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- Biggest Open-Source Model Ever đź’
Biggest Open-Source Model Ever đź’
And $16.5M to Streamline Software for Drones and Robots.
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News Roundup
Nauto’s AI Cameras - Dual-facing AI cameras reduce distracted driving accidents by alerting drivers and providing valuable data for fleet operators.
Skills AI Can’t Replace in the Workplace - The future of work will be shaped by uniquely human skills that AI cannot replicate, according to Jotform CEO Aytekin Tank.
$16.5M to Streamline Software for Drones and Robots - Code Metal is building a translation platform that allows developers to write software in common programming languages and quickly adapt it to run on various hardware chips.
Zuckerberg Advocates Open-Source AI - Zuckerberg argues open-source AI is crucial for fostering innovation and preventing monopolization of the technology.
Todays Top Story
Nexis+ AI aims to broadly accelerate data-intensive corporate research.
The platform allows users to quickly search and analyze business, financial, and legal information, summarize lengthy documents, compile and share content, create first drafts of intelligence reports, discover relevant data points, and deliver actionable business insights.
LexisNexis engaged publishers early on and leveraged its reputation to create a platform that balances innovation with content creators.
Tool Spotlight
Otto’s Tabular AI
“For years, I’ve been configuring Google Sheets and more recently using ChatGPT to create AI agent-like workflows within Google Sheets, but Otto seems to be taking this concept to an entirely new level.
Their implementation leverages the familiar table format to create a powerful research environment, making it intuitive for users already comfortable with spreadsheets while significantly enhancing their capabilities with AI.
What excites me about Otto’s approach is how it moves past the limitations of traditional chat interfaces and the cumbersome cut-and-paste methods we often rely on today. The demo suggests that Otto has implemented “Agent”-like features that run in the background, potentially doing much of the heavy lifting in data processing and analysis.”
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