The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

🔐 A Practical Guide to Structuring Your Technical Program

Building Rome(s) • 11 implied HN points • 09 Jul 23
🕹 Technology Program Management Templates
  1. A Program Structure involves activating a program at tactical and strategic levels by focusing on information, communication, and momentum.
  2. The foundational pillars of Program Structure are Information, Communication, and Momentum.
  3. Having a solid foundation and refining it based on program needs is essential for successful program activation and structuring.

July Newsletter

RSS DS+AI Section • 11 implied HN points • 03 Jul 23
🕹 Technology Data science Artificial Intelligence Ethics Research Applications
  1. The newsletter features updates on industrial strength data science, including committee activities and upcoming events.
  2. Ethics, bias, and diversity remain hot topics in data science and AI, with examples of generative AI misuse and intentional misuse.
  3. The newsletter includes practical tips, developments in research, and fun projects in the data science and AI field.

Data Science Weekly - Issue 374

Data Science Weekly Newsletter • 19 implied HN points • 21 Jan 21
🕹 Technology Data science Machine Learning Artificial Intelligence Software Development Research
  1. Controlled experiments are important for understanding the impact of new features in software. They help ensure that changes actually improve user experience and metrics.
  2. Deep learning is being used in various scientific fields, making tools like DeepChem important for democratizing access to advanced technologies. This helps researchers across disciplines like chemistry and bioinformatics.
  3. There are innovative methods for diagnosing diseases like prostate cancer using AI. These techniques can offer high accuracy and reduce the need for invasive procedures.
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AprilTags: Why Robotics Invented Its Own QR Code

Luminotes • 7 implied HN points • 09 Feb 24
🕹 Technology Robotics Computer Vision Algorithms Open Source Image Processing
  1. AprilTags are similar to QR codes but are used as fiducial markers in robotics for localization purposes.
  2. AprilTags, created by the reputable robotics lab April, enable systems to localize features in 6 degrees of freedom using a single image.
  3. AprilTags differ from QR codes as they are designed for easy detection in low resolution, unevenly lit, or cluttered images and can detect multiple tags.

LLM Chronicles #6: How To Build Competitive Advantage In AI Startups?

Pratik’s Pakodas 🍿 • 12 implied HN points • 10 May 23
🕹 Technology AI Startups Innovations Strategies Competitive advantage Business Models
  1. Focus on building a competitive advantage in AI startups by leveraging niche markets and verticals.
  2. Consider using open-source AI models and iterating smaller models to strengthen the modeling moat.
  3. Explore value-based pricing, outcome-based pricing, and other strategies to align pricing with customer needs in AI startups.

The best (free) AI courses you can take

Year 2049 • 11 implied HN points • 07 Jul 23
🕹 Technology AI Online Courses
  1. Andrew Ng's 'AI for Everyone' course is a great introduction to AI for all backgrounds.
  2. Cassie's 'Making Friends with Machine Learning' dives deeper into technical AI and ML concepts.
  3. Consider exploring the Google Generative AI Learning Path for a specific focus on generative AI.

Build for on-chain natives or mask crypto entirely

Parth's Playground • 12 implied HN points • 08 May 23
🕹 Technology Cryptocurrency Startups Strategy Innovation Business Models
  1. If you're building a crypto consumer app, focus on on-chain natives or hide crypto completely until necessary.
  2. For on-chain natives, solve urgent problems they face, as they are more likely to try new things and bring in new users.
  3. Startups should not try to force a market to happen, but rather provide a platform to highlight new projects and quickly see what resonates with mainstream audiences.

Data Science Weekly - Issue 373

Data Science Weekly Newsletter • 19 implied HN points • 14 Jan 21
🕹 Technology Data science Machine Learning Artificial Intelligence Computer Vision Software Development
  1. Machine learning is being used a lot in developmental biology. It helps scientists work with big data from things like images and gene studies, making analysis easier.
  2. There's a growing need for data engineers, with many companies looking for these roles. Focusing on engineering skills can open up more job opportunities than traditional data scientist roles.
  3. The U.S. government has started an initiative to promote and oversee artificial intelligence. This shows how important AI is to the economy and security of the nation.

