Early days, nobody wants to over-invest in side-quests and non-standardized concepts that might end up being swallowed by the models themselves. The focus is now on building a strong foundation rather than anything else.
MACHINE LEARNING
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Best Platforms for AI Agents
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Best Platforms for #AIAgents
by @Python_Dv #AI #LLM #ArtificialIntelligence #MachineLearning #ML -
3D Gaussian Splat of Maritime Plaza San Francisco
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captured this 3d gaussian splat of the maritime plaza in san francisco
— Bilawal Sidhu (@bilawalsidhu) 31 mars 2026
came out pretty damn crispy for a handheld 3d scan!
– 334 stills taken with a sony a7iii + 18mm prime lens
– imagery posed w/ epic's reality scan
– radiance field trained w/ litchfeld studio pic.twitter.com/MQN7RzPslJcaptured this 3d gaussian splat of the maritime plaza in san francisco came out pretty damn crispy for a handheld 3d scan! – 334 stills taken with a sony a7iii + 18mm prime lens – imagery posed w/ epic's reality scan – radiance field trained w/ litchfeld studio
→ View original post on X — @bilawalsidhu, 2026-03-31 01:55 UTC
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CIFAR’s Role in Sustaining Deep Learning Research Development
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It's thanks to groups like CIFAR and its Neural Computation and Adaptive Perception group that DL work was maintained. It's not just a case of loving the work – a *lot* of toil went to getting to this point.
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LeCun’s Commercial Success Despite Academic Neglect
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LeCun's work was hugely commercially successful for decades even whilst being largely ignored academically.
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Geoffrey Hinton’s Strategy: Keeping Deep Learning Alive in Academia
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@geoffreyhinton has talked about how the small group of believers would coordinate strategy; which conferences to target, how to frame results, how to keep the research program alive when the mainstream community considered DL a dead end.
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Neural Net Pioneers’ Fight for Recognition and Credit
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They "don't spend time worrying about this kind of credit" because, nowadays, they don't need to. There was a time things were v different, and neural net pioneers had to really fight to get any appreciation.
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Aethero’s Phobos satellite launches with adaptive event detection
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Proud to announce that Phobos, the second @AetheroSpace satellite, was successfully launched to orbit earlier this morning
— Edward (@somefoundersalt) 31 mars 2026
We’re partnered with @BoozAllen on this mission to demonstrate capabilities for adaptive event detection using high-fidelity Earth observation data… pic.twitter.com/KIoiyUFuYxProud to announce that Phobos, the second @AetheroSpace satellite, was successfully launched to orbit earlier this morning We’re partnered with @BoozAllen on this mission to demonstrate capabilities for adaptive event detection using high-fidelity Earth observation data collected on orbit This will enable satellites to achieve faster, smarter, decision-making on orbit, and is a major step towards building the orbital intelligence layer for defense needs!
→ View original post on X — @bobgourley, 2026-03-31 01:19 UTC
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New Tools for Understanding AI and Learning Outcomes
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New tools for understanding AI and learning outcomes buff.ly/xA3IUgB #AI #MachineLearning #DeepLearning #LLMs #DataScience
→ View original post on X — @miketamir, 2026-03-31 00:58 UTC
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Structured AI reasoning over raw scale
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The takeaway for builders:
The future of reliable AI isn’t just bigger parameters. It’s giving models structured, verifiable environments to reason in. Typed control flow > open-ended code generation. Paper: http://
arxiv.org/abs/2603.20105
Code: http://
github.com/lambda-calculu
s-LLM/lambda-RLM
…