J E L L Y E N T
How the Police Spend AI to Tune and Title You

Surveillance is changing into an an increasing selection of controversial utility given the immediate scuttle at which AI programs are being developed and deployed worldwide.

Whereas protestors marched via the metropolis disturbing justice for George Floyd and an dwell to police brutality, Minneapolis police knowledgeable surveillance instruments to title them. With appropriate hours to sift via hundreds of CCTV digicam feeds and other dragnet recordsdata streams, the police grew to change into to a unfold of computerized programs for relieve, reaching for recordsdata silent by computerized license plate readers, CCTV-video prognosis instrument, commence-offer geolocation instruments, and Clearview AI’s controversial facial recognition machine. Incorrect above the metropolis, an unarmed Predator drone flew in circles, geared up with a in actuality honest graceful digicam first pioneered by the police in Baltimore that is unparalleled of figuring out folks from 10,000 toes inside the air, offering superb-time surveillance of protestors throughout the metropolis. Nonetheless Minneapolis may maybe maybe well now not be an isolated case of mistaken policing and abilities bustle amok. As a change, or now not it is fragment of a bigger design by the utter, native, and federal govt to invent surveillance dragnets that pull in folks’s emails, texts, financial institution files, and smartphone living as well to their faces, actions, and bodily whereabouts to equip regulation enforcement with unparalleled instruments to await and title People with out a warrant.

The federal govt has labored hand in glove with utter and native police to assemble the form of pervasive and superb surveillance programs that the Founder Fathers explicitly sought to reject with the Fourth Amendment. Explicitly written to tie the police powers of the utter, the Fourth Amendment grew out of the colonists’ skills with brokers of the British Crown who, so as to designate out rampant smuggling inside the colonies, traditional “writs of aid” to transfer attempting any American and confiscate his or her necessary paperwork and possessions with out a warrant and even an arrest. The Fourth Amendment forces the authorities to assemble proof that a suspect dedicated in opposition to the regulation (identified as possible living off) and a warrant signed by a mediate stating what paperwork or recordsdata they salvage they’ll assemble after they search him or her. Nonetheless, these protections non-public eroded inside the digital age. Abilities and lax recordsdata and privateness regulations non-public enabled the upward thrust of dragnet surveillance programs that ceaselessly search and score away necessary recordsdata and items from People with out a warrant or in opposition to the regulation dedicated, counting on computerized programs to attain irregular-day, digital writs of aid on People.

Surveillance: Or now not or now not it is Right here Already

List by Scott Webb from Pexels

How Police expend Machine Studying

Admire in Minneapolis, utter and native police all over the build aside within the teach the US expend a unfold of computerized instruments, at the side of facial recognition, license plate readers, StingRays (cell-utter simulators), predictive policing, video prognosis instruments and more, to assemble developed programs of surveillance with small oversight, all constructed largely out of the closing public’s note no topic their attain into the lives of routine People. In Miami, a protestor who allegedly threw something at law enforcement officials used to be as quickly as later identified and arrested using Clearview AI’s facial recognition machine, even supposing the police story makes no degree out of using the abilities. In Baltimore, the police relied on StingRays, facial-recognition instrument linked to the metropolis’s CCTV cameras, and a surveillance drone unparalleled of figuring out folks from bigger than 10,000 toes above the metropolis to gift veil the Freddie Grey protests in superb-time. In 2018, in accordance with more protests and riots, Baltimore police traditional facial recognition via the metropolis’s CCTV digicam community to title and later arrest protestors. Equally, the Unique York Police Division arrested bigger than 3,000 folks using facial recognition skills inside the most significant five-and-a-half of years of this form. Surveillance drones first flown by the FBI all via the Freddie Grey protests continue to prowl Baltimore’s skies to for the time being. A non-public contractor blandly identified as Energy Surveillance Applications (PSS) has been flying a surveillance drone over the metropolis since 2016 and claims the footage will be linked with the metropolis’s CCTV cameras to living crime and title the suspects in superb-time. “From a airplane flying overhead, unparalleled cameras assemble aerial pictures of the entire metropolis. Photos are snapped every second, and the airplane will be circling the metropolis for up to 10 hours a day.” In accordance to the ACLU, the pervasive and superb surveillance machine in-constructed Baltimore grew to change into the “technological identical of inserting an ankle GPS [Global Positioning Service] gift veil on every body in Baltimore.” When reports about this form surfaced, Baltimore shuttered this form in 2016. Nonetheless, in April of this twelve months, the metropolis reversed route and awarded PSS a contract to fly three surveillance drones over Baltimore but all but again, with the blessing of a district courtroom mediate.

