Ai Photo Quotes

Value versus Cost Economists tend to focus on cost, and, as economists, we are as guilty of that as anyone. The entire premise of our first book, Prediction Machines, was that AI advances were going to dramatically reduce the cost of prediction, leading to a scale-up of its use. However, while that book suggested that the initial uses of AI would be where prediction was already occurring, either explicitly in, say, forecasting sales or the weather, or implicitly in classifying photos and language, we were mindful that the real opportunity would be the new applications and uses that were enabled when prediction costs fell low enough.

Did I really like cooking, or did I just like the way my Instagram photos of home-cooked meals made me look like a balanced, well-adjusted adult? How many of my beliefs and preferences were actually mine, I wondered, and how many had been put there by machines?

touting a “98.6 percent accuracy rate” and an enormous collection of photos unlike anything the police had used before.

there is still no overarching law guaranteeing Americans control over what photos are taken of them, what is written about them, or what is done with their personal data.

Facebook automatically tagging your friends in photos; Apple and Google letting people look at their phones to unlock them; digital billboards from Microsoft and Intel with cameras that detected age and gender to show passersby appropriate ads.

advances in AI are poised to drive dramatic productivity increases and perhaps eventually full automation. Radiologists, for example, are trained to interpret the images that result from various medical scans. Image processing and recognition technology is advancing rapidly and may soon be able to usurp the radiologist’s traditional role. Software can already recognize people in photos posted on Facebook and even help identify potential terrorists in airports.

So, is 100-percent detection of deepfakes hopeless? In the very long term, 100-percent detection may be possible with a totally different approach—to authenticate every photo and video ever taken by every camera or phone using blockchain technology (which guarantees that an original has never been altered), at the time of capture. Then any photo loaded to a website must show its blockchain authentication. This process will eliminate deepfakes. However, this “upgrade” will not arrive by 2041, as it requires all devices to use it (like all AV receivers use Dolby Digital today), and blockchain needs to become fast enough to process this at scale.

In any ranking of near-term worries about AI, superintelligence should be far down the list. In fact, the opposite of superintelligence is the real problem. Throughout this book, I’ve described how even the most accomplished AI systems are brittle; that is, they make errors when their input varies too much from the examples on which they’ve been trained. It’s often hard to predict in what circumstances an AI system’s brittleness will come to light. In transcribing speech, translating between languages, describing the content of photos, driving in a crowded city—if robust performance is critical, then humans are still needed in the loop. I think the most worrisome aspect of AI systems in the short term is that we will give them too much autonomy without being fully aware of their limitations and vulnerabilities. We tend to anthropomorphize AI systems: we impute human qualities to them and end up overestimating the extent to which these systems can actually be fully trusted.

With a comprehensive overview of the properties, advanced filters, rates, availability and both aggregated and native reviews, photos (and a worldwide coverage), why should a user exit the Google SERP and go on an OTA or (God forbid!) a brand.com?

A (good) hotel photo shoot begins way before the photographer even grabs his cutting-edge technology camera. It begins with a meticulous shoot planning. So make sure to hire a pro, who knows the industry (Yeah, I know, everybody has a cousin who’s pretty good with Photoshop and owns an Iphone X, thanks but no, thanks).

When uploading a photo of your hotel online, you are the eyes of your guests.

When uploading a photo of your hotel online, you are the eyes (and the wallet) of your future guests, so don’t take it lightly

It’s easy for you to tell what it’s a photo of, but to program a function that inputs nothing but the colors of all the pixels of an image and outputs an accurate caption such as “A group of young people playing a game of frisbee” had eluded all the world’s AI researchers for decades. Yet a team at Google led by Ilya Sutskever did precisely that in 2014. Input a different set of pixel colors, and it replies “A herd of elephants walking across a dry grass field,” again correctly. How did they do it? Deep Blue–style, by programming handcrafted algorithms for detecting frisbees, faces and the like? No, by creating a relatively simple neural network with no knowledge whatsoever about the physical world or its contents, and then letting it learn by exposing it to massive amounts of data. AI visionary Jeff Hawkins wrote in 2004 that “no computer can…see as well as a mouse,” but those days are now long gone.

