The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Making Generative AI Fun

Sector 6 | The Newsletter of AIM • 0 implied HN points • 28 Sep 23
🕹 Technology AI Open Source Startup Innovation Networking
  1. A Paris-based AI startup, Mistral AI, has created a new model that performs better than several other popular models. They’re making advances in AI while also keeping it fun.
  2. Before making their AI model available on GitHub, Mistral AI shared it directly on X (formerly Twitter). This move promotes the idea of open source and made it a more exciting release.
  3. Many people appreciate Mistral AI's approach to releasing their model. They see it as a way to truly support open-source principles without any extra middlemen.

The Golden Goose of Generative AI

Sector 6 | The Newsletter of AIM • 0 implied HN points • 05 Oct 23
🕹 Technology AI Investment Computing Startup Market Trends
  1. Generative AI is getting a lot of attention and investment, especially in Silicon Valley. Companies see it as a big opportunity for growth.
  2. Anthropic, a startup in this space, received a massive $4 billion investment from Amazon and is looking to raise even more funds to boost its market value.
  3. To keep up with competition, Anthropic needs money to improve its technology and computational power.

Researchers Want Galactica Back

Sector 6 | The Newsletter of AIM • 0 implied HN points • 06 Oct 23
🕹 Technology AI Machine Learning Research Software Innovation
  1. Meta launched a language model called Galactica, which had many useful features like summarizing papers and solving math problems.
  2. Unfortunately, the model was pulled just three days after its release because it produced inaccurate and random results.
  3. Many researchers now believe that the model should be reintroduced, thinking that the learning challenges are part of its development process.
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Coming soon: Unmoderated Insights

Unmoderated Insights • 0 implied HN points • 26 May 23
🕹 Technology Social media Data Analysis Human behavior Digital Trends Online Communication
  1. The blog focuses on breaking down complex topics into simple explanations. It's meant for people who like understanding things without the confusion.
  2. It emphasizes the importance of data over beliefs, especially regarding social technologies and their impact on our lives.
  3. The author invites readers to subscribe and share the blog with others who might enjoy it or benefit from it.

Big Tech "GenAI" Quarterly Report

Sector 6 | The Newsletter of AIM • 0 implied HN points • 29 Oct 23
🕹 Technology AI Cloud Computing Big Tech Earnings Reports Innovation
  1. Big tech companies are heavily focused on generative AI, with Google, Microsoft, Meta, and Amazon mentioning it a lot during their earnings calls. In contrast, Apple seems to be staying quiet about AI.
  2. Microsoft is performing really well in the cloud and generative AI space, especially through its partnerships with companies like OpenAI and Meta. This has helped them achieve a significant revenue increase.
  3. Compared to Microsoft, AWS and Google also saw revenue growth in their cloud services, but Microsoft outpaced them with higher growth numbers.

Subroutines Are Not Functions

Paul’s Substack • 0 implied HN points • 02 Jul 24
🕹 Technology Programming Paradigms Physics
  1. Subroutines are not functions designed to support functional paradigms, but rather to save code space at the cost of extra CPU cycles. They are non-reentrant and not thread safe.
  2. Physics teaches the technique of 'divide and conquer' using simplifying assumptions to focus on areas of interest, pushing aside unnecessary details.
  3. Different problems, involving time like video sequencing, robotics, gaming, etc., may benefit from using programming languages with paradigms other than the function-based one, like Prolog for relational paradigm.

Intel’s New Love

Sector 6 | The Newsletter of AIM • 0 implied HN points • 30 Oct 23
🕹 Technology Semiconductors Market Analysis Business Growth Tech industry
  1. Intel's revenue increased recently, going from $12.9 billion to $14.2 billion, mainly due to better conditions in the server chip and PC markets.
  2. Despite the recent growth, Intel's overall revenue is down 8% compared to the same quarter last year.
  3. The company's semiconductor plant has done really well, growing by 299% and earning $311 million in revenue this year.

