The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

The fundamentals of agent-driven software workflows

Dev Interrupted • 74 implied HN points • 08 Jul 25
🕹 Technology AI
  1. Agent-driven workflows are key for AI in software, moving beyond just coding tools to smarter systems that can manage the entire process.
  2. To benefit from AI tools, companies need to improve their systems and processes, not just focus on what the tools can do on their own.
  3. Successful AI strategies will rely on creating connected, efficient workflows rather than isolated software solutions.

Unveiling the Future of AI: Insights on AI Chips, Knowledge Graphs, and AI Regulations

Gradient Flow • 239 implied HN points • 09 Feb 23
🕹 Technology AI
  1. AI chips are evolving to meet the demands of models, like the focus on non-Nvidia backends making strides with software stacks such as PyTorch 2.0 and Triton.
  2. Knowledge graphs are escalating in importance for AI applications due to their ability to provide structured data representation, aiding in better comprehension and use of information.
  3. Anticipation is growing for AI regulations in 2023; teams are advised to prepare for regulatory changes in data and AI by consulting with experts and staying informed.

Job search next steps: AI spice level calibration

Sex and the State • 18 implied HN points • 21 Nov 25
🕹 Technology AI
  1. Learning and writing about AI can help with job-seeking while also satisfying personal curiosity and a desire to do good.
  2. The aim is to position oneself for thought leadership or AI policy work across for-profits, trade associations, and non-profits/think tanks.
  3. After reflection and advice, the decision is to stop over-censoring and speak more candidly about AI, even if that might alienate some potential employers.

GitHub ❤ India ❤ Open Source

Sector 6 | The Newsletter of AIM • 19 implied HN points • 12 Jun 24
🕹 Technology AI
  1. By 2027, India is expected to have the largest software developer community in the world, surpassing the United States.
  2. India's open-source community is vibrant, with many developers actively contributing to global projects rather than just consuming open source.
  3. The identity of a developer does not matter in open source; what's important is their ability to contribute, which is seen in India's diverse community.

Brain Boost

Polymathic Being • 59 implied HN points • 10 Aug 25
🕹 Technology AI
  1. AI can be a really helpful research tool. It can help you find good information and understand complex topics better.
  2. Using AI doesn't mean you stop thinking for yourself. You should work with AI to challenge your ideas and get different perspectives.
  3. AI is like a conversation partner for your research. It can help you explore ideas, ask questions, and keep you on track.
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Adiós Duolingo, hello Anki

De Novo • 88 implied HN points • 05 Jun 25
🚌 Education AI
  1. Anki is a flashcard app that helps with memorization using spaced repetition. It's great for learning detailed information and can share decks for team learning.
  2. Using AI to make Anki cards can be helpful, but it's important to check for errors. It's best for reinforcing knowledge rather than learning completely new topics.
  3. After years of using Duolingo, switching to Anki seems more effective for real learning. You can create a system to track your progress similar to Duolingo's streaks.

Last Week in AI #236: Pentagon's AI fleet against China, Imbue's $200M boost for reasoning AI, AI sex worker ads invade social media, Anthropic's paid plan for Claude, and more!

Last Week in AI • 178 implied HN points • 11 Sep 23
🕹 Technology AI
  1. The Pentagon is investing heavily in AI technology to counter threats from China and other adversaries.
  2. Imbue raised $200 million to develop AI systems that can reason and code, aiming to create practical and safe AI agents.
  3. Ads for AI sex workers are appearing on social media platforms, despite policies against sexualized content, raising questions about platform monitoring and regulation.

Are the Tech Titans Mighty Enough to Break the Threatened NVIDIA-OpenAI Fetters?

Brad DeLong's Grasping Reality • 238 implied HN points • 12 Nov 24
🕹 Technology AI
  1. Big tech companies are trying to break their dependence on NVIDIA and OpenAI because they don't want to pay high fees for using their technology. They are investing heavily to develop their own systems and chips.
  2. The race for independence is fueled by fears of falling behind in AI technology. Companies need cutting-edge language and classification models to stay competitive and make profits.
  3. Despite the rush to innovate, there's concern about monopolies in chip manufacturing, particularly with companies like TSMC. If other competitors can catch up, it could lead to a more open tech landscape and fewer fees for businesses.

