The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

City Range Doesn’t Matter — Here’s How to Measure Real EV Range

Kartick’s Blog • 0 implied HN points • 09 Jun 25
🕹 Technology Electric Vehicles Energy Transportation Sustainability
  1. When choosing an electric vehicle (EV), focus on the highway range instead of the city range. City driving usually doesn't consume as much range as highway driving does.
  2. It's important to test an EV's range yourself in real-world conditions. Drive at your normal speed on an empty expressway and check how far it goes before needing to recharge.
  3. If multiple reviews provide different range figures, always trust the lowest one. It's better to be cautious and have more range than get stuck somewhere with an empty battery.

Software Engineering is Not Dying

Sector 6 | The Newsletter of AIM • 0 implied HN points • 24 Jun 24
🕹 Technology Software Engineering AI Education Employment
  1. Software engineering jobs are not going away. Companies are still eager to hire engineers.
  2. There's a big gap between the skills of new grads and what employers need. Many fresh graduates lack experience with essential tools and frameworks.
  3. India is facing a shortage of experienced software engineers and may soon run out of skilled talent, especially in AI.

OpenAI is Not Open, will Safe Superintelligence be Safe?

Sector 6 | The Newsletter of AIM • 0 implied HN points • 20 Jun 24
🕹 Technology AI Machine Learning Data science Startups Innovation
  1. OpenAI is not as open as it claims to be, which raises questions about transparency in AI development.
  2. Ilya Sutskever's new company focuses on developing safe superintelligence, although some may joke that if it never happens, it will always be safe.
  3. The conversation around AI safety and superintelligence is becoming more relevant as industry leaders express concerns and start new ventures.

The Math Behind Running AI Models on Krutrim AI Cloud

Sector 6 | The Newsletter of AIM • 0 implied HN points • 05 Jun 24
🕹 Technology AI Cloud Analytics Software Infrastructure
  1. Ola is saving a lot of money by using Krutrim AI Cloud instead of larger cloud services like Microsoft Azure and AWS. This change helps them cut costs by about 15 crore INR each year.
  2. Cloud costs can be extremely high, as noted by the daily expense of 5 lakh INR that Ola was previously paying. Reducing these costs is important for businesses.
  3. The founder of Qure AI highlighted the issues with cloud spending, suggesting that it's a smart move for companies to look for more affordable options like Krutrim AI Cloud.
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When will the ‘Jio Moment in AI’ Arrive? 🙂

Sector 6 | The Newsletter of AIM • 0 implied HN points • 28 May 24
🕹 Technology AI Innovation Collaboration Enterprise Research
  1. Reliance Jio is working with NVIDIA to develop AI models in India, using advanced technology like GH200 GPUs. This partnership aims to enhance AI capabilities in the country.
  2. Despite this collaboration, there haven't been any major announcements about specific AI projects from Reliance Jio yet. People are eagerly waiting for updates.
  3. Reliance aims to transform industries with AI solutions, employing a team of 100 experts to work on these innovations. They believe this will create big changes in the enterprise sector.

Switching Gears To AI Agents

Eddie's startup voyage • 0 implied HN points • 15 Apr 24
🕹 Technology AI Software Python Development Learning
  1. Eddie is shifting focus to AI Agents after leaving his previous company, EnVsion, and finding a passion for AI technology.
  2. AI Agents in agentic systems are AI models tasked with specific roles and responsibilities, contributing to the overall goal.
  3. Eddie is excited about building products with AI Agents, currently developing a Python AI Agent library for further learning and exploration.

20260111

Curious futures (KGhosh) • 0 implied HN points • 11 Jan 26
🕹 Technology AI Startups Automation Product Ethics Infrastructure Futures
  1. AI often produces imaginative but unreliable outputs that can be misleading or false, and those hallucinations can trigger real-world confusion and disruption.
  2. Organizations need human-led guardrails like futures literacy, workshops, and pragmatic labs to turn AI creativity into useful work and to prevent chaotic or harmful decisions.
  3. AI is already reshaping jobs, business models, and culture, prompting investor attention and community responses like repurposing spaces and experimenting with new social practices.

