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Kush R. Varshney

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Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

timkellogg.me
Granite-4.0-H-Small: a 32B-A9B MoE Mamba for high efficency

Damn! IBM is on the map. The American Qwen? I barely even knew IBM made LLMs, this is solid

www.ibm.com/new/announce...
The bar chart is titled **“Retrieval Augmented Generation (RAG)”** and shows **MTRAG mean accuracy** on the y-axis (0–80 scale). ### Results by model: * **Granite-4.0-H-Small**: **73** (blue bar, highest) * **Granite-4.0-Micro**: **72** (blue bar, nearly tied with H-Small) * **GPT-OSS-20B**: **68** (green bar) * **Mistral-Small-3.2-Instruct**: **48** (green bar, lowest score) * **Llama-3.2-Instruct**: **53** (green bar) * **Llama-3.3-70B-Instruct**: **61** (green bar) * **Qwen3-8B**: **55** (green bar) ### Key takeaway: The **Granite-4.0 models (H-Small and Micro)** outperform all others, achieving ~73 accuracy, with GPT-OSS-20B in third at 68. The weakest performance is from **Mistral-Small-3.2-Instruct (48)**.
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Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

mcwm.bsky.social
Recently got to have a super interesting conversation with the infinitely fascinating @krvarshney.bsky.social about why we need to make AI safe, and the very nature of ethics in a disaggregated digital world. Have a watch !
www.youtube.com/watch?v=g2A7...
Why do AI models need to be safe?
YouTube video by IBM Research
m.youtube.com
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Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

by Kush R. Varshney

by Kush R. Varshney

krvarshney.bsky.social
Check out IBM's latest open source tools for trustworthy AI on GitHub:

In-Context Explainability 360

FactReasoner

Contextual Privacy

Links from here: research.ibm.com/blog/debuggi...
Debugging LLMs to improve their credibility
New tools from IBM Research can help LLM users check AI-generated content for accuracy and relevance and defend against jailbreak attacks.
research.ibm.com

by Kush R. Varshney

krvarshney.bsky.social
"In my own interactions with ChatGPT, it has often responded, with patently insincere flattery: “That’s a great question.” It has never responded: “That’s the wrong question.” It has never challenged my moral convictions or asked me to justify myself."
www.nytimes.com/2025/08/02/o...
Opinion | A.I. Is Shedding Enlightenment Values
www.nytimes.com
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by Kush R. Varshney

krvarshney.bsky.social
"Until we recognise that the debate about AI is not just about what machines can do but also about how humans should value education and knowledge, it will remain mired in confusion." observer.co.uk/news/opinion...
AI thrives where education has been devalued | The Observer
A culture that views knowledge as a means to an end invites the misuse of new technology
observer.co.uk

by Kush R. Varshney

krvarshney.bsky.social
"The true measure of progress in AI lies not in the sophistication of algorithms but in whether it genuinely serve the people and communities they seek to empower. Without grounding in human dignity and local contexts, AI risks creating technological subjugation."
www.brookings.edu/articles/ai-...
AI is not Africa’s savior: Avoiding technosolutionism in digital development | Brookings
Chinasa T. Okolo discusses how Africa can ensure AI progress serves the contitnent's broader goals of social and economic empowerment.
www.brookings.edu
2

Reposted by Kush R. Varshney

alondra.bsky.social
Joining @baratunde.com on his Life with Machines podcast show was a 2024 highlight.

Speaking both before and after the US presidential election, we talked about technology, democracy, and the AI Bill of Rights. And I advance a #StephCurry theory of AI innovation.🏀
www.youtube.com/watch?v=Tjxy...
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Reposted by Kush R. Varshney

mcwm.bsky.social
What do authorship, copyright, and creativity mean in the age of AI? @krvarshney.bsky.social talks to us about it:
research.ibm.com/blog/kush-va...
How IBM’s Kush Varshney became an iconic ’test’ photo
The IBM Fellow reflects on copyright law, generative AI, and how he became the face of the modern camera man
research.ibm.com
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by Kush R. Varshney

krvarshney.bsky.social
"Training yourself to observe and challenge these automatic thoughts—what psychologists call metacognition—is strikingly similar to the Buddhist concept of yoniso manasikāra, or wise attention." www.forbes.com/councils/for...
Selective Thinking Is The Skill Every Leader Needs
When you observe your mind without being swept away, you take back control from unconscious, emotional thinking—the kind that fuels rash decisions and poor leadership.
www.forbes.com

by Kush R. Varshney

krvarshney.bsky.social
"The next decade will be shaped by innovators using AI to solve real problems in real communities. The future won’t be written in Silicon Valley, but in Lagos, Jakarta, Cairo and Dubai. AI-powered solutions fused with local knowledge will unlock this future." www.weforum.org/stories/2025...
AI: Rewriting the future of finance and financial inclusion
A new AI-driven framework that is grounded in the distinct needs of the underserved is creating a blueprint for the future of finance around the world.
www.weforum.org
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Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

Reposted by Kush R. Varshney

arxiv-cs-cl.bsky.social
Weike Zhao, Chaoyi Wu, Yanjie Fan, Xiaoman Zhang, Pengcheng Qiu, Yuze Sun, Xiao Zhou, Yanfeng Wang, Ya Zhang, Yongguo Yu, Kun Sun, Weidi Xie
An Agentic System for Rare Disease Diagnosis with Traceable Reasoning
https://arxiv.org/abs/2506.20430
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by Andrew Y. Ng — Reposted by Kush R. Varshney

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