The hottest Finances Substack posts right now

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The Watch • 437 implied HN points • 09 Oct 23
📰 News Journalism Substack Finances Challenges
  1. Investigative journalism requires patience and may not always result in a story.
  2. Finding stories involves tips from various sources like public defenders and casual conversations.
  3. Keeping content free can be rewarding in terms of subscriber support and belief in your work.

Amtrak is still riding the nostalgia train

Urben Field Notes • 32 implied HN points • 26 Feb 24
💼 Business Transportation Finances Government Infrastructure Policy
  1. Long-distance trains are nostalgic but may not be the most efficient way to provide rail service to small towns and neglected regions.
  2. Expanding long-distance train routes could reach more Americans, but issues include unreliable trip durations, inconvenient schedules, and high costs.
  3. Optimizing rail routes by focusing on shorter, higher-demand trips could be a more cost-effective and efficient way to improve passenger rail service in America.
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Paris Saint-Germain Finances 2021/22

The Swiss Ramble • 471 implied HN points • 15 May 23
🎾 Sports Finances Team performance Expenses Investments
  1. Paris Saint-Germain's finances show a significant loss despite an increase in revenue and profit from player sales.
  2. The team experienced a substantial rise in operating expenses and faced challenges with compliance to UEFA's Financial Fair Play regulations.
  3. PSG's revenue improved mainly in commercial areas, but broadcasting revenue decreased due to poor Champions League performance and deferred income.

Viva la Revolución Of...Open Source Large Language Models?

I'll Keep This Short • 5 implied HN points • 08 May 23
🕹 Technology AI Open Source Finances Market Trends Digital innovation
  1. Open source Large Language Models are challenging centralized models like GPT-4, offering comparable quality at a lower cost.
  2. Companies like OpenAI face financial challenges in developing and maintaining cutting-edge AI technology.
  3. Google acknowledges the threat of open source LLMs, highlighting the need for collaboration and reevaluation of value propositions in the AI market.