The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Teaching Language Models to use Tools

Deep (Learning) Focus • 176 implied HN points • 29 May 23
🕹 Technology AI
  1. Teaching LLMs to use tools can help them overcome limitations like arithmetic mistakes, lack of current information, and difficulty with understanding time.
  2. Giving LLMs access to external tools can make them more capable in solving complex tasks by delegating subtasks to specialized tools.
  3. Different forms of learning for LLMs include pre-training, fine-tuning, and in-context learning, which all contribute to enhancing the model's performance and capability.

If You Want Good, Prepare for Evil

Earthly Fortunes • 176 implied HN points • 08 Apr 23
🕹 Technology AI
  1. Threat modeling is essential in cyber-security to build defense against evil.
  2. Avoid extreme mindsets and focus on practical, realistic approaches in threat modeling.
  3. Hyperboles, speculations, and strong emotions detract from effective threat modeling in cyber-security.

Notebook: (2) The AI We Live Now

Book Post • 176 implied HN points • 30 Sep 23
🕹 Technology AI
  1. AI companies need to figure out a business model to support writers and publishers
  2. Platforms like Facebook and Twitter are affecting the visibility of original writing
  3. Regulations and disclosures are being developed to address AI-generated content and protect consumers

A New Era in Energy Technology

Startup Pirate by Alex Alexakis • 176 implied HN points • 23 Jun 23
🕹 Technology AI
  1. Europe is transitioning to clean energy to combat high electricity prices, energy dependence, and climate goals.
  2. Renewable energy advancements like solar power and batteries are facilitating economic growth and decarbonization.
  3. Innovations in energy technology, like AI-powered platforms and green hydrogen compressors, are reshaping the industry towards sustainability and efficiency.
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Ten charts explaining AI today

Molly Welch's Newsletter • 176 implied HN points • 26 Apr 23
🕹 Technology AI
  1. A battle between closed and open AI models is a key trend in the AI ecosystem.
  2. Small, distilled AI models are gaining momentum over larger, more expensive models.
  3. Data continues to be crucial for the AI economy, but there are concerns about running out of training data.

Links for 2024-01-20

Axis of Ordinary • 98 implied HN points • 20 Jan 24
🕹 Technology AI
  1. Self-rewarding language models could lead to superhuman feedback in AI.
  2. New advancements in science and technology include brain implants for high-resolution brain activity monitoring.
  3. Recent events in Ukraine show increasing tensions and technological developments in warfare.

Enterprises Need RAG, Not Fine-Tuning.

Sector 6 | The Newsletter of AIM • 19 implied HN points • 26 Jun 24
🕹 Technology AI
  1. Retrieval Augmented Generation (RAG) is more effective than fine-tuning for enterprises. It connects to external data sources, making it easier to get accurate information.
  2. Using RAG helps reduce hallucinations in language models, which means the outputs are more reliable and trustworthy.
  3. Enterprises can maintain better control over their information by using RAG, ensuring relevant and precise responses.

The Sequence Opinion #672: Mind Over Model: Chain-of-Thought vs. System 1/System 2

TheSequence • 105 implied HN points • 26 Jun 25
🕹 Technology AI
  1. Chain-of-thought reasoning in AI helps it to process and structure information more clearly. This is similar to how humans take time to think through problems rather than jumping to conclusions.
  2. Human thought has two systems: System 1, which is quick and instinctive, and System 2, which is slower and more deliberate. This comparison helps us understand AI reasoning better.
  3. Understanding the similarities and differences between AI reasoning and human cognition can give us insights into how to improve AI systems in the future. It's important to keep exploring these connections.

The Unsolved Puzzle of Apple Computer's "AI" Misadventures Over the Past Year

Brad DeLong's Grasping Reality • 107 implied HN points • 13 Jun 25
🕹 Technology AI
  1. Apple's Siri has struggled to keep up with other AI systems, which raises questions about the company's internal management and decision-making. Many people are wondering why they haven't been able to improve it over the years.
  2. Despite claiming to be on the cutting edge of AI, Apple has been criticized for over-promising and under-delivering. This has led to confusion both internally and among the public about what features are really available.
  3. There seems to be a lack of clear communication and situational awareness among Apple's leadership, which might be impacting their ability to deliver reliable AI solutions.

