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OpenAI has officially rolled out image generation for free users, and the best part is that you can get a free checklist to help you kickstart your own AI business. Simply drop a like, leave a comment, and subscribe to get access now.

While OpenAI hasn't officially listed the limits, it's reported that free users will get three image generations per day. This launch has sparked a massive wave of activity, with ChatGPT experiencing its biggest day ever. However, with the increased traffic, OpenAI has warned that they will be slowing down future announcements as the servers are under heavy load.

On the bright side, OpenAI has secured a $40 billion raise led by SoftBank, bringing their valuation to a jaw-dropping $300 billion. Hopefully, some of that capital will go towards scaling their GPU and data infrastructure to keep up with the demand.

Additionally, OpenAI has announced the launch of ChatGPT Plus, a $20 per month plan that is now free for college students in the US and Canada through May. This is a huge win for students looking to tap into advanced AI tools at no cost.

OpenAI's image generation feature has officially rolled out for free users, and the company has also announced a free checklist to help users kickstart their own AI businesses. While there are some limits in place, the launch has sparked a massive wave of activity, with ChatGPT reaching its biggest day ever.

Sam Altman, the CEO of OpenAI, has warned that the company will be slowing down future announcements as the servers are under heavy load. However, OpenAI has also secured a $40 billion raise led by SoftBank, bringing their valuation to a staggering $300 billion. This funding should help the company scale its GPU and data infrastructure to keep up with the growing demand.

Additionally, OpenAI has announced that ChatGPT Plus, the $20 per month plan, is now free for college students in the US and Canada through May. This is a significant win for students looking to access advanced AI tools at no cost.

OpenAI is also planning to release a new open-weight language model on their website in the coming months. They are actively seeking input from developers, researchers, and the broader community to make the model as useful as possible. Interested individuals can even sign up for a feedback session with the OpenAI team.

Furthermore, OpenAI has quietly rolled out the OpenAI Academy, a collection of educational resources designed to help people learn how to use AI. The offerings range from AI for older adults to automating knowledge graphs with Rag and AI for nonprofits, among many others.

Overall, the recent developments at OpenAI showcase the growing demand and interest in AI technologies, as well as the company's efforts to scale its infrastructure and engage with the broader community.

OpenAI is planning to release a new openweight language model on their website in the coming months. This will be their first open model since GPT-2, and they are actively looking to collaborate with developers, researchers, and the broader community to gather input and make it as useful as possible.

Interested individuals can even sign up for a feedback session with the OpenAI team. According to Sam Altman, the CEO of OpenAI, this move comes as open-source models continue gaining traction, and it lines up with his recent comments suggesting that OpenAI may have taken the wrong approach by not going open-source sooner. It seems like they are starting to course-correct by getting more open models into the ecosystem.

OpenAI is excited to release this powerful new openweight language model with reasoning capabilities and wants to hear from the developer community to help shape it. Those interested in providing feedback can sign up for a session with the OpenAI team.

OpenAI has quietly rolled out a new platform called OpenAI Academy, which offers a collection of educational resources designed to help people learn how to use AI. The offerings include online training sessions, pre-recorded educational videos, and tutorials on a variety of topics, ranging from "AI for Older Adults" to "Automating Knowledge Graphs with Rag" and "AI for Nonprofits."

The content on the OpenAI Academy website covers a wide range of AI-related subjects, catering to users with different levels of expertise. Whether you're a beginner looking to get started with AI or an experienced practitioner seeking to expand your knowledge, the resources available on the platform can be valuable.

One of the key features of the OpenAI Academy is its focus on practical, hands-on learning. Many of the tutorials and training sessions are designed to provide users with the opportunity to apply the concepts they've learned, helping them develop a deeper understanding of AI and its applications.

Overall, the launch of the OpenAI Academy is a welcome addition to the AI ecosystem, providing free and accessible educational resources to help individuals and organizations alike navigate the rapidly evolving world of artificial intelligence.

