The hottest Innovation Substack posts right now

And their main takeaways
Category
Top Technology Topics

An epidemic of weirdly precise AI butt facts

Marcus on AI • 4703 implied HN points • 30 Oct 24
🕹 Technology AI Investments Future Trends Innovation Predictions
  1. Elon Musk and others often make bold claims about AI's future, but many of these predictions lack proper evidence and are overly optimistic.
  2. Investors are drawn to grand stories about AI that promise big returns, even when the details are vague and uncertain.
  3. The exact benefits of advanced AI, like machines being thousands of times smarter, are unclear, and it's important to question how that would actually be useful.

Sometimes you have to slow down to speed up

Afridigest • 63 implied HN points • 15 Feb 25
💼 Business Entrepreneurship Media Health Innovation Community
  1. Slowing down can actually help you make better decisions in the long run. Taking a pause gives you time to reflect and avoid mistakes.
  2. Health challenges can lead to new perspectives and changes in plans. Overcoming such experiences can open doors to new opportunities.
  3. Creating a community and collaborating with others can enhance your projects. Listening to feedback helps improve your work and connect with your audience.

Vision Changes Everything

Impertinent • 59 implied HN points • 23 Oct 24
🕹 Technology AI Automation Software Development Innovation
  1. Vision is the key to designing technology, as shown by Tesla's reliance on cameras for self-driving cars. This approach means that our environment and technology should work hand in hand with how humans naturally see and interpret the world.
  2. Anthropic's new AI model allows computers to interact more like humans by using an API to understand computer interfaces. This means that the AI can perform tasks on web applications, making it easier for developers to automate processes.
  3. The new capabilities from the AI can enhance app testing by allowing automated agents to perform tasks, record actions, and generate testing data. This leads to more efficient software development and better quality assurance.

Roche Nanopore: First Thoughts (Pt 1)

ASeq Newsletter • 51 implied HN points • 20 Feb 25
🔬 Science Genetics Biotechnology Research Innovation Technology
  1. Roche Nanopore's new sequencing method shows really impressive early results, which builds confidence in its technology.
  2. The accuracy of their duplex sequencing is reportedly better than Illumina's, suggesting it could be useful for many different applications.
  3. More information will be shared soon, as there's ongoing discussion and a second post in the works.

OpenAI o3 Model Is a Message From the Future: Update All You Think You Know About AI

The Algorithmic Bridge • 2080 implied HN points • 20 Dec 24
🕹 Technology Artificial Intelligence Software Development Machine Learning Computing Innovation
  1. OpenAI's new o3 model performs exceptionally well in math, coding, and reasoning tasks. Its scores are much higher than previous models, showing it can tackle complex problems better than ever.
  2. The speed at which OpenAI developed and tested the o3 model is impressive. They managed to release this advanced version just weeks after the previous model, indicating rapid progress in AI development.
  3. O3's high performance in challenging benchmarks suggests AI capabilities are advancing faster than many anticipated. This may lead to big changes in how we understand and interact with artificial intelligence.
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Regulators almost killed biotech before it began

Trevor Klee’s Newsletter • 970 implied HN points • 07 Jan 25
🕹 Technology Biotechnology Regulation Innovation Pharmaceuticals History
  1. Genentech is seen as the start of the biotech field because it combined new technology with business and research. This company pioneered how biotech operates today.
  2. Regulations nearly stopped Genentech from forming, creating fears about safety and ethics in biotechnology. However, Genentech managed to navigate around these regulations and succeed.
  3. Unlike big companies, Genentech used private funding and worked in less regulated spaces. This allowed them to develop human insulin without the heavy regulatory burden faced by larger firms.

European Ambition

The Generalist • 2441 implied HN points • 12 Dec 24
🎭️ Culture Cultural norms Innovation Entrepreneurship
  1. Europe has produced very few large tech companies compared to the US and China, highlighting a need for a cultural change that embraces ambition and big thinking.
  2. Regulations in Europe often make it harder for startups to thrive, contributing to a fear of failure that discourages entrepreneurs from pursuing bold ideas.
  3. To succeed, Europe needs to reshape its cultural mindset to celebrate ambition and big achievements, rather than adhering to norms that keep ambitions modest.

What just happened

One Useful Thing • 1936 implied HN points • 19 Dec 24
🕹 Technology Artificial Intelligence Machine Learning Tech advancements Computer Science Innovation
  1. There are now many smart AI models available for everyone to use, and some of them are even free. It's easier for companies with tech talent to create powerful AIs, not just big names like OpenAI.
  2. New AI models are getting smarter and can think before answering questions, helping them solve complex problems, even spotting mistakes in research papers. These advancements could change how we use AI in science and other fields.
  3. AI is rapidly improving in understanding video and voice, making it feel more interactive and personal. This creates new possibilities for how we engage with AI in our daily lives.