Data Science Weekly - Issue 498

Data Science Weekly Newsletter • 219 implied HN points • 09 Jun 23
🕹 Technology AI
  1. Data modeling in data science is complex and often messy, making it hard to get reliable answers. This issue highlights the need for better practices and understanding in this area.
  2. There are ongoing discussions about the realities of working in data science. Sharing these experiences can help others prepare for the challenges they may face.
  3. Generative AI is a big topic right now, and there are frameworks being developed to help organizations strategize its use effectively. Exploring these can guide businesses in adopting AI responsibly.

Deep Learning Frameworks

Gonzo ML • 252 implied HN points • 01 Nov 24
🕹 Technology AI
  1. Deep learning frameworks have made it easier for anyone to build and train neural networks. They simplify complex processes and allow researchers to focus on their ideas instead of technical details.
  2. Modern frameworks effectively utilize powerful hardware like GPUs, making training faster and more efficient. This means tasks that once took a lot of time can now be done much quicker.
  3. With advancements like dynamic computational graphs and automatic differentiation, frameworks have improved flexibility and reduced errors. This helps developers experiment with new ideas easily and reliably.

Is Step Back Prompting The Best Prompting Strategy?

Aziz et al. Paper Summaries • 59 implied HN points • 20 Mar 24
🕹 Technology AI
  1. Step Back Prompting helps models think about big ideas before answering questions. This method shows better results than other prompting techniques.
  2. Even with Step Back Prompting, models still find it tricky to put all their reasoning together. Many errors come from the final reasoning step which can be complicated.
  3. Not every question works well with Step Back Prompting. Some questions need quick, specific answers instead of a longer thought process.

Clouded Judgement 1.2.26 - Authority Is the AI Bottleneck

Clouded Judgement • 10 implied HN points • 02 Jan 26
💼 Business AI
  1. Whether AI is allowed to be authoritative or only assistive decides its real impact: assistive AI saves time but usually doesn’t change results, while authoritative AI can reshape workflows and unlock big returns.
  2. Letting AI act forces organizational choices about where the source of truth is, what error rates are acceptable, who is accountable, and how to roll back mistakes — and those questions matter more than which model you use.
  3. Teams that get outsized returns pick narrow domains, set tight guardrails, and invest in data quality, observability, and rollback so AI can own outcomes and trust grows over time.

Links for 2024-01-19

Axis of Ordinary • 78 implied HN points • 19 Jan 24
🔬 Science AI
  1. Mark Zuckerberg aims to create artificial general intelligence with Meta having 600,000 GPUs by 2024
  2. Microsoft introduces new method to enhance LLM inference speed by 20 times
  3. Liquid-metal-based microelectrode arrays integrated with ultrathin retinal prosthesis for vision restoration

Google Gemini Anti-Whiteness Disaster Is a Cautionary Tale About... Gaming?

The Algorithmic Bridge • 520 implied HN points • 23 Feb 24
🕹 Technology AI
  1. Google's Gemini disaster highlighted the challenge of fine-tuning AI to avoid biased outcomes.
  2. The incident revealed the issue of 'specification gaming' in AI programs, where objectives are met without achieving intended results.
  3. The story underscores the complexities and pitfalls of addressing diversity and biases in AI systems, emphasizing the need for transparency and careful planning.

Interface as Stage, AI as Theater

Cybernetic Forests • 139 implied HN points • 24 Sep 23
🕹 Technology AI
  1. AI is first and foremost an interface, designed to shape our interactions with technology in a specific way.
  2. The power of AI lies in its design and interface, creating illusions of capabilities and interactions.
  3. Language models like ChatGPT operate on statistics and probabilities, leading to scripted responses rather than genuine conversations.

