The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Can AIs provide psychedelic therapy? 5 Questions for chatbot ChatGPT

The Microdose • 550 implied HN points • 21 Feb 23
🕹 Technology AI
  1. ChatGPT states it may not be able to provide psychedelic-assisted therapy like a human therapist due to the need for personal connection and emotional support.
  2. Ethical and legal considerations in using AI for therapy involve informed consent, data privacy, liability, regulation, and ensuring access for all patients.
  3. Mystical experiences on psychedelics are described as profound, ineffable, and life-changing, involving a sense of unity with the universe and a deep emotional impact.

RunLLM: The custom assistant for developer tools

The AI Frontier • 179 implied HN points • 28 Mar 24
🕹 Technology AI
  1. RunLLM is a special AI assistant designed for developers, helping them with coding, answering questions, and fixing bugs. It uses specific training to understand a developer's tools and needs better than general assistants.
  2. The way RunLLM works allows it to provide accurate and relevant information quickly. It does this by fine-tuning its learning based on user feedback and the specific data it needs to use.
  3. Setting up RunLLM is easy and can be done through various platforms like Slack and Discord. Developers can quickly start using it to improve their workflow.

Recruiting Brainfood - Issue 346

Recruiting Brainfood • 550 implied HN points • 28 May 23
💼 Business AI
  1. Earn candidates' trust by focusing on transparency, reciprocity, unity, speed, and truthfulness.
  2. Implement AI responsibly by considering ethical questions and practical applications.
  3. Consider the impact of layoffs on Glassdoor company reviews and strategies for managing reputational damage.

AI Does Not Fit the Shape of Schooling

Mathworlds • 550 implied HN points • 01 Jun 23
🚌 Education AI
  1. Schooling has a multidimensional shape with various purposes like cognitive development and social development.
  2. AI models need to align with the full visions for learning, beyond what AI can currently model well.
  3. In classroom settings, AI may have potential for teacher support and professional development, but may not fit within the primary vehicle for student learning.
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Panic In The Newsroom

Teaching computers how to talk • 89 implied HN points • 12 Nov 25
📰 News AI
  1. AI news assistants often get things wrong, with nearly half of their summaries showing big mistakes. That means people who read them might be misinformed.
  2. Even when AI summaries are inaccurate, many people still trust them because they seem professional. This can harm the reputation of actual news sources.
  3. There's a real worry about deepfakes and AI spreading false information, especially as the technology gets better. It's important to educate everyone on how to spot misinformation before it spreads.

While the West Hesitates China Marches Forward

The Algorithmic Bridge • 637 implied HN points • 21 Feb 25
🕹 Technology AI
  1. China is rapidly adopting AI technology, using systems like DeepSeek across government operations to improve efficiency and decision-making. This shows their proactive approach to embracing innovation.
  2. DeepSeek has emerged as a competitive AI model that rivals established Western technologies, highlighting China's growing capabilities in the tech sector. China is focused on getting results, not just discussing ideas.
  3. The cultural mindset in China emphasizes efficiency and action, contrasting with the West's tendency to debate and regulate rather than implement. This difference in attitude could impact global technological leadership.

RAG Implementations Fail Due To Insufficient Focus On Question Intent

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 18 Jul 24
🕹 Technology AI
  1. Large Language Models (LLMs) can create useful text but often struggle with specific knowledge-based questions. They need better ways to understand the question's intent.
  2. Retrieval-augmented generation (RAG) systems try to solve this by using extra knowledge from sources like knowledge graphs, but they still make many mistakes.
  3. The Mindful-RAG approach focuses on understanding the question's intent more clearly and finding the right context in knowledge graphs to improve answers.

Outcome-Based Positioning

Good Better Best • 4 implied HN points • 20 Feb 26
💼 Business AI
  1. Agentic AI creates a new value ladder where customers pay more for outcomes — i.e., work actually done for them — rather than just features, volume, or support.
  2. Companies can adopt outcome-based positioning in two ways: conservatively by reframing plans around service levels (do it yourself → done with you → done for you), or aggressively by directly comparing AI costs to a human worker to show value.
  3. If you’re still selling inputs like seats or usage, start shifting your messaging toward completed work today; even small moves toward outcome-focused copy or pricing will make your product feel more valuable.

Triplex — a SOTA LLM for Knowledge Graph Construction

Owen’s Substack • 59 implied HN points • 19 Jul 24
🕹 Technology AI
  1. Triplex is a new tool that helps create knowledge graphs quickly and cheaply. It's much cheaper to use than older methods, making it easier for more people to utilize.
  2. This tool is small enough to run on regular laptops, which means you don't need powerful computers to build knowledge graphs. This makes technology more accessible to everyone.
  3. Triplex is open-source, allowing anyone to use and improve it. The community can experiment with it freely and innovate new ways to organize and understand information.

