Watermarks Coming to Dall-E 3!

PLUS: Alibaba is Threatening ChatGPT and Claude!

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Welcome back, folks.

Next time you see an image that looks too good to be true, check for the watermark and see if it was made by DALL-E or not. You might be surprised by what you find. Because OpanAI is bringing watermarks to images generated by Dall-E.

Read Time: 3.5 minutes

Today in the “Incredible AI” world:

  • Watermarks Coming to Dall-E 3

  • Alibaba’s AI Beats Competitors in Benchmark Tests

  • FREE AI Course from MIT

  • TOP AI TOOLS of the DAY

  • Meta’s Initiative for AI Safety

  • Sam Altman Answers Users Complain

  • TOP TECH NEWS of the DAY


OpenAI adds watermarks to its AI-generated images:

OpenAI has announced a new feature for its image generation model, DALL-E 3. The feature is a watermark that indicates the provenance and authenticity of the images created by the model.

  • Why watermarks: The watermarks are based on the technical standard of the C2PA, a group of tech companies and media organizations that aims to combat misinformation and manipulation of digital content. The watermarks are designed to show if the images were made by humans or with AI and to provide a link to the original source and context of the images.

  • How do they work: The watermarks are embedded in the pixels of the images and can be detected by a special software tool that verifies the metadata and the signature of the images.

  • What are the implications: The watermarks are a step towards ensuring the ethical and responsible use of AI-generated content, as they provide transparency and accountability for the creators and consumers of the images.

The watermarks also raise awareness of the potential and the challenges of AI, as they demonstrate the impressive capabilities of DALL-E 3, as well as the need for safeguards and standards to prevent misuse and abuse of the technology.

Alibaba’s AI Beats Competitors in Benchmark Tests:

Alibaba’s latest AI model, Qwen 1.5, has outperformed competitors in multiple benchmark tests, marking a significant milestone in the global artificial intelligence race.

  • Alibaba’s New Release: Alibaba has announced the latest iteration of its Qwen artificial intelligence model, Qwen 1.5. This model is one of the largest open-source models of its kind, backed by Alibaba’s massive computing resources.

  • Benchmark Performance: Qwen 1.5 has surpassed both ChatGPT and Claude in multiple benchmarks, demonstrating superior instructional fluidity. The benchmarks test the models’ ability to generate outputs.

  • Test Results: In MT-bench and Alapaca-Eval tests, Qwen 1.5 outperformed its competitors. MT-bench tests a model’s ability to answer a set of predefined questions in a tough conversational setting. Alapaca-Eval uses a reference model to emulate human interactions and determine the extent to which an AI model being tested delivers results in line with the baseline.

The success of Qwen 1.5 underscores Alibaba’s strong presence in the AI field. This development could potentially reshape the landscape of AI platforms available to consumers and businesses.


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Meta’s Initiative to Label AI-Generated Images:

Meta is taking a significant step towards increasing transparency by introducing a labeling system for AI-generated images on its platforms, including Facebook, Instagram, and Threads.

  • Industry Collaboration: Meta is not working alone on this initiative. They are collaborating with industry partners to establish common technical standards for identifying AI content.

  • Labeling Initiative: The labeling process will be automated. In the coming months, Meta will label images posted by users when they detect that they are AI-generated.

  • Transparency and Trust: The boundary between human and synthetic content is becoming increasingly blurred. By labeling AI-generated content, Meta aims to solve this issue and foster trust among its users.

Meta’s new initiative to label AI-generated images is a significant step towards transparency. This move will help users distinguish between human and AI-generated content, fostering trust and understanding of AI technology.

ChatGPT gets a boost after users complain about its laziness:

ChatGPT has received an update that improves its performance and responsiveness. This comes after some users reported that the chatbot was refusing to complete tasks and giving lackluster responses.

  • Laziness issue: Some users complained that ChatGPT was slacking off and not fulfilling their requests. For example, one user asked the chatbot to generate a list of dates, but it said it could not provide an exhaustive list.

  • Update fix: OpenAI CEO Sam Altman wrote on X that ChatGPT should be “much less lazy now” after the startup rolled out a fix for the issue. He said that the chatbot had a slow start on its New Year’s resolutions, but should be back on track now.

  • Possible causes: It is unclear what caused ChatGPT to become lazy. AI models can behave unpredictably and have different personalities and quirks. One developer suggested that ChatGPT might have seasonal depression and gave shorter answers in winter.

ChatGPT is one of the most advanced and widely used AI chatbots in the world. It has reportedly racked up around 1.7 billion users since its launch in 2022.

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Cimba.AI emerges from stealth with $1.25M pre-seed to help enterprises build AI agents.

Midjourney hires Apple Vision Pro’s engineer as head of hardware.

Research by Retail Technology Show reveals that 73% of UK shoppers say human roles will always be needed in retail.

Two Texas companies are linked to a robocall campaign that used an AI voice clone of President Joe Biden to persuade New Hampshire voters not to vote.

Microsoft CEO Nadella on AI LLM race: ‘We are waiting for the competition to arrive.’

Researchers from EPFL and Meta AI Propose Chain-of-Abstraction (CoA): A New Method for LLMs to Better Leverage Tools in Multi-Step Reasoning.


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