Open Source AI Will Win the Enterprise Spend
🎯 Frontier AI pricing is a treadmill. The best closed model holds its lead for a few months, then someone matches it or gives it away. That is a rough foundation for an $800B IPO valuation.
https://t.co/mRipXbIB7N
Enterprise AI adoption is slower than the hype suggests. Security, privacy & data readiness are still the real blockers. 🎙️ New podcast with @denise_teng25@GradientVC
https://t.co/DlvH4DxyQ8
🎗️ Why the AI Duopoly is Coming to an End
🎯 The premium model is becoming a planner, not a workhorse. Route hard reasoning to a frontier model and push execution to a cheaper one. If you aren't doing this, your competitors are.
🔗 https://t.co/mRipXbIB7N
🎗️ The Erosion of Proprietary AI Pricing Power
🎯 Open-weights AI models are improving fast. As costs fall and performance rises, more organizations will shift spending toward open models while keeping frontier systems for the hardest tasks.
🔗 https://t.co/mRipXbIB7N
🆕 Why Open Source AI Will Win the Enterprise Spend
🎯 Frontier AI pricing is a treadmill. The best closed model holds its lead for a few months, then someone matches it or gives it away. That is a rough foundation for an $800B IPO valuation.
🔗 https://t.co/mRipXbIB7N
Zero-Shot Forecasting at Scale: @atalwalkaron Lessons from @datadoghq's Toto
🔎 Scaling works for time series too. Toto V2 grew from 100M to 2.5B parameters—and results kept improving with no sign of saturation
https://t.co/k5AD2KL8UX
Zero-shot time series forecasting is now faster AND cheaper than tuning statistical models on the fly
🔎 @atalwalkar (@datadoghq and @mldcmu) traces the full journey of time series foundation models—from early skepticism to Toto V2 beating every public benchmark
https://t.co/v4zAx2XZva
🎗️ How Reinforcement Learning Is Moving Into Enterprise AI
🎯 More than 25 startups now have RL at the center of what they build. The common thread: frontier models are smart but unreliable for real multi-step work. RL is how teams are fixing that
https://t.co/yga9Hx9OqN
🎗️ How Reinforcement Learning Is Moving Into Enterprise AI
🔎 RL has quietly moved from AI research labs into the core product of more than 25 startups. Here's what that looks like in practice and why it matters for anyone building with AI agents.
https://t.co/HVd4uAZbNg