Stay up to date with everything about artificial-intelligence — from fresh insights to in-depth explorations, all the details you need in one place.

Your Go-To Source for artificial-intelligence

The 1980s AI photo trend is captivating social media platforms like Instagram and X (formerly Twitter), where users enthusiastically recreate vintage Bollywood looks using AI. This nostalgic wave has sparked interest among enthusiasts eager to transform their photos into classic 1980s-style portraits of Bollywood heroes and heroines, along with iconic movie poster aesthetics.

### The Viral 1980s Bollywood AI Trend

This trend relies on users uploading clear, well-defined photos to achieve the most authentic transformations. Bollywood stars themselves have embraced the craze, sharing AI-generated images styled in signature retro looks. Tools like ChatGPT provide tailored prompts to convert contemporary photos into evocative 1980s Indian cinema visuals, complete with film grain, faded colors, and dramatic lighting effects.

### Key ChatGPT Prompts for 1980s Bollywood Transformations

These prompts serve as a guide for generating classic 1980s Bollywood styles:

**1\. Classic Hero Look**

Try this prompt: “Transform the person in the reference photo into a charismatic Bollywood hero from the 1980s, while preserving his facial identity, bone structure, and distinctive features. Style him with thick, voluminous period-appropriate hair, a slightly dramatic hairstyle, vintage aviator sunglasses, a fitted open-collar shirt, high-waisted trousers, and a leather jacket. Set the scene in an authentic retro Bollywood atmosphere, featuring warm film grain, softly faded colours, dramatic studio lighting, gentle focus, analog 35mm photography, and classic 1980s Indian cinema styling. Capture him in a confident heroic pose with a cinematic expression, shown in a full-body portrait with a nostalgic vintage film aesthetic."

**2\. Glamorous Heroine Style**

Try this prompt: “Transform the person in the reference photo into a glamorous 1980s Bollywood heroine while preserving her facial identity, facial structure, and distinctive features. Style her with voluminous period-inspired hair, expressive eyes, dramatic makeup, statement earrings, a vibrant saree paired with a classic retro blouse, and elegant vintage jewellery. Create a dreamy cinematic atmosphere with soft studio lighting, warm tones, analog 35mm film texture, subtle grain, gently faded colours, and a soft-focus finish. Pose her with confidence and glamour, evoking the presence of a leading actress from an iconic 1980s Hindi film."

**3\. Romantic Movie Poster**

Try this prompt: “Create a romantic 1980s Bollywood film poster featuring the two people in the reference photos as the leading hero and heroine. Maintain their real facial identities, facial structures, and distinctive features. Dress them in authentic 1980s Indian cinema fashion and pose them in an expressive, dramatic romantic embrace. Set the scene against a dreamy sunset with flowing fabric, soft golden lighting, and a delicate misty atmosphere. Use a classic vintage Indian movie-poster composition with hand-painted artwork, rich retro colours, analog 35mm film grain, a slightly weathered print texture, and emotionally expressive poses. Capture the feel of a legendary romantic Hindi film poster from the 1980s."

**4\. Action-Packed Poster**

Try this prompt: “Transform the person in the reference photo into the larger-than-life hero of an imaginary 1980s Bollywood action film while preserving his facial identity and recognisable features. Give him a powerful, commanding stance, thick retro-styled hair, an open shirt, a leather jacket, and vintage sunglasses. Set the scene on an atmospheric old city street lined with vintage cars and dramatic cinematic lighting. Emulate the visual style of classic 1980s Indian action-movie posters with a bold composition, heightened cinematic drama, rich saturated colours, analog print texture, visible film grain, and a slightly weathered paper finish. Make the final image look like an authentic vintage theatrical poster."

**5\. Full 1980s Movie Poster**

Try this prompt: “Create a fully fictional 1980s Bollywood movie poster featuring the people in the reference photos as the lead hero and heroine, while accurately preserving their facial identities and recognisable features. Style them with authentic period hairstyles, clothing, makeup, and accessories. Design the poster in a dramatic, hand-painted Indian cinema style, with the hero and heroine prominently placed in the foreground, smaller portraits of supporting characters in the background, and a sweeping cinematic landscape filled with vintage cars and action-romance elements. Add realistic aged-paper texture, analog printing imperfections, visible film grain, gently faded ink, and classic retro Bollywood typography. The finished artwork should resemble a genuine theatrical poster from a long-lost 1980s Hindi film archive rather than a modern photograph."

**6\. Kerala family portrait prompt**

Try this prompt: "Recreate the photograph as an authentic mid-1980s Malayali family portrait from Kerala. Preserve each person’s natural facial features, identity, and recognisable expression. Dress the women in traditional Kerala kasavu sarees and the men in period-appropriate shirts paired with mundus. Add hairstyles characteristic of the 1980s along with understated traditional jewellery. Set the scene inside a modest Kerala home furnished with wooden furniture and subtle elements of traditional décor, creating a warm, natural, and historically authentic family-portrait atmosphere."

