A peep into what makes ASML so special https://t.co/AExrikZJae
— Abhay 🇸🇬🇮🇳 (@Abhay08)
May 31, 2026
Anthropic has Interesting choice of deal structuring between equity and private credit just before IPO, prudent and measured unlike it’s competitor https://t.co/rvbhYgnylK
— Abhay 🇸🇬🇮🇳 (@Abhay08)
May 29, 2026
Why memory is going to be a key driver in the inference stack https://t.co/e5XESZc4p6
— Abhay 🇸🇬🇮🇳 (@Abhay08)
May 27, 2026
Everyone’s obsessing over FLOPs. Benchmarks, leaderboards, token throughput. But here’s the dirty secret nobody in AI infrastructure wants to admit: the memory wall is the real bottleneck, and we’ve been pretending it doesn’t exist. While GPU suppliers print money selling GPUs with ever-fatter HBM stacks, a quiet revolution is happening in how we think about memory hierarchy—and it’s about to reshape the entire inference stack.
Jensen nails it with task vs purpose, Tasks are what you do (code, draft, analyze, schedule). Purpose is why it matters – judgment, creativity, relationships, and discovering new problems. Master the “why.” Use AI to crush the “how.” https://t.co/VufjNRcEgR
— Abhay 🇸🇬🇮🇳 (@Abhay08)
May 24, 2026
https://t.co/eBWBPPyVq6
— Abhay 🇸🇬🇮🇳 (@Abhay08)
May 22, 2026
For all those who are not working at frontier, trend is moving towards ICs combining domain expertise and adopting codex / cc / cursor agents with self built skills and workflows to cut weeks to days and punch above. The bar has gotten higher https://t.co/MKAXZX6Fon
— Abhay 🇸🇬🇮🇳 (@Abhay08)
May 16, 2026
RT @lennysan: Love this from @ElenaVerna https://t.co/WquwoDdlwv
— Abhay 🇸🇬🇮🇳 (@Abhay08)
May 16, 2026
RT @farzyness: https://t.co/kojNACw3IH
— Abhay 🇸🇬🇮🇳 (@Abhay08)
May 7, 2026
RT @ClementDelangue: 300,000 AI builders have already added their hardware to HF to instantly see what model they can run locally.
To do…
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Apr 29, 2026