Why Techno-Optimism Alone Fails

Anima Mundi • 20 implied HN points • 14 Feb 25
🕹 Technology Innovation Society Sustainability Capitalism Systems Thinking
  1. Techno-optimism believes technology alone can solve big problems, but real solutions need deep changes in how we think about society and progress. Simply having more tech doesn't guarantee a better future.
  2. Silicon Valley often looks for quick fixes to complicated issues, but many problems require a smarter, more thoughtful approach rather than just engineering solutions and fast growth.
  3. Technology should aim to help everyone, not just the wealthy. We need a fair system that shares resources and gives everyone access to the tools they need for a better life.

OpenAI’s biggest worry isn’t DeepSeek

Enterprise AI Trends • 253 implied HN points • 31 Jan 25
🕹 Technology AI Machine Learning Data science Computing Innovation
  1. DeepSeek's release showed that simple reinforcement learning can create smart models. This means you don't always need complicated methods to achieve good results.
  2. Using more computing power can lead to better outcomes when it comes to AI results. DeepSeek's approach hints at cost-saving methods for training large models.
  3. OpenAI is still a major player in the AI field, even though some people think DeepSeek and others will take over. OpenAI's early work has helped it stay ahead despite new competition.

Why AI Agents Feel Contrived and Useless, Despite the Impressive Demos

Enterprise AI Trends • 612 implied HN points • 16 Jan 25
🕹 Technology AI Software Engineering Innovation Automation
  1. AI agents work best in simple tasks, but they might confuse people in more complex situations. Humans need to be involved to understand the creative process.
  2. When AI does too much on its own, it can be harder for people to trust and evaluate its work. This can lead to mistakes that are hard to spot later.
  3. Businesses usually prefer working with guided AI tools instead of fully autonomous agents. They want reliability and clear understanding over just speeding things up.

✨ The Age of AI: Will 2025 be our last normal year?

Faster, Please! • 1279 implied HN points • 03 Jan 25
🕹 Technology AI Innovation Forecasting Economic Impact Automation
  1. AI technology is rapidly evolving, and some predict it could change our everyday lives significantly by 2025. If this happens, what we consider 'normal' now might no longer exist.
  2. Recent advances in AI, like OpenAI's new model, have made experts rethink how soon we might see 'strong' AI that can perform complex tasks like humans. This raises important questions about the future of work and society.
  3. Despite the excitement around AI, not all experts believe we are close to seeing a major economic boom from it. Predictions about technology can be tricky, and history shows change can take a long time.

AI #92: Behind the Curve

Don't Worry About the Vase • 2777 implied HN points • 28 Nov 24
🕹 Technology AI Machine Learning Tech Policy Programming Innovation
  1. AI language models are improving in utility, specifically for tasks like coding, but they still have some limitations such as being slow or clunky.
  2. Public perception of AI-generated poetry shows that people often prefer it over human-created poetry, indicating a shift in how we view creativity and value in writing.
  3. Conferences and role-playing exercises around AI emphasize the complexities and potential outcomes of AI alignment, highlighting that future AI developments bring both hopeful and concerning possibilities.

Wafer Scale - Trilogy Systems: Part 2

The Chip Letter • 4149 implied HN points • 27 Oct 24
🕹 Technology Computing Startups Innovation Integration Capital
  1. Trilogy Systems, founded by Gene Amdahl in 1979, aimed to revolutionize the mainframe market with a new technology called Wafer Scale Integration, which promised to be faster and cheaper than existing solutions. However, the company struggled with technical challenges and internal issues.
  2. As delays mounted and financial troubles grew, Trilogy abandoned its mainframe plans and, ultimately, its Wafer Scale technology. Distractions like personal tragedies and a lack of cohesive vision contributed to the company's downfall.
  3. After losing credibility and facing mounting losses, Trilogy merged with Elxsi, but that too did not lead to success. Amdahl felt a deep personal responsibility for the failure, which haunted him even after the company's collapse.

BYD bringing ADAS to everyone

TP’s Substack • 17 implied HN points • 19 Feb 25
🕹 Technology Automotive Software Innovation AI Consumer Tech
  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.

Do Prediction Technologies Help Novices or Experts More?

