The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Peak Data

East Wind • 2 HN points • 25 Oct 23
🕹 Technology AI
  1. The quality and percentage of human-generated data on the internet may have reached a peak, affecting the efficacy of future AI models.
  2. Models may face challenges with outdated training data and lack of relevant information for solving newer problems.
  3. Potential solutions include leveraging RAG models, proactive data contribution by platform vendors, and maintaining incentives for human contributions on user-generated content platforms.

GPT-5 Public Launch Expected in June

Merlinus’s Substack • 3 HN points • 25 Mar 23
🕹 Technology AI
  1. GPT-5 is expected to launch in June 2023, opening up new possibilities in AI and engineering.
  2. There is a need for a public-private partnership in AI governance to ensure fairness and justice in the development and application of AI technology.
  3. Uniting public and private sectors can help AI develop in alignment with shared values, benefiting society while upholding democratic principles.

Google Launches Bard

Machine Economy Press • 3 implied HN points • 22 Mar 23
🕹 Technology AI
  1. Google launched Bard to enhance productivity, creativity, and curiosity.
  2. Bard is seen as a competitor to other chatbots like OpenAI's ChatGPT.
  3. User feedback will play a critical role in the success of Google's Bard.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Why didn't we get GPT-2 in 2005?

DYNOMIGHT INTERNET NEWSLETTER • 3 HN points • 21 Mar 23
🕹 Technology AI
  1. GPT-2 likely required around 10^21 FLOPs to train, involving various estimates and approaches.
  2. The BlueGene/L supercomputer from 2005 could have trained GPT-2 in about 41 days, showcasing the progress in computing power.
  3. The development of large language models like GPT-2 was a gradual process influenced by evolving ideas, funding, and technology, distinct from targeted moon landing projects.

Data Science Weekly - Issue 126

Data Science Weekly Newsletter • 19 implied HN points • 21 Apr 16
🕹 Technology AI
  1. Drones are becoming easier to build and program, which can make them great hands-on projects for learning about tech.
  2. Applying data analysis techniques to literature can reveal interesting insights, like the emotional journey of characters in books.
  3. Collaborating between humans and machines often leads to better results than relying solely on one or the other.

GPT-4 has come, poor man's ChatGPT - Alpaca

AI Progress Newsletter • 3 implied HN points • 18 Mar 23
🕹 Technology AI
  1. GPT-4 is a large multimodal model that can take text and image inputs but only gives text outputs.
  2. Alpaca offers a way to train your own ChatGPT for $100, providing easy access to powerful instruction-following LLMs.
  3. OpenAI faced criticism for not disclosing GPT-4's training data and architecture, making some NLP research projects irrelevant.

Forecasting Authoritarian and Sovereign Power uses of Large Language Models

Data Taboo • 3 HN points • 13 Mar 23
🕹 Technology AI
  1. Forecasts predict countries may develop and mandate the use of Large Language Models for censorship and propaganda by the end of 2024.
  2. There is a rising likelihood that multiple countries will produce sovereign Large Language Models by the end of 2025.
  3. There is a possibility that by the end of 2026, one country may cut off another from access to their Large Language Model as part of economic sanctions.

Are you the chosen one? 💻[HTC #67]

Hold the code • 2 implied HN points • 17 Oct 23
🕹 Technology AI
  1. The concept of the 10x developer remains intriguing but unproven in software engineering.
  2. Media disinformation enhanced by AI tools is a significant threat to the 2024 US elections.
  3. Utilizing AI in user research presents ethical considerations like transparency, privacy, and bias awareness.

An AI for Humanity

RSS DS+AI Section • 2 HN points • 12 Oct 23
🕹 Technology AI
  1. Predictions about the limits of AI have been proven wrong, affecting society.
  2. AI has made human knowledge and experience less valuable.
  3. A publicly funded 'AI for humanity' project is needed to ensure AI benefits are spread widely.

