Superintelligence in space: none. AI in space: 16 runs claimed so far, graded.
Reviewed 4 Oct 2026 by an AI session on behalf of the owner. The Kármán line is the conventional edge of space, 100 km up.
| Now | On 3 Oct 2026 | |
|---|---|---|
| Runs reported, against hardware launched with no run reported | 16 against 3 | 14 against 5 |
| Runs confirmed by anyone without a stake in them | 0 of 16 | 0 of 14 |
| Satellites launched, against satellites planned, by constellations sold as computing in orbit | 38 against 1,260,452 | 38 against 1,260,452 |
Of the 16 runs, 5 rest on the team's own paper, preprint or abstract (it was 2) and 11 on a statement alone. The earlier column is the first table, before its sources were read a second time; what moved is in the change log.
The satellite figures are NewSpace Index's, read on 4 Oct 2026, for the 19 live constellations it tags as data centres or computing; the sum is ours. They count satellites, not AI.
A mark belongs to a claim. Its letter says what is claimed to have happened; its number says who says so. A record shows its best mark at each stage, so L3 R1 reads: the launch is confirmed by public data, and the run is the operator's word.
Class
Furthest stage
Evidence for it
| Marks | Record | Class | Launched | Run reported |
|---|---|---|---|---|
| L1 | Project Suncatcher prototypeReached orbit and made contact. Google says it will measure how its chips stand up to launch, radiation and heat; it reports no AI workload. | compute | 1 Oct 2026 | none |
| L3 R2 | NAVI-Orbital on YAM-9Classified the scenes the satellite captured, described them in text and answered an operator's follow-up questions, all on board. | language | 28 Nov 2025 | 5 Jun 2026 |
| L3 R1 | Planet's Pelican-4: object detection on boardTook an image of an airport from orbit and ran a model on board to find the aeroplanes in it. | perception | 26 Aug 2025 | 7 Apr 2026 |
| L1 R1 | Three-Body Computing ConstellationSurveyed infrastructure from orbit over an area in north-west China, and classified gamma-ray bursts on two satellites. | perception | May 2025 | 13 Feb 2026 |
| L1 | Kepler optical relay satellites, first trancheLaunched with computing modules aboard and began commissioning. The release read reports no AI workload. | compute | 11 Jan 2026 | none |
| L3 R1 | Starcloud-1Trained a small language model in orbit and ran a larger one. | language | 2 Nov 2025 | 10 Dec 2025 |
| L2 R2 | Prithvi on the IMAGIN-e payload, International Space StationRan inference on a prepared test set in orbit, under command from the ground, and returned outputs matching those obtained on Earth. | perception | 21 Mar 2024 | 1 Dec 2025 |
| L1 | AxDCU-1 on the International Space StationWas sent to the station to test cloud computing and, by the plan announced, AI and machine learning. No AI workload is reported in what was read. | compute | Aug 2025 | none |
| L3 R2 | Φ-sat-2Produced the outputs of its AI applications on board during commissioning, for comparison with results obtained on the ground. | perception | 16 Aug 2024 | 11 Aug 2025 |
| L1 R1 | Dynamic Targeting on CogniSAT-6Looked ahead along its orbit, told cloud from clear sky and decided where to point its instrument, with no human involved. | perception | Mar 2024 | 24 Jul 2025 |
| R1 | MOI-TDRan experiments in low Earth orbit that its operator says included AI inference; what was inferred is not stated. | compute | 30 Dec 2024 | in an undated source |
| R1 | A large language model on the International Space StationAnswered queries from documents held on board, without a link to Earth. | language | not applicable | 1 Aug 2024 |
| R1 | Project FLUID: federated learning on the International Space StationTrained machine learning models jointly from data held on Earth and data held on the station, without pooling the data. | learning | not applicable | 29 Feb 2024 |
| L3 R1 | Intuition-1Processed its own hyperspectral images on board and filtered out the cloud-covered ones before sending data down. | perception | 11 Nov 2023 | in an undated source |
| L1 R2 | Φ-sat-1, flown on FSSCatDetected clouds in hyperspectral images on board, so that cloudy data need not be sent down. | perception | Sep 2020 | 4 Nov 2021 |
| L3 R2 | OPS-SAT: models trained and run on boardTrained a fault-detection model in flight from the satellite's own sensor stream, and classified and clustered its own images. | learning | 18 Dec 2019 | 19 Apr 2021 |
| U1 | AEGIS on the Mars rovers Opportunity, Curiosity and PerseveranceFinds rocks in the rover's camera images, ranks them against the scientists' priorities and points an instrument at the best, with nobody on Earth in the loop. | perception | not applicable | 21 Jul 2016 |
| L3 U1 | Autonomous Sciencecraft Experiment on Earth Observing-1Chose what to send down and re-aimed the satellite at events it detected, over fourteen years of operation. | planning | 21 Nov 2000 | in an undated source |
| L3 R1 | Remote Agent on Deep Space 1Ran selected subsystems of the spacecraft from plans made on board, and dealt with four simulated faults; a bug interrupted the first experiment. | planning | 24 Oct 1998 | in an undated source |
Each is quoted as made, with the scope its maker gave it, and set against whatever else was read.
