Like many organizations new to AI, our spending on coding agents has increased quite dramatically over the past few months. A key element of the LLM gateway we are developing (available in private preview right now) is the control of…
MACHINE LEARNING
-
Get a letter grade for your AI agent in 5 minutes
By
–
Get a letter grade for your AI agent in under 5 minutes! iFixAi is an open-source diagnostic that catches AI operational misalignment before it damages your business. Actions your agent takes that don't match what you intended, designed, or expected. The dangerous part: these
-
Pokémon Trading Card Game AI Battle Challenge
By
–
Pokémon trading card game ai battle challenge https://t.co/HZBFh7CaLA
— Yohei (@yoheinakajima) 16 juin 2026Pokémon trading card game ai battle challenge
-
US export controls on Anthropic’s AI model spark trust fears
By
–
Axios reports that the industry is now worried White House export controls on Anthropic’s latest model could hurt the entire U.S. AI industry. The problem is trust. And that was to be expected. As Deutsche Bank’s Jim Reid put it: “You can’t rely on something that could be
-
Operational Opacity: AI Understands Better Than Humans
By
–
Has humanity lost the instructions for its own creation? In an op-ed published in the journal Science, Eric Horvitz and Robert West warn about entering the era of 'operational opacity': AI is beginning to understand us better than we understand it.
-
Scalable Voice Agent Design with Amazon Nova Sonic and BedRock
By
–
Scalable Voice Agent Design with Amazon Nova Sonic with Amazon BedRock: Multi-Agent, Tools, and Session Segmentation! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang
-
Radically efficient AI for an open-source future
By
–
The way we will create a future where powerful AI is open-source and accessible to all is by making AI radically more efficient, both in terms of inference compute and (more importantly) in terms of training data requirements. That is what
-
Traces and Evals: From Debugging to Continuous Improvement Loop
By
–
Traces show the inputs, model calls, tool calls, outputs, and final action. Evals turn those learnings into a way to test whether the next version is better. This is how teams move from manual debugging to a continuous improvement loop. Join @hwchase17 for a deep dive on June
-
AI betrayed by the uniformity of its writing
By
–
1/ AI gets caught because its writing can be predictable.
Detectors measure how uniformly the text flows. Same sentence length, same shape, line after line. This uniformity is what indicates it. -
New benchmark MPMWorlds tests AI understanding of physics in videos
By
–
AI can now watch a video and write the physics code behind it.
— AlphaSignal (@AlphaSignalAI) 16 juin 2026
Video models are often called world simulators.
A new paper tests whether they actually understand physics.
MPMWorlds is a benchmark of 95,000 rendered 2D simulations.
It covers liquids, snow, sand, and… pic.twitter.com/b95y3sdWIAAI can now watch a video and write the physics code behind it. models are often called world simulators. A new paper tests whether they actually understand physics. MPMWorlds is a benchmark of 95,000 rendered 2D simulations. It covers liquids, snow, sand, and