Mon.May 29, 2023

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Gitai Gets ¥4 billion Funding to Develop Space Robots, Aims to Reduce Labor Costs by 100 Times

AsiaTechDaily

Bookmark ( 0 ) Please login to bookmark Username or Email Address Password Remember Me No account yet? Register Gitai, a Tokyo-based startup, has recently closed a 4 billion yen funding round to accelerate the development of its remotely-controlled robots for space exploration. With the intention of significantly reducing operational costs, CEO Sho Nakanose envisions a future where space robots can efficiently handle routine tasks on the moon or Mars.

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Replace Your Market Size Slide With Recent Acquisitions in Your Pitch Deck

Entrepreneur's Handbook

Did you know that the Floppy Disk market is growing 13% annually? It’s seriously time to burn the TAM, SAM, and SOM.

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TRIREC, INNOPOWER team up for $100m green energy fund

AsiaTechDaily

Bookmark ( 0 ) Please login to bookmark Username or Email Address Password Remember Me No account yet? Register Singapore-based venture capital firm TRIREC and Thai energy innovations company INNOPOWER announced today the formation of Energy Ignition Ventures, a $100-million growth-stage fund aimed at promoting decarbonisation initiatives. This strategic partnership will help catalyze the investment in companies that are making substantial contributions towards the global target of achieving a n

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Winning the AI Products Arms Race

Reforge

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From Curiosity to Competitive Edge: How Mid-Market CEOs Are Using AI to Scale Smarter

Speaker: Lee Andrews, Founder at LJA New Media & Tony Karrer, Founder and CTO at Aggregage

This session will walk you through how one CEO used generative AI, workflow automation, and sales personalization to transform an entire security company—then built the Zero to Strategy framework that other mid-market leaders are now using to unlock 3.5x ROI. As a business executive, you’ll learn how to assess AI opportunities in your business, drive adoption across teams, and overcome internal resource constraints—without hiring a single data scientist.

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Observations Using LLMs Every Day for Two Months

Tomasz Tunguz

I’ve been using large-language models (LLMs) most days for the past few months for three major use cases : data analysis, writing code, & web search 1. Here’s what I’ve observed: First, coding incrementally works better than describing a full task all at once. Second, coding LLMs struggle to solve problems of their own creation, turning in circles, & debugging can require significant work.