Where to look for #GenerativeAI risks by Beth Stackpole @MITSloan Learn more: bit.ly/4uybBsA #LLM #GenAI #ArtificialIntelligence #MachineLearning
→ View original post on X — @ronald_vanloon, 2026-04-12 07:48 UTC

By
–
Where to look for #GenerativeAI risks by Beth Stackpole @MITSloan Learn more: bit.ly/4uybBsA #LLM #GenAI #ArtificialIntelligence #MachineLearning
→ View original post on X — @ronald_vanloon, 2026-04-12 07:48 UTC
By
–
Un robot humanoïde vient de courir à 36 km/h.
— VISION IA (@vision_ia) 12 avril 2026
Unitree H1 atteint 10 m/s. C'est l'équivalent d'un 100 mètres en 10 secondes. Le niveau d'un champion du monde humain.
Et le plus fou : ce robot a le physique d'une personne normale. 62 kg. Jambes de 80 cm. Pas un monstre mécanique… https://t.co/p7XsdOYgUP
A humanoid robot just ran at 36 km/h. Unitree H1 reaches 10 m/s. That's the equivalent of a 100-meter dash in 10 seconds. The level of a human world champion. And the craziest part: this robot has the physique of a normal person. 62 kg. Legs 80 cm long. Not a 2-meter mechanical
By
–
"Beyond what humans or computers can do alone" is exactly the right framing. Not replacement, collaboration.
By
–
This blog made the rounds for a reason. Memory isn't optional!
By
–
Good solution. Btw, Once you’ve identified the high-signal trajectories, you can also pair them with counterfactual continuations (what the agent should have done at the point of failure) to construct preference pairs for DPO. So the signals don't just act as a debugging tool
By
–
I think Muse Spark came in far better than most were expecting as the first new model attempt from Meta, especially given the fact that it has been a year since Llama 4 with no models at all (and that Llama 4 was generally considered a dead end).
By
–
People haven’t figured out yet that AI makes EVERYTHING more efficient. https://t.co/CgwETf6sCR
— Robert Scoble (@Scobleizer) 12 avril 2026
People haven't figured out yet that AI makes EVERYTHING more efficient. The man who won the Nobel Prize just told the world that AI is not the energy crisis, it is the cure for it. Everyone has been screaming about how much electricity AI consumes, the data centers, the training runs, the billions of queries every single day. Hassabis just said AI will extract 30 to 40 percent more efficiency out of national power grids, grids that, right now, operate at only 30 percent of their total capacity according to Stanford researchers. That means the grids we already built are massively underused, and AI is the key to unlocking what is already there. But that is the smallest part of what he is saying. He is saying AI will crack nuclear fusion, the energy source that has been 30 years away for the last 60 years and DeepMind is already working with Commonwealth Fusion in the US to help AI contain plasma inside fusion reactors. His personal mission is to use AI to discover a room-temperature superconductor, a material that would allow electricity to travel with zero loss, something physics has never been able to deliver. The implications of that alone would reshape the entire global economy overnight. He is also saying AI will design next-generation batteries and build the best climate modeling systems humanity has ever had, using them to figure out exactly where the planet is breaking down. Think about what this means, the thing everyone is blaming for the energy crisis is the same thing being bet on to end it forever. [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-12 06:03 UTC

By
–
From Walking to Heavy Lifting: Atlas Shows Off Next-Level Skills
— Ronald van Loon (@Ronald_vanLoon) 12 avril 2026
by @lukas_m_ziegler
#Robotics #ArtificialIntelligence #Innovation #MI #ML #Tech pic.twitter.com/ZZiil46lwU
From Walking to Heavy Lifting: Atlas Shows Off Next-Level Skills by @lukas_m_ziegler #Robotics #ArtificialIntelligence #Innovation #MI #ML #Tech
→ View original post on X — @ronald_vanloon, 2026-04-12 05:27 UTC

By
–



#MachineLearning Puts New Lens on #IoT Computing! by @gp_pulipaka! #BigData #Analytics #DataScience #AI #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/New-Lens-IoT
→ View original post on X — @gp_pulipaka, 2026-04-12 04:57 UTC

By
–

GPT, Generative AI, and LLMs! @AverConferences #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysOfCode geni.us/Aver-Confer
→ View original post on X — @gp_pulipaka, 2026-04-12 04:57 UTC