#nominalism - Twitter Hashtag

11 months ago

♡ Alethes Sophia livestreams about her metaphysics, the god-belief, and epistemic knowledge. #philosophy #epistemology #god #theism #atheism #metaphysics #physicalism #nominalism Watch on #AlethesSophia #Youtube : https://t.co/UNowpuRQ2F

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,,, @ElectricMule

about 1 year ago

@ObamaGarak #ConceptualHistory #Nominalism

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Sheriffdeen 🇳🇬 🌙🗣️ @AhmedSheriffdin

over 1 year ago

5/ Nominalism relies on resemblance to group particulars. A hand-like feature in another world must mirror our hands closely enough to belong to the same class, or the class dissolves into incoherence. No resemblance, no membership. 👐 #Philosophy #Nominalism

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Cory Rohlfsen

@CoryRohlfsen

over 1 year ago

End point #diagnosis is an illusion of parochialism. Our traditional, #essentialist labels of nice, neat dz 🦠 categorization(s) will punish novel insights. The #nosology of #nominalism is upon us. Excited to see this tension grow bc novel states opens🚪to novel treatments

Bo Wang

@BoWang87

over 1 year ago

🚀 Our perspective is out in @Nature! We present a roadmap for Multimodal Foundation Models (MFMs) — large AI models pretrained across multi-omics and multi-timepoint data — to serve as the computational backbone for building virtual cells. Read the full paper in Nature: https://t.co/VCWFeNDgUD 🔍 Why MFMs? Biology is inherently multimodal, and molecular layers are deeply interconnected and context-specific. MFMs aims to integrate these layers to uncover shared biological principles that govern diverse cell states, offering a unified substrate for downstream inference. 🧠 What’s new? 💡 From hypothesis-driven to data-centric workflows: MFMs shift biology’s paradigm. Instead of crafting bespoke models for narrow tasks, we can now pretrain over massive datasets, distill foundational knowledge, and refine insights through lab-in-the-loop experimentation—where models guide experiments, and experiments update models. 🧬 Conditional gene regulation: MFMs go beyond static models. By training across multiple omics layers (e.g., chromatin accessibility, transcriptomics), they can learn context-specific gene functions and regulatory programs—key to understanding development and disease. 🧪 In silico perturbation: Biology’s combinatorial complexity is immense—thousands of genes, millions of interactions. MFMs provide a framework to simulate perturbations before wet-lab execution. Trained on CRISPR perturb-seq data, they can predict molecular responses across cell types, tissues, and time—enabling programmable biology at scale. ⚙️ What makes MFMs possible? Envisioned techniques include: - Unified tokenization from nucleotides to pathways - Hybrid attention across intra- and inter-modal interactions - Prompt-driven multitasking for temporal prediction, conditional generation, and modality translation - Human knowledge integration from curated databases and biomedical literature These design principles translate the architecture of foundation models into the molecular domain. ⚠️ What are the challenges? MFMs aren’t just about scale—they demand accessibility, reliability, and transparency. - Low-resource learning techniques (e.g., LoRA, adapters) are vital for democratizing training - Human-agnostic benchmarks are needed, as conventional labels may punish models that uncover novel biology - Uncertainty modeling is essential to mitigate hallucinations and increase scientific trust Interpretability and ethical stewardship must be foundational in this emerging ecosystem. Kudos to all co-authors for the collective effort and vision: @HOATIANCUI1, @Alejandro__TL, @mariabrbic, @JulioSaezRod, @simocristea, @genophoria, @mo_lotfollahi, @fabian_theis. Let’s build the future of virtual cells together.

BoWang87's tweet photo. 🚀 Our perspective is out in @Nature!

We present a roadmap for Multimodal Foundation Models (MFMs) — large AI models pretrained across multi-omics and multi-timepoint data — to serve as the computational backbone for building virtual cells.

