Labhesh Patel

Ode to the Coder of Yore I pace no more. Once, I wandered in loops of thought, Wrestled the stack for truths half-caught— A puzzle grim, a nightly war, Each bug a beast I’d faced before. I’d mutter hex and grep the logs, Pray to the docs, curse API gods. Stack Overflow was sacred ground, Where wisdom slept in scrolls unbound. I’d read a thread ten years decayed, And find my path in what they’d made. I knew my code. I felt it breathe— From init call to graceful leave. But now? The cursor hums. The agents write. It stitches tests at morning’s light. The function’s neat. The mocks are clean. The output? Matches what I mean. And yet… Does it work? Does it work? When traffic spikes and packets surge, When threads collide and queues emerge, When state gets weird and disk runs dry— Will the pretty scaffolds hold or die? I don’t know. The agent says it’s all okay, And ships it all by end of day. It passes tests it wrote itself— But did it test the pain I felt? There was a time I’d know the fault Before the system came to halt. I’d trace the cracks with careful hands, Predict the crash like shifting sands. But now? localhost:3000 blooms— A screen appears in silent rooms. A button works. A menu slides. A joy… I guess? But one that hides. I stare, and wonder: Did I write this? It feels like mine, yet something’s amiss. Emergent quirks, a flow unplanned, An elegance I did not command. And somewhere, deep within that thread, A nested clause I’ve never read— A ghost in code I can’t explain, A glimpse of someone else’s brain. I miss the grind, the slow ascent, The hours lost, but none misspent. When every line was understood, And bugs meant progress, in a way, they could. So here’s a toast to what was then— To pacing halls and thinking dens. To every coder, poet, sage— Who shaped each tab with quiet rage. And if some bard, in years gone by, Had written this with teary eye— You’d nod and say, a soul revealed… But alas, this poem was machine-conceived.

🎉 Meet the @AutonomysNet team at any of our 5 side-events at @TOKEN2049. They're set to be some of the best: thestreet.com/crypto/innovat…

4/4 As focus shifts from bigger models to smarter agentic layers, @AutonomysNet enables global, collaborative AI development. This means more efficient resource use and AI tools that better mirror human thinking. It is not just about tech progress. It is about moving towards a more equitable future.

3/4 @AutonomysNet is democratizing this AI revolution. Our decentralized infrastructure makes advanced agentic behaviors accessible to all, not just tech giants. AI for everyone, not just the few.

2/4 This agentic layer breaks down problems, makes multiple foundation calls, and synthesizes answers. It mimics human problem-solving, turning AI from a brute force tool into an intelligent reasoning system.

1/4 LLMs think in tokens. Breaking complex problems into smaller chunks leads to better results. This "agentic behavior" is the real innovation in the latest AI advancements such as OpenAI's o1 release. It's AI learning to reason, not just respond.

At Autonomys, we're building a solution: a decentralized network for AI inference. Imagine running models like o1 on a global, distributed infrastructure. It's not just more efficient—it's democratizing AI. The future of AI isn't just smarter, it's more open. #AutonomysNet

The power of chain-of-thought is clear: o1 scored 83.3% on 2024 AIME math exams (top 500 nationally), achieved 78% on PhD-level science questions (GPQA Diamond), and reached 1673 Elo in competitive coding (89th percentile). This is a major breakthrough! Visible reasoning, remarkable results. #OpenAI #AutonomysNet

OpenAI's o1 (Strawberry) release is a leap forward in AI reasoning. Its chain-of-thought approach aligns with our vision at Autonomys for more transparent, trustworthy AI. But it raises a crucial question: As AI gets smarter, how do we keep it accessible? #OpenAI #AutonomysNet

5/ Thoughts on this? How do you see AI infrastructure evolving beyond the ‘brute force’ phase? #DecentralizedAI #deAI 🔗 theregister.com/2024/09/10/b…

4/ While I agree #GenAI hype has outpaced reality in many cases, I’m optimistic about its potential when combined with other AI techniques and backed by the right decentralized infrastructure.

3/ @Gartner_inc's belief in a composite AI future aligns with @AutonomysNet's vision. Our modular blockchain and domain-based execution environments enable exactly this kind of flexible, multi-technique approach to #AI.

2/ Our sharded PoAS consensus and high-throughput DSN are designed for the next phase of #AI development. We’re building for elegant, efficient AI solutions, not just throwing GPUs at the problem.

1/ 🧵 Fascinating take from @Gartner_inc on the ‘brute force’ phase of #AI. At @AutonomysNet, we’ve long believed that scalable, efficient infrastructure is key to AI’s future—not just raw compute power.

🪞 Reflection 70b: venturebeat.com/ai/new-open-… 🚿 Open-washing: economist.com/business/2024/…

Yet another case of open-washing with Reflection 70b. Open-source AI (AI3.0) means using, copying and modifying models without being at the whim of Big Tech. The open-source community cannot let them redefine it 👇

Groundbreaking study by @Stanford shows AI can generate more novel research ideas than human experts! This could accelerate scientific progress dramatically. At @AutonomysNet, we're working to democratize access to these powerful AI capabilities so everyone can benefit from and contribute to this technological revolution. #AIResearch arxiv.org/pdf/2409.04109

🔗 economist.com/united-states/…

It costs ~$30,000 of electricity to mine one #bitcoin. That is fundamentally unsustainable and is losing crypto allies. @AutonomysNet farming provides a much more cost-effective and eco-friendly alternative to resource-intensive mining, and you can set up Space Acres on nearly any computer in <10 mins: docs.autonomys.xyz/docs/farm…