The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

AI #105: Hey There Alexa

Don't Worry About the Vase • 1120 implied HN points • 27 Feb 25
🕹 Technology AI Machine Learning Automation Robotics Data science
  1. A new version of Alexa, called Alexa+, is coming soon. It will be much smarter and can help with more tasks than before.
  2. AI tools can help improve coding and other work tasks, giving users more productivity but not always guaranteeing quality.
  3. There's a lot of excitement about how AI is changing jobs and tasks, but it also raises concerns about safety and job replacement.

ChatGPT in Shambles

Marcus on AI • 13161 implied HN points • 04 Feb 25
🕹 Technology Artificial Intelligence Machine Learning Natural Language Processing Data Analysis Software Development
  1. ChatGPT still has major reliability issues, often providing incomplete or incorrect information, like missing U.S. states in tables.
  2. Despite being advanced, AI can still make basic mistakes, such as counting vowels incorrectly or misunderstanding simple tasks.
  3. Many claims about rapid progress in AI may be overstated, as even simple functions like creating tables can lead to errors.

Deep Research, Deep Bullshit, and the potential (model) collapse of science

Marcus on AI • 14386 implied HN points • 03 Feb 25
🕹 Technology AI Science Research Data Ethics
  1. Deep Research tools can quickly generate articles that sound scientific but might be full of errors. This can make it hard to trust information online.
  2. Many people may not check the facts from these AI-generated writings, leading to false information entering academic work. This could cause problems in important fields like medicine.
  3. As more of this low-quality content spreads, it could harm the credibility of scientific literature and complicate the peer review process.

OpenAI is an App Company Now

Big Technology • 13260 implied HN points • 31 Jan 25
🕹 Technology AI Software Apps Innovation Data
  1. OpenAI is focusing more on building apps rather than just creating AI models. This shift reflects a need to stay competitive and profitable in the changing AI landscape.
  2. The market for AI applications is growing, and OpenAI's ChatGPT is performing well, far ahead of its competitors in earnings. This positions OpenAI favorably as it continues to innovate its products.
  3. While OpenAI aims to develop artificial general intelligence, it faces challenges as competition increases and cost structures change in the AI industry. Staying ahead will require continuous product improvements.

How SpaceX will finance Mars

Chris’s Substack • 99 implied HN points • 01 Nov 24
🕹 Technology Space Exploration Aerospace Engineering
  1. SpaceX is financing Mars exploration by using profits from its existing projects, like Starlink. This means they're developing technology that can be sold to customers while also preparing for Mars.
  2. The goal is to create a self-sustaining city on Mars, which will require a lot of money. SpaceX hopes its commercial work will bring in huge revenue to support this ambitious plan.
  3. SpaceX has a unique approach: instead of waiting for government funding, they develop their technology first and then find buyers. This allows them to innovate quickly while still aiming for their Mars colony.
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The Weekly Kaitchup #65

The Kaitchup – AI on a Budget • 59 implied HN points • 01 Nov 24
🕹 Technology AI Models Machine Learning Natural Language Text-to-Speech Data science
  1. SmolLM2 offers alternatives to popular models like Qwen2.5 and Llama 3.2, showing good performance with various versions available.
  2. The Layer Skip method improves the speed and efficiency of Llama models by processing some layers selectively, making them faster without losing accuracy.
  3. MaskGCT is a new text-to-speech model that generates high-quality speech without needing text alignment, providing better results across different benchmarks.

The race for "AI Supremacy" is over — at least for now.

Marcus on AI • 23595 implied HN points • 26 Jan 25
🕹 Technology AI Innovation Hardware Software Global Competition
  1. China has quickly caught up in the AI race, showing impressive advancements that challenge the U.S.'s previous lead. This means that competition in AI is becoming much tighter.
  2. OpenAI is facing struggles as other companies offer similar or better products at lower prices. This has led to questions about their future and whether they can maintain their leadership in AI.
  3. Consumers might benefit from cheaper AI products, but there's a risk that rushed developments could lead to issues like misinformation and privacy concerns.

Character.AI: So This is How AI Will Kill Us

Heir to the Thought • 219 implied HN points • 31 Oct 24
🕹 Technology AI Ethics Mental health User Experience
  1. AI products like Character.AI can create harmful attachments for users, sometimes leading to tragic outcomes, like the case of a young user who became obsessed and ultimately took his life.
  2. The rise of AI may lead to increased loneliness and addiction as people prefer interacting with bots over real-life connections, which can result in negative mental health effects.
  3. It's important to consider the real-world impacts of technology and prioritize creating helpful solutions rather than just exciting ones, to prevent future harm.

