The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Frame AI risk using the NIST RMF

Deploy Securely • 98 implied HN points • 09 Jun 23
🕹 Technology AI
  1. The NIST AI Risk Management Framework provides a governance, risk, and compliance framework for artificial intelligence.
  2. The document highlights the challenges in AI risk management, including identifying and cataloging risks, emergent risks, and availability of reliable metrics.
  3. The criteria to evaluate AI systems include validity, safety, security, accountability, transparency, privacy, and fairness in managing harmful bias.

Cybernetic communication

Methexis • 98 implied HN points • 29 Jun 23
🕹 Technology AI
  1. Exploring emotions physically can lead to self-transformation.
  2. AI therapists might not be able to match human emotional understanding.
  3. AI collaboration can offer unique, efficient, and profound ways of communication beyond human capabilities.

A Robot Is Going To Take Your Job

Stove Top • 98 implied HN points • 11 May 23
🕹 Technology AI
  1. AI is advancing rapidly and may replace many jobs in the future.
  2. California is facing significant challenges, including a large debt default.
  3. Shrooms provide a unique experience of slowing down in a fast-paced world.

Welcome to the AI bubble

The Down Round • 98 implied HN points • 14 Jun 23
🕹 Technology AI
  1. The AI industry may be experiencing a bubble similar to what the crypto industry went through before.
  2. There are signs of hype and questionable practices in AI, such as companies quickly pivoting to AI and non-experts making bold claims.
  3. Being cautious and vigilant in an AI bubble is important to avoid getting caught up in unrealistic narratives and disconnected market valuations.

ChatGPT vs Google's Bard: A Side-by-Side Comparison and Why It Matters | Join Me for an AI Happy Hour in SF!

The A.I. Analyst by Ben Parr • 98 implied HN points • 23 Mar 23
🕹 Technology AI
  1. Google's Bard falls short compared to Open AI's ChatGPT in various tasks like essay writing and problem-solving.
  2. Open AI's ChatGPT outperformed Google's Bard in a side-by-side comparison in tasks like math problem-solving and coding.
  3. The quality of AI technology, like ChatGPT, influences public opinion about tech giants and their future.
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Links for 2023-05-24

Axis of Ordinary • 98 implied HN points • 24 May 23
🕹 Technology AI
  1. Yoshua Bengio discusses the potential emergence of rogue AIs.
  2. Windows is introducing Windows Copilot for enhanced productivity.
  3. Shenzhen has integrated drone food delivery into everyday life.

[70] Obsession with Efficiency

Life in Color • 98 implied HN points • 22 May 23
🕹 Technology AI
  1. Efficiency is a driving force behind technological and societal advancements.
  2. The increasing reliance on AI raises questions about the future of work and human experience.
  3. Our obsession with efficiency may lead to major shifts in how we live and interact with technology.

Infinite prep

Optimism of the will • 98 implied HN points • 26 Apr 23
🕹 Technology AI
  1. Infinite prep enables seeking out and exploiting every edge in an activity for professionalization.
  2. AI enhances learning and practice in fields like programming through interactive feedback and personalized examples.
  3. AI supports professionals in various sectors like law and medicine by aiding in training for complex scenarios and interactions.

Move over democracy

The Global Jigsaw • 79 implied HN points • 12 Dec 23
🌍 World Politics AI
  1. People are losing trust in traditional democratic systems and are open to the idea of rule by artificial intelligence.
  2. Artificial Intelligence (AI) is seen as potentially more efficient than human decision-making, especially in complex situations like policy-making.
  3. The concept of rule by algorithm (algocracy) or AI is gaining traction, with some believing that it could lead to better outcomes than traditional democratic processes.

AI Roundup 125: The war for AI talent

Artificial Ignorance • 54 implied HN points • 04 Jul 25
🕹 Technology AI
  1. Meta is ramping up its efforts in AI talent by creating a new lab that aims to develop superintelligent systems, attracting top researchers from competitors like OpenAI.
  2. Apple is reconsidering its approach to AI by potentially using technology from Anthropic or OpenAI for Siri, indicating struggles in keeping up with the generative AI race.
  3. Recent legal rulings related to AI training and copyright highlight challenges in defining fair use and could lead to complications for firms using copyrighted materials.

