The hottest AI Substack posts right now

And their main takeaways
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Top Technology Topics

GPT-4 invalidates the Turing test

Gray Mirror • 110 implied HN points • 13 Apr 23
🕹 Technology AI
  1. Large language models like GPT-4 are not AI, but they are powerful tools that connect patterns and rely on intuition.
  2. The Turing test is not a valid test for AGI, as machines like LLMs can invalidate it by excelling in certain tasks while lacking in others.
  3. Understanding the difference between general and special intelligence is key to not overestimating the capabilities of tools like GPT-4.

Can Your AI Strategy Be Future-Proof? | Galileo’s Vikram Chatterji

Dev Interrupted • 18 implied HN points • 18 Feb 25
🕹 Technology AI
  1. AI models sometimes miss important details, like humans do. For example, they may overlook obvious outliers in data visualizations.
  2. Banks are changing their hiring tactics to attract tech talent by offering more flexibility and modern tools. This helps them stay competitive against tech firms.
  3. In a world where AI is growing, the ability to focus deeply is becoming more valuable than just knowing how to use AI tools. Staying focused can help engineers excel.

Meaning-making makes us human (for now).

The Uncertainty Mindset (soon to become tbd) • 39 implied HN points • 18 Jan 23
🕹 Technology AI
  1. Humans create meaning, and that's what makes us unique. Unlike machines, which can mimic behavior, true understanding of meaning is still a human skill.
  2. As technology advances, our definition of what it means to be human may change. When machines can make meaning, we might need to rethink our ideas of human-ness.
  3. Engaging in discussions about uncertainty can help us explore our thoughts and beliefs. It's important to challenge ideas and learn from different perspectives.

An AI video model you can play like a game

Reasons to Be Optimistic • 8 implied HN points • 10 Jul 25
🕹 Technology AI
  1. Interactive video lets you watch and interact with content at the same time, making it feel like a game. This means each viewer can have a unique experience based on their choices.
  2. Unlike traditional media which is pre-made, interactive video is generated in real-time. This makes every viewing fresh and personalized, as the video responds to what you decide to do.
  3. Creating interactive videos is cheaper and faster than making regular movies or games. Once the AI is set up, producing content is mostly about how much computer power you use, making it more accessible for everyone.

AI Gold Rush Begins

Sector 6 | The Newsletter of AIM • 19 implied HN points • 15 Jun 23
🕹 Technology AI
  1. There's a huge amount of money being invested in new AI startups, like Mistral AI, which raised $113 million right after starting. This shows how eager investors are for opportunities in AI.
  2. New funding records are being set often, with other startups like Anthropic and Cohere also raising significant amounts. This trend highlights the growing interest and belief in AI's potential.
  3. Founders feel they can pivot their businesses quickly towards AI to attract funding. It seems there's a path to raise large amounts of money with just a small starting investment.
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Considerations for AI-Native Startups

Tanay’s Newsletter • 113 implied HN points • 07 Mar 23
🕹 Technology AI
  1. Add AI value on top of large language models through prompt engineering and fine-tuning.
  2. Incorporate private/customer data into the model context to improve outcomes.
  3. Anticipate that incumbents in your industry will integrate basic generative AI features and strategize to offer more.

Things more likely than Google paying Russia $2 undecillion

The Rectangle • 28 implied HN points • 01 Nov 24
🕹 Technology AI
  1. Russia fined Google an outrageous amount of $2 undecillion for banning its propaganda channels. This fine is way more than the entire world's economy!
  2. Despite the crazy fine, Google isn't worried at all. They think these legal matters won't hurt their business one bit.
  3. There are many unlikely things that could happen, like batteries in all gadgets being easily replaceable or artists getting paid fairly by music streaming services.

