FounderCoHo

What comes after AI agents?

As intelligence gets cheaper, where will the real value go: frontier models, agentic workflows, distribution, or infrastructure?

Join builders from OpenAI, Google DeepMind, NVIDIA, Amazon & AGI, Inc. to debate what's next.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
• Jay Jung, Tech Lead at @OpenAI
• Shubham Phal, Tech Lead at @GoogleDeepMind
• Tashfeen Suleman (@tashfees), Director at @nvidia
• Dr. Zhenyu Liao, Senior Applied Scientist at @amazon
• Div Garg, Founder & CEO of @the_agi_company
• Moderated by Jing Conan Wang (@jingconan), Founder of @DeepVistaAI

📅 Nov 11 | 5:30–8:30 PM
📍 AWS Gen AI Loft, San Francisco

Candid panel, open Q&A & curated networking.
Request your spot: luma.com/founde-avcl1
#AI #AIAgents

𝗔𝗜 𝗵𝗮𝘀 𝗮 𝗽𝗮𝗿𝗮𝗱𝗼𝘅: 𝗳𝗿𝗼𝗻𝘁𝗶𝗲𝗿 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗰𝗼𝘀𝘁𝘀 𝗮𝗿𝗲 𝗿𝗶𝘀𝗶𝗻𝗴 ~𝟯.𝟱𝘅 𝗮 𝘆𝗲𝗮𝗿, 𝘄𝗵𝗶𝗹𝗲 𝘁𝗵𝗲 𝗽𝗿𝗶𝗰𝗲 𝗼𝗳 𝗔𝗜 𝗵𝗮𝘀 𝗳𝗮𝗹𝗹𝗲𝗻 ~𝟭𝟯𝘅 𝗮 𝘆𝗲𝗮𝗿 𝘀𝗶𝗻𝗰𝗲 𝗚𝗣𝗧-𝟯.

If intelligence keeps getting cheaper, the model alone isn’t the moat. So who captures the value? Labs? Founders? Investors? Whoever owns distribution and infra?

And are agents the end game, or just the start? What comes next: memory, continual learning, world models, or tiny companies run by fleets of AI?

We’re asking builders from @OpenAI, @GoogleDeepMind & @nvidia , moderated by Jing Conan Wang (@jingconan).

📅 𝗪𝗲𝗱, 𝗡𝗼𝘃 𝟭𝟭 · 𝟱:𝟯𝟬 𝗣𝗠 · 𝗔𝗪𝗦 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 𝗟𝗼𝗳𝘁, 𝗦𝗙
👉 Request your spot: luma.com/founde-avcl

Hi Everyone! We've compiled a list of upcoming events and exclusive resources for the @FounderCoHo community. Feel free to check it out and participate!
go.foundercoho.com/weekly-promo

Today, we brought AI researchers and builders together at Stanford for AI Researchers, October 2026 co-hosted by @daytonaio and @FounderCoHo

From long-horizon, stateful agents to world models, reinforcement learning environments, and the next generation of AI evaluations, the evening explored what it takes to train, scale, and evaluate increasingly capable AI systems.

Huge thanks to our speakers, Dr. Zhenyu Liao (@amazon ), Dr. Xide Xia (@Steadyworks, formerly Meta), Xiangyi Li (@xdotli) (@benchflow_ai ) and Muhammad Annas Hashmi (@muhashmii)(@daytonaio), for sharing their research, insights, and perspectives on where agent RL and AI research are headed.

And thanks to everyone who joined us at Stanford for the thoughtful conversations, knowledge sharing, and community building. We're excited to keep bringing researchers, founders, and engineers together to explore the ideas and infrastructure shaping the next wave of AI.

#FounderCoHo #Daytona #AIResearch #ReinforcementLearning #AIAgents #Stanford

𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘁𝗮𝗸𝗲 𝘁𝗼 𝗺𝗼𝘃𝗲 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗳𝗿𝗼𝗺 𝗱𝗲𝗺𝗼 𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻?

At FounderCoHo’s 𝗢𝗰𝘁. 𝟵 𝗦𝗙 𝗧𝗲𝗰𝗵 𝗪𝗲𝗲𝗸 panel, builders from 𝗚𝗼𝗼𝗴𝗹𝗲, 𝗢𝗽𝘂𝘀𝗖𝗹𝗶𝗽, 𝗮𝗻𝗱 𝗛𝗮𝗿𝘃𝗲𝘆 shared practical lessons:

𝗔𝗻𝗻𝗶𝗲 𝗪𝗮𝗻𝗴 @anniewangtech : Combine AI reasoning with deterministic logic. Choose the right approach for each step—including evaluation.

𝗝𝗮𝘆 𝗪𝘂 : Define your target customer. @OpusClip's pivot showed the value of solving a clear customer need; creative tools also need users with a story and intent.

𝗦𝗮𝗺𝗲𝗿 𝗠𝗮𝘀𝘁𝗲𝗿𝘀𝗼𝗻 @samertm : Make answers verifiable. Citation matching helps Harvey’s legal users check outputs against source documents.

𝗣𝗵𝗶𝗹𝗶𝗽 𝗟𝗮𝗻: Start with the user’s workflow. Build evaluations around real failure cases, then account for production costs and system constraints.

𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: 𝘜𝘴𝘦𝘧𝘶𝘭 𝘢𝘨𝘦𝘯𝘵𝘴 𝘯𝘦𝘦𝘥 𝘤𝘭𝘦𝘢𝘳 𝘪𝘯𝘵𝘦𝘯𝘵, 𝘮𝘦𝘢𝘴𝘶𝘳𝘢𝘣𝘭𝘦 𝘲𝘶𝘢𝘭𝘪𝘵𝘺, 𝘢𝘯𝘥 𝘳𝘦𝘭𝘪𝘢𝘣𝘭𝘦 𝘦𝘹𝘦𝘤𝘶𝘵𝘪𝘰𝘯.

Thanks to our speakers, moderator @jingconan Jing Conan Wang, sponsor @Deepvista, and Byron and the Olive team for hosting!

Great to bring together @RuhanDong, @batmany13, @asharoraa, @Danil_KV, @carolinarizo, @freejenko, and everyone who joined.

#FounderCoHo #AIAgents #SFTechWeek.