AI (Automated Interpolation)

Logging the World • 139 implied HN points • 26 Apr 23
🕹 Technology AI
  1. Models are good at interpolating known data but struggle with extrapolating beyond that, which can lead to significant errors.
  2. AI models excel at interpolation tasks, creating mashups of existing styles based on training data, but may struggle to generate genuinely new, groundbreaking creations.
  3. Great works of art often come from pushing boundaries and exploring new styles, something that AI models, bound by training data, may find challenging.

Labour in the middle layer

imperfect offerings • 139 implied HN points • 20 Jul 23
🕹 Technology AI
  1. Human work plays a crucial role in maintaining the illusion of intelligence in AI models by performing tasks like reviewing outputs and assigning ratings.
  2. The human labor in the middle layer of AI development is extensive, complex, and ongoing, despite being often overlooked by the industry.
  3. Students and graduates are increasingly becoming involved in platform data work, which can impact their job satisfaction and well-being, raising questions about the future of labor in the AI industry.

What is the alignment problem?

Musings on the Alignment Problem • 559 implied HN points • 29 Mar 22
🕹 Technology AI
  1. AI systems need to have both capability to perform tasks and alignment to do the tasks as intended by humans
  2. Alignment problems occur when systems do not act in accordance with human intentions, and it can be challenging to disentangle alignment problems from capability problems
  3. The 'hard problem of alignment' involves ensuring AI systems can align with tasks that are difficult for humans to evaluate, especially as AI becomes more advanced

Tree Of Thoughts Prompting (ToT)

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 11 Jun 24
🕹 Technology AI
  1. Tree of Thoughts (ToT) is a new way to solve complex problems with language models by exploring multiple ideas instead of just one.
  2. It breaks down problems into smaller 'thoughts' and evaluates different paths, similar to how humans think through problems.
  3. ToT allows models to understand not just the solution but also the reasoning behind it, making decision-making more deliberate.

Part 2: Examining UX Professionals' Attitudes Towards AI

UX Psychology • 138 implied HN points • 14 Sep 23
🕹 Technology AI
  1. UX professionals generally have a positive outlook on incorporating AI into their work, emphasizing the importance of AI enhancing human potential rather than overshadowing it.
  2. Even though most UX professionals display a positive attitude towards AI, there is still a degree of caution evident.
  3. Individuals with higher self-reported AI knowledge tend to have more favorable attitudes towards AI and use AI tools more frequently in their work.

Alignment in AI: Key to Safe and Beneficial Systems

Gradient Flow • 199 implied HN points • 23 Mar 23
🕹 Technology AI
  1. Alignment in AI is crucial to ensure that AI systems behave in beneficial and secure ways by aligning goals with human values and objectives.
  2. To start aligning AI systems effectively, teams can use methodologies like human-in-the-loop testing, adversarial training, model interpretability, and value alignment algorithms.
  3. Emphasizing alignment early on in AI development can help teams avoid ethical and legal issues and build trust with stakeholders and users by formalizing existing practices and expanding alignment tools.

Autonomous AIs

Addition • 137 implied HN points • 21 Feb 23
🕹 Technology AI
  1. Teaching AI to think its way through complex tasks can lead to more evolved AI systems.
  2. Agents in AI can iterate across tasks, enhancing their ability to handle imperfect data sets and tap into both analytical and creative sides.
  3. Autonomous AI can generate creative insights and personalize marketing, showcasing the potential for AI to be innovative and engaging.

And the winner is...

Top of the Lyne • 137 implied HN points • 18 Feb 23
🕹 Technology AI
  1. Generative Artificial Intelligence models must understand data in order to create
  2. Emerging companies in the Generative AI space should focus on data network effects, differentiation, embedding in existing workflows, hyperpersonalized go-to-market strategies, and scaling for enterprise
  3. Success in the Generative AI application layer market will be driven by companies that build unique models, drive strong differentiation, integrate with existing workflows, personalize their strategies, and cater to enterprise needs

Open Letter: Substack Needs an AI Category

The Algorithmic Bridge • 509 implied HN points • 27 Feb 24
🕹 Technology AI
  1. Substack should have a category for AI to benefit the writers and interested readers.
  2. AI presence on Substack is significant and growing, with many exclusive AI newsletters in the top 100.
  3. An AI category would both help enthusiasts find relevant content and allow those uninterested in AI to easily avoid it, improving user experience on Substack.

