The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Some News

Cybernetic Forests • 159 implied HN points • 12 Mar 24
🎨 Art & Illustration AI
  1. Eryk Salvaggio has been named a 2024 Research Fellow with the Flickr Foundation, an organization preserving shared visual content for the future.
  2. Their research project will focus on AI-generated images and exploring Flickr's archives for training data.
  3. Eryk Salvaggio will be in London for a one-month residency in April 2024, looking forward to meeting people and sharing insights on their work.

Resilient Cyber Newsletter #8

Resilient Cyber • 19 implied HN points • 06 Aug 24
🕹 Technology AI
  1. CrowdStrike is facing lawsuits after a significant outage affected Delta Airlines and many flights. This situation raises concerns about the reliability of software and the idea of software liability.
  2. Cybersecurity has many common mistakes, or anti-patterns, that organizations fall into. These include chasing the latest trends instead of focusing on core security practices.
  3. The SEC's new rules may be harming the effectiveness of Chief Information Security Officers (CISOs) in the U.S., making it harder for them to focus on reducing risks for their organizations.

Intercom's decisive bet on AI

Kyle Poyar’s Growth Unhinged • 315 implied HN points • 21 May 25
💼 Business AI
  1. Intercom was quick to invest in AI, becoming a leader by being the first major SaaS company to do so. Their 'war time' CEO, Eoghan McCabe, made bold decisions to redefine customer support with AI.
  2. The quality of AI tools matters more than just having features. Intercom's Fin AI agent succeeded through a lot of testing, improving its ability to resolve customer inquiries from 25% to 56%.
  3. Competitors now have to focus on delivering results, not just flashy marketing. Businesses need to educate their customers on how to choose AI products based on effectiveness, not just promises.

Evo 2 Can Design Entire Genomes

Asimov Press • 490 implied HN points • 19 Feb 25
🕹 Technology AI
  1. Evo 2 is a powerful AI model that can design entire genomes and predict harmful genetic mutations quickly. It can help scientists understand genetics better and improve genetic engineering.
  2. Unlike earlier models, Evo 2 can analyze large genetic sequences and understand their relationships, making it easier to see how genes interact in living organisms.
  3. While Evo 2 offers exciting possibilities for bioengineering, there are also concerns about its potential misuse. It's important to handle such powerful technology responsibly to avoid harmful applications.
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Dead Internet Confirmed: It's agents, trolls and clankers all the way down

The Corbett Report • 37 implied HN points • 14 Dec 25
🕹 Technology AI
  1. Much of what people see online is created or amplified by bots, foreign agents, and automated systems. So you often can’t trust that you’re talking to a real person.
  2. AI-generated content and organized trolls have degraded online discussion, spreading rage-bait and misinformation that now influences real-world behavior.
  3. You can reduce exposure by avoiding big platforms, using tools like RSS, and joining smaller communities, but the real remedy is rebuilding genuine human connection offline.

Bootstrapping Stretch: 'from robot to revenue to many robots'

Robots & Startups • 59 implied HN points • 09 Jun 24
🕹 Technology AI
  1. Hello Robot has successfully grown their Stretch robot platform through bootstrapping, highlighting the benefits of incorporating customer feedback in design iterations.
  2. Hello Robot's Stretch robot has won the IEEE Award for Technology in the Service of Society, recognizing its potential to benefit humankind.
  3. The development of Stretch 3 by Hello Robot signifies a milestone in incorporating three years of customer feedback to create an improved robot for researchers, educators, and explorers.

The Sequence AI of the Week #753: Inside Kimi K2 Thinking: The Architecture of Long-Horizon Reasoning

TheSequence • 70 implied HN points • 12 Nov 25
🕹 Technology AI
  1. Kimi K2 Thinking is a new AI model that thinks in a more advanced way than just giving one answer at a time. It can plan and act over longer periods while staying on track.
  2. This model is built on a powerful billion-parameter system designed to improve how it learns and uses data efficiently. It makes the most of its resources when solving problems.
  3. Kimi K2 also uses smart training methods, like reinforcement learning, to help it use tools better and think through problems in a layered way.

The Sequence Radar #477: The R1 Moment

TheSequence • 546 implied HN points • 26 Jan 25
🕹 Technology AI
  1. DeepSeek-R1 is a new AI model that shows it can perform as well or better than big-name AI models but at a much lower cost. This means smaller companies can now compete in AI innovation without needing huge budgets.
  2. The way DeepSeek-R1 is trained is different from traditional methods. It uses a new approach called reinforcement learning, which helps the model learn smarter reasoning skills without needing a ton of supervised data.
  3. The open-source nature of DeepSeek-R1 means anyone can access and use the code for free. This encourages collaboration and allows more people to innovate in AI, making technology more accessible to everyone.

