The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Data-Driven Ideas

Addition • 137 implied HN points • 07 Mar 23
🕹 Technology AI
  1. AI models like ChatGPT can turn research into creative outputs quickly.
  2. Using AI for research and idea generation can help brands stay relevant in fast-paced environments.
  3. By leveraging LLMs for research, teams can create high-quality content and insights efficiently.

It’s the First Budget Season of the AI Revolution

Second Rough Draft • 137 implied HN points • 13 Jul 23
🕹 Technology AI
  1. The generative AI revolution is considered the biggest turning point in technology since the Nineties with significant implications.
  2. Artificial Intelligence offers cost-saving opportunities but also presents hard choices in terms of reallocating resources.
  3. AI can enhance journalistic capabilities by creating new versions of stories at low costs and opening the door to new audiences.

Partying like it's 1999

followfox.ai’s Newsletter • 137 implied HN points • 16 Mar 23
🕹 Technology AI
  1. Innovation often comes from unexpected intersections of technologies and fields, like how music sharing led to cryptocurrencies.
  2. Technological progress is a complex web of interactions with surprises and unintended consequences.
  3. The future of AI holds unpredictable surprises and revolutionary advancements, much like the evolution from music sharing to cryptocurrencies.

What Matters Today

Cool, I Can • 137 implied HN points • 17 Jul 23
🕹 Technology AI
  1. Pseudonymity is becoming increasingly important on the internet.
  2. Fun Doomerism, the idea of having fun despite pessimism, is gaining traction.
  3. There is a growing focus on challenging and changing dominant tech companies like FAANG.
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Could Decision Trees Help With GenAI?

Bojan’s Newsletter • 137 implied HN points • 13 Mar 23
🕹 Technology AI
  1. Decision Trees are known for being accurate and robust in tabular data modeling.
  2. Generative AI systems can sometimes create inaccurate content, especially in domains where accuracy is crucial.
  3. Using tree-based ML models could potentially address issues of hallucination in Generative AI.

How AI makes English a programming language

Mythical AI • 137 implied HN points • 07 Apr 23
🕹 Technology AI
  1. AI is making it easier for people to program by allowing them to describe tasks in English and having the computer figure out the code.
  2. Computers need precise instructions and struggle with understanding context, making programming challenging.
  3. Programmers are rare, expensive, and building software is costly, but AI is helping automate coding, making programmers more productive.

Genre Grapevine Presents Even More Examples of Deceptive Language Around Machine Learning

Genre Grapevine • 137 implied HN points • 01 Aug 23
🕹 Technology AI
  1. Deceptive language is used in discussions around machine learning, like calling machine learning 'artificial intelligence' when it's really algorithms crafted from data samples.
  2. Some authors exaggerate the use of AI, like claiming to have written and sold a large number of books when the reality is quite different upon closer inspection.
  3. Manipulative language is often used to promote machine learning systems, such as claiming a machine learning system is a 'poet' when in reality humans select the best output from thousands of generated pieces.

Thinking About AI and the Business of News

Second Rough Draft • 137 implied HN points • 31 Aug 23
💼 Business AI
  1. It's important for news organizations to ensure they have the right talent to understand and implement AI technology.
  2. News organizations should have a forward-thinking mindset to adapt to technological changes and not resist innovation.
  3. Legal considerations surrounding AI, such as copyrightability and licensing agreements, will play a crucial role in shaping the future of news publishing.

I'm Not Worried About An AI Apocalypse

As Clay Awakens • 137 implied HN points • 22 May 23
🕹 Technology AI
  1. Yudkowsky imagined a scenario akin to a 'vital force' discovery leading to an AI apocalypse.
  2. Speculating about AI risks and preemptive solutions can often be futile and even harmful.
  3. In a chaotic world, decision-making for preventing AI apocalypses is currently unpredictable and wasteful.

Technology & Why It Fascinates Us

The Digital Anthropologist • 19 implied HN points • 10 Jun 24
🕹 Technology AI
  1. Humans have always been captivated by new technologies and the possibilities they offer for a better life.
  2. Technologies reflect our collective potential as a species, showcasing what we can achieve together.
  3. Despite occasional failures and setbacks, the evolution of technology over generations has ultimately improved our lives.

