The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Massachusetts Chevy dealership's A.I. chatbot predicts Chiefs to win and also Niners to win

Read Max • 1238 implied HN points • 09 Feb 24
🕹 Technology AI Chatbot Sports Business Automotive
  1. A Chevy dealership's A.I. chatbot predicted both the Chiefs and Niners to win the Super Bowl.
  2. The chatbot's analysis included inaccuracies like thinking Brock Purdy still plays for Iowa State and Jimmy Garoppolo is still with the Niners.
  3. Despite limitations, Quirk Chevrolet's chatbot predicted the Chiefs to win 31-27 in one conversation.

Deep Learning Weekly: Issue 336

Deep Learning Weekly • 648 implied HN points • 17 Jan 24
🕹 Technology AI Machine Learning Generative AI MLOps Libraries
  1. This week's deep learning topics include generative AI in enterprises, query pipelines, and closed-loop verifiable code generation.
  2. Updates in MLOps & LLMOps cover CI/CD practices, multi-replica endpoints, and serverless solutions like Pinecone.
  3. Learning insights include generating images from audio, understanding self-attention in LLMs, and fine-tuning models using PyTorch tools.

Special Edition 🔥: Analytics As Applied Accounting | Lauren Balik

Data Analysis Journal • 687 implied HN points • 08 Jan 24
🕹 Technology Data Analytics BI Tools Data Platforms AI Privacy
  1. Becoming a data analyst or engineer through bootcamps is becoming less prevalent due to economic factors.
  2. Analytics leaders face challenges in setting boundaries and avoiding overlap with finance teams in accounting functions.
  3. Decentralized data team setups are generally more efficient, and the future may see more of this with changes in tax regulations.

Phishing for Google’s g.co, AI Co-Pilot as Chaos Catalyst, & AI Missing the Mark

HackerPulse Dispatch • 13 implied HN points • 28 Jan 25
🕹 Technology AI Cybersecurity Software Programming Tech Trends
  1. AI tools can sometimes cause more problems than they solve, like in a recent project that turned chaotic when the developer relied too much on them.
  2. The first AI software engineer has a very low success rate, managing to complete only 15% of tasks. This raises doubts about AI's ability to fully replace human engineers.
  3. Overreliance on AI for coding is making new programmers less skilled. They are losing important problem-solving abilities because they are not practicing those skills.
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AI Roundup 100: CES

Artificial Ignorance • 37 implied HN points • 10 Jan 25
🕹 Technology AI Consumer Tech Gaming Software Innovation
  1. Nvidia announced exciting new AI technologies at CES, including a personal AI supercomputer and improved GPUs, which shows they are leading in AI development.
  2. Meta is testing AI-generated features that mimic users and create AI versions of photos, but many users are not happy about these changes.
  3. AI adoption among programmers is still slow and many doubt its effectiveness, but there is a lot of potential for improvement and speed gains.

OpenAI Acquired Rockset

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 59 implied HN points • 31 Jul 24
🕹 Technology AI Data Analytics Infrastructure Applications
  1. OpenAI bought Rockset to make their data retrieval system better, which helps in using AI more effectively.
  2. The acquisition shows that LLMs are being seen more like a tool, and the focus is shifting to building useful applications using these technologies.
  3. Rockset's technology will help OpenAI work better with developers and make it easier to access and use real-time data for AI products.

ChinAI #251: A surprise in the data on China's chip imports

ChinAI Newsletter • 609 implied HN points • 22 Jan 24
🕹 Technology AI Semiconductors Trade Geopolitics Cybersecurity
  1. China's chip imports dropped for the first time in consecutive years due to geopolitical factors and increased demand in emerging industries like 5G and AI.
  2. China has been focusing on localizing chip production to reduce the trade deficit, with the self-sufficiency rate increasing from 16.6% in 2020 to 23.3% in 2023.
  3. In the past ten years, China's chip industry experienced significant growth, with chip imports and exports doubling in quantity and value.

ModernBERT, the BERT of 2024

Gonzo ML • 63 implied HN points • 19 Dec 24
🕹 Technology AI Machine Learning Natural Language Processing Computing Data science
  1. ModernBERT is a new version of BERT that improves processing speed and memory efficiency. It can handle longer contexts and makes BERT more practical for today's tasks.
  2. The architecture of ModernBERT has been updated with features that enhance performance, like better attention mechanisms and optimized computations. This means it works faster and can process more data at once.
  3. ModernBERT has shown impressive results in various natural language understanding tasks and can compete well against larger models, making it an exciting tool for developers and researchers.