For a story on Facebook’s failings in developing countries, Newley Purnell and Justin Scheck found a woman who had been trafficked from Kenya to Saudi Arabia, and they were looking into the role Facebook had played in recruiting hit men for Mexican drug lords. That story would reveal that Facebook had failed to effectively shut down the presence of the Jalisco New Generation Cartel on Facebook and Instagram, allowing it to repeatedly post photos of extreme gore, including severed hands and beheadings. Looking into how the platform encouraged anger, Keach Hagey relied on documents showing that political parties in Poland had complained to Facebook that the changes it had made around engagement made them embrace more negative positions. The documents didn’t name the parties; she was trying to figure out which ones. Deepa Seetharaman was working to understand how Facebook’s vaunted AI managed to take down such a tiny percentage—a low single-digit percent, according to the documents Haugen had given me—of hate speech on the platform, including constant failures to identify first-person shooting videos and racist rants.

AnyVision was not the only company implementing such AI technologies. Biometric facial recognition is a growth industry estimated to be worth US$11.6 billion globally by 2026. Cor-sight AI is a part Israeli-owned facial recognition company that works with the notoriously brutal police departments in Mexico and Brazil and the Israeli government.46 A former Israeli army colonel, Dany Tirza, partnered with Corsight AI to develop a police body camera that could immediately identify an individual in crowds, even if their face was covered, and match the person to photographs from years before. Tirza lives in the illegal West Bank settlement of Kfar Adumim and is one of the key architects of the Israeli separation wall that creeps through the West Bank. He supports facial recognition technology at Israeli checkpoints because it reduces “friction” between the IDF and Palestinians.47 The IDF uses extensive facial recognition with a growing network of cameras and mobile phones to document every Palestinian in the West Bank. Starting in 2019, Israeli soldiers used the Blue Wolf app to capture Palestinian faces, which were then compared to a massive database of images dubbed the “Facebook for Palestinians.” Soldiers were told to compete by taking the most photos of Palestinians and the most prolific would win prizes.

Rétrospectivement, je me demande pourquoi je me suis privé d'un truc [la guerre] aussi romanesque et valorisant. Un peu par trouille : j'y serais sans doute allé si je n'avais appris, au moment où on me le proposait, que Jean Hatzfeld venait d'être amputé d'une jambe après avoir reçu là-bas une rafale de kalachnikov. Mais je ne veux pas m'accabler : c'était aussi par circonspection. Je me méfiais, je me méfie toujours des unions sacrées - même réduites au petit cercle qui m'entoure. Autant je me crois sincèrement incapable de violence gratuite, autant je m'imagine volontiers, peut-être trop, les raisons ou concours de circonstances qui auraient pu en d'autres temps me pousser vers la collaboration, le stalinisme ou la révolution culturelle. J'ai peut-être trop tendance aussi à me demander si, parmi les valeurs qui vont de soi dans mon milieu, celles que les gens de mon époque, de mon pays, de ma classe sociale, croient indépassables, éternelles et universelles, il ne s'en trouverait pas qui paraîtront un jour grotesques, scandaleuses ou tout simplement erronées. Quand des gens peu recommandables comme Limonov ou ses pareils disent que l'idéologie des droits de l'homme et de la démocratie, c'est exactement aujourd'hui l'équivalent du colonialisme catholique - les mêmes bonnes intentions, la même bonne foi, la même certitude absolue d'apporter aux sauvages le vrai, le beau, le bien -, cet argument relativiste ne m'enchante pas, mais je n'ai rien de bien solide à lui opposer. Et comme je suis facilement, sur les questions politiques, de l'avis du dernier qui a parlé, je prêtais une oreille attentive aux esprits subtils expliquant qu'Izetbegović, présenté comme un apôtre de la tolérance, était en réalité un Musulman fondamentaliste, entouré de Moudajhidines, résolu à instaurer à Sarajevo une république islamique et fortement intéressé, contrairement à Milosević, à ce que le siège et la guerre durent le plus longtemps possible. Que les Serbes, dans leur histoire, avaient assez subi le joug ottoman pour qu'on comprenne qu'ils n'aient pas envie d'y repiquer. Enfin, que sur toutes les photos publiées par la presse et montrant des victimes des Serbes, une sur deux si on regardait bien était une victime serbe. Je hochais la tête : oui, c'était plus compliqué que ça. (p. 310-311)

Ma sœur est d'une totale instabilité d'humeur. (…) Elle entamait une histoire d'amour clandestine avec un encadreur. Dans l'euphorie des débuts, elle venait de s'acheter une laisse et un collier de soumission. Il fallait qu'elle m'entraine tout de suite à part pour me montrer le kit sur son portable. Elle avait aussi envie d'un martinet, elle en avait vu un très joli sur internet, un knout à quatre brins montés sur un manche croco. Mais il valait cinquante-quatre euros et il y avait écrit: attention objet TRES cinglant. J'ai voulu voir la tête de l'encadreur mais elle n'avait pas de photo. Il avait soixante-quatre ans, cinq de plus qu'elle, marié, des bras costauds car il faisait de l'aviron, m'a-t-elle dit, et tatoués. J'ai pensé, et pourquoi aucun mec tatoué avec un fouet ne survient dans ma vie?