Google Search Mania

Sector 6 | The Newsletter of AIM • 0 implied HN points • 02 Nov 23
🕹 Technology Search Engine AI Advertising Earnings Data Analytics
  1. Google is always trying to improve its search engine with new technology like generative AI, which helps make searches smarter and more useful.
  2. The company recently had a good quarter, making 11% more money than last year, mostly from ads related to its search services.
  3. With over $59 billion from advertising, it's clear that Google's search engine is still a major driver of its profits.

The Rise of AI Media (AIM)

Sector 6 | The Newsletter of AIM • 0 implied HN points • 08 Nov 23
🕹 Technology AI Media Journalism Content creation Digital Tools
  1. AI media is growing as companies use chatbots to engage users with their content online. This change is making websites more interactive.
  2. Journalism is also using AI for various tasks like writing articles, translating, and proofreading. This makes the process faster and often more efficient.
  3. However, the use of AI in media can lead to controversies, such as when AI generated misleading polls from sensitive content, raising concerns about accuracy and ethics.

Good Enough

Paul’s Substack • 0 implied HN points • 04 Jul 24
🕹 Technology Programming Syntax Languages Development
  1. Transpiling code between different languages can be challenging, especially when going from a low-level language like Scheme to a higher-level language like Python.
  2. Creating a higher-than-high-level language (HHLL) can help capture manual reverse-engineering processes and facilitate transpilation to different programming languages.
  3. Approaching complex coding tasks by manually writing scripts, creating grammars, and testing transpilers can help in achieving programming goals efficiently.

India’s Deepfake Dilemma

Sector 6 | The Newsletter of AIM • 0 implied HN points • 26 Nov 23
🕹 Technology AI Media Misinformation Regulation Film
  1. Deepfakes can spread misinformation and damage reputations, which some believe poses a threat to democracy. People are worried about how dangerous this technology can be.
  2. Despite the fears, deepfake technology has useful applications in movies and advertising, helping with video editing and creating special effects.
  3. It's important to consider both the risks and benefits of deepfake technology instead of focusing only on the negative aspects. Over-regulation may limit its potential good uses.

Ketchup!🥫🍅🥫🍅🧴

Sector 6 | The Newsletter of AIM • 0 implied HN points • 30 Jan 24
🕹 Technology AI Software Leadership Industry Trends Automation
  1. Google has stopped working with Appen because they faced some internal issues and the industry is moving towards more advanced AI solutions.
  2. Appen has had leadership problems, with their long-time CEO leaving and new executives exiting, affecting the company's stability.
  3. The company struggled with a decline in revenue and found it hard to adapt to the new generative AI landscape.

Soon Smartphones will be Obsolete

Sector 6 | The Newsletter of AIM • 0 implied HN points • 14 Oct 23
🕹 Technology AI Wearables Devices Smartphones Innovations
  1. Smartphones might soon be replaced by smart wearables like smartwatches and AI-powered glasses. These new devices are becoming more popular and could do everything smartphones do.
  2. Tech companies are creating exciting new products that use advanced AI like GPT-4. This technology is changing how we connect and communicate with each other.
  3. While new smartphones are still getting attention, the buzz around innovative wearables suggests a shift in how we will use technology in the future.

The Real ChatGPT is Finally Here

Sector 6 | The Newsletter of AIM • 0 implied HN points • 04 Oct 23
🕹 Technology AI Software Health tech Data science Automation
  1. ChatGPT struggled to meet initial expectations, often giving unreliable information. Many users realized it wasn't always trustworthy after the excitement wore off.
  2. The new GPT-4V(ision) has expanded ChatGPT's abilities, allowing it to read texts and understand images. This makes it much more versatile and useful for various tasks.
  3. A major breakthrough is in medical science, where radiologists can now use this model to analyze images from scans better. This helps them gather important information from X-rays and other medical images.

What’s in a Name?