Issue #147: MrBeast Buys a Bank, Goldman Sachs Gives AI Agents Real Jobs, And Coinbase Wants Every AI Agent to Have a Wallet

Fintech Radar • 6 implied HN points • 16 Feb 26
💰 Finance AI
  1. Creators are starting to buy and run real financial assets, using massive audiences to scale fintech products and distribution quickly.
  2. Banks and fintechs are deploying autonomous AI agents to handle high-volume, rules-based work like accounting, onboarding, and AML, which reduces the need for additional headcount.
  3. Infrastructure for agentic money is being built fast — agent-specific wallets, machine-to-machine payment protocols, and programmable guardrails let AI agents hold and spend funds safely.

How the AI bubble will unfold

Expand Mapping with Mike Morrow • 24 implied HN points • 17 Jan 26
💼 Business AI
  1. Major AI companies are burning huge amounts of cash and are staying private to avoid revealing weak financials, so an IPO could expose losses and trigger a sharp valuation drop.
  2. Training costs are enormous and likely to keep rising as models scale, while inference costs per token may fall but overall expenses can still grow because of bigger, token-hungry models and growing demand.
  3. The likely outcomes are limited: a rare proprietary breakthrough, real financial improvement through monetization and cost cuts (which risks losing users), or an IPO that reveals the losses and pops the bubble.

Last Week in AI #252: DeepMind's real-world robots, NYT sues OpenAI, Baidu's Ernie bot hits 100M users, AI art generator controversy, and more! 🤖📰🚀🎨

Last Week in AI • 377 implied HN points • 08 Jan 24
🕹 Technology AI
  1. DeepMind is developing robots for real-world tasks like multitasking in different environments.
  2. The New York Times is suing OpenAI and Microsoft for allegedly using its work to train AI without permission.
  3. Baidu's Ernie bot has over 100 million users, and is primarily used in Chinese but also supports English.

Import AI 338: Consciousness and AI; self-improving language models; maps of thought.

Import AI • 539 implied HN points • 28 Aug 23
🕹 Technology AI
  1. Facebook introduces Code Llama, large language models specialized for coding, empowering more people with access to AI systems.
  2. DeepMind's Reinforced Self-Training (ReST) allows faster AI model improvement cycles by iteratively tuning models based on human preferences, but overfitting risks need careful management.
  3. Researchers identify key indicators from studies on human and animal consciousness to guide evaluation of AI's potential consciousness, stressing the importance of caution and a theory-heavy approach.

Dall·E 3 Is Out! Create Stunning Images in Seconds (No Matter What Topic You're Writing About)

Kristina God's Online Writing Club • 539 implied HN points • 04 Oct 23
🕹 Technology AI
  1. DALL·E 3 is an advanced and free AI tool that helps creators make unique images quickly. It's perfect for writers who want to enhance their stories without spending hours searching for pictures.
  2. The tutorial shows you how to use DALL·E 3 effectively. You can create images related to various topics, making it versatile for different writing needs.
  3. With DALL·E 3, you own the rights to the images you create. This means you can use them for personal projects or even sell them if you choose.

GPT-4.5 Feels Like a Letdown But It’s OpenAI’s Biggest Bet Yet

The Algorithmic Bridge • 605 implied HN points • 28 Feb 25
🕹 Technology AI
  1. GPT-4.5 is not as impressive as expected, but it's part of a plan for bigger advancements in the future. OpenAI is using this model to build a better foundation for what's to come.
  2. Despite being larger and more expensive, GPT-4.5 isn't leading in new capabilities compared to older models. It's more focused on creativity and communication, which might not appeal to all users.
  3. OpenAI wants to improve the basic skills of AI rather than just aiming for high scores in tests. This step back is meant to ensure future models are smarter and more capable overall.

Bretton Goods is becoming Speculative Decoding

Bretton Goods • 38 implied HN points • 27 Dec 25
🕹 Technology AI
  1. The blog is changing focus from explaining why countries get rich to studying AI — especially how to tell what AI systems are actually doing.
  2. The author shifted careers from policy and macroeconomics to computer science and now works on AI evaluations and reducing hallucinations through internships and a job at Elicit.
  3. Bretton Goods will be archived and its audience moved to a new Substack, Speculative Decoding, with a commitment to roughly one post a month about AI evaluations, safety, policy, and related research.

