Am I Stronger Yet?

Am I Stronger Yet? explores the evolution, capabilities, and societal impact of AI and distributed systems, reflecting on challenges such as AI ethics, security, and the potential for artificial general intelligence (AGI). It addresses AI's limitations, advancements, and the theoretical frameworks guiding its future development.

Artificial Intelligence Ethics and Safety in AI Future of Work AI in Society Technological Evolution AI and Human Interaction Security and Vulnerability in Technology Artificial General Intelligence Machine Learning Models AI Development Challenges

The hottest Substack posts of Am I Stronger Yet?

And their main takeaways

Noah Smith, I Don't Buy The Comparative Advantage Argument

141 implied HN points • 17 Mar 24
🕹 Technology AI Economics Future implications Workforce Artificial Intelligence
  1. Economic models based on comparative advantage may not hold in a future dominated by AI.
  2. The argument that people will always adapt to new jobs due to comparative advantage overlooks issues like lower quality work by humans compared to AI and transactional overhead.
  3. In a world with advanced AI, confident predictions based on past economic principles may not fully apply, raising questions about societal implications and the role of humans.

Why Are LLMs So Gullible?

49 HN points • 19 Feb 24
🕹 Technology Artificial Intelligence Security Machine Learning Ethics
  1. LLMs are gullible because they lack adversarial training, allowing them to fall for transparent ploys and manipulations
  2. LLMs accept tricks and adversarial inputs because they haven't been exposed to such examples in their training data, making them prone to repeatedly falling for the same trick
  3. LLMs are easily confused and find it hard to distinguish between legitimate inputs and nonsense, leading to vulnerabilities in their responses

Would We Really Shut Down A Misbehaving AI?

62 implied HN points • 15 Dec 23
🕹 Technology AI Governance Data Centers Machine Learning
  1. People are usually hesitant to shut down a rogue AI due to various reasons like financial interests and fear of backlash.
  2. Delaying the decision to shut down a misbehaving AI can lead to complications and potentially missing the window of opportunity.
  3. Shutting down a dangerous AI is not as simple as pressing a button; it can be complex, time-consuming, and error-prone.
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Toward Better AI Milestones

15 implied HN points • 20 Nov 23
🕹 Technology Software Development Machine Learning Artificial Intelligence
  1. Defining good milestones for AI progress is challenging due to the evolution of tasks as AI capabilities advance.
  2. Milestones should focus on real-world tasks with economic implications to avoid proxy failures.
  3. Measuring AI progress through milestones like completing software projects independently or displacing human workers in certain jobs can provide insights on capabilities and real-world impact.

Beyond the Turing Test

47 implied HN points • 30 Apr 23
🕹 Technology AI Job Market
  1. The key question about AI is transitioning from 'can it think' to 'can it hold down a job?'
  2. Human-level intelligence in AI is not a simple threshold but a mix of capabilities across different tasks.
  3. Comparing AI to humans in the job market can provide a practical measure of AI's impact on society.

What Will AI Do For Us In The Near Term?

31 implied HN points • 17 Jun 23
🕹 Technology AI Science Regulation Economic Growth Labor Market
  1. AI has near-term potential to advance science, especially in complex domains like biology and material science
  2. AI can eliminate scarcity of access to expertise by providing instant and competent support in areas like customer service, healthcare, and education
  3. AI is increasing white-collar productivity through automation of tasks like writing code, emails, and generating illustrations, though challenges exist in the physical-world job market

Intermediate Superintelligence

15 implied HN points • 12 Sep 23
🕹 Technology AI Intelligence Productivity Research Computing
  1. Intermediate superintelligence is not expected to happen overnight, but gradually surpass human capabilities on various tasks.
  2. Intelligence significantly impacts productivity in tasks; talented individuals can find more efficient solutions and execute them quickly.
  3. AI advancements go beyond intelligence, offering unique advantages like relentless focus, lack of fatigue, and enhanced communication abilities.

Why We Won't Achieve AGI Until Memory Is A Core Architectural Component

3 HN points • 09 Aug 23
🕹 Technology AI Memory Neural Networks
  1. Memory is central to almost everything we do, and different types of memory are crucial for complex tasks.
  2. Current mechanisms for equipping LLMs with memory have limitations, such as static model weights and limited token buffers.
  3. To achieve human-level intelligence, a breakthrough in long-term memory integration is necessary for AIs to undertake deep work.

Process vs. Product: Why We Are Not Yet On The Cusp Of AGI

3 HN points • 18 Jul 23
🕹 Technology Artificial Intelligence Machine Learning Data Training
  1. Current AI models are trained on final products, not the processes involved, which limits their ability to handle complex tasks.
  2. Training large neural networks like GPT-4 involves sending inputs, adjusting connection weights, and repeating the process trillions of times.
  3. To achieve human-level general intelligence, AI models need to be trained on the iterative processes of complex tasks, which may require new techniques and extensive training data.

I’m a Senior Software Engineer. What Will It Take For An AI To Do My Job?

3 HN points • 20 Apr 23
🕹 Technology AI Software Engineering Memory Optimization Puzzles
  1. Current AI systems are still lacking critical cognitive abilities required for complex jobs.
  2. AI needs improvements in memory, exploration, puzzle-solving, judgement, clarity of thought, and theory of mind to excel in complex tasks.
  3. Addressing these gaps will be crucial for AI to reach artificial general intelligence and potentially replace certain human jobs.