Gemini 2.0 Pro, Diffusion model for video restoration, OmniHuman , o3-mini, Deep Research in ChatGPT and Open-source DeepResearch, GitHub Agent mode, Arena-Price Plot, Pikadditions and more

AI Brews • 10 implied HN points • 07 Feb 25
🕹 Technology AI Software Innovation Research Product
  1. Gemini 2.0 Pro has been updated, bringing new features and improvements to Google's AI offerings.
  2. Topaz Labs introduced a diffusion model that can enhance old videos to high-resolution, making it easier to restore low-quality footage.
  3. ByteDance's new AI system, OmniHuman, animates photographs into realistic videos, leading to more lifelike movements and speech from still images.

It's time to build

benn.substack • 1278 implied HN points • 19 Jan 24
🕹 Technology Data AI Software Startups Analytics
  1. The modern data stack ecosystem is shifting as interest in generative AI takes over.
  2. The hype surrounding data tools can lead to rapid product development but also instability and distraction.
  3. Startups can find success by focusing on rebuilding existing ideas in a more deliberate and stable manner.

Cyber and Tech News of the Week

Vigilainte Newsletter • 19 implied HN points • 02 Sep 24
🕹 Technology Cybersecurity AI Data Privacy Digital Culture Software Development
  1. The US government has warned about a ransomware group that attacked Halliburton, urging companies to improve their security measures.
  2. Taylor Swift's concert tour inadvertently helped the CIA prevent a terrorist attack, showing how pop culture can link to national security.
  3. NIST is holding a contest for hackers to test AI systems, aiming to spot weaknesses and promote safety in technology development.

Resilient Cyber Newsletter #7

Resilient Cyber • 59 implied HN points • 30 Jul 24
🕹 Technology Cybersecurity AI Software Cloud Leadership
  1. The U.S. has released its first comprehensive report on cybersecurity, highlighting key risks like ransomware and the need for better incident preparedness.
  2. Many American companies are lacking strong cybersecurity leadership, which leads to vulnerabilities and incidents. Board members often need more expertise in digital systems.
  3. To secure cloud services and open source software, it's important to learn from past mistakes and implement better governance and security measures.

Yes, I'm going to wade into the subject of AI

So Here’s a Thing • 1101 implied HN points • 25 Mar 23
🕹 Technology AI Art Ethics Creativity Imagery
  1. AI is a significant topic in 2023, impacting various industries and raising concerns about job security and creative integrity.
  2. AI-generated art, like that from Midjourney, can produce unique and artistic images rapidly and affordably, though it currently lacks the finesse of human artists.
  3. The rise of AI presents challenges regarding authenticity and truth, as it can replicate artistic styles with accuracy, raising ethical concerns about misattribution and deception.

What happened in marketing: Meta is cooked, Microsoft goes big and TikTok's last hope

The Social Juice • 39 implied HN points • 05 Jan 25
💼 Business Marketing Technology Investments Social media AI
  1. Microsoft is investing heavily in AI, planning to put $80 billion into data centers this year. This shows their commitment to growing their technology influence.
  2. Meta is facing serious challenges and has decided to remove certain AI character accounts, signaling struggles in their strategy.
  3. TikTok is in a critical situation and needs to find new ways to maintain its user engagement and popularity.

⏩🔬 Good news: We know how to accelerate the US economy

Faster, Please! • 1188 implied HN points • 16 Feb 24
💼 Business Economics Policy AI Health Clean Energy
  1. Increasing public money for R&D can boost business productivity and private sector investment.
  2. Historically, technological innovation and public R&D have played a significant role in driving economic growth.
  3. There is a correlation between higher public investments in nondefense R&D and long-term increases in total factor productivity (TFP) in the business sector.

The fight for global AI supremacy, and Steve Bannon versus the Tech Right

Alex's Personal Blog • 32 implied HN points • 13 Jan 25
🕹 Technology AI Chip Manufacturing Policy Investment Innovation
  1. The U.S. government has new rules for exporting AI chips, with different restrictions for various countries. This change has caused a lot of backlash from tech companies, who fear it may hurt America's competitive edge.
  2. OpenAI released a new plan to help the U.S. stay ahead in AI technology, focusing on better communication between the government and AI businesses. They want to ensure that innovation continues without compromising safety.
  3. There is a growing conflict between different factions within the Republican Party regarding tech policies. Steve Bannon is openly opposed to Elon Musk's influence, hinting at some power struggles in the upcoming administration.