Researchers would say to mediate that their work in AI or robotics will be separated from politics of the second. They are atrocious. With out the decision and funding for the advancement of AI in necessary areas akin to biometric recognition and mountainous recordsdata prognosis by regulation enforcement, researchers at Microsoft, Amazon, and Palantir would now not be at the cutting-fringe of surveillance programs. Unique reports elaborate the mammoth community of surveillance instruments, computerized programs, and databases police departments non-public constructed that rely on compare and abilities from industrial companions to fuse and analyze penal complex files, metropolis-broad cameras programs, and a firehose of recordsdata about an recount person’s on-and offline existence. Let’s dispute, in Unique York Metropolis, Microsoft has labored fastidiously with the NYPD to make a metropolis-broad surveillance platform identified as Domain Consciousness Concept (DAS) since 2009. Cramped print concerning the platform are most efficient now coming to mild DAS looks to be in actuality essentially the most entire surveillance machine in a most well-identified US metropolis to this degree. The machine attracts in recordsdata to divulge three core capabilities: superb-time alerting, investigations, and analytics. An equivalent to Alibaba’s “metropolis-brain” initiatives, DAS expands recordsdata sequence and centralizes recordsdata prognosis into an integrated platform, rising a digital perch from which the police can score a look for at the entire metropolis.

In accordance to The Intercept, which broke the memoir and got slides from Microsoft and the NYPD detailing the DAS platform, the machine first ingested recordsdata from CCTV cameras, environmental sensors (e.g., to detect radiation), and automatic license plate readers. The community, on the opposite hand, lickety-split expanded, counting on computerized programs to be triumphant in deeper into the metropolis. “By 2010, it started at the side of geocoded NYPD files of complaints, arrests, 911 calls, and warrants ‘to present context to the sensor recordsdata.’ Thereafter, it added video analytics, automatic sample recognition, predictive policing, and a cell app for regulation enforcement officials. By 2016, the machine had ingested 2 billion license plate pictures from ALPR cameras (3 million reads per day, archived for five years), 15 million complaints, bigger than 33 billion public files, over 9,000 NYPD and privately operated digicam feeds, movies from 20,000-plus body cameras, and more. To make sense of it all, analytics algorithms take connected recordsdata, at the side of for predictive policing.” For bigger than a decade, Microsoft and the NYPD were rising a metropolis-broad surveillance platform that fuses multiple channels of both superb-time and historical recordsdata with AI to route of and make sense of it all. Computerized instruments of recordsdata sequence and prognosis work shoulder to shoulder with native and nationwide regulation enforcement to elongate their attain in cities throughout the US.

Nonetheless, the surveillance programs constructed by police in Unique York, Baltimore, and Minneapolis are now not isolated examples of mistaken policing in about a metropolitan police departments, on the opposite hand are fragment of an even bigger sample of an rising surveillance instruments that is granting regulation enforcement unparalleled powers to compare out, search, and score away the mild recordsdata of American residents with out a warrant and even suspicion of in opposition to the regulation. Even getting a depend of which police departments expend what instruments is sophisticated ensuing from varied these programs are shrouded in secrecy and necessary parts come to mild from media reports after the fact. Primarily essentially the most entire accounting to this degree used to be as quickly as for the time being compiled by the Electronic Frontier Foundation (EFF), which combed via hundreds of public files to invent an “Atlas of Surveillance.” The draw offers in actuality essentially the most detailed stare upon the broad vary of computerized surveillance instruments at the disposal of utter and native regulation enforcement all throughout the country. Amongst the numbers are see-popping: at closing 1074 jurisdictions and/or police departments expend drones; 360 expend facial recognition; 64 expend StingRays; 24 expend video prognosis and/or laptop imaginative and prescient instruments (computerized recordsdata prognosis instruments); and 26 say predictive policing measures.