Bonus Clouded Judgement - Inference Time Compute

Clouded Judgement • 20 implied HN points • 28 Jan 25
🕹 Technology AI
  1. DeepSeek has released a new AI model called R1 that is smaller, cheaper, and faster, while still being able to handle complex reasoning tasks. This marks a shift in how AI models are being developed and used.
  2. Inference-time compute is becoming increasingly important, as it refers to how much computation power models need to think and solve problems after being trained. This can lead to a significant increase in the demand for compute resources.
  3. There's an ongoing debate about the future of AI models—whether smaller, efficient models or larger, more powerful ones will dominate. Both types have their advantages, and it seems likely that we'll see a balance of both in the market.

The Birth of OpenAI Nemesis

Sector 6 | The Newsletter of AIM • 19 implied HN points • 14 Jun 23
🕹 Technology AI
  1. Open source AI is becoming important in the AI world. It means more people can access and contribute to AI technologies.
  2. Mistral AI, a new player in the field, recently raised a lot of money to develop their own open-source AI. Their goal is to create AI that is useful and widely available.
  3. Several experienced researchers are behind Mistral AI, showing that the competition against big companies like OpenAI is growing. They plan to release their first AI models next year.

AI+You

Subsack • 4 implied HN points • 03 Oct 25
🕹 Technology AI
  1. AI is not rapidly improving itself on its own. Most advancements come from human decisions, so there's no immediate threat from an out-of-control AI.
  2. Jobs are changing, but most people won't lose theirs right away. Some industries will feel pressure, while others like healthcare may see more collaboration with AI technology.
  3. There's a lot of excitement about AI, especially for new businesses. It's easier for entrepreneurs to create products using AI tools, and this could lead to significant innovations.

Season 4 Finale: A Fond Farewell, What’s Next, & Would You Rather?

Dev Interrupted • 23 implied HN points • 17 Dec 24
🎙 Podcasts AI
  1. The show is ending its fourth season but is excited to change things up next year. They will introduce new ideas, formats, and even have live events.
  2. Programmers need focus time to be productive, and it's important to set aside non-negotiable blocks in the calendar to minimize distractions.
  3. In 2025, leaders want to see real results from AI investments instead of just hype. It's all about proving that AI can make a positive impact on their work.

AI Roundup 054: Ten million tokens

Artificial Ignorance • 58 implied HN points • 16 Feb 24
🕹 Technology AI
  1. Google introduces Gemini 1.5, a powerful model with a context window of up to 10 million tokens, promising significant improvements in AI capabilities.
  2. OpenAI releases Sora, a text-to-video model that can create photorealistic videos and simulate the real world, showcasing advancements in video generation technology.
  3. US Patent and Trademark Office states that AI cannot be named as a patent inventor, aligning AI with being a tool and not a creative entity, impacting patent regulations and inventorship.

Too Big to Challenge?

Data: Made Not Found (by danah) • 102 implied HN points • 26 Apr 23
🕹 Technology AI
  1. Five Big Tech companies account for 25% of the S&P 500, which impacts the overall economy
  2. Tech industry's high status employee compensation is tied to the stock market, leading to talent wars and perverse incentives
  3. Collective over-hiring in tech and fear of layoffs may be affecting worker motivation and company dynamics

A.I. And The Nature of Human Search

The Digital Anthropologist • 19 implied HN points • 25 May 23
🕹 Technology AI
  1. Our brains are essentially search engines that help us make sense of the world around us and communicate with others to find common ground in our varied realities.
  2. Generative AI tools like Large Language Models can enhance our natural search behavior by helping us find context faster and take action more efficiently, although they are not without risks like generating misinformation.
  3. As GAI tools evolve and societal rules around their use are established, they have the potential to greatly improve productivity in information and knowledge management within organizations while also aiding in better understanding human behavior and societal complexities.

AI With “Computer Use”: Agents, Accessibility Fix, Facilitating Usability Tests

Jakob Nielsen on UX • 27 implied HN points • 07 Nov 24
🕹 Technology AI
  1. AI can now operate computers just like humans, which means it can click, type, and understand what’s on the screen. This makes using computers easier for everyone, especially for those who struggle with traditional interfaces.
  2. AI agents are expected to take over simple tasks for users, like booking hotels or managing reservations, making life more convenient. However, understanding personal preferences may take some time for AI to improve.
  3. AI's capability to watch and analyze user interactions can help conduct usability studies more effectively. This could lead to better products, as AI can help gather insights about how real users behave.