Sector 6 | The Newsletter of AIM • 0 implied HN points • 08 Mar 24
🕹 Technology AI Software Startups Innovation Business Model
  1. Elon Musk is unhappy with OpenAI because it changed to a profit-focused and closed source approach. He suggested that they should change their name to reflect this.
  2. There's a funny idea that if OpenAI changes its name, it could be called 'ClosedAI'. This came from Musk's criticism of the shift in the company's values.
  3. ChatGPT generated new name ideas for OpenAI, like IntelliNet and QuantumAI. These names sound futuristic and innovative.

RDEL #27: The frequency and impact of destructive code reviews

Research-Driven Engineering Leadership • 0 implied HN points • 29 Jan 24
🕹 Technology Engineering Software Diversity Feedback Management
  1. Destructive code reviews can negatively impact team cohesion, trust, and psychological safety. It's crucial to address feedback delivery to maintain a positive work environment.
  2. 22% of respondents reported inconsiderate feedback at least once a year, showing a notable frequency of damaging criticism in code reviews. This highlights the importance of promoting constructive feedback culture.
  3. Destructive criticism was perceived to be less valuable and appropriate, especially impacting motivation and mood. Recognizing and addressing such feedback biases can help improve team dynamics.

When (Not) to XGBoost

Sector 6 | The Newsletter of AIM • 0 implied HN points • 12 Mar 24
🕹 Technology AI Machine Learning Data science Automation
  1. XGBoost is a popular tool in machine learning, but it's not always the best choice for every situation. It's important to understand when to apply it and when to use other methods.
  2. Many people now claim to be experts in AI after the rise of large language models, but AI includes a lot more than just these models.
  3. It's essential to know the broader landscape of AI techniques to make better decisions in data science and machine learning projects.

Humanoid Robots Are Now a Reality

Sector 6 | The Newsletter of AIM • 0 implied HN points • 18 Mar 24
🕹 Technology Robotics AI Automation Innovation Future Tech
  1. Humanoid robots are becoming more advanced and can perform a variety of tasks. They've evolved quickly, with new models showing improved abilities compared to earlier versions.
  2. Recently, a humanoid robot powered by OpenAI has shown the potential to move at speeds approaching that of humans. This indicates significant advancements in robotics technology.
  3. The development of these robots raises exciting possibilities for their use in everyday life. They could become helpful tools in many areas, from entertainment to assistance in daily tasks.

AI Unicorns or Purrnicorns?

Sector 6 | The Newsletter of AIM • 0 implied HN points • 23 Mar 24
🕹 Technology AI Startups Investment Innovation Market Trends
  1. Some AI companies that were once considered successful are now struggling to make profits. They are losing visibility and are referred to as 'purrnicorns' instead of unicorns.
  2. Stability AI is facing serious challenges, including losing key developers and a change in leadership. This indicates instability within the company.
  3. Investors are not happy with the direction of these companies, with some even putting them up for sale. This reflects a shift in confidence about their future.

Coming soon

Weekend Developer • 0 implied HN points • 29 Mar 23
🕹 Technology Newsletter
  1. There is a post coming soon on the website weekendprogrammer.substack.com
  2. The post includes a link to Dishit Devasia's profile on Substack
  3. Readers are encouraged to subscribe to the Weekend Developer newsletter

The Unrivalled Leader in GenAI

Sector 6 | The Newsletter of AIM • 0 implied HN points • 25 Mar 24
🕹 Technology AI Machine Learning Software Innovation Data science
  1. Accenture has made a huge impact in the generative AI space, making $1.1 billion in sales which is more than all the VC-backed startups combined. This shows they are leading the way.
  2. Compared to Accenture, major Indian tech companies like TCS and Infosys show less confidence in generative AI. They haven't reported specific earnings in this area, which raises concerns.
  3. The difference in performance between Accenture and these Indian companies could indicate a possible risk in the outsourcing industry as they navigate new technology trends.