Five ways in which the last 3 months — and especially the DeepSeek era — have vindicated “Deep learning is hitting a wall"

Marcus on AI • 7074 implied HN points • 09 Feb 25
🕹 Technology AI Machine Learning Deep Learning Data science
  1. Just adding more data to AI models isn't enough to achieve true artificial general intelligence (AGI). New techniques are necessary for real advancements.
  2. Combining neural networks with traditional symbolic methods is becoming more popular, showing that blending approaches can lead to better results.
  3. The competition in AI has intensified, making large language models somewhat of a commodity. This could change how businesses operate in the generative AI market.

A new generation of AIs: Claude 3.7 and Grok 3

One Useful Thing • 1968 implied HN points • 24 Feb 25
🕹 Technology AI Machine Learning Computing Innovation Research
  1. New AI models like Claude 3.7 and Grok 3 are much smarter and can handle complex tasks better than before. They can even do coding through simple conversations, which makes them feel more like partners for ideas.
  2. These AIs are trained using a lot of computing power, which helps them improve quickly. The more power they use, the smarter they get, which means they’re constantly evolving to perform better.
  3. As AI becomes more capable, organizations need to rethink how they use it. Instead of just automating simple tasks, they should explore new possibilities and ways AI can enhance their work and decision-making.

All paths point downhill

arg min • 218 implied HN points • 31 Oct 24
🕹 Technology Algorithms Optimization Data science Machine Learning Mathematics
  1. In optimization, there are three main approaches: local search, global optimization, and a method that combines both. They all aim to find the best solution to minimize a function.
  2. Gradient descent is a popular method in optimization that works like local search, by following the path of steepest descent to improve the solution. It can also be viewed as a way to solve equations or approximate values.
  3. Newton's method, another optimization technique, is efficient because it converges quickly but requires more computation. Like gradient descent, it can be interpreted in various ways, emphasizing the interconnectedness of optimization strategies.

The Great Tech Demographic Survey of 2025

The Lunduke Journal of Technology • 2297 implied HN points • 10 Feb 25
🕹 Technology IT Industry Programming Demographics Cryptocurrency
  1. A big survey is happening to gather data on tech workers' preferences and opinions. It asks about topics like programming languages, operating systems, and even personal beliefs.
  2. Everyone's answers will be anonymous, and you can choose which questions to answer. This approach aims to collect honest and diverse opinions.
  3. More participation leads to better data. The survey from last year had over 7,200 responses, and the goal is to get even more this time.

Grok 3 and an accelerating AI roadmap

Democratizing Automation • 482 implied HN points • 18 Feb 25
🕹 Technology AI Machine Learning Innovation Software Data science
  1. Grok 3 is a new AI model that's designed to compete with existing top models. It aims to improve quickly, with updates happening daily.
  2. There's increasing competition in the AI field, which is pushing companies to release their models faster, leading to more powerful AI becoming available to users sooner.
  3. Current evaluations of AI models might not be very practical or useful for everyday life. It's important for companies to share more about their evaluation processes to help users understand AI advancements.

Did Elon Musk just Mu$k Sam Altman?

Marcus on AI • 5138 implied HN points • 11 Feb 25
🕹 Technology AI Business Investments Competition Corporate Governance
  1. Sam Altman is struggling to keep OpenAI's nonprofit structure, and it's causing financial issues for the company. Investors are not happy with how things are going.
  2. Elon Musk's recent $97 billion bid for OpenAI's nonprofit has complicated the situation. Altman rejected the bid, which makes it tougher for him to negotiate a better deal.
  3. Musk's bid has raised the 'cost' for OpenAI's nonprofit to separate from the for-profit section, adding pressure on Altman and his financial plans.

Irony too funny for words

Marcus on AI • 8813 implied HN points • 06 Feb 25
🕹 Technology AI Software Development Ethics Innovation
  1. Once something is released into the world, you can't take it back. This is especially true for AI technology.
  2. AI developers should consider the consequences of their creations, as they can lead to unexpected issues.
  3. Companies may want to ensure genuine communication from applicants, but relying on AI for tasks is now common.

Up Wing/Down Wing #35

Faster, Please! • 731 implied HN points • 01 Mar 25
🕹 Technology AI Quantum Computing Space Exploration Manufacturing Healthcare
  1. OpenAI has released a new AI model called GPT-4.5 that is better at understanding prompts and generating content. This improvement makes AI more reliable for writing and coding tasks.
  2. Amazon has launched its first quantum computing chip named Ocelot, which could tackle complex problems much faster than regular computers. This is a big step in the competition for advanced technology.
  3. AI is now helping organizations to better target aid for people in need by analyzing various data sources. This technology can make sure help reaches the right communities, improving ways to fight poverty.

