One thing about DL researchers that has always been surprising to me, is that a lot of them have never been exposed to forms of learning other than fitting the parameters of a curve via gradient descent, and are even unable to conceive that there might exist other options
RESEARCH
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Context Rot Demands Specialization in AI Systems
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prima facie as long as context rot is a thing you are going to need specialization or you're gonna have a bad time
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ICML 2026 announces 44 workshops and 4 affinity workshops
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We're excited to announce the 44 workshops and 4 affinity workshops to be held at #ICML2026! Read the blog post to see what they are, and learn more about the selection process. This year was exceptionally selective, with 247 submissions but only capacity to host 44 workshops
→ View original post on X — @thegautamkamath, 2026-04-06 23:58 UTC
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Zhejiang University Develops Jet-Propelled Flying Humanoid Robots
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Jet-Propelled Humanoids? Zhejiang University Pushes #Robot Flight Forward
— Ronald van Loon (@Ronald_vanLoon) 6 avril 2026
by @XRoboHub#Robotics #EmergingTech #Innovation #Technology pic.twitter.com/xw9XhYVEpwJet-Propelled Humanoids? Zhejiang University Pushes #Robot Flight Forward by @XRoboHub #Robotics #EmergingTech #Innovation #Technology
→ View original post on X — @ronald_vanloon, 2026-04-06 23:16 UTC
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Reasoning Reduces AI Hallucinations: Data Analysis
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I don’t doubt that reasoning has reduced hallucinations but you are putting words in my mouth and ignoring the data 4.6% is not an upper bound, coming from a known benchmark. i am sure under some circumstances the number will prove to be higher.
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Anecdotal Reports vs Scientific Literature: Statistical Significance in AI Research
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because i read the scientific literature ancedotal reports mean almost nothing if the rate is around 5%
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Starving for Intelligence: Massive Compute Constraints Challenge
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We are starving for Intelligence and we are still massively compute constrained.
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Neural Network Expert Disputes AI Model Hallucination Claims
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I am blocking you unless you retract this. I have been working on neural networks for 30 years. A recent survey showed my technical predictions have been over 90% correct. Your own data (ie the data that you pointed) supported my claim that current models still hallucinate.
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VoxCPM 2: Revolutionary Open-Source Text-to-Speech Model Released
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Loved collaborating with @OpenBMB on this.
— Charly Wargnier (@DataChaz) 6 avril 2026
♻️ Show some love with a repost if you enjoyed the content. Supporting small teams is how we build the future 🤗
Stay ahead with daily drops on LLMs, agents, and workflows by following me → @datachaz https://t.co/tXpDPDlS6GLoved collaborating with @OpenBMB on this. ♻️ Show some love with a repost if you enjoyed the content. Supporting small teams is how we build the future 🤗 Stay ahead with daily drops on LLMs, agents, and workflows by following me → @datachaz Charly Wargnier (@DataChaz) 🚨 The new era of Open-Source TTS is here. @OpenBMB's VoxCPM 2 just dropped and it changes the game for voice synthesis. We are moving past fixed speaker presets to true "Concept-to-Voice" generation. Just describe the voice you want in text, and the 2B model builds it. How does it beat discrete token-based models like Qwen3-TTS? VoxCPM 2 uses a cutting-edge Diffusion-Autoregressive Continuous Representation framework. → Eliminates discrete token data loss → Preserves raw acoustic metadata → Outputs natively in 48,000Hz CD-quality audio The studio-grade expressiveness is phenomenal. I gave it a specific text prompt: "Deep booming male voice, strong resonant vocal, rhythmic hype pace." It dynamically calculates natural breathing, chest vibrations, and micro-pauses. It actually performs the text naturally. Best of all, the entire stack is fully open-source and highly developer-friendly. → Native PyTorch inference workflows → LoRA and full-parameter fine-tuning → Compatible with voxcpm-nanovllm Repo and demos links in 🧵↓ — https://nitter.net/DataChaz/status/2041289800695873546#m
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Generative AI will enable sophisticated creative rewrites in six years
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Lisez bien. Dans moins de 6 ans, les IA génératives seront tellement puissantes que vous pourrez prompter 20 fois "procède à la réécriture du livre de Victor Hugo « Les Misérables » et fait en sorte que ça se finisse bien pour Fantine Gavroche Éponine, ajoute des détails