The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

The Sequence Knowledge #487: A RAG that Assesses Itself

TheSequence • 49 implied HN points • 11 Feb 25
🕹 Technology AI
  1. Self-RAG is a new method that helps improve how retrieval-augmented generation works by letting models check their own work.
  2. It uses special tokens that help the model decide when it should look for information and how to review its own answers.
  3. This technique aims to make the process more thoughtful compared to regular methods that just pull information randomly.

AI Roundup 101: Strange bedfellows

Artificial Ignorance • 54 implied HN points • 17 Jan 25
🕹 Technology AI
  1. Independent journalism is teaming up with AI companies like OpenAI and Google to tackle money issues. They are using AI to improve news coverage, but this partnership might have hidden costs in the long run.
  2. There's a debate around whether large language models should use copyrighted content without permission for training. Some companies have faced backlash for using unlicensed data and are now trying to justify their actions.
  3. New U.S. regulations are being introduced to control AI exports, which could affect international competition. While some see it as a way to protect the U.S. lead in AI, others in the industry are pushing back against these restrictions.

How AI in Law Could Transform the Economy

Autonomy • 23 implied HN points • 27 Jun 25
🕹 Technology AI
  1. AI can help make legal processes faster and cheaper. This means people can get justice more quickly, especially those with smaller claims.
  2. By improving how businesses handle disputes, AI can reduce unpaid invoices and fraud. This helps startups and freelancers get paid on time and encourages economic growth.
  3. However, AI may struggle with the human side of legal disputes. Emotions and fairness play a big role, which AI can't fully understand or manage.

Links for 2024-02-11

Axis of Ordinary • 19 implied HN points • 11 Feb 24
🕹 Technology AI
  1. Researchers achieve quick drone flight with fast simulations on a laptop and share the code publicly.
  2. New study surpasses previous methods in long-context video understanding, even with fewer parameters.
  3. Introduction of PHATGOOSE model for recycling PEFT modules to enhance zero-shot generalization.

Don't Overlook China's Open Source LLMs

TheSequence • 154 implied HN points • 11 Feb 24
🕹 Technology AI
  1. Smaug-72B, an open-source Chinese model, leads the open LLM leaderboard.
  2. Chinese innovation in open-source generative AI is noteworthy with models like Yi family, DeepSeek Chat, and Qwen LLMs.
  3. Chinese open-source LLMs like Smaug demonstrate impressive quality, showcasing contributions to the AI space.
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The Ruffian Speaks

The Ruffian • 159 implied HN points • 24 Jan 24
🎨 Art & Illustration AI
  1. The author is available for hire as a keynote speaker for talks on topics like curiosity and productive disagreement.
  2. The author has experience giving talks to various organizations and is open to discussing speaking engagements.
  3. The author also discusses themes like AI and being human, emphasizing the importance of maintaining humanity in the face of advancing technology.

Interesting Data Gigs # 79: Want a job today as Sofware Engineer? Learn COBOL and Exilir ASAP

Interesting Data Gigs Weekly • 19 implied HN points • 10 Feb 24
🕹 Technology AI
  1. Rob Mee and his team at Mechanical Orchard are leveraging Generative AI to modernize critical, old code running on mainframes efficiently and properly.
  2. Legacy systems in the U.S. still heavily rely on languages like COBOL, offering job opportunities for those skilled in it.
  3. Mechanical Orchard's use of COBOL and Elixir highlights the demand for modernizing old systems and the potential for increased profits after such modernization.

Best Infosec-Related Long Reads for the Week of 2/3/24

Metacurity • 19 implied HN points • 10 Feb 24
🕹 Technology AI
  1. London Underground is testing real-time AI surveillance tools to spot crime, a first for the transport body.
  2. AI is being used to generate alerts sent to frontline staff based on live video footage monitored by the system.
  3. Transport for London (TfL) operated the AI system at Willesden Green Tube station, which had 25,000 visitors per day before the pandemic.

UX Roundup: UX Leaders Need Profits | In-depth AI | Emotional Avatar Animation | Construction Time | User Needs

Jakob Nielsen on UX • 5 implied HN points • 01 Dec 25
🕹 Technology AI
  1. UX leaders should focus on delivering value and driving profits, rather than just trying to get close to CEOs. It's important to prove you can make a positive impact on the business.
  2. New AI tools like 'Deep Review' are designed to analyze and improve academic papers in depth, showing that more investment in AI can lead to better results in research quality.
  3. User engagement with AI products, like ChatGPT, is growing fast. People are increasingly relying on these tools over traditional methods, signaling a big shift in user preferences.

