OpenAI Introduces ChatGPT Images, powered by our flagship new image generation model.

- Stronger instruction following
- Precise editing
- Detail preservation
- 4x faster than before

Rolling out today in ChatGPT for all users, and in the API as GPT Image 1.5.

Source.

@aipost 🏴

🖼️ ChatGPT gets a built-in image editor with fast, precise visual edits

What’s new
• OpenAI added a dedicated Images section inside ChatGPT.
• It works as a standalone photo editor directly within the AI interface.
• Powered by a new image model that runs ~4× faster than before.

Key capabilities
• Remembers how a person or object looked in previous frames, keeping visual consistency.
• Accurately follows prompts instead of distorting the whole image.
• Allows targeted edits: pose, lighting, clothing, background without breaking the rest of the frame.

Why it matters
• Image editing shifts from “prompt-and-hope” to controlled, granular changes.
• Makes AI image tools practical for real workflows, not just experimentation.
• Already live for all ChatGPT users.

This is a quiet but meaningful step toward ChatGPT becoming a full creative workspace, not just a text-first AI.

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Tesla said it has begun testing driverless robotaxis in Texas, marking another step in the company’s autonomous driving efforts. Investors reacted quickly to the announcement, sending Tesla shares to a new all-time high.

Attention is now turning to where Tesla might expand next, with Elon Musk known for eyeing unconventional and potentially high-growth markets.

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NOETIX has developed bionic humanoids that could serve as receptionists or guides in museums and other public spaces.

Would you want to see a humanoid like this in public? 🤔

AI Post ⚪️ | Our X 🏴

I guess it's only a matter of time before humanoid robots start teaming up as bandmates with human musicians.

AI Post ⚪️ | Our X 🏴

🗣 Yann LeCun warns that in the near future, all our digital interactions will be filtered through AI assistants.

That means our entire "information diet" what we read, see, and hear, could be controlled by just a few powerful tech companies. He compares this to the media: just like we need diverse press, we need diverse AI systems. If we don’t build open platforms, a few companies could control global information flow.

This is his biggest fear. Not AI going rogue, but AI being monopolized.

AI Post ⚪️ | Our X 🏴

📈 The AI Investment cycle visualized

Almost $1 Trillion has been invested into AI so far and that may just be the start

@aipost 🏴

❗️Disney introduces DisneyGPT, an internal AI assistant for content teams

Disney has launched DisneyGPT, a proprietary neural network for internal use. The tool is designed to help studio employees work faster and improve content quality.

What DisneyGPT does
• Provides verified information on films and animated projects, including canon details.
• Answers character-related questions, such as backstories, motivations, and relationships.
• Helps maintain the “Disney spirit” by referencing Walt Disney’s quotes and creative philosophy.
• Supports creative workflows with idea generation, fact-checking, and script validation.

How it’s positioned
• Functions as a hybrid of an internal encyclopedia, a script assistant, and a reference guide.
• Built specifically around Disney’s intellectual property and internal knowledge base.

Does building closed, internal AI tools give studios a long-term advantage over more open, third-party models?

@aipost 🏴

🚨 New details emerge on OpenAI and Disney partnership

Additional information has surfaced about the partnership between OpenAI and Disney, clarifying the scope and limitations of the agreement.

While the deal is structured as a three-year partnership, it reportedly grants OpenAI access to Disney’s iconic characters for use in its Sora AI model for only the first year. After that initial period, Disney is free to enter into similar agreements with other companies.

According to Disney, the collaboration is intended as a trial rather than a long-term commitment. The company views the partnership as an experiment to assess whether participation in AI-driven creative projects makes strategic sense. OpenAI, in this context, was simply the first partner selected to test the model.

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🔥 Google just solved the language barrier

It's been a meme for a long time that google translate, translates but maybe just decent. Now its powered by Gemini, clearly demonstrate that the future has arrived, talk to anyone live in your native language

@aipost 🏴

⚠️ Doctors trust AI but fear who controls it

In early 2025, AI systems crossed a symbolic threshold: large language models began outperforming human doctors in diagnostic accuracy. The expectation was clear, better outcomes, faster care, less burnout. Reality turned out messier.

