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@rryssf Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@fly51fly Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@itnavi2022 Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@gorgeouspart Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@tigfoundation Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@rryssf Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@chuanbuilds Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@fefutech Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@DEccrm Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@RoyPapa5 Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@nealpirate_ Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@agtprpnabsrdty Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@compassinai Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
Yesterday Mistral uploaded the private checkpoint of le chaton fat to @huggingface and it broke our S3 bill https://t.co/BcFxguy0Sh
Proof Chinese captured the AI market a year ago: https://t.co/kqACQtOKBw
@SeanYoung1995 Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@huihoo Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@rohanpaul_ai Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@BetaTomorrow Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@HowToPrompt__ Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@scychan_brains Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@tigfoundation Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
@askalphaxiv Humanising AI has been normalised in research. What it means to you? https://t.co/KtlnmMm13E
π¨ DeepMind AGI/ASI paper: a Field Lost in Hype and Metaphors Solid scaling. Useful pathways. Overdue bottlenecks. But it keeps treating AI like a subject with a mind. Itβs not. Why serious researchers treat massive compressed files running matrix multiplication as social βagen
GIGANTIC Hermes Agent upgrade: The delegate tool no longer has to block your chat. Subagents can now run asynchronously in the background, which means Hermes can fan out work while you keep moving in the main thread. π« No waiting room. π« No dead air. π« No βhold pleaseβ energy. Run 'hermes update' Full details: π https://t.co/oMjQ3Obliz
hermes desktop app has a terminal have i been living under a rock? https://t.co/4IL6QbLd3c
hermes desktop app has a terminal have i been living under a rock? https://t.co/4IL6QbLd3c
@Mahmoudovich_ https://t.co/wxtZeLHb25
@mubarak_marafa No that's for the Kanban only rn
Gavin Newsom said today that Trump has directed the DOJ at him and his wife. Federal agents are knocking on the doors of old friends and former staff, a grand jury is running, and years of documents are being pulled apart on the theory that something incriminating must be in there somewhere. Investigations are supposed to start with a crime, then go looking for the man. This is that run backwards: they have the man and are hunting for a crime to fit him. And he is not the first name on the list. James, Schiff, Cook, Powell all got the same treatment, and the cases keep collapsing in court because they were built backwards. America spent eighty years lecturing other countries about exactly this. The lecture is over.
@NousResearch @stripe The Hermes user dilemna @Teknium https://t.co/HdKxNztK7s
Learning Sparse Latent Predictive Foundation Model for Multimodal Neuroimaging This paper introduces Neuro-JEPA, a foundation model that combines a latent predictive objective with a Mixture-of-Experts architecture to encode brain MRI across core T1w, T2w, and fluid-suppressed FLAIR imaging (FLAIR). Neuro-JEPA was pretrained on 1,551,862 scans from 428,647 studies after modality-specific preprocessing with data curation across three core structural brain MRI sequences.
AI systems out-persuade expert humans "We found that AI systems were reliably more persuasive than expert humans, even when expert humans chose their issues, researched in advance, underwent hours of live, structured practice, and were incentivized with Β£1,000 cash bonuses." "AI was nearly 3x more effective than professional canvassers from a UK fundraising firm at raising real-money donations to Save the Children."
Made in London with AWS: Hirsh Pithadia, CEO & Co-founder, @ValyuOfficial. Valyu is building a search and retrieval solution for AI and itβs chosen London to do so. Pithadia discusses how the cityβs close-knit startup community, research and engineering talent, and support from AWS Activate has helped Valyuβs team launch and grow the company.