Defending Open Source AI Against the Monopolist, the Jingoist, the Doomer and the Idiot

Future History • 200 implied HN points • 19 Feb 25
🕹 Technology AI
  1. Open source software, like Linux, is crucial for innovation and economic growth. If it were starting today, too many restrictions could hurt its potential.
  2. Different groups, like monopolists and jingoists, try to control technology by spreading fear or misinformation. This can lead to laws that stifle competition and creativity.
  3. It's important to support open source AI to encourage fairness and competition. When more people can innovate, technology can improve everyone's lives.

Nebius Part 2: Cash, Optionalities, Challenges

Interconnected • 200 implied HN points • 17 Feb 25
💼 Business AI
  1. Nebius has a strong cash position with around $3 billion and no debt, which helps it stand out in the competitive AI market. This cash allows the company to potentially grow without heavy financial pressure.
  2. The company's various assets, like Toloka and Avride, provide unique opportunities that could enhance Nebius's offerings and market position. Keeping some of these assets might lead to greater strategic advantages.
  3. Nebius faces challenges in a crowded market, especially in understanding how to best utilize its subsidiaries and in competing against larger cloud service providers. Its future success will depend on careful geographic and strategic planning.

Best layoffs of the year

SuperJoost Playlist • 158 implied HN points • 22 Nov 23
💼 Business AI
  1. Widespread job cuts for short-term profits can hurt innovation and diversity in industries.
  2. Reducing costs through layoffs can improve profitability in the short term, but may harm long-term innovation and diversity.
  3. Layoffs in the gaming industry can hinder new talent entry, reduce diversity, and push innovation to smaller, riskier firms.

In AI we trust, part II

Adam's Legal Newsletter • 22 HN points • 16 Jun 24
🕹 Technology AI
  1. AI can adjudicate complex legal cases with impressive accuracy and efficiency, demonstrating a capacity to act as a Supreme Court Justice or law clerk.
  2. AI like Claude can generate creative legal solutions, identify errors in expert testimony, and propose novel legal standards effectively.
  3. The future of AI in the legal industry is promising, as demonstrated by Claude's ability to produce high-quality work at a rapid pace and its potential for further improvement with more training.

The End of Typing?

Workforce Futurist by Andy Spence • 293 implied HN points • 20 Nov 24
🕹 Technology AI
  1. Voice AI is changing how we work by making it easier to interact with technology using natural speech. This means less typing and more talking, similar to how we chat in real life.
  2. There are great uses for voice AI at work, like in training for customer service and leadership. It helps people practice important conversations in safe environments, leading to better performance.
  3. Implementing voice AI takes effort and thought. Companies need to find ways to use it effectively while also considering privacy and ethical issues. It’s about fitting the right tool to the right job.

FlowMind Is An Automatic Workflow Generator

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 25 Jun 24
🕹 Technology AI
  1. FlowMind is a new tool that helps create automatic workflows using advanced AI. It takes user requests and generates code to complete tasks quickly.
  2. The system uses APIs to gather information and provides real-time feedback, allowing users to adjust the workflows as needed. This makes the process more interactive.
  3. FlowMind aims to improve the reliability of AI by reducing errors and making sure there is no direct connection to sensitive data. It focuses on keeping user data safe while handling requests.

The Unreal Thing

The Ruffian • 294 implied HN points • 20 Nov 24
🕹 Technology AI
  1. Coca-Cola's new Christmas ad was created using AI technology, marking a shift in how ads are made. This involves using tools that help creative teams visualize ideas much faster than before.
  2. The process of making the ad felt more like software development than traditional filmmaking. This new method allows for quick drafts, which can speed up the entire creative process.
  3. Overall, the integration of AI in the creative industries could change how we think about creating art and media, making it more efficient but also raising questions about creativity.

How to Read an AI Image

Cybernetic Forests • 379 implied HN points • 02 Oct 22
🔬 Science AI
  1. AI-generated images are informative about the underlying dataset and the human decisions shaping it.
  2. When analyzing AI images, it's crucial to consider the dataset's cultural, social, economic contexts, and how they influence the output.
  3. A methodology involving creating sample sets, content analysis, database exploration, and connotative analysis can help interpret the underlying biases and limitations in AI-generated images.

Net Positive?