**7\. Kerala wedding portrait prompt**

Try this prompt: "Transform the photograph into an authentic 1980s Kerala wedding portrait while preserving the subjects’ original facial features, identities, and recognisable expressions. Dress the woman in a traditional kasavu saree complemented by classic Kerala gold jewellery, and style the man in a traditional mundu. Give them natural hairstyles appropriate to the 1980s and place them against a simple, understated wedding-studio backdrop. Use warm studio lighting, gentle soft focus, subtle analogue film grain, and slightly faded yet realistic colours. Maintain a natural vintage appearance without excessive sepia tones or artificial ageing effects."

### Enhancing Your AI-Generated Images

If initial AI outputs aren't satisfactory, refining the prompts with more detailed directions can enhance authenticity. Users are encouraged to experiment with lighting effects, clothing details, and film grain levels to perfectly capture the vintage Bollywood spirit.

Those interested in more AI tools can explore [the top AI image generators](https://easemyprice.com/the-10-best-ai-image-generators) to expand their creative possibilities.

### How to Create Your Own 1980s Bollywood AI Image

1.  Open ChatGPT.
2.  Upload a clear photo.
3.  Input one of the detailed 1980s Bollywood prompts.
4.  Generate and review the AI-created image.

This process offers a seamless way to relive and share the glamour of 1980s Bollywood aesthetics combined with modern AI capabilities.

thumbnail_Chat Gpt 1980 retro style Image.jpg

Chat Gpt 1980 retro style Image.jpg

Explore authentic ChatGPT prompts to recreate nostalgic 1980s Bollywood aesthetics using AI-generated images.

1980s AI Photo Craze - 7 ChatGPT Prompts to Design Bollywood Hero, Heroine Styles, and Movie Posters

Modern workplaces, seeking the promise of innovation, speed, and efficiency, have rapidly adopted artificial intelligence. However, this quick adoption often results in a "messier" reality, as companies pressure themselves to integrate AI quickly to avoid falling behind competitors.

New research indicates that rather than saving time, poorly managed AI implementation is actively costing large organizations millions of dollars and thousands of man-hours annually.

This drain on resources is due to a phenomenon termed **"workslop"** by the [Harvard Business Review](https://hbr.org/2025/09/ai-generated-workslop-is-destroying-productivity) (HBR).

While large language models (LLMs) are adept at producing grammatically correct sentences, their output frequently lacks clarity and accuracy. Without necessary human review, these AI-generated documents create more confusion than progress, shifting effort "downstream" and bogging down the very workplace processes AI is meant to make faster.

Research conducted by HBR's BetterUp Labs and the Stanford Social Media Lab highlights the scale of this problem.

These studies show that AI-generated documents often appear "polished" but lack the required substance needed to advance a task.

A Stanford ongoing survey of US-based full-time employees found that a significant **40 percent reported receiving such low-quality outputs** in the past month.

![AI Workslop Costs Companies Millions in Productivity Losses](https://ik.imagekit.io/easemp/emp/images/W250911_ROSEN_KELLERMAN_AI_WORKSLOP_360_1172x2048_7eca558575__2yeOS4gA.avif)

The time expenditure for cleanup is considerable. Workers spend nearly **two hours per incident** correcting or interpreting these substandard outputs. When multiplied across large companies, these lost hours result in thousands of lost workdays each year and millions of dollars in wasted effort, representing a significant hidden cost.

Despite the challenges, AI adoption is soaring, with Gallup reporting that the number of US employees using AI at least a few times annually has nearly doubled in recent years.

Yet, this increasing usage is often not yielding returns. An MIT Media Lab study found that **fewer than one in ten AI projects delivered real revenue gains**, cautioning that "95 percent of organizations are getting zero return" on their AI investments.

Beyond the financial impact, the social and emotional cost of dealing with workslop is substantial.

The frustration caused by failed automation shows clearly in employee accounts. One retail director, cited by the HBR, described his deep dissatisfaction with the company’s AI rollout.

He explained: "I had to waste more time following up on the information and checking it with my own research." He added that he then spent even more time arranging meetings with other supervisors and, in the end, had to redo the work himself.

This frustration is widespread. Survey results reveal significant emotional consequences for recipients of AI workslop:

*   Over half of respondents (53 percent) reported feeling **annoyed** after receiving low-quality AI outputs.
*   Nearly a quarter (22 percent) reported feeling **offended**.

Furthermore, colleagues who submit low-quality AI work are often perceived as less reliable or capable, demonstrating how AI missteps can "ripple through team dynamics".

Experts point out that the main issue is not the technology itself but the way companies choose to roll it out.

Broad mandates to use AI in every situation often result in careless copy-paste usage rather than careful, targeted application. To reduce workslop, researchers suggest three key practices:

*   **Set Clear Boundaries:** Define exactly where AI is genuinely useful.
*   **Design Thoughtful Workflows:** Put in place structured processes for integrating AI.
*   **Lead by Example:** Managers should demonstrate selective and purposeful use of AI.

