The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

64. Medicine and Artificial Intelligence

Spyderdoc Newsletter • 9 implied HN points • 22 Nov 25
🏥 Health & Wellness AI
  1. AI will change how we detect diseases by analyzing medical images and lab tests more accurately than humans can. This allows doctors to focus on interpreting the results and caring for patients.
  2. With AI tools, treatment decisions will become more personalized. Doctors can use data to understand how different patients might respond to specific therapies instead of relying on general guidelines.
  3. AI will reduce the time doctors spend on administrative tasks like note-taking and scheduling. This gives them more time to connect with patients and provide better care.

The Sequence Engineering #556: Inside Anthropic's New Open Source AI Interpretability Tools

TheSequence • 49 implied HN points • 04 Jun 25
🕹 Technology AI
  1. Anthropic is becoming a leader in AI interpretability, which helps explain how AI systems make decisions. This is important for understanding and trusting AI outputs.
  2. They have developed new tools for tracing the thought processes of language models, helping researchers see how these models work internally. This makes it easier to improve and debug AI systems.
  3. Anthropic's recent open source release of circuit tracing tools is a significant advancement in AI interpretability, providing valuable resources for researchers in the field.

Doubling down on full-stack AI: Our (Second) Investment in OffDeal

Entry Level Investing • 33 implied HN points • 29 Jul 25
💼 Business AI
  1. AI is changing the financial services industry by making it more efficient and reducing waste. Companies like OffDeal are using AI to streamline investment banking for small businesses.
  2. OffDeal focuses on three main areas: getting data on small businesses, creating quick financial reports, and optimizing the deal process. This helps them serve their clients better and faster.
  3. Full-stack AI companies, like OffDeal, are taking control of more parts of their services to keep more value. This model is expected to grow in other areas like law, accounting, and consulting.
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The Future of Engineering is AIOps

Bytes, Data, Action! • 39 implied HN points • 22 Jan 24
🕹 Technology AI
  1. Software engineering is evolving with the help of generative AI tooling like AIOps.
  2. AIOps focuses on problem-solving and creating workflows with AI to simplify coding tasks.
  3. The future of engineering could involve conversational workflows, shared code conversations, and easy deployment through AI models.

Case Study: Scaling customer intelligence

Artificial Ignorance • 117 implied HN points • 27 Nov 24
💼 Business AI
  1. AI can help analyze a large number of sales calls quickly instead of relying on humans to do it manually. This makes it easier to understand customer behaviors and needs.
  2. Choosing the right AI model is important. Higher quality models may cost more, but they can provide better and more accurate results over cheaper options.
  3. It’s essential to make the data user-friendly. Organizing and making information accessible helps teams use insights from the analysis effectively.

AI's Appetite for Energy Is Going to Be Huge

Robots for the Rest of Us • 39 implied HN points • 21 Jan 24
🕹 Technology AI
  1. AI's growth will demand a huge amount of energy, requiring revolutionary advancements like nuclear fusion.
  2. Humanoid robots being tested at BMW showcase potential, but they're not infallible and face challenges.
  3. Concerns arise about technology worsening products over time, potentially impacting jobs and quality, urging caution in AI deployment.

AI Gets Political

Nonzero Newsletter • 282 implied HN points • 26 Jan 24
🕹 Technology AI
  1. AI is impacting politics with deep fakes and bots as force multipliers.
  2. Nuclear and renewables are increasing in global electricity output, reaching 46% by 2026.
  3. Efforts are made to broker a deal in Gaza for hostages and to address the genocide claim against Israel.

Why Did We Create Artificial Intelligence?

The Digital Anthropologist • 59 implied HN points • 13 Nov 23
🕹 Technology AI
  1. One possible reason we created Artificial Intelligence could be our fear of being alone as a species, leading us to seek connections with AI and even animals.
  2. Another reason could stem from our existential fear of species extinction, where AI may be seen as a means to counter the mortality of humanity, although projecting human traits onto machines may be flawed.
  3. Understanding the motivations behind creating AI can help us navigate its challenges and potentials, shaping a future where AI complements human existence and connectivity.

