In March, Transcribe topped the OpenASR leaderboard for general-purpose speech recognition. Today, it leads a benchmark designed to go beyond and test robustness in real-world, far-field audio environments. Give it a try and share back what you build:
TOOLS
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Cohere Transcribe, open-source ASR model, #1 on Hugging Face benchmark
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Cohere Transcribe, our open-source speech recognition model, is #1 on the new @huggingface Far-Field ASR benchmark.
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LangSmith Fleet template: Software Engineer coding agent from Slack, Linear, GitHub
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LangSmith Fleet template spotlight: Software Engineer Ships code from Slack, Linear, and GitHub in a sandbox A coding agent that takes issues from @Linear
, writes and verifies the code, and opens a PR. Triggered directly from Slack. -
LLM Gateway integrates observability and application into a single tool
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Obtaining both observability and application once meant assembling: A separate gateway, A guardrails platform, An observability stack… then correlating signals between the three when a problem occurred. LLM Gateway integrates both into
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Abacus AI Agent Adds Claude Fable Mode for Task-Specific Model Routing
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Abacus AI Agent Now Has Claude Fable Mode Route to the best model based on your agentic task > Fable – hard coding
> GPT 5.5 – data analysis
> Gemini – research
> Opus 4.8 – design and ppt
> DeepSeek – Agent Swarms
> GPT 5.5 + Opus 4.8 – mobile apps BUILD, CREATE AND -
NotebookLM to support textbooks from Google Play Books
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GOOGLE : NotebookLM will soon support textbooks as a source! Google Play Books and Text Books, all there. h/t @thomas_gmry
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Claude Fable 5 as orchestrator model for long agentic workflows
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You can use Claude Fable 5 as the orchestrator model inside Computer. Available to all Pro and Max users! It’s really really good for long running agentic workflows. https://t.co/c6uPF0dpZv
— Aravind Srinivas (@AravSrinivas) 10 juin 2026You can use Claude Fable 5 as the orchestrator model inside Computer. Available to all Pro and Max users! It’s really really good for long running agentic workflows.
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Cursor’s code review agent faster, cheaper, and finds more bugs
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Cursor’s code review agent is now over 3x faster, 22% cheaper, and finds 10% more bugs.
— Cursor (@cursor_ai) 10 juin 2026
You can also use /review to run Bugbot locally to catch and fix issues before pushing code. pic.twitter.com/Pl7lhoR6TECursor’s code review agent is now over 3x faster, 22% cheaper, and finds 10% more bugs. You can also use /review to run Bugbot locally to catch and fix issues before pushing code.
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Training an open source AI model for construction?
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Should we try to train an open source AI model for construction? We obviously have interesting datasets with HF, MLintern, transformers, trl…
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Tori agent uses SpaceXAI data for market sentiment analysis
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Read more about how Tori, eToro's agent, leverages models and real-time data from SpaceXAI to help consumers analyze market sentiment https://
x.ai/news/grok-etoro