I don't think people understand synthetic data. Sure, some people get it that with human-generated data and imitative models you're only asymptotically approaching the human level.

And natural data is not necessarily the best data to train AIs with, as far as you consider the density and fidelity of knowledge and task related skills being presented.

What if you train your model with natural data, and it still makes errors when deployed? What lever do you pull? Collect more natural data and hope for the best? There has never been a satisfying and a scalable answer to this.

What if you add a small indirection, and use synthetic data instead? You have instructions or conditioning data you use to produce your synthetic training corpuses. You can very trivially incorporate these error cases into your synthetic data generator!

You then actually have the levers you need to make the errors disappear, without having to hit your head against an immovable object, real data, repeatedly.

This, in addition to the fact that you can produce your synthetic data generation instructions from real data, but sidestep the whole personally identifiable data issue as you'd only extract the meaningful knowledge in an enriched form from the real data instead of blindly doing the censor work of a last century East German bureaucrat to massive volumes of irrelevant data.

Make your AIs write textbooks on the tasks you want them to master. Make them synthesize training data based on these textbooks. You can then handle the errors better and you don't need to worry about leaking personal data. After all, that is how humans master skills as well.

#DeepLearning #AI #SyntheticData

🧬 Is synthetic data a regulatory loophole or a compliance tool in medicine?

🔗 Synthetic data in medicine: Legal and ethical considerations for patient profiling. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.05.026

📚 CSBJ Smart Hospital: https://www.csbj.org/smarthospital

#SyntheticData #HealthTech #GDPR #AIethics #DigitalHealth #PatientProfiling #DataPrivacy #AIAct #MDR #AIinMedicine #EthicalAI #HealthcareInnovation #HealthTech

💥 60% of today’s AI is trained on data that never happened.
From drug discovery to fraud detection, synthetic data is quietly powering the biggest breakthroughs in machine learning.

Discover how this $4.6B shift is transforming everything from healthcare to autonomous cars.

🚀 Read the full story now ⬇️
https://medium.com/@rogt.x1997/why-fake-data-now-trains-the-smartest-ai-inside-the-4-6b-synthetic-intelligence-boom-57fc0752f788

#SyntheticData #AI #MachineLearning #TechTrends
https://medium.com/@rogt.x1997/why-fake-data-now-trains-the-smartest-ai-inside-the-4-6b-synthetic-intelligence-boom-57fc0752f788

Good Apples and Bad Apples – DTNSB 5028

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Show Notes

• Digital Trends – Apple Acquires RAC7, Maker of Sneaky Sasquatch
• Bloomberg – Apple to Debut Gaming App Near Switch 2 Launch
• 9to5Mac – Apple Faces 30-Day DMA Deadline
• EU Commission – DMA Case Document (PDF)
• MacRumors – Apple Launches iPad Self-Service Repair
• 9to5Mac – iPhone 16 Becomes World’s Best-Selling Smartphone
• Wikipedia – List of Best-Selling Mobile Phones
• TechCrunch – Anthropic Launches Voice Mode for Claude
• Engadget – Web Search Comes to Free Claude Users
• The Verge – Microsoft’s Unified App Update Platform
• PCMag – Microsoft to Centralize App Updates
• TechCrunch – Opera’s AI Browser Codes for You
• Bloomberg – Texas Passes Online Child Safety Bill
• Yahoo Finance – Shein Eyes Hong Kong IPO
• Semafor – Temu & Shein Reshape African E-commerce
• TechCrunch – xAI to Invest in Telegram, Integrate Grok
• Bloomberg – BCE to Build AI Data Center Network
• The Register – Opinion: AI Model Collapse Looming?
• Reddit – r/DailyTechNewsShow
• DTNS – Support DTNS on Patreon

#AfricanECommerce #agenticBrowser #AIAudiobookNarration #AIDataCenters #AIModelCollapse #Anthropic #antitrust #AppStore #appUpdates #Apple #Audible #BCE #BellCanada #chatbotIntegration #Claude #CounterpointResearch #DigitalMarketsAct #DMA #EUCommission #GameCenter #generativeAI #Grok #Groq #Instapaper #iPad #iPhone16 #IPO #Jumia #Microsoft #onlineSafetyLaw #Opera #OperaNeon #parentalControls #PocketAlternative #RAC7 #selfServiceRepair #Shein #smartphoneSales #SneakySasquatch #syntheticData #Telegram #Temu #Texas #videoGames #voiceMode #webSearch #WindowsUpdate #xAI

👀 I just stumbled upon this old post where I create a tiny (the smallest I could think of) Generative Adversarial Network in #rstats #torch to understand how it works, especially in the context of #SyntheticData

The GAN learns to generate data from a Normal(1, 3) distribution from scratch

https://erikjanvankesteren.nl/blog/tiny_gan

Synthetic Data là gì? A-Z về dữ liệu tổng hợp trong học máy

Dữ liệu là “nhiên liệu” không thể thiếu của AI và học máy. Tuy nhiên, việc sử dụng dữ liệu thực tiềm ẩn nhiều rủi ro về quyền riêng tư. Đây chính là lúc dữ liệu tổng hợp (Synthetic Data) phát huy vai trò. Hãy cùng khám phá Synthetic Data là gì, vì sao nó quan trọng và cách nó được ứng dụng trong thực tế.

Đọc ngay: https://interdata.vn/blog/synthetic-data-la-gi/

#interdata #syntheticdata