Facebook using Morgan Freeman's voice for new AI app
Bibliographic record
Abstract
Mark Zuckerberg has enlisted the help of Morgan Freeman and taken a shot at Nickelback while unveiling his new artificial intelligence assistant. Facebook's new artificial intelligence assistant is Academy Award winning actor Morgan Freeman, or at least his voice.Facebook founder and CEO Mark Zuckerberg showed off "Jarvis" with a video on his Facebook page.The interactive assistant takes its name from an AI device seen in the "Iron Man" films.In the videos Zuckerberg uses Jarvis to control lights, the thermostat and even make toast.It also plays music, but when asked by Zuckerberg to play some good songs by the much derided Canadian band, Nickelback,Jarvis takes a cheap shot and replies: "There are no good Nickelback songs."The videos feature his wife Priscilla Chan and their toddler daughter, Max.Zuckerberg calls the videos "a fun summary."
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.010 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".