I'll Keep This Short

'I'll Keep This Short' explores the underrepresented facets of AI and Large Language Models, focusing on issues like factual knowledge alignment, decentralization, open source challenges, specific AI applications (e.g., image generation, 3D objects), and broader social implications including prediction markets and the impact on entrepreneurship and education.

Artificial Intelligence Large Language Models Decentralization in AI Open Source Projects AI in Gaming and Image Generation Social and Economic Impacts of AI Prediction Markets Education and Technology Entrepreneurship Historical Perspectives on Technology

The hottest Substack posts of I'll Keep This Short

And their main takeaways

The Fine-Turning an Open Source Language Model Journey Part One: Impetus

5 implied HN points • 09 Oct 23
🕹 Technology AI Language Models Artificial Intelligence Software Development Online Content
  1. Large Language Models have seen significant growth and impact, with companies like OpenAI and Amazon heavily investing in them.
  2. Safety and alignment concerns with Artificial Intelligence are important, and it's valuable to work on practical solutions.
  3. The online space is crowded with repeated ideas and groupthink, contributing to a environment where unique and nuanced ideas are less common.

Craft Beer and Spongiform Brain Bacterium

5 implied HN points • 25 Sep 23
🍲 Food & Drink Brewing Entrepreneurship Failure
  1. Craft beer industry is facing closures and challenges, with many breweries shutting down after years of growth.
  2. Entrepreneurship involves tough decisions and sacrifices, like founders needing to take second jobs to keep their ventures afloat.
  3. Reflecting on failed ventures is important, acknowledging the dark side of entrepreneurship and the need to know when to let go.
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Viva la Revolución Of...Open Source Large Language Models?

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.

Wanna Bet?

5 implied HN points • 11 Apr 23
🕹 Technology AI Prediction Markets ML Gambling
  1. Prediction markets can help gain subject matter expertise.
  2. Precise forecasting requires precisely defined questions.
  3. Viral topics attract more participation in prediction markets.

Whatever Happened to The Internet of Things?

3 HN points • 05 Jun 23
🕹 Technology IOT Prediction Markets Patents Marketing Strategy
  1. The Internet of Things has been difficult to define in terms of success due to its varied meanings over time.
  2. Using prediction markets can help provide a more objective way to discuss and analyze topics like the Internet of Things.
  3. IoT has become commonplace and less of a marketing trend, with its search volume remaining relatively stable but showing potential for future growth.

A.I. Panic: Are Robots Going to Kill Us All?

0 implied HN points • 28 Aug 23
🕹 Technology Artificial Intelligence Mental health Ethics Market Analysis Software Development
  1. Loss of control and security during the pandemic led to increased mental health issues like anxiety and depression worldwide.
  2. People's reactions to societal changes and technological advancements reflect growing aggressiveness and nihilism.
  3. Concerns about AI like robots taking over jobs reflect a broader mental health crisis rather than imminent existential threats.

Threading an Argument for the Fediverse

0 implied HN points • 31 Jul 23
🕹 Technology Social media Open Source Data Privacy Tech industry Artificial Intelligence
  1. Meta's Threads app is aiming to be compatible with open, interoperable social networks like the Fediverse.
  2. The Fediverse includes various open source social media platforms like Mastodon, Lemmy, and PeerTube.
  3. There is potential for conflict and resistance within the Fediverse regarding Meta's involvement, with concerns about privacy and influence.

Insights from Recent Prediction Markets Polls: What Users Want in a Platform

0 implied HN points • 07 Nov 23
🕹 Technology Prediction Markets Artificial Intelligence Content Moderation
  1. Users are interested in both short and long-term prediction markets; platforms should support varying time horizons.
  2. There is a preference for non-curated markets, allowing users the freedom to create markets that interest them.
  3. Many users are motivated by gaming and enjoyment when using prediction markets, highlighting the importance of designing engaging experiences.