The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Coding Cells - Computational tools for Protein Design

Kesav’s Lab • 1 HN point • 20 May 24
🕹 Technology AI
  1. Artificial intelligence and synthetic biology are changing how we interact with biology. They can help us design new food, medicine, and materials more effectively.
  2. AlphaFold is a powerful tool that predicts protein structures, which is crucial for understanding how proteins work. This insight can lead to breakthroughs in drug discovery and other medical applications.
  3. The author is building a user-friendly tool for protein design using AlphaFold on Google Cloud to help protein engineers. The goal is to create a platform where they can easily make predictions and visualize protein structures.

Any-to-Any Generative AI Model, Generative AI for 3D game development, Mobile app Development from Text, Context Window of 1 Billion+ tokens, Bark on Discord and more

AI Brews • 2 HN points • 07 Jul 23
🕹 Technology AI
  1. Microsoft Research introduces a novel generative model that can create any combination of output from any input modalities.
  2. MoonlanderAI launches a generative AI platform for building immersive 3D games using text descriptions.
  3. Bark on Discord now provides text-to-audio capabilities, offering realistic multilingual speech and various audio outputs.

Data Science Weekly - Issue 67

Data Science Weekly Newsletter • 19 implied HN points • 05 Mar 15
🕹 Technology AI
  1. Flickr uses deep learning to automatically label images, which helps with the huge number of daily uploads. This shows how technology can improve organization and accessibility of visual data.
  2. Data visualization is becoming essential in journalism, as it helps tell stories more effectively than traditional text and images. This shift is changing the way information is communicated to the public.
  3. Machine learning is being applied in drug discovery, showing its potential to find effective treatments for various diseases. This highlights how data science can make a significant impact on health and medicine.

Data Science Weekly - Issue 65

Data Science Weekly Newsletter • 19 implied HN points • 19 Feb 15
🕹 Technology AI
  1. Researchers are using neural networks based on monkey brains to help recognize human faces better. This approach shows how similar our brain processes can be to those of monkeys.
  2. Automating data analysis might make things easier for companies. New software can find patterns in data and create reports, which can save time and improve decision-making.
  3. Robo-advisers are changing how people invest their money. They are becoming popular for managing wealth and could change the financial industry significantly.

Why Databricks Bought Mosaic and The Rapidly Decreasing Costs of AI

Unsupervised Learning • 2 HN points • 29 Jun 23
🕹 Technology AI
  1. Training costs for AI models have decreased significantly, making it more cost-effective for companies to build their own models.
  2. Inference costs for AI models have also decreased, creating more affordable options for companies utilizing AI features.
  3. The decreasing costs of AI models are leading to increased competition and more attractive business models for startups building on foundation models.
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Data Science Weekly - Issue 63

Data Science Weekly Newsletter • 19 implied HN points • 05 Feb 15
🕹 Technology AI
  1. Visual mapping helps understand the fast-growing communities on platforms like Twitch. It's a fun way to see how different groups connect.
  2. Data science can offer new ways to evaluate business risks, making it easier for startups to succeed. Using data helps to make better decisions.
  3. In data science portfolios, quality is often more important than quantity. Employers want to see impactful work rather than just a long list of projects.

Gorilla LLM: Bridging APIs with User-Specified Tasks

Sudo Apps • 2 HN points • 15 Jun 23
🕹 Technology AI
  1. Gorilla LLM is designed to connect large language models with various services and applications through APIs.
  2. LLaMA was chosen as the base model for Gorilla, which has since been fine-tuned with GPT-4, GPT-3.5, and other models.
  3. Gorilla LLM introduces novel concepts like retriever-aware training and AST sub-tree matching for more accurate inferences.

🎶 What is MusicGen?

Machine Economy Press • 2 implied HN points • 13 Jun 23
🕹 Technology AI
  1. MusicGen is an open-source deep learning language model that generates music based on text prompts and melodies.
  2. AI is impacting artistic endeavors like music creation and poetry generation.
  3. MusicGen offers code and models for open research and reproducibility in the music community.

Data Science Weekly - Issue 58

Data Science Weekly Newsletter • 19 implied HN points • 01 Jan 15
🕹 Technology AI
  1. Data science is becoming essential across many industries like sports, retail, and healthcare, driving innovation and insights.
  2. Understanding the difference between correlation and causation is challenging, and researchers are still figuring out how to measure the real impact of certain actions, like changing a coach.
  3. New programming languages and techniques, like Julia and knowledge distillation for deep learning models, are improving how we approach data science and artificial intelligence.

ThoughtSpot - Making Data Analytics as Simple as a Google Search

Termsheet by Attack Capital • 2 HN points • 13 Jun 23
🕹 Technology AI
  1. ThoughtSpot aims to simplify data analytics like a Google search, providing AI-driven analytics for instant insights.
  2. Co-founded by Ajeet Singh, ThoughtSpot is valued at $4.2Bn and has raised $644 Million, backed by major VC firms.
  3. ThoughtSpot's platform allows users to easily query and analyze data, with features like live-querying, governed data models, and integrations.