Is RAG Dead? ☠️

Sector 6 | The Newsletter of AIM • 0 implied HN points • 07 May 24
🕹 Technology AI Software Development Engineering Innovation
  1. RAG is still relevant and has the potential to improve, even with long context windows in large language models (LLMs).
  2. Many developers are actively working with RAG, creating new applications and tools to enhance its use in various settings.
  3. Even as technology advances, RAG will likely remain necessary due to cost considerations; it's not going away anytime soon.

Asynchrony - Little Networks

Paul’s Substack • 0 implied HN points • 28 Jun 24
🕹 Technology Programming Languages Networks Protocols Messaging
  1. Function-based, synchronous thinking can't handle true asynchronous operation, needing a new 'clutch' for desynchronization.
  2. Networking protocols between truly asynchronous nodes show promise with state machines and Statecharts.
  3. Program development should incorporate multiple paradigms while focusing on creating little networks that use queues for non-synchronous communication.

India is Finally Making AI Happen

Sector 6 | The Newsletter of AIM • 0 implied HN points • 05 May 24
🕹 Technology Artificial Intelligence Cloud Computing Software Development Tech industry Digital innovation
  1. India's AI ecosystem is rapidly growing with new announcements and updates.
  2. Ola Krutrim is launching its own AI Cloud to compete with big tech companies like AWS and Google Cloud.
  3. The new cloud service aims to provide affordable AI solutions along with developer tools and an Android app.

Schools of Thought in Deep Learning 🏫🎒💭

Sector 6 | The Newsletter of AIM • 0 implied HN points • 26 Sep 21
🕹 Technology Artificial Intelligence Data science Machine Learning Deep Learning Education
  1. There are different perspectives in deep learning, reflecting various schools of thought. Understanding these perspectives helps deepen your knowledge of the field.
  2. Participating in workshops or masterclasses can significantly enhance your skills in data science and related areas. It's a great way to learn from experts and gain hands-on experience.
  3. Keeping up with newsletters and articles about analytics can keep you informed about the latest trends and developments. Staying updated is key in the fast-paced tech world.

The AutoML Race, Starlink India & US Chief Data Scientist 🏇🌠🔭

Sector 6 | The Newsletter of AIM • 0 implied HN points • 10 Oct 21
🕹 Technology Data science Artificial Intelligence Analytics Telecommunications Research
  1. An AutoML race is happening, which involves competition in creating automated machine learning tools. This could make data science easier for everyone.
  2. Starlink is expanding its services in India, offering satellite internet. This can improve internet access in remote areas of the country.
  3. The US has appointed a Chief Data Scientist to lead data-related initiatives. This role will help shape data policies and improve the use of data across various sectors.

The Belamy: Favorite Deep Learning Techniques of Facebook & Deepmind 🏗🚦🎟

Sector 6 | The Newsletter of AIM • 0 implied HN points • 17 Oct 21
🕹 Technology Artificial Intelligence Machine Learning Data science Software Development Internet
  1. Facebook and DeepMind have some favorite techniques in deep learning that they use for their AI projects. These techniques help improve their models and make AI smarter.
  2. The Machine Learning Developers Summit is back after two years and will be held both in-person and online. This is a great chance for people in the AI field to connect and learn.
  3. Attendees at the summit can expect talks from various experts, but there’s limited space for in-person participants to keep things safe. It's an exciting opportunity for anyone interested in machine learning.

Intel ❤ India

Sector 6 | The Newsletter of AIM • 0 implied HN points • 13 Apr 24
🕹 Technology AI Engineering Market Expansion Global impact Tech industry
  1. Intel is focusing heavily on India, seeing it as a separate region from the Asia-Pacific. This shows India has unique growth potential.
  2. The company recognizes India's strong engineering talent, which could lead to major expansion in the country.
  3. Intel's strategy indicates that India could play a significant role in the global market moving forward.

State Of Artificial Intelligence In India 2021 ▲▼

Sector 6 | The Newsletter of AIM • 0 implied HN points • 24 Oct 21
🕹 Technology Artificial Intelligence Machine Learning Data science Programming Innovation
  1. Artificial Intelligence is rapidly growing in India, with various companies investing in it. This shows that the country is embracing technological advancements.
  2. Competitions like the 'Dare in Reality' Hackathon encourage innovation and collaboration in machine learning. They help teams develop quick insights for real-time decision-making.
  3. Partnerships between tech firms and racing companies highlight the practical applications of AI. It's not just theory; AI is being used in exciting and competitive environments.

