What we've seen in AI in the last few years is more and more progress along a narrower and narrower front.
RESEARCH
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AI-Powered Malware: Emerging Threat in Cybersecurity
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AI-powered malware is here
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
LLMs Fail at Poker, Nowhere Near AGI
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Yet another illustration of why LLMs aren’t even close to being AGI. Tombos21 (@tombos21) The world’s best LLMs are still terrible at poker. We put each model into a 200bb heads-up NLHE match against GTO Wizard AI. The best one lost 16 bb/100. For context, a strong human pro only loses about ~4 bb/100. The benchmark is public, so anyone can test their own model. — https://nitter.net/tombos21/status/2042290717499015253#m
→ View original post on X — @garymarcus, 2026-04-10 20:29 UTC
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New research on game industry AI adaptation from 20 studios
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Our Lab just posted a new research report from Zimran Ahmed about how the game industry is adapting to AI. He spoke to people at 20 different studios and found a wide range of approaches to adapt (or failures to adapt) to AI at the organizational level. https://
gail.wharton.upenn.edu/research-and-i
nsights/beyond-copy-paste/
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Online Supervised Learning of Sequential Patterns in Biological Neural Networks
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Online Supervised Learning of Sequential patterns in Biological Neural Networks! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Biological-NNs
→ View original post on X — @gp_pulipaka, 2026-04-10 20:00 UTC
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Reinforcement Learning Books to Read for Data Science
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#ReinforcementLearning #Books to Read! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/R-L-Books-Read
→ View original post on X — @gp_pulipaka, 2026-04-10 20:00 UTC
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Large Language Model Abstraction in Big Data and AI
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Large Language Model Abstraction! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #NLProc #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/LLM-Abstraction
→ View original post on X — @gp_pulipaka, 2026-04-10 20:00 UTC
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Gary Marcus agrees: LLMs need honest narrative without hype
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Indeed, if the LLM crew would just stick to this narrative, I would have a *lot* less to say 🤷♂️ Viktor (@wickviktorwick) All we want is truth. Instead of overhyping LLMs, they should keep narative: -LLMs are useful in certain domains (math, coding, language) -they have very little common sense -don't trust it blindly -don't expect AGI based on this architecture — https://nitter.net/wickviktorwick/status/2042677519418048574#m
→ View original post on X — @garymarcus, 2026-04-10 19:17 UTC
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AI’s Best Use Case: Improving Human Health
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"The best use case of AI is to improve human health"—
@demishassabis -
Machine Learning AMA on Reddit April 15th
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Excited to announce I’ll be on Reddit for an AMA r/MachineLearning on 15th April at 17:00 CEST/16:00 BST/11:00 ET/08:00 PT.