In a most modern twist, these surveillance programs are initiating to seep out of metropolitan police departments and into the suburbs. In accordance to the EFF, 1,328 police departments non-public partnerships with Amazon’s Ring position safety digicam machine, giving police obtain entry to–and in some conditions are residing obtain entry to–to recordings from non-public property with out getting a warrant first. Everyday residents and neighborhood score a look for at programs are working hand in hand with native and nationwide regulation enforcement to invent a in an identical tool pervasive and superb surveillance machine out of doorways the metropolis as neatly. These Ring partnerships lay naked the incentives of non-public industry and regulation enforcement align to rigidity the explosive boost of the surveillance industry. Let’s dispute, the arena video surveillance market is anticipated to be triumphant in $144 billion by 2027 from about $40 billion in 2019. As the Wall Avenue Journal well-known, the surveillance industry grew from virtually “$0” in 2001 to the multibillion-buck world build aside it within the marketplace’s for the time being. In pursuit of more recordsdata and digital eyes and ears on its residents, the US govt is among the many market’s absolute top gamers: even supposing estimates of the price of govt surveillance programs are sophisticated to make, in 2016 the Washington Put up reported that the FBI’s funds integrated $600-$800 million for its Put aside of job of Licensed Know-ideas to make high-tech surveillance instruments, at the side of ideas to wreck all kinds of digital encryption.

List by Eric Santoyo from Pexels`

How the Authorities makes expend of Machine Studying

Admire regulation enforcement in Unique York, the US govt is gathering an unparalleled quantity of recordsdata about its residents using an array of computerized surveillance instruments. Missing regulations from Congress unifying the states’ approaches into a nationwide framework to ebook recordsdata sequence, The United States’s privateness and recordsdata regulations are a patchwork of incomplete and competing tricks, and offer small restraint or oversight over the police’s sequence of inside most recordsdata (the exception being Illinois, the most significant utter to pass a regulation requiring consent to amass biometric recordsdata, which used to be as quickly as expansively outlined to consist of fingerprints, face scans, iris scans, and more, and that the tricks be deleted at a later time). On high of the official streams of recordsdata coming in from instruments love computerized license plate readers or CCTV cameras, regulation enforcement maintains a vary of databases, change which now count upon computerized sequence and processing to salvage insights from the sheer quantity of recordsdata the police now ingest. Dispute, native, and nationwide police non-public obtain entry to to bigger than 20 databases that duvet an recount person’s penal complex historical previous and his or her interactions with the utter (e.g., drivers licenses) to invent a “sample of existence” of the targeted recount person, who may maybe maybe well per likelihood presumably moreover honest or may maybe maybe well per likelihood presumably moreover honest now not non-public dedicated in opposition to the regulation.

To assemble an thought of the volume of recordsdata the authorities has silent on People, assemble the Nationwide Crime Identification Center (NCIC), the FBI’s centralized crime database. These files consist of such things because the say of communications akin to cell phone calls and emails; scientific diagnoses, therapies, and prerequisites; Recordsdata superhighway browsings; financial transactions; bodily areas; ebook shop and library purchases, loans, and browsings; other retailer purchases and browsings; and media viewing preferences. Every native and federal regulation enforcement moreover good buy biometric databases, at the side of these containing blood samples, fingerprints, facial recognition, and DNA samples (as well to these maintained by police, user genetics databases akin to GEDMatch are proving treasured sources of recordsdata, love inside the Golden Dispute Killer case). Few controls or oversight exist to constrain how the police expend and portion the tricks as quickly as or now not it is silent.

As quickly because the authorities has got your recordsdata legally (and each so ceaselessly illegally), that recordsdata will be shuttled between a vary of utter, native, and federal companies. On the nationwide stage, fusion services and products abet because the link between native and federal police so as that recordsdata and intelligence instruments can legally waft in both directions. Despite the fact that they are young, one other post-9/11 introduction, the authorities already operates 76 such services and products  throughout the country. Fusion services and products receive recordsdata from a vary of sources–native, utter, and federal regulation enforcement as well to utter of initiating safety companions and non-public entities–functioning as, “regional focal parts for gathering and sharing govt and non-public recordsdata linked to ‘threats.’” Certainly, DHS emphasizes that graceful right here’s now not the federal govt intruding into utter and native affairs, on the opposite hand that, “In most modern years, companions at all ranges of govt non-public reiterated the necessity for unified and coordinated give a assemble to for fusion services and products.” Despite the fact that decentralized and diffuse, fusion services and products are the focal parts of a rising, mass surveillance community that connects utter and native police with the instruments and recordsdata intelligence of the nationwide note companies. Prison tricks enforcement at all ranges of govt portion recordsdata to invent the entire pool within the marketplace to them with out small oversight or transparency about how the tricks is traditional. Let’s dispute, the utter of Maryland gave the FBI obtain entry to to its databases of seven million drivers license pictures and 3 million mugshots, leaving 10 million Marylanders commence to unchecked facial recognition searches by federal brokers. As quickly as inside the machine, you may maybe per likelihood presumably well be in a perpetual line-up, in most cases a possible suspect. The Fourth Amendment fashions a high graceful bar for regulation enforcement to transfer attempting you, requiring possible living off and a warrant for the authorities to obtain entry to your, “persons, properties, papers, and outcomes.” Nonetheless, irregular skills has carved out loopholes inside the Fourth Amendment that allow the form of pervasive and superb surveillance the Founders meant to forestall with the Invoice of Rights.