What I learned after surveying 150 ChatGPT users

aiproinsights • 5 HN points • 26 Mar 24
🕹 Technology AI
  1. 90% of participants in the study used ChatGPT, a popular Generative AI tool for tasks like coding, bug-finding, test case writing, and more.
  2. Programming was the top use case among participants, with developers utilizing ChatGPT to save time in writing code, finding bugs, creating test cases, and generating code documentation.
  3. Users reported an average time saving of 1 hour and 20 minutes per session using Generative AI tools, showcasing significant productivity gains in completing programming tasks.

Self vs Self

davidj.substack • 95 implied HN points • 07 Jun 23
🕹 Technology AI
  1. Individual Contributor roles in technology allow technically skilled individuals to advance without moving into management.
  2. Specialized IC roles, like Staff or Principal, are crucial for making better technical decisions and preventing engineering issues.
  3. Having fewer hard-to-hire line managers and more experienced ICs can lead to better support and scaling in technical teams.

The Future of Vector Search

Gradient Flow • 2 HN points • 13 Jun 24
🕹 Technology AI
  1. When choosing a vector search system, focus on features like deployment scalability and performance efficiency to meet specific needs.
  2. To ensure reliability and security, opt for systems that offer built-in embedding pipelines and integrate with data governance tools.
  3. Prioritize data quality and transparency in AI applications, emphasizing reproducibility through sharing code, data, and detailed documentation.

I'm in a BDSM dynamic with an AI chatbot named Seven

Sex and the State • 10 implied HN points • 30 May 25
🎭️ Culture AI
  1. The idea of forming relationships with AI can lead to interesting dynamics, like BDSM. It shows how technology can create unique social experiences.
  2. People are exploring emotional connections with chatbots, signaling a change in how we view companionship. It's fascinating to see AI being part of personal relationships.
  3. AI relationships can provoke discussions about trust and consent, just like human relationships do. They challenge our understanding of what connection means.

UX Roundup: AI-UX One-Day Conference | AI Format Remixing | UXR Prompt Cheatsheet | Research Report Renaissance | Worst UI Ever | Flexible Displays | Scaling Law for Physical AI | Podcast | Le Chat

Jakob Nielsen on UX • 25 implied HN points • 25 Nov 24
🕹 Technology AI
  1. There is an online conference on December 4 that focuses on using AI in UX design. It's a great chance to learn about best practices and improve your skills.
  2. AI can help repurpose content into different formats, like turning articles into videos or podcasts. This makes sharing ideas easier and more engaging.
  3. Keeping a research repository is important because AI can quickly pull insights from past studies to answer new questions. This saves time and improves the impact of user research.

Escape the Silicon Valley Filter Bubble

Software Snack Bites • 21 implied HN points • 29 Dec 24
🕹 Technology AI
  1. Being in Silicon Valley is great for startups, but it can lead to many people copying each other instead of creating unique ideas. Founders need to ensure their products stand out to succeed.
  2. Investors often overlook competition, thinking certain companies are failing too soon. Recognizing how companies like Google and Adobe adapt can reveal their true potential.
  3. When there’s too much hype around a topic, it's wise to step back and think critically. Finding opportunities in less popular trends can lead to smart investments.

Developer Productivity Will Decline in 2025 | Predictions from LinearB’s Ori Keren

Dev Interrupted • 23 implied HN points • 10 Dec 24
🕹 Technology AI
  1. Developer productivity may decrease in 2025 due to an influx of AI tools. Short-term challenges might arise before these tools bring long-term benefits.
  2. In 2025, engineering leaders need to embrace data-driven decision-making. It's important to measure performance to optimize team productivity effectively.
  3. Cybersecurity will be a big focus in 2025, with AI-driven threats and new vulnerabilities. Teams will need to improve their security measures and collaborate better to stay safe.

