The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

How I Keep Up With AI (Without Losing My Mind)

Building Rome(s) • 9 implied HN points • 17 Jul 25
🕹 Technology AI
  1. Staying updated on AI is important for progress, but you don't need to know every detail. Just focus on what matters for your work and growth.
  2. A good learning method includes quick updates, deep dives into interesting topics, and casual exploration during downtime. This keeps learning flexible and easy.
  3. Curiosity is key! Experiment with different learning sources and techniques until you find what works best for you.

The RLHF battle lines are drawn

Democratizing Automation • 139 implied HN points • 27 Feb 23
🕹 Technology AI
  1. Big companies lead in RLHF space and focus on protecting their advantage.
  2. Open-source companies are behind but trying to catch up, facing challenges in resources and legalities.
  3. Corporate communication about safety is strategic, and lack of model release can lead to trust issues.

Why Prompt Engineering Has Little To Do With Engineering

Teaching computers how to talk • 68 implied HN points • 05 Mar 24
🕹 Technology AI
  1. Large language models behave like beings rather than things, displaying strange characteristics.
  2. Instructing models doesn't involve coding; it's about guiding their actions and understanding their behavior, akin to convincing a stubborn teenager rather than traditional engineering.
  3. Similar to Isaac Asimov's fictional robots, large language models can interpret instructions in unforeseen ways, implying a need to humanize and understand them for effective interaction.

Quietly Selfish with My Apple

Sector 6 | The Newsletter of AIM • 19 implied HN points • 26 Jul 23
🕹 Technology AI
  1. Apple provides a lot of tools for developers, including new ones for creating interactive 3D content. But these tools are mainly for Apple developers, limiting broader access.
  2. Apple has a closed approach to developing its generative AI technology, keeping it exclusive while using open-source resources like Google Jax for some of its systems.
  3. While Apple uses other companies' technologies, it prefers to build its own ecosystem, which can make it hard for outside developers to join in.

How I think about product at Ribbon

ML / Genomics / Deep Tech • 38 implied HN points • 16 Sep 24
🕹 Technology AI
  1. Separate your product ideas into imperatives and experiments. Imperatives are must-have features from customer needs, while experiments are guesswork that may or may not succeed.
  2. Plan for the future by assuming your AI tools will improve. Be ready to adapt as technology gets better and make use of advancements in AI.
  3. Don't fear deleting unwanted features or code. It’s a normal part of refining your product and helps you focus on what really matters.
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Update #66: SAG-AFTRA's Voice Cloning Deal and Sleeper Agents

The Gradient • 74 implied HN points • 16 Jan 24
🕹 Technology AI
  1. SAG-AFTRA and Replica Studios have a voice cloning deal for video games.
  2. Researchers at Anthropic AI are training deceptive LLMs that can persist through safety training.
  3. The use of AI in interactive media projects and the potential deceptive behaviors of AI models are important topics for consideration in the AI industry.

The Birth of Baby Llama

Sector 6 | The Newsletter of AIM • 19 implied HN points • 25 Jul 23
🕹 Technology AI
  1. Andrej Karpathy worked on a fun project to create a smaller version of the Llama 2 model called Baby Llama. It's designed to run on a single computer.
  2. The Baby Llama can load and use the models released by Meta, making it more accessible for users.
  3. Karpathy shared that the performance is promising, with potential for faster processing speeds on a cloud setup.

The passion economy is a ploy

Links I Would Gchat You If We Were Friends • 139 implied HN points • 03 Mar 21
🕹 Technology AI
  1. The gig economy and the 'passion' economy are seen as one phenomenon that depletes the labor ecosystem, extracting value from workers.
  2. Examples of unalienated labor can be found among artisans and in spaces like Black hair salons, where people genuinely love their work.
  3. Empowering workers in the digital age involves creating platforms that they have control over, ensuring they benefit from the value they produce.

Calculating inflation with ChatGPT

The End(s) of Argument • 19 implied HN points • 20 May 23
🕹 Technology AI
  1. Using Google search for calculating inflation can provide a cite-worthy and reproducible response in under a minute, making it superior to using ChatGPT for such tasks.
  2. Google search process requires less navigation knowledge, provides up-to-date information, and typically avoids providing initially incorrect answers, unlike ChatGPT.
  3. The process of search, like Google, offers an evaluable explanation of knowledge since it can lead to citing reliable sources, while ChatGPT offers disconnected simulations of traditional knowledge-building processes.