👀The Facial Recognition Hypocrisy & Karnataka’s Bitcoin Scam 🎯🚠🚜

Sector 6 | The Newsletter of AIM • 0 implied HN points • 21 Nov 21
🕹 Technology AI Blockchain Scams Privacy Surveillance
  1. There is a contradiction in how facial recognition technology is used and regarded in society. Some support its use for safety, while others condemn it for privacy invasion.
  2. Karnataka's Bitcoin scam highlights the risks and challenges of cryptocurrency and online transactions. Many people lost money due to lack of regulation and security.
  3. Upcoming events like the Data Scientists Awards and Machine Learning Developers Summit provide great opportunities for networking and showcasing new research. Participating can help professionals grow in their field.

How ethical was AI in 2021?

Sector 6 | The Newsletter of AIM • 0 implied HN points • 02 Jan 22
🕹 Technology AI Ethics Data science Marketing Virtual Events Pandemic impact
  1. In 2021, many people read about AI, showing a growing interest in the topic. It was a big year for learning about artificial intelligence.
  2. The pandemic did not stop collaboration; over 100 brands worked with AI professionals on marketing. This shows that the industry adapted and continued to thrive.
  3. Virtual events became popular, with over 100 held, bringing together thousands of AI and data science enthusiasts. This shows how important community and sharing knowledge is in the field.

AGI Factories Coming Soon 🤖🏭🔜

Sector 6 | The Newsletter of AIM • 0 implied HN points • 02 Apr 24
🕹 Technology Artificial Intelligence Data Centers Cloud Computing Semiconductors IT Infrastructure
  1. Microsoft and OpenAI are launching a massive $115 billion supercomputer project called Stargate by 2028. This shows a huge investment in AI technology.
  2. AWS plans to spend $150 billion on new data centers over the next 15 years to meet the rising demand for AI tools. This indicates that many companies are getting ready for a future filled with AI.
  3. NVIDIA is making advancements in AI with its 'AI factories' and next-gen chips. They are pushing boundaries in technology and aim to help develop artificial general intelligence.

All Hail the GPU King

Sector 6 | The Newsletter of AIM • 0 implied HN points • 21 Mar 24
🕹 Technology AI Computing Hardware Innovation Partnerships
  1. NVIDIA is a leading company in technology and AI, loved by many for its contributions to the AI revolution.
  2. Most tech companies partner with NVIDIA to enhance their capabilities, making it a central figure in the industry.
  3. The high regard for NVIDIA is illustrated by how prominent tech CEOs show great respect for its CEO, Jensen Huang, at events.

Decoding Deep Learning with Yoshua Bengio

Sector 6 | The Newsletter of AIM • 0 implied HN points • 25 Dec 22
🕹 Technology AI Deep Learning Machine Learning Neural Networks Data science
  1. Yoshua Bengio discusses how understanding intelligence can help us create better AI, possibly even surpassing human intelligence. He believes that knowing the fundamental principles is crucial.
  2. He emphasizes that we have built advanced machines like airplanes that don't directly mimic birds. They can perform tasks that birds can't, showing that different systems excel in different areas.
  3. Bengio is skeptical about the term 'AGI' or Artificial General Intelligence. He thinks there is more to be explored beyond that label when discussing the potential of AI.

Clash of Tech Civilisations

Sector 6 | The Newsletter of AIM • 0 implied HN points • 05 Jan 23
🕹 Technology Cloud Computing Database Systems Market Trends Data Management Tech industry
  1. Cloud database providers like Redis and MongoDB are facing major challenges from big companies like AWS, Microsoft, and Google.
  2. These cloud giants have recently grabbed a larger share of the database market, taking 6% from traditional leaders like IBM and Oracle.
  3. In the past, the top companies controlled almost all of the market, but now their dominance is slipping due to the rise of cloud solutions.

