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Mariko Mori – Kamitate Stone at Sean Kelly Gallery
Mariko Mori, the internationally celebrated artist who blends technology, spirituality, and nature, debuts Kamitate Stone I this October at Sean Kelly Gallery in New York. The work continues her exploration of luminous form, energy, and transcendence.
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Vimeo Enters into Definitive Agreement to Be Acquired by Bending Spoons for $1.38 Billion
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ByteDance Seedream 4.0 – Super‑fast, 4K, multi image support
https://seed.bytedance.com/en/seedream4_0
➤ Super‑fast, high‑resolution results : resolutions up to 4K, producing a 2K image in less than 1.8 seconds, all while maintining sharpness and realism.
➤ At 4K, cost as low as 0.03 $ per generation.
➤ Natural‑language editing – You can instruct the model to “remove the people in the background,” “add a helmet” or “replace this with that,” and it executes without needing complicated prompts.
➤ Multi‑image input and output – It can combine multiple images, transfer styles and produce storyboards or series with consistent characters and themes. -
OpenAI Backs Critterz, an AI-Made Animated Feature Film
https://www.wsj.com/tech/ai/openai-backs-ai-made-animated-feature-film-389f70b0
Film, called ‘Critterz,’ aims to debut at Cannes Film Festival and will leverage startup’s AI tools and resources.
“Critterz,” about forest creatures who go on an adventure after their village is disrupted by a stranger, is the brainchild of Chad Nelson, a creative specialist at OpenAI. Nelson started sketching out the characters three years ago while trying to make a short film with what was then OpenAI’s new DALL-E image-generation tool. -
AI and the Law: Anthropic to Pay $1.5 Billion to Settle Book Piracy Class Action Lawsuit
https://variety.com/2025/digital/news/anthropic-class-action-settlement-billion-1236509571
The settlement amounts to about $3,000 per book and is believed to be the largest ever recovery in a U.S. copyright case, according to the plaintiffs’ attorneys.
FEATURED POSTS
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Lisa Tagliaferri – 3 Python Machine Learning Projects
A Compilation of 3 Python Machine Learning Projects
- How To Build a Machine Learning Classifier in Python with Scikit-learn
- How To Build a Neural Network to Recognize Handwritten Digits with
TensorFlow - Bias-Variance for Deep Reinforcement Learning: How To Build a Bot for Atari with openAI gym
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AI Data Laundering: How Academic and Nonprofit Researchers Shield Tech Companies from Accountability
“Simon Willison created a Datasette browser to explore WebVid-10M, one of the two datasets used to train the video generation model, and quickly learned that all 10.7 million video clips were scraped from Shutterstock, watermarks and all.”
“In addition to the Shutterstock clips, Meta also used 10 million video clips from this 100M video dataset from Microsoft Research Asia. It’s not mentioned on their GitHub, but if you dig into the paper, you learn that every clip came from over 3 million YouTube videos.”
“It’s become standard practice for technology companies working with AI to commercially use datasets and models collected and trained by non-commercial research entities like universities or non-profits.”
“Like with the artists, photographers, and other creators found in the 2.3 billion images that trained Stable Diffusion, I can’t help but wonder how the creators of those 3 million YouTube videos feel about Meta using their work to train their new model.”
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Emmanuel Tsekleves – Writing Research Papers
Here’s the journey of crafting a compelling paper:
1️. ABSTRACT
This is your elevator pitch.
Give a methodology overview.
Paint the problem you’re solving.
Highlight key findings and their impact.
2️. INTRODUCTION
Start with what we know.
Set the stage for our current understanding.
Hook your reader with the relevance of your work.
3️. LITERATURE REVIEW
Identify what’s unknown.
Spot the gaps in current knowledge.
Your job in the next sections is to fill this gap.
4️. METHODOLOGY
What did you do?
Outline how you’ll fill that gap.
Be transparent about your approach.
Make it reproducible so others can follow.
5️. RESULTS
Let the data speak for itself.
Present your findings clearly.
Keep it concise and focused.
6️. DISCUSSION
Now, connect the dots.
Discuss implications and significance.
How do your findings bridge the knowledge gap?
7️. CONCLUSION
Wrap it up with future directions.
What does this mean for us moving forward?
Leave the reader with a call to action or reflection.
8️. REFERENCES
Acknowledge the giants whose shoulders you stand on.
A robust reference list shows the depth of your research.
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What light is best to illuminate gems for resale
www.palagems.com/gem-lighting2
Artificial light sources, not unlike the diverse phases of natural light, vary considerably in their properties. As a result, some lamps render an object’s color better than others do.
The most important criterion for assessing the color-rendering ability of any lamp is its spectral power distribution curve.
Natural daylight varies too much in strength and spectral composition to be taken seriously as a lighting standard for grading and dealing colored stones. For anything to be a standard, it must be constant in its properties, which natural light is not.
For dealers in particular to make the transition from natural light to an artificial light source, that source must offer:
1- A degree of illuminance at least as strong as the common phases of natural daylight.
2- Spectral properties identical or comparable to a phase of natural daylight.A source combining these two things makes gems appear much the same as when viewed under a given phase of natural light. From the viewpoint of many dealers, this corresponds to a naturalappearance.
The 6000° Kelvin xenon short-arc lamp appears closest to meeting the criteria for a standard light source. Besides the strong illuminance this lamp affords, its spectrum is very similar to CIE standard illuminants of similar color temperature.