Join me on Notes

Weekend Developer • 0 implied HN points • 13 Apr 23
🕹 Technology Social media
  1. The author has created a new space called 'Notes' on Substack for sharing links, short posts, quotes, and photos that don't fit into the newsletter.
  2. Readers are invited to join the author on 'Notes' to engage with content like work-in-progress updates and quick questions in a different format.
  3. There's a 7-day free trial offer to subscribe to Weekend Developer and access the full post archives.

Apple is Not Bananas over AI

Sector 6 | The Newsletter of AIM • 0 implied HN points • 27 Sep 23
🕹 Technology AI Privacy Hardware Software Innovation
  1. Apple focuses on edge AI rather than the generative AI trends many others are exploring right now. This means they want to run AI processes on devices instead of relying on servers.
  2. They are working with Stability AI to enhance their products, like Stable Diffusion, which shows they are interested in improving on-device capabilities.
  3. With on-device AI, Apple can protect user privacy, allow offline access, and help developers save money on server costs. This strategy highlights their commitment to user-friendly technology.

Multimodal Race Begins

Sector 6 | The Newsletter of AIM • 0 implied HN points • 25 Sep 23
🕹 Technology AI Software Models Development Innovation
  1. The competition for creating multimodal large language models (LLMs) is heating up, with big players like Google, OpenAI, Meta, and Stability AI involved.
  2. Stability AI has already launched three models: StableLM, Stable Diffusion, and Stable Audio, and they plan to combine these into a single powerful system.
  3. This development marks just the start of exciting advancements in multimodal AI, promising more integrated and versatile technology in the future.

From Messy to Marvelous: Mastering the Craft of Clean Code

Weekend Developer • 0 implied HN points • 18 Sep 23
🕹 Technology Coding Software Development Clean Code Refactoring Best Practices
  1. Clean code is essential for software maintainability, collaboration, debugging, scalability, and reducing technical debt.
  2. Principles of clean code include using meaningful names, avoiding code duplication, ensuring single responsibility, keeping functions small, maintaining consistent coding styles, focusing on testability, and continuous refactoring.
  3. Practical tips for writing clean code involve using descriptive names, breaking long functions into smaller ones, avoiding deep nesting, keeping comments updated, and removing dead code.

OpenAI’s High on Moral Compass

Sector 6 | The Newsletter of AIM • 0 implied HN points • 21 Sep 23
🕹 Technology AI Ethics Safety Protocols Innovation Regulation
  1. OpenAI is aware of the serious moral issues related to AI and how it can be used for harmful purposes, like creating dangerous substances.
  2. The company is setting up a Red Teaming Network to bring in experts from different fields to help make their AI models safer.
  3. This shows OpenAI's commitment to responsible AI by inviting collaboration to improve safety and address ethical concerns.

The Land of the Rising AI 🌞🇯🇵

Sector 6 | The Newsletter of AIM • 0 implied HN points • 17 Apr 24
🕹 Technology AI Cloud Innovation Business Partnerships
  1. OpenAI has opened its first office in Tokyo and released a special version of GPT-4 tailored for Japan. This is expected to encourage creativity and help local industries.
  2. Microsoft has invested nearly $2.9 billion in AI and cloud services in Japan. This move aims to enhance skills, research, and cybersecurity in the region.
  3. There is a growing interest and investment in AI technology in Japan, indicating a positive future for its development and integration into various sectors.

Generative AI Salaries in India

Sector 6 | The Newsletter of AIM • 0 implied HN points • 22 Apr 24
🕹 Technology Artificial Intelligence Job Market Skills Development Education
  1. Senior roles in large companies offering generative AI jobs can earn over INR 1 crore every year. This shows how high demand is pushing salaries up.
  2. Middle-sized companies and startups typically pay between INR 30-40 lakh, which is still a good amount compared to regular jobs.
  3. AI engineers with generative AI skills have seen their salaries rise by 50%, with some earning around INR 8.5 lakh, which is much higher than standard software engineers.

