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Satellite Manufacturing Market - Forecast(2024 - 2030)
Satellite Manufacturing Market Overview
The Global Satellite Manufacturing Market is estimated to reach $24.0 billion by 2026, growing at a CAGR of 3.2% during 2021-2026. Satellite are launched into the space to provide various services such as telemetry, remote sensing satellite, automatic identification system, surveillance, communication and others. Major drivers for satellite manufacturing market growth are surge in utilization of satellites for military surveillance and other defense applications. There is a requirement of more data bandwidth and reliable communication infrastructure to the military for meeting the growing demand from UAVs and modern equipment. Surge in satellite based telemetry and geostationary applications, development of all-electric propulsion systems for use in sun-synchronous orbit satellites along with the growth in R&D space activities are driving the growth of the market.
Report Coverage
The report: “Satellite Manufacturing Market – Forecast (2021-2026)”, by Industry ARC covers an in-depth analysis of the following segments of the Satellite Manufacturing Market.
By Type– Communication Satellite, Remote Sensing Satellite, Navigation Satellite, Geocentric Orbit type satellites, Global Positioning System, Geostationary Satellites, Drone Satellite, Ground Satellite, Polar Satellite, Nano Satellites, CubeSats, SmallSats
By Size– Large, Medium, Mini, Micro, Nano, Pico, Femto
By Orbit Location– LEO Satellites, Sun-Synchronous Orbit Satellites, GEO Satellites
By Application- Military & Government, Commercial
By Geography - North America (U.S, Canada, Mexico), South America(Brazil, Argentina and others), Europe(Germany, UK, France, Italy, Spain, Russia and Others), APAC(China, Japan India, SK, Australia and Others), and RoW (Middle east and Africa)
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Key Takeaways
The rise in adoption of satellites in Military and Space applications along with increased R&D activities are driving the growth of the market.
Military sector is witnessing a significant growth of the market owing to the requirement of advanced communication systems for completing their missions and tracking the exact position and movement of their solders.
North America is witnessing a significant growth of the market owing to the presence of one of the biggest space research organization “NASA” in which R&D activities are majorly performed along with the new policies organized by the government related to the satellites in the Military and Defense sector.
Satellite Manufacturing Market Segment Analysis - By Type
By Type the market is segmented into Communication Satellite, Remote Sensing Satellite, Navigation Satellite, Geocentric Orbit type satellites, Global Positioning System, Geostationary Satellites, Drone Satellite, Ground Satellite, Polar Satellite, Nano Satellites, CubeSats, SmallSats. Communication satellite are dominating the market at 24.5% in 2020 owing to its large use in television, telephone, radio, internet and military applications. Communication satellite uses radio frequencies and microwave frequencies to allow communication between separated geographical points on the Earth. Communication satellites are used in variety of applications such as long-distance telephone transmission, gathering intelligence in military, navigation of ships and aircrafts, weather forecasting and others owing to which it has a demand in the market. These factors have boosted the market growth.
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Satellite Manufacturing Market Segment Analysis - By Application
By Application the market is segmented into Military & Government, Commercial. Military & Government is witnessing a significant growth in the market. Military and Government sector is witnessing a significant growth in the market at 3.9% CAGR through 2026. In Military and government the satellites are used for intelligence gathering, military communications, and navigation purposes. The private and commercial satellites have become a significant provider of satellite services in the military applications. A continuous picture of location and movements of the solders are provided to the commanders through the combination of GPS –derived positioned data and advanced communication along with variety of space and airborne sensors. These factors are driving the growth of the market.
Satellite Manufacturing Market Segment Analysis - By Geography
By Geography the Satellite Manufacturing Market is dominated by North America with a market share 42.6% in 2020. Presence of robust framework for designing and manufacturing of satellites is one of the predominant factors driving the market in this region. The presence of the major key players and most advanced technological developments in this region is also boosting the growth of the market. On December 2919, National Defense Authorization acts was signed by President Trump. This act created a Space Force and is responsible for organizing, training, and equipping space forces command for the U.S military. The presence of one of the biggest space research organization “NASA” has also propelled the manufacturing of satellites with advanced technology which are involved in the R&D activities. These factors are driving the market in North America.
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Satellite Manufacturing Market Drivers
Surge in use of satellites in Military applications:
Surge of satellites in military applications have resulted in the development of small bodyguard satellite and space based laser defenses to protect important space assets. Many of the countries are purchasing satellites to support their own strategic Military activities. In APAC region China is the fastest growing country in civil, military and commercial capabilities. China is planning to launch two BeiDou Satellites into geostationary orbit in 2020. China plans to follow up this mission in late 2020 with Chang’e-5, a mission that aims to return samples from the Moon back to Earth for further study. U.S and other countries are also involved in the planning and launch of the satellites aiming to strengthen their military activities and communication within their armed forces. These factors are driving the market growth.
Technological advancements and growth in internet:
The rising use of internet applications have resulted in the manufacturing of more advanced satellite for communication purposes. The satellite are connected to the ground stations through which they are controlled. The antennas on satellites and ground stations, the landlines that connect ground stations to terrestrial networks, and the user terminals that connect to satellites are all potential intrusion points for cyber-attacks. Cyber-attacks can be used to monitor data traffic patterns. A cyber- attack on space systems can result in data loss, widespread disruptions, and even permanent loss of a satellite. To control all these situations the major key players are manufacturing the satellites with advanced capabilities. Rising internet penetration is propelling the growth of satellites used for communication purposes. These factors are fueling the growth of the market.
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Satellite Manufacturing Market Challenges
Complex Programming and Design related Risks:
Although the satellite are used in communications and many space missions but most of the space related missions fails due the complexity related to the designing and programming of the satellites. The designers relay on numerical modelling of vehicle aerodynamics rather than actual wind tunnel tests. These factors are causing major restrain in the market growth.
Satellite Manufacturing Market Landscape
Satellite Manufacturing Market is dominated by major companies such as Airbus Defense and Space, OHB SE, Boeing Defense, Space and Security, JSC Information Satellite Systems, Lockheed Martin, Northrop Grumman, Space Systems, Thales Alenia Space, Capella Space, Ursa Space Systems among others.
Acquisitions/Technology Launches
In January 2020, Capella Space evolved its satellite design “testbed satellite”. It enables on –demand observation from anywhere on Earth. This design is anticipated to deliver the most flexible and frequent high quality images in the market.
#Satellite Manufacturing Market#Communication Satellite#Satellite Manufacturing Market Size#data bandwidth#Satellite Manufacturing Market Share#Satellite Manufacturing Market Analysis#Satellite Manufacturing Market Revenue#Satellite Manufacturing Market Trends#Satellite Manufacturing Market Growth#Satellite Manufacturing Market Research#Satellite Manufacturing Market Outlook#Satellite Manufacturing Market Forecast
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5G-Powered Drones: Ericsson, Qualcomm And Dronus Collaboration In Developing Autonomous Drone Solutions

5G mmWave technology for industrial use. Ericsson, Qualcomm, and Dronus Collaboration in developing autonomous drone solutions. The world of industrial automation is on the cusp of a revolution, and at the forefront is a powerful combination, of 5G technology and autonomous drones. A recent collaboration between Ericsson, Qualcomm Technologies, Inc., and Dronus provides a glimpse into this exciting future.