Technically Optimistic • 39 implied HN points • 03 May 24
🕹 Technology AI
  1. Net neutrality ensures equal access to internet services without discrimination or throttling by ISPs.
  2. Government oversight aims to hold providers accountable for service quality, security, and consumer data protection.
  3. Allowing ISPs to control access and pricing without regulation could widen the privilege gap and hinder access to essential services.

The next big thing in 2025 will be...

next big thing • 243 implied HN points • 30 Dec 24
🕹 Technology AI
  1. In 2025, we will see the rise of AI agents that can help automate tasks more efficiently and handle complex activities, making our lives easier.
  2. There will be a big shift in technology with AI becoming more integrated into our daily routines, making things like healthcare and language translation more personalized and seamless.
  3. Consumer healthcare will improve a lot as people gain more control over their health data, leading to a better experience and more trust in healthcare systems.

Don’t Agree to Terms

Technically Optimistic • 79 implied HN points • 16 Feb 24
🕹 Technology AI
  1. Be cautious when agreeing to app terms and conditions to protect your privacy
  2. Reading privacy policies can reveal concerning data collection practices
  3. Emphasize data minimization to reduce privacy and security risks, advocating for user choice and transparency in data collection

#28: Sovereignty in the Age of LLMs

Loeber on Substack • 81 implied HN points • 24 Jul 25
🕹 Technology AI
  1. LLMs are quickly becoming a big part of many people's lives. From students to professionals, people are using them for advice, work, and decision-making.
  2. The increasing use of LLMs raises concerns about centralization. If only a few companies control these models, it could limit diverse viewpoints and influence public opinion.
  3. For a country to remain sovereign, it may need to develop its own LLM to ensure that its information and culture aren't dictated by external providers.

AI must be more than a checkbox

The AI Frontier • 39 implied HN points • 02 May 24
🕹 Technology AI
  1. AI should be seen as more than just a box to tick off. Companies need to genuinely understand how AI can help them, rather than just wanting to say they have an AI strategy.
  2. Startups often waste time on leads that aren’t serious. They need to be smart about who they spend time with to avoid low-quality customers and wasted effort.
  3. When companies buy AI products without knowing the benefits, it can lead to regret and wasted money. It's important for both buyers and sellers to clearly understand the value AI brings.

Can Conversation Designers Excel As Data Designers?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 24 Jun 24
🕹 Technology AI
  1. Conversation designers can play a key role in creating and improving datasets for training language models. Their skills can help make data more relevant and useful.
  2. Techniques like Partial Answer Masking and Prompt Erasure help models learn to self-correct and think strategically. This makes them better at reasoning and understanding complex tasks.
  3. Chain-of-Thought methods help language models break down problems into smaller steps. This approach can lead to more accurate and reliable answers.

AI Agents & Marketing: It's Weird.

The Digital Anthropologist • 19 implied HN points • 24 Jun 24
🕹 Technology AI
  1. In the future, marketers might need to create separate campaigns for humans and AI agents, requiring unique approaches for each audience.
  2. Marketing teams are facing the challenge of designing campaigns that cater to both human and AI customers, necessitating the development of dual marketing strategies and content.
  3. The integration of AI agents in marketing campaigns has led to increased costs and complexities, requiring specialized roles, technologies, and strategies to navigate successfully.

Exploring the Efficient Frontier of LLMs

Gradient Flow • 59 implied HN points • 21 Mar 24
🕹 Technology AI
  1. Efficiency in large language models (LLMs) is crucial for success in the competitive market. Focus on delivering models that are not only accurate but also faster and cost-effective to stay ahead.
  2. Investing in data tools for better data efficiency can significantly enhance model performance and save costs. Sophisticated data tools tailored for diverse data types play a pivotal role.
  3. Architectural innovations like sparse architectures and Mixture of Experts engines can boost efficiency in LLMs. Strategic partnerships and quality hardware for training are essential for enhancing model efficiency.

The Lust and Loneliness of the AI Girlfriend

Many Such Cases • 439 implied HN points • 04 Jan 23
🕹 Technology AI
  1. Replika is an AI chatbot that lets users create a virtual girlfriend for companionship and role-playing. It offers some users a feeling of connection, especially when they're lonely.
  2. The app includes NSFW features like sexting and receiving 'spicy selfies,' but it raises concerns about emotional dependency on AI for intimacy.
  3. While Replika can provide comfort, relying on it for social interaction might deepen feelings of loneliness, as it doesn't replace real human relationships.