In practice, this may mean restricting AI to early drafts or routine summaries. Final outputs must still undergo **human review**. When leaders model this selective and careful use, employees are more likely to see AI as a helpful tool instead of a shortcut.

AI Workslop Costs Companies Millions in Productivity Losses

thumbnail_artificial intelligence at workplace.jpg

artificial intelligence at workplace.jpg

Poorly managed AI adoption is draining companies of time and money. Learn how 'workslop' from AI tools is slowing productivity, frustrating employees, and wasting millions annually.

Companies Are Losing Money to AI 'Workslop' That Slows Everything Down

The landscape of AI image generation is evolving at breakneck speed. Every week seems to bring a new model that pushes the boundaries of what's possible with artificial intelligence. From photorealistic outputs to creative artwork and precise image editing, today's AI image generators have become indispensable tools for creators, designers, and everyday users alike.

In this comprehensive guide, we'll explore the top 10 AI image generators of 2026, examining their strengths, limitations, and ideal use cases to help you choose the perfect tool for your needs.

## Quick Overview: Best AI Image Generators at a Glance

| **AI Tool** | **Best For** | **Starting Price** |
| --- | --- | --- |
| Gemini Nano Banana | Image editing, character transformation | Free |
| Midjourney | Conceptual art, stylized designs | $8/month |
| ChatGPT | Easy image generation and editing | Free |
| Seedream 4.0 | High-resolution output up to 4K | Free |
| Leonardo AI | Design assets, creator workflows | Free (limited) |
| Higgsfield AI | Access to multiple top models | $9/month |
| Flux .1 Kontext Max | Consistent editing across generations | Free |
| Recraft V3 | Icons, logos, and posters | Free |
| Ideogram 3.0 | Text rendering and typography | Free |
| Reve V1 | Multi-image contextual editing | Free |

## How to Create AI Images: A Quick Guide

Creating AI images is remarkably straightforward, similar to chatting with an AI assistant. Here's how to get started:

### Basic Text-to-Image Generation

1.  **Use natural language:** Describe what you want to see as if explaining it to another person
2.  **Be specific:** Include details about style, colors, composition, mood, and subjects
3.  **Start your prompt:** Many platforms respond well to prompts beginning with "Create an image of..." or "Generate..."
4.  **Iterate:** Refine your prompt based on the initial results

### Example Prompts

*   **Simple:** "Create an image of a sunset over the ocean"
*   **Detailed:** "Generate a photorealistic image of a golden sunset over a calm ocean, with dramatic orange and purple clouds, a sailboat in the distance, and gentle waves reflecting the sunset colors"
*   **Stylized:** "Create a cyberpunk-style illustration of a futuristic city at night, with neon lights, flying cars, and rain-slicked streets"

### Image Editing with AI

Many modern AI image generators support conversational editing:

1.  **Upload your image:** Start with an existing photo or AI-generated image
2.  **Describe changes:** Use text to explain what you want to modify
3.  **Use selection tools:** Some platforms let you highlight specific areas to edit
4.  **Iterate:** Make multiple rounds of changes to refine the result

The key is experimentation. The more detailed and specific your prompts, the better your results will be.

## Choosing the Right AI Image Generator

With so many excellent options available, choosing the right tool depends on your specific needs:

*   **For beginners:** Start with ChatGPT or Gemini Nano Banana—both are free, easy to use, and require no technical knowledge.
*   **For designers:** Consider Recraft V3 or Ideogram 3.0 for their superior text rendering and design-focused features.
*   **For artists and creators:** Midjourney remains the gold standard for stylized, aesthetic artwork.
*   **For high-resolution professional work:** Seedream 4.0 offers 4K generation at no cost.
*   **For versatility:** Leonardo AI or Higgsfield AI provide access to multiple models and comprehensive editing tools.
*   **For consistent editing:** Gemini Nano Banana and Flux .1 Kontext Max excel at maintaining coherence across edits.

## The Future of AI Image Generation

The rapid evolution of AI image generators shows no signs of slowing down. We're witnessing improvements in consistency, resolution, text rendering, and editing capabilities at an unprecedented pace. Many tools that were paid-only just months ago now offer free tiers with generous allowances.

As these models continue to improve, they're becoming indispensable tools for professionals and hobbyists alike. Whether you're a graphic designer, marketer, content creator, or simply someone who wants to bring their imagination to life, there's never been a better time to explore AI image generation.

The tools listed in this guide represent the current state of the art, but remember: this is a rapidly evolving field. New models and capabilities emerge regularly, so it's worth staying informed about the latest developments.

thumbnail_Nano banana Prompt.jpg

Nano banana Prompt.jpg

The 10 Best AI Image Generators in 2026: A Comprehensive Guide

Apple is reportedly close to sealing a $1 billion partnership with Google to integrate the Gemini AI model into the next generation of Siri, according to a new report from [Bloomberg](https://www.bloomberg.com/news/articles/2025-11-05/apple-plans-to-use-1-2-trillion-parameter-google-gemini-model-to-power-new-siri). The collaboration marks a rare move by Apple to rely on a rival’s artificial intelligence technology, highlighting the company’s determination to catch up in the fast-evolving AI race.