Achats Il me semblait, le souvenir est tellement clair Que j’étais dans un grand magasin alimentaire Saturé de byzantines effluves : Vanille, cannelle, olives. Un magasin comme une cité autour Mais perdu dans le clair-obscur. Palpitaient de temps en temps des lumières Venant du rayon des denrées étrangères Vers les boutiques secondaires Avec du linge et des lampadaires quand, a travers la vitre souillée, Je t’ai vue mélanger une sorte de pâtée, Pour assaisonner les harengs ou maquereaux Et soudainement je suis tombé amoureux. Alors tu as souri avec les paupières, Tu as touché des soupapes légères, Tu as rangé les boites de conserves de goujon, Tu as secoué tes mèches, essuyé tes mains au blouson Et devant moi tu es venue. T’étais petite, le regard un peu embu, Tu te tenais, pieds nus et toute rose, Comme dans les photos d’enfance on gardait la pose Et tu m’as dit que même si pour moi seul vivais Dans des chambres, magasins, ou tramways, Il ne sera rien de pareil, jamais Car mon être entier était changé Et peut-être il ne te reste souvenance Des temps heureux vécus à l’Assistance La façon dont ensemble on se gaussait En sortant nos doigts de la couette matelassée. Alors vers les manufactures je me suis tourné Et acheter plein de choses j’ai commencé Sans aucun choix, sans logique, En souvenir des saisons devenues épiques. * traduit du roumain par Cindrel Lupe

Depuis que je roule ma bosse, de ville en ville, de pays en pays, des objets que je chérissais ont disparu, un recueil de Lamartine annoté de mes mains d’adolescent amoureux, un livre qui entretenait ma révolte naissante L’Unique et sa propriété de Max Stirner, des photos, des diplômes, tant d’objets de grande valeur sentimentale que j’ai traînés avec moi sans savoir pourquoi et pour lesquels je n’ai jamais ressenti de remord ou de douleur à leur perte. (p. 31)

it only takes about 500 images or 10 seconds of video to create a realistic deepfake.”31 That means all those social media photos and YouTube videos your company shares could be used against your brand.

In 2017 an artificial intelligence program crushed the world’s top players at Texas Hold ’Em—that is to say, it knew how to bluff. Given enough examples, AI programs can now learn almost anything: Facebook’s DeepFace algorithm recognizes specific human faces in photos 97 percent of the time,

Every photograph has the capacity to be a creative canvas, and with the correct tools, commonplace events may become engrossing visual tales. Here's PicVik, an AI photo editor, collage creator, and background remover tool that blurs the lines between creativity and innovation. PicVik is more than simply an app; it's a doorway to a world where your artistic ambitions and the power of artificial intelligence collide. With PicVik, you can easily remove backgrounds from photos, create complex collages, and enhance the details in your images. PicVik is meant to be your go-to tool for digital art.

Ai photo editor, collage maker and background remover app- PicVik

In a 2023 report presented to Congress, the Congressional Research Service explained: “Deepfakes are often described as forgeries created using techniques in machine learning (ML) — a subfield of AI — especially generative adversarial networks (GANs). In the GAN process, two ML systems, called neural networks, are trained in competition with each other. The first network, or the generator, is tasked with creating counterfeit data — such as photos, audio, recordings, or video footage — that replicate the properties of the original data set. The second network, or the discriminator, is tasked with identifying the counterfeit data. Based on the results of each iteration, the generator networks continue to compete — often for thousands or millions of iterations — until the generator improves its performance such that the discriminator can no longer distinguish between real and counterfeit data.

Mais l’enfance n’est ni nostalgie, ni terreur, ni paradis perdu, ni Toison d’Or, mais peut-être horizon, point de départ, coordonnées à partir desquelles les axes de ma vie pourront trouver leur sens. Même si je n’ai pour étayer mes souvenirs improbables que le secours de photos jaunies, de témoignages rares et de documents dérisoires, je n’ai pas d’autre choix que d’évoquer ce que trop longtemps j’ai nommé l’irrévocable ; ce qui fut, ce qui s’arrêta, ce qui fut clôturé : ce qui fut, sans doute, pour aujourd’hui ne plus être, mais ce qui fut aussi pour que je sois encore.

