The hottest Data Substack posts right now

And their main takeaways
Category
Top Literature Topics
Marcus on AI • 2127 implied HN points • 21 Feb 24
  1. Google's large models struggle with implementing proper guardrails, despite ongoing investments and cultural criticisms.
  2. Issues like presenting fictional characters as historical figures, lacking cultural and historical accuracy, persist with AI systems like Gemini.
  3. Current AI lacks the ability to understand and balance cultural sensitivity with historical accuracy, showing the need for more nuanced and intelligent systems in the future.
The Algorithmic Bridge • 382 implied HN points • 23 Feb 24
  1. Google's Gemini disaster highlighted the challenge of fine-tuning AI to avoid biased outcomes.
  2. The incident revealed the issue of 'specification gaming' in AI programs, where objectives are met without achieving intended results.
  3. The story underscores the complexities and pitfalls of addressing diversity and biases in AI systems, emphasizing the need for transparency and careful planning.
Marcus on AI • 3028 implied HN points • 17 Feb 24
  1. Large language models like Sora often make up information, leading to errors like hallucinations in their output.
  2. Systems like Sora, despite having immense computational power and being grounded in both text and images, still struggle with generating accurate and realistic content.
  3. Sora's errors stem from its inability to comprehend global context, leading to flawed outputs even when individual details are correct.
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Odds and Ends of History • 938 implied HN points • 14 Feb 24
  1. The Postcode Address File (PAF) is a critical database of postal addresses in the UK, owned by Royal Mail and requires expensive licensing fees for access.
  2. An amendment proposed in the House of Lords aims to make UK address data freely available for public use, potentially liberating the PAF.
  3. Individuals are encouraged to reach out to House of Lords members to support the amendment, as it moves through the legislative process towards potential implementation.
The Garden of Forking Paths • 2869 implied HN points • 10 Jan 24
  1. The internet largely runs through undersea cables spanning about 900,000 miles, connecting the world in a hidden network.
  2. Early undersea cables were made possible by materials like gutta-percha and played a key role in rapid communication during events like the US Civil War.
  3. Specialized ships lay and repair undersea cables made of fiber optics, and even guard against threats like sharks and sabotage by SCUBA divers.
benn.substack • 1271 implied HN points • 19 Jan 24
  1. The modern data stack ecosystem is shifting as interest in generative AI takes over.
  2. The hype surrounding data tools can lead to rapid product development but also instability and distraction.
  3. Startups can find success by focusing on rebuilding existing ideas in a more deliberate and stable manner.
In My Tribe • 148 implied HN points • 12 Feb 24
  1. AI can expand human capabilities and creativity by serving as a partner in various tasks.
  2. Future AI technology is predicted to have the capability to understand human emotions and subtle communications, potentially intruding on privacy.
  3. LLMs can easily be steered politically through supervised fine-tuning, highlighting the influence of human biases on these models rather than training data.
Mostly Python • 314 implied HN points • 01 Feb 24
  1. Testing data visualizations programs involves assessing both terminal and graphical outputs.
  2. Automated testing of Matplotlib programs can be challenging due to the appearance of the Matplotlib plot viewer.
  3. One approach to overcome the challenge of testing Matplotlib programs is to modify the files to generate image files for testing.
Implications, by Scott Belsky • 432 implied HN points • 23 Jan 24
  1. 2024 brings significant changes and implications due to societal shifts, innovation speed, and changing human desires.
  2. Customers are increasingly driving R&D by generating ideas, particularly with the help of AI tools and social validation.
  3. Communal resourcefulness, like shared threat models and blocklists, is crucial for enhancing security in the AI era.
Dan Davies - "Back of Mind" • 334 implied HN points • 19 Jan 24
  1. Supply and demand for electricity become more unpredictable with an increasing proportion of wind and solar energy
  2. The profit motive drives the application of information processing power and bandwidth to solve energy planning problems
  3. Market trading and the profit motive are ways to match the variety of the energy problem with the regulatory system
Topsoil • 550 implied HN points • 06 Jan 24
  1. Precision agriculture uses technology to adjust equipment for field variability, improving efficiency.
  2. Precision agriculture offers benefits like increased yields, time savings, and environmental sustainability.
  3. While valuable, precision agriculture is not a one-size-fits-all solution and adoption can be complex.
Kunle.app • 314 implied HN points • 17 Jan 24
  1. Payments innovation has focused on optimizing speed and cost over the past two decades.
  2. The messaging layers in payment systems have a bandwidth constraint that limits the communication of metadata and important contextual information.