All hail nuclear power

Alex's Personal Blog • 65 implied HN points • 19 Dec 24
🕹 Technology Energy AI Innovation Sustainability Startups Regulation
  1. Nuclear power is gaining traction as tech companies look to use it for sustainability and energy needs. This shift could help power data centers efficiently.
  2. Despite general market optimism, there are challenges and doubts about current investment strategies. Investors need to think critically about their options in a changing economy.
  3. The EU is facing criticism regarding its AI regulations, which might push tech development outside the region. This could lead to a lack of innovation and growth in Europe.

What is an AI recipe?

Sunday Letters • 19 implied HN points • 01 Sep 24
🕹 Technology AI Software Innovation Data science Programming
  1. An AI recipe is a mix of code and AI thinking that helps solve problems. It's not just code or just prompts; it's a combination that guides the AI to achieve a goal.
  2. Finding the right balance between structured code and flexible AI is tricky. This balance can feel similar to figuring out what makes a cake a cake.
  3. As AI improves, the aim is to make these recipes work better and help connect human ideas directly to machine actions.

Are Great Teachers Born or Made?

Mathworlds • 550 implied HN points • 31 Jan 24
🚌 Education Teaching AI
  1. Research suggests emergency-hired teachers during COVID may not differ significantly from traditionally licensed teachers.
  2. Education is complex and difficult to measure, making it challenging to understand teacher influence on student learning.
  3. Great teachers may be born, but good teachers can be made through diverse experiences and supportive tools.

[GB200 NVL72] The Mainframe of Doom

Irrational Analysis • 339 implied HN points • 30 Mar 24
🕹 Technology Semiconductors Datacenters AI Graphics
  1. Nvidia's GB200 NVL72 poses an existential threat to competitors in the datacenter CPU market, offering a unique 2:1 ratio and improved integration perspective.
  2. The reintroduction of mainframes signifies a strategic move by Nvidia, with the new AI mainframe/appliance providing massive TCO advantages and performance gains.
  3. Jensen's benevolent trade offer complements technical excellence in the face of political challenges, aiming to secure Nvidia's position in the market and potentially disrupt the status quo.

⚛ Nuclear power: Faster, please! But also cheaper, please!

Faster, Please! • 1188 implied HN points • 10 Feb 24
🕹 Technology Energy AI Economics Policy Innovation
  1. Nuclear power needs to be developed faster and at a lower cost to be a reliable energy source for the future.
  2. New generations of reactors, like small modular ones, are emphasized for the advancement of nuclear energy.
  3. Building nuclear power plants faces significant delays and challenges globally, hindering progress in the industry.

Don't grab the brass ring, grab the copper pipe

Sunday Letters • 59 implied HN points • 28 Jul 24
🕹 Technology AI Internet Development Infrastructure UX
  1. Focus on building the essential tools and infrastructure first. These are often overlooked but are crucial for long-term success.
  2. Reaching for groundbreaking goals is important, but make sure the technology is ready. Many ideas are great, but timing matters.
  3. While big ideas attract attention, don't forget about solving smaller, tougher problems that can support those ideas. Both are important for progress.

Lesser Gods: AI Creativity, Neuroscience and the Future of Work

rebelwisdom • 1277 implied HN points • 18 May 23
🕹 Technology AI Neuroscience Future of work Creativity Artificial Intelligence
  1. Artificial intelligence is advancing rapidly and poses a threat to jobs in various professions.
  2. Creativity is a complex process that involves combining elements and requires a human understanding of meaning.
  3. While AI can mimic creativity, true creativity is a deeper, more nuanced connection to reality that goes beyond mere replication.

Your guide to AI: January 2025

Guide to AI • 7 implied HN points • 02 Feb 25
🕹 Technology AI Tech Policy Startups Research Hardware
  1. The new US administration is making changes to AI policy, which might affect tech companies and regulations. These changes could ease some restrictions, but their real impact is still unclear.
  2. NVIDIA remains a strong player in AI hardware, especially as demand for Chinese chips grows. However, there's skepticism around whether newer companies can truly compete with established ones like NVIDIA.
  3. Europe is pushing to increase AI adoption and innovation, but there are concerns about their regulations stifling progress. Meanwhile, big investments are happening in AI startups across various sectors.

Tokenization in large language models, explained

The Counterfactual • 239 implied HN points • 02 May 24
🕹 Technology AI Language Models Tokenization Machine Learning Natural Language Processing
  1. Tokens are the building blocks that language models use to understand and predict text. They can be whole words or parts of words, depending on how the model is set up.
  2. Subword tokenization helps models balance flexibility and understanding by breaking down words into smaller parts, so they can still work with unknown words.
  3. Understanding how tokenization works is key to improving the performance of language models, especially since different languages have different structures and complexity.

