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Steve Jobs on Intelligence and AI Explainability | EP014
Tom and Elliot talk about a Steve Jobs speech and his thoughts on intelligence and whether explainability will save us from stochastic parrots.
⌛Timestamps
00:00:00 - Start
00:06:00 - Topic 1 - Steve Jobs on Intelligence
00:36:24 - Topic 2 - AI explainability
⚡Links
— Steve Jobs - Speech to the Academy of Achievement June 1982 https://www.youtube.com/watch?v=ymbD_a-G1IQ
— Duncker’s Candle Problem https://en.wikipedia.org/wiki/Candle_problem
— Bullet Holes & Biases Abraham Wald https://mcdreeamiemusings.com/blog/2019/4/1/survivorship-bias-how-lessons-from-world-war-two-affect-clinical-research-today
— Nautilus Article https://nautil.us/moving-beyond-mimicry-in-artificial-intelligence-21015/
— Article from Lauren Oakden-Rayner https://laurenoakdenrayner.com/2018/06/05/explain-yourself-machine-producing-simple-text-descriptions-for-ai-interpretability/
— Associated paper https://arxiv.org/abs/1806.00340
— Moonwalking with Einstein https://en.wikipedia.org/wiki/Moonwalking_with_Einstein
— Paper on synthetic MRI data https://link.springer.com/chapter/10.1007/978-3-030-87592-3_1
— Paper on comparing Saliency Methods https://ieeexplore.ieee.org/abstract/document/9647419
— BLEU https://machinelearningmastery.com/calculate-bleu-score-for-text-python/
👋CONTACT Any feedback?
Leave a comment or hit us on Twitter @tom_k_white, @elliot_c_smith
#podcast #tech #ai #startup
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By High Output AITom and Elliot talk about a Steve Jobs speech and his thoughts on intelligence and whether explainability will save us from stochastic parrots.
⌛Timestamps
00:00:00 - Start
00:06:00 - Topic 1 - Steve Jobs on Intelligence
00:36:24 - Topic 2 - AI explainability
⚡Links
— Steve Jobs - Speech to the Academy of Achievement June 1982 https://www.youtube.com/watch?v=ymbD_a-G1IQ
— Duncker’s Candle Problem https://en.wikipedia.org/wiki/Candle_problem
— Bullet Holes & Biases Abraham Wald https://mcdreeamiemusings.com/blog/2019/4/1/survivorship-bias-how-lessons-from-world-war-two-affect-clinical-research-today
— Nautilus Article https://nautil.us/moving-beyond-mimicry-in-artificial-intelligence-21015/
— Article from Lauren Oakden-Rayner https://laurenoakdenrayner.com/2018/06/05/explain-yourself-machine-producing-simple-text-descriptions-for-ai-interpretability/
— Associated paper https://arxiv.org/abs/1806.00340
— Moonwalking with Einstein https://en.wikipedia.org/wiki/Moonwalking_with_Einstein
— Paper on synthetic MRI data https://link.springer.com/chapter/10.1007/978-3-030-87592-3_1
— Paper on comparing Saliency Methods https://ieeexplore.ieee.org/abstract/document/9647419
— BLEU https://machinelearningmastery.com/calculate-bleu-score-for-text-python/
👋CONTACT Any feedback?
Leave a comment or hit us on Twitter @tom_k_white, @elliot_c_smith
#podcast #tech #ai #startup