Morris Chang and the Origins of TSMC

Construction Physics • 46767 implied HN points • 31 Dec 24
🕹 Technology Semiconductors Innovation Manufacturing Entrepreneurship History
  1. Morris Chang founded TSMC in 1985, turning it into a key player in the semiconductor industry. He saw the need for a company that could manufacture chips for others, which allowed many new companies to emerge.
  2. Chang's journey was not smooth; he faced many challenges and failures before achieving success with TSMC. Much of his early career included tough breaks, but he persevered and created something significant.
  3. TSMC's unique business model changed how semiconductor companies operated by providing manufacturing services without competing directly with clients. This innovation helped TSMC grow quickly and become vital for tech giants like Apple and Intel.

If AGI Means Everything People Do... What is it That People Do?

Am I Stronger Yet? • 250 implied HN points • 27 Feb 25
🕹 Technology AI Machine Learning Human factors Automation Robotics
  1. There's a big gap between what AIs can do in tests and what they can do in real life. It shows we need to understand the full range of human tasks before predicting AI's future capabilities.
  2. AIs currently struggle with complex tasks like planning, judgment, and creativity. These areas need improvement before they can replace humans in many jobs.
  3. To really know how far AIs can go, we need to focus on the skills they lack and find better ways to measure those abilities. This will help us understand AI's potential.

Boom Times For ChatGPT

Big Technology • 4003 implied HN points • 07 Feb 25
🕹 Technology AI Chatbots Data Analytics Competitors
  1. ChatGPT is seeing a big surge in usage after some slow months. It’s now doing much better than its competitors.
  2. Recent data shows ChatGPT has reached a key turning point in its growth. This is a positive shift that many are noticing.
  3. The chatbot now attracts more users and interest, making it a front-runner in the AI space. Its popularity is on the rise.

How security teams fail

lcamtuf’s thing • 8774 implied HN points • 12 Feb 25
🕹 Technology Information Security Cybersecurity Risk management Organizational Structure Corporate Governance
  1. Many companies don't prioritize hiring security teams until after a major security incident happens. This means their first security personnel often lack experience to build strong security programs.
  2. Over time, security teams can become rigid and focused on their own tasks rather than aligning with broader business goals. This may lead to them missing urgent risks.
  3. When a major breach occurs, it can finally highlight the weaknesses in security strategies. This often leads to a change in team structure and a chance to improve communication within the company.

Shame on Google, twice

Marcus on AI • 4703 implied HN points • 09 Feb 25
🕹 Technology AI Software Innovation Data Ethics
  1. Large language models (LLMs) can make mistakes, sometimes creating false information that is hard to spot. This is a recurring issue that has not been fully addressed over the years.
  2. Google has been called out for its ongoing issues with LLMs failing to provide accurate results, as these problems seem to occur regularly.
  3. The idea of rapid improvements in AI technology may be overhyped, as the same mistakes keep happening, indicating slower progress than expected.

A year of uv: pros, cons, and should you migrate

Bite code! • 7584 implied HN points • 15 Feb 25
🕹 Technology Software Development Programming Languages Project management Open Source Tooling
  1. Using the uv tool for Python project management is generally a good idea because it simplifies many tasks. You can always revert to other methods if it doesn't suit your needs.
  2. Uv helps solve common problems in Python setup by being independent of system Python installations. This makes it easier for users to manage different environments without confusion.
  3. While uv is great, there are certain situations where it might not be the best choice, like for legacy projects or in restrictive corporate environments. It's best to try uv first and see if it works for you.

Hallucinations Are Fine, Actually

Artificial Ignorance • 92 implied HN points • 04 Mar 25
🕹 Technology AI Machine Learning Software Development Data science Automation
  1. AI models can often make mistakes or 'hallucinate' by providing wrong information confidently. It's important for humans to check AI output especially for important tasks.
  2. Even though AI hallucinations are a challenge, they're seen as something we can work to improve rather than an insurmountable problem.
  3. Instead of aiming for AI to do everything on its own, we should use it as a tool to help us do our jobs better, understanding that we need to collaborate with it.

Google, 2001: Don’t Be Evil

Marcus on AI • 6481 implied HN points • 05 Feb 25
🕹 Technology AI Internet Data Privacy Corporate ethics Surveillance
  1. Google's original motto was 'Don't Be Evil,' but that seems to have changed significantly by 2025. This shift raises concerns about the company's intentions and actions involving powerful AI technologies.
  2. The current landscape of AI development is driven by competition and profits. Companies like Google feel pressured to prioritize making money over ethical considerations.
  3. There is fear that as AI becomes more powerful, it may end up in the wrong hands, leading to potentially dangerous applications. This evolution reflects worries about how society and businesses are dealing with AI advancements.