UX Roundup: AI Narrows Skill Gaps | Apple Vision Pro | Jakob Live | Google Image FX | Hyperspecialized UX | Google Gemini | TV Shoot | OpenAI Growth

Jakob Nielsen on UX • 7 implied HN points • 12 Feb 24
🕹 Technology AI AR/VR UX TV AI Ethics
  1. AI can narrow skill gaps for users, enhancing productivity and improving work quality.
  2. Apple Vision Pro's UI has strengths and weaknesses for augmented reality experiences.
  3. Specialized UX jobs, like those at Tesla, suggest a trend towards hyperspecialized UX roles.

The Techno-Optimist Manifesto

Marc Andreessen Substack • 9 HN points • 16 Oct 23
🕹 Technology Innovation Digital economy Artificial Intelligence Energy
  1. Technology has been and continues to be a crucial driver of progress and advancement in human civilization.
  2. Techno-Optimists believe in the power of free markets and the importance of technological innovation in driving economic growth.
  3. Techno-Optimists embrace ambition, intelligence, and the pursuit of abundance through technology, rejecting stagnation and advocating for a future of adventure and exploration.

#45

The Nibble • 7 implied HN points • 04 Feb 24
🕹 Technology AI Browsers Biometrics Development Innovation
  1. The end of the ZIRP Era means changes in job market and R&D funding in tech.
  2. Google is changing reCAPTCHA with reduced free evaluations and new pricing plans.
  3. Apple introduces OpticID biometric authentication and Pixel 8 has 'circle to search' feature.

Data Science Weekly - Issue 372

Data Science Weekly Newsletter • 19 implied HN points • 07 Jan 21
🕹 Technology Data science Machine Learning Artificial Intelligence NLP Deep Learning
  1. DALL·E is a powerful AI that creates images from text descriptions, showcasing its ability to combine different ideas and concepts in creative ways.
  2. Machine learning is making significant strides in healthcare, but it also comes with risks that need careful consideration to ensure patient safety.
  3. Transformers have revolutionized natural language processing and are now being applied to various tasks in computer vision, improving how we manage data.

Initializing an EIP-2535 Diamond for deployment and upgrades

EIP-2535 Diamonds • 7 implied HN points • 28 Jan 24
🕹 Technology Smart Contracts Blockchain Ethereum
  1. In smart contract systems, a unique method is required to initialize state variables in proxy contracts or diamonds.
  2. EIP-2535 Diamonds offer a better way to initialize by writing a single initialization function for all facets.
  3. The recommended approach is to use composition instead of inheritance for initialization to keep code clean and efficient.

Data Science Weekly - Issue 371

Data Science Weekly Newsletter • 19 implied HN points • 31 Dec 20
🕹 Technology Machine Learning Data science AI Research Technology Tools Statistical Analysis
  1. Real-time machine learning is becoming important for many companies. Some have invested heavily in the right infrastructure and are seeing good results.
  2. There are many new tools for machine learning and MLOps. Keeping track of these tools can help in improving workflow and project success.
  3. Understanding concepts like Markov models can help in planning routines, such as workouts, based on previous choices. This helps in making smart decisions about what to do next.

Putting the digital in nomad

My Home Office Hacks • 10 implied HN points • 14 Aug 23
🕹 Technology Remote work Quote
  1. Invest in a portable wifi router for reliable internet connection while working remotely.
  2. Consider a WiFi extender to improve internet signal strength in different areas of your home.
  3. Explore networking opportunities with groups like Digital Power Team for business growth.

Quantum ML Journey: A Fireside Chat with Amira Abbas

Deep-Tech Newsletter • 19 implied HN points • 20 Oct 20
🕹 Technology Quantum Computing Data science Programming
  1. The course aims to help reduce the mathematical barrier to Quantum Computation for software engineering and data science professionals interested in the field.
  2. Encouraging and nurturing professionals from diverse backgrounds, like Amira Abbas, in the deep-tech industry can lead to innovation and potential for emerging technologies.
  3. There is untapped talent in Africa, and providing education, support, and opportunities can unlock brain power for the deep-tech industry on the continent.