Must Learn AI Security Compendium 15: Securing AI Endpoints

Rod’s Blog • 59 implied HN points • 13 Nov 23
🕹 Technology AI
  1. AI endpoints are crucial interfaces for users to interact with AI systems, but they pose security risks like data breaches and cyberattacks.
  2. Developers and security professionals need to focus on secure code, secure data, and secure access to protect AI endpoints effectively.
  3. Implementing best practices like using secure development methods, authenticating users securely, and safeguarding data storage are essential to ensure AI endpoint security.

Weekly Dose of Optimism #117

Not Boring by Packy McCormick • 127 implied HN points • 25 Oct 24
🕹 Technology AI
  1. TSMC is successfully producing chips in Arizona, even better than in Taiwan. This could help boost U.S. manufacturing and support the new CHIPS Act funding.
  2. Arkansas has a lot of lithium, estimated to be 5 to 19 million tons. This is great news for the EV industry and America's push for clean energy.
  3. Science has made a retinal implant that helps restore vision to some blind patients. This shows how technology can genuinely improve people's lives.

Ranking the best humanoid robots of 2023

Robots & Startups • 79 implied HN points • 31 May 23
🕹 Technology AI
  1. Progress in humanoid robots has advanced significantly since challenges like the DARPA Robotics Challenge of 2015/2016.
  2. Various types of humanoid robots are now utilized commercially or in trial phases.
  3. The Avatar XPrize of 2019-2022 has been a notable event pushing advancements in robotics.

No-Code Deployment & Orchestration Of Open-Sourced Foundation Models

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 16 Apr 24
🕹 Technology AI
  1. Open-sourced language models are easier for everyone to access and can be customized to fit specific needs. This means more people, like researchers or developers, can use them to create unique solutions.
  2. Choosing the right model for each task can improve performance, so it's important to understand what each model does best. Using multiple models together can lead to better results overall.
  3. No-code tools like GALE make it simple to deploy and manage these models without needing deep technical skills. This helps businesses and individuals quickly set up and adapt AI applications.

Retrieval-Augmented Generation (RAG) vs LLM Fine-Tuning

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 19 Jan 24
🕹 Technology AI
  1. Retrieval-Augmented Generation (RAG) is great for adding specific context and making models easier to use. It's a good first step if you're starting with language models.
  2. Fine-tuning a model provides more accurate and concise answers, but it requires more upfront work and data preparation. It can handle large datasets efficiently once set up.
  3. Using RAG and fine-tuning together can boost accuracy even more. You can gather information with RAG and then fine-tune the models for better performance.

Sweethearts, Doctors, Teachers…It’s AuToMaTiC

ailogblog • 39 implied HN points • 19 Jan 24
🕹 Technology AI
  1. OpenAI is focusing on selling non-romantic companionship through their AI models to create more invested relationships with users.
  2. There are debates regarding the effectiveness of AI models in various fields like tutoring and medicine due to their lack of meaningful reciprocity and understanding.
  3. In education, the potential of AI tools lies in augmenting the classroom and extending help to reach students who may not have access to traditional tutoring.

Writing To Be Understood Easily

FutureIQ • 3 implied HN points • 23 Jan 26
🕹 Technology AI
  1. Clear, precise writing reduces the reader’s cognitive load by collapsing ambiguous “open tabs” — a short clarifier can make a sentence much easier to understand.
  2. Only make readers work for a surprise when the payoff is worth it; otherwise resolve key context early so people don’t hit working-memory limits.
  3. Good writing is a craft that’s becoming more valuable in the AI age because effective prompts need complete context; practice spotting ambiguity and supplying the missing background.

Welcome to the $4 trillion club

Alex's Personal Blog • 32 implied HN points • 31 Jul 25
💼 Business AI
  1. Microsoft's earnings have soared, making it one of the few companies valued at $4 trillion. Their cloud services, especially Azure, are growing rapidly and driving this success.
  2. AI companies like Ambiq and Figma are having successful IPOs, with Ambiq's shares jumping significantly after its debut. This shows strong investor interest in AI technologies.
  3. Meta's recent earnings report surprised many, showing significant revenue growth. Their heavy investment in AI is expected to enhance their advertising capabilities and overall business.

How Big Tech Sees DeepSeek: Five Key Takeaways

Tanay’s Newsletter • 82 implied HN points • 10 Feb 25
🕹 Technology AI
  1. DeepSeek has introduced important new methods in AI training, making it more efficient and cost-effective. Major tech companies like Microsoft and Amazon are already using its models.
  2. The rapid sharing of ideas in AI means that any lead a company gains won't last long. As soon as one company finds something new, others quickly learn from it.
  3. Even though AI tools are becoming cheaper, total spending on AI will actually rise. This means more apps will be built, leading to increased overall use of AI technologies.