China's Ernie 4.5 model has beaten GPT-4.5 in a three-game chess match. This is a bold showing in the ongoing AI rivalry, with Ernie emerging victorious against the powerful GPT-4.5 model. The chess match highlights the continued advancements in AI capabilities, as these models demonstrate their strategic thinking and problem-solving skills in a competitive setting.

Google has made its top-tier model, Gemini 2.5, available to all free users. This powerful model boasts a massive million-token context window, allowing it to handle up to 750,000 words of input and output. This makes it incredibly useful for developers, as they can feed it entire code bases and it will still be able to understand and work with the whole thing.

To access Gemini 2.5, users can head over to gemini.google.com and click the model dropdown, where they should now see "2.5 Pro Experimental" listed. This update from Google provides free users with access to an exceptional coding model, further expanding the capabilities of AI tools available to the broader community.

Google has rolled out a new "Discover Sources" feature for its Notebook LM tool. This feature simplifies the process of finding relevant sources for your content creation tasks.

Previously, users had to manually provide sources for Notebook LM to generate content or help build podcasts. With the new "Discover Sources" feature, you can now just describe the topic you're interested in, and Notebook LM will fetch a curated list of relevant sources from the web. You can then add these sources directly to your notebook with a single click.

According to Google, the "Discover Sources" button should appear under the "Sources" tab when you log in to Notebook LM. However, the rollout is still in progress, so you may not see the feature immediately.

In addition to the new "Discover Sources" feature, Google has also introduced several other updates to Notebook LM over the last 10 days, including:

• Mind maps
• Improved PDF comprehension
• Enterprise-grade data protection
• Source linking

These updates are part of Google's ongoing efforts to enhance the capabilities of Notebook LM and make it a more powerful tool for content creation and collaboration.

Amazon has stepped into the AI agent space with its new platform called Nova ACT, their answer to tools like OpenAI's Operator, Anthropic's Claude, or emerging platforms like Manish. Nova ACT is currently available to developers at nova.amazon.com, where they'll find familiar features like chat and image generation.

The standout feature of Nova ACT is the new ACT capability, which allows the agent to browse the web autonomously. In Amazon's demo, the agent is shown searching for a dream apartment, selecting preferences like two bedrooms and one bathroom, and interacting with the web interface without any user intervention. The agent's decision-making process is visible in real-time, showcasing its ability to navigate and interact with the web on its own.

This move by Amazon represents a clear step towards developing full AI agents that can not only respond in chat but also autonomously perform tasks on the web, making it a significant development in the AI agent space.

Rabbit, the company behind the Rabbit R1 device, is expanding its AI capabilities to desktop computers. Their new AI agent, called Rabbit OS Intern, is designed to assist users with tasks on par with what you'd expect from an intern.

In a demo, the user asked the Rabbit OS Intern to build a tool for creating 16-bit music loops, specifying features like eight rows of bits for sound placement. The agent then outlined the step-by-step tasks, generated the necessary code files, including an index HTML, and delivered a fully working app without any human coding involved.

Rabbit has opened up a free trial of this upgraded AI-native operating system at whole.rabbit.te for a limited time. Current Rabbit R1 device owners get access to nine tasks per day, while everyone else gets three.

This move by Rabbit showcases the growing capabilities of AI agents in automating complex tasks, such as application development, without the need for manual coding. The Rabbit OS Intern's ability to understand user requirements, generate the necessary code, and deliver a functional application highlights the potential of AI-powered tools to streamline and accelerate the software development process.

There was a pretty intriguing move from X this week - X AI has officially acquired X, the social media platform. The deal values X AI at $80 billion and X at $33 billion, so essentially Elon Musk sold a Musk-owned company to another Musk-owned company. The purpose of this move is to streamline things - now that X AI owns the platform, it can tap directly into X's data without jumping through regulatory hoops or licensing issues.

Apple has made significant updates to its Apple Intelligence features, expanding their availability to more languages and regions, as well as integrating them into the Apple Vision Pro headset.