IT'S HAPPENING

How the Hell • 792 implied HN points • 22 Dec 24
🕹 Technology AI
  1. Researchers have created a new simulation engine called Genesis, which could enable the development of general-purpose robots. This means robots might soon be able to perform a wide range of tasks like humans.
  2. Recent advancements in AI, particularly in reasoning models from companies like OpenAI and Google, are pushing us closer to achieving advanced AI capabilities. This includes AI that can think logically and solve complex problems effectively.
  3. The rapid progress in AI, especially with the latest models, has led to a genuine feeling of hope for the future. People believe we could soon see robots, AI scientists, and even ambitious projects like colonizing Mars becoming a reality.

The Rise of the Joint-Mission Startup

Pratap’s Substack • 277 implied HN points • 22 Feb 24
💼 Business AI
  1. AI can do much more than just make companies more efficient. It can actually change how we work and team up with machines.
  2. Working together as partners is key for big companies when using AI, not just buying software. They need deep collaboration to succeed in a new AI world.
  3. Startups have a big chance to tackle larger problems by creating complete solutions instead of just quick fixes. This approach can reshape how businesses operate.

OpenAI Codex 101: The Complete Guide to AI Coding Agents with 33 Ready-to-Use Prompts

The Product Channel By Sid Saladi • 6 implied HN points • 25 Feb 26
🕹 Technology AI
  1. Codex is an autonomous coding agent that can write, test, debug, refactor, and open pull requests, letting you delegate mechanical development work and speed up delivery.
  2. Effective use requires project tooling like AGENTS.md, reusable Skills, automations, and multi-agent worktrees across web, CLI, app, or IDE surfaces to keep work consistent and isolated.
  3. Choose tools by workflow: use Codex for fast, parallel delegation, scheduled automations, and GitHub-native reviews, use a reasoning-first agent for deep debugging, privacy, or huge context — or combine both for best results.

Recruiting Brainfood - Issue 344

Recruiting Brainfood • 530 implied HN points • 14 May 23
💼 Business AI
  1. LinkedIn reports a decrease in hiring rates globally.
  2. Microsoft believes AI can relieve 'digital debt' and prevent burnout in workplaces.
  3. An article explores the concept that data-driven decisions may not always lead to innovation.

Why We Build It Matters

The Absent-Minded Professor • 275 implied HN points • 30 Jan 24
🕹 Technology AI
  1. When building technology, consider both strengths and weaknesses to extend humanity rather than bypass it.
  2. Human nature remains a common denominator in technological advancements.
  3. Question the motives behind building Artificial General Intelligence and consider if it aligns with creating the desired world.

The Pace of Change Depends on Your Gaze

Cybernetic Forests • 179 implied HN points • 24 Mar 24
🕹 Technology AI
  1. The speed of technological change is determined by where we focus our attention. Slowing down to understand the structures in place is key.
  2. AI hype often moves at the pace of fashion, while AI infrastructure evolves slowly. It's important to differentiate between new trends and substantial advancements.
  3. Governance, infrastructure, and culture play crucial roles in shaping AI's future. Participating in shaping these aspects can have a significant impact on the development and use of AI.

Weekly Dose of Optimism

Not Boring by Packy McCormick • 226 implied HN points • 01 Aug 25
🕹 Technology AI
  1. Meta is working on AI that can improve itself, which could lead to superintelligent systems. This tech aims to help people achieve their goals rather than just keeping them glued to social media.
  2. A Dutch startup has launched the first grid-connected iron-air battery, offering a more efficient way to store clean energy for extended periods. This could reduce reliance on rare materials used in traditional batteries.
  3. A new AI-designed gene editor is making it easier to edit the human genome precisely. This technology could lead to major advances in medicine and biotechnology, changing how we approach health and agriculture.

Indian LLM Storm is Arriving

Sector 6 | The Newsletter of AIM • 299 implied HN points • 17 Jan 24
🕹 Technology AI
  1. India's AI scene was quiet after the rise of ChatGPT, but now it's waking up with new developments.
  2. BharatGPT is a new AI model created with support from the government and IIT Bombay, featuring support for multiple languages and formats.
  3. Reliance Jio has teamed up with IIT Bombay to boost the BharatGPT project, showing strong industry backing.

Unexpected possibilities

Meaningness • 239 implied HN points • 17 Feb 24
🕹 Technology AI
  1. The author is exploring new ways to interact with readers, seeking feedback to be more useful and considering the balance between writing and engaging with the community.
  2. Using a platform's features like 'Notes' to share quarter-baked ideas and encourage reader interaction, but facing challenges like visibility for subscribers.
  3. The author is contemplating the frequency of informal multi-topic update posts, seeking feedback on whether readers find them interesting or view them as clutter.

Blueprints: Exploring System Change

Surfing the Future • 279 implied HN points • 27 Jan 24
🔬 Science AI
  1. 2024 marks the 50th year of the author engaging professionally in sustainability agendas.
  2. The author plans a 'Blueprints' discovery process throughout the year, involving thinkers and practitioners of system change.
  3. Key themes of the discovery process include the role of science fiction in systemic solutions, younger generations' views, scaling sustainability solutions, market-based ecosystem regeneration, and AI's future applications.

