The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

The Browser Wars 2025: ChatGPT Atlas vs. Perplexity Comet vs. Chrome with Gemini — The Complete Analysis

The Product Channel By Sid Saladi • 23 implied HN points • 23 Nov 25
🕹 Technology AI Software Web Browsers Internet Automation
  1. There are three main AI-powered browsers available now: ChatGPT Atlas, Perplexity Comet, and Chrome with Gemini. Each one is built for different needs, like automation, research, or convenience.
  2. ChatGPT Atlas is great for productivity and automating tasks, while Perplexity Comet focuses on research and providing accurate information with citations. Chrome with Gemini is perfect for those who want an easy upgrade without switching from Chrome.
  3. The best choice depends on your needs. If you want powerful automation, go with Atlas; for research, choose Comet; and if you’re already using Chrome and want added features, then Gemini is your best bet.

AI makes scientists more productive and less happy

Philosophy bear • 264 implied HN points • 30 Nov 24
🕹 Technology AI Research Productivity Innovation Science
  1. AI helps scientists work faster and discover more new materials, increasing their productivity significantly.
  2. However, many scientists feel less happy because they spend less time on creative idea generation, which they found enjoyable.
  3. The gap between top and bottom performers in science has widened, with skilled researchers benefiting more from AI, leading to concerns about inequality in the field.

So... what is multi-modal AI? And why is the internet losing their mind about it? [Math Mondays]

Technology Made Simple • 159 implied HN points • 10 Oct 23
🕹 Technology AI Machine Learning Data Models Embeddings
  1. Multi-modal AI integrates multiple types of data in the same training process, allowing models to represent data in a common n-dimensional space.
  2. Multi-modality adds an extra dimension to data, expanding the search space exponentially, enabling more diverse and powerful AI applications.
  3. While multi-modality enhances model performance, it does not solve fundamental issues with AI models like GPT, and simpler technologies may be more effective for certain use-cases.

Links for 2024-02-09

Axis of Ordinary • 78 implied HN points • 09 Feb 24
🕹 Technology AI Miscellaneous Politics
  1. Neural networks can now control behavior from pixels to actions without teleop or task-specific code.
  2. Transformers can play chess at a Grandmaster level when operating at a sufficient scale.
  3. Google AI has developed methods to improve generalization of models by addressing spurious features and simplicity bias.
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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.

OpenAI Sora Turbo: A Very Expensive Slot Machine

The Algorithmic Bridge • 254 implied HN points • 10 Dec 24
🕹 Technology AI Models Software Development Digital Media Tech industry Innovations
  1. Sora Turbo is a new AI video model from OpenAI that is faster than the original version but may not be better. Some early users are unhappy with the rushed release.
  2. This model has trouble with physical consistency, which means the videos often don't look realistic. Critics argue it still has a long way to go in recreating reality.
  3. Sora Turbo is just the beginning of video AI technology. Early versions may seem lacking, but improvements will come with future updates, so it's important to stay curious.

Creating Inclusive AI: A Strengths-Based Approach to Accessible Design

UX Psychology • 138 implied HN points • 10 Nov 23
🕹 Technology AI User Research Frameworks Methodology
  1. Designing AI systems using a strengths-based approach can empower users across a wide array of abilities, rather than highlighting deficits.
  2. Key frameworks like Universal Design, Ability-Based Design, and Design for User Empowerment help create more accessible and empowering intelligent systems.
  3. Using qualitative research methods like co-design and long-term engagement can provide deeper insights into diverse user experiences, enhancing the design process.

Brief: Pentagon's new AI chief is former Google Trust & Safety exec who previously helped guide U.S. special operations

All-Source Intelligence Fusion • 569 implied HN points • 14 Mar 24
🕹 Technology AI Digital Artificial Intelligence Machine Learning Social media
  1. Radha Iyengar Plumb, a former Google Trust & Safety exec, will become the Pentagon's new Chief Digital and AI Officer in April, replacing Craig Martell.
  2. Iyengar Plumb has had a diverse career, transitioning from a professor to roles at RAND, the National Security Council, Google, Facebook, and now the Pentagon.
  3. Executives like Iyengar Plumb moving between tech companies like Google and roles in the defense and intelligence community highlights the intersecting realms of technology and national security.

Understand how generative AI tools retain your data without dissecting their terms of service

Deploy Securely • 78 implied HN points • 09 Feb 24
🕹 Technology AI Data security Legal Compliance
  1. New products and services in the AI world frequently emerge, making it challenging to keep track of them all.
  2. Excessive data retention poses security risks as well as legal implications.
  3. It is crucial to stay updated on the data retention policies of service providers to manage security and legal risks effectively.

