Fully Distributed by Ori Eldarov

Fully Distributed by Ori Eldarov explores the impact and potential of AI, crypto, and other technologies, emphasizing AI's role in various industries, the value of open-source, and the integration of AI in personal and professional spheres. It critiques current technology practices and suggests future directions for innovation and efficiency.

Artificial Intelligence Technology Trends Open-Source Software Cryptocurrency AI in Business Legal Tech Software Development Workplace Efficiency Consumer AI Applications

The hottest Substack posts of Fully Distributed by Ori Eldarov

And their main takeaways

"AI For PE" Startups Are Missing the Point

78 implied HN points • 04 Aug 23
💼 Business AI Startups Private Equity Investing Automation
  1. The real value in AI for Private Equity is in enhancing portfolio companies, not just investors.
  2. Most AI solutions for Private Equity focusing on automating low-impact tasks may not significantly boost revenues for funds.
  3. The opportunity in AI for Private Equity lies in driving operational efficiencies at the portfolio company level through workflow automation and improved analytics.

Becoming Limitless

58 implied HN points • 07 Feb 23
  1. Our brains have limitations in storing and recalling vast amounts of information
  2. Artificial Intelligence can be used to create a 'second brain' that helps access and organize information more effectively
  3. AI assistants could revolutionize how we interact with data and information in various aspects of life

We all need AI friends

39 implied HN points • 27 Feb 23
🕹 Technology AI Virtual assistants Social media Entertainment Monetization
  1. Many people have more free time than they know what to do with, leading to boredom and aimless activities.
  2. The potential killer consumer use case for AI is in entertainment and companionship, offering emotional support and interaction.
  3. Companies are already working on AI companions, like Replika and Character.ai, which could play a significant role in the future market.
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Language Models: Size Matters

39 implied HN points • 30 Mar 23
🕹 Technology Artificial Intelligence Machine Learning Open Source Privacy
  1. The trend towards large language models (LLMs) may not be the best approach due to high training costs and lack of optimization.
  2. Research shows that smaller language models can perform better through fine-tuning with human feedback, offering cost-efficiency and hyper-personalization.
  3. The future may see a mix of ultra-large proprietary models and small open-source models, working together to advance artificial intelligence.

Is Gen AI Bad For Sales?

0 implied HN points • 27 Sep 23
💼 Business AI Sales Technology Future Strategy
  1. Gen AI may be making outbound sales more challenging by flooding prospects with personalized cold emails, causing response rates to drop.
  2. The future of sales will likely involve augmented intelligence, shifting the sales landscape towards AI-to-human and potentially AI-to-AI interactions.
  3. Salespeople need to adapt to evolving AI capabilities to stay competitive in the industry.