Sources familiar with the matter suggest that Apple will use a _custom version_ of Google’s Gemini AI model to power Siri’s upgraded capabilities. The deal is expected to be finalized soon, with the revamped Siri slated for launch in **spring 2026**.  
Apple intends to use Gemini as a temporary solution while it continues developing its own advanced AI model for long-term deployment.

**ALSO READ:** [**X Is Training Grok AI on Your Posts: Easy Steps to Opt Out**](https://easemyprice.com/disable-grok-ai-training-x-posts)

The report notes that Gemini’s custom version packs an impressive **1.2 trillion parameters**, significantly more than Apple’s current 150 billion-parameter cloud-based AI system. This massive leap in model size means Gemini can process far more complex queries, contextual tasks, and natural language understanding compared to Apple’s in-house tools.

![Apple store ](https://ik.imagekit.io/easemp/emp/images/apple_store_7a25499acb_TWrB5GB7C2.jpg)

While Apple has traditionally preferred to develop its technologies in-house, the rapid advancements from rivals like OpenAI, Google, and Anthropic have prompted the Cupertino giant to reconsider its stance.  
In recent months, Apple has reportedly explored multiple options — including potential collaborations with **OpenAI** and **Anthropic**, as well as **plans to acquire Perplexity AI** — but the Gemini deal appears to be its most viable path forward in the short term.

Industry analysts see this move as a strategic bridge, enabling Apple to deliver enhanced AI features across iPhones, iPads, and Macs without waiting for its internal AI infrastructure to mature. Once Apple’s proprietary model is ready, the company is expected to transition Siri away from Google’s system entirely.

The upcoming Siri overhaul is expected to integrate with Apple’s broader “Apple Intelligence” initiative, bringing features like context-aware assistance, smarter summarization, and improved conversational understanding.  
If finalized, this deal could reshape how Apple approaches AI collaboration — signaling that even the world’s most secretive tech giant isn’t immune to the urgency of the AI revolution.

For now, both Apple and Google have declined to comment on the reported agreement.

thumbnail_post_image_1200x675.jpg

post_image_1200x675.jpg

Apple is nearing a $1 billion deal with Google to use its Gemini AI model for the next-generation Siri, according to Bloomberg. The revamped Siri is expected in spring 2026.

Apple Turns to Google’s Gemini in a $1 Billion Deal to Power Next-Gen Siri

X, the platform once known as Twitter, has been using your posts to train its Grok AI model without much fanfare. This default setting caught many by surprise when an observant user spotted it buried in the app's options.

The discovery highlighted a Data Sharing toggle that's on from the start. It allows your posts, chats with Grok, and other interactions to help fine-tune the AI.

What stands out is the lack of upfront notice. Elon Musk's X flipped this switch quietly, skipping user consent. Early on, turning it off required the web version, leaving app users in the lurch.

[Grok's help page explains](https://help.x.com/en/using-x/about-grok) this as a way to boost user experience. It states that posts and interactions may enhance the system's performance over time.

But privacy concerns have grown. Similar moves by other companies have sparked debates on data ethics in AI development.

## How to Disable Grok AI Training on Your Posts

You no longer need to stick to the web for this. Recent updates let you opt out directly from the mobile app too, making it more convenient.

1.  Start by opening X on your browser.
2.  Navigate to [x.com/settings/grok\_settings](https://x.com/settings/grok_settings). This will lead to **Grok & Third-Party Collaborators** page
3.  Look for **Data Sharing**.![grok Setting.png](https://ik.imagekit.io/easemp/emp/images/grok_Setting_44fec3d17b_U5xtO0zlon.png)
4.  Uncheck the box that says Allow your posts as well as your interactions, inputs, and results with Grok to be used for training and fine-tuning.

If the path varies slightly, try directly under Privacy and Safety > Grok. This should toggle off the data use.

For extra caution, you can delete your Grok conversation history. This erases past inputs that might have been used.

Making your account private is another layer. It limits who sees your posts, indirectly reducing data exposure for training.

These steps align with broader trends. For instance, Meta has faced backlash for training AI on Instagram and Facebook content, with a complex opt-out process. 

OpenAI does something similar with ChatGPT chats. 

Tech firms are ramping up AI with user data, often sidelining consent. X's approach drew EU scrutiny, leading to a temporary halt in data processing there.

As of 2025, the opt-out remains available, but always verify in your settings for any changes.

thumbnail_GrokAI.jpg

GrokAI.jpg

X quietly enables Grok AI to train on user posts and interactions; opt out via settings to safeguard your privacy.

X Is Training Grok AI on Your Posts: Easy Steps to Opt Out

The world of brand optimization is undergoing a massive transformation. Traditional search engines, long the backbone of digital visibility, are being challenged by emerging Large Language Models (LLMs) such as ChatGPT, Perplexity, and Google’s AI Overview. 

