What Happens When AI Starts Making A Better AI?

The study of logic and reasoning has led to the development of programmable digital computers since the 1940s, which are based on abstract mathematics.

In 1966, mathematician I. J. Good noted that an ultraintelligent machine could create superior machines, leading to an “intelligence explosion” that would surpass human intelligence.

In 1976, Apple released its first computer, selling for $666.66. The company’s logo prominently featured an Apple with a bite taken out of it, representing that using the computer is taking a bite out of the fruit on the Tree of the Knowledge of Good and Evil.

By selling it for $666.66, they were showing they believed the modern-day computer was the modern-day equivalent of the Tree of the Knowledge of Good and Evil, encompassing all brands, not just theirs.

In 1989, CERN made history by inventing the World Wide Web (WWW), revolutionizing how information is shared globally. This groundbreaking creation forever transformed the world’s communication and information systems.

In the early 2000s, machine learning was used to solve various problems in academia and industry, thanks to advances in computer hardware, large datasets, and advanced mathematical techniques.

Investment in AI surged in the 2020s, driven by advancements in transformer architecture and the release of large language models (LLMs) like ChatGPT. These models exhibit human-like qualities and have been adopted across various sectors, prompting significant investment.

However, concerns about the risks and ethical implications of advanced AI have sparked debates about its future impact on society. AI researchers view recursive self-improvement (RSI) as both promising and concerning. Recent advancements have raised questions about whether certain aspects of RSI are already happening.

It can mean different things: some advocate for regulation, while others see it as either a fully autonomous cycle or any technology that creates new technologies.

Researchers are developing systems that improve their outcomes and processes, including idea generation and result evaluation, without human intervention. This concept, known as Recursive Self-Improvement (RSI), involves machine-learning algorithms that automatically adjust parameters for programs that play games or create new software.

Large language models (LLMs) like GPT, Gemini, Claude, and Grok are advancing AI coding capabilities. OpenAI’s GPT-5.3-Codex has shown notable effectiveness in debugging and deployment. Anthropic utilizes Claude Code for code generation with some human oversight.

Last year, Google DeepMind launched AlphaEvolve, a coding agent for scientific discovery that utilizes large language models (LLMs). It aids in optimizing neural network architectures, scheduling data centers, and designing chips.

While humans choose which problems to solve and how to evaluate solutions, AlphaEvolve’s breakthroughs advance artificial intelligence. A computer scientist at Google DeepMind notes that the process is collaborative, allowing humans to learn from the system’s discoveries, which have already surprised the team.

“Our mission is to leverage AI to uncover new algorithms that have eluded human intuition,” noting that early results indicate this is achievable. Meanwhile, the co-leads of Google DeepMind’s AlphaChip have launched a startup, Ricursive Intelligence, to use AI to design AI chips, aiming to reduce the design cycle from years to just days.

Phase 1 assists human designers, while Phase 2 automates design for companies without in-house teams. In Phase 3, under human supervision, AI will create advanced chips for further training.

Projects such as Darwin Gödel Machines (DGMs) at the University of British Columbia and Sakana AI use evolutionary algorithms to improve coding agents built on large language models (LLMs). Agents can modify their own code, but cannot alter the underlying large language model.

A computer scientist from the University of British Columbia believes that enhancing AI with AI is a vital goal in Silicon Valley. He suggests we are nearing the development of self-improving systems that could transform various fields, although AI still struggles to generate, implement, and evaluate ideas effectively.

A senior fellow at the Foundation for American Innovation observes that while key components of AI function adequately, they do not yet match the capabilities of top human scientists. Currently, AI focuses on routine algorithmic tasks rather than on automating genius.

Many scientists are concerned about the potential for runaway self-improvement, or the singularity. In interviews with 25 AI experts, nearly all agreed that automating AI research could trigger an intelligence explosion.

Participants believe AI companies are likely to keep their self-improving models confidential. David Scott Krueger, a computer scientist at the University of Montreal and founder of the AI safety nonprofit Evitable, warns that risky research is happening “outside the public eye.”

He calls for a global pause in AI development, stating, “It’s gambling with everyone’s lives,” and notes we may soon reach a point where 99 percent of code is generated by AI.

John 8:44 Ye are of your father the devil, and the lusts of your father ye will do. He was a murderer from the beginning, and abode not in the truth, because there is no truth in him. When he speaketh a lie, he speaketh of his own: for he is a liar, and the father of it .

Revelation 9:1. To him was given the key to the bottomless pit.

Revelation 9:2 And he opened the bottomless pit; and there arose a smoke out of the pit, as the smoke of a great furnace; and the sun and the air were darkened by reason of the smoke of the pit.

Revelation 9:3 And there came out of the smoke locusts upon the earth: and unto them was given power, as the scorpions of the earth have power.

Revelation 9:7 And the shapes of the locusts were like unto horses prepared unto battle; and on their heads were as it were crowns like gold, and their faces were as the faces of men.

Revelation 9:8 And they had hair as the hair of women, and their teeth were as the teeth of lions.

Revelation 9:9 And they had breastplates, as it were breastplates of iron; and the sound of their wings was as the sound of chariots of many horses running to battle.

Revelations 9:11 And they had a king over them, which is the angel of the bottomless pit, whose name in the Hebrew tongue is Abaddon, but in the Greek tongue hath his name Apollyon.

Revelation 13:15 And he had power to give life unto the image of the beast, that the image of the beast should both speak, and cause that as many as would not worship the image of the beast should be killed.

Revelation 13:16 And he causeth all, both small and great, rich and poor, free and bond, to receive a mark in their right hand, or in their foreheads:

Revelation 13:17 And that no man might buy or sell, save he that had the mark, or the name of the beast, or the number of his name.

Click here to read more articles at: transformedbythetruth.com

Share this: