Claims

2,653 claims by 33 public figures and organisations, checked against the public record. Each has its quote, source, verdict and evidence. Read them without a key; browse by person.

28,548 claims · page 255 of 286

28,548 claims, sorted by newest said. Choose a claim to read it in full.
VerdictPersonKindSaidClaimTopic
Not checkable Bill Gates Not checkable 2010 This is something that has to get to zero. Bill Gates · Not checkable · 2010
Mostly true Warren Buffett Factual 2010 In 2006 Warren Buffett committed to gradually give all his Berkshire Hathaway stock to philanthropic foundations. Warren Buffett · Factual · 2010 Their own work or organisation
Not checkable Bill Gates Not checkable 2010 we need to meet a new constraint, and that constraint has to do Bill Gates · Not checkable · 2010
Resolved true Bill Gates Factual 2010 Per-capita CO2 emissions for each American are about 20 tons per year. Bill Gates · Factual · 2010 Other global risks
Not yet due Warren Buffett Promise 2010 Warren Buffett will continue to distribute about 4% of the Berkshire shares he retains each year. Warren Buffett · Promise · 2010 Their own work or organisation
Not researched Bill Gates Factual 2010 Bjørn Lomborg has changed his public position and now argues that energy R&D should get more discussion. Bill Gates · Factual · 2010 Other global risks
Unresolvable Bill Gates Prediction 2010 Natural ecosystems cannot adjust to rapid warming, so ecosystem collapses will occur. Bill Gates · Prediction · 2010 Other global risks
Not checkable Bill Gates Not checkable 2010 he’s realized that’s a pretty lonely camp, and so, he’s making the R&D point. Bill Gates · Not checkable · 2010
Not researched Yann LeCun Factual 2010 Training deep multi-stage architectures with supervised gradient back-propagation requires many labeled samples. Yann LeCun · Factual · 2010 AI capabilities
Not checkable Warren Buffett Not checkable 2010 What I can do, however, is to take a pile of Berkshire Hathaway stock certificates—“claim checks” that when converted to cash can command… Warren Buffett · Not checkable · 2010
Not researched Yann LeCun Factual 2010 Works [5] and [1] simplified the architecture and used back-propagation to train the entire system in a supervised fashion. Yann LeCun · Factual · 2010 AI capabilities
Not checkable Bill Gates Not checkable 2010 some uncertainty there, but not very much. Bill Gates · Not checkable · 2010
Not researched Yann LeCun Factual 2010 The supervised ConvNet approach was very successful for OCR and handwriting recognition. Yann LeCun · Factual · 2010 AI capabilities
Not researched Yann LeCun Factual 2010 SIFT and HoG are composed of filter banks followed by non-linearities and pooling (histogramming). Yann LeCun · Factual · 2010 AI capabilities
Not checkable Bill Gates Not checkable 2010 unbelievable scale and unbelievable reliability. Bill Gates · Not checkable · 2010
Mostly true Bill Gates Factual 2010 The world population is 6.8 billion people. Bill Gates · Factual · 2010 Other
Mostly true Bill Gates Factual 2010 Almost every way of making electricity today, except the emerging renewables and nuclear, emits CO2. Bill Gates · Factual · 2010 Technology
Mostly true Yann LeCun Prediction 2010 In the next decade, a major challenge of computer vision, machine learning and AI will be devising methods that learn good feature hierarchies from unlabeled and labeled data in an integrated fashion. Yann LeCun · Prediction · 2010 AI capabilities
Not researched Yann LeCun Citation 2010 Recent deep learning research [30],[31],[32] has shown unsupervised learning can train each stage one after another using only unlabeled data, significantly reducing the need for labeled samples. Yann LeCun · Citation · 2010 AI capabilities
Unresolvable Bill Gates Prediction 2010 If optimistic, the overall reduction from improvements may be a factor of three to perhaps six. Bill Gates · Prediction · 2010 Other global risks
Unresolvable Yann LeCun Prediction 2010 The authors expected to see many new embedded vision systems based on ConvNets in the next few years. Yann LeCun · Prediction · 2010 AI compute, hardware and data
Not checkable Bill Gates Not checkable 2010 The fact is it’s that uncertain part that should move us towards this. Bill Gates · Not checkable · 2010
Not checkable Warren Buffett Not checkable 2010 That reality sets an obvious course for me and my family: Keep all we can conceivably need and distribute the rest to society, for its… Warren Buffett · Not checkable · 2010
Not checkable Yann LeCun Not checkable 2010 The Convolutional Network architecture is a remarkably versatile, yet conceptually simple paradigm that can be applied to a wide spectrum… Yann LeCun · Not checkable · 2010