#5G drones#Industrial automation#Indoor drone applications#Warehouse inventory management#mmWave 5G technology#Autonomous drones#Industry 4.0#5G smart factory#(PoC)#Qualcomm QRB5165 processor#Telit Cinterion#mmWave#Industrial M.2 data card#5G Modem-RF System#Native mmWave connectivity#High-performance 5G connection#Bandwidth-intensive industrial operations#drone
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do you think I could play splatoon 3 on the wifi that is barely loading this app
#actually splatoon might use less bandwidth than this monster#one time I checked my monthly wifi data usage and this app alone had used like 30 gb#I am on here a lot though
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Understanding the Difference Between 4G and 5G Networks
As our reliance on mobile connectivity grows, so does the need for faster, more efficient networks. Understanding the difference between 4G and 5G networks is crucial as 5G technology becomes more widely available, promising to revolutionise how we interact with the digital world. From browsing the web to powering autonomous vehicles and smart cities, 5G is set to offer significant advancements…
#4G#5G#5G applications#5G benefits#5G rollout#5G security#AI#AR#automation#autonomous vehicles#bandwidth#cell towers#cloud#Connected Devices#connectivity#cyber threats#data transfer#digital#download speed#emerging tech#encryption#firewalls#Healthcare#infrastructure#innovation#IoT#IT leaders#latency#low latency#Mobile
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#remotejob#freelance#writing#transcription#2010s#data#ty dolla $ign#make money online#passive income#investing#bandwidth
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This part gets me.
Publishers not wanting to pay an increased manufacturing cost for a high capacity game cartridge is almost understandable.
Not putting ANY game data on a cartridge is LITERALLY insane.
I personally had high hopes for Switch 2 cartridges. The OG switch cartridges were ultimately increased to 32 GBs throughout the console's lifespan. I was expecting that they'd increase the capacity, especially for first party titles like Mario or Zelda.
Like how can you reasonably expect to charge folks a higher price for a physical copy of a game, only to take up 32 GBs of onboard system storage???

Preservation is dead
#jacob blogs#im sure it wont be too long before folks can softmod switch 2 hardware#and rip game data from the system#also no way nintendo designed a cartridge to have such shitty bandwidth??#I'd rather have some load times and have the data on the cart#than have zero load times and require the game to take up 15% of my console storage
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Title: “GetGrass: Unleashing the Power of Community Bandwidth for Decentralized Data”
Description: Welcome to the world of GetGrass, where blockchain intersects with real-world data! 🌐🌿 In this video, we dive into the revolutionary concept of GetGrass—a self-sustaining ecosystem fueled by the collective bandwidth of its community members. Discover how GetGrass is reshaping data oracles and empowering decentralized applications across the blockchain space. 🚀
Hashtags: #GetGrass #DecentralizedData #BlockchainRevolution #CommunityBandwidth #RealWorldData #CryptoInnovation
Tags:
GetGrass, Decentralized Data, Blockchain, Community Bandwidth, Real-World Data, Crypto, Solana, Layer 2 Scaling, GRASS Tokens, Blockchain Revolution, Data Oracles, IoT Gadgets, AI Applications, Passive Earnings, Greener Future, Global Network, Crypto Innovation, Real-World Connectivity, Community Participation
#youtube#GetGrass DecentralizedData BlockchainRevolution CommunityBandwidth RealWorldData CryptoInnovation#GetGrass Decentralized Data Blockchain Community Bandwidth Real-World Data Crypto Solana Layer 2 Scaling GRASS Tokens Blockchain Revolution
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Disk Space vs. Bandwidth: Understanding the Differences and Their Impact
Disk Space:
Disk space, also known as storage or web hosting space, is the allocated physical storage on a server where all website files, databases, images, and other content are stored. It is the digital real estate that houses the essential components that make up your website. Disk space is a foundational element of web hosting, and understanding its basics is paramount for effective website management.
Bandwidth:
Bandwidth, on the other hand, refers to the amount of data that can be transferred between your website and its visitors over a specific period. It is a crucial metric that influences the speed and responsiveness of your site. Bandwidth is measured in gigabytes (GB) or terabytes (TB) per month, indicating the volume of data that can be transmitted.
To Learn More, Click this Link:
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All-Star Moments in Space Communications and Navigation
How do we get information from missions exploring the cosmos back to humans on Earth? Our space communications and navigation networks – the Near Space Network and the Deep Space Network – bring back science and exploration data daily.
Here are a few of our favorite moments from 2024.

1. Hip-Hop to Deep Space
The stars above and on Earth aligned as lyrics from the song “The Rain (Supa Dupa Fly)” by hip-hop artist Missy Elliott were beamed to Venus via NASA’s Deep Space Network. Using a 34-meter (112-foot) wide Deep Space Station 13 (DSS-13) radio dish antenna, located at the network’s Goldstone Deep Space Communications Complex in California, the song was sent at 10:05 a.m. PDT on Friday, July 12 and traveled about 158 million miles from Earth to Venus — the artist’s favorite planet. Coincidentally, the DSS-13 that sent the transmission is also nicknamed Venus!
NASA's PACE mission transmitting data to Earth through NASA's Near Space Network.
2. Lemme Upgrade You
Our Near Space Network, which supports communications for space-based missions within 1.2 million miles of Earth, is constantly enhancing its capabilities to support science and exploration missions. Last year, the network implemented DTN (Delay/Disruption Tolerant Networking), which provides robust protection of data traveling from extreme distances. NASA’s PACE (Plankton, Aerosol, Cloud, ocean Ecosystem) mission is the first operational science mission to leverage the network’s DTN capabilities. Since PACE’s launch, over 17 million bundles of data have been transmitted by the satellite and received by the network’s ground station.

A collage of the pet photos sent over laser links from Earth to LCRD and finally to ILLUMA-T (Integrated LCRD Low Earth Orbit User Modem and Amplifier Terminal) on the International Space Station. Animals submitted include cats, dogs, birds, chickens, cows, snakes, and pigs.
3. Who Doesn’t Love Pets?
Last year, we transmitted hundreds of pet photos and videos to the International Space Station, showcasing how laser communications can send more data at once than traditional methods. Imagery of cherished pets gathered from NASA astronauts and agency employees flowed from the mission ops center to the optical ground stations and then to the in-space Laser Communications Relay Demonstration (LCRD), which relayed the signal to a payload on the space station. This activity demonstrated how laser communications and high-rate DTN can benefit human spaceflight missions.
4K video footage was routed from the PC-12 aircraft to an optical ground station in Cleveland. From there, it was sent over an Earth-based network to NASA’s White Sands Test Facility in Las Cruces, New Mexico. The signals were then sent to NASA’s Laser Communications Relay Demonstration spacecraft and relayed to the ILLUMA-T payload on the International Space Station.
4. Now Streaming
A team of engineers transmitted 4K video footage from an aircraft to the International Space Station and back using laser communication signals. Historically, we have relied on radio waves to send information to and from space. Laser communications use infrared light to transmit 10 to 100 times more data than radio frequency systems. The flight tests were part of an agency initiative to stream high-bandwidth video and other data from deep space, enabling future human missions beyond low-Earth orbit.

The Near Space Network provides missions within 1.2 million miles of Earth with communications and navigation services.
5. New Year, New Relationships
At the very end of 2024, the Near Space Network announced multiple contract awards to enhance the network’s services portfolio. The network, which uses a blend of government and commercial assets to get data to and from spacecraft, will be able to support more missions observing our Earth and exploring the cosmos. These commercial assets, alongside the existing network, will also play a critical role in our Artemis campaign, which calls for long-term exploration of the Moon.

On Monday, Oct. 14, 2024, at 12:06 p.m. EDT, a SpaceX Falcon Heavy rocket carrying NASA’s Europa Clipper spacecraft lifts off from Launch Complex 39A at NASA’s Kennedy Space Center in Florida.