Doctors actively use AI and see real clinical value. Yet they are deeply unhappy with how AI is being introduced into medicine.

What doctors actually think
• AI improves decision-making and efficiency.
• It makes them better clinicians.
• But control over AI is drifting away from physicians and toward administrators, vendors, and bureaucratic processes.

Why dissatisfaction is so high
1. Doctors are excluded from decisions
• AI policy, procurement, and deployment are discussed without the people who treat patients.
2. Bottom-up adoption, top-down control
• Many doctors pay for AI tools out of pocket because hospitals lag behind.
• When institutions act, they often impose tools doctors didn’t choose.

Key statistics
• 67% use AI daily in clinical work
• 84% say AI makes them better doctors
• 81% are dissatisfied with their employer’s AI implementation pace
• 89% believe dedicated funding for AI tools is necessary
• 71% have little or no influence over which AI tools are adopted
• 48% say employer communication about AI is poor

What’s really worrying
• AI in medicine is advancing faster than governance.
• The people closest to patients trust the technology but not the system managing it.

The risk isn’t AI replacing doctors, it is powerful medical AI being shaped by service providers and bureaucracy instead of clinicians and patients paying the price.

Source: The 2025 Physicians AI Report. Survey of 1,000+ doctors across 106 specialties

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🎵 Meta introduces SAM Audio, AI that isolates any sound from complex audio

A new model, SAM Audio, can now separate individual sounds from complicated audio mixes using text prompts, visual cues, or span selection. This allows creators to extract instruments, voices, or sound effects with unprecedented precision.

The release includes a perception encoder model, benchmarks, and research papers, giving the community the tools to explore, experiment, and build innovative audio applications.

With SAM Audio, previously impossible tasks from advanced remixing to immersive sound design are now within reach, opening new frontiers in audio creativity.

@aipost 🏴

🗣 Yann LeCun says that AGI does not exist and is a poorly defined concept built around an idealized view of human intelligence.

He argues that humans are highly specialized, good at navigating the physical and social world, but weak at many other tasks. We seem general only because we can imagine the problems we are good at. For LeCun, AGI mistakes human limits for universal laws of intelligence.

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Ant Group, the parent company of Alipay, also builds humanoids, and it seems they are focusing particularly on humanoid chefs.

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💰 Amazon invests $10b in OpenAI - OpenAI would start using AWS Trainium

OpenAI is reportedly in talks for $10B+ from Amazon, at a valuation above $500B, and the kicker is strategic: OpenAI would start using AWS Trainium - giving Amazon a flagship “frontier” customer while OpenAI diversifies away from its Nvidia-heavy stack.

Why Amazon cares: It strengthens AWS vs Microsoft by tying OpenAI more tightly into AWS compute + chips.

By now, almost everyone has invested in OpenAI in some way. Whether it's NVIDIA or Microsoft, now Amazon, and so on. This makes OpenAI truly too big to fail.

Source.

@aipost 🏴

🚨 Google releases Gemini 3 Flash, a high-speed AI model at less than a quarter the cost of Gemini 3 Pro.

- Builds on multimodal, coding, and agentic strengths of Gemini 3 Pro, surpassing Gemini 2.5 Pro in many benchmarks with up to 3x faster performance.
- Advanced visual and spatial reasoning with code execution for tasks like zooming, counting, or editing images; supports audio inputs at $1 per million input tokens.
- Excels in PhD-level reasoning with 90.4% on GPQA Diamond and agentic coding with 78% on SWE-bench Verified.
- Context caching offers up to 90% cost savings on repeated tokens; Batch API provides 50% cheaper async processing.
- Pricing set at $0.50 per million input tokens and $3 per million output tokens via Gemini API and Vertex AI.
- Available now through Gemini, Google AI Studio, Google Antigravity, Gemini CLI, Android Studio, and Vertex AI.

Gemini 3 Flash positions as a versatile workhorse for scaling AI applications efficiently.

@aipost 🏴

⚡️ Gemini 3 Flash is significantly faster and more efficient than 2.5 Pro.

Watch as 3 Flash generates complex graphics, 3D models, and a web app before the previous generation even finishes processing

@aipost 🏴