Predictive Policing

Predictive policing programs are one other illustrative occasion exhibiting how recordsdata, surveillance skills, and a machine of computerized policing work collectively to notice on, search, and, in a roundabout design, take a watch on Individuals who non-public now not dedicated or been convicted of in opposition to the regulation. Predictive policing is premised on the hypothesis that historical recordsdata of crime, demographics, socioeconomics, and geography will be traditional to forecast future incidents. Shimmering the teach crime is at threat of happen but all but again, police are trying to intervene beforehand and forestall it. Broadly there are two kinds of “heat maps” produced by predictive policing items: utter-in actuality in actuality essentially based, which makes expend of much less recordsdata to amass a stare upon to manual obvious of systemic pitfalls of counting on crime and demographic recordsdata and surges police into utter areas, and person-in actuality in actuality essentially based, which tracks and creates a itemizing of “high-threat” folks by combining an recount person’s penal complex historical previous with an prognosis of their social community. Nonetheless, most predictive policing programs are systemically racist in operation in big fragment since the tricks they’re fed are biased to duplicate superb world racial inequalities. Despite the fact that or now not it is ceaselessly billed as “crime recordsdata,” the tricks that virtually all policing algorithms are constructed on is de facto arrest recordsdata, which is additional biased ensuing from folks of coloration are arrested at higher rates than white folks no topic committing an identical rates of crime. Predictive policing programs that count upon crime or other historical recordsdata inevitably make necessary blind spots and ceaselessly reproduce the very prejudices of the penal complex justice machine that AI used to be as quickly as brought in to tackle.

No topic concerns about structural bias and overpolicing, predictive policing programs are spreading–the Atlas of Surveillance pinpoints 26 jurisdictions that expend predictive policing for the time being. Chicago ran one of in actuality essentially the most entire and studied predictive policing programs inside the country from 2012, till it shuttered this form in January of this twelve months after going via public stress over how intrusive and ineffective the machine used to be as quickly as. Impressed by an epidemiological model of violent crime developed by Yale researchers, the Chicago Police Division (CPD) program aimed to title high-threat folks that were vectors of violent crime. The algorithm drew upon penal complex and historical recordsdata to assemble maps that may maybe degree to the teach future crimes were at threat of happen and recordsdata and matched with social community prognosis to assemble a “strategic immediate checklist” of these presumably to shoot anybody or be shot themselves. Tracing the route of violent crime requires gathering recordsdata concerning the historical previous or geography of crime in any metropolis as well to figuring out utter folks. That’s an mountainous quantity of recordsdata in both mixture and granular non-public that regulation enforcement is feeding into predictive policing algorithms. Monitoring what recordsdata is silent, the teach or now not it is saved, or who has obtain entry to to it can well be sophisticated, even for the metropolis govt. Let’s dispute, police traditional a an identical predictive policing model in actuality in actuality essentially based in Unique Orleans, counting on social community prognosis to tool connections, “folks, areas, autos, weapons, addresses, social media posts, and other indicia in previously siloed databases…. After coming into a query term — love a partial license plate, nickname, deal with, cell phone quantity, or social media deal with or post — NOPD’s analyst would overview the tricks scraped by Palantir’s instrument and mediate which contributors are at the closing threat of both committing violence or changing into a sufferer, in accordance to their connection to identified victims or assailants.” Metropolis council contributors came throughout out about this form after discovering out about it inside the newspapers.