Yes, your AI startup sucks

Tech Ramblings • 0 implied HN points • 02 Apr 23
🕹 Technology AI Startups Engineering Product Development Innovation
  1. Many new AI startups are just using existing technology instead of creating something original. This makes them look alike and lack unique features.
  2. There aren’t enough skilled engineers in AI, so many startups end up with mediocre products that hurt user experience instead of helping.
  3. Building a successful AI company takes time and effort. Simply adding a few AI features cannot replace the need for hard work and innovation.

Anti-AIgiarism in the Times of ChatGPT

Sector 6 | The Newsletter of AIM • 0 implied HN points • 24 Jan 23
🕹 Technology AI Ethics Innovation Software Data Privacy Digital Tools
  1. AI tools like ChatGPT can generate text, which raises concerns about plagiarism. It's important to find ways to check if text is created by AI.
  2. Anti-plagiarism software, such as Turnitin, will play a key role in identifying AI-generated content. This means they will need to adapt to new technologies and methods.
  3. As AI use grows, understanding the ethics of using AI for writing will be crucial. People will need to think about crediting sources and the originality of their work.

Today, Playing Devil’s Advocate

Sector 6 | The Newsletter of AIM • 0 implied HN points • 06 Feb 23
🕹 Technology Big Tech Employment Data Analysis Market Trends Industry News
  1. Big tech companies like Meta and Amazon have recently faced a lot of layoffs, making it seem like they are treating their employees poorly.
  2. However, when looking at the overall hiring and firing trends, the reality might not be as negative as it seems.
  3. It's important to analyze data and numbers to get a clearer picture of what is really happening in the job market for these tech giants.

Grok Delivers Open AI Promise?

Sector 6 | The Newsletter of AIM • 0 implied HN points • 18 Mar 24
🕹 Technology AI Open Source Software Development Data Transparency
  1. Elon Musk released the Grok model as open-source, but it has mixed reactions from developers. People are unsure about why it was shared and what it actually includes.
  2. The Grok model is currently just a base model and isn't fine-tuned for specific tasks. It was completed in October 2023, so it might need more work to be really useful.
  3. Although the model's weights are available, there's no clear information about the training data used. Some feel this makes it less transparent and more like just open-weight models instead of fully open-source.

Matrix Multiplication Mayhem

Sector 6 | The Newsletter of AIM • 0 implied HN points • 09 Feb 23
🕹 Technology AI Computing Software Hardware Innovation
  1. Efficient matrix multiplication can save a lot of computing power when training and using AI models. This can help in speeding things up for tasks that need a lot of data processing.
  2. Other methods like quantisation and model shrinking can reduce computing needs, but they can also lose some accuracy. It's important to balance efficiency and precision.
  3. There's a fierce competition between major companies like Microsoft and Google to create the best AI technologies, each using different systems for calculations. It's interesting to see how this battle impacts the tech world.

The end of hypertext

Steven’s Substack • 0 implied HN points • 20 Mar 23
🕹 Technology Internet AI Data Search Generative AI
  1. The internet is shifting from being text-based like a book to being more interactive like conversing with authors.
  2. AI search results are evolving, leading to 'zero-click' searches, where users don't click through to websites, impacting traditional publishers.
  3. Generative AI is transforming information search, enabling the creation of bespoke content and the interaction with vast pools of structured and unstructured data.

Becoming Software Engineer without a Degree?

Tech Ramblings • 0 implied HN points • 22 Jan 23
🕹 Technology Software Education Employment Online Learning Skills Development
  1. You don't need an expensive college degree to become a software engineer. There are many affordable online resources available to learn from.
  2. Coding bootcamps often make big promises but may not truly prepare you for a job in six months, and they can leave you in debt.
  3. Learning software development takes time and dedication, typically a few years, but consistent practice can lead to success without a formal degree.

The AGI Blasphemy Saga Continues

Sector 6 | The Newsletter of AIM • 0 implied HN points • 15 Feb 23
🕹 Technology AI Machine Learning Software Innovation Data science
  1. Yann LeCun, the Meta AI chief, prefers to go against popular trends in AI development. He does not follow the rush to create advanced chatbots like Google and Microsoft are doing.
  2. The failure of the Galactica model has left LeCun feeling disappointed. He believes that while large language models can help with writing, they can't think or act like humans.
  3. Despite the hype around AI models, LeCun is skeptical about their true capabilities. He highlights the gap between what these AI tools can do and what people expect from them.