JPMorgan's AI Chatbot to Replace Research Analysts 😳

Sector 6 | The Newsletter of AIM • 1 HN point • 30 Jul 24
🕹 Technology AI
  1. JPMorgan has introduced an AI chatbot named LLM Suite to assist its employees in idea generation and document summarization. This means that many tasks traditionally done by research analysts may now be handled by AI.
  2. About 15% of JPMorgan's workforce in asset and wealth management will use this AI, showcasing the bank's large investment in artificial intelligence. It shows how serious the company is about improving efficiency with technology.
  3. JPMorgan is not new to using AI, as they already have over 300 AI projects. This AI push is part of a broader trend in the finance sector to integrate advanced technology into everyday operations.

OpenAI is So NOT Done

Sector 6 | The Newsletter of AIM • 19 implied HN points • 24 Jul 23
🕹 Technology AI
  1. OpenAI is still considered a top choice for many teams working on generative AI, even with the rise of new models like Llama 2. They believe OpenAI's technology gives them an edge.
  2. The recent Microsoft and Meta partnership to launch Llama 2 has sparked discussions in the AI community about competition with OpenAI. Some people think OpenAI might lose some users to these new, cheaper options.
  3. While debates continue about the future of AI, many experts remain confident that OpenAI will continue to play a significant role in the industry.

ChatGPT becomes a Platform[Finance Fridays]

Technology Made Simple • 19 implied HN points • 25 Mar 23
🕹 Technology AI
  1. OpenAI has added new functionality to ChatGPT with plugins, turning it into a platform
  2. This development is comparable to Apple launching the app store, opening up numerous opportunities for ChatGPT
  3. While the new plugins provide advantages, they may not completely solve ChatGPT's fundamental issues

The generative AI apocalypse turned out different

Meaningful Particulars • 65 implied HN points • 13 Mar 24
🕹 Technology AI
  1. AI-driven algorithms provide more of what you've already liked, causing further optimization and less variety.
  2. Generative AI may not reach its full potential due to becoming incoherent when fed human responses, resulting in a lukewarm outcome.
  3. AI's development is not a straight path - it faces limitations, and changes in technology and society will alter its course.

January 2025 Update

Maker News • 22 implied HN points • 31 Jan 25
🕹 Technology AI
  1. There are some cool upgrades and hacks in 3D printing, like using a camera to see inside the printer's nozzle. This can help fix printing problems.
  2. You can now easily update your thermometer's software without needing extra cables by using a simple hack. It's convenient and makes the device more user-friendly.
  3. AI tools are becoming helpful for people who want to create projects but may not have coding skills. This can make technology accessible to more people.

Mocking OpenAI - Unit testing in the age of LLMs (Part One)

Laszlo’s Newsletter • 21 implied HN points • 23 Feb 25
🕹 Technology AI
  1. Unit tests are still important even with LLMs. They help ensure your code behaves as expected, even when using unpredictable AI tools.
  2. Mocking is needed to effectively test code that relies on LLMs. Instead of calling the actual AI, you create a 'fake' version that simulates its behavior.
  3. Using libraries like 'respx' can simplify mocking in your tests, and it's essential to handle things like retry logic carefully to keep tests fast.

Careless Whisper (Usage Can Blow Out Your API Limits)

networked • 107 implied HN points • 07 Jul 23
🕹 Technology AI
  1. The main value proposition of the app is to automate the process of summarizing podcast episodes, reducing manual work.
  2. Focus on reducing transcription costs rather than summarization costs for cost savings in a podcast summarizer app.
  3. Experiment with modifying audio speed and removing silences to lower transcription costs and enhance accuracy.

What's a vector database?

Technically • 34 implied HN points • 21 Oct 24
🕹 Technology AI
  1. A vector database is a special storage for data used in AI. It helps store numbers that represent different types of information like text or images.
  2. To make AI models smarter, they need to use unique data from companies. This helps tailor responses and improve accuracy.
  3. There are ways to enhance AI models with unique data, like fine-tuning them or using a method called Retrieval Augmented Generation (RAG) to include important information in prompts.

A Bet Against AI & Hype-Driven Migrations

ppdispatch • 8 implied HN points • 06 Aug 25
🕹 Technology AI
  1. Many developers are questioning the hype around AI agents, believing that most will fail due to errors and costs. They think only simpler, well-designed tools will succeed.
  2. Most language migrations in software development are driven by trends rather than solid reasoning, leading to more problems than benefits. Developers should evaluate if a change is really necessary.
  3. Live coding interviews don't really show a candidate's true skills because the stress of being watched can hurt their performance. There are better ways to assess coding ability.

