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neuro-timone.bsky.social
What if the brain learned from error predictions rather than prediction errors? New perspective piece by Nicolas Meirhaeghe @nmrghe.bsky.social from Institut des Neurosciences de Timone in #JNeurosci.
🔗 doi.org/10.1523/JNEU...
#Neuroscience #InternalModels #Learning #MotorPlanning #PredictionErrors
Learning from Error Predictions Rather Than Prediction Errors: A Perspective on Self-Supervised Learning in the Brain
Humans learn by doing and observing but also by imagining the result of simulated actions in their mind. When learning from executed or observed actions, traditional theories posit that behavior impro...
doi.org
October 29, 2026 at 9:30 AM
gt-neuro.bsky.social
Predicting the future is key to our survival, and updating our predictions is how we learn.

Najafi studies how different areas of the brain perform this predictive processing and how those areas interact. Can AI help us undercover the answers? #GTFrontiers #InternalModels #Neuroscience
April 3, 2025 at 3:45 PM
wellfunded.bsky.social
Microsoft Reduces Third-Party AI Spend by Leaning Into Its Own Models

Microsoft is reducing spending on third-party AI models by relying on its own models.

#AI #Microsoft #CostOptimization #InternalModels

https://wellfunded.news/articles/microsoft-reduces-third-party-ai-spend-own-models
Microsoft Reduces Third-Party AI Spend by Leaning Into Its Own Models
Microsoft is following a growing Silicon Valley trend of cutting AI costs by replacing third-party model usage with its own in-house alternatives. The shift signals increasing confidence in Microsoft's internal AI capabilities — and a tighter grip on the economics of AI deployment at scale.
wellfunded.news
July 8, 2026 at 6:30 AM