Firstly, Apple Intelligence features are now available in additional languages, including French, German, Italian, Portuguese, Spanish, Japanese, Korean, and Chinese, along with localized English for Singapore and India. This expansion ensures that more users around the world can benefit from these AI-powered capabilities.

Furthermore, Apple has rolled out Apple Intelligence on the Vision Pro with the latest Vision OS 2.4 update. This means that users of the Apple Vision Pro headset can now access a range of AI features, such as writing emails, generating images using the image playground, creating Memojis, and performing natural language searches in their photos. These features seamlessly integrate the power of Apple Intelligence into the immersive experience of the Vision Pro.

The integration of Apple Intelligence across more languages, regions, and devices demonstrates Apple's commitment to making its AI-powered tools accessible to a wider audience. This expansion aligns with the company's broader strategy of leveraging artificial intelligence to enhance the user experience across its product ecosystem.

Runway's new Gen 4 model is incredibly impressive, with quality that rivals Stable Diffusion 2 and may even edge it out in some cases. The model is now available in the "Generate Video" section of Runway, and it seems to be focused on image-to-video generation.

I've tested the model extensively, and the results are quite remarkable. For example, when I prompted it to create an image of a wolf howling at the moon and then ran that through the Gen 4 model, I got a slick 5-second video. The wolf howled, and some steam even floated by, before it ran off-screen at the end. The added touches were quite impressive.

I also tried something more unusual, like a monkey on roller skates. I took an image of a monkey at the beach and ran it through the Gen 4 model, and the result was a funky dance on roller skates with waves crashing in the background. The movement isn't perfect, but considering the progress made in the past year, this is truly remarkable.

Overall, Runway's Gen 4 model is a strong contender in the AI video generation space, and I'll be diving deeper into it and other AI video tools in future videos. Make sure to subscribe to the channel to stay updated on all the latest developments in this rapidly evolving field.

Higsfield AI, a new AI video model, is turning heads with its promise of creating cinematic-style shots. The model can produce a variety of dynamic camera movements and effects, including:

• Bullet time
• Super dollies
• Robotic arm-style camera moves

All of these can be generated from a single input image. The examples shared by Higsfield AI showcase some impressive results, with dolly zooms, robo-cam movements, dramatic panning shots, and even drone-like angles.

One standout feature is the "snory cam shot," a term that may be unfamiliar to some, but the resulting visuals look quite compelling. Additionally, the model can create crane overhead angles, fisheye, head-tracking, whip pans, and through-object shots, all with a cinematic flair.

Users can try out Higsfield AI's capabilities on the company's website, where they have packed the homepage with numerous video examples to browse. The platform offers a free trial with 25 credits, which equates to around two video generations, though with limited features and a watermark. Paid plans start at around $6 per month when billed annually, or a monthly rate that provides approximately 15 video generations per month.

Higsfield AI's introduction of these cinematic video features is an exciting development in the world of AI-powered video creation, and it will be interesting to see how it compares to other emerging AI video models in the market.

Luma AI has recently launched exciting new features for their AI video generation capabilities. These new additions include a range of cinematic shot types, similar to what was recently introduced by Higsfield AI.

The new camera effects added to Luma AI include:

• Crane down
• Crane up
• Static orbit left
• Pan right
• Pan left
• Pedestal down
• Pedestal up
• Pull out
• Push in

These dynamic camera movements allow users to generate videos with a more cinematic feel, adding depth and visual interest to their AI-generated content. The ability to create crane shots, panning, and other camera effects can significantly enhance the production value of the videos.

With these new features, Luma AI is pushing the boundaries of what's possible with AI-powered video generation. Users now have access to a wider range of creative tools to bring their ideas to life, further blurring the line between human-created and AI-generated video content.

As the landscape of AI video tools continues to evolve, it will be important to keep an eye on the latest developments and compare the capabilities of different platforms. This will ensure users can make informed decisions and leverage the most powerful tools for their specific video production needs.