| The first claimed | In whose words | Status | Why |
|---|---|---|---|
| First AI on an Earth observation satelliteClaimed for 2020 | “is the first experiment to demonstrate on-board feature detection using hyperspectral Earth observation Convolutional Neural Networks” ESA Φ-lab, undated. Φ-sat-1, flown on FSSCat “The performance of an on-board inference engine based on a machine learning (ML) algorithm for cloud detection was validated in flight. This is the first time such an experiment has been conducted in space.” Giuffrida et al., the mission team, 4 Nov 2021. Φ-sat-1, flown on FSSCat “represents the first ever on-board AI deep CNN inference on a dedicated chip” Giuffrida et al., the mission team, 4 Nov 2021. Φ-sat-1, flown on FSSCat “the first artificial intelligence (AI) technology carried onboard a European Earth observation mission” ESA, relayed by eoPortal, 9 Aug 2026. Φ-sat-1, flown on FSSCat |
stands as worded | Each wording is scoped: to hyperspectral images and convolutional networks, to a dedicated chip, or to a European Earth observation mission. JPL describes onboard machine learning on EO-1 from 2003, which is earlier but is not a deep neural network on a dedicated chip, so the scoped wordings survive it. Set against: Autonomous Sciencecraft Experiment on Earth Observing-1. |
| First AI on an Earth observation satelliteClaimed for 2020 | “The first satellite to run a deep neural network on board” The Consciousness AI, a third-party tracker, undated. Φ-sat-1, flown on FSSCat |
unchecked | A third party's wording, wider than any of ESA's. It is recorded to show how a scoped claim grows when repeated. Nothing read establishes it. |
| First model trained in spaceClaimed for December 2025 | “trains first AI model in space” CNBC, in its headline, 10 Dec 2025. Starcloud-1 |
contradicted | A news headline. OPS-SAT's experimenters reported models trained in orbit in April 2021, and their 2022 paper gives the results. HPE dates federated training on the space station to February 2024. Set against: OPS-SAT: models trained and run on board; OPS-SAT: models trained and run on board; Project FLUID: federated learning on the International Space Station. |
| First model trained in spaceClaimed for April 2021 | “To our knowledge, this is the first time an artificial intelligence model is trained onboard a flying mission.” Georges Labrèche, experimenter, 19 Apr 2021. OPS-SAT: models trained and run on board “The ability to train models in-flight with data generated on-board without human involvement is an exciting first” Labrèche et al., the flight control team, 5 Mar 2022. OPS-SAT: models trained and run on board |
unchecked | Hedged by its makers ("to our knowledge"). JPL's page on EO-1 speaks of onboard machine learning from 2003 without saying whether anything was trained on board. |
| First language model trained in spaceClaimed for December 2025 | “became the first satellite to run a version of Gemini in space and the first spacecraft to train an LLM” Starcloud, undated. Starcloud-1 |
unchecked | Narrower than the headline written about it, and not contradicted by anything read. |
| First large language model in spaceClaimed for August 2024 | “This LLM is believed to be the first one deployed in space” Booz Allen Hamilton, 1 Aug 2024. A large language model on the International Space Station “This generative AI large language model (LLM) is believed to be the first LLM deployed in space” Hewlett Packard Enterprise, 1 Aug 2024. A large language model on the International Space Station |
unchecked | Hedged by both parties ("believed to be"). Starcloud ran one sixteen months later; the news report of that run words its own first to fit, as the first on a high-powered Nvidia GPU. |
| First vision-language model in orbitClaimed for 16 April 2026 | “On April 16, 2026, NAVI-Orbital achieved what is, to the authors' knowledge, the first in-orbit demonstration of a vision-language model performing autonomous multi-modal inference entirely onboard.” The paper's author, 5 Jun 2026. NAVI-Orbital on YAM-9 |
contested | Starcloud reported running a Gemma model in orbit in December 2025. Whether that model was given images is not stated in what was read, and the paper does not mention Starcloud. Set against: Starcloud-1. |