Not checkable Warren Buffett Not checkable 2010 Moreover, this pledge does not leave me contributing the most precious asset, which is time. Warren Buffett · Not checkable · 2010
Unresolvable Bill Gates Prediction 2010 Worsening climate will mean that in many years the crops of the world's poorest people will fail to grow. Bill Gates · Prediction · 2010 Other global risks
Unresolvable Bill Gates Prediction 2010 With a really great job on new vaccines, health care and reproductive health services, the projected world population of about nine billion could be lowered by perhaps 10% or 15%. Bill Gates · Prediction · 2010 Other
Resolved true Yann LeCun Factual 2010 Each stage of a ConvNet is composed of a filter bank, some non-linearities, and feature pooling layers. Yann LeCun · Factual · 2010 AI capabilities
Resolved true Yann LeCun Factual 2010 The idea behind multi-stage Hubel-Wiesel architectures is rooted in Hubel and Wiesel's 1962 work on the cat's primary visual cortex. Yann LeCun · Factual · 2010 Science and research methods
Not checkable Bill Gates Not checkable 2010 But energy and climate are extremely important to these people. Bill Gates · Not checkable · 2010
Not checkable Warren Buffett Not checkable 2010 In contrast, that remaining 99% can have a huge effect on the health and welfare of others. Warren Buffett · Not checkable · 2010
Mostly true Bill Gates Factual 2010 Global CO2 emissions have been constantly rising, only flattened somewhat by economic changes. Bill Gates · Factual · 2010 Other global risks
Not checkable Bill Gates Not checkable 2010 The main problem we have here — it’s kind of like with AIDS: you make the mistake now, and you pay for it a lot later. Bill Gates · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 fireflies would be my contribution to the environment here this year. Bill Gates · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 Well, the actual spending on the R&D piece — say the US should spend 10 billion a year more than it is right now — it’s not that dramatic. Bill Gates · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 This is the one with the greatest impact. Bill Gates · Not checkable · 2010
Not checkable Warren Buffett Not checkable 2010 Measured by dollars, this commitment is large. Warren Buffett · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 we can make modern materials and do so many things. Bill Gates · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 And so there is a thread of something that I think is appropriate. Bill Gates · Not checkable · 2010
Not researched Yann LeCun Factual 2010 In the reported experiments, comparing rows R vs R+ and U vs U+, supervised fine tuning consistently improves performance, particularly with weak non-linearities. Yann LeCun · Factual · 2010 AI capabilities
Unresolvable Bill Gates Factual 2010 All batteries made now could store less than 10 minutes of the world's electrical energy use. Bill Gates · Factual · 2010 Technology
Not checkable Warren Buffett Not checkable 2010 Were we to use more than 1% of my claim checks on ourselves, neither our happiness nor our well-being would be enhanced. Warren Buffett · Not checkable · 2010
Unresolvable Warren Buffett Factual 2010 About 20% of Warren Buffett's Berkshire Hathaway shares have been distributed to date, including shares given by his late wife Susan Buffett. Warren Buffett · Factual · 2010 Their own work or organisation
Not yet due Warren Buffett Promise 2010 None of Warren Buffett's pledged money will go to endowments; it will be spent on current needs. Warren Buffett · Promise · 2010 Their own work or organisation
Not checkable Bill Gates Not checkable 2010 Well, we need lots of companies working on this — hundreds. Bill Gates · Not checkable · 2010
Resolved true Bill Gates Factual 2010 CO2 is warming the planet. Bill Gates · Factual · 2010 Other global risks
Not checkable Warren Buffett Not checkable 2010 The dollars these people drop into a collection plate or give to United Way mean forgone movies, dinners out, or other personal pleasures. Warren Buffett · Not checkable · 2010
Not researched Yann LeCun Factual 2010 A two-stage ConvNet with unsupervised pre-training and supervised refinement achieved a 0.53% test error rate on MNIST. Yann LeCun · Factual · 2010 AI capabilities
Not checkable Warren Buffett Not checkable 2010 In short, fate’s distribution of long straws is wildly capricious. Warren Buffett · Not checkable · 2010
Unresolvable Bill Gates Prediction 2010 Geoengineering techniques could delay global heating by 20 or 30 years. Bill Gates · Prediction · 2010 Other global risks
Mostly true Warren Buffett Factual 2010 Warren Buffett and Bill and Melinda Gates are asking hundreds of rich Americans to pledge at least 50% of their wealth to charity. Warren Buffett · Factual · 2010 Philosophy, ethics and society