6. 3, 2, 1, Blast Off!
Together, the Near Space Network and the Deep Space Network supported the launch of Europa Clipper. The Near Space Network provided communications and navigation services to SpaceX’s Falcon Heavy rocket, which launched this Jupiter-bound mission into space! After vehicle separation, the Deep Space Network acquired Europa Clipper’s signal and began full mission support. This is another example of how these networks work together seamlessly to ensure critical mission success.

Engineer Adam Gannon works on the development of Cognitive Engine-1 in the Cognitive Communications Lab at NASA’s Glenn Research Center.
7. Make Way for Next-Gen Tech
Our Technology Education Satellite program organizes collaborative missions that pair university students with researchers to evaluate how new technologies work on small satellites, also known as CubeSats. In 2024, cognitive communications technology, designed to enable autonomous space communications systems, was successfully tested in space on the Technology Educational Satellite 11 mission. Autonomous systems use technology reactive to their environment to implement updates during a spaceflight mission without needing human interaction post-launch.

A first: All six radio frequency antennas at the Madrid Deep Space Communication Complex, part of NASA’s Deep Space Network (DSN), carried out a test to receive data from the agency’s Voyager 1 spacecraft at the same time.
8. Six Are Better Than One
On April 20, 2024, all six radio frequency antennas at the Madrid Deep Space Communication Complex, part of our Deep Space Network, carried out a test to receive data from the agency’s Voyager 1 spacecraft at the same time. Combining the antennas’ receiving power, or arraying, lets the network collect the very faint signals from faraway spacecraft.
Here’s to another year connecting Earth and space.
Make sure to follow us on Tumblr for your regular dose of space!
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Data Transfer
In today’s news, a fruit company continues marketing stuff to people who don’t need what they’re selling for the price it is being sold for – but who buy it because of the brand. Wait, that isn’t a fruit company. Doesn’t matter. It’s a slow news day. So I’ll build up some of what I wrote in Traffic here, since it connects two things that are often disconnected and siloed in these chaotic times.…

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Webinar Wednesday: Fiber Optics Demystified - The Future of High-Speed Internet
🌐💡🚀 Welcome to Webinar Wednesday, where we unravel the mysteries of fiber optics and explore the bright future of high-speed internet. In this post, we’ll take you on a journey through the world of fiber optics, using easy-to-understand analogies, emojis, and a dash of humor to make it entertaining and engaging for tech enthusiasts and non-tech folks alike. Get ready to discover the magic of…
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#bandwidth#data transmission#Fiber optics#future-proof technology#high-speed internet#interference immunity#photons#speed of light
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What kind of bubble is AI?

My latest column for Locus Magazine is "What Kind of Bubble is AI?" All economic bubbles are hugely destructive, but some of them leave behind wreckage that can be salvaged for useful purposes, while others leave nothing behind but ashes:
https://locusmag.com/2023/12/commentary-cory-doctorow-what-kind-of-bubble-is-ai/
Think about some 21st century bubbles. The dotcom bubble was a terrible tragedy, one that drained the coffers of pension funds and other institutional investors and wiped out retail investors who were gulled by Superbowl Ads. But there was a lot left behind after the dotcoms were wiped out: cheap servers, office furniture and space, but far more importantly, a generation of young people who'd been trained as web makers, leaving nontechnical degree programs to learn HTML, perl and python. This created a whole cohort of technologists from non-technical backgrounds, a first in technological history. Many of these people became the vanguard of a more inclusive and humane tech development movement, and they were able to make interesting and useful services and products in an environment where raw materials – compute, bandwidth, space and talent – were available at firesale prices.
Contrast this with the crypto bubble. It, too, destroyed the fortunes of institutional and individual investors through fraud and Superbowl Ads. It, too, lured in nontechnical people to learn esoteric disciplines at investor expense. But apart from a smattering of Rust programmers, the main residue of crypto is bad digital art and worse Austrian economics.
Or think of Worldcom vs Enron. Both bubbles were built on pure fraud, but Enron's fraud left nothing behind but a string of suspicious deaths. By contrast, Worldcom's fraud was a Big Store con that required laying a ton of fiber that is still in the ground to this day, and is being bought and used at pennies on the dollar.
AI is definitely a bubble. As I write in the column, if you fly into SFO and rent a car and drive north to San Francisco or south to Silicon Valley, every single billboard is advertising an "AI" startup, many of which are not even using anything that can be remotely characterized as AI. That's amazing, considering what a meaningless buzzword AI already is.
So which kind of bubble is AI? When it pops, will something useful be left behind, or will it go away altogether? To be sure, there's a legion of technologists who are learning Tensorflow and Pytorch. These nominally open source tools are bound, respectively, to Google and Facebook's AI environments:
https://pluralistic.net/2023/08/18/openwashing/#you-keep-using-that-word-i-do-not-think-it-means-what-you-think-it-means
But if those environments go away, those programming skills become a lot less useful. Live, large-scale Big Tech AI projects are shockingly expensive to run. Some of their costs are fixed – collecting, labeling and processing training data – but the running costs for each query are prodigious. There's a massive primary energy bill for the servers, a nearly as large energy bill for the chillers, and a titanic wage bill for the specialized technical staff involved.
Once investor subsidies dry up, will the real-world, non-hyperbolic applications for AI be enough to cover these running costs? AI applications can be plotted on a 2X2 grid whose axes are "value" (how much customers will pay for them) and "risk tolerance" (how perfect the product needs to be).
Charging teenaged D&D players $10 month for an image generator that creates epic illustrations of their characters fighting monsters is low value and very risk tolerant (teenagers aren't overly worried about six-fingered swordspeople with three pupils in each eye). Charging scammy spamfarms $500/month for a text generator that spits out dull, search-algorithm-pleasing narratives to appear over recipes is likewise low-value and highly risk tolerant (your customer doesn't care if the text is nonsense). Charging visually impaired people $100 month for an app that plays a text-to-speech description of anything they point their cameras at is low-value and moderately risk tolerant ("that's your blue shirt" when it's green is not a big deal, while "the street is safe to cross" when it's not is a much bigger one).
Morganstanley doesn't talk about the trillions the AI industry will be worth some day because of these applications. These are just spinoffs from the main event, a collection of extremely high-value applications. Think of self-driving cars or radiology bots that analyze chest x-rays and characterize masses as cancerous or noncancerous.
These are high value – but only if they are also risk-tolerant. The pitch for self-driving cars is "fire most drivers and replace them with 'humans in the loop' who intervene at critical junctures." That's the risk-tolerant version of self-driving cars, and it's a failure. More than $100b has been incinerated chasing self-driving cars, and cars are nowhere near driving themselves:
https://pluralistic.net/2022/10/09/herbies-revenge/#100-billion-here-100-billion-there-pretty-soon-youre-talking-real-money
Quite the reverse, in fact. Cruise was just forced to quit the field after one of their cars maimed a woman – a pedestrian who had not opted into being part of a high-risk AI experiment – and dragged her body 20 feet through the streets of San Francisco. Afterwards, it emerged that Cruise had replaced the single low-waged driver who would normally be paid to operate a taxi with 1.5 high-waged skilled technicians who remotely oversaw each of its vehicles:
https://www.nytimes.com/2023/11/03/technology/cruise-general-motors-self-driving-cars.html
The self-driving pitch isn't that your car will correct your own human errors (like an alarm that sounds when you activate your turn signal while someone is in your blind-spot). Self-driving isn't about using automation to augment human skill – it's about replacing humans. There's no business case for spending hundreds of billions on better safety systems for cars (there's a human case for it, though!). The only way the price-tag justifies itself is if paid drivers can be fired and replaced with software that costs less than their wages.
