OpenAI Rolled Out ChatGPT Images 2.0

I Turned Text into a Consistent 3-Minute Short Film Using invideo

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In today’s Newsletter

  1. OpenAI rolled out ChatGPT Images 2.0

  2. The World's First AI Agent Platform Built for Real Business - Try One Week Free!

  3. OpenAI’s Image 2.0 is insane: 10 mindblowing Examples

  4. I Turned Text into a Consistent 3-Minute Short Film Using invideo

  5. YouTube opens its deepfake detector to Hollywood

  6. 10 ChatGPT Prompts You can steal in 2026

  7. AI & Tech News

OpenAI rolled out ChatGPT Images 2.0

OpenAI’s gpt image 2, as a visual reasoning partner rather than a plain renderer. The system can think through complex visual tasks, verify its own outputs, and generate up to eight coherent images from a single prompt. Within twelve hours of release, it claimed the top spot across every category on the Image Arena leaderboard by a margin of 242 points. The update rolls out to all ChatGPT tiers and signals a clear shift in how creative teams, publishers, and design studios will work with generative imagery. (Source: OpenAI)

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OpenAI’s Image 2.0 is insane: 10 mindblowing Examples

YouTube opens its deepfake detector to Hollywood

YouTube announced on April 21 that it is expanding its AI likeness detection tool to Hollywood talent agencies, management companies, and the celebrities they represent. The system works like Content ID, scanning for a participant's likeness in AI generated content and letting them request removals when a match violates the platform's privacy guidelines. CAA, UTA, WME, and Untitled Management helped refine the tool, and eligible talent can now use it even without a YouTube channel. The expansion turns a small creator program into one of the broadest celebrity deepfake defenses in the industry. (Source: hollywoodreporter)

I Turned Text into a Consistent 3-Minute Short Film Using invideo

Codex crosses 4 million developers as OpenAI courts the enterprise

OpenAI announced on April 21 that it is scaling Codex to large organizations through a new program called Codex Labs, backed by partnerships with major global systems integrators. The company said weekly Codex users climbed from roughly three million in early April to more than four million in just two weeks, with enterprises like Virgin Atlantic using the tool to expand test coverage and reduce technical debt, while Ramp is leaning on it to accelerate code review. The update captures how quickly agentic coding tools are moving from personal productivity hacks to infrastructure inside real engineering organizations. Source: OpenAI

10 ChatGPT Prompts You can steal in 2026

AI & Tech News

Anthropic says it built a model too dangerous to release

Foreign Policy reported on April 20 that Anthropic has developed a model, known as Claude Mythos Preview, powerful enough that the company decided against a public release. During testing, the general purpose language model showed an ability to find and exploit so called zero day vulnerabilities, a category of previously undiscovered flaws in a system's software. The disclosure has reignited debate inside Washington and Silicon Valley over whether frontier labs can keep advanced cyber capabilities contained, and what responsibilities they carry when their systems edge into dual use territory. Source: foreignpolicy

Cursor lines up a 50 billion dollar valuation

AI coding startup Cursor is in talks to raise a $2 billion round at a valuation above $50 billion, according to a source familiar with the matter who spoke to CNBC on April 19. Andreessen Horowitz is expected to co lead the round, with Nvidia and Thrive Capital also participating. All three have previously backed the company.

The size of the round tells a familiar 2026 story. Capital continues to pour into tools that let engineers delegate larger chunks of software development to AI agents, and Cursor has emerged as one of the clearest beneficiaries of that appetite. Source: CBNC 

Kimi has launched its latest open-source model - K2.6

Built for advanced coding, long-horizon execution, and autonomous agent workflows. It can run multi-hour tasks with thousands of tool calls, optimize real systems, and even generate full-stack applications from a single prompt. The model also shows strong gains in reasoning, tool usage, and stability across complex engineering tasks.

Key highlights: supports agent swarms with up to 300 sub-agents working in parallel, improves coding accuracy and long-context stability, achieves major throughput gains in real-world benchmarks, enables persistent agents running for days, and delivers near top-tier performance compared to leading proprietary models while remaining open-source.

Top AI tools to check out…

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Shailesh & OpenAILearning team