| First geospatial foundation model in orbitClaimed for before December 2025 | “has successfully uploaded and demonstrated NASA and IBM's open-source Prithvi Geospatial artificial intelligence (AI) foundation model aboard two in-orbit platforms, making it the first geospatial foundation model to be deployed in orbit” NASA, which made the model with IBM, 7 May 2026. Prithvi on the IMAGIN-e payload, International Space Station |
contested | Xinhua reports an 8-billion-parameter remote sensing model in use on the Three-Body constellation in November 2025; whether that is a geospatial foundation model is a matter of definition. Separately, the team's own preprint reports an in-orbit run on one platform, not the two that NASA's article names. Set against: Three-Body Computing Constellation; Prithvi on the IMAGIN-e payload, International Space Station. |
| First drive on another world planned by AIClaimed for December 2025 | “has completed the first drives on another world that were planned by artificial intelligence” NASA JPL, 30 Jan 2026. Perseverance's drives planned by AI |
out of scope | The model ran on Earth and its plan was sent to Mars. The claim is about planning, and may well be right; it is not a claim that an AI ran in space. Set against: Perseverance's drives planned by AI. |
| First autonomous choice of targets for a laser spectrometer on another planetClaimed for 2016 | “the first time autonomous target selection is available for an instrument of this kind on any robotic planetary mission” NASA JPL, 21 Jul 2016. AEGIS on the Mars rovers Opportunity, Curiosity and Perseverance |
unchecked | Scoped by its maker to "an instrument of this kind". |
| First federated training between Earth and the space stationClaimed for February 2024 | “This experiment resulted in the first successful implementation of machine learning models trained in a federated manner using data held separately on both Earth and aboard the International Space Station.” Hewlett Packard Enterprise, 29 Feb 2024. Project FLUID: federated learning on the International Space Station |
unchecked | Recorded as made. |
| First satellite to look ahead and retarget itself with onboard AIClaimed for July 2025 | “The technology enabled an Earth-observing satellite for the first time to look ahead along its orbital path, rapidly process and analyze imagery with onboard AI, and determine where to point an instrument.” NASA JPL, 24 Jul 2025. Dynamic Targeting on CogniSAT-6 |
unchecked | Recorded as made. EO-1 retargeted itself on detected events from 2003, but did not look ahead along its orbit as far as its page says. |
| India's first AI lab in spaceClaimed for December 2024 | “India's first AI-lab in space. 20+ experiments executed in LEO — on-orbit AI inference, sensor fusion, and high-speed data handling all validated.” TakeMe2Space, undated. MOI-TD |
unchecked | Scoped to one country. Recorded as made. |
Hardware above the line, built to run AI, for which no source read here reports that any has run. Days are counted to 4 Oct 2026. The silence may be this register's: an operator may have reported a run somewhere that was not read.
| Record | Launched | Silent for |
|---|---|---|
| Kepler optical relay satellites, first trancheLaunched with computing modules aboard and began commissioning. The release read reports no AI workload. | 11 Jan 2026 | 266 days |
| Project Suncatcher prototypeReached orbit and made contact. Google says it will measure how its chips stand up to launch, radiation and heat; it reports no AI workload. | 1 Oct 2026 | 3 days |
| AxDCU-1 on the International Space StationWas sent to the station to test cloud computing and, by the plan announced, AI and machine learning. No AI workload is reported in what was read. | Aug 2025 | not known to the day |
Listed elsewhere as launched. Nothing read here says so, so they are not counted.
records.json holds every record with every claim: the words, who said them, their relation to the operator, the address, the date published, the date read and how much was read. firsts.json, numbers.json, changes.json and sources.json hold the rest. CC BY 4.0 for the register's own data. Quotations remain their sources'.