Avi Loeb accused NASA of overlooking key anomalies in interstellar object 3I/ATLAS during a live broadcast, reigniting debate over whether the visitor is truly a comet.

The Harvard astrophysicist seems unimpressed with the revelations made by NASA, as he wanted the space agency to answer more questions.

NASA's recent press conference on interstellar object 3I/ATLAS has sparked debate, with astrophysicist Avi Loeb questioning the agency's findings. Loeb suggests NASA may be downplaying anomalies, including the object's unusual mass and trajectory and the presence of powerful jets observed by amateur astronomers.

Our camera was not designed to image interstellar objects 19 million miles away, but their hard work and planning paid off. pic.twitter.com/XPcU7QU73N — HiRISE: Beautiful Mars (@HiRISE) November 19, 2025 Mientras el cometa interestelar 3I/ATLAS pasa velozmente por nuestro sistema solar,

NASA on Wednesday released new images of 3I/ATLAS that agency officials say proves the interstellar object is a comet, albeit an unusual one. But Harvard astrophysicist Avi Loeb says Earthlings won’t definitively know until Dec.

Interstellar comet 3I/ATLAS is losing an insane amount of mass after making its closest pass of the sun last month — a phenomenon known as perihelion — prompting Harvard scientist Avi Loeb to speculate that the object might have fragmented into over a dozen pieces.

Harvard astronomer Avi Loeb is still not giving up hope that 3I/ATLAS could be an alien mothership and says it's too early to call it.

NASA’s newly released images of comet 3I/ATLAS, in the solar system since July, sparked backlash online as many criticized the blurry, low-quality photos.

Avi Loeb says 3I/Atlas is gaining speed as new images show unusual tail changes. We unpack the data, comet physics, and whether it poses any risk.

The controversial scientist has once again spoken out about his desire to find little green men aboard 3I/ATLAS.

The Harvard astrophysicist urges the research community to include technological artifacts in the training data set