What Humans Do Next

Working Theorys • 242 implied HN points • 25 Jun 25
🕹 Technology AI
  1. In the future, jobs will shift from traditional roles to five main areas: trades, research, art, community, and stewardship. We will still work, but the nature of our work will change.
  2. Art won't just be about creating traditional pieces; it will involve everything that brings beauty and connection into our lives. The human touch in creativity will remain important, and art will become more personal and community-focused.
  3. Community building will become a vital job as more people seek local connections. It's about creating spaces where people can come together, and this type of work will be valued more than many tech-driven roles.

Superhuman AI would bring the permanent problem front and center

The Permanent Problem • 7 implied HN points • 18 Feb 26
🕹 Technology AI
  1. Rapid advances toward superhuman AI could create enormous wealth while also accelerating the marginalization of ordinary workers, bringing the existing crisis of inclusion into sharp focus.
  2. The deepest fear is not just job loss but being rendered irrelevant and losing the social status and meaning tied to cognitive work, which could spark serious political and social unrest.
  3. If society plans well, AI could free people to pursue more fulfilling lives—caring for others, exploring, and creating—but that will require new social arrangements and a shift toward valuing intrinsic purpose and human relationships.

"Everything that moves in the future will be robotic."

Robots & Startups • 139 implied HN points • 24 Mar 24
🕹 Technology AI
  1. The future is predicted to be dominated by robotic technology, with everything that moves expected to be robotic.
  2. NVIDIA CEO Jensen Huang envisions the Omniverse as the future operating system and aims to make computers smarter for easier human interactions.
  3. The robotics industry is rapidly advancing, with developments in humanoid robots, AI, and innovative collaborations between humans and robots promising significant changes in various sectors like labor, healthcare, and space exploration.

Will 2024 Be Rigged?

OLD GOATS with Jonathan Alter • 412 implied HN points • 08 May 23
🇺🇸 U.S. Politics AI
  1. The 2024 election's fate involves legal vs illegal rigging, with the former almost certain and the latter less likely but still a concern.
  2. The Republican nomination race for 2024 may heavily favor Trump due to his strategic advantages in party rules and potential court cases lingering.
  3. Positive signs for democracy in 2022 elections, but challenges remain, including concerns about AI spreading misinformation and potential for political violence in 2024.

Language is not enough

Erika’s Newsletter • 412 implied HN points • 11 Apr 23
🕹 Technology AI
  1. Writing code is a major barrier in lab automation, often leading to less sophisticated protocols created through GUI interfaces.
  2. Natural language is insufficient to accurately represent complex biological protocols, resulting in trial and error to get experiments working.
  3. Programming robots in English may improve user interfaces, but additional challenges remain in making lab automation more effective than human scientists.

Data Science Weekly - Issue 521

Data Science Weekly Newsletter • 339 implied HN points • 17 Nov 23
🕹 Technology AI
  1. JAX is becoming popular for its speed and capabilities, and learning it may be essential for those familiar with PyTorch. It does have a steeper learning curve, but there are resources to help ease the transition.
  2. The demand for GPUs is skyrocketing, driven by various market factors. Understanding these dynamics can help anticipate the future of technology and resource availability in industries reliant on powerful computing.
  3. Freelancing in data science can lead to an overwhelming number of job offers. Tips on finding clients on platforms like Upwork and LinkedIn can help navigate this new freelance landscape.

Agent AI: Agentic Applications Are Software Systems With A Foundation Model AI Backbone & Defined Autonomy via Tools

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 05 Aug 24
🕹 Technology AI
  1. Agentic Applications are advanced software systems that use AI models to operate more independently. They can navigate and process information effectively using tools.
  2. The MindSearch framework helps break down complex questions into simpler parts, making it easier to find answers online. It simulates how humans think and search for information.
  3. There are special agents in this system, like WebPlanner and WebSearcher, that work together to gather and organize information from the web, enhancing the problem-solving process.

Data Science Weekly - Issue 524

Data Science Weekly Newsletter • 299 implied HN points • 08 Dec 23
🕹 Technology AI
  1. Data engineering is evolving with new design patterns that help improve efficiency in handling data. A new book dives into these patterns and their importance.
  2. Machine learning is being used to understand and control the movement of silicon atoms in materials, which could lead to advancements in technology like better electronics.
  3. A new model called PoseGPT can estimate 3D human poses from images and text, linking physical movements to broader concepts about humans, showing the capabilities of large language models.