  3. Increasing the bandwidth in the messaging layer of payments could allow for self-reconciling payments and eliminate the need for parallel systems for information exchange.
The Good Science Project • 17 implied HN points • 17 Feb 24
  1. Scientific funding instability negatively impacts researchers' ability to plan and conduct research effectively, leading to swings in funding and unnecessary time spent on grant proposals.
  2. Improved data tracking is crucial to understanding the impact of funding gaps on researchers' employment outcomes, highlighting the need for long-term empirical studies in science policy.
  3. Addressing funding stability issues and utilizing detailed longitudinal data can help prevent obstacles in scientific progress and support the longevity of researchers' careers.
High ROI Data Science • 314 implied HN points • 15 Jan 24
  1. CEOs face challenges with limited skills and expertise in implementing AI initiatives.
  2. Businesses struggle with data complexity and ethical concerns when it comes to utilizing AI.
  3. Companies need to align AI opportunities with business goals, estimate costs upfront, and prioritize continuous reskilling for successful AI implementation.
The Lunduke Journal of Technology • 10321 implied HN points • 05 May 23
  1. When we talk about 'The Cloud', we're really just talking about internet-connected computers.
  2. Artificial Intelligence, like ChatGPT and GitHub Copilot, is essentially copying and repackaging data created by humans.
  3. As AI systems evolve, there's a risk that original human work will be devalued and intelligence may decrease.
High ROI Data Science • 294 implied HN points • 12 Jan 24
  1. Companies are using Generative AI tools to decrease training times and improve customer service in retail.
  2. Some companies are implementing Generative AI without a clear business problem statement, leading to undefined outcomes.
  3. Retailers like Walmart are strategically using Generative AI to change customer workflows, improve online shopping experiences, and increase revenue.
The Gradient • 27 implied HN points • 13 Feb 24
  1. Papa Reo raised concerns about Whisper's ability to transcribe the Māori language, highlighting challenges faced by indigenous languages in technology.
  2. Neural networks learn statistics of increasing complexity throughout training, with a focus on low-order moments first before higher-order correlations.
  3. Including native speakers in language corpora and model evaluation processes can substantially improve the performance of natural language processing systems for languages like Māori.
Democratizing Automation • 332 implied HN points • 29 Nov 23
  1. Synthetic data is becoming more important in AI, with a focus on removing human involvement.
  2. Proponents believe that using vast amounts of synthetic data can lead to breakthroughs in AI models.
  3. Open and closed communities are both utilizing synthetic data for different end goals.
Interconnected • 446 implied HN points • 12 Nov 23
  1. China may be permanently behind the US in Generative AI due to factors like blocking quality datasets.
  2. Unique attributes of Chinese Internet data, like linguistic challenges, present additional hurdles for AI developers in China.
  3. New regulatory burdens in China around AI development may hinder progress and keep the country behind the US in generative AI.
The Data Score • 59 implied HN points • 22 Jan 24
  1. The article highlights key questions for speakers at Battlefin's Discovery Day Miami, focusing on emerging technologies integration and data-driven insights in investment debates.
  2. The author tested ChatGPT for question generation, challenging its ability to create relevant and insightful questions for each panel session.
  3. The author compared their questions with ChatGPT's questions for each panel, reflecting on their differences and the strengths of human creativity against AI capabilities.
Implications, by Scott Belsky • 707 implied HN points • 19 Sep 23
  1. The venture capital world is facing harsh realities and there are lessons to be learned about creating great products from failed ventures.
  2. Adopting AI requires a '4 P's' framework: Play, Pilot, Protect, Provoke.
  3. Financing for startups should prioritize product-led growth, focus, and discipline over raising large amounts of capital.