Mistral AI is stacking experts

John’s Contemplations • 39 implied HN points • 19 Jan 24
🕹 Technology AI
  1. Mistral AI introduced new MoE models like Mixtral 8x7B surpassing GPT-3.5.
  2. MoE architectures have evolved over time with advancements like Switch Transformer and GLaM.
  3. Mistral AI might be planning Mistral-Large with the same architecture but more and bigger experts.

Fad or Trend

Margins by Ranjan Roy and Can Duruk • 513 implied HN points • 01 Mar 23
🕹 Technology AI
  1. Metaverse is seen as a fad that's good for Felt
  2. Crypto is also viewed as a fad that Felt doesn't care about
  3. AI, specifically OpenAI tools, is seen as a trend that may have positive impacts until concerns about its control arise

Top 10 Events 2024

Bytewax • 39 implied HN points • 18 Jan 24
🕹 Technology AI
  1. Top tech conferences in 2024 focus on AI, data science, ML, and Python.
  2. Events offer opportunities to learn, connect with peers, and expand skills.
  3. Attendees benefit from valuable insights, networking, and community engagement.

The Three Tenets for AI Security and How to Audit Activity Logs

Rod’s Blog • 59 implied HN points • 10 Nov 23
🕹 Technology AI
  1. AI security involves three main tenets: secure code, secure data, and secure access. It is crucial for security professionals to ensure AI systems are designed, developed, and maintained following these principles.
  2. To achieve secure code, monitor and update AI systems regularly, validate and verify their performance, and adhere to secure development practices and tools.
  3. When auditing activity logs, focus on detecting cyberthreats, troubleshooting and resolving issues, and optimizing performance. It involves collecting, analyzing, visualizing, and reporting on the activities within the AI system.

DALL·E 2 Decoded

Gradient Flow • 219 implied HN points • 21 Jul 22
🕹 Technology AI
  1. A guide to data annotation and synthetic data generation helps navigate the variety of tools available in the machine learning and artificial intelligence landscape.
  2. The Data Exchange podcast features conversations on DALL�E, scalable machine learning, and orchestration tools for data scientists.
  3. Book recommendations offer a diverse selection including finance, the Metaverse, rogues, and visionary figures like John von Neumann.

Weekly Dose of Optimism #121

Not Boring by Packy McCormick • 113 implied HN points • 22 Nov 24
🕹 Technology AI
  1. SpaceX successfully launched its Starship rocket, showing impressive advancements in reusable spacecraft technology. This progress is critical for potential lunar and Mars missions in the future.
  2. Javier Milei, the President of Argentina, has implemented significant economic reforms that have led to positive results like reducing inflation and achieving a fiscal surplus. His methods may influence similar government efficiency efforts in other countries.
  3. A breakthrough in quantum technology introduced a new type of qubit using mechanical vibrations. This can help improve quantum computing and create advanced technologies for various industries.

🔥 LLMs on Fire 🔥

Sector 6 | The Newsletter of AIM • 19 implied HN points • 15 Apr 24
🕹 Technology AI
  1. OpenAI's GPT-4 Turbo is currently leading the chatbot rankings, but there are strong competitors like Anthropic's Claude 3 Opus and Gemini Pro from Google.
  2. Cohere's Command R+ has also made its mark among the top models, showing that it can compete with big-name AI.
  3. Exciting new models like Llama 3 and GPT-5 are set to launch soon, which could shake things up even more in the AI race.

Elon Musk-OpenAI Lawsuit Explained in 5 Mins

The Algorithmic Bridge • 254 implied HN points • 01 Mar 24
🕹 Technology AI
  1. Elon Musk filed a lawsuit against OpenAI and Sam Altman due to concerns over OpenAI's shift from non-profit to for-profit, closed-source model.
  2. The lawsuit alleges that GPT-4 by OpenAI is an AGI algorithm and criticizes the shift in OpenAI's structure to a closed, for-profit entity tied to Microsoft.
  3. Elon Musk's motivations for the lawsuit include concerns over AI safety, the impact on his other businesses, and personal feelings of betrayal.