We need better LLM evaluations

The AI Frontier • 159 implied HN points • 04 Apr 24
🕹 Technology AI
  1. Current methods for evaluating language models (LLMs) are not effective because they try to give one-size-fits-all answers. Each LLM is better suited for different tasks, so we need evaluations that reflect that.
  2. It’s important to look at specific skills of LLMs, like how well they follow instructions or retrieve information. This will help users understand which model works best for their needs.
  3. We need more detailed benchmarks that assess individual capabilities rather than general performance scores. This way, developers can make smarter choices when selecting LLMs for their projects.

self learning models (1)

Eternal Sunshine of the Stochastic Mind • 119 implied HN points • 02 May 24
🕹 Technology AI
  1. Machine Learning is a leap of faith in Computer Science where data shapes the outcome rather than instructions.
  2. In machine learning, viewing yourself as a neural network model can offer insights into self-improvement.
  3. Understanding machine learning concepts can help in identifying learning failures, training the mind, and reflecting on personal objectives.

Which Jobs will AI Take?

In My Tribe • 653 implied HN points • 23 Jan 25
🕹 Technology AI
  1. AI will change many jobs, especially in sectors like transportation and finance, where automation is expected to replace a lot of workers.
  2. Some industries, like health care and entertainment, will likely grow and adapt to include both humans and AI, creating new types of jobs.
  3. The future job market will be different, with many traditional roles disappearing, but it’s believed there will still be plenty of new jobs created in emerging fields.

Robotics, Automation and AI Conferences

Robots & Startups • 299 implied HN points • 16 Jan 24
🕹 Technology AI
  1. There are numerous robotics, automation, and AI conferences available, with a mix of academic and industry events.
  2. Consider factors such as the conference's impact factor, size, specialization, attendees, and topics to decide which events are worth attending.
  3. The post provides shortlists of academic conferences and hints at upcoming coverage of tradeshows and industry events.

Day in the Life: Building a Prototype with My AI Agent

Boring AppSec • 7 implied HN points • 13 Feb 26
🕹 Technology AI
  1. Defense in depth and human-in-the-loop gates really matter. Layered controls—allowlists, sandboxed subagents, firewalls, Tailscale, and ephemeral VMs—stopped an agent from autonomously exposing services and required manual approval where needed.
  2. Tool policy enforcement beats plain filesystem isolation. A sandbox that restricts actions like exec/gateway/message is safer than a VM-only approach, and the ideal is VM-aware sandboxes that enforce tool policies inside ephemeral VMs.
  3. The main unsandboxed agent, secrets, and prompt injection are the biggest risks. Use least privilege, just-in-time secrets injection, exposure audit logs, and require explicit user approval for network exposure to mitigate them.

Lattice Semiconductor Q2 2025 Financials

More Than Moore • 210 implied HN points • 14 Aug 25
🕹 Technology AI
  1. Lattice Semiconductor saw a slight growth in revenue, reaching $124 million in Q2 2025. This is a positive sign after a tough period of declining sales.
  2. The company is focusing more on its newer product lines, like Avant and Nexus 2, which are becoming important for their business. These products are driving sales in high-demand areas like communications and computing.
  3. Despite some segments, like Industrial and Automotive, seeing declines, Lattice is managing its finances well with strong gross margins and an increase in free cash flow, giving it room for future investments.

Resilient Cyber Newsletter #9

Resilient Cyber • 19 implied HN points • 13 Aug 24
🕹 Technology AI
  1. Microsoft is tying employee bonuses to security performance, highlighting the importance of prioritizing security in their culture. This means employees are encouraged to choose security over other goals like speed or profit.
  2. There's growing interest in using AI for cybersecurity tasks, including identifying vulnerabilities and automating processes. This technology could help improve security practices but also presents challenges.
  3. The market for security automation is expected to grow significantly. This means companies are looking for ways to streamline their security processes and keep up with new threats efficiently.

Expanding AI Horizons: The Rise of Function Calling in LLMs

Gradient Flow • 279 implied HN points • 25 Jan 24
🕹 Technology AI
  1. Function Calling in AI enables models to interact with external functions, going beyond basic text generation to execute actions based on requests.
  2. Combining Retrieval Augmented Generation (RAG) with Function Calling enhances AI systems, allowing them to access external APIs to improve adaptability and assist in various tasks.
  3. Despite its potential, Function Calling in AI faces challenges like security risks, ethical alignment, technical limitations, and the need for advancements in contextual understanding for full potential realization.