Read the full paper in Nature: https://t.co/VCWFeNDgUD
🔍 Why MFMs?
Biology is inherently multimodal, and molecular layers are deeply interconnected and context-specific. MFMs aims to integrate these layers to uncover shared biological principles that govern diverse cell states, offering a unified substrate for downstream inference.
🧠 What’s new?
💡 From hypothesis-driven to data-centric workflows: MFMs shift biology’s paradigm. Instead of crafting bespoke models for narrow tasks, we can now pretrain over massive datasets, distill foundational knowledge, and refine insights through lab-in-the-loop experimentation—where models guide experiments, and experiments update models.
🧬 Conditional gene regulation: MFMs go beyond static models. By training across multiple omics layers (e.g., chromatin accessibility, transcriptomics), they can learn context-specific gene functions and regulatory programs—key to understanding development and disease.
🧪 In silico perturbation: Biology’s combinatorial complexity is immense—thousands of genes, millions of interactions. MFMs provide a framework to simulate perturbations before wet-lab execution. Trained on CRISPR perturb-seq data, they can predict molecular responses across cell types, tissues, and time—enabling programmable biology at scale.
⚙️ What makes MFMs possible?
Envisioned techniques include:
- Unified tokenization from nucleotides to pathways
- Hybrid attention across intra- and inter-modal interactions
- Prompt-driven multitasking for temporal prediction, conditional generation, and modality translation
- Human knowledge integration from curated databases and biomedical literature
These design principles translate the architecture of foundation models into the molecular domain.
⚠️ What are the challenges?
MFMs aren’t just about scale—they demand accessibility, reliability, and transparency.
- Low-resource learning techniques (e.g., LoRA, adapters) are vital for democratizing training
- Human-agnostic benchmarks are needed, as conventional labels may punish models that uncover novel biology
- Uncertainty modeling is essential to mitigate hallucinations and increase scientific trust
Interpretability and ethical stewardship must be foundational in this emerging ecosystem.

Kudos to all co-authors for the collective effort and vision: @HOATIANCUI1, @Alejandro__TL, @mariabrbic, @JulioSaezRod, @simocristea, @genophoria, @mo_lotfollahi, @fabian_theis.

Let’s build the future of virtual cells together.

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Lloyd De Jongh

@LloydDeJongh

over 1 year ago

Men and women are distinct in #Christianity (Gen. 1:27). Atheist "science" claims men can bear children, defying biology. Wokeism targets Christian morals and values, which align with biological facts and basic logic. #Atheism is a rogue, irrational ideology. #Nominalism

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Ááron Sepúlveda-Cué @AaronSepulvedaC

over 1 year ago

He died of #nominalism

Robert Sterling

@RobertMSterling

over 1 year ago

My wife just opened up a time capsule from NYE Y2K. 59 cents for a 2-liter Coke and $93k for a starter home. This is what they took from us.

RobertMSterling's tweet photo. My wife just opened up a time capsule from NYE Y2K.

59 cents for a 2-liter Coke and $93k for a starter home.

This is what they took from us. https://t.co/Qa1Ko3LGg6

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🇮🇷 شب‌نویس(🐜) @SHABNEVIS

about 2 years ago

#گنوتیسیزم یعنی «آگاهی و دانش» به وجود خدا از « اعتقاد » به وجود خدا بالا تر است نقطه مقابل این تفکر #نومینالیسم قرار دارد که معتقد است خدا را باید از طریق وحی و الهام شناخت #genoticism #nominalism

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Real Progressives @RealProgressUS

over 2 years ago

"There is very little doubt that Roman law adopted what is called 'nominalism'—the nominal value of the coin is determined by the authorities, not by the value of embodied metal in the coin (termed 'metalism')." #LearnMMT #Nominalism #Metalism https://t.co/wkyZj466uC

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khalid yousef @khalidsyossef

over 2 years ago

#OpenAccess #Philosophy #Metaphysics #Nominalism #Libertarianism #Individuation #Plato #Existence #Identity #Modality #Presentism #Persistence #Physics #Vagueness The Oxford Handbook of Metaphysics Oxford Univ Pr 2005 PDF⬇️ https://t.co/jsfs5zXjsi ⬇️ https://t.co/TyPBuh2Igr

khalidsyossef's tweet photo. #OpenAccess
#Philosophy #Metaphysics #Nominalism #Libertarianism #Individuation #Plato #Existence #Identity #Modality #Presentism #Persistence #Physics #Vagueness
The Oxford Handbook of Metaphysics
Oxford Univ Pr 2005
PDF⬇️
https://t.co/jsfs5zXjsi
⬇️
https://t.co/TyPBuh2Igr https://t.co/mLVV7vSUd9

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Lloyd De Jongh

@LloydDeJongh

over 2 years ago

Corrosive #Modernism has infected society and made inroads into the church. It infiltrated the Protestant church successfully in the 1800s. Incoherent #nominalism is at root of much of the insanity we see today. We need to know what it is. https://t.co/yTWBR9pKQ1 #philosophymatters #philosophy #IdeasHaveConsequences #catholic #protestant #YouTube #LloydDeJongh #ockham #MartinLuther #Reformation

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☩ Anybody But Charles Finney ☩

@chuck_finney

over 2 years ago

GM #Nominalism

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Suad Nofal @nofal_suad

almost 3 years ago

الطبيعة البشرية ليست أسطورة; الا اذا تعرضت للانقراض في عصر المعلومات. وبالمناسبة, لا يمكن للعالم الخارجي حولنا مواكبة تطور العقل البشري. إلى اليوم. #Crypto #Cruxt #Nominalism #Cybersecurity

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