Opus 4.7 is available to Teams
TOOLS
-
Claude Opus 4.7 Integrated into MagicPath AI for Code Tasks
By
–
Opus 4.7 is now available in @MagicPathAI
. From our early testing, the model is really strong at long tasks when design requires lots of changes, image-to-code, and overall produces cleaner, more reusable React components. -
Databricks Document Intelligence: Structured Data Extraction for Enterprise AI
By
–
Introducing Databricks Document Intelligence: a research-specialized layer that turns raw enterprise documents into structured data your agents can actually reason over.
— Databricks (@databricks) 16 avril 2026
Across our benchmarks, Document Intelligence delivered the highest end-to-end parsing and extraction quality… pic.twitter.com/rjPjJSXjY8Introducing Databricks Document Intelligence: a research-specialized layer that turns raw enterprise documents into structured data your agents can actually reason over. Across our benchmarks, Document Intelligence delivered the highest end-to-end parsing and extraction quality
-
Claude Auto Mode: Autonomous Task Execution Without Permission Prompts
By
–
We're also rolling out auto mode for Max users. This means no more permission prompts — give Claude a task, let it run, come back to verified work.
-

Opus 4.7 Arrives in Claude Code with Enhanced Capabilities
By
–
Opus 4.7 is in Claude Code today. It's more agentic, more precise, and a lot better at long-running work. It carries context across sessions and handles ambiguity much better.
-
Seedance Effects: Click-to-Apply Motion and Style Video Effects
By
–
introducing Seedance Effects.
— KREA AI (@krea_ai) 16 avril 2026
our new library lets you apply motion and style effects to any video with just a click.
link and examples below 👇 pic.twitter.com/yr2g8ZIP6hintroducing Seedance Effects. our new library lets you apply motion and style effects to any video with just a click. link and examples below
-
Opus 4.7 Released: More Powerful, More Expensive or Run Local
By
–
opus 4.7 slightly more dangerous, slightly more expensive OR: run local models!
-
TabH2O v1 Outperforms CatBoost and LightGBM on TALENT Benchmark
By
–
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/
… #AI #MachineLearning #TabularData -
TabH2O Aims to Accelerate Tabular Machine Learning Workflows
By
–
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.
-
Obliteratus Tool Removes Safety Refusals From Open-Weight LLMs
By
–
Someone built a tool that deletes censorship from any open-weight LLM with a single click.
— AlphaSignal AI (@AlphaSignalAI) 16 avril 2026
Most open-source models ship with built-in refusal.
They reject prompts even when the use case is legitimate.
Research, red-teaming, creative writing.
Obliteratus is a toolkit that… pic.twitter.com/KnNohJirS1Someone built a tool that deletes censorship from any open-weight LLM with a single click. Most open-source models ship with built-in refusal. They reject prompts even when the use case is legitimate. Research, red-teaming, creative writing. Obliteratus is a toolkit that