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Ultra-realistic cinematic Christmas interior scene inspired by the reference image. A clean-shaven man with the exact facial features, face shape, skin tone, and proportions of the uploaded photo is sitting casually on a small wooden ladder while decorating a Christmas tree. He is wearing cozy Christmas-themed pajamas: red and green plaid pants, a dark sweater, and a playful Santa hat slightly tilted on his head. His hair and face remain clearly visible, natural and realistic.He is holding a string of colorful Christmas lights in his hands, looking at them with a slightly amused and focused expression. The lights are partially tangled around him and the ladder, creating a fun, candid moment. A fully decorated Christmas tree stands beside him, filled with ornaments, garlands, and warm glowing lights. At the bottom, a friendly dog wearing a small Santa hat looks up toward him, adding warmth and humor to the scene.The environment is a cozy living room with framed artwork on the wall, warm ambient lighting, and a nostalgic holiday atmosphere. Soft shadows, realistic indoor light balance, natural skin texture (no oily look, no plastic skin), shallow depth of field, cinematic color grading, high-end lifestyle photography style, ultra-detailed realism, Nano Banana quality,8K detail, no text, no logos, no watermarks.Ultra-realistic cinematic night scene inspired by the reference image. A clean-shaven man with the exact facial structure, skin tone, and proportions of the uploaded photo stands behind professional DJ decks, fully immersed in a chaotic Christmas party atmosphere. No beard, no Santa hat, hair visible and naturally styled, confident and focused expression.He wears a modern Christmas-themed outfit: a red velvet jacket with white fur trim (Santa-inspired but contemporary), open collar, no costume exaggeration.The DJ booth is surrounded by glowing neon Christmas lights, colorful reflections, and light snowfall particles in the air.Behind him, a vibrant neon sign reads "MERRY XMAS" in bold glowing letters, with festive neon illustrations around it (Santa face outline, bells, Christmas icons). A crowd of people in the background raises their hands, cheering and dancing, slightly blurred for depth.Cinematic lighting with strong neon reds, greens, and warm highlights, dramatic shadows, volumetric light rays, realistic reflections on DJ equipment, sweat-free natural skin texture (no oily look, no plastic skin). Shallow depth of field, high contrast color grading, ultra-detailed facial realism, premium nightlife photography style, high-end editorial realism, NanoBanana quality, 8K detail.Ultra-realistic cinematic indoor night scene. On the LEFT, a man inspired by the uploaded reference photo sits on a couch wearing a cozy but stylish Christmas sweater, holding a PlayStation controller, focused expression. On the RIGHT, The Grinch is sitting next to him, leaning forward aggressively with a controller, competitive grin on his face. A large TV in front shows a blurred football or racing game. Christmas tree lights softly illuminate the room, pizza boxes and energy drinks on the table. Warm ambient lighting mixed with neon TV glow, realistic skin and fur textures, cinematic depth of field, premium lifestyle realism, 8K quality.Ultra-realistic cinematic Christmas portrait inspired by the reference image, without any text or typography. A clean-shaven man with the same facial features, face shape, skin tone, and proportions as the uploaded photo stands centered in a snowy winter forest at night. He is wearing a classic red Santa-style jacket with white fur trim, white gloves, and a wide belt, no Santa hat. His hair is visible and naturally styled, warm confident smile, friendly but premium expression.He carries a large green sack over his shoulders filled with neatly wrapped Christmas gifts in red, green, and gold wrapping paper, decorated with bows. Soft snowfall surrounds him, snow-covered trees fade into the background with cinematic depth. Cool blue winter tones contrast with the warm reds and greens of the outfit and gifts.Cinematic soft lighting, subtle rim light separating the subject from the background, natural skin texture (no oily look, no plastic skin), sharp facial detail, shallow depth of field, luxury holiday editorial photography style, clean composition, no logos, no text, no watermarks, ultra-detailed, Nano Banana quality, 8K realism.A photorealistic portrait of a man wearing a festive red Christmas sweater with green and gold embroidered patterns. He has a well-groomed full beard and neatly styled hair. The man stands in a relaxed pose with his hands in his pockets, looking slightly off-camera with a calm and confident