How American AI Chip Policy Could Lead Us Right into World War III

Future History • 190 implied HN points • 13 Feb 25
🕹 Technology AI Semiconductors Supply Chain International relations Chip Manufacturing
  1. The US heavily relies on Taiwan and South Korea for advanced chips. If China were to invade Taiwan, it could cut off the supply of these crucial components, affecting everything from smartphones to cars.
  2. Building chip manufacturing capacity in the US is not happening fast enough. The current efforts, including the Chips Act, are insufficient compared to what countries like South Korea are investing.
  3. Current tensions and trade policies can push China towards aggressive actions. If chip trade restrictions continue, it might lead to a conflict, putting the whole world at risk.

The stream processing model behind Google Cloud Dataflow

VuTrinh. • 39 implied HN points • 27 Apr 24
🕹 Technology Data processing Cloud Computing Big Data Software Engineering Stream Processing
  1. Google Cloud Dataflow is a service that helps process both streaming and batch data. It aims to ensure correct results quickly and cost-effectively, useful for businesses needing real-time insights.
  2. The Dataflow model separates the logical data processing from the engine that runs it. This allows users to choose how they want to process their data while still using the same fundamental tools.
  3. Windowing and triggers are important features in Dataflow. They help organize and manage how data is processed over time, allowing for better handling of events that come in at different times.

English is NOT a Programming Language 🤦

Sector 6 | The Newsletter of AIM • 79 implied HN points • 07 Feb 24
🕹 Technology Programming AI Software Natural Language Computing
  1. English has too many ambiguities to be a programming language. Programming needs precise rules, and English doesn't always follow them.
  2. Douglas Crockford, the creator of JSON, is worried about pushing English as a coding language. He believes that code must be perfect, which English is not.
  3. Using natural language through AI for programming might lead to confusion. Clarity and accuracy are crucial for writing successful code.

Is ChatGPT The Next MySpace?

Spilled Coffee • 20 implied HN points • 03 Dec 25
🕹 Technology AI Social media Innovation Market Trends Disruption
  1. Early leaders in technology often lose their advantage over time. Just because a company is first doesn't mean it will always be on top.
  2. MySpace was a huge success but fell out of favor quickly, reminding us that what’s popular today might not be popular tomorrow.
  3. AI could face a similar fate to MySpace, where its current dominance might not last as new, faster, and better options emerge.

DoRA is The New LoRA!

Aziz et al. Paper Summaries • 59 implied HN points • 07 Apr 24
🕹 Technology Artificial Intelligence Machine Learning Data science Programming Software Development
  1. LoRA helps fine-tune large language models without changing all their parameters. It uses two small matrices, which keeps the performance quick during use.
  2. LoRA's updates to weights can miss valuable details you'd get from full fine-tuning, because it treats magnitude and direction together.
  3. DoRA improves on LoRA by separating magnitude and direction, leading to better performance on reasoning tasks and other applications. It works best with smaller settings, making it efficient.

Nvidia's Margins May Be Safe

Tapa’s Substack • 59 implied HN points • 15 Mar 24
🕹 Technology AI Chips Networking Cost Analysis Performance
  1. Nvidia's GPUs are so good that even if competitors offered their chips for free, it's still not enough to beat Nvidia's performance. Overall, focusing only on GPU prices misses the bigger picture of total ownership costs.
  2. Networking costs make up a large part of the expenses when using AI chip clusters. Even if you find a cheaper GPU, the added networking costs can make it more expensive overall.
  3. AI chip startups need to consider the entire system's costs, not just the price of the chips themselves. If they don't, they may struggle to compete with Nvidia's established products.

Spotlight: Raphael Roettgen - General Partner @ E2MC

Space Ambition • 59 implied HN points • 15 Mar 24
🕹 Technology Space Tech Venture Capital Deep Tech Entrepreneurship Investment
  1. E2MC is a global venture capital firm focusing on space technology. They invest around $500k in seed and pre-seed stages, and they're open to startups worldwide, except in geopolitically complex areas.
  2. Raphael Roettgen aims to engage more people in the space sector. He wrote a book explaining the space economy, making it easier for entrepreneurs and investors to understand and join the industry.
  3. He emphasizes the importance of diverse talent in space tech. E2MC has a higher percentage of female leaders in its portfolio than the industry average, and he encourages educational efforts to support women in STEM fields.

Weekly Dose of Optimism #148

Not Boring by Packy McCormick • 98 implied HN points • 13 Jun 25
🕹 Technology Health tech AI Innovation Startups
  1. Childhood leukemia treatment has greatly improved, with survival rates jumping from under 10% in the 1960s to about 85% today in many countries. This is fantastic news for families and shows that medical advancements can really save lives.
  2. The World Bank is now willing to fund nuclear energy projects, which could help meet energy demands and reduce emissions. This is a positive step toward developing clean energy sources that are reliable and safe.
  3. Startup companies, especially in the tech and energy sectors, are seeing a lot of investment and growth. This surge in startup activity shows that innovation is alive and well, and it might lead to some exciting new advancements in the future.

