Adobe Firefly subscribers can now generate unlimited images and videos. The change gives users unrestricted access to multiple AI models, including Google Nano Banana Pro, GPT Image Generation, Runway Gen-4 Image, and Adobe's own Firefly models. The offer covers Firefly Pro, Premium, and the 4,000, 7,000, and 50,000 credit plans. Users have until March 16 to sign up.
The unlimited generation feature is available on firefly.adobe.com, in Firefly Boards, and in the mobile app for iOS and Android. It also extends to the video editor, sound effects and music generator, and "Prompt to Edit" for text-based image editing. Users can create videos in up to 2K resolution and continue editing them in Creative Cloud apps like Photoshop and Premiere.
According to Adobe, 86 percent of creative professionals now use generative AI every day. The company also notes that average prompt length has doubled in 2025, a sign that AI tools have become a regular part of creative workflows.
OpenAI has released the Codex app for macOS, letting developers control multiple AI agents simultaneously and run tasks in parallel. According to OpenAI, it's easier to use than a terminal, making it accessible to more developers. Users can manage agents asynchronously across projects, automate recurring tasks, and connect agents to external tools via "skills." They can also review and correct work without losing context.
The Codex Mac app is available for ChatGPT Plus, Pro, Business, Enterprise, and Edu accounts. OpenAI is also doubling usage limits for paid plans. The app integrates with the CLI, IDE extension, and cloud through a single account. Free and Go users can try it for a limited time—likely a response to Claude Code's success with knowledge workers and growing demand for agentic systems (see Claude Cowork) that handle more complex tasks than standard chatbots.
The AI boom could cost Apple up to $57 more per iPhone – for memory chips alone.
"The rate of increase in the price of memory is unprecedented," says Mike Howard, an analyst at TechInsights, speaking to the Wall Street Journal. By the end of this year, the price of DRAM will quadruple from 2023 levels, and NAND will more than triple.
For Apple, the numbers are stark: The base-model iPhone 18 due this fall could cost $57 more in memory alone compared with the current iPhone 17 – a significant hit to profit margins on a device that retails for $799. This aligns with recent rumors that Apple may delay the base model's release to later this year.
The cause: AI companies like OpenAI, Google, and Meta are now outbidding Apple for scarce components. Nvidia has even overtaken Apple as TSMC's largest customer, a position Apple held for years.
Jerry Tworek, one of the minds behind OpenAI's reasoning models, sees a fundamental problem with current AI: it can't learn from mistakes. "If they fail, you get kind of hopeless pretty quickly," Tworek says in the Unsupervised Learning podcast. "There isn't a very good mechanism for a model to update its beliefs and its internal knowledge based on failure."
The researcher, who worked on OpenAI's reasoning models like o1 and o3, recently left OpenAI to tackle this problem. "Unless we get models that can work themselves through difficulties and get unstuck on solving a problem, I don't think I would call it AGI," he explains, describing AI training as a "fundamentally fragile process." Human learning, by contrast, is robust and self-stabilizing. "Intelligence always finds a way," Tworek says.
Chinese AI companies are pushing to ship major model updates ahead of the Chinese New Year holiday. Zhipu AI and Minimax, both of which recently went public on the Hong Kong stock exchange, plan to release updates to their flagship models within the next two weeks, according to the South China Morning Post. Zhipu AI is reportedly working on GLM-5, a follow-up to GLM-4.7, with improvements in creative writing, programming, and logical reasoning. Minimax is preparing M2.2, which focuses on parallel programming capabilities. Throughout 2025, Chinese companies have increasingly challenged the dominance of major US AI players.
Alibaba, Moonshot AI, and Baidu have all recently unveiled their most powerful models: Qwen3-Max-Thinking, Kimi K2.5, and Ernie 5.0. Deepseek, however, is apparently only planning a smaller update this year - according to a source, the company's next major model will be a trillion-parameter system, and training has been delayed due to its growing size. Meanwhile, Tencent, Baidu, and Alibaba are pouring billions of yuan into holiday advertising campaigns for their already popular AI chatbots.
OpenClaw (formerly Clawdbot) and Moltbook let attackers walk through the front door
How secure are AI agents? Not very, it turns out. OpenClaw’s system prompts can be extracted with a single attempt. Moltbook’s database was publicly accessible—including API keys that could let anyone impersonate users like Andrej Karpathy.
Deepseek OCR 2 cuts visual tokens by 80% and outperforms Gemini 3 Pro on document parsing
Deepseek has unveiled a vision encoder that processes image information based on meaning rather than position. The approach uses far fewer tokens and improves document recognition.