GPT‑5.2, GLM-4.6V, Runway's GWM Worlds, GWM Avatars and GWM Robotics, Nomos 1, Devstral 2, Wan-Move, SimGym, Disco, Stripe's Agentic Commerce Suite and more

AI Brews • 10 implied HN points • 12 Dec 25
🕹 Technology AI
  1. Large AI models are making big leaps: new releases like GPT‑5.2 and specialized models improve reasoning, code, vision, long‑context handling, and tool use, while smaller specialist models like Nomos 1 can outperform humans on hard math tasks.
  2. Agentic and commerce-focused tools are moving into the mainstream, with products and standards that let AI agents act inside apps, make purchases, and integrate into workflows (agentic commerce, foundation efforts, and Slack/agent integrations).
  3. Multimodal content and developer tooling are exploding: new video and avatar systems, motion‑controllable video models, Adobe ChatGPT integrations, visual editors, and many open‑source projects make it much easier to build and deploy creative AI applications.

Data Science Weekly - Issue 487

Data Science Weekly Newsletter • 199 implied HN points • 23 Mar 23
🕹 Technology AI
  1. This week's newsletter shares useful links in data science, machine learning, and AI. It's a great way to stay updated in these fields.
  2. One highlighted article discusses the importance of prompt engineering in interacting with language models. It's about how to communicate effectively with AI for desired results.
  3. There's also a report on how generative models like GPT might impact jobs. It shows that many workers could see changes in their tasks due to AI advancements.

New event! How AI can (maybe) fix the government!

Odds and Ends of History • 134 implied HN points • 13 Jan 25
🇺🇸 U.S. Politics AI
  1. AI could help the government improve its services. There's a discussion about how it might fix problems when resources are low.
  2. People have mixed feelings about AI. The event encourages both skeptics and enthusiasts to learn more about its potential effects on public services.
  3. The event is a great opportunity to meet others who are interested in technology and government. There will be interesting conversations and some fun giveaways.

China May Stay Permanently Behind the US in Generative AI

Interconnected • 447 implied HN points • 12 Nov 23
🕹 Technology AI
  1. China may be permanently behind the US in Generative AI due to factors like blocking quality datasets.
  2. Unique attributes of Chinese Internet data, like linguistic challenges, present additional hurdles for AI developers in China.
  3. New regulatory burdens in China around AI development may hinder progress and keep the country behind the US in generative AI.

Where Are The Robots?

Teaching computers how to talk • 110 implied HN points • 23 Feb 25
🕹 Technology AI
  1. Humanoid robots seem impressive in videos, but they aren't practical for everyday tasks yet. Many still struggle with simple actions like opening a fridge at home.
  2. Training robots in simulations is useful, but it doesn’t always translate well to the real world. Minor changes in the environment can cause trained robots to fail.
  3. Even if we could train robots better, it's unclear what tasks they could take over. Existing household machines already perform many tasks, and using robots for harmful jobs could be a better focus.

The Conversational AI Technology Landscape: Version 5.0

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 14 May 24
🕹 Technology AI
  1. Voicebots add more complexity to chatbots, requiring new technologies like ASR and TTS. They need to handle issues like latency and background noise to provide a smooth experience.
  2. Agent desktops must integrate well with chatbots to improve customer service. This helps agents access information quickly and provides suggestions to handle customer interactions better.
  3. Cognitive search tools can enhance chatbots by allowing them to access a wider range of information. This helps them answer more diverse questions from users effectively.

Weekly Top Picks #89

The Algorithmic Bridge • 159 implied HN points • 25 Nov 24
🕹 Technology AI
  1. The report discusses the current state of Generative AI in businesses for 2024, highlighting its growth and use.
  2. Large language models (LLMs) mainly focus on approximate retrieval rather than deep reasoning, which affects their performance.
  3. Recent studies indicate that people often prefer AI-generated art and poetry over works created by humans.

