Qwen 3.5 was shockingly good, even at tiny sizes like the 4B model (which somehow benchmarks similar to GPT-4o across many of the classic benchmarks)… and then much of the core Qwen team quit or were fired (still not clear to me which) straight after releasing it
RESEARCH
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IndiaAI Data Lab Empowers Students at NIELIT Ranchi
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Shri Abhishek Singh, Additional Secretary, MeitY & CEO, IndiaAI Mission, visited the IndiaAI Data Lab at NIELIT Ranchi Centre. During his visit, he engaged with the Centre team to understand the on-ground impact of the lab and how it is enabling students in the region to access
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AI Agents Need World Models and Safety Guardrails to Avoid Danger
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Danger does not come merely from agency, but from agency with no ability to anticipate consequences and with no safety guardrails. The solution? AI agents that can predict the consequences of their actions (world models) and only take actions whose predicted outcomes satisfy
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TactileAloha: Giving Robots the Sense of Touch
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TactileAloha: Empowering #Robots with the Sense of Touch
— Ronald van Loon (@Ronald_vanLoon) 18 mars 2026
by @IntEngineering
#Robotics #ArtificialIntelligence #MachineLearning #EmergingTech #Innovation pic.twitter.com/7zgVBwX9igTactileAloha: Empowering #Robots with the Sense of Touch
by @IntEngineering #Robotics #ArtificialIntelligence #MachineLearning #EmergingTech #Innovation -
Zhejiang University reveals AI agent memory flaw
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BREAKING: Zhejiang University just exposed that every agent forgets everything the moment a task ends. Reinvents the wheel. Charges you again. They built 200,000 skills to fix it. > Every AI agent you've ever run operates in complete isolation. It finishes a task, learns
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Zero-Shot Voice Cloning: Revolutionary Shift in Voice AI Technology
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The biggest shift is zero-shot voice cloning. → No training phase
→ No dataset collection
→ No fine-tuning Just a few seconds of audio and the model replicates tone, cadence, and identity instantly. This removes the biggest bottleneck in voice AI adoption. Voice is -
10 AI Concepts Essential for Software Engineers
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10 #AI Concepts for Software Engineers by @systemdesignone #GenAI #ArtificialIntelligence #MachineLearning #ML #NLP
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Deep Learning Revolution in Object Detection: From AlexNet to RCNN
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The Deep Learning Revolution in Object Detection
— Satya Mallick (@LearnOpenCV) 18 mars 2026
In 2012, AlexNet shocked the world-proving that neural networks could learn features automatically.
By 2014, RCNN took it further: generating region proposals, running CNNs on each, and refining bounding boxes.
This leap… pic.twitter.com/iILWyGT0gQThe Deep Learning Revolution in Object Detection In 2012, AlexNet shocked the world-proving that neural networks could learn features automatically. By 2014, RCNN took it further: generating region proposals, running CNNs on each, and refining bounding boxes.
This leap -
MIT Offers 35 Free Machine Learning Courses on edX
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MIT: 35 Best Courses in Machine Learning! @MIT Explore a world of knowledge with free online courses from MIT on edX, featuring lessons in AI, machine learning, computer science engineering, circuits and electronics, Genetics, data science, statistics and much more. Many
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Gaussian Processes with GPy for Machine Learning
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Gaussian GPy for Machine Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/GP-GPyTorch