GreenRubino的动态

In the ever-evolving landscape of AI and digital marketing, Meta’s release of the open-source Llama 3 represents a pivotal moment. This move not only challenges the status quo set by industry leaders like OpenAI but also heralds a new era of accessibility and innovation in AI-driven marketing solutions. At Marketing Automaton, we see this as an opportunity to further our mission of providing future-proof, expertise-driven marketing strategies. Llama 3’s cost-efficiency, adaptability, and performance potential enable us to offer our clients more personalized, effective, and innovative marketing solutions. Let’s discuss how leveraging open-source AI technology can drive your business forward in this transformative digital age. Join us in embracing the future of digital marketing.

It's good to see transparency around generative AI images (like in the below from OpenAI reported by The Verge). I do wonder, though, was there anywhere near this type of outrage let alone transparency when Photoshop came out, and ads, marketing material -- and likely even editorial material by some -- were not "real"? I mean, altered other than adjustments for lighting, contrast and basic qualities like that. #GenerativeAI https://lnkd.in/gSHy4VFN

Adobe's limited release of its Firefly AI text-to-video tool this week represents a leap forward in available AI technology. We took a dive into the risks and opportunities presented by the breakthrough product. One intriguing aspect: Adobe embeds Coalition for Content Provenance and Authenticity (C2PA)-compliant 'Content Credentials' into objects created or altered with Firefly. That's the kind of embed-and-disclose authentication required by the new California AI Transparency Act, which TCAI testified in favor of earlier this year. Check out our post to see how Content Credentials work, and learn why we expect more states to pass similar laws in 2025. #AI #deepfakes #AIsafety

INDUSTRY NEWS: Google to label AI-generated, edited images to help you sort real from fake Google is introducing a new feature to help people identify whether an image they see online was taken by a camera, edited with software, or created using AI. This will be integrated into Google Search and is based on the C2PA standard, which tracks an image's origin and edits. Supported by tech giants like Microsoft and Adobe, C2PA embeds metadata into images to verify their authenticity. While Google is pushing this forward, the challenge remains in getting more cameras and software to support the standard, which is crucial for tackling the spread of AI-generated content online. #AI #C2PA #informationauthenticity https://lnkd.in/gwYHCjXb

With AI comes significant benefits and challenges for society. As it becomes easier and easier to create and generate information, the importance of trusted capabilities to tell authentic information from fake will make the difference between delivering benefits for people and organizations. More than ever, deep collaboration with organizations in the public and private sectors and globally leads the way. Are there opportunities to tackle these challenges together? Let DIACC and me know!

OpenAI, Microsoft, and Adobe are collaborating to introduce AI watermarking legislation to combat the misuse of AI-generated content. This initiative is a significant step toward ensuring transparency and authenticity in the digital space. As AI-generated media becomes more prevalent, this legislation could be crucial in preventing misinformation and protecting intellectual property. Businesses and creators should pay attention to these developments, as they will likely shape the future of content creation and distribution. #PINCommunityAdvocate #MicrosoftPartner #BuildingTrustB2B2C

???????????????????? ?????????? ???? ???????????????? ???? ???????? ?????????????????? ???????????????????? California’s AB 3211 requires watermarks for AI-generated content, aimed at curbing deepfakes. ?????? ???? ??????????????- If passed, it would reshape AI usage, adding significant compliance burdens for AI creators and platforms. ?????? ???????? ???????? ??????????- This bill could stifle open-source AI models like Stable Diffusion, blocking access in California. ???????? ????'???? ??????????????- A backlash from developers concerned about the impact on innovation. ???? ????????????- Read more on TechCrunch: AI Watermark Bill https://lnkd.in/gKGT5t2v

#Topics Google debuts Imagen 2 with text and logo generation [ad_1] Google’s making the second generation of Imagen, its AI model that can create and edit images given a text prompt, more widely available — at least to Google Cloud customers using Vertex AI who’ve been approved for access. But the company isn’t disclosing which data it used to train the new model — nor introducing a way for creators who might’ve inadvertently contributed to the dataset to opt out or apply for compensation. Called Imagen 2, Google’s enhanced model — which was quietly launched in preview at the tech giant’s I/O conference in May — was developed using technology from Google DeepMind, Google’s flagship AI lab. Compared to the first-gen Imagen, it’s “significantly” improved in terms of image quality, Google claims (the company bizarrely refused to share image samples prior to this morning), and introduces new capabilities, including the ability to render text and logos. “If you want to create images with a text overlay — for example, advertising — you can do that,” Google Cloud CEO Thomas Kurian said during a press briefing on Tuesday. Text and logo generation brings Imagen in line with other leading image-generating models, like OpenAI’s DALL-E 3 and Amazon’s recently launched Titan I...

OpenAI's new gpt-4o mini model offers extremely low costs, enabling AI-generated content supported by ads to become financially viable. By generating dynamic blog posts for $0.00051525 each and earning approximately $0.0026 per ad impression, publishers can achieve a net profit of $0.002 per page view. This may cause a potential shift towards AI-generated content in response to user queries. #ai #technology https://lnkd.in/gUzVNaKn

#Topics Google debuts Imagen 2 with text and logo generation [ad_1] Google’s making the second generation of Imagen, its AI model that can create and edit images given a text prompt, more widely available — at least to Google Cloud customers using Vertex AI who’ve been approved for access. But the company isn’t disclosing which data it used to train the new model — nor introducing a way for creators who might’ve inadvertently contributed to the dataset to opt out or apply for compensation. Called Imagen 2, Google’s enhanced model — which was quietly launched in preview at the tech giant’s I/O conference in May — was developed using technology from Google DeepMind, Google’s flagship AI lab. Compared to the first-gen Imagen, it’s “significantly” improved in terms of image quality, Google claims (the company bizarrely refused to share image samples prior to this morning), and introduces new capabilities, including the ability to render text and logos. “If you want to create images with a text overlay — for example, advertising — you can do that,” Google Cloud CEO Thomas Kurian said during a press briefing on Tuesday. Text and logo generation brings Imagen in line with other leading image-generating models, like OpenAI’s DALL-E 3 and Amazon’s recently launched Titan I...