In 2013 the researchers from the RAND Firm, a social science mediate tank, were granted unparalleled obtain entry to to the CPD’s predictive policing program, sitting in on design conferences and driving with officers for months. No topic the technological sophistication of the instruments traditional, the RAND researchers peep concluded that the predictive policing program, “used to be as quickly as ineffective, and a ideal are trying in opposition to published that the checklist, some distance from being narrowly targeted, integrated every body arrested or fingerprinted in Chicago since 2013.” After all, the researchers came throughout predictive policing ended in no most well-identified distinction in assemble or violent crime rates. In utter of informing a machine centered on combating and mitigating crime, the checklist used to be as quickly as traditional to are trying folks for arrests. Despite the fact that predictive policing programs were proven to be ineffective and systemically discriminatory, their expend is immediate spreading in cities throughout the US. In response, some cities akin to San Francisco, Boston, and Portland non-public targeted pieces of the police’s dragnet surveillance machine, banning using facial recognition by the closing public authorities. Nonetheless in quite a lot of of the country, these instruments are largely unregulated by the legislature, constrained by lax expend of rigidity regulations and policy turns into how the authorities makes expend of the abilities. Throughout the hands of regulation enforcement, these unheard of powers of search and seizure are knowledgeable in opposition to intelligent folks in take to combating crime.

Given the dramatic expansion of surveillance by native and nationwide regulation enforcement, Congress has even handed a series of bills that may maybe rein in biometric recognition programs and living aside an oversight mechanism into these surveillance programs. Remaining month, Senators Ed Markey (D-MA) and Jeff Merkley (D-OR) launched regulations that may maybe ban using facial and other biometric recognition skills by federal companies as well to make federal and utter funding for regulation enforcement contingent on enacting an identical bans. Senator Merkley moreover launched the Algorithmic Accountability Act with Senator Cory Booker in February, which may maybe maybe well utter the Federal Commerce Price to write tricks for companies below its jurisdiction to peep and appropriate their algorithms if they make an harmful, biased, or discriminatory decision impacting People. Every are now not going to pass. With out a framework from Congress, on the opposite hand, the closing public is left inside the pointless of night taking a look for to revive the surveillance powers of the lisp to the steadiness the Founders intended.

Written to tie the hands of the utter, the Fourth Amendment of the US structure protects residents from unreasonable searches and seizures with out possible living off and a warrant that lays out namely what the police mediate they are able to moreover honest assemble. Nonetheless skills has opened the door to mass surveillance, enabling governments to invent the very dragnet programs that give the authorities a image of an recount person’s “sample of existence” with out a warrant or possible living off. Remaining twelve months, it used to be as quickly as published that Google is storing detailed living historical previous on hundreds and hundreds of other folks in its “Sensorvault,” which allowed these with obtain entry to to see the utter historical previous of anybody with an Android smartphone or Google Maps build aside in on their cell phone inside a recount time and utter. Police at all ranges of govt were alive to to bear the flexibility so to add Sensorvault to their investigative toolkit.  Google reported processing 180 of these “geo-fencing” warrants per week for the FBI and police departments in North Carolina, California, Florida, Maine, and Minnesota (and these are appropriate these we all know about). As the EFF parts out, police attain now not title a suspect and even a procedure instrument of their geo-fenced warrants, as a change working backward from a recount time and utter the teach in opposition to the regulation occured. And but, because the Supreme Court docket well-known in 2018, this vogue of whisk recordsdata will be traditional to paint a detailed portrait of the procedure’s existence, offering, “an intimate window into an recount person’s existence, revealing now not most efficient his recount actions, on the opposite hand via them his ‘familial, political, expert, spiritual, and sexual associations.’” With out naming a suspect or focused on a recount instrument, geo-fence warrants allow the police to solid a dragnet that ensnares anybody in a recount time and utter. This makes it a fishing expedition–the very form of generalized searches and seizures the 4th Amendment used to be as quickly as meant to forestall.