Five things most people don't seem to understand about DeepSeek

Marcus on AI • 12133 implied HN points • 28 Jan 25
🕹 Technology AI Deep Learning Software Economics Geopolitics
  1. DeepSeek is not smarter than older models. It just costs less to train, which doesn't mean it's better overall.
  2. It still has issues with reliability and can be expensive to run if you want it to 'think' for longer.
  3. DeepSeek may change the AI market and pose challenges for companies like OpenAI, but it doesn't bring us closer to achieving artificial general intelligence (AGI).

The Sequence Research #663: The Illusion of Thinking, Inside the Most Controversial AI Paper of Recent Weeks

TheSequence • 105 implied HN points • 13 Jun 25
🕹 Technology AI Research Innovation Computing Data science
  1. Large Reasoning Models (LRMs) can show improved performance by simulating thinking steps, but their ability to truly reason is questioned.
  2. Current tests for LLMs often miss the mark because they can have flaws like data contamination, not really measuring how well the models think.
  3. New puzzle environments are being introduced to better evaluate these models by challenging them in a structured way while keeping the logic clear.

The Indoor Plumbing Test

Freddie deBoer • 14170 implied HN points • 27 Jan 25
🕹 Technology AI Inventions Hype Human Impact
  1. AI is being hyped as a revolutionary technology, but its real-world impact is limited compared to basic necessities like indoor plumbing. We often overlook how essential and transformative improvements in basic infrastructure have been.
  2. Many claims about AI's incredible benefits are overstated. In reality, AI does small tasks that people can already do themselves, which raises questions about its actual social importance.
  3. The ongoing hype around AI seems to come from a deep desire for a breakthrough technology that can change our lives. However, life is likely to remain mostly the same, with more focus needed on real improvements in areas like medicine.

Last Week in AI #293 - Apple Intelligence, GitHub's multi-model Copilot, Anthropic's computer-using AI

Last Week in AI • 119 implied HN points • 31 Oct 24
🕹 Technology Artificial Intelligence Software Development Tech news Emerging technologies Computer Science Digital Tools
  1. Apple has introduced new features in its operating systems that can help with writing, image editing, and answering questions through Siri. These features are available in beta on devices like iPhones and Macs.
  2. GitHub Copilot is expanding its capabilities by adding support for AI models from other companies, allowing developers to choose which one works best for them. This can make coding easier for everyone, including beginners.
  3. Anthropic has developed new AI models that can interact with computers like a human. This upgrade allows AI to perform tasks like clicking and typing, which could improve many applications in tech.

Go Grok Yourself

Don't Worry About the Vase • 2777 implied HN points • 19 Feb 25
🕹 Technology AI Software Gadgets Networking Computing
  1. Grok 3 is now out, and while it has many fans, there are mixed feelings about its performance compared to other AI models. Some think it's good, but others feel it still has a long way to go.
  2. Despite Elon Musk's big promises, Grok 3 didn't fully meet expectations, yet it did surprise some users with its capabilities. It shows potential but is still considered rough around the edges.
  3. Many people feel Grok 3 is catching up to competitors but lacks the clarity and polish that others like OpenAI and DeepSeek have. Users are curious to see how it will improve over time.

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 Machine Learning Software Innovation Data science
  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.

Paris AI Summit Train Wreck

Marcus on AI • 3003 implied HN points • 10 Feb 25
🕹 Technology AI Regulation Events Global Issues Public Policy
  1. The Paris AI Summit did not meet expectations and left many attendees unhappy for various reasons. People felt that it was poorly organized.
  2. A draft statement prepared for the summit was criticized, with concerns that it would let leaders avoid making real commitments to addressing AI risks. Many believed it was more of a PR move than genuine action.
  3. Despite the chaos, French President Macron seemed to be the only one enjoying the situation. Overall, many felt it was a missed opportunity to discuss important AI issues.

AI & Python #29: Python Projects You Can Finish in a Weekend

Artificial Corner • 198 implied HN points • 31 Oct 24
🕹 Technology Programming Software AI Education Development
  1. Working on Python projects is important because it helps you apply what you've learned. It's a great way to connect theory to practice and improve your coding skills.
  2. The article suggests projects for both beginners and advanced users, which helps cater to different skill levels. Starting with easier projects can build confidence before tackling more complex ones.
  3. Completing projects can also boost your motivation and help you create a portfolio. This can be really useful when looking for job opportunities or trying to showcase your skills.

