, we’re coming. 🇸🇬 Excited to be joining the Founder × VC Summit in Singapore and connecting with the right minds.
Backers Stage Capital | Token2049 🇸🇬
@BackersStage
Aug 24
THE FOUNDERS ARE COMING TO SINGAPORE AND SO IS THE CAPITAL We’re bringing the Founder × VC Summit to Singapore building a room where ambitious founders meet the capital shaping what’s next during @token2049 week. Two days bringing together banks, institutions, investors, and leading founders across AI, Web3, RWA, and beyond. October 6 and 9 | Singapore 🇸🇬 A limited number of Partner slots are still open. If you want your brand in the room where the right conversations happen, let’s build together. Apply now → backersstage.com/founder-x-v…
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DePIN is down this year and the reason is not complicated. Most of it was selling capacity nobody was buying. Supply first, demand someday. Robotics teams are paying human teleoperators by the hour, today, because no alternative exists. Demand-first network. Not the same trade.
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A new category is quietly coming to PCs… 👀 No GPU..... Yet workloads heavier than what a GPU-powered PC handles today.
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Here is why compute is the answer, and why that is good news for you specifically.🤖 LLM training cannot run on home GPUs. Every layer talks to every other layer constantly. Without datacenter interconnect it collapses. This is why generic DePIN could never touch the highest-value AI workload. Robot simulation is built differently. One task splits into millions of randomised practice worlds. None of them talk to each other. Any shard. Any GPU. Any latency. Which is how a gaming rig in singapore can help train a robot arm in Boston.
Neurolov@neurolov
Aug 18
Honest question for the timeline. Where is the actual bottleneck in robotics right now?
Made with AI
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Honest question for the timeline. Where is the actual bottleneck in robotics right now?
0% Better AI models
0% Robot hardware
0% Training data
100% Compute to process data
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10 votes • Final results
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Everyone is collecting robot data. Nobody can turn it into skill. A robotics team records 40 hours of demonstrations. Good data. Expensive data. To make a robot actually perform the task, those 40 hours have to become millions of practice attempts in randomised simulated worlds. It’s not just a data problem anymore. Robotics still needs more data, but before humanoids can learn from it, they need massive compute to turn that data into real-world intelligence. Neurolov is the training ground.
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Article

Neurolov vs. XFRA: Two Different Approaches to the Future of AI Compute

Introduction The next bottleneck in artificial intelligence is no longer simply the availability of better AI models. It is compute. As AI workloads move from experimentation into production,

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Decentralized Training Ground
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