What about radiologists? Radiologists certainly make mistakes from time to time, and if there's a computer vision system that makes different mistakes than the sort that humans make, they could be a cheap way of generating second opinions that trigger re-examination by a human radiologist. But no AI investor thinks their return will come from selling hospitals that reduce the number of X-rays each radiologist processes every day, as a second-opinion-generating system would. Rather, the value of AI radiologists comes from firing most of your human radiologists and replacing them with software whose judgments are cursorily double-checked by a human whose "automation blindness" will turn them into an OK-button-mashing automaton:
https://pluralistic.net/2023/08/23/automation-blindness/#humans-in-the-loop
The profit-generating pitch for high-value AI applications lies in creating "reverse centaurs": humans who serve as appendages for automation that operates at a speed and scale that is unrelated to the capacity or needs of the worker:
https://pluralistic.net/2022/04/17/revenge-of-the-chickenized-reverse-centaurs/
But unless these high-value applications are intrinsically risk-tolerant, they are poor candidates for automation. Cruise was able to nonconsensually enlist the population of San Francisco in an experimental murderbot development program thanks to the vast sums of money sloshing around the industry. Some of this money funds the inevitabilist narrative that self-driving cars are coming, it's only a matter of when, not if, and so SF had better get in the autonomous vehicle or get run over by the forces of history.
Once the bubble pops (all bubbles pop), AI applications will have to rise or fall on their actual merits, not their promise. The odds are stacked against the long-term survival of high-value, risk-intolerant AI applications.
The problem for AI is that while there are a lot of risk-tolerant applications, they're almost all low-value; while nearly all the high-value applications are risk-intolerant. Once AI has to be profitable – once investors withdraw their subsidies from money-losing ventures – the risk-tolerant applications need to be sufficient to run those tremendously expensive servers in those brutally expensive data-centers tended by exceptionally expensive technical workers.
If they aren't, then the business case for running those servers goes away, and so do the servers – and so do all those risk-tolerant, low-value applications. It doesn't matter if helping blind people make sense of their surroundings is socially beneficial. It doesn't matter if teenaged gamers love their epic character art. It doesn't even matter how horny scammers are for generating AI nonsense SEO websites:
https://twitter.com/jakezward/status/1728032634037567509
These applications are all riding on the coattails of the big AI models that are being built and operated at a loss in order to be profitable. If they remain unprofitable long enough, the private sector will no longer pay to operate them.
Now, there are smaller models, models that stand alone and run on commodity hardware. These would persist even after the AI bubble bursts, because most of their costs are setup costs that have already been borne by the well-funded companies who created them. These models are limited, of course, though the communities that have formed around them have pushed those limits in surprising ways, far beyond their original manufacturers' beliefs about their capacity. These communities will continue to push those limits for as long as they find the models useful.
These standalone, "toy" models are derived from the big models, though. When the AI bubble bursts and the private sector no longer subsidizes mass-scale model creation, it will cease to spin out more sophisticated models that run on commodity hardware (it's possible that Federated learning and other techniques for spreading out the work of making large-scale models will fill the gap).
So what kind of bubble is the AI bubble? What will we salvage from its wreckage? Perhaps the communities who've invested in becoming experts in Pytorch and Tensorflow will wrestle them away from their corporate masters and make them generally useful. Certainly, a lot of people will have gained skills in applying statistical techniques.
But there will also be a lot of unsalvageable wreckage. As big AI models get integrated into the processes of the productive economy, AI becomes a source of systemic risk. The only thing worse than having an automated process that is rendered dangerous or erratic based on AI integration is to have that process fail entirely because the AI suddenly disappeared, a collapse that is too precipitous for former AI customers to engineer a soft landing for their systems.
This is a blind spot in our policymakers debates about AI. The smart policymakers are asking questions about fairness, algorithmic bias, and fraud. The foolish policymakers are ensnared in fantasies about "AI safety," AKA "Will the chatbot become a superintelligence that turns the whole human race into paperclips?"
https://pluralistic.net/2023/11/27/10-types-of-people/#taking-up-a-lot-of-space
But no one is asking, "What will we do if" – when – "the AI bubble pops and most of this stuff disappears overnight?"
If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
https://pluralistic.net/2023/12/19/bubblenomics/#pop
Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg
CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en
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What Should You Know About Edge Computing?
As technology continues to evolve, so do the ways in which data is processed, stored, and managed. One of the most transformative innovations in this space is edge computing. But what should you know about edge computing? This technology shifts data processing closer to the source, reducing latency and improving efficiency, particularly in environments where immediate action or analysis is…
#5G#AI#AI edge#AI integration#automation#autonomous vehicles#bandwidth#cloud#cloud infrastructure#cloud security#computing#computing power#data generation#data management#data processing#data storage#data transfer#decentralization#digital services#digital transformation#distributed computing#edge analytics#edge computing#edge devices#edge inferencing#edge networks#edge servers#enterprise data#Healthcare#hybrid cloud
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Lost in Analysis (Winter x Male OC)
5k words, smut, fluff, happiness, data
Winter x Male OC

The thing about Junho Kim's[1] weekly debriefs with Minjeong Kim was that they followed a precise algorithm, an almost liturgical routine that both participants had wordlessly agreed upon circa Winter's third month of employment (viz. April 2024). The format went as follows: Winter would arrive at exactly 18:30 on Friday bearing a leather-bound portfolio containing the week's logistics reports, margin analyses, and projected Q3/Q4 modeling scenarios. Junho would pretend to study these for exactly twelve minutes while Winter sat in the ergonomic chair across his desk, her accent becoming pronounced in direct proportion to her anxiety level[2].
What happened on this particular Friday deviated from the algorithm in ways that would later prove significant, starting with Winter's arrival at 18:27[3].
"The Busan account numbers are off," Junho said, his photographic memory already detecting a 0.03% discrepancy in the third-quarter projections. The words emerged with the mechanical precision of someone who had learned human speech through technical manuals rather than conversation. "This is—" he paused, index finger tapping against his mahogany desk in a rapidfire motion that Winter had learned to recognize as his pre-explosion tell, "—unacceptable."
And then something unprecedented occurred.
Instead of her usual composed absorption of his critique, Winter's face crumpled into what could only be described as a squeaky whimper, a sound so incongruous with her usual professional demeanor that it seemed to physically stun Junho into silence. It was the acoustic equivalent of watching a Mercedes-Benz hiccup.
The algorithm crashed.
—
[1] Junho Kim, CEO of Quantum Logistics Solutions, net worth $2.3B (₩3.1T), possessed what his former Harvard professors called "an almost frightening capacity for data retention" and what his former therapist (sessions terminated after 2.5 meetings) called "a pathological inability to process emotional bandwidth."
[2] A phenomenon her roommate had dubbed "The Accent Anxiety Index," where her carefully practiced Seoul pronunciation would gradually give way to her native Busan satoori, ranging from barely detectable at Level 1 ("감사합니다") to full coastal at Level 10 ("아이고, 사장님, 이 숫자 영 아니네요").
[3] The 3-minute early arrival would later be explained by a complex series of events involving a broken elevator, two flights of stairs, and Winter's determination not to let her carefully constructed timeline collapse due to mechanical failure.
—
The following Friday's debrief began with Junho actually pulling out Winter's chair[4], a gesture so unexpected that she nearly missed the seat entirely. The portfolio was reviewed. The whiskey was poured (Junho's usual Macallan 25, Winter's Hwayo 41). And then, somewhere between the second and third drink, Winter's accent kicked into what would later be classified as Level 11 on the Southern Comfort Scale.
