New MIT paper shows General AI and Machine Learning is still largely ineffective — And the industry is still unable to be intellectually and ethically honest about that
An article on the MIT paper — DeepMind researchers say reinforcement learning is the key to cracking general AI
https://thenextweb.com/news/deepmind-reinforcement-learning-enough-general-ai-syndication
This study assumes general learning is only the linking of micro successful “learned” (memorized) events. An activity I perform now, that seems to have a positive outcome, or at least not a negative one, could set up catastrophe later. There is no way a micro step by step scenario memorization and execution recall process is going to this right. This is not learning or inference at all.
Then there are the points made by Denis Rothman in this excellent LinkedIn post
It’s very clear the AI and Machine Learning community is desperate. While reinforcement learning may very well have value, it is a clear stretch to say it is the key to general learning or machine learning and that the micro event approach is effective in threads with any complexity. Or that all of this adds up to general knowledge or any significant levels of complex machine learning at all. This is evident from just a layman’s common sense POV. This is all quite unfortunate because these folks come from MIT. I guess the Silicon Valley hype disease has consumed them too. (This was evident with the forced exile of Lex Fridman. The Tesla/Elon Musk deep learning shill.) All this lack of intellectual and ethical fortitude is going to do is satisfy short term selfish ego and financial goals. In the end it will doom some industries and likely harm people needlessly, especially where autonomy is involved.
Lex Fridman, MIT Deep Learning Research Scientist, is Misleading his Students and putting them at Risk
My name is Michael DeKort — I am a former system engineer, engineering, and program manager for Lockheed Martin. I worked in Aerospace/DoD/FAA simulation, as the Software Engineering Manager for all of NORAD, as a PM on the Aegis Weapon System, as a C4ISR systems engineer for the DHS Deepwater program and the lead C4ISR engineer for the Counter-terrorism team at the US State Department. I am now CEO/CTO at Dactle.
Industry Participation — Air and Ground
- Founder SAE On-Road Autonomous Driving Simulation Task Force
- Member SAE ORAD Verification and Validation Task Force
- Member UNECE WP.29 SG2 Virtual Testing
- Stakeholder USDOT VOICES (Virtual Open Innovation Collaborative Environment for Safety)
- Member SAE G-34 / EUROCAE WG-114 Artificial Intelligence in Aviation
- Member CIVATAglobal — Civic Air Transport Association
- Stakeholder for UL4600 — Creating AV Safety Guidelines
- Member of the IEEE Artificial Intelligence & Autonomous Systems Policy Committee
- Presented the IEEE Barus Ethics Award for Post 9/11 DoD/DHS Whistleblowing Efforts
