Gary Marcus
where else to find them
no profile links on file
what they talk about
all 5 in the filters
where they keep going back
- Collision2 editions2017–2018
all 5 in the filters
on a stage with
- Andrew McAfeeonce
- Marietje Schaakeonce
- Matthew Bishoponce
all 4 in the filters
who talks about the same things
- Jeff Dean7 talks
- Luc Julia5 talks
- Rana Gujral4 talks
- Igor Markov4 talks
- Tarry Singh7 talks
- Andreas Buhlmeier5 talks
| title | conference | date |
|---|---|---|
| How to Save Democracy from Tech | DLD Munich 25 | 2025-01-16 |
Tech oligarchs sit beside incoming power and already steer policy, with satellites and undersea cables privatized and campaign money shaping contracts and… | ||
| Humans vs. Machines | DLD Munich 24 | 2024-01-11 |
Generative systems like GPT‑4, MidJourney and DALL·E produce repeated failures: frequently confident, never in doubt factual hallucinations (wrong arithmetic… | ||
| AI: The current state of play | Collision 2018 | 2018-04-30 |
Press releases claim machines read like humans but the cited result is 82.6 vs 82.3 on Amazon Turk tasks, not human experts; deep learning excels at image… | ||
| Artificial General Intelligence: Why aren't we there yet? | Collision 2017 | 2017-05-02 |
Argues that modern AI, dominated by convolutional networks and deep learning, excels at narrow perception but fails on common-sense reasoning and safety. Gives… | ||
| The future of the worker | Web Summit 2016 | 2016-11-07 |
The panel includes Andrew McAfee, Principal Research Scientist at MIT, Gary Marcus, CEO of Geometric Intelligence, and Tom Dotan, Reporter for The… | ||
| From big data to human-level artificial intelligence | Strata + Hadoop World 2016 - New York, New York | 2016-09-27 |
Argues that cheap parallel computation and massive datasets plus advances in deep learning still fall short of human-level cognition, claiming current systems… | ||
| nothing matches | ||