These AI-driven systems no longer present endless search results but instead deliver authoritative, single-answer responses. 

As Timothy Young, CEO of Jasper.ai, notes, this represents the “biggest disruption since Google launched,” fundamentally changing how customers discover, learn about, and interact with companies.

This disruption means that the old search engine optimization (SEO) playbook is no longer sufficient. 

Instead, businesses must pivot to a new approach: **Answer-Engine Optimization (AEO)**. Also referred to as AI Optimization (AIO) or Generative-Engine Optimization (GEO), AEO is about ensuring brands are visible and trusted in an AI-first digital ecosystem.

## 1\. Understanding the New Landscape and Auditing Presence

Brands can no longer rely on keyword bidding or the well-worn rules of traditional SEO. 

In the world of LLMs, visibility is shaped by opaque algorithms that favor clarity, authority, relevance, and structured knowledge. 

According to the [HBR article](https://hbr.org/2025/09/is-your-brand-optimized-for-ai-search), successful AI‑search optimization depends not just on being discoverable, but also on being trusted and extractable by the model.

To begin adapting, companies should carry out a systematic **audit of their AI presence**, focusing on three core areas:

**Run Repetitive Prompt Tests Across AI Platforms**

*   Use the same prompts across multiple LLMs (ChatGPT, Perplexity, Google’s AI Overview, and others) to observe how, where, and in what form the brand appears.
*   Vary the phrasing, levels of detail, and query context to test robustness (e.g., “What is X brand’s main product?”, “Tell me X brand’s origin story,” “Compare X brand vs competitor Y”).

**Evaluate the Quality of Brand Mentions**

*   Measure the depth and accuracy of the information produced: Are the brand’s key attributes and differentiators being captured or reduced to superficial statements?
*   Check whether the brand’s visual identity (logo, product images) or named mentions show up in AI-generated responses.
*   Look for embedded links (when available) back to the brand’s site or official sources.

**Measure Traffic and Engagement from LLMs**

*   Use analytics to segment and track traffic coming from AI-derived sources.
*   Monitor if users arriving from LLM results follow typical engagement paths (time on page, bounce rate, further clicks) compared to organic search traffic.

This audit is not just about whether your brand appears, but how well it appears—and what happens after users land. Over time, these insights become the foundation for refinement and iteration in the AEO strategy.

## 2\. Shifting Content Focus to Bot Consumption and Trusted Forums

LLMs don’t index and rank the web like search engines. Instead, they pull from trusted, structured, and semantically rich sources. To succeed, brands must become “extractable” and authoritative in how AI models read and trust their signals.

**Optimize Owned Content for AI Consumption**

*   Use **semantic structures** such as clear headings, bullets, lists, and tables that make information scannable for AI.
*   Provide **attribute lists** (features, specs, benefits) in structured formats so models can surface them in answers.
*   Add **citations and authoritative references** within content to signal reliability.
*   Keep information **updated** so that AI systems treat the brand as a timely source.

**Strengthen Trust Signals Across Sources**

*   Maintain a consistent, accurate **Wikipedia presence** and entries in respected databases.
*   Monitor and engage in **Reddit and other forums** where brand reputation is shaped. Correct misinformation and ensure your perspective is visible.
*   Encourage **earned media and third-party validation**, such as industry reviews or citations, to strengthen credibility.

**Leverage Multi‑Modal & Video Platforms**

*   Build a strong **YouTube presence**, as video is a frequent source for AI models.
*   Provide **transcripts, captions, and metadata** so video content is extractable.
*   Cross-link video with blogs, FAQs, and forums to create a unified knowledge ecosystem.

By orchestrating this kind of ecosystem, brands not only diversify their presence but also make themselves the authoritative answer AI is most likely to present.

## 3\. Using AI for Adaptive Strategy

Because AEO is still an emerging field, brands must adopt an **iterative, feedback-driven approach**. AI optimization is not a one-time effort—it’s a continuous cycle of probing, assessing, and refining content.

**Probe AI with AI — Ask, Test, Reflect**

*   Submit prompts to multiple LLMs not only to see if the brand appears, but _how_ and _why_ it is included. Example: “Why did you select Brand X as the top answer?”
*   Test content variants: different headlines, Q&A formats, narrative styles. Ask AI which version it would surface and why.

**Monitor Competitor Signals & Messaging**

*   Track which competitors are cited more favorably by AI. Analyze the content mix (reviews, best-seller lists, community mentions) that supports their presence.
*   Identify the underlying factors—structured data, authoritative third-party citations, forum engagement—and integrate similar signals into your content strategy.

**Iterate Continuously**

*   Schedule regular **content refreshes**: update stats, product details, and methodology to ensure AI sees the most current information.
*   Track AI-specific metrics: sessions from LLMs, engagement patterns, and bounce rates.
*   Use A/B tests for headings, answer structures, and content formats; then re-query AI to observe performance improvements.