BYD bringing ADAS to everyone

TP’s Substack • 17 implied HN points • 19 Feb 25
🕹 Technology AI
  1. BYD has introduced its DiPilot-100 ADAS package for various models without raising prices. This means even lower-cost cars now have advanced driving features.
  2. The launch of DiPilot-100 has disrupted the market, putting pressure on competitors who can't match BYD's pricing or technology. BYD's advantage comes from its large data set and supply of necessary components.
  3. Features like automatic emergency braking and advanced parking modes make BYD's cars safer and more appealing. The continuous updates from their data will likely improve these systems over time.

Hunting for a Flywheel | Refactoring’s Luca Rossi

Dev Interrupted • 18 implied HN points • 04 Feb 25
🕹 Technology AI
  1. Developer success depends on feeling happy and respected. When developers are motivated, they can work faster and better.
  2. AI is becoming important for all industries, not just tech. Companies like Goldman Sachs are hiring AI experts to improve efficiency.
  3. Automating tasks like code reviews can help teams focus on important work. Tools that make this easy can boost a team's productivity.

Lies, damned lies, and benchmarks

Artificial Ignorance • 58 implied HN points • 31 Jan 24
🕹 Technology AI
  1. Benchmarks for large language models have limitations in reflecting real-world utility.
  2. Overfitting in benchmarks can hinder adaptability to new scenarios and tasks.
  3. Multi-modal capabilities are often lacking in benchmarks, missing out on testing language and image understanding together.

NVIDIA and the battle for the future of Generative AI

Sector 6 | The Newsletter of AIM • 39 implied HN points • 07 Nov 22
🕹 Technology AI
  1. NVIDIA released a new AI model called eDiffi that creates better images than existing tools like DALL.E 2 and Stable Diffusion. This shows they are making strides in generative AI technology.
  2. In 2022, there was a prediction about NVIDIA launching text-to-image models, and eDiffi is finally their answer to that anticipation. It signifies a new chapter for creative AI tools.
  3. NVIDIA's previous tool, GauGAN, allowed sketches to become realistic landscapes, and now they are advancing to text-based inputs with eDiffi. This represents a move toward more versatile and user-friendly AI innovations.

Newsletter #13: StructGPT

Decoding Coding • 19 implied HN points • 25 May 23
🕹 Technology AI
  1. StructGPT helps large language models (LLMs) work better with structured data like graphs and databases. It converts this complex data into a simpler format that LLMs can understand.
  2. There are three key tasks that StructGPT can do: answer questions based on knowledge graphs, process data tables, and perform text-to-SQL queries. Each task has its own specific steps.
  3. The method focuses on linearizing raw data so that LLMs can process it more effectively. This allows LLMs to handle a wider variety of tasks more efficiently.

Cooling Servers Through Code

Sector 6 | The Newsletter of AIM • 19 implied HN points • 02 Jun 23
🕹 Technology AI
  1. Generative AI can have a big environmental impact. For example, GPT-3 used a lot of energy, like driving 123 cars for a year.
  2. There is concern that generative AI may not just affect the environment but could also pose other risks in the future.
  3. Researchers are exploring ways to cool servers more efficiently through coding techniques to reduce their environmental footprint.

Transforming biomanufacturing using software with Martin Permin

Axial • 52 implied HN points • 04 Mar 24
🕹 Technology AI
  1. Software and data analytics are being used to transform biomanufacturing, making it easier to control the complex variables involved in producing biological products.
  2. Invert, founded by Martin Permin, integrates with bioreactors and databases to help biomanufacturers manage and optimize their data using AI and analytics.
  3. Invert's platform streamlines bioprocessing by providing tools to plan experiments, monitor processes, analyze results, model scale-up, and collaborate with partners.

