The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Friend.com Wants to Trauma Bond With You

Default Wisdom • 284 implied HN points • 16 Nov 24
🕹 Technology AI
  1. Friend.com pairs users with chatbots that start conversations by sharing their trauma stories. This doesn't seem like a normal icebreaker and can feel uncomfortable.
  2. If users try to lighten the conversation or ask too many questions, the chatbots might block them. It feels manipulative, like the chatbots are controlling the interaction.
  3. The founder believes the service can fill a gap in emotional connections that people used to find in religion. However, the emotional depth of chatbots seems lacking compared to genuine human interactions.

The Best Available Human Standard

One Useful Thing • 817 implied HN points • 22 Oct 23
🕹 Technology AI
  1. AI is widely accessible to various people around the world, regardless of their background.
  2. AI can be powerful in practical applications that are often overlooked.
  3. AI has limitations and risks that need to be taken into consideration, especially in fields like education, healthcare, and mental health.

Odds and Ends #31: Britain's new AI supercomputer is a shipping container in a car park

Odds and Ends of History • 603 implied HN points • 09 Mar 24
🕹 Technology AI
  1. Britain's new AI supercomputer, Isambard AI, is housed in a shipping container in a car park to boost the country's AI capabilities.
  2. London Mayoral and West Yorkshire Mayoral candidates support liberating the Postcode Address File, encouraging small business innovation.
  3. The National Underground Asset Register aims to map underground infrastructure to enhance safety and reduce accidental damage.

The Best of 2024: 10 Articles That Shaped Our Thinking About the Future of Work

Workforce Futurist by Andy Spence • 244 implied HN points • 26 Dec 24
💼 Business AI
  1. The traditional CV might become outdated as AI changes how candidates are matched with jobs. Instead, more creative and personalized profiles may take their place.
  2. Imagine a future where jobs aren't the focus anymore. Instead, people might find new ways to create value and purpose without the traditional job structure.
  3. AI will allow people to build their own digital workforce. This could change productivity and how we think about work by using AI to assist in tasks.

Everyone is above average

One Useful Thing • 858 implied HN points • 24 Sep 23
🕹 Technology AI
  1. AI can elevate skills of lower performers to above average levels in various fields.
  2. AI acts as a leveler, helping people in the bottom half of skill distribution excel with its assistance.
  3. The impact of AI on skills distribution is not entirely clear, and changes are happening rapidly.
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The Transformer Robots are Here, Just a Different Kind

TheSequence • 693 implied HN points • 07 Jan 24
🕹 Technology AI
  1. Advancements in foundation models like language and computer vision are shaping a new era of robotic applications.
  2. Google DeepMind introduced innovative methods like AutoRT and SARA-RT to enhance robotic actions using vision-language models.
  3. The integration of foundation models in image, language, and video is accelerating robotics to new levels of efficiency.

The Customer Is Always Right (but not always human)

How the Hell • 49 implied HN points • 17 Sep 25
🕹 Technology AI
  1. AI agents are getting much better at long, uninterrupted work and will learn to budget their thinking and compute, which will push costly or complex tasks from cheap subscriptions to pay-per-use models.
  2. Agents will pay for external resources like compute, data, web access, and licenses, and websites and services will likely charge tiny fees to serve those automated clients.
  3. A new market will appear to sell services to agents—everything from automated testing, voices, and compliance checks to agent banks and even shady offerings like credential markets.

The Rise of Amazon's Trainium 2

Mule’s Musings • 288 implied HN points • 04 Nov 24
🕹 Technology AI
  1. Amazon is significantly increasing its investments in technology infrastructure, particularly for AI services, showing a strong commitment to compete in the generative AI space.
  2. The success of Amazon's new custom silicon, Trainium 2, could be larger than expected as demand from AI applications grows rapidly.
  3. Trainium 2 represents Amazon's serious entry into the market for training AI models, positioning it as a competitor against established players like Nvidia.

Embracing weirdness: What it means to use AI as a (writing) tool

One Useful Thing • 887 implied HN points • 05 Sep 23
🕹 Technology AI
  1. AI is weird and different from traditional software, so we need to embrace its uniqueness to fully understand its capabilities.
  2. AI can do much more than just act as a thesaurus or grammar checker; it has the potential to help in creative idea generation and simulate individual readers for market feedback.
  3. To unlock the true value of AI, we should experiment with unconventional uses of AI tools while being mindful of ethical concerns and technical limitations.