LLM Links, 1/17

In My Tribe • 212 implied HN points • 17 Jan 25
🕹 Technology AI Innovation Productivity Automation Regulation
  1. Intelligence can help us break down regulatory barriers and improve cooperation. A higher baseline of intelligence might push us to recognize and fix our bad decisions more easily.
  2. The adoption of AI will be slow because organizations and systems take time to change. Even with advanced AI, many people might not notice its presence right away.
  3. Bill Gates believes AI will take over routine tasks, leaving creative work for humans. However, there’s a chance that AI could also become creative, challenging the idea that humans are solely responsible for creativity.

dlt windsurfing

davidj.substack • 71 implied HN points • 04 Dec 24
🕹 Technology Software Data Engineering AI Programming APIs
  1. dlt is a Python tool that helps organize messy data into clear, structured datasets. It's easy to use and can quickly load data from many sources.
  2. Using AI tools like Windsurf can make coding feel more collaborative. They help you find solutions faster and reduce the burden of coding from scratch.
  3. Storing data in formats like parquet can make processing much quicker. Simplifying your data handling can save you a lot of time and resources.

Who to Follow on LinkedIn and X for A.I. Knowledge & News (repost)

AI Supremacy • 530 implied HN points • 31 Jan 24
🕹 Technology AI Social media Newsletter Influencers Tech Trends
  1. The post provides lists of AI experts to follow on LinkedIn and Twitter for the latest insights.
  2. The recommended individuals include researchers, authors, builders, journalists, and more in the AI field.
  3. Following these experts can offer valuable breaking news and insights in AI, aligning with the latest trends and discussions.

OpenAI Enhanced Their API With Robust Structured Output Capabilities

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 12 Aug 24
🕹 Technology AI API Data Development NLP
  1. OpenAI has improved its API to ensure that outputs always match a set JSON format. This helps developers know exactly what kind of data they will get back.
  2. The previous method of generating JSON outputs was inconsistent, making it hard to use in real-world applications. Now, there's a more reliable way to create structured outputs.
  3. Developers can now use features like Function Calling and a new response format to make their apps interact better with AI, ensuring clearer communication between systems.

Sora What

Don't Worry About the Vase • 1075 implied HN points • 22 Feb 24
🕹 Technology AI Video Generation Machine Learning Artificial Intelligence Media
  1. OpenAI's new video generation model Sora is technically impressive, achieved through massive compute and attention to detail.
  2. The practical applications of Sora for creating watchable content seem limited for now, especially in terms of generating specific results as opposed to general outputs.
  3. The future of AI-generated video content may revolutionize industries like advertising and media, but the gap between generating open-ended content and specific results is a significant challenge to overcome.

ChinAI #250: LLMs summarize China's 2023 in one word

ChinAI Newsletter • 589 implied HN points • 15 Jan 24
🕹 Technology AI Translation Books Research China
  1. One of the biggest storylines in 2023 was the grim employment outlook for China’s 11.5 million college graduates.
  2. There was interesting variation between Chinese and international large language models when summing up China’s 2023.
  3. Different large language models had varied perspectives on the hot internet events of 2023 in China.

Multimodal AI-Edited Supercuts

Multimodal by Bakz T. Future • 1 implied HN point • 24 Feb 25
🕹 Technology AI Media Video Editing Creativity
  1. Multimodal AI can create supercuts that give quick but immersive experiences of long media. This means you can watch shorter versions of movies or shows without losing the essence of the story.
  2. These AI-generated videos can stitch together scenes and reimagine parts of the original work, providing a fresh way to enjoy familiar content. It's like having a personal editor that knows what you like.
  3. Using technology to make media more accessible for busy people is important. Everyone has different schedules, so having flexible options helps more people enjoy art and storytelling.

February Newsletter

RSS DS+AI Section • 5 implied HN points • 01 Feb 25
🕹 Technology AI Data science Research Applications Ethics
  1. AI and Data Science are rapidly evolving fields with new projects and innovations popping up all the time. It's important to stay updated with the latest research and applications.
  2. Ethics in AI is a huge concern, with ongoing discussions about bias, privacy, and the regulation of AI technology. People are looking for ways to use AI responsibly.
  3. There's a growing demand for skilled professionals in AI, particularly in areas like AI Product Management, which is becoming a hot job opportunity.