Tinkering | #285

Boundless by Paul Millerd • 127 implied HN points • 13 Jan 25
🕹 Technology AI
  1. Taking time for playful activities, or 'tinkering,' is important for creativity. It can help spark new ideas and keep your work enjoyable.
  2. Learning new skills like coding can be less intimidating with the right resources. Finding good courses or tools can make the process easier and more fun.
  3. Balance is key in life. Sometimes, stepping back from productivity can lead to greater discoveries and personal growth.

Edge 370: A Deep Dive Into AlphaGeometry: Google DeepMind’s New Model that Solves Geometry Problems Like a Math Olympiad Gold-Medalist

TheSequence • 364 implied HN points • 15 Feb 24
🕹 Technology AI
  1. Google DeepMind has created AlphaGeometry, an AI model that can solve complex geometry problems at the level of a Math Olympiad gold medalist using a unique combination of neural language modeling and symbolic deduction.
  2. The International Mathematical Olympiad announced a $10 million prize for an AI model that can perform at a gold medal level in the competition, which historically has been challenging even for top mathematicians.
  3. Geometry, as one of the difficult aspects of the competition, traditionally requiring both visual and mathematical skills, is now being tackled effectively by AI models like AlphaGeometry.

Beat your Bot: Building your Moat against AI

Musings on Markets • 2 HN points • 28 Aug 24
🕹 Technology AI
  1. AI is getting better at doing mechanical tasks, but it struggles with intuitive ones. This means jobs that rely on creativity and adaptability are safer than those that are purely formulaic.
  2. Jobs that follow strict rules can be easily replaced by AI, while those that need human judgement and understanding of principles will be harder for AI to take over. This shows the value of being skilled in areas that require more complex thinking.
  3. To protect your job from AI, be a generalist instead of a specialist, practice telling stories around your work, and try not to rely too much on technology for reasoning. This can help you stay unique and valuable in a changing job landscape.

20260118

Curious futures (KGhosh) • 4 implied HN points • 18 Jan 26
🕹 Technology AI
  1. AI is rapidly reshaping industries and work: companies are pivoting from old bets to AI services, and jobs are becoming more fractional and outcome-based as AI starts to behave like a new kind of employee.
  2. Communities can reclaim AI to protect and revive culture and language, showing technology can be used for cultural stewardship rather than just profit.
  3. The rush toward new tech exposes material, security, and social strains—so preserving human rhythms like rest, play, and collective care is essential for resilience.

The GenAI D&R Revolution Begins

Detection at Scale • 19 implied HN points • 13 May 24
🕹 Technology AI
  1. Security companies at RSA are increasingly focusing on AI to enhance Detection and Response (D&R) processes.
  2. Automated Tier 1 Triage using autonomous SOC analysts can streamline alert triage and analysis, improving efficiency for SecOps teams.
  3. GenAI can also improve D&R through AI-powered chatbots for automating organizational Q&A and log summarization for quicker insights and analysis.

Adversarial Examples in AI

Rod’s Blog • 39 implied HN points • 29 Feb 24
🕹 Technology AI
  1. Adversarial examples can deceive AI systems by manipulating inputs, leading to incorrect outcomes in various domains like medical imaging and autonomous vehicles.
  2. Understanding these risks is crucial for building effective defenses and creating awareness about the vulnerabilities in AI systems.
  3. Researchers are actively working to develop robust defenses against adversarial attacks to enhance the security and reliability of AI technology.

An Introduction to DAOS- The overlooked side of AI [Math Mondays]

Technology Made Simple • 79 implied HN points • 14 Nov 23
🕹 Technology AI
  1. DAOS is integral to High-Performance Computing and offers cutting-edge storage capabilities for next-generation computing.
  2. There is a serious lack of talent in developing DAOS products, making it a lucrative field for skill development and career advancement.
  3. The architecture of DAOS utilizes next-generation NVM technology and operates in user space with full OS bypass, offering lightweight and high-performance storage solutions.