"You know what your problem is, sajangnim?" Minjeong's words carried the warm weight of soju and suppressed frustration, her carefully maintained Seoul accent dissolving entirely into coastal inflections. "당신은 인생을 마치 스프레드시트처럼 대하시네요. Everything must calculate perfectly, but people aren't numbers, and some of us are tired of being debugged like broken code."
Junho's finger stopped its habitual tapping mid-motion[5].
—
[4] A gesture learned from a WikiHow article titled "Basic Human Courtesy: A Beginner's Guide" that Junho had queued up on his tablet at 3:47 AM the previous Tuesday.
[5] Later analysis would reveal this as the exact moment Junho Kim, master of algorithms and logistics, encountered a variable his photographic memory couldn't process: genuine human connection.[6]
The office fell into a silence that could be measured in heartbeats (Junho's: an efficient 72 BPM; Minjeong's: an elevated 98 BPM). Outside, Seoul's financial district performed its usual Friday night exodus, the sound of departing Mercedes and BMWs creating a capitalistic symphony twenty-three floors below.
"시간이..." Minjeong continued, her Busan accent now operating at what could only be classified as Level 12[7], "Time isn't just money, 사장님. Sometimes it's just... time. Like those lunches you wolf down in exactly eight minutes while reading reports. Or these Friday meetings where you never actually look at me, just through me at some invisible spreadsheet floating in the air behind my head."
Junho's hand, still frozen mid-tap, slowly lowered to the desk. His photographic memory began involuntarily cataloging details it had somehow missed during their previous 47 debriefs: the way Minjeong's left hand always fidgeted with her portfolio's corner when nervous, how her voice carried traces of sea salt and summer festivals despite years of Seoul speech coaching, the fact that she had memorized his coffee preferences down to the precise temperature (81°C, no higher, no lower).
"I do look at you," he said, then immediately registered the statistical improbability of his own response[8].
Minjeong's laugh carried the particular timber of someone who had been holding it in reserve for approximately 11.7 months. "아니요, you really don't. You look at KPIs and performance metrics and quarterly projections. Did you know," she leaned forward, her accent thick as Busan fog, "that I've worn the same earrings every Friday for three months just to see if you'd notice?"
The earrings in question were small silver cranes, Junho's memory instantly supplied, purchased from a street vendor in Gukje Market during last quarter's Busan office inspection, chosen because their wings formed the mathematical symbol for infinity when viewed from the correct angle[9].
—
[6] A concept that would later require Junho to create an entirely new category in his mental filing system, located somewhere between "Acceptable Business Practices" and "Breathing Exercises (Mandatory)."
[7] A previously theoretical level on the Accent Anxiety Index, characterized by the complete abandonment of Seoul linguistic pretense and the emergence of what Minjeong's mother would call "우리 딸의 진짜 목소리" (our daughter's real voice).
[8] Statistical analysis of Junho's daily eye contact patterns, conducted by his personal AI assistant, revealed an average sustained eye contact duration of 1.3 seconds with all employees, making his current 4.7-second gaze at Minjeong a 361.5% deviation from the mean.
[9] A detail that would have impressed Junho greatly had he noticed it at the time of purchase, rather than at this precise moment when his brain was simultaneously trying to process the concept of infinity and the way Minjeong's eyes reflected the city lights like binary code translated into stardust.
—
The Hwayo bottle stood between them like a glass mediator, its contents depleted by exactly 73.4%. Junho found himself performing calculations he had never previously considered necessary: the precise angle at which Minjeong's smile disrupted his cardiac rhythm (42.7°), the correlation coefficient between her proximity and his ability to maintain coherent thought patterns (inverse relationship, R² = 0.97), the half-life of each satoori-tinged syllable in his auditory memory (approaching infinity)[10].
"There's a pojangmacha," Minjeong said, her words now performing linguistic gymnastics between Seoul and Busan, "down in Gangnam that serves 할매's 파전 just like back home. But you—" she gestured with her glass, creating small amber trajectories in the air, "—you probably have the exact caloric content memorized without ever tasting it."
"624 calories per standard serving," Junho confirmed automatically, then added, in what he would later recognize as his first attempt at human humor[11], "Not accounting for 할매's (grandmother’s) love."
The laugh that escaped Minjeong's lips was genuine enough to bypass all of Junho's statistical models for appropriate business interaction. It was the kind of laugh that made him wonder if his entire algorithmic approach to life had been operating on a fundamental error: the assumption that human emotions could be debugged rather than experienced.
"사장님," she said, then caught herself, "아니, Junho-ssi." The honorific shift created a quantifiable disruption in the office's atmospheric pressure[12]. "Do you know why I cry sometimes when you yell about the numbers?"
Junho's hands found themselves attempting to calculate an emotion he had no formula for. "I... have a working hypothesis."
"It's not because I'm scared or hurt," she continued, her Busan accent now wrapping around the words like a warm coast-side breeze. "It's because I see you turning yourself into code, like you're trying to compile a human being into binary, and..." she paused, searching for words in both Seoul and Busan vocabularies before settling on, "...그게 너무 아까워요."
The phrase hung in the air, untranslatable in its full emotional weight[13].
—
[10] A phenomenon that would later require Junho to create an entirely new mathematical framework he privately termed "The Minjeong Constant: Variables in Human Connection."
[11] Later analysis of office security footage would reveal this as his first non-data-related comment in approximately 2,847 hours of recorded business interactions.
[12] Advanced environmental sensors in the building's HVAC system actually recorded a 0.02% change in air pressure at this exact moment, though causation versus correlation remains a subject of debate among the building's maintenance staff.
[13] The closest English approximation might be "it's such a waste," but this fails to capture the uniquely Korean sense of regret for potential beauty lost to unnecessary efficiency, like trying to measure ocean waves in milliliters.
—
For exactly 15.4 seconds, Junho Kim—master of instantaneous data processing, champion of real-time analytics—found himself buffering. His mind, that perfectly calibrated instrument of calculation, attempted to run multiple subroutines simultaneously:
ROUTINE_1: Analyze the 2.3% tremor in Minjeong's voice during "그게 너무 아까워요"
ROUTINE_2: Process the 7.4mm dilation of his pupils upon hearing his given name
ROUTINE_3: Calculate the exact distance between their hands on the desk (23.7cm, decreasing by approximately 0.3mm per heartbeat)
ERROR: Stack overflow in emotional processing unit[14]
"I have a file," he began, then stopped, realizing that perhaps not everything needed to be classified and stored. "No, I mean... I remember every time you've smiled at work. Real smiles, not the ones you use for clients or difficult vendors." His fingers twitched, instinctively seeking a keyboard that wasn't there. "The data suggests that they occur most frequently when you're talking about Busan, or when you think no one is watching you arrange the office plants, or..." he paused, processing, "...or when you're correcting my humanity protocols[15]."
Minjeong's eyes widened, creating what Junho's brain automatically calculated as a 34.6% increase in their reflective surface area. "You... keep track of my smiles?"
"I keep track of everything," he said, then amended, displaying unprecedented runtime flexibility, "but your smiles occupy 43% more memory space than standard data points."
"아이고," Minjeong laughed, the sound carrying hints of sea breezes and noraebang nights, "only you would quantify feelings in percentages and memory allocation, 사장님[16]."
The Hwayo bottle now stood at 82.6% depletion. Outside, Seoul had transformed into its weekend configuration, all neon equations and binary dreams. But inside this office, something unquantifiable was compiling—a program written in neither Python nor Java, but in the ancient code of human connection.
