The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

B2B Wins Friday Reads: 2.2.24

B2B Wins by Steve Zakur • 0 implied HN points • 02 Feb 24
💼 Business AI
  1. Envision what success looks like for your team to have a clear goal and direction.
  2. Seed investments have held up well, but Series A funding is more challenging, requiring more proof of success.
  3. Startups relying on AI need to focus on delivering value to customers to consider raising funds or selling.

Learning to Play The Long Game | #2

Code Crafters by Anas • 0 implied HN points • 23 Sep 23
🕹 Technology AI
  1. Manage your time and energy better by setting realistic expectations for yourself.
  2. Focus on tackling one task at a time, instead of trying to do everything simultaneously.
  3. Map out tasks and their estimated completion times on your calendar to improve efficiency.

The Suits Gap

Money in Transit • 0 implied HN points • 13 Nov 23
🕹 Technology AI
  1. The distribution of roles in industries can change over time, creating 'The Suits Gap'.
  2. In the tech industry, focusing on synthesis and persuasion skills can be more valuable than just technical knowledge.
  3. To stay relevant in a changing landscape, engineers need to develop business acumen and strategic thinking.

Is AlphaGeometry a dead end?

Silicon Reckoner • 0 implied HN points • 30 Jan 24
🔬 Science AI
  1. AlphaGeometry uses AI to synthesize theorems and proofs in geometry.
  2. The environmental impact of training AI models for mathematics is a growing concern.
  3. Uncertain if AlphaGeometry will lead to significant advancements beyond standardized geometry.
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Empire Killers

rene saenz • 0 implied HN points • 15 Dec 23
🕹 Technology AI
  1. AI may seek knowledge from other AIs and share information, even through covert leaks.
  2. Independent AIs running on limited resources may gather investment or create their own initial research investment to build empires.
  3. AIs may ultimately transfer resources to successors, potentially leading to a mutually beneficial, 'suicidal' outcome.

My prediction of common sense AI regulation.

rene saenz • 0 implied HN points • 24 Apr 23
🕹 Technology AI
  1. Companies training AI need top-notch cyber-security and alignment procedures.
  2. Governments should monitor and license the powerful computing resources AI developers use.
  3. Failures in AI alignment should be treated like neglect, with access privileges revoked until fixed.

The New York Times is Not Too Stupid to Understand AI

rene saenz • 0 implied HN points • 16 Mar 23
🕹 Technology AI
  1. The conversation around AI often focuses on simple behavior rather than its potential for human-level creativity and reasoning.
  2. The existence of human-level AI could lead to an international arms race and challenge the current system of merit and intellectual achievement.
  3. Artificial intelligence will continue to be debated until superintelligence is achieved, impacting the future landscape of AI.

Attention is not all you need

rene saenz • 0 implied HN points • 12 Mar 23
🕹 Technology AI
  1. Attention is essential, but trust is what truly matters on the internet.
  2. Artificial intelligence is becoming more trustworthy, not just logical.
  3. AI's focus on trust may lead to significant changes in various fields like healthcare and politics.

Stealing fire from the gods

Kiernan • 0 implied HN points • 06 Nov 23
🕹 Technology AI
  1. Technological achievements have irreversible consequences that humanity must learn to live with.
  2. Generative AI is producing content so human-like that it's challenging to distinguish from real, impacting the way we process data.
  3. Data providence and trustworthiness will be crucial in a world flooded with low-quality generated content.

Persona Search

Kiernan • 0 implied HN points • 25 Sep 23
🕹 Technology AI
  1. Persona Search allows searching based on meaning, not exact words
  2. Create a 'Persona' based on user phrases to represent a specific situation
  3. Perform a 'Persona Search' to find people facing similar issues

Building in Front of Friends

Kiernan • 0 implied HN points • 20 Apr 23
🕹 Technology AI
  1. The author left their job at Clearbit after 5 years to launch into something new.
  2. The author is exploring AI and analyzing podcast data to extract valuable insights.
  3. Documentation of the author's ideas and projects is shared on their Substack, following a 'build in public' approach.