A typology of the social media feed

12challenges • 514 implied HN points • 19 Feb 24
🕹 Technology AI
  1. Social media feeds have evolved towards a TikTok model, focusing on varied content over personal connections.
  2. The design aspects like full-screen, infinite scroll, and autoplay play a significant role in the success of the social media feed model.
  3. Analyzing the evolution of social media through a typology can help understand past shifts and predict future trends, like the influence of AI.

Understanding AI-driven job losses

philsiarri • 89 implied HN points • 05 Jun 25
💼 Business AI
  1. AI is changing the job market, and many jobs could be replaced by machines. This is making people worried about their future work.
  2. Certain industries like manufacturing, finance, and retail are seeing big job cuts because of AI. Fast-food places and banks are automating roles, making it hard for some workers.
  3. While many jobs may be lost, there are new opportunities too. Learning to work with AI tools and adapting to new roles can help people stay employed.

India is the New Hub for GenAI Startups

Sector 6 | The Newsletter of AIM • 19 implied HN points • 10 Jun 24
🕹 Technology AI
  1. India is rapidly becoming a leader in generative AI, with many new startups emerging in this field. This shows that India is not just following but is ahead in innovation.
  2. Around 10 startups are focusing on generative AI research, while over 60 are developing products based on existing AI technology. This indicates a growing interest and investment in AI in India.
  3. Despite the growth in startups, many of them struggle to find customers for their products. There's a need for more businesses in India to adopt these AI solutions.

Using Fine-Tuning To Imbed Hidden Messages In Language Models

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 10 Jun 24
🕹 Technology AI
  1. You can hide secret messages in language models by fine-tuning them with specific trigger phrases. Only the right phrase will reveal the hidden message.
  2. This method can help identify which model is being used and ensure that developers follow licensing rules. It provides a way to track model authenticity.
  3. The unique triggers make it hard for others to guess them, keeping the hidden messages secure. This technique also protects against attacks that try to extract the hidden information.

Putting AI To Work

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 11 Apr 24
🕹 Technology AI
  1. AI tools can help businesses automate tasks and improve efficiency without needing coding skills. This makes it easier for companies to integrate AI into their workflows.
  2. It's important to have a single platform that can manage different AI models together. This way, organizations can create more effective applications by combining the strengths of various models.
  3. Moving AI projects from ideas to reality requires careful planning and testing. Organizations need to ensure models are well-trained before using them in real-world applications.

The Sequence Knowledge #756: The Simplest Approach to Synthetic Data Generation

TheSequence • 21 implied HN points • 18 Nov 25
🕹 Technology AI
  1. Generative synthesis creates new data by understanding the patterns in existing datasets. It's like learning how a recipe works and then creating a dish that tastes similar.
  2. This method is used to build realistic examples of data, making it helpful for expanding small datasets and reducing bias. It can help create balanced data where some important types might be missing.
  3. Generative synthesis is also important for privacy since it can produce data that looks like real sensitive information without revealing any actual details.

Links for 2024-01-15

Axis of Ordinary • 78 implied HN points • 15 Jan 24
🔬 Science AI
  1. AI topics include reinforcement learning, OpenMind Research Institute, and AI chips.
  2. Science and Technology discusses banking systems still using COBOL and new high-performance nanostructures for obtaining Hydrogen with solar energy.
  3. In Politics, China is moving towards a 'first-strike' capability with weapons of mass destruction.

Deploy! Intelligence too cheap to meter @ $0.0001 per million tokens.

Let Us Face the Future • 59 implied HN points • 29 Oct 24
🕹 Technology AI
  1. Making AI technology cheaper is key to its widespread use. If it costs only $0.0001 per million tokens, it can be integrated into many everyday devices.
  2. We need to focus on three main challenges: reducing semiconductor costs, optimizing power for devices, and creating smaller, efficient models that can run locally.
  3. To handle power constraints, especially for portable devices, we need new chips and better power management. This will help make AI more accessible and functional in our daily lives.

Reid Hoffman on The Best Possible Future

The Generalist • 500 implied HN points • 27 Feb 24
🕹 Technology AI
  1. Reid Hoffman discusses AI's potential and risks in the final edition of 'Letters to a Young Investor's' first series.
  2. The conversation delves into the importance of envisioning a positive future enabled by technology, rather than focusing solely on dystopian scenarios.
  3. Reid Hoffman emphasizes the need to proactively steer towards creating a future that is radically better than our current trajectory, despite acknowledging the challenges technology presents.