expression. The background is a smooth, rich red gradient with soft studio lighting creating warm highlights and gentle shadows. The overall atmosphere is modern, cinematic, and cozy, emphasizing holiday colors and clean minimal composition.A dramatic close-up portrait of a man wearing a Santa hat and round vintage sunglasses. He is tearing through a sheet of red paper, pulling the ripped edges open with both hands. The man's expression is serious and intense, with a strong facial features. The background is bright red with subtle snow particles floating in the air. Lighting is soft studio lighting with a slightly moody contrast, highlighting the texture of the torn paper and the Santa hat's fluffy white trim. The image should be highly photorealistic, sharp, and cinematic, with a festive but bold atmosphere.Use the woman from my uploaded image with her face preserved exactly. Place her outdoors during gentle snowfall, illuminated by warm golden Christmas lights.Dress her in a chic winter coat with a white scarf. Add soft snowflakes on her hair and shoulders. Ultra-detailed, dreamy Christmas vibe, magazine-cover quality."Create a glamorous Christmas portrait of the same woman from my uploaded image, keeping her facial features unchanged. Style her in a sparkling red sequin dress with soft golden Christmas bokeh lights behind her. Add a subtle warm glow, holiday makeup, and elegant soft curls. Ultra-realistic, cinematic lighting, festive and modern.Create an ultra-realistic Christmas portrait using the same woman from my uploaded image while keeping her face unchanged. Dress her in a luxurious velvet Santa coat with soft white fur trim. Add a perfectly styled Santa hat, glossy holiday makeup, and glowing warm bokeh lights behind her. Rich colors, cinematic realism, sparkling festive atmosphere, Instagram-viral quality.

Its obvious that ChatGPTs writing can sometimes feel robotic. But with the right prompts, it can sound just like a real person. Through trial and error, I found 10 prompts that helped ChatGPT write in a more natural and engaging way. Let’s checkout these prompts and see how they work.ALSO READ: Claude 3.5 Sonnet Update: Everything You Need To KnowGet my Complete AI BundleUnderstanding ChatGPT’s Strengths and LimitationsFrom my experience, ChatGPT has its pros and cons. Here’s a quick breakdown:Strengths:1. Speed: It generates responses quickly, which is great for brainstorming.2. Flexibility: It can help with everything from articles to coding.3. Clear structure: It provides well-organized answers.Limitations:1. Robotic tone: Sometimes, the responses sound too formal.2. Emotionless: It often misses emotional nuance in writing.3. Loses context: In longer conversations, it can forget earlier details.Despite these limitations, ChatGPT can be incredibly useful when completing assignments.For example, if you’re struggling to wrap up your paper, you can use EssayHub to generate conclusions for papers.This tool can help you craft a conclusion that effectively summarizes your main points, reinforces your thesis, and leaves a strong, lasting impression.Whether you’re writing an essay, research paper, or any other academic task, EssayService can ensure your conclusion is well-crafted and aligned with your overall argument.Why Human-like Writing Is Important for ContentWriting that feels human is essential for connecting with readers. Here’s why:1. Engagement: People are more likely to stay interested when the content feels relatable and conversational.Mastering prompts to make AI writing sound authentically human can transform content creation, especially in keeping audiences captivated.When text feels approachable and chatty, it naturally pulls readers in and maintains their attention.Similarly, an effective ad server in the advertising realm employs this principle by serving ads that blend effortlessly into the user journey, ensuring engagement remains high without any disruptive vibes.2. Trust: Natural writing builds a connection, making the writer seem more trustworthy.3. Clarity: Human-like writing simplifies complex ideas, making them easier to understand.4. Tone: A friendly tone creates a more enjoyable reading experience.5. Connection: It feels like you’re having a conversation, which makes the content more memorable.By guiding ChatGPT with the right prompts, we can make sure the writing hits all these marks.Use a Conversational ToneRecently, I was writing a blog post, and the tone felt too formal and stiff. I wanted it to sound more personal, like a conversation. So, I used this prompt:ChatGPT Prompt:Act as if youre speaking to a close friend about [insert topic here]. Keep the tone friendly, light, and engaging. Use casual phrases like [friendly phrase] (‘Here’s what I think...’) or [conversational phrase] (‘You won’t believe this, but...’). Make sure the sentences are short and flow naturally, with relaxed connectors like [connector] (‘So,’ ‘Well,’). Add a few casual questions like [question] (‘What do you think?’ or ‘Can you imagine that?’) to keep the conversation interactive. Don’t be afraid to use informal words to make the reader feel comfortable.ChatGPT Response:Use a Conversational ToneUse a Conversational ToneFrom the response you will notice the relaxed phrases and casual vibe make it feel like you’re just chatting with a friend, which makes the message easier to connect with.Add Personal Stories or ExperiencesChatGPT Prompt:Act as if youre sharing a personal experience to illustrate [insert topic here]. Use relatable phrases like [personal phrase] (‘I once had an experience where...’) or [shared moment] (‘This reminds me of a time when...’). Ensure the story connects directly to the topic, using examples like [specific example] (‘This happened when...’ or ‘I felt the same way when...’). Keep the tone friendly and engaging, so the reader feels like they’re getting real-life insights from you.ChatGPT Response:Add Personal Stories or ExperiencesAdd Personal Stories or ExperiencesNotice how sharing stories makes the response feel real and relatable, like you’re hearing someone’s genuine experience instead of being lectured.Focus on Specific EmotionsChatGPT Prompt:Act as if youre trying to evoke [insert emotion here] in the reader. Use emotional language such as [emotion phrase] (‘It made me feel...’) or [empathy statement] (‘Can you imagine how it feels to...?’). Make sure every part of the text emphasizes this emotion, adding phrases like [emotion-driven description] (‘It was overwhelming...’ or ‘It filled me with joy when...’). The goal is to create an emotional connection that makes the reader feel deeply involved.ChatGPT Response:Focus on Specific EmotionsFocus on Specific EmotionsWhen you tap into emotions, it pulls people in.It’s like feeling hope yourself instead of just reading about it."Include Questions in ResponsesChatGPT Prompt:Act as if youre having a conversation about [insert topic here]. Use questions like [open-ended question] (‘Have you ever thought about...?’) or [reflective question] (‘What would you do if...?’). Make sure the questions encourage the reader to think and engage with the content. Sprinkle in interactive elements, such as [engaging question] (‘How do you feel about that?’), to keep the reader reflecting on the topic throughout.ChatGPT Response:Include Questions in ResponsesInclude Questions in ResponsesAsking questions encourages reflection, turning it into a two-way conversation.It makes you think, rather than just passively reading.Write with Shorter, Simple SentencesChatGPT Prompt:Act as if youre explaining [insert topic here] in the simplest way possible. Use short, clear sentences to make the content easy to follow. Include connectors like [simple connector] (‘Next,’ ‘Then,’) and [transitional phrase] (‘After that,’ ‘Finally,’) to guide the flow. Break down complex ideas into bite-sized chunks, ensuring that each sentence is direct and straightforward to help the reader grasp the message quickly.ChatGPT Response:Write with Shorter, Simple SentencesWrite with Shorter, Simple SentencesBreaking things down into small, easy chunks mirrors how people naturally explain things in person—short, simple, and to the point.Add Humor or LightheartednessChatGPT Prompt:Act as if youre trying to make the reader smile while talking about [insert topic here]. Add lighthearted jokes or playful remarks like [humor phrase] (‘Let’s be real...’) or [funny comparison] (‘It’s like trying to juggle water...’). Make sure the humor fits the context and doesn’t overshadow the main message, using relaxed and casual language to keep the tone fun and engaging. Balance the humor with helpful information, so the reader enjoys the content without losing the key point.ChatGPT Response:Add Humor or LightheartednessAdd Humor or LightheartednessThrowing in a joke or playful remark lightens the mood, making it feel fun, like banter with a friend, not just information.Use Everyday Examples and AnalogiesChatGPT Prompt:Act as if youre explaining [insert topic here] using simple, everyday examples. Use phrases like [analogy phrase] (‘It’s like when...’) or [example phrase] (‘Think of it like...’). Make sure the examples are easy to relate to and connected directly to the topic. Add analogies such as [comparison phrase] (‘It’s kind of like when...’) to make the information easier to understand. The goal is to simplify complex ideas by comparing them to things people experience in their daily lives.ChatGPT Response:Use Everyday Examples