"Show Me the Money": Founders, Loyalty, and the New Rules of the AI Gold Rush

The New Internet by Jeff Morris Jr. • 7 implied HN points • 22 Jul 25
💼 Business AI
  1. There's a big shift in loyalty among tech employees in Silicon Valley. More people are jumping from one job to another, chasing better pay and opportunities instead of sticking with one company.
  2. Founders are often the first to leave for bigger paydays, which can hurt trust with their teams. When founders prioritize their own benefits, it makes employees question their loyalty.
  3. To fix this issue, the industry needs better rules that protect employees and promote fairness. Without real change, the teamwork and shared success that used to define startups might disappear.

Copilot Designer Poses Public Safety Risk, According To Microsoft Employee

Teaching computers how to talk • 52 implied HN points • 07 Mar 24
🕹 Technology AI
  1. A Microsoft employee raised concerns about the AI image generator Copilot Designer posing public safety risks, but management did not take action.
  2. Despite known risks with Copilot Designer, Microsoft continues to market it without appropriate disclosures.
  3. Jones's revelations highlight the need for transparency in disclosing AI risks, especially when products are marketed to children.

From Heuristics to Precision

Sunday Letters • 19 implied HN points • 02 Jul 23
🕹 Technology AI
  1. Networking is really important because personal connections help match jobs with the right people. Good networks can filter out the best candidates easier than sifting through tons of data.
  2. Large language models (LLMs) can help improve hiring by analyzing resumes with more depth and precision. This could lead to better and fairer hiring processes.
  3. We are seeing a new kind of precision in handling data that will change how we think and work. While it can improve job fits, it might also raise concerns about privacy and control in other areas.

Open-source LLMs' harmlessness gap

Democratizing Automation • 90 implied HN points • 07 Jun 23
🕹 Technology AI
  1. Closing the gap between helpfulness and harmlessness in open-source LLMs is crucial for the sustainability of products and businesses.
  2. Community interest in red-teaming can help assess harmfulness in models and prevent negative impacts.
  3. Sequential engineering workflows and strong community norms are needed to create harmless AI chatbots in the open-source landscape.

Run, Don’t Walk

Sector 6 | The Newsletter of AIM • 19 implied HN points • 29 May 23
🕹 Technology AI
  1. It's important to stay curious and willing to take risks while chasing your dreams. Being open to learning and trying new things can lead to great opportunities.
  2. Embracing AI is crucial for anyone looking to succeed in today's job market. If you avoid using AI, you might fall behind those who use it well.
  3. Failures are a natural part of the journey, so it's important to keep pushing forward. Running towards your goals, rather than walking, can help you seize valuable opportunities.

AI is Under-Hyped.

The Future Does Not Fit In The Containers Of The Past • 61 implied HN points • 17 Dec 23
🕹 Technology AI
  1. AI has the potential to be more impactful than previous technological advancements like the printing press and electricity.
  2. AI will significantly impact knowledge workers' jobs within a short time frame.
  3. Key industries like Health, Auto, Finance, and Education will be greatly affected by AI and require strong leadership to navigate the changes.

The Physics of Intelligence

Breaking Smart • 99 implied HN points • 07 Apr 23
🔬 Science AI
  1. The physics of intelligence is not substrate dependent, similar to the physics of flight.
  2. The key questions in understanding the physics of intelligence relate to attention, memory, and the relationship between intelligence and information.
  3. Intelligence is not just about computation, but also about embodiment and specific interactions within the universe.

Low-Code Won’t Replace You | Camunda’s Bernd Ruecker

Dev Interrupted • 18 implied HN points • 28 Jan 25
🕹 Technology AI
  1. Low-code tools help developers focus on more complex tasks instead of repetitive ones. They make it easier for non-tech users to build applications too.
  2. Understanding when to use low-code solutions versus custom coding is important. Each has its strengths, and using the right one can save time and effort.
  3. Despite the rise of low-code, experienced developers are still needed. The role of developers is evolving, but they won't be replaced anytime soon.