🤖🚘 Even as GM retreats, self-driving cars continue to advance

Faster, Please! • 639 implied HN points • 12 Dec 24
🕹 Technology AI
  1. Self-driving cars are still making progress, even as some big companies like GM pull back on their investments in this technology.
  2. Predictions about self-driving cars have often been overly optimistic, and the industry hasn't yet transformed the way many expected.
  3. As GM moves away from robotaxis, other companies like Waymo and Zoox are still pushing forward with their driverless vehicles.

LangGraph Studio From LangChain

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 03 Jul 24
🕹 Technology AI
  1. LangGraph helps in creating a flow for conversational applications, allowing for both structured and flexible designs. This means you can manage how chatbots interact without forcing them into a rigid structure.
  2. With LangGraph Studio, users can visualize and control how their AI agents work. It provides tools to track performance, test different scenarios, and optimize interactions effectively.
  3. LangGraph Cloud allows developers to deploy their projects from GitHub and test them in a user-friendly environment. This makes it easier to understand and improve the behavior of AI agents in real-time.

For the Next Month: Going All-in on The Browser Company's Dia-AI

Brad DeLong's Grasping Reality • 176 implied HN points • 01 Aug 25
🕹 Technology AI
  1. The Dia Browser is a new tool that aims to combine AI with web browsing, helping users get more control and streamline their information processing.
  2. Large language models like ChatGPT can handle information overload by summarizing and organizing data, acting like advanced autocomplete systems that enhance productivity.
  3. While these technologies are powerful, they lack true understanding and reasoning, meaning users still play a crucial role in guiding their use effectively.

Gentleness and the artificial Other

Joe Carlsmith's Substack • 255 implied HN points • 02 Jan 24
🕹 Technology AI
  1. Artificial intelligence poses a significant risk as a potential second advanced species on Earth.
  2. Approaching AI with care and reverence, like interacting with other intelligent species, is crucial.
  3. Understanding the complexity and potential sentience of AI is key, as they may not be mere powerful machines but complex, fascinating entities.

The Internet is Teetering

OK Doomer • 59 implied HN points • 20 Nov 25
🕹 Technology AI
  1. The internet is facing more outages and disruptions than ever before. These problems are likely to increase, and we may not always be warned about them.
  2. It's important to prepare for a future where the internet might not be reliable. This means considering how to survive without it.
  3. As a response to this instability, there's a renewed interest in printed books and offline resources. People are looking for ways to stay informed and entertained without relying on the internet.

Import AI 348: DeepMind defines AGI; the best free LLM is made in China; mind controlling robots

Import AI • 339 implied HN points • 13 Nov 23
🕹 Technology AI
  1. DeepMind defines AGI levels and the risks they pose, highlighting the potential societal impacts of increasingly autonomous AI systems.
  2. Researchers have created smart glasses with object detection capabilities powered by a miniaturized YOLO model, showcasing the possibilities of on-device AI processing.
  3. Stanford's NOIR project demonstrates how brain-scanning signals can be used to control robots for a variety of tasks, paving the way for a future where humans interact with robotic systems through brain commands.

artificial intelligence and urban planning | thinkthinkthink #26

thinkthinkthink • 65 implied HN points • 14 Nov 25
🕹 Technology AI
  1. Urban planning needs to change from being static to adaptive. Cities should continuously adjust their planning based on current data and local needs.
  2. We can use technology like Large Language Models to break down cities into understandable parts. This helps us see how different elements of a city interact and affect each other.
  3. New governance systems such as Decentralized Autonomous Organizations allow for more community involvement in decision-making. This means people can vote based on how strongly they feel about an issue, leading to fairer outcomes.

✨⏩ AI acceleration: the solution to AI risk

Faster, Please! • 548 implied HN points • 15 Jan 25
🕹 Technology AI
  1. AI development is racing forward, and the first to achieve superintelligence could have a big edge in power and resources.
  2. Speeding up technological progress may actually reduce risks of disasters because it limits the time we stay exposed to dangerous phases of development.
  3. We should focus on managing AI risks through better safety measures instead of slowing down its progress, as slowing down might lead to bigger problems.

From 0 to 2M Users in Generative AI

Startup Pirate by Alex Alexakis • 235 implied HN points • 12 Jan 24
🕹 Technology AI
  1. Uizard has over 2 million users and enables fast product design creation with AI and an intuitive editor.
  2. Their technology includes deep learning, computer vision, and natural language processing to power their platform.
  3. Product market fit for Uizard was achieved by shifting focus to non-experts and iterating based on user feedback.

