I think slowly Big Tech / Big AI will suck up all apps Before they couldn't do niches and we could But with AI they can do niches fine
TECHNOLOGY
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Automation Strengthens Economy, Reduces Harm, Boosts Competitiveness
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Join @StanfordMed
, @StanfordHAI
, and Stanford Data Science for the 2026 RAISE Health Symposium, returning as part of @Stanford Health AI Week. This year’s program will feature conversations with leading voices shaping the field of AI in health. Register: https://
med.stanford.edu/raisehealth/ev
ents/healthaiweek/2026symposium.html
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Scalable MoE Training Efficiency with Megatron Core
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“Scalable Training of Mixture-of-Experts Models with Megatron Core” This NVIDIA MoE report walks through the hard part of MoE training. The key is not to add more parameters, but keeping sparse models efficient when only a small part of the model runs for each token. For
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New Features in Agent 4 Announced
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A first look at everything new in Agent 4 https://t.co/vtdSDWJpmZ
— Replit ⠕ (@Replit) 12 mars 2026A first look at everything new in Agent 4
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One-Shot iOS App Development: From Months to Minutes
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I remember coding my first very basic iOS app in months haha. The fact that this is one-shot now is insane.
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Steve Jobs’ Vision and Early Apple Struggles with Personal Computers
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Last month, @StanfordHAI leaders @SuryaGanguli and @drfeifei shaped critical conversations through keynotes and panels at the India AI Impact Summit 2026. This global presence further underscores our mission in bridging AI innovation and governance across global contexts.
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India launches AI sovereignty with 38,000 GPUs infrastructure
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This is what sovereignty looks like. Not just a word in a speech. 38,000 GPUs. 12 foundational model teams. 10000+ datasets. India's AI era has started. And YOU are in it. #MadeWithIndiaAI (8/8) @AshwiniVaishnaw @jitinprasada @PIB_India @SecretaryMEITY @abhish18 @kavitabha
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India Launches National Compute Pool with Seven Cloud Providers
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In 18 months, seven empanelled cloud providers. @NVIDIA H100s, @AMD MI300s, @Google Trillium TPUs. Distributed across tier-3 data centres. All under one national compute pool. (3/8) @AshwiniVaishnaw @jitinprasada @PIB_India @SecretaryMEITY @abhish18 @kavitabha @GoI_MeitY
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Balancing specialization with experimentation in tool adoption strategy
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Totally agree! Specializing definitely pays out. But there’s still a point where you need to keep some kind of experiment vs. Exploitation ratio for new tools, else we’d still be stuck with what we were using years ago. But that’s my usual take to wait a few months and see
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Technological Inversion: Military to Civil and Back with AI
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Until roughly the 1970s, most civilian technological progress was downstream of military technological progress. The trend has since inverted. Today most of the modern (e.g. Ukraine) military playbook comes from consumer tech from the past two decades. With AI entering the