Given the recent burst of activity around enterprise pricing and contracts, I think April 2026 was the month when both OpenAI and Anthropic found product-market fit
INNOVATION
-
HALO AI System Teaches Robots to Collaborate Naturally with Humans
By
–
HALO: The #AI System Teaching #Robots to Collaborate Naturally with Humans
— Ronald van Loon (@Ronald_vanLoon) 27 mai 2026
by @lukas_m_ziegler
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/hOSXnIfktjHALO: The #AI System Teaching #Robots to Collaborate Naturally with Humans
by @lukas_m_ziegler #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
AI advantage from faster leaner systems, not better prompts
By
–
The next AI advantage won't come from a better prompt. It'll come from a faster, leaner system underneath the model. Her's Law and the Tau Scaling Law framework are worth understanding deeply if you're making AI infrastructure decisions. @huawei is leading this thinking. What
-
Huawei’s Tau Scaling Law changes AI optimization layer focus
By
–
Most enterprises are optimizing the wrong layer of AI.
— Ronald van Loon (@Ronald_vanLoon) 27 mai 2026
Cost per token doesn't start with the model.
It starts underneath it.
Huawei's Tau Scaling Law (Her's Law) changes the conversation entirely.
Here's the breakdown…#HuaweiPartner @huawei pic.twitter.com/P5fnE5CtGuMost enterprises are optimizing the wrong layer of AI. Cost per token doesn't start with the model. It starts underneath it. Huawei's Tau Scaling Law (Her's Law) changes the conversation entirely. Here's the breakdown… #HuaweiPartner @huawei
-
Novel Block-Based Backprop Reduces AI Training Memory
By
–
For over a decade, we’ve accepted that end-to-end backprop is the only way to train deep networks. But holding the entire network in memory all at once is why AI training is hitting a resource wall.
— hardmaru (@hardmaru) 27 mai 2026
We found a new way to break the network into blocks and train them… https://t.co/vxyMR6goTDFor over a decade, we’ve accepted that end-to-end backprop is the only way to train deep networks. But holding the entire network in memory all at once is why AI training is hitting a resource wall. We found a new way to break the network into blocks and train them
-
DiffusionBlocks: Block-wise Neural Network Training via Diffusion
By
–
Introducing DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretationhttps://t.co/45Xvzl2qQS
— Sakana AI (@SakanaAILabs) 27 mai 2026
What if we didn’t have to hold an entire neural network in memory to train it?
Standard neural net training optimizes all parameters jointly. As a result, the… pic.twitter.com/jJtFg61nJhIntroducing DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation http://
pub.sakana.ai/diffusionblocks What if we didn’t have to hold an entire neural network in memory to train it? Standard neural net training optimizes all parameters jointly. As a result, the -
Agentic AI Pipeline for Hardware Model Testing
By
–
We created an agentic AI model pipeline utilizing a fleet of our new TT-QuietBoxes and Tenstorrent Galaxies to download random models from @huggingface to port to our hardware, compile, and test for accuracy.
— Tenstorrent (@tenstorrent) 27 mai 2026
After thousands and thousands of models, the model pass rate has been… pic.twitter.com/6BlKUNRL5dWe created an agentic AI model pipeline utilizing a fleet of our new TT-QuietBoxes and Tenstorrent Galaxies to download random models from @huggingface to port to our hardware, compile, and test for accuracy. After thousands and thousands of models, the model pass rate has been
-
SkillOS: Open-Source AI-Agent Work Compounding Framework
By
–
http://
MONTREAL.AI just shipped SkillOS. An open-source proof that AI-agent work can compound. Jobs become traces.
Traces become tested skills.
Tested skills improve unit economics. 62% cost ↓
62% time ↓
+46 pts quality Proof: https://
montrealai.github.io/skillos/ GitHub: -
Introduction to Runway MCP: Connect to Claude, ChatGPT, and More
By
–
Introducing Runway MCP. Now you can connect Runway directly into Claude, ChatGPT, Cursor, Replit and more.
— Runway (@runwayml) 27 mai 2026
Generate polished images and videos with state-of-the-art models, like Gen-4.5, Seedance 2.0, GPT Images 2.0, Kling and more. Right from where you're already working.… pic.twitter.com/J3wBb4kZDyIntroducing Runway MCP. Now you can connect Runway directly into Claude, ChatGPT, Cursor, Replit and more. Generate polished images and videos with state-of-the-art models, like Gen-4.5, Seedance 2.0, GPT Images 2.0, Kling and more. Right from where you're already working.
-
TRIBE v2: Meta’s Trimodal Brain Encoder Creates Neural Digital Twins
By
–
Meet TRIBE v2: A Trimodal Brain Encoder Creating #Digital Twins of Neural Activity
— Ronald van Loon (@Ronald_vanLoon) 27 mai 2026
by @AIatMeta
#NeuralNetworks #FutureTech #Innovation #DeepLearning #AI pic.twitter.com/nXueGRFIxTMeet TRIBE v2: A Trimodal Brain Encoder Creating #Digital Twins of Neural Activity
by @AIatMeta #NeuralNetworks #FutureTech #Innovation #DeepLearning #AI