What makes AI in healthcare truly responsible? It starts with data. At the Discovery Workshop on Responsible AI in Health (April 16–17, 2026), experts will explore how high-quality datasets can drive better health outcomes. Co-organised with IndiaAI and HealthAI, the workshop
RESEARCH
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ICMR-NIRDH Launches Health Data on AIKosh Platform
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Powering the future of healthcare with AI starts with the right data. ICMR-NIRDH has now made available on AIKosh, strengthening India’s open digital ecosystem for health AI innovation. For more, click on https://
aikosh.indiaai.gov.in/home/datasets/
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… #AIKosh #HealthData #AIforHealth #IndiaAI -
Revolutionary GPT Model Transforms AI Image Generation Capabilities
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Holy shxt… The rules of AI image generation just completely changed. A GPT-based model currently testing in the arena under the bizarre name 'duct-tape' is turning the global AI community upside down. What exactly did they feed this thing? → Native-level text generation
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AI Tools Generating Novel and Useful Mathematics
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OK, this is super important and super interesting. This validation from someone who’s highly experienced and skilled in advanced mathematics is extremely convincing to me. It seems that these AI tools are *really* coming up with new and useful mathematics. It’s not just
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Superintelligence Podcast Launches Across Major Platforms
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Superintelligence now also available as a podcast Available on all major platforms – Spotify, Apple Podcasts, YouTube, and everywhere you listen. We are bringing you in-depth conversations with the people shaping the AI industry. No hype, no fluff. Just real, unfiltered
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India’s Responsible AI Health Governance Workshop Brings Leaders Together
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The Discovery Workshop on Responsible AI in Health will bring together leaders from government, healthcare, academia and industry to shape India’s AI governance journey. Co-organised by ICMR-NIRDH, IndiaAI and HealthAI, the workshop aims at holding meaningful dialogue on
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Scientific Publishing Data Governance and Privacy in Focus
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Trust in scientific publishing depends on how user data is handled. A series of workshops between DEAL and Elsevier created space for a structured, outcome-focused discussion on data use, governance, and privacy in scientific publishing.
— Catherine Adenle (@CatherineAdenle) 15 avril 2026
Read more: https://t.co/asqG62gmql#data… pic.twitter.com/pP2VIPA6nLTrust in scientific publishing depends on how user data is handled. A series of workshops between DEAL and Elsevier created space for a structured, outcome-focused discussion on data use, governance, and privacy in scientific publishing.
Read more: http://
spkl.io/6041A27xD #data -
ARC-AGI-3 Most Accessible AI Benchmark for General Population
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ARC-AGI-3 has the lowest human bar of any AI benchmark out there. Almost all benchmarks require specialized knowledge that make them inaccessible to 99%+ of humans (like, say SWE-Bench). ARC-AGI-3 is feasible by regular people.
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Smart Humans Should Score Over 90% on ARC-AGI-3
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Any smart human giving it real effort should score >90% on ARC-AGI-3
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1.3 Billion People With Fatty Liver Disease By 2050
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1.3 Billion Globally Have Fatty Liver Disease; Numbers To Reach 2 Billion By 2050: Lancet Study https://
ndtv.com/health/1-3-bil
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… #research #fattyliver #disease #health