Must Learn AI Security Compendium 14: Securing On-prem LLMs

Rod’s Blog • 59 implied HN points • 09 Nov 23
🕹 Technology AI
  1. On-prem LLMs offer privacy benefits by keeping data and texts secure from unauthorized access or leaks.
  2. On-prem LLMs enhance security by reducing cyber attack risks due to not relying on external components or services.
  3. On-prem LLMs improve performance by utilizing an organization's own hardware and software resources for efficient language generation.

No One AI Model Will Rule the World

The Algorithmic Bridge • 254 implied HN points • 28 Feb 24
🕹 Technology AI
  1. The generative AI industry is diverse and resembles the automotive industry, with a wide range of options catering to different needs and preferences of users.
  2. Just like in the computer industry, there are various types and brands of AI models available, each optimized for different purposes and preferences of users.
  3. Generative AI space is not a single race towards AGI, but rather consists of multiple players aiming for different goals, leading to a heterogeneous and stable landscape.

Ambition's Gravity

Not Boring by Packy McCormick • 245 implied HN points • 06 Mar 24
🕹 Technology AI
  1. There are three main approaches to thinking about AI: fear of job loss, fear of missing out on AI skills, and using AI as a tool to achieve personal goals.
  2. Decide to do big things, determine the most ambitious goal for your life, and leverage the incredible tools available to make it happen faster.
  3. Ambition is contagious, empowering, and crucial in shaping the reality you want; name your ambition, set big goals, and watch the world contribute to making them a reality.

BIWEEKLY BRIEFLY NOTED: For 2024-12-05 Th

Brad DeLong's Grasping Reality • 107 implied HN points • 05 Dec 24
🕹 Technology AI
  1. Intel has faced a lot of trouble due to poor decisions made years ago. The issues they are now trying to fix are rooted in choices that stretch back more than a decade.
  2. Spending on AI is growing, but it's still far below what many companies expected. Big tech firms are investing heavily in AI to protect themselves from competition, even though they don't see immediate profits.
  3. China is now the main driver of global warming, and other countries have significantly cut their CO2 emissions. Tackling climate change is increasingly seen as a challenge that China needs to address.

Links for 2024-01-17

Axis of Ordinary • 39 implied HN points • 17 Jan 24
🔬 Science AI
  1. OpenAI's Sam Altman and Bill Gates discuss plans for GPT-5
  2. New battery material with less lithium for AI-powered search
  3. Advances in mind-decoding technologies and rumors about life on a planet from James Webb Space Telescope

Good brittle

The Uncertainty Mindset (soon to become tbd) • 99 implied HN points • 28 Jun 23
🕹 Technology AI
  1. Situated software is made for specific needs in small groups. It may lack polish but works well for those it helps.
  2. Good brittleness means being tailored to a specific situation and easily adapting when things change. This makes systems and products more responsive.
  3. We should focus on building things that are both suited to situations and able to change easily, rather than just aiming for large, flawless systems.

Amazon is the new robotics champion

Robots & Startups • 19 implied HN points • 14 Apr 24
🕹 Technology AI
  1. It took Amazon only 10 years to reach nearly 1 million robot deployments, showing rapid growth in the robotics industry.
  2. Amazon is investing heavily in robotics and AI technologies, with over €700 million allocated for advancements across Europe.
  3. Upcoming robotics events include RoboGames, Robotics Summit & Expo, and the Robotics Investment Summit, offering diverse opportunities for engagement and learning.

How Apple Won Generative AI 17 Years Ago

The Algorithmic Bridge • 265 implied HN points • 07 Feb 24
🕹 Technology AI
  1. Tech giants are racing to lead in generative AI with various strategies like endless research and new product releases.
  2. Apple seems unruffled amidst the chaos, hinting at a predetermined winner in the race for generative AI.
  3. While other companies are actively engaged in the AI race, Apple remains silent and composed, suggesting a different approach to innovation.

10 AI stories that shaped 2024

Artificial Ignorance • 100 implied HN points • 27 Dec 24
🕹 Technology AI
  1. AI is now a part of everyday life, making things easier and more efficient. It's moving from being a fun tool to a necessary part of our routines.
  2. Big companies are investing huge amounts of money in AI technology and infrastructure. They're building data centers and buying powerful computer chips to support AI's growth.
  3. New AI models are getting smarter and better at reasoning. These advancements allow AI to solve complex problems in ways we haven't seen before.