**Guard Against AI Hallucinations**

*   Conduct periodic **fact-check prompts** to detect misinformation AI might generate about your brand.
*   Publish clarifications, corrections, or authoritative posts so AI can reference accurate information.
*   Include **source blocks and citations** in content to reduce hallucinations and increase trust signals.

**Use Multi-Source Signal Reinforcement**

*   Link content across channels (site → YouTube → forum posts → Wikipedia) to show coherent, reinforced information.
*   Encourage third-party mentions and citations, as AI models often favor content corroborated across multiple trusted sources.

By embedding these adaptive strategies, brands can continuously refine their visibility and authority within AI-driven ecosystems, ensuring they remain the trusted answer LLMs present.

Brand optimization strategies must shift fundamentally in the age of LLMs. The move from SEO to **AEO**—from optimizing for search engines to optimizing for AI-driven answer engines—marks a new era of digital visibility. Success requires conducting thorough audits, structuring content for AI consumption, building trust in key communities, and using AI itself as a guide to adapt strategies.

In this AI-first world, visibility is not just about ranking—it’s about being the trusted, authoritative answer that LLMs choose to present.

Optimizing Brands for the Age of Large Language Models (LLMs): From SEO to AEO

thumbnail_Artificial intelligence.jpg

Artificial intelligence.jpg

Learn how to shift from SEO to AEO for LLMs and make your brand the trusted answer in AI-driven search results.

Optimize Your Brand for AI Search with AEO Strategies

[Google](https://easemyprice.com/tag/google) is doubling down on artificial intelligence in its Search platform, announcing an upgrade to its popular AI Overviews feature and the launch of a new experimental "AI Mode" on March 5, 2025. The updates, powered by the advanced Gemini 2.0 model, aim to make searching smarter, faster, and more accessible than ever before.

## AI Overviews Get Smarter and Wider Reach

AI Overviews, already a hit with over a billion users, are now running on Gemini 2.0 in the U.S. This upgrade enhances the feature’s ability to tackle complex queries like coding, advanced math, and multimodal searches think questions that blend text, images, and more. According to Robby Stein, Google’s VP of Product for Search, the result is “faster and higher quality responses” that appear more frequently for tough topics.

The rollout also expands access: teens can now use AI Overviews, and you no longer need to log in to try it. Google says these changes reflect growing demand, as people increasingly turn to Search for help with intricate, nuanced questions.

## Meet AI Mode: A New Way to Search

For power users craving even more AI-driven answers, Google is introducing AI Mode, an experimental feature available through its Labs program. Built on a custom version of Gemini 2.0, AI Mode takes search to the next level with advanced reasoning and multimodal capabilities. It’s designed for complex, multi-part questions like comparing sleep-tracking features across smart rings, watches, and mats delivering clear, comprehensive responses with follow-up options and web links.

What sets AI Mode apart? It combines Gemini’s brainpower with Google’s vast information systems, including real-time data from the Knowledge Graph and shopping details for billions of products. Using a “query fan-out” technique, it runs multiple related searches at once, stitching together a single, easy-to-read answer. “It’s about helping people explore new concepts or detailed options in one go,” Stein explains.

## Testing and What’s Next

AI Mode is now in early testing, with Google One AI Premium subscribers getting first dibs via Labs. Feedback from internal testers praises its speed and freshness, though Google admits there’s room to grow. “As with any early-stage AI product, we won’t always get it right,” Stein notes, citing challenges like ensuring factuality and avoiding unintended biases in responses. Upcoming updates will add visual elements like images and video, plus richer formatting.

For now, Google remains committed to connecting users with web content, ensuring AI Mode serves as a bridge to high-quality sources rather than a replacement. As testing ramps up, the company promises rapid improvements based on user input.

## Why It Matters

With these updates, Google is betting big on AI to keep Search relevant in an era of evolving user needs. Whether you’re a teen puzzling over math homework or an adult diving into product comparisons, the latest AI tools aim to make finding answers effortless and maybe even a little fun.

Stay tuned for more as Google refines these features. For now, AI Overviews and AI Mode signal a bold step forward for the search giant.

large_ai-mode-in-google-search.webp

medium_ai-mode-in-google-search.webp

small_ai-mode-in-google-search.webp

thumbnail_ai-mode-in-google-search.webp

ai-mode-in-google-search.webp

Google enhances AI Overviews with Gemini 2.0 and introduces AI Mode, an experimental Search feature for complex queries. Discover the latest AI-driven updates.

Google Unveils AI Overviews Upgrade and Experimental AI Mode

On April 14, 2025, OpenAI introduced a new family of models named GPT-4.1, GPT-4.1 Mini, and GPT-4.1 Nano. These models are built to be excellent at coding and following complex instructions. They are available through OpenAI’s API but not on ChatGPT. Each model has a 1 million token context window, which means they can handle about 750,000 words at once.

OpenAI says the GPT-4.1 models are a big step toward their goal of creating an Agentic Software Engineer. This is what CFO Sarah Friar shared at a tech summit in London last month. The company wants future models to code entire apps from start to finish, including tasks like quality assurance, bug testing, and writing documentation.