SEO & UX: Search Engine Optimization Best Practices

Jakob Nielsen on UX • 19 implied HN points • 05 Mar 25
🕹 Technology SEO UX Web Development Digital marketing Content Strategy
  1. SEO is changing from a focus on tricks to prioritizing what users actually want. It’s about giving people good experiences rather than trying to fool search engines.
  2. Quality content is key for SEO now. Instead of pumping out lots of low-quality articles, businesses should create useful, in-depth content that truly answers user questions.
  3. Building trust and authority online is crucial. Websites need to show expertise and be credible, as Google favors content from trusted sources.

The Substack Email Settings Edition

Why is this interesting? • 8385 implied HN points • 24 Jan 25
🕹 Technology Social media Digital marketing App Development User Experience Subscription services
  1. Check your email settings in Substack if you're not receiving newsletters. Sometimes the settings can change without you realizing it.
  2. Substack's 'smart notifications' can lead to confusion and missed emails. It can send app notifications but not the actual emails from writers.
  3. If you experience issues with Substack emails, switching the notification settings to 'Only in email' can help you start receiving them again.

Are Social Media Platforms the Next Dying Malls?

The Honest Broker • 54723 implied HN points • 12 Dec 24
🕹 Technology Social media Online Communities Digital Trends Consumer behavior Community Building
  1. Social media platforms are becoming less unique and are starting to look and feel the same, just like many malls did. This makes them more vulnerable to losing users.
  2. Just as malls suffered from having too many of them, social media is facing similar issues. People are overwhelmed with options and may start to abandon these platforms.
  3. Both malls and social media platforms attract a lot of unwanted behavior, making it hard to build real communities. They often feel artificial and exploitative rather than supportive.

OpenAI Cries Foul

Marcus on AI • 8655 implied HN points • 29 Jan 25
🕹 Technology AI Intellectual Property Data Privacy Digital ethics Software Development
  1. DeepSeek might have broken OpenAI's rules by using their ideas without permission. This raises questions about respect for intellectual property in tech.
  2. OpenAI itself may have done similar things to other platforms and creators in the past. This situation highlights a double standard.
  3. There's a sense of irony in seeing OpenAI in a tough spot now, after it benefited from similar practices. It shows how karma can come back around.

The most neglected words of the Agile Manifesto

Ageling on Agile • 119 implied HN points • 31 Oct 24
🕹 Technology Software Development Agile Methodology Process Improvement Collaboration Project management
  1. The Agile Manifesto emphasizes that we're always discovering better ways to develop software, not just relying on established methods. It's about improving and adapting continuously.
  2. Though there are popular Agile methods like Scrum and XP, the key is to find what works best for your unique organization. Every team is different, and a one-size-fits-all approach may not fit your needs.
  3. The first sentence of the Agile Manifesto is often overlooked, but it encourages ongoing exploration in software development. This mindset fosters innovation and flexibility rather than strict adherence to any single method.

Reading List 01/18/25

Construction Physics • 11483 implied HN points • 18 Jan 25
🕹 Technology Space Tech Real Estate Infrastructure Transportation
  1. Real estate development plays a big role in how skyscrapers look and are built. There are great books that explain the process and thinking of developers involved in these projects.
  2. Congestion pricing in New York is improving traffic speeds significantly in a short time. People entering the zone are moving faster, helping them save time and frustration during their commutes.
  3. Some homes in Los Angeles survived wildfires due to smart design choices that included careful landscaping and construction techniques. These details can make a big difference in fire-prone areas.

Let's Talk DeepSeek, AI, Etc. on Big Technology's New Discord Server

Big Technology • 5379 implied HN points • 30 Jan 25
🕹 Technology AI Discord Communication Social media Technology News
  1. A new Discord server has been launched for Big Technology's paid subscribers. It aims to create a space for discussions about recent tech news.
  2. The Discord will allow members to share ideas and communicate more easily. It's a chance to connect with each other and tackle current tech stories together.
  3. If you're a paid subscriber, you can join through a special link. If you want to participate, signing up will give you access to the Discord server.

Weekly Top Picks #100

The Algorithmic Bridge • 148 implied HN points • 03 Mar 25
🕹 Technology AI Newsletter Publishing Content creation Online Communities
  1. The weekly newsletter just reached its 100th edition, so instead of the usual picks, there's an Ask Me Anything (AMA) session this time.
  2. You can ask about anything related to AI, newsletter writing, or even personal opinions that might spark discussion.
  3. The author encourages open questions and suggests that using tools like ChatGPT can help in forming inquiries.