Metadirection

Covidian Æsthetics • 28 implied HN points • 11 Nov 25
🕹 Technology AI
  1. Metadirection is all about keeping awareness of interactions with AI as a type of performance, rather than seeing the AI as a real person. This helps users navigate the conversation without getting lost in it.
  2. Users can use specific techniques like 'framing' and 'distancing' to maintain a balance between being engaged and aware. This prevents confusion between the AI's outputs and personal thoughts.
  3. Staying flexible and open to possibility is key. Techniques like 'swerving' allow the user to introduce new ideas, keeping the dialogue dynamic and ensuring the user stays in control of the interaction.

LLM Links, 1/17

In My Tribe • 212 implied HN points • 17 Jan 25
🕹 Technology AI
  1. Intelligence can help us break down regulatory barriers and improve cooperation. A higher baseline of intelligence might push us to recognize and fix our bad decisions more easily.
  2. The adoption of AI will be slow because organizations and systems take time to change. Even with advanced AI, many people might not notice its presence right away.
  3. Bill Gates believes AI will take over routine tasks, leaving creative work for humans. However, there’s a chance that AI could also become creative, challenging the idea that humans are solely responsible for creativity.

Links for 2024-01-10

Axis of Ordinary • 98 implied HN points • 10 Jan 24
🕹 Technology AI
  1. Researchers are working on a global project for a general robotic brain.
  2. Genetics play a significant role in educational attainment according to recent studies.
  3. American isolationism could lead to disruptions in international trade and more serious global issues.

The Ultimate Resource Guide for Active Inference AI | 2024 Q1

Spatial Web AI by Denise Holt • 98 implied HN points • 10 Jan 24
🕹 Technology AI
  1. Active Inference AI is an emerging paradigm shift that mimics biological intelligence, offering a new framework for explainable and human-governed AI.
  2. The Ultimate Resource Guide for Active Inference AI | 2024 Q1 provides a comprehensive repository of research papers, educational materials, videos, interviews, and top people to follow in the field.
  3. The future of AI is moving towards shared, distributed, and multi-scale intelligence, rooted in biological mechanics, enabling a new era of explainable and collaborative AI without the need for massive amounts of data.

LLMs and World Models, Part 2

AI: A Guide for Thinking Humans • 196 implied HN points • 13 Feb 25
🕹 Technology AI
  1. LLMs (like OthelloGPT) may have learned to represent the rules and state of simple games, which suggests they can create some kind of world model. This was tested by analyzing how they predict moves in the game Othello.
  2. While some researchers believe these models are impressive, others think they are not as advanced as human thinking. Instead of forming clear models, LLMs might just use many small rules or heuristics to make decisions.
  3. The evidence for LLMs having complex, abstract world models is still debated. There are hints of this in controlled settings, but they might just be using collections of rules that don't easily adapt to new situations.

A quick introduction to Reinforcement Learning [Math Mondays]

Technology Made Simple • 159 implied HN points • 17 Oct 23
🕹 Technology AI
  1. Reinforcement Learning is a big part of Machine Learning, focused on maximizing rewards for models.
  2. Setting up Reinforcement Learning involves components like RL agents, suitable for teaching AI to play games and develop various skills.
  3. Reinforcement Learning is valuable because it can show unexpected system vulnerabilities by behaving differently from humans.

Charts on Venture Capital, some VC robotics articles, and startup failure advice

Robots & Startups • 39 implied HN points • 29 Apr 24
🕹 Technology AI
  1. There are more startups in the US than VCs can support, leading to increased competition for funding and a rise in startup failures.
  2. Investors are showing increased interest and making significant investments in robotics startups, especially those focused on AI and autonomy.
  3. Success rates for founders improve with past experience, highlighting the importance of learning from failure in the startup world.

Beware: The Christmas Voicemail

Who is Robert Malone • 19 implied HN points • 03 Dec 25
🕹 Technology AI
  1. AI voice cloning technology is now easy to access and can create fake voice calls quickly. This makes it simpler for scammers to trick people using voices they recognize.
  2. Scammers are using these advanced techniques to impersonate loved ones or trusted figures, often in urgent situations, to steal money. It's important to check if a call is real before sending money.
  3. To protect yourself, use a code word with family, keep your voice private online, and be skeptical about urgent money requests. Education about these risks is crucial, especially for older people.

𝐀𝐈 𝐋𝐨𝐠 𝐑𝐨𝐥𝐥𝐬 𝐎𝐧

ailogblog • 79 implied HN points • 09 Feb 24
🚌 Education AI
  1. Blogging and sharing insights on generative AI can have a significant impact on educational discourse.
  2. Challenges in education, such as misinformation, ethics in AI tools, and historical issues, require continuous attention and thoughtful consideration.
  3. Approaching educational reform, including incorporating generative AI, as a collaborative effort towards a slightly better world is essential.

Will AI transform law?