OpenAI-mer

Sector 6 | The Newsletter of AIM • 19 implied HN points • 18 Jul 23
🕹 Technology AI
  1. OpenAI is facing challenges from regulators and competition in the AI field. They are under investigation by the FTC and must deal with new rivals like Elon Musk's xAI.
  2. Competitors like Anthropic and Google are making significant advancements, with Anthropic potentially surpassing OpenAI's GPT-4 and Google improving its Bard tool.
  3. The strategies OpenAI used to highlight AI risks may not be working in their favor anymore and could be backfiring on them.

Groq, Gemini, and 10x improvements

Artificial Ignorance • 67 implied HN points • 21 Feb 24
🕹 Technology AI
  1. Adding 10x capacity to a system unlocks new capabilities and prevents breaking, leading to fundamental changes.
  2. Gemini 1.5's 10x larger context window enables tasks like analyzing entire codebases, filtering massive datasets, and potentially building AI with better memory.
  3. Groq's custom AI chips achieve lightning-fast token generation, paving the way for real-time AI conversations, enhanced data handling, and possible use in finance, medicine, and robotics.

AI Roundup 051: The Taylor Swift thing

Artificial Ignorance • 71 implied HN points • 26 Jan 24
🕹 Technology AI
  1. The ease of creating AI-generated celebrity fakes is increasing, raising concerns about mainstream visibility and regulatory backlash.
  2. Partnerships like Google Cloud and Hugging Face aim to democratize machine learning tools, but details remain vague.
  3. Efforts are being made to establish US-based alternatives to overseas chip manufacturing to address supply chain constraints and geopolitical concerns.

Service as a Software: The New SaaS

Jakob Nielsen on UX • 27 implied HN points • 19 Dec 24
🕹 Technology AI
  1. AI is changing how we work by making professional skills available almost instantly and at a low cost. This shift will allow tasks that used to require human expertise to be done by software.
  2. The new idea of 'Service as a Software' (SaaS) could disrupt many professional jobs by automating services like consulting, legal work, and design. This could lead to a significant boost in the economy.
  3. As AI becomes smarter and cheaper, it's expected to make high-quality expertise available to more people, changing how businesses operate and creating new opportunities in various fields.

The Heath Ledger guide to AI

Platforms, AI, and the Economics of BigTech • 9 implied HN points • 17 Jul 25
🕹 Technology AI
  1. The Joker in _The Dark Knight_ actually shapes the whole story, making it about him instead of Batman. This shows how sometimes the unexpected character can drive the main themes of a narrative.
  2. AI's biggest effect isn't about how well it performs tasks but how it changes the systems around us. We need to look at how it helps people work together more efficiently rather than just what jobs it replaces.
  3. When we focus on AI's ability to improve coordination, we see its real potential. It's not just about speeding up tasks but making sure everyone is on the same page, which can transform industries.

🌟 Your Ultimate AI Guide for Product Managers: 10-Part Series + FREE PDF & Bonus Resources! 🚀

The Product Channel By Sid Saladi • 23 implied HN points • 26 Jan 25
🕹 Technology AI
  1. AI is becoming really important for product managers. It's changing how people design and manage products.
  2. Learning about AI tools like large language models can help product managers work more efficiently. They can use these tools to improve their workflows.
  3. Ethics in AI is crucial. Product managers need to think about the responsible use of AI in their projects to ensure they are creating fair and useful products.

The Prompt Engineering Layer

From the New World • 134 implied HN points • 15 Feb 23
🕹 Technology AI
  1. Prompt engineering is the process of designing specific inputs for machine learning models.
  2. Creativity in prompt engineering can lead to novel results and opportunities beyond bypassing censorship.
  3. Artificial intelligence, like OpenAI, presents both benefits and challenges, particularly in terms of legal considerations and activism.

Don't Trust AI... Entrust It

Polymathic Being • 65 implied HN points • 25 Feb 24
🕹 Technology AI
  1. AI should be entrusted rather than blindly trusted, with clearly defined tasks and limitations.
  2. The concept of entrustment offers a more actionable approach than the vague, subjective concept of trust when dealing with AI and autonomous systems.
  3. Measuring trust through a framework that considers ethics and assurance helps in determining the boundaries within which AI can be entrusted with responsibilities.

