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Michael Bronstein
18 quotes
“I think there is some broadness to the definition of what counts as a foundation model, and more generally, artificial intelligence.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“François Chollet posits that intelligence is not about how well a specialized model performs, but how good it is in learning new things, or in other words,”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“How well it can generalize across tasks.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“In this sense we are probably still far away from general intelligence and this is one of the reasons why I personally don’t like the term artificial intelligence.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“We don’t really understand and agree on what intelligence is.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“In large language models such as ChatGPT, the key to their success was the scale, being able to create very large models that can be trained on huge amounts of data.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“We don’t yet have anything of comparable scale in biology, and probably the main limitation is the amount of data we have.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“It is very expensive to obtain experimental data.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“It will be possible to overcome the lack of experimental data with simulation and it’s an interesting question how to combine simulated data.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“The range and diversity of problems in biology is significantly bigger than in language.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“It could be that in some applications we don’t necessarily need the kind of scale we find in ChatGPT.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“Biotech and pharma companies try to do it and successfully in many cases.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“One example is Recursion that scaled-up cell-painting technologies, allowing to image hundreds of millions of cells and see what happens to the cells. *When you perturb them either chemically or genetically.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“What I would like to do is to take a step back and look at the next generation of data sources where the consumer of the data will not be a human but a machine.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“If we say that the data does not necessarily need to be viewed by human scientists, we can come up with completely new experimental data sources.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“I am honoured and delighted to join Oxford, which has unparalleled expertise in AI and related fields and amazing students.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“I am looking forward to forging new collaborations and synergies within the Department and beyond that would allow us to develop the next generation.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source
“Learning methods that solve real-world problems and at the same time have the trust of domain experts and the broader public.”
Michael Bronstein (born 1980) wikiquote, CC BY-SA 4.0 source