This could either result in the beginning of a new industrial era or lots of lawsuits 2 years down the line depending upon safety and consistency of real world performance and real environment interactions
@deeplearn007
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AI revolutionizes healthcare sector under strain
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AI set to revolutionize the under strain healthcare sector. https://t.co/wXmFJQo8Ay
— AI (@DeepLearn007) 13 avril 2026AI set to revolutionize the under strain healthcare sector.
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Neuromorphic Hardware and Neurosymbolic Systems as AGI Pathways
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If such living, self‑organizing nervous systems are integrated with neuromorphic spiking hardware and neurosymbolic cognitive architectures, they form a plausible long‑term pathway toward AGI. Neuromorphic platforms (Loihi, TrueNorth, SpiNNaker, BrainScaleS, etc.) aim for
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Neuromorphic Chips and Neurosymbolic AI Path to AGI
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A real potential pathway towards AGI. Expect this with further adjustments- neuromorphic chips and neurosymbolic AI to make a material impact in the 2030s.
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Advanced Autonomous Agents Interacting With Physical World Mid-2030s
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I see this as a route for advanced autonomous agentic AI (neurosymbolic & neuromorphic) to experience and interact with the physical world in the mid 2030s onwards
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Human intelligence versus AI capability debate continues
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And some say all humans are way smarter than the most capable AI pic.twitter.com/2T21G3VtdR
— AI (@DeepLearn007) 12 avril 2026And some say all humans are way smarter than the most capable AI
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ASI-Evolve: AI System Achieving Self-Improving Automated Research
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wow, insane AI news We may have just crossed the line where AI research becomes automated and self improving. This paper introduces ASI-Evolve, a system where AI doesn’t just use tools… it becomes the researcher. Instead of humans designing better models, AI now runs a full scientific loop on itself: learns from past research designs new ideas runs experiments analyzes results improves itself… again and again It already produced real results: Discovered 100+ new neural architectures Beat human designed improvements by ~3x Improved training data pipelines significantly Invented new RL algorithms outperforming existing ones AI/acc
→ View original post on X — @deeplearn007, 2026-04-06 16:25 UTC
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ThinkAct: Robots Learn to Reason Before Acting
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This is different. Robots just took a step toward actually thinking before they move. Researchers from china introduced a new architecture called ThinkAct. Instead of directly turning vision into action, the system generates explicit reasoning traces first then converts them into motor commands. So basically, this novel architecture that enables robots to observe and reason before they act. What makes this powerful is the separation between thinking and doing. The model plans tasks step-by-step encodes that plan into a latent representation and uses it to guide real-world execution. In testing, ThinkAct achieved state of the art performance on long horizon manipulation tasks, outperforming existing vision language action models. Soon, in near term future, we will see Robots doing all the stuffs that we do!
→ View original post on X — @deeplearn007, 2026-04-06 12:13 UTC
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AI and Biology: Towards Controlling Human Aging
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It also required massive-scale AI infrastructure from @NVIDIA This pre-print is a sign that the future of aging research will be guided by the intersection of biology and machine intelligence Soon, we won't just measure aging, we'll control it [Translated from EN to English]
→ View original post on X — @deeplearn007, 2026-04-06 06:44 UTC