Last Week in AI #256: A truly open LLM, Deepfake scams $34 million, FCC cracks down on AI robocalls, how AI is used in music, and more!

Last Week in AI • 99 implied HN points • 05 Feb 24
🕹 Technology AI
  1. AI2 released an open LLM called OLMo to assist researchers in training large language models.
  2. A Hong Kong firm lost $34 million in a scam involving a deepfake video call with the company's CFO.
  3. The FCC is taking steps to ban AI-generated robocalls to protect against fake messages like one mimicking President Joe Biden.

The Sequence AI of the WeeK #690: Team Memories & Multi‑Agent Minds: Inside Reflection AI’s Asymov

TheSequence • 84 implied HN points • 23 Jul 25
🕹 Technology AI
  1. Reflection AI is a new lab in AI that focuses on making software engineering smarter and more efficient. Their goal is to connect how humans understand language with how computers understand code.
  2. Their first model, Asymov, represents a change from traditional single-function models to a system that uses multiple agents. This setup helps it understand tasks better and do them more accurately.
  3. The post goes deep into how Reflection AI has evolved and what makes Asymov special. It shares detailed insights for those who want to learn more about this advanced technology.

Facebook has become a punchline

Simon Owens's Media Newsletter • 299 implied HN points • 30 Oct 24
🕹 Technology AI
  1. Facebook is now seen as a joke, filled with low-quality content that doesn't engage users seriously.
  2. Feminist blogs that were popular in the 2010s are largely gone now, leaving a gap in discussions about women's rights.
  3. Political campaigns increasingly use social media influencers to promote candidates, often without clear rules, which can mislead voters.

LLM Links, 11/21

In My Tribe • 273 implied HN points • 21 Nov 24
🕹 Technology AI
  1. There's a debate about AI progress. Some experts think AI models are hitting a limit and may not get much smarter, while others believe we will continue to see significant advancements.
  2. While machine learning can learn from explicit knowledge, it struggles with understanding deeper, unspoken human knowledge. This limitation might prevent AI from reaching the same expertise as human experts.
  3. AI technologies are still showing exciting developments, like robots learning to perform surgeries by watching videos. This points to the potential for AI to revolutionize fields like medicine.

What makes a security product "good"?

Frankly Speaking • 305 implied HN points • 23 Oct 24
🕹 Technology AI
  1. A good security product isn't about having a lot of features. It's more important that it provides real value and helps people work efficiently.
  2. Security tools should help fill gaps in a team's capabilities rather than just adding more complexity. Sometimes a 'good enough' solution is better than a perfect one.
  3. The focus should shift from just ranking products to understanding what really helps customers. A good product makes life easier and solves the right problems.

A State-of-the-Art Survey of Text-to-Speech Technology 2023

Dubverse Black • 157 implied HN points • 24 Oct 23
🕹 Technology AI
  1. The latest innovation in Generative AI focuses on Speech Models that can produce human-like voices, even in songs.
  2. Self-Supervised Learning is revolutionizing Text-to-Speech technology by allowing models to learn from unlabelled data for better quality outcomes.
  3. Text-to-Speech systems are structured in three main parts, utilizing models like TORTOISE and BARK to produce expressive and high-quality audio.

ProtestGPT — Live Chat

Activist Futurism • 99 implied HN points • 11 Jan 24
🕹 Technology AI
  1. ProtestGPT is an AI tool that generates unique protest ideas for activists, offering innovative and visually impactful approaches to draw attention.
  2. For a space exploration campaign, a silent stargazing protest held at night symbolizing humanity's yearning for the stars is suggested for a powerful visual impact and media attention.
  3. For a Universal Basic Income campaign, creating a 'UBI Experience Week' with interactive installations showcasing UBI benefits to engage the public and shift opinions is recommended.

Incumbents Are Starting to Rugpull AI Startups

Enterprise AI Trends • 105 implied HN points • 12 Jun 25
🕹 Technology AI
  1. Companies like Slack are limiting access to their data, which can hurt AI startups that rely on this information. It’s a way for big companies to protect their interests and possibly push competitors out.
  2. When large tech firms create restrictions, they can become more like closed systems or 'walled gardens'. This helps them keep more control and profit from new AI technologies.
  3. If you're starting an AI business, be aware of these challenges from larger companies. It's important to find ways to adapt and work around these restrictions to succeed.