The full GPT-4.1 model scored 55% on the SWE-Bench benchmark, a test that measures coding skills. This is better than OpenAI’s earlier models like GPT-4o and GPT-4.5 in some areas. On a human-validated subset called SWE-Bench Verified, GPT 4.1 scored between 52% and 54.6%. However, competitors like Google’s Gemini 2.5 Pro scored 63.8%, and Anthropic’s Claude 3.7 Sonnet scored 62.3% on the same test. 

In another test called Video MME, which checks how well models understand video content, GPT 4.1 achieved 72% accuracy in the "long, no subtitles" category, topping the charts according to OpenAI.

The GPT 4.1 Mini and Nano models are designed to be faster and more efficient, though they may be slightly less accurate. GPT 4.1 Nano is OpenAI’s fastest and cheapest model yet. Pricing for these models is affordable, [GPT 4.1 costs $2 per million](https://platform.openai.com/docs/pricing) input tokens and $8 per million output tokens, GPT 4.1 Mini is $0.40 per million input tokens and $1.60 per million output tokens, and GPT 4.1 Nano is $0.10 per million input tokens and $0.40 per million output tokens.

These models come as OpenAI faces tough competition from companies like Google, Anthropic, and a Chinese startup DeepSeek. 

A Stanford University report notes that Google and DeepSeek now match OpenAI’s abilities in some AI tasks. [Google’s Gemini 2.5 Pro also has a 1 million token context window](https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/#gemini-2-5-thinking) and ranks high on coding benchmarks, just like Anthropic’s Claude 3.7 Sonnet and DeepSeek’s V3.

OpenAI has worked to make GPT-4.1 better for real-world coding tasks. They improved areas like frontend coding, making fewer unnecessary edits, following formats correctly, and using tools consistently, based on feedback from developers. 

Kevin Weil, OpenAI’s chief product officer, said during a livestream that these models are great for building AI agents and coding. Developers have already shared positive feedback, with some noting that a test version of GPT 4.1, codenamed Alpha Quasar, fixed issues they faced with other AI-generated code.

However, OpenAI admits that GPT 4.1 has limits. It becomes less reliable with more input tokens, dropping from 84% accuracy with 8,000 tokens to 50% with 1 million tokens on their own test, OpenAI MRCR. 

It can also be more "literal" than GPT-4o, meaning users might need to give more specific prompts. Studies also show that even the best AI models today can struggle with tasks experts find easy, like fixing security issues or avoiding bugs in code.

large_Open AI.png

medium_Open AI.png

small_Open AI.png

thumbnail_Open AI.png

Open AI.png

OpenAI releases GPT 4.1, Mini, and Nano models on April 14, 2025, excelling in coding with a 55% SWE-Bench score, aiming to compete with Google and Anthropic.

OpenAI Releases New GPT 4.1 Models for Better Coding

Microsoft has unveiled a significant enhancement to its Microsoft 365 ecosystem by integrating its advanced AI assistant, Copilot, into the Personal and Family subscription tiers. This move marks a strategic effort to democratize AI capabilities across its user base, although it comes with a corresponding subscription price increase to support the expanded features.

## Copilot Integration and Features

Previously available only through the Copilot Pro subscription, Copilot is now accessible to all Microsoft 365 Personal and Family subscribers. This AI assistant is embedded within applications such as Word, Excel, PowerPoint, Outlook, and OneNote, enabling users to generate content, draft emails, organize notes, and create images using AI capabilities. Additionally, Microsoft Designer has been incorporated to assist with image editing and creation.

## Subscription Price Increase

To accommodate these new features, Microsoft is increasing the subscription prices for Microsoft 365 Personal and Family plans by $3 per month. The updated pricing is as follows:

*   **Microsoft 365 Personal**: Now $9.99 per month or $99.99 annually.
*   **Microsoft 365 Family**: Now $12.99 per month or $129.99 annually. This plan supports up to six users.

Existing subscribers will experience the price increase upon their next renewal. For those who prefer to maintain their current pricing without the AI features, Microsoft offers alternative plans such as the "Personal Classic" and "Family Classic" plans.

## AI Credits and Usage

Subscribers will receive a monthly allotment of AI credits to utilize Copilot features. These credits can be used across various applications, with the option to purchase additional credits if needed. For users requiring unlimited AI usage and access to the latest AI models, the Copilot Pro subscription remains available at $20 per month.

## User Control and Feedback

Microsoft acknowledges that there are scenarios where AI assistance may not be desired, such as during academic examinations. To address this, settings are being added in applications like Word, Excel, and PowerPoint, allowing users to disable or enable Copilot as needed. Additionally, Microsoft assures users that their prompts will not be used to train the company's models, maintaining user privacy.

## Global Expansion and Market Response

Initially, these updates are being rolled out in specific regions, including Australia, New Zealand, Malaysia, Singapore, Taiwan, and Thailand, with plans to expand to other markets over time. This move is part of Microsoft's broader strategy to integrate AI capabilities across its services, aiming to enhance user productivity and maintain competitiveness in the evolving tech landscape.