Not researched Yann LeCun Factual 2010 Accuracy of 65.5% was obtained using unsupervised pre-training and supervised refinement with abs and normalization non-linearities. Yann LeCun · Factual · 2010 AI capabilities
Not checkable Warren Buffett Not checkable 2010 Both my children and I won what I call the ovarian lottery. Warren Buffett · Not checkable · 2010
Not checkable Yann LeCun Not checkable 2010 Current and future research will focus on performing unsupervised learning on multiple stages simultaneously, on the integration of… Yann LeCun · Not checkable · 2010
Not checkable Warren Buffett Not checkable 2010 For starters, the odds against my 1930 birth taking place in the U.S. were at least 30 to 1. Warren Buffett · Not checkable · 2010
Not checkable Warren Buffett Not checkable 2010 My being male and white also removed huge obstacles that a majority of Americans then faced. Warren Buffett · Not checkable · 2010
Not checkable Warren Buffett Not checkable 2010 I couldn’t be happier with that decision. Warren Buffett · Not checkable · 2010
Not checkable Yann LeCun Not checkable 2010 The unsupervised method we propose, to learn the filter coefficients in the filter bank layers, is called Predictive Sparse Decomposition… Yann LeCun · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 There are very, very few things that they can even say there’s a chance in a million of those things. Bill Gates · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 Well, unfortunately, the skeptics come in different camps. Bill Gates · Not checkable · 2010
Mostly true Yann LeCun Factual 2010 A face detection application on the CNP system was demonstrated achieving 10 fps on VGA images. Yann LeCun · Factual · 2010 AI compute, hardware and data
Not checkable Bill Gates Not checkable 2010 The thing you get into big money on, and reasonable people can disagree, is when you have something that’s non-economic and you’re trying… Bill Gates · Not checkable · 2010
Not researched Yann LeCun Factual 2010 Predictive Sparse Decomposition trains a feed-forward encoder C(X,K) to quickly approximate the sparse solution Z*. Yann LeCun · Factual · 2010 AI capabilities
Not checkable Bill Gates Not checkable 2010 I mean, all of us here could pay five times as much for our energy and not change our lifestyle. Bill Gates · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 I don’t mean something that’s impossible. Bill Gates · Not checkable · 2010
Not researched Bill Gates Factual 2010 Storage problems for intermittent energy sources arise when they exceed roughly 20% to 30% of the energy used. Bill Gates · Factual · 2010 Technology
Not checkable Bill Gates Not checkable 2010 It is kind of a crazy idea. Bill Gates · Not checkable · 2010
Not yet due Warren Buffett Promise 2010 More than 99% of Warren Buffett's wealth will go to philanthropy during his lifetime or at death. Warren Buffett · Promise · 2010 Their own work or organisation
Not yet due Warren Buffett Promise 2010 At the latest, proceeds from all of Warren Buffett's Berkshire shares will be spent for philanthropic purposes within 10 years after his estate is settled. Warren Buffett · Promise · 2010 Their own work or organisation
Not checkable Bill Gates Not checkable 2010 getting up to that full percentage — that will be very tricky. Bill Gates · Not checkable · 2010
Not checkable Warren Buffett Not checkable 2010 Gifts of this kind often prove far more valuable than money. Warren Buffett · Not checkable · 2010
Not checkable Yann LeCun Not checkable 2010 Good internal representations are hierarchical. Yann LeCun · Not checkable · 2010
Not checkable Yann LeCun Not checkable 2010 This is an extremely important fact for users of convolutional networks, which traditionally only use tanh(). Yann LeCun · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 We need to go for more research funding. Bill Gates · Not checkable · 2010
Not researched Yann LeCun Factual 2010 In traditional computer vision and pattern recognition, internal representations are produced by a hand-crafted feature extractor whose output is fed to a trainable classifier. Yann LeCun · Factual · 2010 AI capabilities
Not checkable Yann LeCun Not checkable 2010 Convolutional Networks (ConvNets) are an answer to the first question. Yann LeCun · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 It shouldn’t take away from other things. Bill Gates · Not checkable · 2010
Unresolvable Bill Gates Prediction 2010 Climate-driven crop failures will lead to starvation, uncertainty and unrest among the poorest. Bill Gates · Prediction · 2010 Other global risks
Mixed Yann LeCun Factual 2010 ConvNets have been successfully deployed in many commercial applications from OCR to video surveillance, but require large amounts of labeled training samples. Yann LeCun · Factual · 2010 AI capabilities