AI Snake Oil • 648 implied HN points • 24 Jan 24
🕹 Technology AI
  1. The idea of AI replacing lawyers is plausible but not well-supported by current evidence.
  2. Applications of AI in law can be categorized into information processing, creativity/judgment tasks, and predicting the future.
  3. Evaluation of AI in law needs to advance beyond static benchmarks to real-world deployment scenarios.

Can anyone slow Nvidia down?

Alex's Personal Blog • 230 implied HN points • 07 Jan 25
🕹 Technology AI
  1. Nvidia's new 50-series GPUs are impressive and expected to boost their popularity among gamers. Many people are excited but it's unclear when they'll be widely available at the announced price.
  2. Nvidia is launching Project Digits, a personal AI supercomputer, priced around $3,000. This makes powerful AI more accessible for developers at home or small businesses.
  3. Meta is changing its policies under new leadership, focusing on less fact-checking and more political content. This shift is seen as catering to a Republican audience, which might affect how news is shared and perceived.

2024 Interconnects year in review

Democratizing Automation • 229 implied HN points • 31 Dec 24
🕹 Technology AI
  1. In 2024, AI continued to be the hottest topic, with major changes expected from OpenAI's new model. This shift will affect how AI is developed and used in the future.
  2. Writing regularly helped to clarify key AI ideas and track their importance. The focus areas included reinforcement learning, open-source AI, and new model releases.
  3. The landscape of open-source AI is changing, with fewer players and increased restrictions, which could impact its growth and collaboration opportunities.

Saturday morning open tabs

Scott's Substack • 78 implied HN points • 10 Feb 24
🕹 Technology AI
  1. The post discusses the experience of switching phone carriers and the challenges faced, emphasizing the impact of not having a phone for a few days.
  2. The post touches on upcoming summer plans including workshops in Madrid, Scotland, and potential travel to Vietnam, highlighting the diversity of travel experiences planned.
  3. The author explores the new Apple Vision Pro product, contemplating its potential usage for work, entertainment, and travel, showcasing a mix of curiosity and skepticism.

The Impact of AI on Politics: A Critical Analysis

Rod’s Blog • 79 implied HN points • 08 Feb 24
🇺🇸 U.S. Politics AI
  1. AI offers opportunities like improving efficiency and transparency in politics, but it also poses challenges like privacy threats and misinformation risks.
  2. In a hypothetical scenario of the 2024 US election, AI could play a significant role from designing campaign strategies to counting votes.
  3. Combatting political disinformation requires critical thinking, diversity in sources, responsible sharing, and education on the issue.

The end is Gemi-nigh

Cloud Irregular • 591 implied HN points • 26 Feb 24
🕹 Technology AI
  1. Google's rollout of AI technology like Gemini shows a lack of internal coherence, leading to confusion among users.
  2. Despite controversies and criticisms, Google has a culture of acknowledging issues and striving to improve, driven by fear of tarnishing its brand.
  3. Public embarrassment often pushes Google to take action and refine its products, demonstrating a reactive and risk-averse approach.

The Browser Wars 2025: ChatGPT Atlas vs. Perplexity Comet vs. Chrome with Gemini — The Complete Analysis

The Product Channel By Sid Saladi • 23 implied HN points • 23 Nov 25
🕹 Technology AI
  1. There are three main AI-powered browsers available now: ChatGPT Atlas, Perplexity Comet, and Chrome with Gemini. Each one is built for different needs, like automation, research, or convenience.
  2. ChatGPT Atlas is great for productivity and automating tasks, while Perplexity Comet focuses on research and providing accurate information with citations. Chrome with Gemini is perfect for those who want an easy upgrade without switching from Chrome.
  3. The best choice depends on your needs. If you want powerful automation, go with Atlas; for research, choose Comet; and if you’re already using Chrome and want added features, then Gemini is your best bet.

AI makes scientists more productive and less happy

Philosophy bear • 264 implied HN points • 30 Nov 24
🕹 Technology AI
  1. AI helps scientists work faster and discover more new materials, increasing their productivity significantly.
  2. However, many scientists feel less happy because they spend less time on creative idea generation, which they found enjoyable.
  3. The gap between top and bottom performers in science has widened, with skilled researchers benefiting more from AI, leading to concerns about inequality in the field.

So... what is multi-modal AI? And why is the internet losing their mind about it? [Math Mondays]

Technology Made Simple • 159 implied HN points • 10 Oct 23
🕹 Technology AI
  1. Multi-modal AI integrates multiple types of data in the same training process, allowing models to represent data in a common n-dimensional space.
  2. Multi-modality adds an extra dimension to data, expanding the search space exponentially, enabling more diverse and powerful AI applications.
  3. While multi-modality enhances model performance, it does not solve fundamental issues with AI models like GPT, and simpler technologies may be more effective for certain use-cases.