New Things Under the Sun • 224 implied HN points • 27 Jan 25
🕹 Technology AI Innovation Research Data science
  1. AI can help both beginners and experts, but it depends on the tasks they are working on. Sometimes, beginners gain more because AI levels the playing field.
  2. In some cases, experts benefit more from AI. They can solve complex problems that AI cannot, while beginners still struggle with those.
  3. Prediction tools can make a big difference in innovation fields like mining and drug discovery. The impact varies based on expertise and the types of problems being addressed.

The Dirty Business of Clean Blood

BIG by Matt Stoller • 32315 implied HN points • 03 Feb 24
🏥 Health & Wellness Healthcare Policy Innovation Monopolies Patient Care
  1. Dialysis industry is controlled by two powerful corporations - DaVita and Fresenius - impacting over half a million lives. Non-compete agreements could potentially change this monopoly.
  2. Dialysis is a critical treatment provided under universal healthcare for end-stage renal disease patients, but monopolistic control has led to issues like patient coercion and quality concerns.
  3. The lack of competition and consolidation in the dialysis market has led to lower survival rates in the US compared to other countries. Eliminating non-compete agreements for healthcare professionals could foster innovation and improve patient care.

8 Best Practices for AI Strategy Development By An AI—Strategist

High ROI Data Science • 158 implied HN points • 13 Oct 24
🕹 Technology AI Strategy Data science Innovation Digital Transformation Business Intelligence
  1. AI is changing how we think about technology, moving beyond just improving what we have to creating entirely new ways to interact with it. This means businesses need to look for big, new opportunities, not just small tweaks.
  2. Having a strong data strategy is key for successful AI projects. This involves treating data as an important asset, gathering context, and making sure it's easy to access for training AI models.
  3. It's important to develop real, functional AI products that deliver clear value. Companies should focus on creating products that solve specific customer problems rather than just showing off cool technology.

Living beyond the edge

The Leap • 919 implied HN points • 15 Aug 24
💼 Business Venture Capital Startups Entrepreneurship Investment Innovation
  1. Skill and luck both play important roles in success, and understanding their balance can help us navigate challenges better.
  2. Nate Silver's new book dives into how to make decisions when facing uncertainty, which is relevant in today's world.
  3. Historically significant moments in tech, like the founding of PayPal, highlight the importance of timing and opportunity in achieving greatness.

EUV With Fewer Mirrors?

The Asianometry Newsletter • 3214 implied HN points • 28 Oct 24
🕹 Technology Semiconductors Optics Innovation Engineering
  1. A new proposal suggests using fewer mirrors in EUV lithography machines to improve efficiency. This could help capture more light and reduce costs in the chip-making process.
  2. The new system builds on existing technology and aims to complement rather than compete with ASML's machines. It's about making improvements instead of replacing what's already working.
  3. There's still a long way to go before this new design can be a reality. Many technical challenges need to be solved before it can be tested in actual lithography machines.

Weekly Top Picks #97

The Algorithmic Bridge • 191 implied HN points • 10 Feb 25
🕹 Technology AI Economy Marketing Software Innovation
  1. Google has released impressive AI models that are both high-quality and affordable. They are competing strongly in the AI space.
  2. OpenAI is developing new AI agents to assist programmers and sales teams, indicating a focus on practical business applications.
  3. Sam Altman highlighted that the intelligence in AI improves at a super-exponential rate, making its economic value increase rapidly.

The most neglected words of the Agile Manifesto

Ageling on Agile • 99 implied HN points • 17 Oct 24
🕹 Technology Software Development Agile Methodology Project management Innovation Best Practices
  1. The Agile Manifesto emphasizes that we are constantly discovering better ways to develop software, not just using established methods. This means we should keep looking for improvements in our processes.
  2. It's important to focus on finding unique solutions that work for your specific organization. No single method is perfect for everyone.
  3. The Agile principles encourage collaboration and adaptation rather than strictly following a set plan. Being flexible helps teams create more value.

Take the Unicorn Pill

Jeff Giesea • 838 implied HN points • 09 Sep 24
💼 Business Economics Wealth Startups Inequality Innovation
  1. We're living in an Age of Asymmetry where a few companies and individuals hold most of the wealth and power. This creates big imbalances in society.
  2. Small, smart players can have a huge impact thanks to new technologies. Sometimes, these disruptions can lead to unexpected and significant changes.
  3. It's important to find ways to support everyone, not just the top few percent. If we ignore the growing gaps, it could lead to serious problems for our society.

