Sable
PulseAugur coverage of Sable — every cluster mentioning Sable across labs, papers, and developer communities, ranked by signal.
- 2026-07-16 funding Sable raised $45 million in funding from Sequoia Capital and 8VC. source
2 day(s) with sentiment data
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New research probes LLM state tracking, efficiency, and evaluation standards
New research explores the capabilities and limitations of large language models across various domains. StateBench evaluates how well models track state changes in long documents, finding that while recurrent architectu…
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New SABLE method tackles high-dimensional latent space optimization
Researchers have developed SABLE, a novel Bayesian optimization method designed for high-dimensional latent spaces with limited evaluation budgets. This method addresses the challenge where the number of dimensions sign…
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Sable launches as a local-first AI financial agent with user-controlled actions
Sable is a new AI financial agent designed for local-first operation, meaning all its data is stored on-device using SQLite and it lacks a cloud backend. The agent operates with a 'Review & Confirm' boundary, where it p…
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New framework uses LLMs for AI-driven drug discovery optimization
Researchers have developed SABLE (Synthetically-accessible Agentic Bayesian Ligand Exploration), an open-source framework designed to streamline hit-to-lead optimization in drug discovery. SABLE utilizes natural-languag…
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Sable raises $45M for AI sales 'employee' Aiden
Sable, a startup less than a year old, has secured $45 million in funding from Sequoia Capital and 8VC for its AI "employee" named Aiden. Aiden is designed to act as a human-like sales representative, capable of conduct…
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LLM framework SABLE enables NDA-safe analog circuit optimization
Researchers have developed SABLE, a framework designed to enable large language models (LLMs) to optimize analog circuits within industrial Electronic Design Automation (EDA) flows without compromising sensitive intelle…
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Trigger color significantly impacts federated learning backdoor attack success
Researchers have demonstrated that the color of visual triggers significantly impacts the success rate of backdoor attacks in federated learning. By manipulating trigger colors on semantic objects like masks and sunglas…