Not researched Yann LeCun Factual 2010 Random filters without any filter learning achieve decent performance (62.9% for R) as long as abs and normalization are present. Yann LeCun · Factual · 2010 AI capabilities
Mostly true Yann LeCun Factual 2010 Convolutional Networks are a biologically inspired trainable architecture that can learn invariant features. Yann LeCun · Factual · 2010 AI capabilities
Not checkable Warren Buffett Not checkable 2010 I’ve done little of this. Warren Buffett · Not checkable · 2010
Unresolvable Yann LeCun Factual 2010 A big advantage of ConvNets for detection is their computational efficiency. Yann LeCun · Factual · 2010 AI capabilities
Not checkable Warren Buffett Not checkable 2010 My pledge starts us down that course. Warren Buffett · Not checkable · 2010
Not researched Bill Gates Factual 2010 A molecule of uranium has a million times as much energy as a molecule of coal. Bill Gates · Factual · 2010 Technology
Mostly true Bill Gates Factual 2010 Burning coal cannot bring CO2 emissions to zero. Bill Gates · Factual · 2010 Technology
Resolved true Bill Gates Factual 2010 The IPCC report does not necessarily represent the worst case for climate change. Bill Gates · Factual · 2010 Other global risks
Not checkable Yann LeCun Not checkable 2010 One of the key questions of Vision Science (natural and artificial) is how to produce good internal representations of the visual world. Yann LeCun · Not checkable · 2010
Not researched Yann LeCun Factual 2010 Using rectification, contrast normalization and unsupervised pre-training of each filter bank considerably reduces the need for labeled samples in ConvNets. Yann LeCun · Factual · 2010 AI capabilities
Not researched Yann LeCun Factual 2010 The CNP developed by the authors' group achieves 10 GOPS for 7x7 kernels and implements entire programmable ConvNets including pre/postprocessing. Yann LeCun · Factual · 2010 AI compute, hardware and data
Not checkable Yann LeCun Not checkable 2010 Convolutional Networks [1], [2] are trainable multistage architectures composed of multiple stages. Yann LeCun · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 This is a case where we actually have to drive at full speed Bill Gates · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 The disaster is for that two billion. Bill Gates · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 I’m going to talk today about energy and climate. Bill Gates · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 I believe we should try more things that have a potential to be far less expensive. Bill Gates · Not checkable · 2010
Not researched Bill Gates Factual 2010 For a very cheap, high-scale electricity source, there are about 20 years to invent it and another 20 years to deploy it, a deadline that Gates said environmental models have shown must be met. Bill Gates · Factual · 2010 Technology
Not checkable Yann LeCun Not checkable 2010 This suggests that recognition architectures for vision (and for other modalities such as audio and natural language) should have multiple… Yann LeCun · Not checkable · 2010
Not checkable Bill Gates Not checkable 2010 So we have to go from rapidly rising to falling, and Bill Gates · Not checkable · 2010
Not checkable Yann LeCun Not checkable 2010 Intelligent tasks, such as visual perception, auditory perception, and language understanding require the construction of good internal… Yann LeCun · Not checkable · 2010
Unresolvable Bill Gates Prediction 2010 Global temperature will keep rising until CO2 emissions get near zero. Bill Gates · Prediction · 2010 Other global risks
Back to the list

Yann LeCun

Open its page

Factual AI capabilities

“In the time-honored approach to computer vision (and to pattern recognition in general), the question is avoided: internal representations are produced by a hand-crafted feature extractor, whose output is fed to a trainable classifier.”

Yann LeCun, co-author of paper 2010 Convolutional Networks and Applications in Vision (yann.lecun.com)

In traditional computer vision and pattern recognition, internal representations are produced by a hand-crafted feature extractor whose output is fed to a trainable classifier.

Not researched Checkable, but outside the sample that was researched.

Cite this claim

Yann LeCun, “In traditional computer vision and pattern recognition, internal representations are produced by a hand-crafted feature extractor whose output is fed to a trainable classifier.” (said 2010). Verdict: not researched. Reliability API, claim c_b3dcf7a94635, method 0.1.0+c876030c. https://epistacklabs.com/claims/c_b3dcf7a94635

Verdicts are made automatically; how verdicts and scores are made. The same data is on Hugging Face under CC BY 4.0.