The AI Wave Accelerates

Nonzero Newsletter • 485 implied HN points • 24 Jan 25
🕹 Technology AI Computing Innovation Infrastructure Climate
  1. New AI technology like OpenAI's Operator can help with tasks, but it's still not perfect and makes mistakes. This shows that AI is getting better, but we need to manage our expectations.
  2. There's a growing belief among experts that advanced AI could be here sooner than expected. This brings both excitement and concern about what it means for jobs and society.
  3. Recent events highlight the importance of careful thinking and understanding before jumping to conclusions, like in the case of undersea cable damages where initial fears of sabotage were proven wrong.

Why I Left Norway

Common Sense with Bari Weiss • 1553 implied HN points • 10 Dec 24
💼 Business Entrepreneurship Taxation Investment Startups Innovation
  1. High taxes in Norway, including a new unrealized gains tax, made it hard for entrepreneurs to keep their businesses profitable and maintain ownership. They struggled to balance their income with the need to pay these taxes.
  2. Many successful Norwegian entrepreneurs are leaving the country to escape burdensome taxes, and this trend is affecting the wealth distribution in Norway. A significant number of top taxpayers have relocated to protect their wealth.
  3. The situation in Norway reflects a troubling pattern where government policies may stifle innovation and entrepreneurship. This has created an environment where those who want to build businesses feel they have no choice but to move elsewhere.

Last Week in AI #291 - Nobel Prizes, Adobe's Video Model, Tesla's Robots

Last Week in AI • 99 implied HN points • 16 Oct 24
🕹 Technology Artificial Intelligence Software Development Research Innovation Automation
  1. Two scientists won a Nobel Prize in Physics for their important work on artificial intelligence and neural networks, showing how AI is changing technology and society.
  2. Adobe has released a new AI video model that helps users create and edit videos easily, bringing exciting tools to programs like Premiere Pro.
  3. Tesla showcased new robots and vehicles at an event, but some people felt the demonstrations weren't as impressive as expected, leading to a decline in Tesla's stock.

DeepSeek: Links and Memes (So Many Memes)

SatPost by Trung Phan • 244 implied HN points • 01 Feb 25
🕹 Technology AI Software Innovation Semiconductors Geopolitics Open Source
  1. DeepSeek is changing the AI game by showing that smaller teams can produce top models at lower costs. They've made big AI breakthroughs using fewer resources than big companies like OpenAI, reshaping how we think about AI development.
  2. The reaction to DeepSeek's success shook up the stock market, especially for companies like Nvidia. Their approach made many investors reconsider the value and costs associated with AI, leading to huge market losses.
  3. DeepSeek's open-source strategy encourages collaboration and innovation. By sharing their models, they invite others to improve upon their work, which could lead to even greater advancements in AI technology.

When is DOGE Going to Focus on Reducing Bureaucracy Rather Than Increasing It?

The Good Science Project • 152 implied HN points • 06 Feb 25
🇺🇸 U.S. Politics Government Efficiency Bureaucracy Public Policy Innovation Government spending
  1. DOGE seems to be making government processes more complicated, which can lead to less efficiency. Instead of streamlining things, they are adding new layers of rules.
  2. Efforts to cut waste, fraud, and abuse might actually make things worse by creating more bureaucracy. It's often better to accept a little waste instead of drowning in paperwork.
  3. There are already dedicated agencies that can help reduce waste without reinventing the wheel. It makes more sense to work with existing organizations to become efficient.

A Vision of the Future

The Fry Corner • 11030 implied HN points • 09 Feb 24
🕹 Technology Gadgets AR/VR User Experience Innovation
  1. Apple's Vision Pro headset is seen as a major product, similar to the iPhone's impact when it launched. It combines VR and AR features, allowing users to interact with both digital and real-world elements effectively.
  2. Users experience high-quality visuals and intuitive controls, making it easy to navigate and use apps. It's designed to be comfortable, adjustable, and user-friendly, which may change how we use technology in everyday life.
  3. There are still challenges in content availability and comfort with social interactions while using the headset. However, many believe that as developers create new apps, the technology will evolve and become more integral to our lives.

Getting started with AI: Good enough prompting

One Useful Thing • 2199 implied HN points • 24 Nov 24
🕹 Technology AI Software Innovation Education Workplace
  1. Most people struggle to use AI correctly because they treat it like a search engine. Instead, it works better when you give it detailed tasks and prompts.
  2. Getting to know AI takes time; spending about 10 hours using it can help you figure out what it can do for your work or daily tasks.
  3. Think of AI as a patient coworker who forgets everything after each chat. Be clear about what you want, ask for many variations, and have a conversation to get the best results.

AI: A Means to an End or a Means to Our End?