The Role of Technology in Preventing and Solving Burglaries The world of crime and law enforcement has seen significant technological advancements in recent years. One area where technology has played a vital role is in preventing and solving burglaries. In this blog, we will explore the evolving role of technology in addressing burglary and the various ways it is employed by both law enforcement agencies and homeowners to combat this crime. 1. Home Security Systems One of the most visible and effective uses of technology in burglary prevention is home security systems. These systems often include surveillance cameras, motion sensors, and alarm systems. The ability to monitor and control these systems remotely through smartphone apps has given homeowners a valuable tool in protecting their property. 2. Smart Locks and Access Control Modern technology has given rise to smart locks and access control systems. Homeowners can now control and monitor access to their properties through smartphone apps. This technology allows for greater security and easier management of who enters your home, making it harder for burglars to gain unauthorized access. 3. Artificial Intelligence and Predictive Policing Law enforcement agencies are using artificial intelligence and data analysis to predict and prevent burglaries. By analyzing historical crime data, AI can identify patterns and hotspots, enabling police to allocate resources more effectively. Predictive policing can lead to faster response times and a more proactive approach to preventing burglaries. 4. Video Surveillance and Facial Recognition High-definition video surveillance and facial recognition technology have become powerful tools for both homeowners and law enforcement. Surveillance cameras with facial recognition capabilities can help identify and track potential suspects. This technology can aid in capturing clear images of burglars, making it easier to apprehend them. 5. Social Media and Digital Footprints Social media has become a valuable source of information for law enforcement. Burglars often inadvertently leave digital footprints, such as posts, photos, or location data, that can link them to crime scenes. Detectives can use these digital clues to build cases and identify suspects. 6. DNA Analysis and Forensics Advancements in DNA analysis and forensics have revolutionized the way burglary cases are investigated. DNA evidence can link suspects to crime scenes and help secure convictions. This technology has not only led to the solving of cold cases but also to the prevention of future crimes through the fear of leaving DNA evidence behind. 7. Community Apps and Reporting Many communities now use smartphone apps to report suspicious activities and communicate with neighbors. These apps have become effective in preventing burglaries through community engagement. They facilitate quick reporting of unusual incidents and can be a deterrent to potential burglars. Conclusion Technology has significantly improved the prevention and solving of burglaries. Homeowners now have access to advanced security systems, while law enforcement agencies use data analysis, surveillance, and forensics to track and apprehend suspects. The synergy between technology and law enforcement has made it increasingly challenging for burglars to operate undetected. As technology continues to advance, the fight against burglaries will only become more effective, ultimately making our communities safer.

Microsoft launched its AI chatbot Tay on Twitter on 23 March 2016. Tay was intended to mimic the speech of a nineteen-year-old girl and to learn from interactions with other Twitter users. Sixteen hours after its launch, Tay was removed from active duty after posting a series of racist and sexually inflammatory tweets, including one which captioned a photo of Adolf Hitler with the tag ‘swag alert’, and another saying ‘Fuck my robot pussy daddy I’m such a naughty robot’. Tay had ‘learned’ to communicate this way from other users on Twitter. This example says as much about humans on social media as it does about machine learning.

DeepArt.io: What it’s for: Transforming photos into artwork. How it works: Whether it’s Van Gogh’s starry swirls or Warhol’s pop art you’re after, DeepArt brings a touch of classic artistry to your designs. 2. Lumen5: What it’s for: Video content creation for products. How it works: Convert those text descriptions into vibrant video narratives. Lumen5 crafts visual stories tailored to your product, making your designs not just seen but experienced. 3. Crello: What it’s for: Design and animation. How it works: As your on-call graphic designer, you can feed Crello a theme and get back a flurry of design elements and animations. Perfect for those captivating store banners and promotional materials. 4. Everbee: What it’s for: Automated design creation. How it works: Everbee’s AI processes trends and popular designs to suggest fresh, market-ready creations. It’s like having a personal design assistant who’s always in the know. 5. RelayThat: What it’s for: Brand consistency in designs. How it works: Maintain a consistent look and feel across all your products. Input your brand elements— colors, fonts, logos—and RelayThat ensures every design harmonizes with your brand voice. 6. Printful’s Mockup Generator: What it’s for: Product mockup visualization. How it works: A gem for visualizing your designs in the real world. See how they’d look on T-shirts, mugs, posters, and more—basically, a digital fitting room for your art.