"There's a logical error in your earlier statement," Junho said suddenly, his voice performing calculations it had never been calibrated for. "About me not looking at you."
"Oh?" Minjeong's eyebrow arched at precisely 27 degrees.
"I look at you approximately 2,347 times per day. My peripheral vision activates in your presence with 72% more frequency than baseline. I have memorized exactly 267 variations of your voice modulation between Seoul and Busan registers[17]. The error," he continued, his own accent slipping for the first time since Harvard, "is in assuming I don't see you."
—
[14] A phenomenon his Harvard professors had theoretically predicted but never successfully documented: the complete shutdown of pure logic circuits in favor of what they termed "human.exe."
[15] A private joke that had never made it past his internal firewall until this moment, referring to the way she subtly guided him toward more socially acceptable behaviors, like suggesting he say "good morning" to the cleaning staff or remember team members' birthdays.
[16] The honorific here carrying a new weight, somewhere between professional distance and affectionate teasing, a linguistic quantum state that would have fascinated physicists had they been present to observe it.
[17] This particular statistic would later become the subject of a 3 AM realization that perhaps "normal" CEOs don't maintain such detailed databases of their assistants' vocal patterns.
—
The confession hung in the air with the weight of a misplaced decimal point. Minjeong's hand, still holding her Hwayo glass, trembled at a frequency of approximately 3.2 Hz. The office's automated climate control system registered a sudden 0.7°C spike in local temperature[18].
"그래서..." Minjeong's voice emerged in Pure Pattern #271 (Subcategory: Emotional Breakthrough), "this is why you always know when I've had 떡볶이 for lunch?"
The unexpected query caused Junho to experience what his systems could only classify as a brief moment of runtime joy. "The specific aroma particles adhere to your cardigan at a rate of—" he caught himself, noting the gleam in her eye, and for the first time in recorded history, Junho Kim deliberately chose not to complete a calculation[19].
Instead, he found himself saying, "Your smile increases by exactly 23.7% when you eat 떡볶이. It's... optimal."
"최적화?" Minjeong's laugh carried notes of soju and starlight. "You're really going to data-analyze my happiness levels?"
"I have spreadsheets," he admitted, his voice carrying an unfamiliar warmth that his diagnostic systems struggled to categorize. "Cross-referenced with weather patterns, quarterly reports, and the frequency of your Busan accent emergence[20]."
"아이고..." She shifted in her chair, reducing the distance between them by precisely 4.7 centimeters. "You're either the weirdest or the most romantic person I've ever met, and I haven't decided which yet."
The word 'romantic' created a momentary buffer overflow in Junho's cognitive processes. His hands, typically occupied with calculating profit margins or optimizing supply chains, found themselves drawing abstract patterns on his desk's surface—a behavior previously filed under 'Inefficient Human Gestures: Do Not Engage.'
"I could..." he paused, processing, "...show you the data?"
—
[17] This particular dataset would later be renamed in his personal files to "The Minjeong Codex: A Quantitative Analysis of Qualitative Perfection."
[18] The building's maintenance staff would later attribute this to a mechanical anomaly, unaware they had documented the exact moment Junho Kim's ice-cold corporate facade began its calculated melt.
[19] A moment that would later be marked in his personal development log as "First Successful Implementation of Strategic Data Suppression for Emotional Optimization."
[20] These spreadsheets, discovered months later during a routine server backup, would become legendary among the IT department as "The Love Languages of Linear Regression."
—
Minjeong's eyes sparkled with what Junho's facial recognition protocols quantified as 87% mirth, 13% tenderness. "보여주세요," she said, the soju making her consonants softer, more Busan-bound. "Show me this data about me."
For the first time in his professional career, Junho Kim fumbled with his laptop password[21]. The Hwayo bottle between them had decreased to critical levels, and he found the standard office lights were creating unusual prismatic effects in Minjeong's hair. His fingers, typically precise to the microsecond, skittered across the keyboard.
"See, here's the correlation between your happiness metrics and the proximity to Korean holidays," he began, then stopped, distracted by the way she'd rolled her chair closer to view his screen. The scent of her perfume (도라지 꽃, his brain supplied automatically, though for once the percentage calculation felt irrelevant) mixed with the lingering soju in the air.
"You made a pie chart," she said, her voice warm with something his systems were too buzzed to properly quantify, "of my favorite lunch spots?"
"The data visualization seemed... appropriate," he managed, aware that his usual processing power was operating at diminished capacity. "Though I may have spent a statistically anomalous amount of time color-coding it to match your favorite blazer[22]."
Minjeong's laugh had shed all traces of its Seoul polish. "어머나, who knew the great Junho Kim was such a..." she searched for the word in both dialects before landing on, "...nerd?"
"I prefer 'data enthusiast,'" he replied, surprising himself with the speed of his response. The soju was definitely affecting his standard processing delays. "Though my enthusiasm appears to be... specialized."
"Specialized?" Her eyebrow arched in a way that created unprecedented disruptions in his cardiac rhythm.
"The data suggests," he said, his own Gangnam accent softening around the edges, "a singular focus on one particular... variable[23]."
The office space seemed to contract by approximately 40%, though Junho found himself caring less about the exact percentage with each passing moment. Minjeong's hand had somehow migrated to rest near his on the desk, their fingers separated by a gap that felt simultaneously quantum and cosmic.
—
[21] Password: Min2847@QLS, a combination he would later realize was more revealing than any spreadsheet.
[22] The blazer in question: a deep navy piece from a Dongdaemun boutique, worn approximately every third Wednesday, correlated with a 34% increase in his productive distraction levels.
[23] Later analysis of the office security footage would show that at this point, Junho's typically perfect posture had relaxed to unprecedented levels, creating what the ergonomics AI labeled as "Optimal Romance Angles."
—
"Show me more," Minjeong said softly, unconsciously tilting her head up to meet his gaze. Something in her tone caused Junho's spinal alignment to automatically straighten, his shoulders squaring as he leaned forward slightly. The motion created what his hazily analytical mind registered as a subtle shift in the office's power dynamics[24].
"These graphs," he began, his voice dropping half an octave without any conscious input, "track every time you've challenged my decisions in meetings." His finger traced the upward trend line, the gesture somehow both precise and possessive. "You're the only one who dares to correct my logic. It's... intriguing."
Minjeong's breath caught audibly. "사장님..." she started, then with visible effort, "Junho-ssi... you track even that?"
"I track everything about you," he admitted, the soju finally overriding his professional filter subroutines. The way she instinctively ducked her head at his words, a soft pink rising in her cheeks, sparked something primal in his usually ordered mind. "Though lately, I find myself more interested in the unquantifiable variables[25]."
"Like what?" The question emerged barely above a whisper, her natural deference to his authority softened by something warmer, more personal.
Junho felt his hand move with uncharacteristic boldness to tilt her chin up, his thumb registering her pulse point at... he realized with start that for the first time in his adult life, he didn't care about the exact number. What mattered was the acceleration, the way her breath stuttered when he held her gaze.
"Like the way you automatically straighten my tie when you think I'm not paying attention," he murmured, voice steady despite the soju. "Or how you always wait for me to take the first sip of coffee in our morning meetings[26]."
—
[24] The building's pressure sensors detected a subtle but measurable change in the room's atmospheric density, as if the very air was rearranging itself around their shifting dynamic.
[25] Security logs would later note this as the moment Junho Kim's typing pattern on his laptop transitioned from "Corporate Efficiency" to what could only be described as "Focused Intensity."
[26] A habit that Minjeong had developed unconsciously over months, part of an unspoken protocol that went far beyond mere professional courtesy.