AI Needs No App Store

Sector 6 | The Newsletter of AIM • 0 implied HN points • 23 Apr 24
🕹 Technology AI Software Open Source Operating Systems
  1. Meta is open-sourcing its Meta Quest operating system, letting other companies create their own mixed reality devices. This is similar to how Google allows others to use Android for smartphones.
  2. Meta plans to open-source Llama 3, a move that aims to make AI independent from traditional app stores like Apple’s and Google’s.
  3. Zuckerberg believes AI shouldn't be controlled by big companies through app stores, which could limit innovation and access.

Apple Custom Silicon ✨

Sector 6 | The Newsletter of AIM • 0 implied HN points • 08 May 24
🕹 Technology AI Computing Hardware Software Innovation
  1. The new Apple M4 chip uses advanced 3-nanometer technology. This makes devices like the iPad Pro faster and more energy efficient.
  2. The M4 chip has a powerful Neural Engine that can handle huge amounts of data quickly. This improves features like Live Captions and Visual Look Up.
  3. Apple showcased the M4 chip at a recent event, highlighting its role in enhancing AI capabilities and display quality.

Unfolding AlphaFold 3 🧬✨

Sector 6 | The Newsletter of AIM • 0 implied HN points • 11 May 24
🕹 Technology AI Biotechnology Data science Drug Discovery Machine Learning
  1. AlphaFold 3 is an advanced AI model that improves protein and molecule interaction predictions by 50%.
  2. This technology goes beyond just analyzing protein structures to help design drug compounds that can bind to proteins.
  3. The goal of this AI is to enhance drug discovery, making it easier to create effective treatments.

Reflections on Strange Loop 2023

Splattern • 0 implied HN points • 25 Sep 23
🕹 Technology Conferences Software AI Engineering Collaboration
  1. Attending the Strange Loop conference opened up a lot of career options and sparked a sense of curiosity about the future. This experience has helped build confidence in exploring different paths beyond Amazon.
  2. Martin Kleppmann presented an interesting new algorithm for collaborative text editing. It allows for better version control and could improve the way edits are managed in various industries, like publishing.
  3. Randall Munroe, the creator of XKCD, shared his success story and emphasized the importance of sharing work with a Creative Commons license. His approach to making his comics accessible for free has helped him gain wide recognition and publicity.

AI will Create More Jobs Than There are People

Sector 6 | The Newsletter of AIM • 0 implied HN points • 13 May 24
🕹 Technology Artificial Intelligence Job Market Economics Automation Data Analysis
  1. AI is creating a lot of job openings, far more than the number of skilled workers available. This means many companies are looking for talent in this fast-growing field.
  2. In India alone, there's a huge gap between the jobs available in AI and the number of experienced engineers. Only about 2,000 senior AI engineers are actively working, while the job demand is skyrocketing.
  3. This situation shows a trend where advancements in technology can lead to job creation, even if there aren't enough people right now to fill those roles.

GenAI Revenue Soars Like Never Before

Sector 6 | The Newsletter of AIM • 0 implied HN points • 27 May 24
🕹 Technology AI Software Hardware Data Cloud
  1. NVIDIA had an incredible revenue increase of 629% compared to last year, showing how much generative AI is growing. It’s like finding unexpected money!
  2. Their data center revenue reached $22.6 billion, which is also a record. Demand for their GPU technology is really high right now.
  3. The success of generative AI is not slowing down, and NVIDIA is a key player in this tech market, with a 95% control over AI chip sales.

All About Physical AI

Sector 6 | The Newsletter of AIM • 0 implied HN points • 08 Jun 24
🕹 Technology AI Robotics Software Simulation Automation
  1. Physical AI is a newer type of technology that can understand instructions and do complex tasks by itself. It has the potential to change how industries operate.
  2. NVIDIA is a key player in this field, with its simulation tool called Omniverse helping to bring these advanced robotic technologies to life.
  3. The upcoming wave of AI involves integrating robotics deeply into our everyday lives, making it an exciting time for technological advancements.