Most people treat ChatGPT the way a 1979 lawyer treated the spreadsheet: very cool, but no idea what to do with it. At SuperAI Singapore, Benedict Evans broke down why the value sits above the models, in the boundless questions they finally let you ask. Watch here:

The more AI reasons, the more compute each answer demands and the slower it runs. Past a point, latency caps how much reasoning you can actually use. That's why Andy Hock of @cerebras calls speed a form of intelligence. Catch the full session:

2,000 applications. 200 builders. 36 hours. 5 finalists. VeriClaims AI. BUNKERGUARD. Bloom. Willow. Built, shipped, demoed. That's NEXT. Powered by @awscloud, @vercel, @stripe, @ExaAILabs @RazerAI

What makes an AI model "frontier" in 2026? And who actually captures the value? Hemant Mohapatra (@MohapatraHemant) took on those questions at SuperAI Singapore (@superai_conf), on a panel with Geoff Soon (Mistral) and Cherie Shi (MiniMax), moderated by Zixuan Li ( Two arguments he made on stage that builders should take note of: 1.⁠ ⁠We're still in AI's extractive phase. •⁠ ⁠Value sits with whoever extracts intelligence best. So today's frontier is benchmarks and tokens per dollar per watt. •⁠ ⁠But the phase will shift to distribution. Then the frontier splits: •⁠ ⁠Problems of scale (coding, reasoning) → won on cost and usability. •⁠ ⁠Problems of scope (cancer, materials science, robotics) → fractal. They get harder the deeper you go. Winning there takes testing null hypotheses, RL, creating de novo knowledge. (Hemant has written about this extractive vs. distributive framework in depth — link below.) 2.⁠ ⁠Open weights exist to commoditize the intelligence layer. That's a good thing. •⁠ ⁠If a handful of companies own intelligence, the gains pool the way oil wealth does. •⁠ ⁠Commoditize the base layer and value moves up to applications, where everyone can pay to play. •⁠ ⁠The trap for open-source labs: positioning as SOTA model companies locks them into selling tokens at market price, without owning the infra to serve them. •⁠ ⁠Owning a pond doesn't make you a water business. The money is in cleaning, piping, and delivering the water. Thanks to the SuperAI team, as well as Alex Fiskum (@AlexFiskum), for hosting. @MistralAI @MiniMax_AI @ZixuanLi_ @Zai_org

The 100x company isn't about headcount. It's about AI as the intelligence layer connecting every workflow, decision, and customer interaction. Hyunjin Kim (@INSEAD), Haydn Sallmann (@googlecloud), @WilliamBryk (@ExaAILabs ), Ang Li (@SimularAI), and @bernardleong (Dorje AI) on what that operating model actually looks like.

Design. Product. Engineering. AI is collapsing the distance between all three. @randyjhunt (@NotionHQ), Nathan Xu (@PLAUDAI), Jose Florido (@magnific) and Savannah from @ideo on what it means to build when the gap between idea and execution is almost gone.

Data center demand growing 3.5x by 2030. GPU lead times at 36–52 weeks. Grid connections taking 4–7 years. Sachin Hindupur from @AMD on the infrastructure wall AI is about to hit and what it takes to produce more with the same or less.

36 hours of building. 5 teams standing. The NEXT Hackathon finalists have been announced. They demo live on the Weka Stage at 5:40pm today. $200K in prizes powered by @awscloud , @Vercel, @ExaAILabs, @stripe, and @RazerAI .

Day one wrapped and the energy was undeniable! Full rooms. Packed stages. Conversations spilling into the corridors. Balaji, Benedict Evans, Max Tegmark, Planet Labs, Cerebras, Google Cloud, Exa, Stripe and more. You showed up. Day 2 will be even bigger. See you tomorrow.

When OpenAI, Anthropic, DeepMind, and the world's most ambitious AI companies share Marina Bay Sands with 10,000 leaders for two days — every conversation carries weight. SuperAI. June 10–11, Singapore.

Randy Hunt (@randyjhunt) is Head of Design at @NotionHQ, where he’ll share how AI is collapsing the distance between design, product, and engineering, and why the next generation of designers will look a lot more like builders. Catch him on the main stage at SuperAI Singapore on 10-11 June.

The AI memory wall is costing you throughput. Diamond Partner @WEKA fixes it at the infrastructure layer: 1000x KV-cache expansion, 20x faster #TTFT#. See it at SuperAI Singapore, June 10–11.

Diamond partner Bright Data is what 70%+ of the world's leading AI labs use to train their models. From large-scale video data for robotics training to reliable agentic web access in production - it's the web data infrastructure the AI industry runs on. SuperAI Singapore, 10-11 June.

200 of the sharpest AI and ML engineers will go from idea to working product in 36 hours at the NEXT hackathon. US$130,000 in prizes, backed by @awscloud and @vercel . This is the room you want to be in if you ship. Applications close 19 May: