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The key takeaways from the article (IMO in italics):
AI development has flipped over the last decade from academia-led to industry-led, by a large margin, and this shows no sign of changing. AI has reached prime time
It’s becoming difficult to test models on traditional benchmarks and a new paradigm may be needed here. Need lots of good quality data that is hard to come by - data quality, bias free, intelligently and appropriately tagged and scored
The energy footprint of AI training and use is becoming considerable, but we have yet to see how it may add efficiencies elsewhere. Short term problem - computer power is still growing exponentially and energy consumption will find solutions
The number of “AI incidents and controversies” has increased by a factor of 26 since 2012, which actually seems a bit low. Stand by for a tsunami with easier access but still the same dumb underlying technology. Correlation is not causation, and AI is poor at fact checking its own "hallucination" outpour
AI-related skills and job postings are increasing, but not as fast as you’d think.
Policymakers, however, are falling over themselves trying to write a definitive AI bill, a fool’s errand if there ever was one. The issue is not legislative rules by rather a shared set of principles and philosophy for the greater good of mankind and our world.
Investment has temporarily stalled, but that’s after an astronomic increase over the last decade.
More than 70% of Chinese, Saudi, and Indian respondents felt AI had more benefits than drawbacks. Americans? 35%. None of these regimes are ones I seek to promulgate. How do the Europeans think? I find they are more balanced in their weltanschau
For the full report, see: https://techcrunch.com/2023/04/04/the-takeaways-from-stanfords-386-page-report-on-the-state-of-ai/?utm_source=tldrnewsletter
Check out these postings as well as the mozilla's internet principles that might be a good starting point for AI:
https://www.linkedin.com/posts/nicholasseiersen_ai-ethicalai-airisks-activity-7045020782573350912-qx6a?utm_source=share&utm_medium=member_desktop
https://www.linkedin.com/feed/update/urn:li:activity:7045933633458622464?utm_source=share&utm_medium=member_desktop
The key takeaways from the article (IMO in italics):
AI development has flipped over the last decade from academia-led to industry-led, by a large margin, and this shows no sign of changing. AI has reached prime time
It’s becoming difficult to test models on traditional benchmarks and a new paradigm may be needed here. Need lots of good quality data that is hard to come by - data quality, bias free, intelligently and appropriately tagged and scored
The energy footprint of AI training and use is becoming considerable, but we have yet to see how it may add efficiencies elsewhere. Short term problem - computer power is still growing exponentially and energy consumption will find solutions
The number of “AI incidents and controversies” has increased by a factor of 26 since 2012, which actually seems a bit low. Stand by for a tsunami with easier access but still the same dumb underlying technology. Correlation is not causation, and AI is poor at fact checking its own "hallucination" outpour
AI-related skills and job postings are increasing, but not as fast as you’d think.
Policymakers, however, are falling over themselves trying to write a definitive AI bill, a fool’s errand if there ever was one. The issue is not legislative rules by rather a shared set of principles and philosophy for the greater good of mankind and our world.
Investment has temporarily stalled, but that’s after an astronomic increase over the last decade.
More than 70% of Chinese, Saudi, and Indian respondents felt AI had more benefits than drawbacks. Americans? 35%. None of these regimes are ones I seek to promulgate. How do the Europeans think? I find they are more balanced in their weltanschau
For the full report, see: https://techcrunch.com/2023/04/04/the-takeaways-from-stanfords-386-page-report-on-the-state-of-ai/?utm_source=tldrnewsletter
Check out these postings as well as the mozilla's internet principles that might be a good starting point for AI:
https://www.linkedin.com/posts/nicholasseiersen_ai-ethicalai-airisks-activity-7045020782573350912-qx6a?utm_source=share&utm_medium=member_desktop
https://www.linkedin.com/feed/update/urn:li:activity:7045933633458622464?utm_source=share&utm_medium=member_desktop
The key takeaways from the article (IMO in italics):
AI development has flipped over the last decade from academia-led to industry-led, by a large margin, and this shows no sign of changing. AI has reached prime time
It’s becoming difficult to test models on traditional benchmarks and a new paradigm may be needed here. Need lots of good quality data that is hard to come by - data quality, bias free, intelligently and appropriately tagged and scored
The energy footprint of AI training and use is becoming considerable, but we have yet to see how it may add efficiencies elsewhere. Short term problem - computer power is still growing exponentially and energy consumption will find solutions
The number of “AI incidents and controversies” has increased by a factor of 26 since 2012, which actually seems a bit low. Stand by for a tsunami with easier access but still the same dumb underlying technology. Correlation is not causation, and AI is poor at fact checking its own "hallucination" outpour
AI-related skills and job postings are increasing, but not as fast as you’d think.
Policymakers, however, are falling over themselves trying to write a definitive AI bill, a fool’s errand if there ever was one. The issue is not legislative rules by rather a shared set of principles and philosophy for the greater good of mankind and our world.
Investment has temporarily stalled, but that’s after an astronomic increase over the last decade.
More than 70% of Chinese, Saudi, and Indian respondents felt AI had more benefits than drawbacks. Americans? 35%. None of these regimes are ones I seek to promulgate. How do the Europeans think? I find they are more balanced in their weltanschau
For the full report, see: https://techcrunch.com/2023/04/04/the-takeaways-from-stanfords-386-page-report-on-the-state-of-ai/?utm_source=tldrnewsletter
Check out these postings as well as the mozilla's internet principles that might be a good starting point for AI:
https://www.linkedin.com/posts/nicholasseiersen_ai-ethicalai-airisks-activity-7045020782573350912-qx6a?utm_source=share&utm_medium=member_desktop
https://www.linkedin.com/feed/update/urn:li:activity:7045933633458622464?utm_source=share&utm_medium=member_desktop
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