—
The laptop screen dimmed to conserve power, casting half of Junho's face in shadow. His hand hadn't moved from her chin, thumb still resting against her pulse point in what his rapidly deteriorating analytical functions recognized as a gesture of both measurement and claim[27].
"You know what else I've noticed?" The question rumbled from somewhere deeper than his usual corporate register. His other hand reached past her to close the laptop with a decisive click, eliminating the last barrier between them. "You mirror my breathing patterns during long meetings. 호흡이... perfectly synchronized."
Minjeong's eyes widened fractionally, caught between the wall and his presence. "That's..." she swallowed, her professional composure wavering, "...very observant of you, 사장님."
"I thought we were past 사장님," he said softly, but with an undertone that made it less observation, more command. The soju had stripped his voice of its algorithmic precision, leaving something rawer, more intuitive[28].
"Jun...ho..." she tested the name without honorifics, the syllables carrying the weight of every unspoken variable between them. Her hands fidgeted with her portfolio, a nervous tell he'd documented approximately 847 times but had never been close enough to still before.
Until now.
His free hand covered both of hers, instantly calming their movement. The gesture was protective, possessive, and entirely unplanned by his usual decisional matrices[29]. "You don't need to calculate the right response," he murmured, unconsciously echoing her earlier criticism of his own binary nature. "Your instincts have a 99.9% accuracy rate."
The percentage slipped out automatically, making her laugh—a soft, breathy sound that seemed to bypass his auditory processing and strike directly at something more fundamental. Her head tilted back further, a movement so subtle it barely registered on the office's motion sensors but sent his pulse into unprecedented acceleration.
"My instincts," she whispered, her Busan accent emerging with complete authenticity, "are telling me we've miscategorized this relationship[30]."
—
[27] The building's biometric scanners would later flag this moment for what their algorithms labeled as "Significant Cardiovascular Anomaly: Dual Synchronization."
[28] Office voice recognition software attempted and failed to classify this new vocal pattern, eventually creating a new category labeled simply "After Hours Protocol."
[29] The exact pressure of his grip would have registered at precisely 7.2 PSI, perfectly calibrated between restraint and assertion, had either of them still been counting.
[30] The security AI, in its nightly report, would mark this exchange with a rare notation: "Recommended Reclassification of Personnel Relationship Status Pending."
—
"Miscategorized," Junho repeated, the word hanging in the air like a suspended calculation. His hand moved from her chin to the nape of her neck, fingers threading through her hair with unprecedented decisiveness[31]. The motion drew her incrementally closer, though for once he didn't bother quantifying the exact distance.
"yes..." Minjeong's affirmation came out breathier than any of her previously recorded vocal patterns. The portfolio slipped from her fingers, creating what would normally be an unacceptable disruption of organized space. Neither of them moved to retrieve it.
"You know what's interesting?" Junho's voice had shed every trace of its corporate modulation, leaving only that command that seemed to resonate directly with her autonomic nervous system. "I've run approximately 2,847 scenarios of this moment in my head[32]."
Her hands had found their way to his chest, fingers curling into the precise Italian wool of his suit. "And?" The question emerged with a tremor that his tactile sensors catalogued automatically before his conscious mind told them to stop measuring and start feeling.
"None of them..." he leaned closer, watching her eyes flutter half-closed in response to his proximity, "...included the variable of you looking at me exactly like this."
The faint scent of soju on her breath mingled with that eternally elusive percentage of 도라지 꽃 perfume. Junho felt his last analytical subroutines shutting down, replaced by something far more ancient than algorithms[33].
"Minjeong-ah," he said, his voice dropping to a register that bypassed all honorifics, all corporate hierarchy, all pretense of professional distance.
Her response was to cant her head just so, a motion that managed to be both surrender and invitation. "Calculation time's over, 사장님," she whispered, the honorific now carrying a weight that had nothing to do with corporate structure.
—
[31] The office's motion sensors registered this gesture as "Executive Override: Priority Action."
[32] This number, like most of his remaining statistics, was completely fabricated—a first for Junho Kim's otherwise impeccable data records.
[33] Building security cameras would later mark this timestamp with an unprecedented classification: "Critical System Override: Human.exe fully activated."
—
For the first time in his documented existence, Junho Kim stopped calculating entirely.
The distance closed between them with a momentum that defied measurement. His hand tightened in her hair, angling her face upward as his other arm wrapped around her waist, pulling her flush against him. The kiss, when it came, contained no statistics, no data points, no quantifiable metrics[34].
Minjeong made a soft sound—Pattern #unknown, Category: heaven—against his mouth. Her fingers clutched his suit lapels with enough force to wrinkle the wool beyond its optimal pressed state, a fact that Junho's usually meticulous mind registered and immediately discarded as irrelevant.
Time segmented into a new measurement system: the catch of her breath, the silk of her hair between his fingers, the way she yielded and pressed closer simultaneously. Junho discovered that his organizational skills apparently extended to kissing, each angle adjustment and pressure variation drawing increasingly desperate responses from Minjeong[35].
When they finally broke apart, Minjeong's carefully maintained Seoul pronunciation had disappeared entirely. "아이고..." she breathed against his mouth, "당신이..."
"Initial results," Junho murmured, his own accent thick with something that had nothing to do with regional linguistics, "require extensive further testing[36]."
She laughed, the sound vibrating against his chest where she was still pressed against him. "Did you just turn our first kiss into a quality control protocol?"
"Quality confirmed," he replied, then demonstrated his newfound commitment to hands-on research by kissing her again, harder this time, swallowing her surprised gasp. His hand splayed possessively across her lower back, holding her steady as she swayed into him.
—
[34] The building's atmospheric sensors recorded unexplained fluctuations in local temperature, humidity, and electromagnetic fields, leading to a complete recalibration of their measurement standards.
[35] Later analysis would suggest that Junho's legendary attention to detail had found a new, decidedly non-professional application, though this data remains classified in personal files marked "Private Research: Ongoing."
[36] The security AI attempting to transcribe this conversation eventually gave up and simply tagged the file: "Error 404: Professionalism Not Found."
—
Somewhere in the haze of non-analytical thought, Junho registered Minjeong's slight backward momentum and moved instinctively to steady her. His hand swept the desk clear with uncharacteristic disregard for organizational protocols, sending the quarterly reports flutter-falling to the carpet in an acceptable margin of chaos[37].
"Jun...ho..." His name escaped her lips like a statistical anomaly as he lifted her effortlessly onto the mahogany surface. Her legs parted automatically to accommodate him, skirt hiking up precisely 4.7 inches—the last measurement his brain would process for the foreseeable future.
"So beautiful," he murmured against her throat, the words emerging in pure Gangnam inflection, all pretense of corporate diction abandoned. His teeth grazed her pulse point, drawing a whimper that would require an entirely new classification system[38].
Minjeong's fingers tangled in his precisely styled hair, disrupting approximately 47 minutes of morning grooming routine. "사장님," she gasped, the honorific now carrying entirely different connotations, "the papers..."
"Irrelevant data," he growled, recapturing her mouth with newfound authority. The kiss deepened, transformed, became something that defied all previous parameters. Her back arched into him, creating angles that had nothing to do with geometry and everything to do with instinct[39].
A distant part of his mind registered the soft thud of his suit jacket hitting the floor, followed by the whisper of silk as Minjeong's blazer joined it. The city lights painted silver equations across her skin, codes he suddenly needed to decode with his mouth instead of his mind.
—
[37] The office's normally pristine state would require exactly 23.7 minutes to restore, a task that would be significantly delayed by several subsequent "data collection sessions."