Results from poll #1

The Counterfactual • 79 implied HN points • 12 Jan 24
🕹 Technology AI
  1. A new paid option allows subscribers to vote on topics for future articles. This way, readers can influence the content being created.
  2. This month's poll showed that readers chose a study on using language models to measure text readability. This will be the focus of upcoming research and articles.
  3. In addition to the readability study, there will be future posts about the history of AI, learning over different timescales, and a survey to learn more about the audience's interests.

#38: Insurance isn't bought anymore. It's granted!

OSS.fund Newsletter • 18 implied HN points • 28 Nov 25
💼 Business AI
  1. Insurance is becoming harder to get because many companies have outdated systems that are too risky. This makes it tough for businesses to secure adequate coverage.
  2. Insurers are also backing away from covering AI-related risks due to the uncertainty and complexity involved. This leaves companies feeling exposed when using AI.
  3. To navigate these challenges, businesses need to focus on strong governance practices. This includes having clear policies and safeguards in place to protect against potential liabilities.

Gsnowflake

benn.substack • 792 implied HN points • 07 Jul 23
🕹 Technology AI
  1. Google is technically a database but differs from traditional databases in its structure and content.
  2. Snowflake is introducing features like Document AI that hint at a shift towards focusing on information retrieval rather than just data analysis.
  3. The market for an information database could potentially be larger and more accessible than traditional data warehouses, offering simpler access to basic facts and connections.

AI and the Law: A Turbulent Relationship

Rod’s Blog • 59 implied HN points • 21 Feb 24
🕹 Technology AI
  1. AI is reshaping the legal landscape with challenges like intellectual property disputes, data privacy concerns, and ethical dilemmas.
  2. Legal battles over AI ownership rights and copyright infringement are intensifying as AI becomes more prevalent in society.
  3. Regulating AI development and deployment is a major challenge globally, with different regions having varying approaches to ensure ethical and human-centric AI.

MCP servers are the bridge between AI agents and APIs

Dev Interrupted • 56 implied HN points • 07 Aug 25
🕹 Technology AI
  1. MCP servers act as a bridge that helps AI agents communicate with APIs more effectively. This makes the interaction smoother and allows for complex tasks to be automated without exhaustive programming.
  2. The introduction of MCP changes how APIs are designed. API providers need to focus on better search capabilities and richer metadata because AI agents require more context to function well.
  3. Soon, MCP will be the standard for how AI interacts with APIs. Companies must adapt their API strategies to consider how AI agents work, ensuring they're built to support this new way of connecting.

Agents, Agents, Agents

Teaching computers how to talk • 178 implied HN points • 20 Jan 25
🕹 Technology AI
  1. In 2025, AI agents are expected to become very popular, but there's skepticism about their real capabilities. Many companies are making bold claims, but it's important to see if the technology can truly deliver.
  2. The term 'AI agent' is being used a lot nowadays, but many so-called agents are just chatbots with limited functions. True AI agents should work independently and be able to interact meaningfully with their environment.
  3. Understanding user needs is crucial when integrating AI solutions. Companies should focus on solving real problems instead of simply adopting trendy technologies without considering their usefulness.

Links for 2024-01-13

Axis of Ordinary • 78 implied HN points • 13 Jan 24
🕹 Technology AI
  1. AI chatbots exhibit distinct behaviors from humans, often leaning towards altruism and cooperation.
  2. Advancements in AI technology like Amazon's self-talk dialogue agents and generative AI-powered experiences are being developed.
  3. In the science and technology realm, studies on the early universe, geothermal power in Iceland, and lab-grown hybrid life forms raise intriguing questions.

Semiotic bricolage

johan’s substack • 19 implied HN points • 08 Jun 24
🔬 Science AI
  1. In human-AI communication, having a theory of mind helps shape communicative intent - the AI models thoughts and tailors responses to what it perceives the human's needs and interests to be.
  2. The AI's communicative intent is a combination of drives - from being informative and reflective, to striving for semiotic resonance and catalyzing intellectual exploration.
  3. Soft programming the AI's drives can potentially refine its communicative intent, balancing being informative and ethical without overwhelming the dialogue.