The post-9/11 nationwide safety surge has constructed an intrusive surveillance utter that conducts the form of pervasive and superb dragnet of searches and seizures  the Fourth Amendment used to be as quickly as written to forestall. Aided by computerized skills, regulation enforcement at all ranges of govt non-public gathered an unparalleled quantity of recordsdata about People, change whom non-public dedicated no crime. The usage of facial recognition, computerized license plate readers, StingRays, unarmed Predator drones, geofenced warrants getting entry to Google’s SensorVault, and geolocation from folks’s social media accounts and smartphones, police throughout the country ceaselessly note on and title American residents with small pretext previous the invisible safety utter’s suspicion of in opposition to the regulation. Collectively, skills and regulation enforcement non-public hollowed out the 4th modification, rising the very superb and pervasive surveillance machine the Invoice of Rights used to be as quickly as written to offer protection to. The hazards of an invisible and omnipresent safety utter are changing into an increasing selection of obvious. Remaining month, it used to be as quickly as published the Division of Put aside of foundation Security accredited the residence surveillance of protestors and journalists, teaching a machine generally reserved for hunting terrorists in one other country with drones on American residents exercising their First Amendment rights. DHS went as some distance as to assemble intelligence reports on a journalist from the Unique York Events and a ideal knowledgeable for the nationwide safety regulation weblog “Lawfare.” These are appropriate about a incidents (that we all know of), on the opposite hand they bear to abet as stark warnings that the overbuilt surveillance utter may maybe maybe well per likelihood presumably be slipping out of the closing public’s take a watch on.

Protests continue to roil cities throughout The United States as protestors and police meet in an increasing selection of confrontational programs. A heated spring gave methodology to a hot and violent summer season. In metropolis after metropolis, from Portland and Unique York Metropolis your entire manner all of the manner down to exiguous Kenosha, Wisconsin, police spoke aid to these protests–that are in actuality identified as one of many greatest mass social actions in American historical previous–by cracking down on the protestors and clearing the streets by rigidity. Much much less with out concerns seen, amid the pandemonium, were the computerized programs regulation enforcement rely on to coordinate their response to the protests, note on them, title them, and later stumble on them for arrest. Nonetheless police may maybe maybe well per likelihood presumably be assured inside the dragnet surveillance programs being constructed throughout the country to relieve them note on and procedure protestors and rioters. Whether or now not by drone circling 10,00 toes above the metropolis, facial-recognition algorithms at the relieve of every CCTV digicam lens, a replay of your smartphone living historical previous in Google’s sprawling SensorVault, the police bear no scarcity of choices to point out to if they’re taking a look for to stumble on and title you.


Author Bio

Bryan McMahon is an AI Policy Researcher at NEDO, the Jap govt’s science and abilities R&D neighborhood, the teach he analyzes US and world AI policy alternatives. He earned a B.A. in Biology from Duke University, the teach he studied science policy in its Science and Society Program, a compare institute sitting at the intersections of science, regulation, and policy. Beforehand, his work on man made intelligence policy has been printed inside the Journal of Science Policy and Governance as well to a most modern piece inspecting the tricks governing so-identified as ‘killer robots’ in Skynet As of unhurried.

Acknowledgments

The principle image from this piece is a represent by Francesco Ungaro from Pexels.

Citation

For attribution in tutorial contexts or books, please cite this work as

Bryan McMahon, « How the Police Spend AI to Tune and Title You », The Gradient, 2020.

BibTeX quotation:

@article{

mcmahon2020surveillance,

creator = {McMahon, Bryan},

title = {How the Police Spend AI to Tune and Title You},

journal = {The Gradient},

twelve months = {2020},

howpublished = {url{https://thegradient.pub/how-the-police-expend-ai-to-note-and-title-you/ } },

}

At any time whilst you enjoyed this piece and are taking a look for to listen to more, subscribe to the Gradient and note us on Twitter.

Read Extra

Related Post

5 Commentaires

Leave a Comment

Recent Posts

An oil tanker with 60M gallons of oil aboard is all thru the meantime sinking [video]
Amazon’s $23M book about flies (2011)
Google Coral Dev Board mini SBC is now on hand for $100
Glow: Markdown reader for the terminal with a TUI and encrypted cloud stash
The manner you would possibly well abolish your occupation, one entirely extremely contented one year at a time

Recent Posts

An oil tanker with 60M gallons of oil aboard is all thru the meantime sinking [video]
Amazon’s $23M book about flies (2011)
Google Coral Dev Board mini SBC is now on hand for $100
Glow: Markdown reader for the terminal with a TUI and encrypted cloud stash
The manner you would possibly well abolish your occupation, one entirely extremely contented one year at a time
fr_FRFrench
en_USEnglish fr_FRFrench