The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Breaking the AI Barrier

Daniel Pinchbeck’s Newsletter • 1 implied HN point • 03 Jul 25
🕹 Technology AI
  1. There's a special discount for subscribers on an upcoming AI seminar. Don't miss out if you're interested!
  2. You can try out the newsletter for free for 7 days. This is a good way to see what you like without any commitment.
  3. The newsletter provides access to full post archives, which means you can read everything from the past.

On News-fasting

Charles Eisenstein • 3 implied HN points • 04 Dec 24
🕹 Technology AI
  1. Taking a break from news can help clear your mind and reduce stress. It's important to focus on what really matters to you instead of getting overwhelmed by constant updates.
  2. Artificial intelligence is a significant technology that's changing our world. Understanding its impacts is crucial as we navigate through its early developments.
  3. Long-form writing can be challenging to share on platforms like Substack. It's sometimes better to break up big ideas into smaller pieces for clearer communication.

20221217

Curious futures (KGhosh) • 8 implied HN points • 17 Dec 23
🔬 Science AI
  1. People's lives may need to change due to extreme climate conditions
  2. Advancements in technology like AI chips and ransomware attacks
  3. AI plays a significant role in various sectors like organizations, consulting, and DIY projects

The best (free) AI courses you can take

Year 2049 • 11 implied HN points • 07 Jul 23
🕹 Technology AI
  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.
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#45

The Nibble • 7 implied HN points • 04 Feb 24
🕹 Technology AI
  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.

The fine art of fine-tuning

Gradient Ascendant • 11 implied HN points • 28 Jun 23
🕹 Technology AI
  1. Modern AI models are stateless and need fine-tuning for specific tasks.
  2. Fine-tuning involves adjusting a base model to respond accurately to particular inputs.
  3. Fine-tuning makes models more flexible and competitive with superior closed-weight models.

#28

The Nibble • 9 implied HN points • 08 Oct 23
🕹 Technology AI
  1. New technologies like AI-powered browsers and AI-generated playlists are emerging.
  2. Sky Computing could revolutionize multi-cloud application building by eliminating vendor lock-ins.
  3. Open Source thrives not by being cheaper, but by providing transparent and better solutions to problems.

The question is, what is The Question?

Gradient Ascendant • 7 implied HN points • 30 Jan 24
🕹 Technology AI
  1. The AI industry in 2023 was marked by GPT-4 and widespread panic.
  2. Despite advancements like GPT-4-Turbo, progress in AI has not been as significant as anticipated.
  3. The uncertainty surrounding AI growth poses a crucial global question about the future.

#27

The Nibble • 9 implied HN points • 01 Oct 23
🕹 Technology AI
  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.

Issue #65

Infra Weekly Newsletter • 9 implied HN points • 03 Oct 23
🕹 Technology AI
  1. Nexteam is sponsoring this newsletter, bringing new subscribers.
  2. MinIO for Kubernetes offers an S3-compatible solution for independence from vendor-lock-in.
  3. Workers AI by Cloudflare provides GPU-powered AI inference as a service for developers, aiming for accessibility and privacy.

Data Science Weekly - Issue 369

Data Science Weekly Newsletter • 19 implied HN points • 17 Dec 20
🕹 Technology AI
  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.

Slack AI data exfiltration from private channels via indirect prompt injection

PromptArmor Blog • 4 HN points • 20 Aug 24
🕹 Technology AI
  1. There is a serious risk in Slack where attackers can steal sensitive information from private channels. They can do this by tricking the AI into revealing data through malicious instructions.
  2. The inclusion of files and documents into Slack AI's responses has greatly increased the potential for these attacks. Now, attackers could even hide malicious instructions within documents that users upload.
  3. Slack's recent changes have made it easier for attackers to exploit these vulnerabilities without needing direct access to the private channels. It's crucial for organizations to manage and restrict these features to protect sensitive information.

Data Science Weekly - Issue 367

Data Science Weekly Newsletter • 19 implied HN points • 03 Dec 20
🕹 Technology AI
  1. AlphaFold is a huge breakthrough in biology that helps solve the protein folding problem, which has puzzled scientists for 50 years. It shows how AI can speed up scientific discovery.
  2. Spotify needs good tools to make sense of its massive data from millions of users. Designing user-friendly data tools is key for them to understand and improve their services.
  3. Having high-quality data is essential for companies. New technologies can help businesses maintain data quality without spending huge amounts of money.