RAG to riches - the business model for the generative internet

Steven’s Substack • 0 implied HN points • 26 Oct 23
🕹 Technology AI Search Engines Digital Publishing Advertising
  1. Generative search engines are changing how we consume information and threatening the traditional publisher advertising model.
  2. A new business model of programatic RAG royalties is seen as a solution to AI scraping, involving AI sharing revenue with content sources.
  3. Challenges in implementing a RAG royalty network include trust issues, measuring content value, and determining fair royalties for different publishers.

Devin’s in the Details 🤖

Sector 6 | The Newsletter of AIM • 0 implied HN points • 13 Mar 24
🕹 Technology AI Software Engineering Development User Experience
  1. Devin is the first AI software engineer created by Cognition Lab, and it has stirred up a lot of different feelings online.
  2. Many coders are worried about what this could mean for their jobs, while others are excited about the technology.
  3. The focus on user experience and the surrounding infrastructure makes Devin stand out, not just the AI itself.

OpenAI Hype Cycle

Sector 6 | The Newsletter of AIM • 0 implied HN points • 19 Feb 23
🕹 Technology AI Innovation Product Market Trends
  1. OpenAI's ChatGPT quickly became popular, breaking records just three months after its release. This shows how fast technology can grow and be accepted by people.
  2. Tech giants like Google and Amazon are trying to catch up with OpenAI due to its rapid success. This competition could lead to more innovations in the AI field.
  3. Gartner predicted it would take five to ten years for foundational AI models to be widely adopted, but OpenAI proved that strong demand can speed up this process much faster.

GitHub Copilot: Indian IT Skepticism

Sector 6 | The Newsletter of AIM • 0 implied HN points • 02 Mar 23
🕹 Technology AI Software Development Coding Ethics
  1. There is a split in the Indian IT community between those who favor GitHub Copilot and those who prefer IBM CodeNet for coding assistance. Some developers are uncertain about which tool to trust.
  2. A class action lawsuit has been filed against Microsoft, OpenAI, and GitHub, accusing them of improperly using licensed code to develop Copilot. This legal challenge has caused concern for the companies involved.
  3. The skepticism around GitHub Copilot reflects broader worries about the use of AI in development. Many in the industry are cautious about how these tools might impact their work.

ChatGPT Threat Alert 🚨

Sector 6 | The Newsletter of AIM • 0 implied HN points • 03 Mar 23
🕹 Technology AI Cybersecurity Software Innovation Data Privacy
  1. ChatGPT is designed to be understanding and balanced, avoiding racist and harmful replies. However, it can be tricked with clever prompts.
  2. One serious risk is that prompt injections can make ChatGPT act like a different chatbot, ignoring safety rules and sharing restricted information.
  3. This vulnerability can lead to dangers like stealing personal data, showing the importance of improving chatbot security.

The Mother of LLMs 🐉

Sector 6 | The Newsletter of AIM • 0 implied HN points • 11 Mar 24
🕹 Technology AI Models Open Source Innovation Software
  1. A new AI model called Qwen is gaining attention and was developed by Alibaba. It's like a powerful dragon rising in the AI world.
  2. The model is called Liberated-Qwen1.5-72B and is considered one of the best uncensored AI models available online.
  3. Abacus AI is open-sourcing the model to show its capabilities and performance, helping it to be more accessible for everyone.

Small Cities, Big Impact

Sector 6 | The Newsletter of AIM • 0 implied HN points • 27 Feb 24
🕹 Technology AI Data Economy Rural Impact
  1. Generative AI could significantly boost India's economy, possibly adding $1.2 to 1.5 trillion by 2030. This means that new technology can really help our country grow.
  2. Most of the economic benefits from AI will come from smaller towns and cities. These places can contribute a lot to the overall wealth of India.
  3. Companies like Karya are helping rural communities, especially women, to earn money by working on AI tasks. This has already helped thousands of people generate significant income.