Unsecured leveraged lending does not exist for retail. Most are either securities-backed or mortgage-backed, but 7x to 10x leverage is unheard of. On top, there is debt service ratios levied by banks. @deepakshenoy views? https://t.co/pzUcMAujuF
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Jun 12, 2026
@Ankit_Quant Most so-called Fin-Influencers are doing these clickbait posts saying 20% IRR return on revised FCNR deposit rates across 3-5 Yrs. Pure BS for 80-90% of NRI’s. No FI provides that kind of leverage to retail folks. Shows how shallow the influencers are
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Jun 12, 2026
RT @paulg: If big companies can’t make a net return on their LLM token costs, that doesn’t mean it’s impossible to. In fact this is exactly…
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Jun 7, 2026
🚴🎧 https://t.co/fZz6ZbQyrZ
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Jun 5, 2026
https://t.co/3vGM37TASI
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Jun 5, 2026
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