To be more precise: Niantic sold itself to Scopely and spun the spatial platform out as Niantic Spatial Inc. — with a technology licensing agreement where opt-in user scans flow back to Niantic Spatial. If you're curious about how VPS works, watch this:
TECHNOLOGY
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Restrictions Drive Innovation: Tech’s Recurring Pattern
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Every time there's a restriction, there's an innovation to work around it. That pattern keeps repeating in tech. Starting to think we need restrictions so that we are forced to find ways arround and innovate vs. exploiting what works haha
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IT/OT Convergence Bridges Legacy and Modern Infrastructure Gap
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Digital transformation is frequently stalled by friction between legacy infrastructure and modern requirements. #Sponsored by InfluxData.
— Lucian Fogoros (@fogoros) 16 mars 2026
Join the InfluxData's team at IT/OT Summit to find out more about IT/OT convergence. Details about the event, in this link:… pic.twitter.com/rsvmYQR4OyDigital transformation is frequently stalled by friction between legacy infrastructure and modern requirements. #Sponsored by InfluxData. Join the InfluxData's team at IT/OT Summit to find out more about IT/OT convergence. Details about the event, in this link:
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NVIDIA GTC 2026: Jensen Huang Keynote with Industry Leaders
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We’re going live at #NVIDIAGTC in 30 minutes. ⏱️
— NVIDIA (@nvidia) 16 mars 2026
Join us for GTC Live at 8 a.m. PT as we get ready for Jensen Huang's keynote 11 a.m.
Featuring industry leaders from: @bfl_ml, @Cadence, @CaterpillarInc, @cohere, @CoreWeave, @DellTech, @EdisonSci, @FireworksAI_HQ, @IBM,… pic.twitter.com/XM5FfFoTnpWe’re going live at #NVIDIAGTC in 30 minutes. Join us for GTC Live at 8 a.m. PT as we get ready for Jensen Huang's keynote 11 a.m. Featuring industry leaders from: @bfl_ml
, @Cadence
, @CaterpillarInc
, @cohere
, @CoreWeave
, @DellTech
, @EdisonSci
, @FireworksAI_HQ
, @IBM
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Architectural Innovation Over Compute Scale in AI Development
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The fact that throwing more compute at it isn't enough anymore is the real signal here. We might be entering a phase where architectural innovation matters more than scale again! At least, I certainly hope so…
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Build Your Own 1 to 16-GPU AI Machine Guide
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I recommend you read my Buy a GPU thread below You’ll be able to build anything from 1 GPU to 16-GPU AI machines on your own using this
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AI Adoption Strains Energy Infrastructure: Preparing for Future Demand
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#READ | As AI adoption accelerates, one critical question emerges: Is our energy infrastructure ready for the AI era? At the pre-summit session “AI and Electric Energy: Complementing for a Sustainable and Resilient Future”, held ahead of the India AI Impact Summit 2026 and
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AI Sovereignty and Energy: Understanding Policy Implications
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And Rubin is delivering! I honestly think the problem is that the vast majority of policy makers dont understand that AI, sovereignty and energy are linked at most macro level. Let alone tokens-per-watt and industrial electricity prices.
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AI Automation Dramatically Reduces Data Entry Time and Costs
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RÉSULTAT ATTENDU Avant ce prompt : 15-20h de saisie manuelle
Risques d'erreurs humaines
Ennui mortel
Coût comptable : 500-1500€ Après ce prompt : 20 minutes de traitement
90% du travail automatisé
Données structurées prêtes
Coût : 0€ (ou coût Claude API minimal) Économie : -
GPU Buying Recommendations: RTX PRO 6000, 5090, and Used 3090
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If you’re asking what to buy, my recommendation based on the budget: 1. RTX PRO 6000
2. RTX 5090
3. RTX 3090 (used, from r/HardwareSwap)