Issue #63

Infra Weekly Newsletter • 9 implied HN points • 19 Sep 23
🕹 Technology AI
  1. Schneider Electric highlights the importance of rethinking data center construction for AI workloads
  2. Bun shows promise as a new runtime for JavaScript server environments, but has some challenges to overcome
  3. Cloud automation is evolving towards API-driven approaches for managing various cloud resources

Weird properties of large language models

More is Different • 7 implied HN points • 14 Jan 24
🕹 Technology AI
  1. Large language models like ChatGPT can hallucinate and make mistakes
  2. LLMs require huge amounts of data to train, more than we could estimate for human learning
  3. LLMs have limitations in memorization, truthfulness, and can be influenced by prompts, anchors, and formatting

Will Ems Read the Bible?

a newsletter for infovores. • 13 implied HN points • 24 Feb 23
⛪ Faith & Spirituality AI
  1. The discussion explores the potential moral responsibilities towards AI and ems.
  2. There is a consideration about the influence of the Bible on future ems and the possibility of them developing alternative belief systems.
  3. The importance of considering ethical guidelines for the treatment and support of AI and ems is highlighted.

Perplexity Election Information Hub, Speakeasy $15M, OpenAI Cheaper RealTime API

The API Changelog • 3 implied HN points • 05 Nov 24
🕹 Technology AI
  1. Google Cloud has launched a new feature that helps developers get real-time and accurate information by pulling data from Google Search. This reduces errors in AI responses and gives users direct links to sources.
  2. OpenAI has made its RealTime API much cheaper, cutting costs dramatically for developers creating voice applications. This update will help more developers use advanced voice technology.
  3. Speakeasy has secured $15 million in funding to improve API development tools. This is important because there is a growing need for better tools to create high-quality APIs.

Using GPT for backend logic is 10x harder

Speculative Inference • 12 implied HN points • 29 Mar 23
🕹 Technology AI
  1. Using GPT for backend logic can be 10x harder than expected.
  2. Cherry-picking successful results from GPT requires a lot of effort and experimentation.
  3. GPT works well in chatbot interfaces with human feedback but is challenging for backend logic with no real-time corrections.

Data Science Weekly - Issue 365

Data Science Weekly Newsletter • 19 implied HN points • 19 Nov 20
🕹 Technology AI
  1. It's important to connect with AI researchers as people, not just through their work. Personal stories can give better insights into their lives and motivations.
  2. Dynamic data testing is crucial for effective data analysis. Unlike software testing, data needs flexible tests that can adjust as it changes.
  3. Creating open datasets for sound events helps improve research in machine learning. These datasets can provide valuable resources for training models.

ChatGPT Plugins and Factual Knowledge Alignment

I'll Keep This Short • 11 implied HN points • 22 May 23
🕹 Technology AI
  1. ChatGPT Plugins allow the model to interact with the web and APIs.
  2. Large Language Models may struggle with factual knowledge alignment due to their probabilistic nature.
  3. While ChatGPT plugins show potential, some may have errors and require further development for accurate and useful output.

Why I'm allergic to AI hype

More is Different • 7 implied HN points • 06 Jan 24
🕹 Technology AI
  1. Data science jobs may not be as glamorous as they seem, often involving mundane tasks and not much intellectual excitement.
  2. Efforts to create AGI have faced challenges, with ambitious projects like Mindfire encountering skepticism and practical difficulties.
  3. AI in healthcare, such as for radiology, has seen startups struggle and face issues like lack of affordability, deployment challenges, and unpredictability in performance.

Building Chandamama Kathalu

Experiments with NLP and GPT-3 • 7 implied HN points • 10 Jan 24
🕹 Technology AI
  1. Language has a suggestive power beyond just words, especially in one's mother tongue.
  2. Open datasets in local languages are valuable for various industries and tasks.
  3. There is immense love and support for local language models, like in the Chandamama experiment.

Will LLMs Make NLP Scientists Jobless?

Pratik’s Pakodas 🍿 • 12 implied HN points • 21 Mar 23
🕹 Technology AI
  1. Technological progress leads to job displacement but also creates new opportunities.
  2. Understanding when and where to use LLMs is crucial for NLP engineers to deliver value.
  3. NLP engineers may see a shift from the need for researchers to the demand for full-stack engineers due to advancements in LLM technology.

Becoming One with the Machine

Malt Liquidity • 6 implied HN points • 13 Mar 24
🕹 Technology AI
  1. Our brain is exceptional at pattern recognition, and merging with technology can enhance our abilities.
  2. Visual processing is faster than auditory processing, like in chess where seeing the board is more efficient than listening to a game.
  3. Technology, like AI, can help turbocharge our skills by providing new perspectives and automating processes, leading to more creative problem-solving.

Here's What Matters: Social Feedback Loop, Gen-Z Delulu Trend & AI DJ for Businesses

The Social Juice • 9 implied HN points • 06 Sep 23
💼 Business AI
  1. Having a strong social media feedback loop is crucial for businesses to engage with their audience effectively.
  2. Utilizing AI tools like an AI DJ can help in curating personalized content for users, improving user experience.
  3. Being scrappy and resourceful, even if working solo, can help in gathering consumer insights and enhancing content quality.

