Google for Startups CTO Joins 0G Apollo Accelerator as Mentor
Google for Startups CTO Joins 0G Apollo Accelerator as Mentor
🤝 Google meets Web3
Bon Sethi, Field CTO at Google for Startups, is joining the Stanford x 0G Apollo Accelerator as a mentor for the next cohort.
Key Details:
- Sethi specializes in AI/ML and Web3, helping founders build production-ready systems at scale
- The accelerator focuses on decentralized AI infrastructure
- Applications are now open at apollo.0g.ai
The program brings together industry leaders to guide builders working at the intersection of blockchain and artificial intelligence.
The people shaping AI's future are mentoring 0G's next cohort. Meet Bon Sethi, Field CTO at Google for Startups. He sits at the intersection of AI/ML and Web3 — helping founders ship production-ready systems at scale. Stanford x 0G Apollo Accelerator applications are open.
Stanford x 0G Apollo Accelerator Opens Applications for AI Builders
The **Stanford x 0G Apollo Accelerator** has opened applications for builders in the AI and decentralized infrastructure space. **Key Details:** - Led by Patrick Chang, Founder & Managing Partner at Dispersion Capital - Chang brings nearly 2 decades of experience backing infrastructure projects including Helium, Alchemy, Berachain, and 0G - The accelerator offers more than funding - providing builders with access to networks and resources - Powered by theBBFund Apply now: [apollo.0g.ai](http://apollo.0g.ai)
🇮🇳 AI x Web3 Hackathon Heads to Bengaluru with $150K Prize Pool
A major AI and Web3 infrastructure hackathon is coming to India, offering builders direct access to decentralized tools and significant funding opportunities. **Key Details:** - **Prize Pool:** $150K available for APAC region participants - **Location:** Bengaluru, India - **Date:** April 12, 2026 - **Focus:** AI x Web3 infrastructure development The event targets India's developer community, providing hands-on experience with decentralized AI infrastructure before the main hackathon competition. Builders will gain early access to tools and frameworks designed for AI agent development on blockchain networks. This represents a growing trend of Web3 infrastructure providers expanding into Asian markets, particularly India's tech ecosystem.
Meta Abandons Open-Source AI for Proprietary Models
**Meta shifts strategy from open-source to closed AI development** Axios reports that Meta—previously a champion of open-source AI—will make its largest new models proprietary. This marks a significant reversal for the company that helped build the open-source AI movement. **Key implications:** - Major AI labs now control who can access and run advanced models - Anthropic limits its most powerful model to just 40 organizations - The AI frontier is becoming increasingly restricted **Why it matters:** As centralized labs tighten access to cutting-edge AI, decentralized inference infrastructure becomes essential—not as an ideological stance, but as a practical backup plan for developers and organizations seeking alternatives to gated AI systems.
0G Tackles AI Agent Infrastructure Bottlenecks with Upcoming App/Studio Launch
**The Real Problem with AI Agents** 0G identifies a critical gap in AI infrastructure: it's not the models that fail, but the supporting systems. Key challenges include: - Storage for millions of agent memories - Verification of inference outputs - Backup systems when APIs fail **0G's Solution** The platform addresses these bottlenecks with an integrated approach: - Chain + storage + data availability + compute - Purpose-built for the agentic economy - Focus on verifiability and reliability **What's Next** App/Studio launches in 3 days, aiming to provide the infrastructure layer that AI agents need to function reliably at scale.