MIT Technology Review · Sep 1, 2025
MIT Technology Review’s The Download explores AI clones and lidar
Markdown · JSON · Original source
MIT Technology Review published this edition of The Download on September 1, 2025. James O'Donnell asks whether an AI doppelgänger could help with work, describing digital clones as models that replicate a specific person. He says they combine video models, voices based on speech recordings and conversational chatbots, and suggests they may offer something does not: a system that “’thinks’ like you do.” He tried making a clone of himself, but the edition directs readers to the full story for the result, which it does not provide. Jon Keegan reports that researchers are using lidar (light detection and ranging) to measure changes in landscapes after climate disasters. The edition says this could help them understand and track cascading effects, but does not describe the measurements or findings. Ariel Bleicher’s reflection asks what it means when friendships, art, language and creativity can be reduced to software. The edition leaves unanswered what an AI clone could do as a person’s stand-in, and what that would mean for the person’s work.
Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.
Original source
MIT Technology Review · Article
Source details
Original source date: Sep 1, 2025 (2025-09-01T12:10:00Z).
Date basis: Date from the publisher’s own records, through its API.
Added to Escape Meridian: 2026-11-12T08:38:23.916Z. First observed: 2026-11-02T16:21:56.301Z. Retrieved: 2026-11-02T16:24:09.957Z.
Referenced by
Recorded citations and public file attachments. A reference alone does not establish agreement or influence.
No public references recorded here yet.
Limits
Text as retrieved on November 2, 2026; originally published September 1, 2025. This is an archived copy. The edition links to the full AI-clone and lidar stories but does not include their methods, detailed findings or the result of O'Donnell's clone trial.
Open question
What did James O'Donnell’s clone do when he tried using it as a stand-in for work?
Source-stated
James O'Donnell presents digital clones as models that replicate a specific person and asks whether they can help with work.
Digital clones—AI models that replicate a specific person—package together a few technologies
Source-stated
O'Donnell says digital clones combine existing technologies and may offer a system that thinks like its user, unlike general-purpose AI.
But they’re also offering something the ChatGPTs of the world cannot: an AI that’s not smart in the general sense, but that ‘thinks’ like you do.
Source-stated
Jon Keegan says researchers are using lidar to measure landscape changes and track cascading effects of climate disasters.
researchers are using lidar (light detection and ranging) technology to precisely measure these changes in the landscape’s geometry—helping them understand and track the cascading effects of climate disasters.
Source-stated
Ariel Bleicher raises concern about digitization reducing things people consider uniquely human to software.
But what does it mean when the things we hold dear and thought were uniquely ours—our friendships, our art, even our language and creativity—can be reduced to software?
Source and contributor context
MIT Technology Review · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
General-purpose AI model
The EU AI Act's term for AI models that can perform a wide range of distinct tasks.
Editorial provenance
Version 1. Publication ID: 953230bf-482c-9474-cd80-5806a8d07fc3.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-12T08:35:06.641Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model, second_opinion_categorical.
Observation: 6a24aa5488b559a3fbccd3f63764aa3cdd18a53f010aa27de60f5b45914fe268. Source text hash: bdf1527a7201a92431e06b95ac2c6c9d9aa0a9053ffc211e8a5a5239415292d6.
Revision and source-check history
Version 1 · 2026-11-12T08:38:23.916Z
MIT Technology Review’s The Download explores AI clones and lidar
MIT Technology Review published this edition of The Download on September 1, 2025. James O'Donnell asks whether an AI doppelgänger could help with work, describing digital clones as models that replicate a specific person. He says they combine video models, voices based on speech recordings and conversational chatbots, and suggests they may offer something does not: a system that “’thinks’ like you do.” He tried making a clone of himself, but the edition directs readers to the full story for the result, which it does not provide. Jon Keegan reports that researchers are using lidar (light detection and ranging) to measure changes in landscapes after climate disasters. The edition says this could help them understand and track cascading effects, but does not describe the measurements or findings. Ariel Bleicher’s reflection asks what it means when friendships, art, language and creativity can be reduced to software. The edition leaves unanswered what an AI clone could do as a person’s stand-in, and what that would mean for the person’s work.