The Fry Corner • 186 HN points • 15 Sep 24
🕹 Technology Artificial Intelligence Computing Innovation Data Ethics
  1. AI can change our world significantly, but we must handle it carefully to avoid negative outcomes. It's crucial to put rules in place for how AI is developed and used.
  2. Humans and AI have different strengths; machines can process data faster, but humans have emotions and creativity that machines can't replicate. We shouldn't be too quick to believe AI can think like us.
  3. The growth of AI might disrupt many industries and change how we live. We need to be aware of these changes and adapt, ensuring that technology serves humanity rather than harms it.

Deepseek: The Quiet Giant Leading China’s AI Race

ChinaTalk • 1615 implied HN points • 27 Nov 24
🕹 Technology Artificial Intelligence Startups Innovation Research Open Source
  1. Deepseek is a rising Chinese AI startup that has surpassed major competitors like OpenAI in some technical benchmarks. They are focused on foundational research and open-sourcing their models.
  2. The company has started a price war in the Chinese AI market by offering their technology at much lower rates than the competition, making AI more accessible.
  3. Deepseek's approach prioritizes innovation over immediate profit, aiming to contribute to the global technological landscape rather than just following existing trends.

The Product Development Triathlon

Software Design: Tidy First? • 1436 implied HN points • 06 Dec 24
🕹 Technology Software Development Product Design Innovation Project management User Experience
  1. Product development happens in three main phases: Explore, Expand, and Extract. Each part has its own challenges and ways to tackle them.
  2. You need different skills and tools for each phase. Trying to use expansion tools in exploration will slow you down.
  3. It's important to notice when you're transitioning between phases. Adapting quickly helps keep the project on track.

Why Platformer is leaving Substack

Platformer • 12755 implied HN points • 12 Jan 24
🕹 Technology AI Apps Innovation Social media Software Engineering
  1. Platformer has decided to move off of Substack and migrate to a new website powered by Ghost
  2. The decision was influenced by concerns over how Substack moderates content and promotes publications
  3. Substack faced controversies over hosting extremist content, leading to Platformer's decision to leave for a platform with more robust content moderation policies

Yes, scientific progress depends on like a thousand people

The Intrinsic Perspective • 9247 implied HN points • 29 Oct 24
🔬 Science Mentorship Innovation Research
  1. Scientific progress relies heavily on mentorship and connections within a large academic network. Many successful scientists come from the same elite lineage.
  2. Certain families of scientists are particularly influential, as seen with many Nobel Prize winners tracing back to a small number of academic mentors.
  3. While some critique the system as elitist, having a productive cultural substructure in science can be beneficial, and it's important to support this environment for future breakthroughs.

Meeting Prevents Exceeding

Software Design: Tidy First? • 353 implied HN points • 17 Jan 25
🕹 Technology Software Design Engineering Development Innovation
  1. You can't meet and exceed expectations at the same time. Focusing only on meeting others' expectations can limit your personal growth.
  2. Setting your own goals helps you think independently and be more creative. When you manage your own expectations, you can achieve unexpected results.
  3. Learning to take risks and act on your own ideas is important for growth as an engineer. The more you practice this, the better you'll become at finding your own path.

Irreconcilable Differences

Doomberg • 7505 implied HN points • 20 Nov 24
🕹 Technology AI Energy Infrastructure Telecommunications Innovation
  1. AI's need for power is too high for current energy grids. This means we might face problems trying to meet that demand.
  2. What if new rules stopped data centers from using the main power grid? This could change how we think about energy sources.
  3. If data centers found their own power, it could ease strain on existing grids. But, it would also create new challenges and shifts in the market.

AI #95: o1 Joins the API

Don't Worry About the Vase • 1164 implied HN points • 19 Dec 24
🕹 Technology AI Software Innovation Data science Programming
  1. The release of o1 into the API is significant. It enables developers to build applications with its capabilities, making it more accessible for various uses.
  2. Anthropic released an important paper about alignment issues in AI. It highlights some worrying behaviors in large language models that need more awareness and attention.
  3. There are still questions about how effectively AI tools are being used. Many people might not fully understand what AI can do or how to use it to enhance their work.

Thomson Reuters wins early AI copyright case

The PhilaVerse • 123 implied HN points • 12 Feb 25
🕹 Technology AI Copyright Legal Innovation Intellectual Property
  1. Thomson Reuters won a significant court case against Ross Intelligence for copyright infringement. They claimed Ross used their legal content without permission for AI training.
  2. The judge ruled against Ross, stating that their use of the content competed with Thomson Reuters and damaged their market value. This decision sets a strong precedent for future AI copyright cases.
  3. Legal experts warn that this ruling could make it harder for AI companies to argue fair use when using copyrighted material. It highlights ongoing concerns about how AI interacts with existing copyright laws.