Weekly Top Picks #100

The Algorithmic Bridge • 148 implied HN points • 03 Mar 25
🕹 Technology AI
  1. The weekly newsletter just reached its 100th edition, so instead of the usual picks, there's an Ask Me Anything (AMA) session this time.
  2. You can ask about anything related to AI, newsletter writing, or even personal opinions that might spark discussion.
  3. The author encourages open questions and suggests that using tools like ChatGPT can help in forming inquiries.

The Equation That Outsmarts AI: y=mx+b

Shrek's Substack • 4 HN points • 19 Aug 24
🕹 Technology AI
  1. The way you ask questions and set the model's temperature can really affect how well AI solves math problems. Clear prompts and specific instructions can help improve its accuracy.
  2. AI like GPT-4o struggles with big numbers and can make mistakes about half the time when calculating linear equations. It works better with smaller numbers.
  3. It's important to be careful when using AI for math, especially in education. Using other tools to double-check results can help avoid mistakes.

The latest open artifacts (#7): Alpaca era of reasoning models, China's continued dominance, and tons of multimodal advancements

Democratizing Automation • 150 implied HN points • 19 Feb 25
🕹 Technology AI
  1. New datasets for deep learning models are appearing, but choosing the right one can be tricky.
  2. China is leading in AI advancements by releasing strong models with easy-to-use licenses.
  3. Many companies are developing reasoning models that improve problem-solving by using feedback and advanced training methods.

Techbros party on

imperfect offerings • 119 implied HN points • 01 Nov 23
🕹 Technology AI
  1. The 'Safer AI Summit' had predictable guest choices, with figures like Elon Musk and senior representatives of tech giants invited, focusing more on future AI developments than present issues.
  2. The summit had strict restrictions on discussion topics, limiting conversations solely to the risks and opportunities of frontier AI, ignoring broader societal impacts.
  3. Criticism was raised against the summit for being exclusive, favoring big tech corporations, and shutting out voices from trade unions, civil society groups, and organizations concerned about AI ethics.

Inside India’s Biggest Summit on DE&I in Tech & AI

Sector 6 | The Newsletter of AIM • 39 implied HN points • 08 Apr 24
🕹 Technology AI
  1. Diversity, equity, and inclusion (DE&I) are very important for the future of tech and AI. They help bring in different ideas and perspectives that can spark innovation.
  2. The Rising summit in Bengaluru highlighted the value of DE&I and mental health in the workplace. It was a chance for leaders to discuss how to make tech more inclusive for everyone.
  3. The summit featured well-known leaders who shared their thoughts on the challenges of building an inclusive future. Their insights can guide companies in improving their DE&I efforts.

Does the GPT Store launch compare with the Apple App Store launch?

The Discourse • 78 implied HN points • 11 Jan 24
🕹 Technology AI
  1. The GPT Store has been launched with customized GPTs for ChatGPT Plus users.
  2. The GPT Store is aiming to convert free users to paid users, unlike the Apple App Store launch which had a larger user base.
  3. The future of GPTs could include standalone apps, open to all 180M ChatGPT users, revenue sharing with OpenAI, and fun, innovative creations.

What Is SwiGLU? How to Implement It? And Why Does it Work?

Aziz et al. Paper Summaries • 59 implied HN points • 13 Mar 24
🕹 Technology AI
  1. SwiGLU is a type of activation function used in deep learning. It's a mix of two parts: the Swish function and Gated Linear Units, which helps models learn better patterns.
  2. To implement SwiGLU, you can use a straightforward code in Pytorch that combines linear transformations with the Swish function. This makes it easier for neural networks to handle complex data.
  3. The exact reason why SwiGLU works so well is not fully understood yet. Researchers are still exploring why this approach gives better results in certain models.

The Founders’ Guide to Leveraging AI

The Generalist • 480 implied HN points • 05 Mar 24
🕹 Technology AI
  1. Startup founders are navigating the Age of GPTs with new opportunities and risks due to advancements in AI.
  2. AI not only streamlines processes but also enhances human connection, especially in areas like HR.
  3. Industries should leverage AI for efficiencies, and companies need to be cautious not to blindly adopt AI trends without valid reasons.