The hottest AGI Substack posts right now

And their main takeaways
Category
Top Technology Topics

AI End Game

Daniel Pinchbeck’s Newsletter • 9 implied HN points • 21 Feb 25
🕹 Technology Artificial Intelligence AGI Surveillance Ethics
  1. We are getting close to achieving Artificial General Intelligence (AGI), which could change everything about how society works. It's important to consider how this might affect people's jobs and overall life.
  2. Some powerful people believe that with AGI, they can gain more control and lessen the need for human workers, which could lead to a society where only a few have the power and wealth. This situation might make many people feel unnecessary and unvalued.
  3. There is a real danger that if we don't act soon to share the benefits of AI fairly, the rich will have control and power over everyone else. If this continues, it could lead to major issues, including attempts to reduce the population.

Cognitive scientist Gary Marcus says AI must be regulated. He has a plan.

Marcus on AI • 3003 implied HN points • 27 Nov 24
🕹 Technology AI Ethics Regulation Cognitive Science Policy AGI
  1. AI needs rules and regulations to keep it safe. It is important to have a plan to guide this process.
  2. There is an ongoing debate about how different regions, like the EU and US, approach AI policy. These discussions are crucial for the future of AI.
  3. Experts like Gary Marcus share insights about the challenges and possibilities of AI technology. Listening to their views helps understand AI better.
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Introducing DrGupta.AI

Martin’s Newsletter • 707 implied HN points • 20 Apr 23
🕹 Technology AI Healthcare Investors Regulation AGI
  1. Healthcare costs are high due to limited supply of healthcare professionals, but AI could help increase efficiency.
  2. Investors are not as important for a startup's success as team motivation and technology advancement.
  3. Accelerationism advocates for technology benefits without excessive regulations, and AGI still faces challenges in planning and execution.

Clues Say Generative AI’s Future Will Be Revealed in 2024

The Algorithmic Bridge • 700 implied HN points • 19 Jan 24
🕹 Technology AI Generative AI AGI Open Source
  1. 2024 is a significant year for generative AI with a focus on revelations rather than just growth.
  2. There is uncertainty on whether GPT-4 is the best we can achieve with current technology or if there is room for improvement.
  3. Mark Zuckerberg's Meta is making a strong push towards AGI, setting up a high-stakes scenario for AI development in 2024.

My Expectations for AI in 2024

Bojan’s Newsletter • 196 implied HN points • 08 Jan 24
🕹 Technology AI GenAI AGI
  1. Expect the release of GPT-5 in 2024, marking a significant advancement in AI models.
  2. AI tools may reach the limit of LLM capabilities, requiring integration with other technologies for further progress.
  3. Anticipate practical advancements in AI in 2024, such as fixing hallucinations, reliable AI-generated content, and 3D GenAI systems.

Sam Altman Says GPT-5 Will Be ‘Okay’

The Algorithmic Bridge • 297 implied HN points • 30 Jan 24
🕹 Technology AI Hype Marketing AGI Expectations
  1. Sam Altman's messaging on AI and GPT-5 is intentionally confusing, swinging between hype and moderation.
  2. Hype and anti-hype make nuanced discussions difficult and highlight the importance of balanced messaging.
  3. There is speculation on whether Altman's statement on GPT-5 being 'okay' is due to high expectations or actual limitations of the technology.

Elon Musk-OpenAI Lawsuit Explained in 5 Mins

The Algorithmic Bridge • 254 implied HN points • 01 Mar 24
🕹 Technology AI Lawsuit Business Model AGI
  1. Elon Musk filed a lawsuit against OpenAI and Sam Altman due to concerns over OpenAI's shift from non-profit to for-profit, closed-source model.
  2. The lawsuit alleges that GPT-4 by OpenAI is an AGI algorithm and criticizes the shift in OpenAI's structure to a closed, for-profit entity tied to Microsoft.
  3. Elon Musk's motivations for the lawsuit include concerns over AI safety, the impact on his other businesses, and personal feelings of betrayal.

Understanding Large Language Models

Startup Pirate by Alex Alexakis • 216 implied HN points • 12 May 23
🕹 Technology AI Neural Networks Deep Learning Language Models AGI
  1. Large Language Models (LLMs) revolutionized AI by enabling computers to learn language characteristics and generate text.
  2. Neural networks, especially transformers, played a significant role in the development and success of LLMs.
  3. The rapid growth of LLMs has led to innovative applications like autonomous agents, but also raises concerns about the race towards Artificial General Intelligence (AGI).

Are We There Yet?

Bojan’s Newsletter • 196 implied HN points • 25 Sep 23
🕹 Technology AI OpenAI AGI Artificial Intelligence Technology Industry
  1. Cryptic tweets from OpenAI founders hint at significant advancements in AI startups surpassing established researchers and reaching AGI levels.
  2. Speculation rises around an internal achievement of AGI at OpenAI, with uncertain implications for future development and practical applications.
  3. AI benchmarks are being rapidly surpassed, suggesting potential strides towards self-improving AI, though the exact progress and intentions of OpenAI remain unclear.

Superforecasting the premises in “Is power-seeking AI an existential risk?”

Joe Carlsmith's Substack • 58 implied HN points • 18 Oct 23
🕹 Technology AI Forecasting Existential Risk AGI
  1. Good Judgment solicited reviews and forecasts from superforecasters on the argument for AI risk.
  2. Superforecasters placed higher probabilities on some AI risk premises and lower on others compared to the original report.
  3. Author is skeptical of heavy updates based solely on superforecaster numbers and emphasizes the importance of object-level arguments.