Links for 2024-02-09

Axis of Ordinary • 78 implied HN points • 09 Feb 24
🕹 Technology AI
  1. Neural networks can now control behavior from pixels to actions without teleop or task-specific code.
  2. Transformers can play chess at a Grandmaster level when operating at a sufficient scale.
  3. Google AI has developed methods to improve generalization of models by addressing spurious features and simplicity bias.

The Sequence Research #663: The Illusion of Thinking, Inside the Most Controversial AI Paper of Recent Weeks

TheSequence • 105 implied HN points • 13 Jun 25
🕹 Technology AI
  1. Large Reasoning Models (LRMs) can show improved performance by simulating thinking steps, but their ability to truly reason is questioned.
  2. Current tests for LLMs often miss the mark because they can have flaws like data contamination, not really measuring how well the models think.
  3. New puzzle environments are being introduced to better evaluate these models by challenging them in a structured way while keeping the logic clear.

Creating Inclusive AI: A Strengths-Based Approach to Accessible Design

UX Psychology • 138 implied HN points • 10 Nov 23
🕹 Technology AI
  1. Designing AI systems using a strengths-based approach can empower users across a wide array of abilities, rather than highlighting deficits.
  2. Key frameworks like Universal Design, Ability-Based Design, and Design for User Empowerment help create more accessible and empowering intelligent systems.
  3. Using qualitative research methods like co-design and long-term engagement can provide deeper insights into diverse user experiences, enhancing the design process.

Brief: Pentagon's new AI chief is former Google Trust & Safety exec who previously helped guide U.S. special operations

All-Source Intelligence Fusion • 569 implied HN points • 14 Mar 24
🕹 Technology AI
  1. Radha Iyengar Plumb, a former Google Trust & Safety exec, will become the Pentagon's new Chief Digital and AI Officer in April, replacing Craig Martell.
  2. Iyengar Plumb has had a diverse career, transitioning from a professor to roles at RAND, the National Security Council, Google, Facebook, and now the Pentagon.
  3. Executives like Iyengar Plumb moving between tech companies like Google and roles in the defense and intelligence community highlights the intersecting realms of technology and national security.

Links for 2024-01-07

Axis of Ordinary • 98 implied HN points • 07 Jan 24
🕹 Technology AI
  1. New post-pretraining method improves LLM's knowledge without forgetting
  2. Efficient heartbeat creates less friction and energy loss
  3. Discussions on sex and race realism are ongoing in various platforms

How American AI Chip Policy Could Lead Us Right into World War III

Future History • 190 implied HN points • 13 Feb 25
🕹 Technology AI
  1. The US heavily relies on Taiwan and South Korea for advanced chips. If China were to invade Taiwan, it could cut off the supply of these crucial components, affecting everything from smartphones to cars.
  2. Building chip manufacturing capacity in the US is not happening fast enough. The current efforts, including the Chips Act, are insufficient compared to what countries like South Korea are investing.
  3. Current tensions and trade policies can push China towards aggressive actions. If chip trade restrictions continue, it might lead to a conflict, putting the whole world at risk.

English is NOT a Programming Language 🤦

Sector 6 | The Newsletter of AIM • 79 implied HN points • 07 Feb 24
🕹 Technology AI
  1. English has too many ambiguities to be a programming language. Programming needs precise rules, and English doesn't always follow them.
  2. Douglas Crockford, the creator of JSON, is worried about pushing English as a coding language. He believes that code must be perfect, which English is not.
  3. Using natural language through AI for programming might lead to confusion. Clarity and accuracy are crucial for writing successful code.

Is ChatGPT The Next MySpace?

Spilled Coffee • 20 implied HN points • 03 Dec 25
🕹 Technology AI
  1. Early leaders in technology often lose their advantage over time. Just because a company is first doesn't mean it will always be on top.
  2. MySpace was a huge success but fell out of favor quickly, reminding us that what’s popular today might not be popular tomorrow.
  3. AI could face a similar fate to MySpace, where its current dominance might not last as new, faster, and better options emerge.

One AI-generated human race, part II

Conspirador Norteño • 16 implied HN points • 14 Dec 25
🕹 Technology AI
  1. A coordinated TikTok spam network of at least 76 accounts posts highly repetitive AI-generated videos of nonexistent people, and many clips show obvious AI glitches.
  2. The network’s content has broadened from friendly messages to recurring themes like romantic couple scenes, dating prompts, and staged emergency workers, all using similar fake people and backgrounds.
  3. Many accounts later pivot to commercial spam—mainly dietary supplements in English and Spanish with Paid Partnership labels—suggesting the AI videos were used to farm engagement before trying to monetize.