Ed Henry
edhenry.bsky.social
Ed Henry
@edhenry.bsky.social
Distinguished Scientist and Engineer @DellTech

Things I like : Mathematics, Machine Learning, Causality, Networks, and Philosophy.
To be clear, I believe the interesting areas of modularity that warrant investigation are world modeling, reasoning, planning, and memory, generally. Bring back fuzzy memory modules! [6]

[6] arxiv.org/abs/1410.5401
April 14, 2025 at 5:12 AM
Ugh, sorry for the gross LinkedIn links on that cross post. I'll do better next time. 🫠
April 14, 2025 at 5:05 AM
Full disclosure, I'm a bit biased as I've developed a similar proprietary set of protocols recently. Kudos to the communities for recognizing the need for standardization for further scaling!

[1] lnkd.in/eUqVV5SQ
[2] lnkd.in/gf6e6XH6
[3] lnkd.in/gx4EbSFR
[4] lnkd.in/g_42revZ
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April 14, 2025 at 5:00 AM
My intuition is that standardization of message passing protocols, like MCP[3] and A2A[4], will further enable both research and engineering for these kinds of approaches.
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April 14, 2025 at 5:00 AM
One of the reasons I'm happy to see a disaggregation effect in the departure from "one massive model to rule them all" is the modularity and, frankly, accessibility brought forward for those without so much compute available. I hope to see more socratic [2] type approaches in the coming years!
LinkedIn
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April 14, 2025 at 5:00 AM
Reposted by Ed Henry
Just FYI: I wrote about this and other issues involving AI benchmarks in this piece for Science: www.science.org/doi/10.1126/...
How do we know how smart AI systems are?
In 1967, Marvin Minksy, a founder of the field of artificial intelligence (AI), made a bold prediction: “Within a generation…the problem of creating ‘artificial intelligence’ will be substantially sol...
www.science.org
March 5, 2025 at 8:29 PM