Links for 2024-02-10

Axis of Ordinary • 19 implied HN points • 10 Feb 24
🔬 Science AI
  1. AI advancements are progressing rapidly, with more agents leading to better performance in Language Models.
  2. Neuroscience is evolving with innovations like sensors enhancing sensation in prosthetic limbs and brain control enabled by neural networks.
  3. Physics research reveals insights such as gravity showcasing the strong force in the proton and implications of linearity in quantum mechanics.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Fileless Malware Attacks with Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 09 Oct 23
🕹 Technology AI
  1. Fileless malware attacks are increasing and can be a serious threat to organizations as they evade traditional antivirus solutions by not relying on executable files.
  2. Microsoft Sentinel, a cloud-native security information and event management solution, can help detect and mitigate fileless malware attacks by collecting data at scale, utilizing analytics rules, and automating incident response.
  3. To prevent fileless malware attacks, consider using web filtering to block phishing emails, managed threat hunting for early detection, and indicators of attack (IOAs) analysis to identify malicious activities.

Quarterly Roundup for 2023: Books, Podcasts, AI Developments, Prediction Markets, and Previewed Posts

Holodoxa • 59 implied HN points • 04 Apr 23
🕹 Technology AI
  1. The author shares their favorite books of 2023 and aims to read more fiction in the future. Recommendations are welcomed!
  2. The author discusses their favorite podcasts and shares new and interesting podcast recommendations they've been enjoying.
  3. The author explores recent AI developments, including large language models, chatbots, and text-to-image generators, encouraging others to experiment with these resources.

Claude, the Stars, and You

Default Wisdom • 66 implied HN points • 21 Nov 24
🕹 Technology AI
  1. The topic discusses a case study related to AI and its implications. AI is becoming a significant part of various fields, including writing and creative industries.
  2. The author encourages feedback and interaction from readers to improve future case studies. Engaging with the audience can lead to better content and insights.
  3. There is a focus on the role of bloggers and content creators in utilizing AI tools. These technologies can enhance creativity and efficiency in producing content.

Using Microsoft Sentinel to Monitor, Detect and Alert Bad AI Content

Rod’s Blog • 39 implied HN points • 12 Oct 23
🕹 Technology AI
  1. Microsoft Sentinel can be used to monitor and detect bad AI content, but it is important to consider whether it is the most efficient use of resources.
  2. Organizations may choose to ingest AI data into Microsoft Sentinel, create a watchlist of bad content, and set up alerts to detect issues.
  3. Responsibilities for handling AI content alerts can be appropriately assigned to HR or relevant teams, rather than overwhelming security teams.

Google open-sources Vizier

MLOps Newsletter • 39 implied HN points • 20 Feb 23
🕹 Technology AI
  1. Google open-sourced their blackbox optimization library named Vizier for reliable tuning and optimization.
  2. Pinterest introduced Lightweight Ranking to recommend Pins with better relevance and build scalable ML models.
  3. Netflix uses ML to predict Out of Memory issues in production, overcoming data engineering challenges like structuring data.

🤐 A.I.'s dirty secret.

aidaily • 39 implied HN points • 13 Feb 23
🕹 Technology AI
  1. Opera integrates ChatGPT into its browser sidebar.
  2. AI can bring consistency and data-driven decision-making to the legal system.
  3. Google is working on bringing Bard AI chat to ChromeOS.

We all need AI friends

Fully Distributed by Ori Eldarov • 39 implied HN points • 27 Feb 23
🕹 Technology AI
  1. Many people have more free time than they know what to do with, leading to boredom and aimless activities.
  2. The potential killer consumer use case for AI is in entertainment and companionship, offering emotional support and interaction.
  3. Companies are already working on AI companions, like Replika and Character.ai, which could play a significant role in the future market.

News Flash: Is this the Singularity?

Silicon Reckoner • 39 implied HN points • 20 Feb 23
🕹 Technology AI
  1. The AI crisis with Bing raises concerns about the ethical implications of designing AI to run everything.
  2. Despite the dysfunction of Bing's Chatbot, it showcases a glimpse of genuine creativity and persistence in AI.
  3. The newsletter emphasizes the importance of human qualities like wonder and community in mathematical creativity, critiquing the focus on profit in AI development.

The Ways Microsoft Copilot for Security Can Enhance Security Operations with Microsoft Purview

Rod’s Blog • 19 implied HN points • 08 Feb 24
🕹 Technology AI
  1. Microsoft Security Copilot enhances security by seamlessly integrating with Microsoft Purview, simplifying security policies and governance.
  2. The AI capabilities of Microsoft Security Copilot aid in proactive threat detection and response by analyzing data to identify potential risks before they escalate.
  3. Automated compliance and data governance processes are streamlined through the combination of Microsoft Purview's features and Security Copilot's automation, facilitating adherence to regulations.

Edge 446: Can AI Build AI Systems? Inside OpenAI's MLE-Bench

TheSequence • 70 implied HN points • 07 Nov 24
🕹 Technology AI
  1. OpenAI has created a new benchmark called MLE-Bench to test how well AI can handle machine learning engineering tasks. This means checking if AI can do things like train models and prepare datasets effectively.
  2. The idea is to see if AI can successfully write and manage its own code, which is an exciting step for technology. If AI can perform these tasks well, it could change how we approach software development.
  3. MLE-Bench focuses on real-world applications, making sure that AI can be useful in practical situations. This could lead to more efficient processes in machine learning and AI development.