Tidy Together Chapter: Long-Running Design Changes

Software Design: Tidy First? • 287 implied HN points • 30 Oct 24
🕹 Technology Software Design Development Innovation Programming
  1. Mixing design with features is important. It's good to experiment with designs while keeping an eye on the overall features.
  2. Timing matters when tidying up your work. It's helpful to tidy design just before implementation to keep things organized.
  3. When working on design changes, you have to decide when to start, continue, or stop. It's about finding the right balance in your workflow.

One AI-generated human race, part II

Conspirador Norteño • 16 implied HN points • 14 Dec 25
🕹 Technology Social media AI Content Moderation Misinformation Advertising Cybersecurity
  1. A coordinated TikTok spam network of at least 76 accounts posts highly repetitive AI-generated videos of nonexistent people, and many clips show obvious AI glitches.
  2. The network’s content has broadened from friendly messages to recurring themes like romantic couple scenes, dating prompts, and staged emergency workers, all using similar fake people and backgrounds.
  3. Many accounts later pivot to commercial spam—mainly dietary supplements in English and Spanish with Paid Partnership labels—suggesting the AI videos were used to farm engagement before trying to monetize.

Data Science Weekly - Issue 503

Data Science Weekly Newsletter • 219 implied HN points • 14 Jul 23
🕹 Technology Data science Machine Learning Artificial Intelligence Data Engineering Cloud Computing
  1. Machine learning is making its way into finance, and researchers are identifying practical uses for it. This can help finance professionals learn new tools and statisticians find interesting financial problems to solve.
  2. AI platforms, like social media, are becoming crucial in our lives but can be confusing and unreliable. People are figuring out how to use these platforms effectively despite their unpredictability.
  3. Large language models are changing how data scientists work. These models can automate many tasks, allowing data scientists to focus on managing and assessing the AI's outputs.

Collaborative Markdown with Lix Change Control

Opral (lix & inlang) • 7 HN points • 07 Aug 24
🕹 Technology Software Development Version Control Automation
  1. Using Lix Change Control for Markdown makes collaborative writing better. It helps everyone work together smoothly and keeps track of changes easily.
  2. With Lix, you can make changes, submit them for review, and see who changed what. This makes it easy to approve or reject edits.
  3. Automation features let you set rules for content quality and manage updates or translations. This saves time and ensures the final product is accurate.

It's a tale of two startups... humanoid of course

Robots & Startups • 19 implied HN points • 21 Jun 24
🕹 Technology Robotics Startups
  1. There are significant differences between two startups in the humanoid robotics industry, especially in terms of founders' backgrounds and experiences.
  2. One startup is founded by someone deeply experienced in serious robotics and commercialization, potentially making them a strong contender in the humanoid robotics market.
  3. The other startup's founder lacks a robotics background but has experience in raising large funding rounds, and this startup has attracted some controversy.

DNAe Early Access Update

ASeq Newsletter • 14 implied HN points • 19 Dec 25
🕹 Technology Biotech Diagnostics Instruments Hardware Startups Product News
  1. Sam Reed from DNAe publicly commented on earlier coverage, and the coverage was updated to reflect those comments.
  2. DNAe's news posts include posters that show an instrument different from the one on the official website, suggesting either a new model or inconsistent imagery.
  3. The full update is behind a paywall, so readers must subscribe or sign in to read the paid content.

AI applications are more than an LLM

The AI Frontier • 19 implied HN points • 20 Jun 24
🕹 Technology AI Software Programming Engineering Data
  1. AI applications are more than just using a big model; they need careful design and planning to be effective. It's like building a nice piece of furniture versus just putting some wood together.
  2. Quality comes with a cost, and building great AI solutions takes more time and resources. Cheaper options might save money now, but they often lead to poorer results.
  3. Not all AI applications perform the same, even if they use the same tools. Good performance comes from thoughtful engineering and working with the data properly.

Sabotaging the Miracle Machine: The High Cost of Luddite Policies

Future History • 80 implied HN points • 15 Jul 25
🕹 Technology Innovation Policy Health Energy Agriculture Society
  1. Technophobia can slow down progress, leading to missed opportunities in health and technology. This means that fear can directly cost lives and advancements we could have achieved.
  2. When activists oppose new technologies like nuclear energy or stem cell research, they may be unintentionally causing more harm. The costs of inaction include more pollution and fewer medical breakthroughs.
  3. Regulations should encourage innovation rather than stall it. Thoughtful regulation allows for safer technologies while helping society benefit from new advances.

Minds Aren't Programs. Neither Are AIs.

