Piekniewski

About:

Researcher focused on dynamics in AI and machine learning, aiming to solve Moravec’s Paradox.

Website:

blog.piekniewski.info

Specializations:

Researcher

Interests:

Computer vision AI Machine learning Dynamics in machine learning Robotics Moravec’s Paradox

Outgoing Links:

Ben Dickson

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2024-11-13 •

The text discusses the predictions of Ray Kurzweil regarding the development of AI and AGI, and argues that we are at least 23 years behind the original predictions. It uses the example of insect brain capabilities and compares th...

2024-04-01 •

The text discusses the Central Limit Theorem and its assumptions, and how it is affected by the dependence of variables. It explains how the Gaussian distribution is not the only distribution that matters and how other distributio...

2023-10-22 •

The author discusses his journey from being raised as a catholic to becoming an atheist and the religious nature of modern society, particularly in relation to the AI scene. He criticizes the blind faith in technological advanceme...

2023-04-16 •

The text discusses the evolution of intelligence from the very beginning of life on Earth, focusing on the development of control mechanisms and the emergence of the neocortex in mammals. It emphasizes the interconnectedness of di...

2023-04-09 •

The text discusses the limitations of contemporary AI, particularly in deep learning, and the dangers of relying on statistical measures of performance without understanding the mechanisms behind the conclusions. It also addresses...

2023-02-08 •

The text discusses the hyper-stimulated era of social media and the fear mongering surrounding Artificial Intelligence. The author argues that the term A.I. is biased and vague, and that the fear of certain professions being displ...

2023-01-03 •

The author discusses his journey from being a believer in science to questioning the dogma in science. He talks about alternative theories in science, the limitations of statistics, and the toxic nature of the scientific community...

2022-12-10 •

The text discusses the nature of statistics in the modern era of computers and data science, explaining that it is essentially glorified statistics with a computer. It delves into the types of signals and systems that statistics c...

2021-12-19 •

The blog post discusses the failure of Tesla's Full Self Driving (FSD) system, arguing that AI hasn't reached the necessary understanding of physical reality to become truly autonomous. The author claims that the current AI approa...

2021-11-17 •

The text discusses the analogy between brains and computers, and the flaws in the argument that the universe is a computer. It highlights the differences between brains and computers, and concludes that the brain-computer analogy ...

2021-05-12 •

The text discusses the reality of self-driving cars in 2021, highlighting the failures of Tesla's robotaxis and the challenges faced by other companies such as Waymo, Uber, and Lyft. It also touches on the deflating AI hype and th...

2020-12-31 •

The year 2020 has been a strange and challenging year, with many AI companies facing financial difficulties and flagship projects imploding. DeepMind has shown progress in protein folding, but the company's financials are concerni...

2020-06-08 •

The author discusses the current state of AI and its limitations, emphasizing that all AI are computer programs. He explains the three basic ways of constructing computer programs and the problems with stitching deep learning and ...

2020-04-13 •

The post discusses various topics related to AI, including the impact of COVID-19 on the economy, the limitations of OpenAI, the failure of AI startups, and the challenges of autonomous vehicles. It also touches on the NTSB report...

2020-03-01 •

The text discusses the flaws in California DMV disengagement reports for autonomous vehicles, and how these numbers are not reliable indicators of safety. It also questions the progress of companies like Waymo, Cruise, Baidu, and ...