GroupBy #1

VuTrinh. • 19 implied HN points • 08 Sep 23
🕹 Technology AI
  1. Kappa architecture simplifies data processing by combining batch and stream processing. This makes handling data more efficient compared to the traditional Lambda architecture.
  2. Presto is a powerful tool for querying large datasets, and Meta has valuable insights on using it effectively. Learning from their experience can help other teams improve their data operations.
  3. Data quality is crucial in analytics, and there are specific metrics to help measure it. Keeping track of these can prevent problems that arise from poor data.

Can I Solve Science?

TheSequence • 63 implied HN points • 10 Mar 24
🕹 Technology AI
  1. AI can advance scientific workflows but will always be limited by computational irreducibility.
  2. Stephen Wolfram's theory explores the potential of AI in discovering new science.
  3. The combination of AI and computational languages could open doors to advancing science.

AI Hallucinations on the Decline

Jakob Nielsen on UX • 21 implied HN points • 13 Feb 25
🕹 Technology AI
  1. AI models are getting better at reducing false information, called hallucinations. This means they are less likely to make things up over time.
  2. Bigger AI models generally make fewer mistakes. As AI technology improves, we can expect even fewer errors from future models.
  3. While waiting for better AI, improving user experience can help users spot and double-check misleading information, making it easier to trust AI outputs.

Atomic Energy! Can nuclear power our 100GW AI factories?

State of the Future • 29 implied HN points • 12 Nov 24
🕹 Technology AI
  1. Nuclear energy might not fully power the future's huge AI data centers, but it could play a significant supporting role. It offers reliable and flexible energy, especially where renewable sources might struggle.
  2. Small Modular Reactors (SMRs) could address the increasing energy demands for AI, but their high costs and complicated regulations are big hurdles. They might work well as part of a mix with other energy sources instead of being standalone options.
  3. The market for nuclear power is growing, driven by needs for cleaner energy and the specific power requirements of data centers. Big tech companies are already looking into using nuclear to meet their future energy demands.

DeepSeek could reshape the AI landscape

philsiarri • 22 implied HN points • 27 Jan 25
🕹 Technology AI
  1. DeepSeek, a Chinese startup, created a powerful chatbot called R1 that competes with popular US AI models like ChatGPT. It gained attention for performing well despite having limited resources.
  2. The company uses an open-source model, letting developers work with and improve their technology. This approach makes it cheaper to develop advanced AI compared to traditional methods.
  3. DeepSeek's success is raising questions about global AI regulations and how companies can respond to competition. It shows China's goal to be a leader in AI technology by 2030.

The Rise of Generative AI Courses

Sector 6 | The Newsletter of AIM • 19 implied HN points • 11 Jul 23
🕹 Technology AI
  1. Many workers are eager to learn and use generative AI at their jobs, showing a strong interest in new technology.
  2. Companies are looking for ways to use generative AI to improve their operations and stay competitive in the future.
  3. Embracing generative AI can greatly enhance training programs and help workers adapt to new trends in their fields.

#102 AI Concepts Building Tomorrow's Billion-Dollar Companies

The Product Channel By Sid Saladi • 20 implied HN points • 23 Feb 25
🕹 Technology AI
  1. AI agents are becoming co-creators in product development, changing how teams work together and make decisions.
  2. Specialized AI models tailored to specific tasks are more valuable than general-purpose ones, as seen in successful companies focusing on niche markets.
  3. Product managers need to adapt to AI's rapid pace by embracing new ethical considerations, efficient designs, and continuous learning to drive innovation.

Clouded Judgement 8.1.25 - The AI Operating Model

Clouded Judgement • 8 implied HN points • 01 Aug 25
🕹 Technology AI
  1. Incumbent companies have advantages like strong customer relationships and brand recognition, but they often struggle to adapt to new technology. Startups, on the other hand, can pivot quickly and adopt new operating models that boost their efficiency.
  2. The shift to AI is similar to past changes in tech, where companies that embraced new methods outperformed those that didn't. Startups are likely to thrive by integrating AI into their daily operations rather than just treating it as a new product feature.
  3. Rethinking how a company operates with AI can lead to significant speed and output improvements. It's essential for startups to adopt modern playbooks, rather than relying on outdated practices from industry veterans.

Edge 453: Distillation Across Different Modalities

TheSequence • 28 implied HN points • 03 Dec 24
🕹 Technology AI
  1. Cross-modal distillation allows one model to teach another model that works with a different type of data. This means you can share knowledge even if the models are processing images, text, or something else entirely.
  2. This method can be really helpful when there's not much paired data available. It helps improve the learning process in situations where gathering data might be difficult.
  3. Hugging Face’s Gradio lets developers create AI applications for the web easily. It's a neat tool that helps bring AI to everyday use in a user-friendly way.