Outlandish Claims • 19 implied HN points • 20 Jun 24
🕹 Technology AI Artificial Intelligence Creativity Programming Machine Learning
  1. Most artificial intelligences were computer programs executed by code, fundamentally different from human minds.
  2. Artificial intelligence 'trainees', like GPT, aren't classified as programs or minds but act as learners mimicking human expertise.
  3. The process of creating AI 'trainees' involves converting inputs/outputs into numbers, forming formulas through trial and error, and testing for accuracy.

The Lab #40: start a web data monetization project with Data Boutique

The Web Scraping Club • 78 implied HN points • 08 Feb 24
🕹 Technology Data Monetization Web scraping Quality control
  1. Data Boutique is a marketplace for legally obtained web-scraped data with a focus on quality and easy accessibility.
  2. Sellers on Data Boutique align interests with the platform by offering affordable, high-quality data which encourages more purchases and recurring buyers.
  3. Ensuring data quality on Data Boutique involves embedded checks and a Peer Review program, promoting stackable standard data schemas for wider use cases.

GM Shaders: MRT

GM Shaders Mini Tuts • 98 implied HN points • 06 Jan 24
🕹 Technology Graphics Shaders Rendering Gaming Programming
  1. By using gl_FragData[0-3], you can output 4 separate fragment colors to up to 4 surfaces with one draw call
  2. Multiple Render Targets have various applications like deferred rendering, unique object IDs, and depth maps in 2D or 3D contexts
  3. Consider limitations with MRTs, like compatibility with platforms, VRAM usage, and controlling fragment outputs independently

Exposing Big Tech’s Complicity in Genocide | The Chris Hedges Report

The Chris Hedges Report • 226 implied HN points • 01 Jan 25
🕹 Technology Big Tech Censorship Data Privacy Corporate ethics Digital Rights
  1. Many big tech companies are accused of censoring information about the situation in Gaza, with some employees losing their jobs for speaking out against this censorship.
  2. Employees from companies like Meta, Microsoft, and Apple report that there are double standards when it comes to moderating content, often suppressing pro-Palestinian voices while allowing anti-Palestinian sentiments to thrive.
  3. Some tech companies are deeply involved in supporting military actions in Israel, providing necessary technology and services that could be used in the ongoing conflict.

what's all this then

eieio games • 119 implied HN points • 04 Dec 23
🕹 Technology Gaming Web Development Audience Building Creative Writing Internet culture
  1. The author, known as 'eieio', enjoys creating unique games and projects on the internet. They like using strange platforms to make fun experiences.
  2. They have a new project called stranger.video that pairs users for short, video-only chats. The call ends quickly, adding a fun twist to the experience.
  3. The author wants to build an audience but finds the process of audience-building uncomfortable. They promise to keep their communication genuine and low-key.

OpenAI Vision

Tribal Knowledge • 19 implied HN points • 20 Jun 24
🕹 Technology AI Image Processing OpenAI Programming
  1. Working with image processing technology can involve complex math but can also lead to practical and interesting projects like a Magic: The Gathering card detector.
  2. Reflecting on past coding projects can show growth in understanding software systems and the evolution of one's skills over time.
  3. Advancements in AI, like OpenAI's Vision API, have made tasks like image processing more accessible to engineers without the need for in-depth domain knowledge, offering a quicker way to experiment and validate ideas.

Maxell's MF 2-DD Floppies

Computer Ads from the Past • 256 implied HN points • 01 Dec 24
🕹 Technology Computers Electronics History Innovation Advertising
  1. Maxell started in 1960 as a battery company and later became well-known for making storage devices like audio cassette tapes.
  2. The MF 2-DD floppies from Maxell were a product in their lineup, showcasing the evolution of computer storage over the years.
  3. Maxell has a rich history of innovation, being the first to produce certain types of batteries and tapes in Japan.

How to avoid falling for deepfake scams

TechTalks • 78 implied HN points • 07 Feb 24
🕹 Technology Cybersecurity
  1. Don't panic about recent deepfake scams without more details on the case.
  2. The threat of deepfake scams is rising, so you should know how to safeguard yourself.
  3. Reining in instincts, using alternative communication channels, and verifying AI-generated material can protect you from deepfake scams.

What vulnerabilities were malicious actors focused on in 2022?

Resilient Cyber • 199 implied HN points • 14 Aug 23
🕹 Technology Cybersecurity Software Vulnerabilities Risk management Cloud Security
  1. Malicious actors focused heavily on Microsoft vulnerabilities in 2022, highlighting the importance for organizations to stay updated with security patches.
  2. Vendors and developers should identify often exploited vulnerabilities and hold business leaders responsible for security practices.
  3. End-user organizations need to enforce strong security measures, like multi-factor authentication, and continuously monitor their systems to protect against possible threats.