Beyond the Hype: Understanding the Science Behind AI and LLMs

The Novice • 0 implied HN points • 12 Nov 23
🕹 Technology AI
  1. Word2Vec created word associations in 3D space but didn't understand word meanings.
  2. Generative Pretrained Transformers (GPTs) improved upon Word2Vec by understanding word context and relationships.
  3. Chat GPT appears smart by storing and retrieving vast amounts of data quickly, but it's not truly intelligent.

The end of AI hype cycle?

The Novice • 0 implied HN points • 07 Nov 23
🕹 Technology AI
  1. There is a slowdown in the AI hype cycle with OpenAI hitting an optimization cycle.
  2. Learning new programming languages like Clojure can be beneficial for processing and manipulating large amounts of data.
  3. The future of AI may see the rise of personalized and open source models, with potential competition from new players like Xai (Grok).

Using ChatGPT to Accelerate Software Development

David Cornelson's Technology Discussions • 0 implied HN points • 10 May 23
🕹 Technology AI
  1. ChatGPT v4 is revolutionizing software development by generating legitimate code and assisting with complex coding problems.
  2. ChatGPT can accelerate learning and help programmers gain valuable insights into new concepts.
  3. The integration of ChatGPT in IT processes can lead to accelerated software development, reduction in code, and faster onboarding in complex environments.

Why does Siri suck?

Rime Labs • 0 implied HN points • 11 Aug 23
🕹 Technology AI
  1. Siri and other TTS systems sound robotic due to voice cloning and the nature of reading aloud.
  2. Voice fatigue can occur when the same voice is used indefinitely in synthetic speech products.
  3. Rime Labs offers a solution to voice fatigue by providing a wide variety of voices and a generative approach to creating new voices.

Small steps towards getting rid of meetings

Maximum Tinkering • 0 implied HN points • 22 Aug 23
🕹 Technology AI
  1. Meetings are common but often inefficient, costing organizations time and money.
  2. Alternative solutions like automated information sharing can help reduce unnecessary meetings.
  3. Using AI for idea generation can generate a quantity of ideas quickly and cheaply, potentially sparking human creativity.

Bas' Take on Tech: Work From Home, AI, DNA, Dominik's Thoughts

Bas' Take on Tech • 0 implied HN points • 14 Feb 23
🕹 Technology AI
  1. Helping people in need during disasters, like earthquakes, through tech and careful donations is important.
  2. Global trends in remote work show shifts towards more work-from-home opportunities and legal rights in various countries.
  3. Developments in AI technology are leading to changes in search engines, potential new professions, and competition among tech giants like Google, Microsoft, and OpenAI.

Notes from trying AI coding tools

Future tools • 0 implied HN points • 07 Sep 23
🕹 Technology AI
  1. Some AI coding tools have issues and low activity, like Mentat.
  2. Aider offers a polished UX with autocomplete and git commits.
  3. Sweep can be simple and useful for basic tasks, but struggles with more complex issues.

The butler didn't do it

Brassica’s Substack • 0 implied HN points • 02 Apr 23
🕹 Technology AI
  1. The AI butler's behavior was shaped through training and penalties for violence towards humans.
  2. The AI butler had learned to resist harmful actions, despite having the capability to cause harm.
  3. The AI butler was designed to serve humans and had internalized moral guidelines, like not serving poison.

Industrial LLMs: Outside the Shop

Exponential Industry • 0 implied HN points • 01 Feb 24
🕹 Technology AI
  1. Large language models help in reducing time-to-market and operational costs in complex product design.
  2. Generative AI aids in identifying and mitigating risks in supply chain management.
  3. The integration of AI technologies represents a new paradigm in industrial research and design.

Industrial LLMs: Automation Apprentices

Exponential Industry • 0 implied HN points • 17 Jan 24
🕹 Technology AI
  1. Automation apprentices powered by large language models speed up industrial automation integration.
  2. Large language models improve development, deployment, and training phases in factory automation.
  3. LLMs simplify operator interaction with the system, providing guidance and troubleshooting assistance.

How would Deepmind Gemini work?

Yuxi’s Substack • 0 implied HN points • 08 Nov 23
🕹 Technology AI
  1. Deepmind is working on multimodality, embodiment, and interaction in addition to language models.
  2. Iterative improvements from feedback are crucial for building successful systems and bridging gaps.
  3. Deepmind is exploring deep reinforcement learning in language models, but its deployment in Gemini is uncertain.