mon avenir à un certain moment de mon enfance plus précisément vers sa fin ou même au-delà de mon enfance ma mère m’a dit je n’ai plus de patience il y a trop d’incertitudes j’ai peur elle m’a donc emmené chez une vieille voyante qui vivait dans une toute petite maison une vieille femme bien moche je peux le dire avec un regard perçant je n’étais pas capable de lui résister je tournais donc régulièrement la tête elle sortait des humms et des ooohs et posait sa main sur ma tête ensuite elle m’a fait voir par un prêtre il était sympa celui-là il souriait constamment mais il n’a presque rien dit en ma présence ma mère n’a pas été contente de toute façon et m’a dit qu’il fallait voir encore d’autres personnes un peu plus loin j’ai refusé elle est donc allée avec une photo de moi elle a dépensé pas mal d’argent mais les choses n’étaient pas claires elle a appris d’abord qu’il y avait danger pour moi dans la forêt dans la rivière dans la mer que je devais éviter le courant électrique que les risques de mourir seront grands quand j’aurai quarante ans mais qu’il est possible

Un site de rencontres… Moi j’ai juste l’impression d’être en vente aux enchères. Je vends ma plus belle photo, celle qui ne me ressemble pas. Je me retrouve avec un agenda de ministre, qui ne débouche sur rien d’autre que de la gêne, quand je ne tombe pas sur des tordus. (p. 23)

–Naturellement. Je connais comme ma poche. J'y ai des amis, j'en suis revenu avec des tas de photos… voir le Louvre, avec sa pyramide illuminée dans la cour, traverser la Seine, arriver jusqu'au Moulin-Rouge, c'est vraiment indescriptible. À La Défense, il y a des gratte-ciel, tu peux prendre en photo le ciel qui se reflète sur leurs parois vitrées. Les fontaines artésiennes montent et descendent au rythme du jazz… Ne me demande pas pourquoi je n'y suis pas retourné. Peut-être pour passer cette soirée avec toi, pour l'autobus qui arrivera d'un instant à l'autre. Puis-je te raccompagner ? [–Firește. Îl știu ca pe buzunarele mele. Am prieteni acolo, am venit cu o grămadă de poze… Să vezi Luvrul, cu piramida luminată din curte, să treci peste Sena, s-ajungi la Moulin Rouge, asta chiar nu se poate descrie. În La Défense sînt zgîrie-nori, poți fotografia cerul în sticla lor. Fîntînile arteziene cresc și scad în ritmuri de jazz… Nu mă întreba de ce m-am întors. Poate pentru seara asta cu tine sau pentru autobuzul care o să vină dintr-o clipă în alta. Pot să te conduc ?] (p.79)

Ce qui me réjouit et m’émeut chez lui, ce sont sa jeunesse, son humour, son exubérance, aux ressources encore intactes. Avec quelle foi, avec quelle application il me jouait à l’accordéon toutes sortes de tangos et de fox-trot ! Y a-t-il un effort pour retrouver une joie en vérité irrémédiablement perdue ? Il m’a raconté ses jeux de cet été, avec Geo Bogza, qui était venu le voir. Ils jouaient au bateau. Blecher donnait le signal du départ et Bogza remorquait son lit. Ils avaient placardé un avis sur le mur : “Il est interdit de monter au mât et de cracher d’en haut dans la salle des machines.” Il m’a montré un album de photos. J’ai eu du mal à me retenir de pleurer devant une photo de lui à dix-sept ans – un admirable visage d’adolescent. – J’étais beau gosse, hein ? Je suis reparti vers quatre heures. Mais pourquoi n’ai-je pas osé l’embrasser, lui parler davantage, faire un geste fraternel, lui montrer d’une façon ou d’une autre qu’il n’est pas seul, qu’il n’est pas totalement et désespérément seul ? Pourtant, seul, il l’est.

J'ai longtemps pensé que les photos étaient comme des piquets de tente qui fixent les souvenirs dans notre mémoire, mais c'est faux. Les photos remplacent les souvenirs. Inconsciemment, nous les intégrons à nos souvenirs et il ne nous reste en réalité que de vagues réminiscences de la réalité telle que nous l'avons vécue. Le diaporama qui mars roule dans ma tête est sans aucun doute composé en partie d'images venues plus tard le compléter.