Yayoi Kusama: ‘Longing For Eternity’ (2017)

Yayoi Kusama: ‘Longing For Eternity’ (2017)
Yayoi Kusama: ‘Longing For Eternity’ (2017)
Yayoi Kusama: ‘Longing For Eternity’ (2017)

Yayoi Kusama: ‘Longing For Eternity’ (2017)

More Posts from Matthewriccotyre and Others

4 months ago
A New Tool Lets Artists Add Invisible Changes To The Pixels In Their Art Before They Upload It Online

A new tool lets artists add invisible changes to the pixels in their art before they upload it online so that if it’s scraped into an AI training set, it can cause the resulting model to break in chaotic and unpredictable ways. 

The tool, called Nightshade, is intended as a way to fight back against AI companies that use artists’ work to train their models without the creator’s permission. Using it to “poison” this training data could damage future iterations of image-generating AI models, such as DALL-E, Midjourney, and Stable Diffusion, by rendering some of their outputs useless—dogs become cats, cars become cows, and so forth. MIT Technology Review got an exclusive preview of the research, which has been submitted for peer review at computer security conference Usenix.   

AI companies such as OpenAI, Meta, Google, and Stability AI are facing a slew of lawsuits from artists who claim that their copyrighted material and personal information was scraped without consent or compensation. Ben Zhao, a professor at the University of Chicago, who led the team that created Nightshade, says the hope is that it will help tip the power balance back from AI companies towards artists, by creating a powerful deterrent against disrespecting artists’ copyright and intellectual property. Meta, Google, Stability AI, and OpenAI did not respond to MIT Technology Review’s request for comment on how they might respond. 

Zhao’s team also developed Glaze, a tool that allows artists to “mask” their own personal style to prevent it from being scraped by AI companies. It works in a similar way to Nightshade: by changing the pixels of images in subtle ways that are invisible to the human eye but manipulate machine-learning models to interpret the image as something different from what it actually shows. 

Continue reading article here

4 months ago
Windows Start Menu Appreciation Post
Windows Start Menu Appreciation Post
Windows Start Menu Appreciation Post
Windows Start Menu Appreciation Post
Windows Start Menu Appreciation Post
Windows Start Menu Appreciation Post
Windows Start Menu Appreciation Post
Windows Start Menu Appreciation Post

Windows Start Menu appreciation post

Windows 95 (1995)

Windows NT Workstation (1996)

Windows 98 (1998)

Windows 2000 (2000)

Windows Me (2000)

Windows XP (2001)

Windows Vista (2007)

Windows 7 (2009)

4 months ago
Cat Series A Series Of Cats Placed On Flatbed Scanners
Cat Series A Series Of Cats Placed On Flatbed Scanners
Cat Series A Series Of Cats Placed On Flatbed Scanners
Cat Series A Series Of Cats Placed On Flatbed Scanners
Cat Series A Series Of Cats Placed On Flatbed Scanners
Cat Series A Series Of Cats Placed On Flatbed Scanners
Cat Series A Series Of Cats Placed On Flatbed Scanners
Cat Series A Series Of Cats Placed On Flatbed Scanners
Cat Series A Series Of Cats Placed On Flatbed Scanners
Cat Series A Series Of Cats Placed On Flatbed Scanners

Cat Series a series of cats placed on flatbed scanners

4 months ago
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.

Assortment of mixed generations of the apple ipod shuffles + nanos in clusters of like-colors.

2 months ago
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.
Assortment Of Mixed Generations Of The Apple Ipod Shuffles + Nanos In Clusters Of Like-colors.

Assortment of mixed generations of the apple ipod shuffles + nanos in clusters of like-colors.

4 months ago
Bruce Munro: ‘Waterlilies’ (2012) Location: Longwood Gardens, Pennsylvania
Bruce Munro: ‘Waterlilies’ (2012) Location: Longwood Gardens, Pennsylvania
Bruce Munro: ‘Waterlilies’ (2012) Location: Longwood Gardens, Pennsylvania
Bruce Munro: ‘Waterlilies’ (2012) Location: Longwood Gardens, Pennsylvania

Bruce Munro: ‘Waterlilies’ (2012) Location: Longwood Gardens, Pennsylvania

100 shining colorful waterlilies made of 65,000 recycled CDs float at Longwood Gardens in Kennett Square, Pennsylvania creating a light installation.

4 months ago
(from The Mitchells Vs. The Machines, 2021)
(from The Mitchells Vs. The Machines, 2021)
(from The Mitchells Vs. The Machines, 2021)
(from The Mitchells Vs. The Machines, 2021)
(from The Mitchells Vs. The Machines, 2021)
(from The Mitchells Vs. The Machines, 2021)

(from The Mitchells vs. the Machines, 2021)

2 months ago
Hidden Messages In Electronic Boards
Hidden Messages In Electronic Boards
Hidden Messages In Electronic Boards
Hidden Messages In Electronic Boards
Hidden Messages In Electronic Boards
Hidden Messages In Electronic Boards

hidden messages in electronic boards

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matthewriccotyre - Matthew Ricco Tyre
Matthew Ricco Tyre

Matthew Ricco Tyre is a seasoned sales leader specializing in IoT, telecommunications, and multifamily technology. As Vice President of Sales & Marketing at Spot On Networks, Matthew has led the company to impressive growth, increasing revenue from $2.8M in 2022 to $4.8M in 2023. He excels at building and leading high-performing teams, transitioning the company to a scalable, team-focused structure. With over a decade of experience, including roles at Twilio and KORE Wireless, Matthew combines technical expertise with results-driven leadership. Outside of work, he’s a former collegiate athlete who enjoys sports, gaming, and exploring new technologies. www.matthewtyre.net

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