Tip 1: Opus 4.7 uses a new tokenizer behind the scenes. In our testing, it can use between 1x and 1.5x more tokens when compared to Opus 4.6, so it’s worth planning accordingly.
AI
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Generative AI Deciphers Cancer Complexity in Latest Research
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Generative AI to deconvolute the complexity of cancer @CellCellPress https://
cell.com/cell/fulltext/
S0092-8674(26)00328-4
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Robotics Project Enhanced With Innovative Yellow Balloon Technology
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This Man’s #Robotics Project Levels Up With a Mysterious Yellow Balloon
— Ronald van Loon (@Ronald_vanLoon) 16 avril 2026
by @IntEngineering#Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/2Zv7yyuuydThis Man’s #Robotics Project Levels Up With a Mysterious Yellow Balloon
by @IntEngineering #Engineering #ArtificialIntelligence #Innovation #Technology -
Opus 4.7 Released: More Powerful, More Expensive or Run Local
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opus 4.7 slightly more dangerous, slightly more expensive OR: run local models!
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Type 2 Diabetes Linked to Silent Liver Disease in India
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A recent study published in The Lancet Regional Health Southeast Asia highlights liver disease as the “fourth major complication” of Type 2 Diabetes (T2D) in India. https://
livemint.com/science/health
/world-liver-day-2026-is-your-diabetes-hiding-a-silent-crisis-1-in-20-indians-have-hidden-cirrhosis-says-lancet-11776244548948.html
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#research #diabetes #healthcare #india -
Interactive AI Storytelling Platform Launches Multiple Narrative Paths
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stick to the canon with Book Arc, flip the script with Go Off Script, or go full chaos with Alt Universe.
— Character.AI (@character_ai) 16 avril 2026
where it goes next is up to you ✍️
go play today at https://t.co/r2G4TFdv7n 📖 pic.twitter.com/0mHsZ7PvRsstick to the canon with Book Arc, flip the script with Go Off Script, or go full chaos with Alt Universe. where it goes next is up to you go play today at http://
c.ai/books -
Anthropic Releases Claude Opus 4.7 With Agentic and Vision Upgrades
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Anthropic just released Claude Opus 4.7! A step up in agentic coding, reasoning, and vision benchmarks. Anthropic also says 4.7 is better at handling longer, complex tasks, with upgraded instruction following and memory usage.
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Foundation Model for Tabular Data Uses In-Context Learning
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It's a foundation model for tabular data that uses in-context learning: feed it your labeled data, and it reads the patterns and returns predictions in a single forward pass. No gradient updates. No per-dataset training. Just data in, predictions out — in seconds.
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TabH2O v1 Outperforms CatBoost and LightGBM on TALENT Benchmark
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On TALENT — an independent benchmark of 300 classification and regression tasks — TabH2O v1 outranked tuned CatBoost, and LightGBM across the board. With zero hyperparameter tuning.
— H2O.ai (@h2oai) 16 avril 2026
Read the blog to learn more: https://t.co/qX6vx4hAdv#AI #MachineLearning #TabularData… pic.twitter.com/FNf0GU5PP6On TALENT — an independent benchmark of 300 classification and regression tasks — TabH2O v1 outranked tuned CatBoost, and LightGBM across the board. With zero hyperparameter tuning. Read the blog to learn more: https://
h2o.ai/blog/2026/intr
oducing-tabh2o/
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TabH2O Aims to Accelerate Tabular Machine Learning Workflows
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Building a model for a new tabular dataset still takes weeks. Feature engineering, model selection, hyperparameter tuning, iteration — before a single prediction is made. #TabH2O is our answer to that.