Big Post About Big Context

Gonzo ML • 49 HN points • 29 Feb 24
🕹 Technology AI Machine Learning Models Programming AGI
  1. The context size in modern LLMs keeps increasing significantly, from 4k to 200k tokens, leading to improved model capabilities.
  2. The ability of models to handle 1M tokens allows for new possibilities like analyzing legal documents or generating code from videos, enhancing productivity.
  3. As AI models advance, the nature of work for entry positions may change, challenging the need for juniors and suggesting a shift towards content validation tools.

Disobedience and Intelligence

Scaling Knowledge • 39 implied HN points • 23 Apr 23
🕹 Technology Innovation IQ AGI 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.

E6: BLIP/BLIP2 & E7: Perplexity

The Cognitive Revolution • 19 implied HN points • 15 Mar 23
🕹 Technology AI Innovation Models AGI
  1. The future of AI involves processing visual data through language models like Google's Flamingo and utilizing options such as image captioning, VQA, OCR, tagging, and aesthetics.
  2. AI can evaluate image aesthetics to improve user experience, sales, and platform aesthetics, with tools like proprietary models from Everypixel and open-source models like LAION.
  3. Established companies should prioritize user needs over building their own models, focusing on delivering the best solutions, reducing costs, and being adaptable to market changes.

Trusted AI #007 - My thoughts on AI Existentialism

Trusted • 19 implied HN points • 26 Jun 23
🕹 Technology AI Existentialism Risk Assessment AGI Superintelligence
  1. In the near-term, the risk of AI causing extinction is extremely unlikely based on current knowledge.
  2. In the long-term, the risk of extinction from AI is higher but uncertain, requiring more research and caution.
  3. Efforts to reduce uncertainty about AI risks are crucial, but hasty actions could potentially do more harm than good.

ChatGPT, Please Take My Job!

Apricitas Economics • 60 implied HN points • 04 Mar 23
🕹 Technology AI Automation Future of work Economic Impacts AGI
  1. Artificial General Intelligence (AGI) could lead to a rise in global human employment by creating new and more productive job opportunities.
  2. Humans are not like horses; the economy is driven by human needs and desires, and there is no limit to the value humans can derive from the economy.
  3. In a future with AGI, humans may have a comparative advantage in tasks requiring physical dexterity, social interaction, solving 'last mile' problems, and areas where people are an essential part of the service provided.

Nibble #12

The Nibble • 14 implied HN points • 18 Jun 23
🕹 Technology AI Data Breach AGI Software Development
  1. CoWIN experienced an alleged data breach involving sensitive personal information like Aadhar and passport details.
  2. Google recently sold its domain business to Squarespace.
  3. OpenAI released new updates, including powerful API enhancements and feature additions.

The Basic Economics of AGI, and Why Open Source will Lose

e/alpha • 2 HN points • 13 Feb 24
🕹 Technology AI Open Source Market Dynamics AGI Tech Companies
  1. Task-engaged AIs will dominate value creation as they are directly connected to tasks and results, leading to transformative impacts.
  2. The AI value chain will be driven by proprietary data in the long term, with winners initially based on access to compute and R&D talent.
  3. AGI is expected to be monopolistic, commercial, open-access, and affordable, leveling differences and nullifying capital inequality.

OpenAI: The Board Expands

Don't Worry About the Vase • 1 HN point • 12 Mar 24
🕹 Technology AI Ethics AI Development AGI Interview OpenAI
  1. The investigation found no wrongdoing with OpenAI and the new board has been expanded, showing that Sam Altman is back in control.
  2. The new board members lack technical understanding of AI, raising concerns about the board's ability to govern OpenAI effectively.
  3. There are lingering questions about what caused the initial attempt to fire Sam Altman and the ongoing status of Ilya Sutskever within OpenAI.

When We Forecast AGI, Do We Mean In The Lab Or In The Field?

Am I Stronger Yet? • 2 HN points • 01 Sep 23
🕹 Technology AGI Artificial Intelligence Emergence Adoption Safety
  1. The arrival of AGI will happen gradually over decades, not with a sudden flip of a switch.
  2. To estimate AGI arrival, we need to consider factors like cost, availability, quality, and real-world applicability.
  3. AGI timelines need to map out the entire process from lab creation to broad deployment, rather than focusing on a single date.

Uploads are Impossible

PashaNomics • 2 implied HN points • 12 May 23
🔬 Science Physics Computer Science Philosophy Culture AGI
  1. Creating digital uploads of human minds is likely impossible due to challenges in physics, computer science, and philosophy.
  2. The process of verifying a successful upload is complex, involving difficult tasks such as identifying 'soul' in the digital mind.
  3. Cultural dynamics and human nature present challenges in ensuring the safety and ethical treatment of digital uploads.

The idea of an "aligned superintelligence" seems misguided :/

Scott Sadler's Substack • 0 implied HN points • 27 Feb 23
🕹 Technology AI Complexity AGI Risk mitigation AI Governance
  1. The concept of aligning superintelligence seems challenging due to the complexity of managing it
  2. Complexity tends to escape control over time, posing a significant challenge for AI safety
  3. We should focus on analyzing and mitigating risks, socializing AI, and involving multiple fields to prepare for potential AI threats