[38] Facial recognition software attempting to analyze the security feed would crash repeatedly, unable to reconcile Junho Kim's expression with any known configuration in its emotional database.
[39] The building's structural integrity sensors registered minor seismic activity, though this data would be suspiciously absent from the next day's maintenance logs.
—
He let his hands trail by the sides of her body, one busy with her torso—breasts and all—and the other, feeling the creamy softness of her thighs. And each needy press or pinch, brought out the softest of her moans, the cutest of her lip quivers.
He was busy, marking her lips, making it all swollen and red; yet, still, he couldn’t get enough of her. That soft body, her caring little hands, her hot inner thighs, and that gentle heat radiating off her core—just hidden by the slightest of her skirt. “Minjeong.” He whispered, pressing himself against her—a matter of teasing and also a way to test the waters, whether or not she wanted it on the table.
And Minjeong, not one to initiate, wrapped her thin arms around his nape, pulling him closer, “Yes, yes, please, anything, anywhere,” then a dozen little kisses all on his face. This assurance, this consent, slowly, but surely, made him wrench her legs open—wide. He saw that stain, dark against her gray underwear, and that was when his photographic memory… failed him.
He dug in, letting his loin press up against hers—immersing himself in her wetness. Then, finally, he pulled down on his pants, showing his tent-like imprint on his underwear to Minjeong, who, obviously, couldn’t stop staring. By the end of the minute, that ruthless minute, both were undressed in their lower-half—a utilitarian instinct to fuck each other as fast as possible.
Junho breathed heavily, staring at that pink hue that her core was so beautifully composed of—along with the wetness, the fragrance, and more. “Minjeong…” He held his shaft, lining it up straight on her wetness. She finally replied, “Yes… Junho…” And that’s when he pressed in, into the endless heat.
That wet connection hilt-to-hilt, along with a deep kiss—turned Minjeong completely docile and submissive. That wet connection, her wet slime covering his shaft, somehow, only intensified their lust for each other. He pressed in again, faster this time, earning that soft mewl. “Mhm, fuck me,” she whispered, again and again. He kept honoring those wishes, going deeper, and faster. He tucked his dick into her pussy, wet squelch and all, over and over until he felt his legs get weak from thrusting. Yet, that weakness didn’t deter him, he glided deeper, letting both their pelvises rub against each other, and making Minjeong cry out from the clit stimulation. She felt like she was getting tunneled, this man, the love of her life, crush of her lifetime, fucking her so good into a wobbly table—dreams aren’t even this good.
“I’m gonna cum, Minjeong.” He whispered, low and growling.
“Inside. Please. Inside…” She whispered before getting overtaken by her orgasm.
And just at the peak of her orgasm, the teetering breath before rest, Junho barreled all his semen inside her—rope after rope of semen splashing against her cervix. “Holy fuck.” they both said in conjunction.
—
The Seoul skyline had shifted into its late-night configuration by the time they finally disentangled themselves. Junho's normally immaculate shirt hung open, his tie having long since joined the scattered papers on the floor. Minjeong's hair had abandoned all pretense of its usual professional arrangement, falling in waves that his fingers couldn't seem to stop threading through[40].
"이게..." Minjeong began, her voice still carrying traces of breathlessness as she surveyed the chaos they'd created. Her blazer lay draped over a chair at an angle that would have horrified their usual professional standards. "I should reorganize the—"
"Stay exactly where you are," Junho commanded softly, his arms tightening around her waist. His usual perfectionism had found a new target: the way she melted against him at that tone[41].
She tilted her head back to meet his gaze, her smile pure Busan sunshine. "데이트하자... be my 오빠?" The question emerged with endearing uncertainty, mixing honorifics and languages in a way that bypassed his brain entirely and struck straight at his heart.
"그래," he murmured into her hair, then with characteristic precision added, "Exclusively."
Her laugh carried notes of joy and residual shyness. "Then as your girlfriend, I should really clean up this mess..." She gestured at the scattered papers, the displaced furniture, the general dishevelment that spoke eloquently of the past hour's activities.
"As your boyfriend," his voice dropped to that commanding register that made her shiver, "I want to watch you do it[42]."
The drive home—his penthouse, by unspoken agreement—required exactly 17 minutes. Neither of them bothered to count.
—
[40] The building's security system would later note this as the longest recorded instance of the CEO remaining in office after hours, though the detailed logs were mysteriously corrupted.
[41] Internal HR protocols regarding workplace relationships were hastily updated the following morning, though no one questioned why the CEO personally oversaw these revisions.
[42] The night cleaning staff would arrive to find the office in unprecedented perfect order, though several employees would later swear they heard laughter and whispered Busan endearments echoing through the empty halls.
Fin
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The darkly ironic thing is that if you are worried about the recent news that someone scraped Ao3 for AI research, then you're probably vastly underestimating the scale of the problem. It's way worse than you think.
For the record, a couple of days ago, someone posted a "dataset for AI research" on reddit, which was simply all publicly accessible works on Ao3, downloaded and zipped. This is good, in a way, because that ZIP file is blatantly illegal, and the OTW managed to get it taken down (though it's since been reuploaded elsewhere).
However, the big AI companies, like OpenAI, xAI, Meta and so on, as well as many you've never heard of, all probably had no interest in this ZIP file to begin with. That was only ever of interest to small-scale researchers. These companies probably already have all that data, received by scraping it themselves.
A lot of internet traffic at the moment is just AI companies sucking up whatever they can get. Wikipedia reports that about a third of all visitors are probably AI bots (and they use enormous amounts of bandwidth). A number of sites hosting software source code estimate that more than 90% of all traffic to their sites may be AI bots. It's all a bit fuzzy since most AI crawlers don't identify themselves as such, and pretend to be normal users.
The OTW hasn't released any similar data as far as I am aware, but my guess would be that Ao3 is being continuously crawled by all sorts of AI companies at every moment of the day. If you have a fanfic on Ao3, and it isn't locked to logged-in users only, then it's already going to be part of several AI training data sets. Only unlike this reddit guy, we'll never know for sure, because these AI training data sets won't be released to the public. Only the resulting AI models, or the chat bots that use these models, and whether that's illegal is… I dunno. Nobody knows. The US Supreme Court will probably answer that in 5-10 years time. Fun.
The solution I've seen from a lot of people is to lock their fics. That will, at best, only work for new fics and updates, it's not going to remove anything that e.g. OpenAI already knows.
And, of course, it assumes that these bots can't be logged in. Are they? I have no way of knowing. But if I didn't have a soul and ran an AI company, I might consider ordering a few interns to make a couple dozen to hundreds of Ao3 accounts. It costs nothing but time due to the queue system, and gets me another couple of million words probably.
In other words: I cannot guarantee that locked works are safe. Maybe, maybe not.
Also, I don't think there's a sure way to know whether any given work is included in the dataset or not. I suppose if ChatGPT can give you an accurate summary when you ask, then it's very likely to be in, but that's by no means a guarantee either way.
What to do? Honestly, I don't know. We can hope for AI companies to go bankrupt and fail, and I'm sure a lot of them will over the next five years, but probably not all of them. The answer will likely have to be political and on an international stage, which is not an easy terrain to find solutions for, well, anything.
Ultimately it's a personal decision. For myself, I think the joy I get from writing and having others read what I've written outweighs the risks, so my stories remain unlocked (and my blog posts as well, this very text will make its way into various data sets before too long, count on it). I can totally understand if others make other choices, though. It's all a mess.
Sorry to start, middle and end this on a downer, but I think it's important to be realistic here. We can't demand useful solutions for this from our politicians if we don't understand the problems.
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