#27

The Nibble • 9 implied HN points • 01 Oct 23
🕹 Technology Software Development Gadgets AI Internet
  1. Spotify introduced a new personalized collaborative listening feature called Spotify Jam.
  2. Deno, NodeJS, and Bun are in a race to optimize JS ecosystem performance.
  3. Google is discontinuing Google Podcasts and Google Jamboard.

Data Science Weekly - Issue 370

Data Science Weekly Newsletter • 19 implied HN points • 24 Dec 20
🕹 Technology Data science Machine Learning Artificial Intelligence Programming Analytics
  1. NeRF technology made big waves in 2020, changing how we render 3D images with neural networks. It’s a cool new area in data science that’s just starting to grow.
  2. DeepMind's MuZero AI is impressive because it learns the rules of games by itself, improving how we analyze videos. This could lead to cost cuts for platforms like YouTube.
  3. If you're looking to start a career in data science, there are practical guides available. These can help you with everything from filling knowledge gaps to creating a strong portfolio.

Super Weights in LLMs - How Pruning Them Destroys a LLM's Ability to Generate Text ?

Machine Learning Diaries • 3 implied HN points • 18 Nov 24
🕹 Technology Machine Learning Artificial Intelligence Data science Model optimization Software Development
  1. Super weights are very important for how well large language models (LLMs) perform. Even though they're a tiny part of the model, they can greatly affect the results.
  2. If a super weight is removed, it can ruin the model's ability to generate clear text and make predictions. Just taking out one of these weights can cause a huge drop in performance.
  3. Removing regular outlier weights doesn't harm performance much, but losing just one super weight is much worse than taking out a lot of other weights combined.

The Dead Internet Prophecy

Seeking Tribe • 13 implied HN points • 05 Mar 23
🕹 Technology AI Tools Social media Content Generation Generative AI Virtual reality
  1. The internet is changing due to generative AI tools, leading to a potential future where social media is filled with bots.
  2. Niche social media platforms may struggle to compete against big platforms like Twitter, Instagram, and Facebook.
  3. AI tools are advancing, potentially leading to issues like high-fidelity spam, deep fakes, and unrealistic beauty standards.

Differentiation During Virtual Meetings

Tippets by Taps • 10 implied HN points • 02 Aug 23
🕹 Technology
  1. Upgrading your videoconferencing setup can help you stand out in virtual meetings.
  2. Invest in quality equipment like a good camera, microphone, and lighting.
  3. Pay attention to your background as it can also enhance your videoconferencing setup.

Data Science Weekly - Issue 369

Data Science Weekly Newsletter • 19 implied HN points • 17 Dec 20
🕹 Technology AI Data science Machine Learning Software Engineering Statistics
  1. Companies are changing how they share information because of AI. They're making their reports easier for machines to read, which can influence market behavior.
  2. Monitoring machine learning models is essential for maintaining accuracy. It's important to detect issues like outliers and changes in data patterns in real-time.
  3. Deep learning research often helps engineers tackle real-world problems effectively. Insights from recent research can guide better practices in building and deploying models.

June Newsletter

RSS DS+AI Section • 11 implied HN points • 02 Jun 23
🕹 Technology Data science Generative AI Open Source AI Development Ethics
  1. June newsletter focuses on Open Source special, including recent developments in the open source community.
  2. The newsletter highlights activities of the committee, discussions on AI ethics and diversity, and advancements in generative AI.
  3. An in-depth exploration of the open source explosion driven by the development of generative AI, showcasing the surge of open source capabilities and research contributions.

Data Science Weekly - Issue 368

Data Science Weekly Newsletter • 19 implied HN points • 10 Dec 20
🕹 Technology Data science Machine Learning Artificial Intelligence Deep Learning Data Tools
  1. Machine learning needs systematic approaches to create strong systems for real-world use. This means looking beyond just algorithms to see the bigger picture.
  2. Deep neural networks are powerful, but understanding how they work can be tricky. Tools like network dissection can help us figure out what these networks are really doing.
  3. Feature stores are becoming important for machine learning. They allow teams to share and manage data better for creating and deploying models quickly.