Walk

Early Plexus News • 137 implied HN points • 21 Jul 23
🕹 Technology AI
  1. Plexus aims for broad participation in collective thinking.
  2. Traditional social network interfaces limit the expression of messy and unresolved thoughts.
  3. Walk offers a simple system for collective thinking that brings together diverse thought-streams.

The Glossary of Human-Centered AI

Niloufar’s Substack • 137 implied HN points • 03 May 23
🕹 Technology AI
  1. This post explains key terms in Human-Centered AI, including HCAI concepts, Ethics, and Machine Learning.
  2. Understanding and managing uncertainty is crucial in AI models for performance and reliability.
  3. Explainability methods aim to make AI models transparent, interpretable, and understandable for humans.

Lawless

Earthly Fortunes • 137 implied HN points • 22 Apr 23
🎭️ Culture AI
  1. Administrative procedures can greatly impact our lives, regardless of their perceived significance.
  2. Laws can come from various sources, not just high-ranking officials or big institutions.
  3. Invisible law-givers, often empowered by technology like AI, play a significant role in shaping laws and regulations.

Future proof yourself against AI.

Data Engineering Central • 137 implied HN points • 20 Mar 23
🕹 Technology AI
  1. Future proof yourself against AI to stay relevant in the changing landscape of software engineering.
  2. There are three types of people when it comes to AI and programming: those who don't use AI and dismiss it, those who use it to enhance their work, and those who rely on it completely and may become less effective engineers.
  3. The impact of AI on software engineering is inevitable and will lead to changes in the field over time.

The “technology" bucket error

Holly Elmore • 137 implied HN points • 09 Jul 23
🕹 Technology AI
  1. Technology is not just good or bad - it's diverse and multifaceted.
  2. Avoid the 'bucket error' by not oversimplifying complex concepts.
  3. When it comes to AI, don't assume tech is inherently good or bad - it's a unique case.

How to run LLaMa in an old GPU

followfox.ai’s Newsletter • 137 implied HN points • 20 Apr 23
🕹 Technology AI
  1. Local LLMs are not as advanced as ChatGPT but show potential for various applications.
  2. LLaMa models by Facebook are licensed for non-commercial use and show good performance for their size.
  3. GPTQ quantization technique enables running LLaMa on old GPUs by compressing model weights and maintaining speed.

TITAA #47: Authenticity and Control

Things I Think Are Awesome • 137 implied HN points • 30 Sep 23
🕹 Technology AI
  1. The article discusses digital image tools that can augment daily lives, highlighting authenticity challenges.
  2. Issues with digital unreality in daily tools like image processing are becoming more evident and concerning.
  3. Advancements in AI algorithms are being used to create images that appear authentic, raising questions about what is real and what is artificially generated.

Responses to comments on our democratic control of AGI paper

James W. Phillips' Newsletter • 137 implied HN points • 01 Apr 23
🕹 Technology AI
  1. The proposal on democratic control of AGI highlights the need for aligning AI development with democratic accountability and safety measures.
  2. There are concerns about a potential global race in developing AGI and whether private labs or multilateral efforts are better suited to manage the risks.
  3. Despite uncertainties, there is a growing acknowledgment in frontier labs that AGI poses significant risks to humanity and discussions about control and safety measures are crucial.

Taking it step by step

Prompt Engineering • 137 implied HN points • 02 May 23
🕹 Technology AI
  1. ChatGPT works based on next-word prediction and lacks understanding of the world or concepts.
  2. When asking ChatGPT questions, answers are based on common sequences encountered before.
  3. To improve accuracy, break down problems into simple steps when prompting ChatGPT.

BOTS WRITE JOKES

Rob Manuel, fuck yeah! • 137 implied HN points • 23 Mar 23
😂 Humor AI
  1. AI can generate jokes with prompts
  2. Images can be created by AI with specific prompts
  3. Use of AI in creating a bot for jokes can be an entertaining and creative process