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Ashish Bansal

@ash-bans.bsky.social
52 followers 76 following 54 posts

Founder & CEO @StarSparkAI.bsky.social - AI Math tutors for the world Applied ML (RecSys, NLP) Ex Google/Amazon/Twitch/Twitter @ash_bans on the other thing

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Reposted by Ashish Bansal
Ralph Pantozzi @mathillustrated.bsky.social · 07/07/2025
“This paper suggests that the gender inequalities in children’s maths performance aren’t innate or inevitable,” says psychologist Jillian Lauer at the University of Cambridge, UK #iTeachMath www.nature.com/articles/d41...
nature.com
When do girls fall behind in maths? Gigantic study pinpoints the moment
Analysis of almost three million children captures when ‘mathematical gender gap’ first emerges and could help focus efforts to stop girls from falling behind.
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Reposted by Ashish Bansal
Saganism @sagan.bsky.social · 30/04/2025
This is from The Tonight Show with Johnny Carson aired on May 20th, 1977. Carl Sagan says something very important, a strong message that didn't lose any validity since then.
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Reposted by Ashish Bansal
Weinan Sun @sunw37.bsky.social · 12/02/2025
1/12 How do animals build an internal map? In our new paper, we tracked thousands of mouse CA1 neurons over days/weeks as they learned a VR navigation task. @nspruston.bsky.social & co-1st author @johanwinn.bsky.social Video: www.youtube.com/watch?v=yw_4... Paper: www.nature.com/articles/s41...
youtube.com
Learning produces an orthogonalized state machine in the hippocampus
YouTube video by Weinan Sun
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Reposted by Ashish Bansal
Melanie Mitchell @melaniemitchell.bsky.social · 30/01/2025
Very good (technical) explainer answering "How has DeepSeek improved the Transformer architecture?". Aimed at readers already familiar with Transformers. epoch.ai/gradient-upd...
epoch.ai
How has DeepSeek improved the Transformer architecture?
This Gradient Updates issue goes over the major changes that went into DeepSeek’s most recent model.
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Reposted by Ashish Bansal
Jay Alammar @jayalammar.bsky.social · 13/01/2025
SWE-Bench has been one of the most important tasks measuring the progress of agents tackling software engineering in 2024. I caught up with two of its creators, @ofirpress.bsky.social and Carlos E. Jimenez to share their ideas on the state of LLM-backed agents. www.youtube.com/watch?v=bivZ...
youtube.com
SWE-Bench authors reflect on the state of LLM agents at Neurips 2024
YouTube video by Jay Alammar
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Reposted by Ashish Bansal
Sebastian Raschka (rasbt) @rasbt.bsky.social · 01/01/2025
Happy New Year! To kick off the year, I've finally been able to format and upload the draft of my AI Research Highlights of 2024 article. It covers a variety of topics, from mixture-of-experts models to new LLM scaling laws for precision:
magazine.sebastianraschka.com
Noteworthy AI Research Papers of 2024 (Part One)
Six influential AI papers from January to June
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Ashish Bansal @ash-bans.bsky.social · 24/12/2024
This could be one way to manage hallucinations
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Reposted by Ashish Bansal
Glen Berseth @glenberseth.bsky.social · 23/12/2024
#NeurIPS2024 wrapped up last week. I put together a curated reading list for #DeepRL and #reinforcementlearning work. (represents my interests). Talks and workshops: third-crowd-c77.notion.site/NeurIPS2024-... Curated reading list fracturedplane.notion.site/NeurIPS2024-... #Holidayreading
fracturedplane.notion.site
NeurIPS2024 Related RL papers | Notion
Deep RL papers
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Ashish Bansal @ash-bans.bsky.social · 23/12/2024
Fantastic read on OpenAI o3’s ARC benchmark results
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Ashish Bansal @ash-bans.bsky.social · 22/12/2024
Something to think about given the performance in context of ARC prize
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Ashish Bansal @ash-bans.bsky.social · 22/12/2024
Nice list of papers! (Get Well Soon @sebastianraschka.com )
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