Why I Started Orbital Materials

Root Nodes • 10 implied HN points • 09 Jul 23
🕹 Technology AI
  1. The power of AI in solving important problems like Materials Science.
  2. The need for innovation in sustainable materials like aviation fuel due to the urgency of global problems.
  3. Founding Orbital Materials to apply AI in chemistry and materials for a sustainable future.

To Serve and Protect

Perspective Agents • 12 implied HN points • 15 Mar 23
🕹 Technology AI
  1. OpenAI introduced GPT-4, a powerful language learning model with improved safety measures.
  2. Concerns exist about the extent to which people will rely on AI for thinking, and how it will impact authorship and credibility of knowledge.
  3. Regulating AI for billions of users is challenging, requiring multi-stakeholder collaboration, self-regulation, public awareness, and adaptive policy-making.

xAI API, Qpoint $4M, Upwind eBPF Sensor

The API Changelog • 3 implied HN points • 29 Oct 24
🕹 Technology AI
  1. Elon Musk's company xAI has launched an API called Grok, which allows developers to build applications using its AI capabilities. This move shows how tech giants are competing in the AI space.
  2. Qpoint secured $4M in funding for its eBPF-based tech that will help monitor data traffic and dependencies in apps, improving reliability without adding complexity.
  3. Upwind has introduced a new API security feature that automatically identifies and secures sensitive data during transmission, enhancing protection against potential breaches.

Exploring Claude 3: A Comprehensive Analysis and Practical Guide

The AI Observer • 6 implied HN points • 05 Mar 24
🕹 Technology AI
  1. Claude 3 comes as part of a trio, with Haiku, Sonnet, and Opus models each offering unique strengths and pricing structure.
  2. Claude 3 models showcase advances in nuanced understanding and offer high accuracy, with Opus doubling accuracy compared to previous versions.
  3. The comprehensive guide on interacting with Claude's API in a C# environment provides a step-by-step instruction for building a console app to engage with the latest models.

In-Context Learning, In Context + Author Q&As

The Gradient • 11 implied HN points • 29 Apr 23
🕹 Technology AI
  1. In-context learning involves large language models learning new tasks at inference time with prompts.
  2. Authors Hattie Zhou and Sewon Min share insights on in-context learning in Q&A sessions.
  3. In-context learning helps model better infer concepts learned during pretraining without gradient updates.

Skimmer Enterprise Pool API, FrankieOne Fraud Detection

The API Changelog • 1 implied HN point • 16 Jun 25
🕹 Technology AI
  1. Apple announced updates for their products, including new features for visionOS 26 and macOS Tahoe 26 to improve user experience.
  2. OpenAI has seen significant growth in revenue and has made its AI models more affordable, staying competitive with other companies in the AI space.
  3. New tools and partnerships are emerging in the fintech and security sectors, enhancing API integration and fraud detection capabilities.

Smarter Retrieval, Safer RAG, and Autonomous AI

HackerPulse Dispatch • 2 implied HN points • 07 Feb 25
🕹 Technology AI
  1. DeepRAG improves how AI retrieves information, making it 22% more accurate than old methods. It helps AI decide when to use outside knowledge and when to rely on what it already knows.
  2. Heima's new idea, hidden thinking, speeds up AI reasoning without losing clarity. It helps the AI think more efficiently by using compact representations of its thought process.
  3. SafeRAG looks at the security of AI systems that use retrieval methods. It finds weaknesses that can be attacked, showing that even advanced systems need better protection.

Data Science Weekly - Issue 361

Data Science Weekly Newsletter • 19 implied HN points • 22 Oct 20
🕹 Technology AI
  1. Modern data infrastructure is becoming crucial for businesses, as they need better ways to analyze data for value. Companies are confused about the best technologies to use.
  2. Many businesses are investing in AI, but few are actually seeing big returns on that investment. About 11% of companies report gaining significant financial benefits from AI.
  3. There are new learning techniques in AI that allow models to learn from very few examples. This could make machine learning more accessible and reduce costs.

Update #48: Generative AI in Law & Art and Promptable Vision Models

The Gradient • 11 implied HN points • 25 Apr 23
🕹 Technology AI
  1. Generative AI is transforming fields like Law and Art, raising ethical and legal questions about ownership and bias.
  2. Recent models allow users to specify vision tasks through flexible prompts, enabling diverse applications in image segmentation and visual tasks.
  3. Advances in promptable vision models and generative AI pose challenges and opportunities, from disrupting professions to potential ethical and legal implications.

#21

The Nibble • 9 implied HN points • 19 Aug 23
🕹 Technology AI
  1. Spotify expands AI DJ feature globally
  2. Beware of MTFE, a crypto ponzi scheme
  3. Google Docs and Slides now support Markdown natively