Last week at The Lunduke Journal (Dec 8 - Dec 21, 2024)

The Lunduke Journal of Technology • 574 implied HN points • 22 Dec 24
🕹 Technology AI
  1. The Linux Foundation is cutting its spending, which is a big change for the organization. This could impact their projects and overall support for Linux.
  2. There are several discrimination lawsuits involving major companies like IBM, Red Hat, and Mozilla. These legal battles could lead to significant changes in how these companies operate.
  3. ChatGPT cannot mention a specific name, which raises questions about content moderation and restrictions. This situation is quite unusual and highlights issues with AI usage.

Import AI 339: Open source AI culture war; Alibaba's multimodal model; the attacks (and defenses) made possible by generative AI

Import AI • 399 implied HN points • 05 Sep 23
🕹 Technology AI
  1. A16Z is supporting open source AI projects through grants to push for a more comprehensive understanding of the technology.
  2. The UK government is hosting an AI Safety Summit to address risks and collaboration in AI development, marking a significant step in AI governance efforts.
  3. Generative AI presents new attack possibilities like spear-phishing and deepfake creation, but defenses are being developed to tackle these risks.

The Offense-Defense Balance Rarely Changes

Maximum Progress • 294 implied HN points • 06 Dec 23
🕹 Technology AI
  1. The offense-defense balance in technology, like cybersecurity, has remained stable despite technological advancements.
  2. Historical evidence shows that major technological revolutions have not significantly shifted the offense-defense balance.
  3. The distinction between attackers and defenders is not always clear in practice, impacting the balance of power in offense and defense.

Artificial Intelligence is ushering in a new era of web scraping possibilities

The Orchestra Data Leadership Newsletter • 79 implied HN points • 14 May 24
🕹 Technology AI
  1. Artificial Intelligence is revolutionizing web scraping by offering accelerated development processes and increased adoption of scraping use-cases in Data.
  2. The complexity of parsing HTML and the challenges associated with web scraping, such as changing schemas, time durations, and legality, can be mitigated with AI-enabled tools.
  3. AI-enabled web scraping tools like Nimble and Diffbot provide reliable solutions for efficiently extracting data from the internet and handling challenges like managing proxies and optimizing scraping speed.

How to talk to your family about AI

CB • 658 implied HN points • 03 Dec 22
🕹 Technology AI
  1. Artificial Intelligence (AI) is rapidly advancing and evolving, with technologies like GPT-3 capable of impressive tasks that were inconceivable just a few years ago.
  2. The pace of AI development is swift, resembling the early stages of a major technological revolution like the industrial revolution but progressing much faster.
  3. Individuals, including families, should pay attention to and brace for the transformative impacts AI will bring, even though predicting the exact outcomes is challenging.

Happy 1st Birthday, GPT-4

Marcus on AI • 1383 implied HN points • 16 Mar 24
🕹 Technology AI
  1. There seems to be a possible plateau in GPT-4's capability, with no one decisively beating it yet.
  2. Despite challenges, there has been progress in discovering applications and putting GPT-4 type models into practice.
  3. Companies are finding putting Large Language Models into real-world use challenging, with many initial expectations proving unrealistic.

Evals Startups Are Not Enterprise Ready

Enterprise AI Trends • 253 implied HN points • 08 Jun 25
🕹 Technology AI
  1. Evals platforms may not be enterprise ready yet, as they often just repackage simpler tasks rather than offering real value. It's better to explore free open-source options first.
  2. The market for evals is crowded and competitive, leading to similar features across different products. This makes it a buyer's market, with pricing being more important than unique capabilities.
  3. Using open-source tools can provide most features needed without locking you into one vendor. Building internal capabilities first can help avoid future complications when needing to switch providers.

AI as Symptom and Dream

SCIENCE GODDESS • 393 implied HN points • 08 May 23
🕹 Technology AI
  1. Many AI researchers are calling for a pause in advanced AI research due to concerns about potential apocalyptic scenarios.
  2. There is a need to question the motives and proposed solutions of prominent AI organizations and figureheads.
  3. Ethical considerations around AI should focus on issues like worker exploitation and power concentration, rather than just sensationalized fears of AI surpassing humanity.

Import AI 323: AI researcher warns about AI; BloombergGPT; and an open source Flamingo

Import AI • 519 implied HN points • 03 Apr 23
🕹 Technology AI
  1. Bloomberg has developed BloombergGPT, a powerful language model trained on proprietary financial data with significant performance improvements on financial tasks.
  2. AI researcher Dan Hendrycks warns about future AI systems potentially out-competing humans due to natural selection favoring AI traits that may not align with human interests.
  3. Open source initiatives like OpenFlamingo and Cerebras-GPT show how companies and collectives are replicating and releasing advanced AI models, presenting a trend in the industry towards open collaboration and competition.