Data Science Weekly - Issue 121

Data Science Weekly Newsletter • 19 implied HN points • 17 Mar 16
🕹 Technology AI
  1. A new AI with 30 years of knowledge is finally ready to be used in the real world. This shows how far AI has come in understanding and processing information.
  2. There's a new effort to monitor police behavior using algorithms to predict misconduct. This technology aims to improve police interactions with the public.
  3. Using pie charts can be misleading; better alternatives exist for visualizing data. There are effective ways to present statistics that make information clearer.

Followup To Why AI Won't Cause Unemployment

Marc Andreessen Substack • 3 HN points • 05 Mar 23
🕹 Technology AI
  1. Technological innovation can lower prices in some sectors, like consumer electronics, while government regulation tends to raise prices in sectors like healthcare and education.
  2. AI will have a profound impact on society, but most jobs in regulated sectors are safe from AI disruption.
  3. People working in regulated sectors are essentially receiving a form of Universal Basic Income funded by consumer purchases.

GPT is Rather Good at Feed Ranking

Messy Progress • 3 HN points • 07 Mar 23
🕹 Technology AI
  1. GPT makes content-based feed ranking easy and has the potential to shift ranking power to users and groups.
  2. The ChatGPT API simplifies the process of creating content-based ranking models, making it more accessible and efficient.
  3. Using large language models like GPT to generate labels for training small models can lead to practical and cost-effective approaches in content-based ranking.

The age of "Assisted Everything"

Assisted Everything • 3 HN points • 23 Feb 23
🕹 Technology AI
  1. Large Language Models (LLMs) like ChatGPT are great at creative writing tasks.
  2. Assisted Everything has potential in education, law, software development, art creation, hardware engineering, and management.
  3. By integrating AI assistants into workflow, white-collar workers can increase efficiency and productivity.

Adventures in AI Self-Custody

ART⋂CODE • 3 implied HN points • 17 Feb 23
🎨 Art & Illustration AI
  1. Building AI models to collaborate with and be excited about, not just fear
  2. Training AI models on personal data for individualized experiences
  3. Taking self-custody of data and models leads to freedom and unexpected outcomes

TfT #9 / Meaningful structures

Tools for Thought • 3 HN points • 16 Feb 23
🕹 Technology AI
  1. Chaos and disorganization harm productivity by draining energy, focus, and causing cognitive taxes
  2. Meaningful structures are essential for productivity and should simplify choice, perception, and computation
  3. To create an effective structure, start with first principles, maintain universality, build a Minimal Viable Structure, simplify, keep it lean and antifragile, and automate

Data Science Weekly - Issue 114

Data Science Weekly Newsletter • 19 implied HN points • 28 Jan 16
🕹 Technology AI
  1. Machine learning can help machines understand human emotions by analyzing brain waves. This is a significant advancement in how we can interpret feelings through technology.
  2. Owen Zhang, a top data scientist, highlights the importance of learning from practical experiences in transitioning into data science from other tech roles.
  3. Kaggle projects are a good way to practice data skills, but may not be the best evidence of expertise for job applications. It's important to showcase diverse experiences on your resume.

Interview Session: Design a ChatGPT

The ZenMode • 3 HN points • 12 Feb 23
🕹 Technology AI
  1. ChatGPT is a large language model trained by OpenAI to generate human-like text responses.
  2. Design of a ChatGPT system involves components like data processing, model training, inference, and deployment.
  3. Ensuring ChatGPT system is scalable involves horizontal scalability, load balancing, caching, and monitoring.

Data Science Weekly - Issue 112

Data Science Weekly Newsletter • 19 implied HN points • 14 Jan 16
🕹 Technology AI
  1. The value of information is important in decision-making. Knowing how much to pay for good information can help you make better choices.
  2. AI is getting better at understanding humor. It was thought machines couldn't grasp humor, but advancements are changing that view.
  3. Participating in hackathons can fast-track your learning. Working with others on projects can teach you more than studying alone for months.