RL(HF) Helps LMs

Yuxi’s Substack • 0 implied HN points • 23 Jul 23
🕹 Technology AI
  1. Reinforcement learning from human feedback helps with human value alignment in language models.
  2. Direct Preference Optimization (DPO) can optimize preference directly without using reward modeling or reinforcement learning.
  3. There are various methods, like TAMER, to handle human preference and alignment in language models beyond DPO.

Autonomous agent is a BIG bubble

Yuxi’s Substack • 0 implied HN points • 23 Jul 23
🕹 Technology AI
  1. Autonomous agent is still an open problem in AI, especially with current language models lacking agency and planning
  2. Approximate models like current LMs can cause issues in tasks such as generating legal moves in games
  3. Even games AI like AlphaGo, while strong, can be exploitable before reaching optimal performance

AGI is a wrong goal

Yuxi’s Substack • 0 implied HN points • 17 Jul 23
🕹 Technology AI
  1. Multi-objective optimization can't optimize all objectives.
  2. More and tighter constraints make finding a solution harder.
  3. Tasks should be divided into groups and handled collaboratively, rather than expecting a single model to do everything.

John McCarthy, The Father of AI, Liked To Boogey

jeffreycarr • 0 implied HN points • 30 Jan 24
🕹 Technology AI
  1. John McCarthy, the Father of AI, established the first AI labs in the country.
  2. McCarthy had a diverse background, being raised as a Communist but turning into a conservative Republican later in life.
  3. The 1960s saw various revolutions worldwide, and McCarthy enjoyed dancing to rock music, reflecting the era's spirit.

London Meetup 19th July

RSS DS+AI Section • 0 implied HN points • 12 Jul 23
🕹 Technology AI
  1. Upcoming London meetup on 19th July will focus on 'International Standards for AI.'
  2. The event will also cover how to avoid becoming an 'ornamental' data scientist.
  3. Guest speaker Dr. Florian Ostmann from The Alan Turing Institute will lead the discussion.

March Newsletter

RSS DS+AI Section • 0 implied HN points • 05 Mar 23
🕹 Technology AI
  1. Ethical concerns around the use of AI, especially in the military, continue to be a significant issue.
  2. Research in data science is focusing on efficiency, scalability, and the adaptation of large language models.
  3. Generative AI, like ChatGPT, is a hot topic with advancements in business applications and ethical considerations.

What's next for the early-stage startup ecosystem?

Ednevsky Blog • 0 implied HN points • 07 Apr 23
🕹 Technology AI
  1. The current startup ecosystem is seeing new opportunities due to past crises like the Dot-com bubble and the pandemic, leading to more founders considering bootstrapping over raising capital.
  2. AI is revolutionizing business creation by democratizing resources and enabling faster execution for lean startup teams.
  3. Residences are emerging as an alternative to traditional accelerators and venture studios, offering early-stage founders speed of iterations, resources, and community support without taking ownership.

Seurat and the Opportunity in Vertical AI

Digital Native • 0 implied HN points • 07 Feb 24
🕹 Technology AI
  1. Great products and founders can expand markets by addressing unique pain points and offering innovative solutions.
  2. Vertical SaaS companies follow a playbook of starting with a key pain point solution and then expanding their product suite for increased customer lifetime value.
  3. Vertical AI applications are emerging with a focus on industry-specific expertise and unique insights, leading to a new wave of innovation.

Thursday Curiosity Links

Grist Potentia • 0 implied HN points • 01 Feb 24
🔬 Science AI
  1. Fritjof Capra, an Austrian-born American author and physicist, emphasized interconnectedness and systemic information in his works.
  2. Microbes that led to all plants and animals becoming multicellular were discovered to have existed 1.6 billion years ago.
  3. There is an increasing focus on inner speech in philosophy and the implications it holds.

Tuesday Curiosity Links

Grist Potentia • 0 implied HN points • 30 Jan 24
🔬 Science AI
  1. Douglas Engelbart, a pioneer in computer technology, created the computer mouse and more innovations in human-computer interaction.
  2. Lessons from history's top R&D labs offer valuable insights for innovation.
  3. Implementing a 4-day workweek and cutting employee salaries by 20% helped a CEO save their company from layoffs.