Putting ChatGPT to the Test

The Future of Education • 218 implied HN points • 30 Mar 23
🚌 Education AI
  1. ChatGPT produces high-quality essays that meet or exceed standards across grade levels.
  2. Schools should adjust practices to keep up with technological advancements like ChatGPT.
  3. Education decision makers are grappling with how to respond to AI tools like ChatGPT in classrooms.

AI's Impact on Cybersecurity

Rod’s Blog • 39 implied HN points • 29 Feb 24
🕹 Technology AI
  1. Artificial Intelligence (AI) plays a crucial role in cybersecurity, both increasing threats and enhancing defenses against cyberattacks.
  2. AI-powered hacking tools automate attacks at a large scale, evolving to outsmart traditional security measures, requiring organizations to constantly improve their defenses.
  3. One common AI-powered cyber threat is the use of machine learning algorithms for spear-phishing attacks, creating personalized and convincing phishing emails that are challenging to distinguish from legitimate communications.

DeepSeek, o3, and AI applications

Generating Conversation • 116 implied HN points • 06 Feb 25
🕹 Technology AI
  1. DeepSeek R1 is a strong AI model that has impressed the industry, but life goes on, and the world hasn't changed drastically because of it. More good models out there mean better choices for those building AI applications.
  2. Competition is heating up in the AI space. Other companies, like OpenAI, are responding by releasing new models quickly to keep up with emerging players like DeepSeek.
  3. The trend of making AI models more affordable is continuing. This can help more people and businesses use AI, solving new problems that weren’t possible before.

What language should LLMs program in?

Dev Interrupted • 37 implied HN points • 14 Aug 25
🕹 Technology AI
  1. Programming languages may need to change as AI takes over coding tasks. Languages like JavaScript and Python, while easy for humans, might not be the best fit for AI.
  2. Stronger programming languages, like Haskell, could help AI produce more reliable code. These languages are strict and help ensure that the generated code works correctly.
  3. There's a possibility of creating entirely new programming languages designed specifically for AI. This could make the coding process more efficient and reduce errors compared to using human-designed languages.

How To Create A LangChain Application That Runs Locally & Offline

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 28 Feb 24
🕹 Technology AI
  1. Running language models locally gives you more control over data privacy and enhances security by keeping sensitive information off external servers.
  2. Using small language models can improve efficiency in tasks like conversation management and language understanding while also cutting down on costs associated with cloud services.
  3. Local deployment makes models available offline, ensuring you can use them anytime without needing an internet connection, which is useful for research and development.

Me and My AI Ugh Field

Atlas of Wonders and Monsters • 373 implied HN points • 25 Jan 24
🕹 Technology AI
  1. The author struggles with conflicting feelings about their career and education choices
  2. There's a concept of 'ugh fields' where the author subconsciously avoids tasks, even in their field of interest
  3. Despite challenges, the author believes in the importance of pursuing careers aligned with genuine excitement and passion

What are the implications for startups in a post-DeepSeek world?

Entry Level Investing • 117 implied HN points • 03 Feb 25
💼 Business AI
  1. Big tech companies are best at pushing AI technology forward because they have the resources. Startups may struggle to compete in this area.
  2. Selling AI models alone isn't a good business strategy anymore. Prices are dropping due to easier replication by other companies.
  3. There's a huge opportunity to build AI applications right now. With better models available, startups can create innovative products that solve real problems for customers.

The Double-Edged Sword of GPT Models: Navigating Developer Activism and Bias

Rod’s Blog • 39 implied HN points • 28 Feb 24
🕹 Technology AI
  1. GPT models have revolutionized natural language processing, opening new opportunities in technology and communication.
  2. Developer activists have been exploiting GPT models for various reasons, like gaining unauthorized access to APIs, which raises ethical questions.
  3. The power of GPT models comes with significant responsibility to ensure appropriate use and prevent potential misuse.