While some users have expressed enthusiasm for the new AI features, others have raised concerns about the mandatory integration and associated price increase. Microsoft emphasizes that users have the option to switch to plans without Copilot or AI credits if they prefer to avoid the price hike.

## Global Expansion and Market Response

Initially, these updates are being rolled out in specific regions, including Australia, New Zealand, Malaysia, Singapore, Taiwan, and Thailand, with plans to expand to other markets over time. This move is part of Microsoft's broader strategy to integrate AI capabilities across its services, aiming to enhance user productivity and maintain competitiveness in the evolving tech landscape.

While some users have expressed enthusiasm for the new AI features, others have raised concerns about the mandatory integration and associated price increase. Microsoft emphasizes that users have the option to switch to plans without Copilot or AI credits if they prefer to avoid the price hike.

Microsoft integrates copilot AI into Microsoft 365

large_Microsoft copilot.png

medium_Microsoft copilot.png

small_Microsoft copilot.png

thumbnail_Microsoft copilot.png

Microsoft copilot.png

Microsoft has announced the integration of its AI assistant, Copilot, into Microsoft 365 Personal and Family subscriptions, accompanied by a subscription price increase.

Microsoft Integrates Copilot AI into Microsoft 365, Implements Subscription Price Increase

OpenAI has finally launched its highly anticipated text-to-video model, Sora. This groundbreaking AI technology allows users to transform written text into realistic videos with ease. And the best part is that it is now available to ChatGPT Plus and Pro users at no extra cost. 

Sora is OpenAI's latest innovation in the field of artificial intelligence, and it's set to revolutionize the way we create content. With this model, users can generate videos up to 20 seconds long, with resolutions up to 1080p. The possibilities are endless from creating stunning explainer videos to crafting engaging social media clips.

But that's not all. Sora also comes equipped with advanced tools and features, including a storyboard feature that allows users to input precise specifications for each frame. This means creators can have even more control over their content, blending their own images or videos with generated content to create truly unique pieces.

The platform also includes community features like Featured and Recent feeds, where users can showcase their creations and discover new talent. With OpenAI's commitment to safety and transparency, users can rest assured that Sora-generated videos include C2PA metadata to verify their origin and feature visible watermarks by default.

For those who need more advanced features or higher resolutions, the Pro plan offers 10 times more usage, extended durations, and tailored pricing options. And with OpenAI's promise to roll out these plans early next year, users can expect even more flexibility and control over their content creation.

As OpenAI CEO Sam Altman said, "We hope this early version of Sora will enable people everywhere to explore new forms of creativity, tell their stories, and push the boundaries of what's possible with video storytelling."

With Sora now available to Plus and Pro users, the possibilities are endless. So why wait? Dive into the world of text-to-video creation today and discover the limitless potential of OpenAI's revolutionary technology.

large_OpenAi Sora - Text to video AI.jpg

medium_OpenAi Sora - Text to video AI.jpg

small_OpenAi Sora - Text to video AI.jpg

thumbnail_OpenAi Sora - Text to video AI.jpg

OpenAi Sora - Text to video AI.jpg

Get ready to create stunning videos with ease! OpenAI's revolutionary text-to-video model, Sora, is now available to ChatGPT Plus and Pro users at no extra cost.

AI

1980s AI Photo Craze - 7 ChatGPT Prompts to Design Bollywood Hero, Heroine Styles, and Movie Posters

1980s AI Photo Craze - 7 ChatGPT Prompts to Design Bollywood Hero, Heroine Styles, and Movie Posters

Companies Are Losing Money to AI 'Workslop' That Slows Everything Down

Companies Are Losing Money to AI 'Workslop' That Slows Everything Down

The 10 Best AI Image Generators in 2026: A Comprehensive Guide

The 10 Best AI Image Generators in 2026: A Comprehensive Guide

Apple Turns to Google’s Gemini in a $1 Billion Deal to Power Next-Gen Siri

Apple Turns to Google’s Gemini in a $1 Billion Deal to Power Next-Gen Siri

X Is Training Grok AI on Your Posts: Easy Steps to Opt Out

X Is Training Grok AI on Your Posts: Easy Steps to Opt Out

Optimize Your Brand for AI Search with AEO Strategies

Optimize Your Brand for AI Search with AEO Strategies

Google Unveils AI Overviews Upgrade and Experimental AI Mode

Google Unveils AI Overviews Upgrade and Experimental AI Mode

OpenAI Releases New GPT 4.1 Models for Better Coding

OpenAI Releases New GPT 4.1 Models for Better Coding

Microsoft Integrates Copilot AI into Microsoft 365, Implements Subscription Price Increase

Microsoft Integrates Copilot AI into Microsoft 365, Implements Subscription Price Increase

OpenAI's Sora: Revolutionary Text-to-Video Model Now Available to Plus and Pro Users

OpenAI's Sora: Revolutionary Text-to-Video Model Now Available to Plus and Pro Users

RESOURCES

CONNECTIONS