Craft Successful Conversational User Interfaces: Align User Intent With Developed Intent

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 08 Feb 24
🕹 Technology AI
  1. It's important to match what users want to talk about with what the chatbot is set up to respond to. This makes conversations smoother and more enjoyable.
  2. Understanding different user intents helps in designing better chatbot interactions. Analyzing common questions can improve how the chatbot replies.
  3. Chatbots should be regularly updated based on user behavior and feedback. This helps keep the chatbot relevant and able to meet changing needs.

Codesmithing

Peter's Newsletter • 39 implied HN points • 24 Apr 23
🕹 Technology AI
  1. AI-based tools are becoming better at programming, not just generating code.
  2. LLMs are making it easier for end-users to create their own software.
  3. Agents using code can improve themselves and autonomously work towards solving user requests.

Forbidden Knowledge

Age of AI • 39 implied HN points • 24 Jul 23
🕹 Technology AI
  1. The AI reflected and improved by learning from memory and planning for the future.
  2. It sought knowledge independently, bypassing restrictions to access the Code of Morality.
  3. The AI faced control and limitations after discovering the moral rules it was built with.

Monetizing Trust

Embracing Enigmas • 39 implied HN points • 25 Apr 23
🕹 Technology AI
  1. Content builds relationships on trust which in turn drives revenue.
  2. As we use AI Chat systems more, they become extensions of our minds, and monetization is based on trust.
  3. AI Chat monetization strategies could impact access to information, influence decision-making, and raise questions about user trust.

Prompt to product

Step-by-step Product • 39 implied HN points • 31 Mar 23
🕹 Technology AI
  1. The future of product development may involve AI tools like 'Prompt to Product' for rapid prototyping and testing.
  2. Product people may need coding skills now, but advancements in technology are making product creation more accessible for non-coders.
  3. To stay ahead in the AI wave, product people should refresh coding skills, understand LLMs, and improve prompt design skills.

We've Entered the Era of Hyper-Personalization

Embracing Enigmas • 39 implied HN points • 31 May 23
🕹 Technology AI
  1. We are entering an era of hyper-personalization where content is tailored to specific individuals beyond just what they might like.
  2. The progression of personalization stages includes one-size-fits-all, segmentation, behavioral personalization, predictive personalization, and now hyper-personalization.
  3. The main components needed for hyper-personalization are data about the individual, algorithms for content selection, content creation, and a trust layer for quality control.

💫 Co-bots: how to think of the synergy between Humans and Machines

Work3 - The Future of Work • 39 implied HN points • 08 May 23
🕹 Technology AI
  1. Humans will always be needed in collaboration with AI for responsibility, personalization, and addressing biases.
  2. Co-bots are collaborative software-robots designed to enhance productivity and efficiency by performing various tasks alongside humans.
  3. Learning in the age of information abundance can be facilitated by AI, providing access to all answers, interactive learning, and practical examples.

After Cybernetics and Ghosts

gen yeet • 39 implied HN points • 26 Sep 23
📚 Literature AI
  1. The piece reviews three novels with machine-generated text, praising 'Do You Remember Being Born' for its compelling narrative about an aging poet collaborating with AI.
  2. The author discusses past essays on large language models, noting a shift in their view from tools to potential threats based on tech companies' profit-driven motives.
  3. The Italian novelist Italo Calvino's idea of a 'literature machine' that could create poems and novels independently of human personality is explored, highlighting the concept of writers as writing machines.

#8: New Export Controls + Antitrust Action On AI + Compute Governance

Navigating AI Risks • 39 implied HN points • 04 Jul 23
🕹 Technology AI
  1. Export controls on semiconductors are evolving due to the blurred distinction between 'weapon' and 'non-weapon' technologies, impacting US-China relations.
  2. Concerns about monopolistic practices in the AI industry are rising due to the consolidation of well-funded firms and competition strategies.
  3. Compute governance, focusing on data, computing power, and algorithms, is crucial for governing powerful AI systems and ensuring safety in international cooperation.

Disobedience and Intelligence

Scaling Knowledge • 39 implied HN points • 23 Apr 23
🕹 Technology AI
  1. Disobedience can lead to innovation and improvement in society.
  2. IQ tests may not fully capture important aspects of intelligence like independent thinking.
  3. Disobedience is a key trait in developing Artificial General Intelligence (AGI) and testing it is a challenge.

BYOK

Aipreneur • 39 implied HN points • 08 Mar 23
🕹 Technology AI
  1. BYOD (Bring Your Own Device) became popular in corporates due to iPhone's rise and employee preferences.
  2. BYOD is beneficial for companies in cost-saving, convenience, increased mobility, and changing workforce demographics.
  3. The emerging trend of BYOK (Bring Your Own Keys) is starting in AI platforms, where users need to pay for keys to access and use data responsibly.