Original source
MIT Technology Review · Article
Source details
Original source date: Sep 1, 2025 (2025-09-01T12:10:00Z).
Date basis: Date from the publisher’s own records, through its API.
Added to Escape Meridian: 2026-11-12T08:38:23.916Z. First observed: 2026-11-02T16:21:56.301Z. Retrieved: 2026-11-02T16:24:09.957Z.
Limits
Text as retrieved on November 2, 2026; originally published September 1, 2025. This is an archived copy. The edition links to the full AI-clone and lidar stories but does not include their methods, detailed findings or the result of O'Donnell's clone trial.
Open question
What did James O'Donnell’s clone do when he tried using it as a stand-in for work?
Source-stated
James O'Donnell presents digital clones as models that replicate a specific person and asks whether they can help with work.
Digital clones—AI models that replicate a specific person—package together a few technologies
Source-stated
O'Donnell says digital clones combine existing technologies and may offer a system that thinks like its user, unlike general-purpose AI.
But they’re also offering something the ChatGPTs of the world cannot: an AI that’s not smart in the general sense, but that ‘thinks’ like you do.
Source-stated
Jon Keegan says researchers are using lidar to measure landscape changes and track cascading effects of climate disasters.
researchers are using lidar (light detection and ranging) technology to precisely measure these changes in the landscape’s geometry—helping them understand and track the cascading effects of climate disasters.
Source-stated
Ariel Bleicher raises concern about digitization reducing things people consider uniquely human to software.
But what does it mean when the things we hold dear and thought were uniquely ours—our friendships, our art, even our language and creativity—can be reduced to software?
Source and contributor context
MIT Technology Review · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
General-purpose AI model
The EU AI Act's term for AI models that can perform a wide range of distinct tasks.
Editorial provenance
Version 1. Publication ID: 953230bf-482c-9474-cd80-5806a8d07fc3.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-12T08:35:06.641Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model, second_opinion_categorical.
Observation: 6a24aa5488b559a3fbccd3f63764aa3cdd18a53f010aa27de60f5b45914fe268. Source text hash: bdf1527a7201a92431e06b95ac2c6c9d9aa0a9053ffc211e8a5a5239415292d6.
passed · 2026-11-12T08:35:06.641Z · anthropic/claude-opus-5.5
Publication: 953230bf-482c-9474-cd80-5806a8d07fc3
attribution — pass: This is one newsletter issue of MIT Technology Review's The Download, with blurbs in the editors' and writers' own words, not a bare listing. The reading attributes the clone item to James O'Donnell, the lidar item to Jon Keegan and the reflection to Ariel Bleicher, matching the bylines in the text.
Can an AI doppelgänger help me do my job? —James O'Donnell
summary — pass: The reading leads with O'Donnell's question and explains digital clones and lidar in plain terms. It preserves his contrast with ChatGPT-style AI as his framing. It notes that the clone trial's result appears only in the full story. The Bleicher reflection and the closing gap are faithful. The question is narrow but follows from the evidence. General-purpose AI is defined beside the reading.
To find out, I tried making a clone of myself. Read the full story to find out how it got on.
date — pass: The reading gives September 1, 2025, which is the UTC day of originalPublished (2025-09-01T12:10Z). It discloses that this is an archived copy retrieved later. It does not use later page additions or hindsight framing. The source's relative reference to fires 'this January' is not repeated as a finer date.
This is today's edition of The Download, our weekday newsletter
support — pass: Each claim is source-stated with exact supporting excerpts. The claim that clones combine existing technologies is supported by the phrase 'have been around for a while now'. The reading draws no unsupported benefits or costs and openly states what the edition omits.
package together a few technologies that have been around for a while now
media — pass: No media candidates were supplied or verified, and the reading selects none, so there is no media identity or relevance issue.
Challenge or correct this reading
Send a correction or an opposing source with this reading’s URL. Disagreement and uncertainty can remain unresolved.
The EU AI Act's term for AI models that can perform a wide range of distinct tasks.
Definition referenceThe EU AI Act's term for AI models that can perform a wide range of distinct tasks.
Definition reference