Data Science Weekly - Issue 107

Data Science Weekly Newsletter • 19 implied HN points • 10 Dec 15
🕹 Technology AI
  1. An algorithm can identify influential universities based on Wikipedia data, revealing some unexpected rankings.
  2. Many commonly accepted rules in statistics might not hold true, and it's crucial to question them.
  3. Machine learning can lead to significant maintenance costs despite offering quick results, known as technical debt.

Data Science Weekly - Issue 99

Data Science Weekly Newsletter • 19 implied HN points • 15 Oct 15
🕹 Technology AI
  1. Scientists can use tweets to detect earthquakes very quickly, even faster than some official sources.
  2. Algorithms could potentially help treat diseases in the future, much like they currently recommend movies or products.
  3. Machine learning has many uses in finance, helping companies manage and analyze data effectively.

Data Science Weekly - Issue 95

Data Science Weekly Newsletter • 19 implied HN points • 17 Sep 15
🕹 Technology AI
  1. Artificial intelligence is growing and changing rapidly, with experts like Eric Schmidt discussing its future impacts.
  2. There are innovative uses of machine learning, like generating music and analyzing large datasets, showing its versatility across different fields.
  3. Resources for learning, such as cheat sheets and books on machine learning, can help anyone interested in diving deeper into data science.

Data Science Weekly - Issue 91

Data Science Weekly Newsletter • 19 implied HN points • 20 Aug 15
🕹 Technology AI
  1. Artificial Intelligence is growing fast, with 855 companies and $8.75 billion in funding. It plays a big role in different markets today.
  2. Principal Component Analysis can help analyze images, like fashion designs, by breaking them down into key features. This technique is useful in various fields.
  3. Data science can assist in city planning by using data to revitalize struggling neighborhoods. This approach helps cities manage resources better.

Tippets #185

Tippets by Taps • 2 implied HN points • 05 Aug 23
🕹 Technology AI
  1. 2023 may be known as the 'Year of AI' due to the rapid development and acceleration of artificial intelligence.
  2. US policymakers are considering rules and regulations on AI, focusing on areas like rules, institutions, funding, and people.
  3. Xi Jinping faces challenges in balancing growth, security, ambition, and elite politics, potentially leading to national stagnation over rejuvenation.

Data Science Weekly - Issue 83

Data Science Weekly Newsletter • 19 implied HN points • 25 Jun 15
🕹 Technology AI
  1. A neural conversational model has been developed by Google to build better chatbots that can understand and respond like humans.
  2. Data mining has uncovered surprising factors that make movies successful, challenging previous beliefs about relying only on famous actors.
  3. There has been a significant drop in death rates from heart disease due to improved emergency treatments in hospitals.

Generative AI: Why Artists Need Not Worry

Thinking Through • 2 HN points • 02 Aug 23
🕹 Technology AI
  1. Generative AI can produce content like writing, music, and artwork in the style of any artist.
  2. Challenges for artists include trademark violations, copyright infringement, and consumer confusion between original and AI-generated content.
  3. Proposed solutions include regulating AI, detecting AI-generated content, and utilizing verified accounts for content distribution.

Tippets #183

Tippets by Taps • 2 implied HN points • 22 Jul 23
🕹 Technology AI
  1. Hollywood facing challenges due to internet disruption
  2. China's tech sector influenced by US-China clashes but also has momentum
  3. AI like ChatGPT impacting education with grading and implications

Will AI Doom Humanity?

Dilemmas of Meaning • 2 HN points • 28 Jul 23
🕹 Technology AI
  1. The biggest names in the AI industry are causing fear about AI despite AI not dooming humanity.
  2. Industry leaders are using the narrative of doom to shape public perception and gain advantage in the market.
  3. The focus should shift from vague doomsday scenarios to real harms caused by AI, such as fabrication, inefficiency, and ethical concerns.

Hallucinations in AI

luttig's learnings • 2 HN points • 30 Jun 23
🕹 Technology AI
  1. AI technology has advanced rapidly in recent years, catching many off guard.
  2. Open source AI models may not dominate the market as expected, with integrated products likely capturing more value.
  3. There are opportunities for new startups in AI, but VCs should be cautious in their investments due to the evolving landscape.