Researchers Discover Reality

Mind Prison • 2 HN points • 31 May 23
🕹 Technology AI
  1. Researchers are developing a new technology that captures reality using light
  2. The new device is simple to use and doesn't require internet or a subscription fee
  3. Participants in an experiment removing VR headsets experienced heightened awareness and calmness

The Age of Agents

Sudo Apps • 2 HN points • 24 May 23
🕹 Technology AI
  1. Advancements in large language models have enabled new possibilities through chat interfaces.
  2. Experimenting with instructing multiple agents shows potential for improved outcomes in task completion.
  3. Using a lead engineer can help review, guide, and improve outputs from engineering agents in experiments.

Why AI X-Risk Gets Overestimated

Abstraction • 2 HN points • 16 May 23
🕹 Technology AI
  1. AI takeover requires a confluence of conditions that must align perfectly, making it less likely than some might think.
  2. AI might lack the motive to take over the world, as it may lack agency, self-preservation, or perfect alignment.
  3. AI could lack the means to successfully take over, as scaling limitations, diminishing returns to intelligence, and overwhelming complexity pose significant obstacles.

Data Science Weekly - Issue 39

Data Science Weekly Newsletter • 19 implied HN points • 21 Aug 14
🕹 Technology AI
  1. Data cleaning and preparation is really important in data science, similar to carpentry work. It's about organizing and getting the data ready for analysis.
  2. AI can discover new insights in areas like art that even experts might miss. This shows how powerful machine learning can be in uncovering hidden connections.
  3. There are lots of resources available to learn data science, like tutorials and job opportunities. It's easier than ever to get started and find ways to apply your skills.

World Economic Forum A.I. on Future of Jobs Report

Machine Economy Press • 2 implied HN points • 03 May 23
🕹 Technology AI
  1. The World Economic Forum predicts that nearly 25% of jobs will be disrupted in the next five years due to AI and other factors.
  2. Employers expect to create 69 million new jobs by 2027 while eliminating 83 million positions, resulting in a net loss of 14 million jobs.
  3. Up to 26 million jobs in record-keeping and administrative positions are expected to be eliminated as companies adopt AI technologies in the next five years.

MAD, China, and the Semiconductor Showdown (Part 2)

East Wind • 2 HN points • 19 Apr 23
🕹 Technology AI
  1. Owning the semiconductor stack is crucial for AI innovation, and geopolitical tensions can disrupt the supply chain.
  2. Access to leading-edge semiconductors impacts the affordability and availability of AI advancements.
  3. Investment in onshore semiconductor production is essential to maintain technological dominance and address geopolitical uncertainties.

Tuesday Variety Pack

Donkeyspace • 2 implied HN points • 18 Apr 23
🕹 Technology AI
  1. David Deutsch explains why he's not worried about AGI.
  2. Peli Grietzer explores the intersection of poetry, art, philosophy, and AI.
  3. Gregory Chaitin's lecture delves into the foundational questions of mathematics and computers.

Technical Dive Into AutoGPT

Sudo Apps • 2 HN points • 22 Apr 23
🕹 Technology AI
  1. Auto-GPT uses various techniques to make GPT autonomous in completing tasks with executable commands.
  2. Auto-GPT addresses GPT's lack of explicit memory by using external memory modules like embeddings and vector storage.
  3. Interpreting responses with fixed JSON format and executing commands allows Auto-GPT to interact with the real world and complete tasks.

Microsoft thinks Cybersecurity is a job for GPT-4

Machine Economy Press • 2 implied HN points • 11 Apr 23
🕹 Technology AI
  1. Microsoft has developed a new assistant called Security Copilot for cybersecurity professionals, powered by GPT-4 and designed to help identify breaches.
  2. The Security Copilot tool uses large language models and threat intelligence gathering to hunt down security threats based on daily collected signals.
  3. There is a global shortage of skilled security professionals, with Microsoft aiming to address this through continual learning from users and collaboration to combat sophisticated cyber threats.

Data Science Weekly - Issue 26

Data Science Weekly Newsletter • 19 implied HN points • 22 May 14
🕹 Technology AI
  1. Data science is critical for growth, as seen in Twitch's success story. Understanding data can really help companies improve their services and reach more users.
  2. Neural networks are a fascinating topic in data science that is gaining a lot of attention nowadays. They are particularly useful for deep learning and building advanced machine learning models.
  3. Big data hype might fade, but the importance of statistics will remain. It’s essential to understand data correctly to avoid misleading conclusions and improve decision-making.

Google Has No Chance but to Embed Bard into Search

Machine Economy Press • 2 implied HN points • 07 Apr 23
🕹 Technology AI
  1. Google plans on adding conversational A.I. features to its search engine due to competition from ChatGPT and the Generative A.I. industry.
  2. Google is behind in LLMs technology compared to other companies, like Microsoft with its partnership with OpenAI.
  3. The move to embed Bard into Google's search engine reflects the company's efforts to keep up with advancements in artificial intelligence.

Data Science Weekly - Issue 25

Data Science Weekly Newsletter • 19 implied HN points • 15 May 14
🕹 Technology AI
  1. Data scientists spend a lot of time on tasks beyond just building models. Cleaning data and analyzing it are just as important.
  2. Using reliable data is crucial because bad data can lead to incorrect conclusions. If your input is flawed, the output will be too.
  3. There's a growing trend in building businesses around machine learning APIs. It's all about automating processes and using these tools to create new opportunities.