and AnalogiesUse Everyday Examples and AnalogiesUsing familiar comparisons makes the concept click faster—it’s easier to understand new things when they’re linked to everyday experiences.Be Direct, Not FormalChatGPT Prompt:Act as if youre giving straightforward advice on [insert topic here]. Use direct language like [simple statement] (‘Here’s what matters...’) or [no-nonsense phrase] (‘Let’s cut to the chase...’). Avoid formal language and keep the tone simple and accessible. Include clear instructions or insights like [directive statement] (‘This is what you should do...’). Make sure the writing feels direct and easy to follow, without unnecessary jargon or complexity.ChatGPT Response:Be Direct, Not FormalBe Direct, Not FormalSkipping the fluff and going straight to useful advice feels refreshing, like talking to someone who knows what matters and gets it.Use Casual ConnectorsChatGPT Prompt:Act as if youre having a casual chat about [insert topic here]. Use informal connectors like [connector phrase] (‘So,’ ‘Anyway,’) to keep the flow natural. Include transitions like [casual transition] (‘By the way,’ ‘Oh, and...’) to make the conversation feel smooth and easy. Avoid stiff transitions, focusing on making the writing sound like a relaxed conversation with a friend. Keep the content connected and flowing naturally from one idea to the next.ChatGPT Response:Use Casual ConnectorsUse Casual ConnectorsInformal connectors like ‘By the way’ or ‘Anyway’ mimic real conversations, making the flow feel natural and easygoing.End with a Call to Action or Thought-Provoking QuestionChatGPT Prompt:Act as if youre wrapping up a conversation about [insert topic here] and want the reader to take action or think deeply. End with a strong call to action like [action phrase] (‘What’s your next step?’ or ‘Try it out today.’) or a reflective question like [thought-provoking question] (‘What do you think?’ or ‘How would you handle this?’). Ensure the ending leaves the reader feeling engaged and motivated to either take action or continue thinking about the topic.ChatGPT Response:End with a Call to Action or Thought-Provoking QuestionEnd with a Call to Action or Thought-Provoking QuestionEnding with a reflective question or call to action leaves the conversation open-ended, giving space for deeper thought or immediate action.How to Use These PromptsUsing these prompts effectively will help you get the most out of ChatGPT’s abilities. Here’s how to approach it:1. Be Clear About Your Goal: Start by understanding what you want ChatGPT to achieve. Whether it’s a conversational tone, humor, or adding emotional depth, decide the outcome before you input the prompt.2. Customize the Placeholders: Each prompt includes placeholders like [insert topic here] and [emotional phrase]. Replace these with specific details related to your content.The more specific you are, the more tailored the response will be.3. Experiment with Variations: Don’t hesitate to tweak the prompts to suit your needs. Try different word choices, sentence structures, or tones to see what works best for your particular project.4. Review and Refine the Output: After ChatGPT generates a response, review it carefully. You may need to make minor adjustments to ensure it sounds just the way you want. The initial output is a starting point that you can refine.5. Combine Multiple Prompts: Sometimes, using a combination of these prompts works best. For instance, you could start with a conversational tone and then add humor or emotion to deepen the connection with your audience. Mix and match to get the perfect result.By following these steps, you can craft responses that sound more natural, engaging, and human-like.Wrapping Up: 10 Prompts That Makes Chatgpt Write like a HumanThese prompts are designed to help you get the best response from ChatGPT’s and make its responses sound more like human writing. With a little practice and customization, you’ll be able to create engaging content that resonates with your audience and achieves your goals. Keep experimenting, refining, and adjusting to find the perfect blend for your needs!

Google has made its most powerful AI video creator, Veo 3, available for everyone to use on its Vertex AI platform. And for those who need to work quickly, a speedier version called Veo 3 Fast is also ready-to-go for quick creative work.Ever had a brilliant idea for a video but found yourself held back by the cost, time, or technical skills needed to create it? This tool aims to offer a faster way to turn your text ideas into everything from short films to product demos.70 million videos have been created since May, showing a huge global appetite for these AI video creation tools. Businesses are diving in as well, generating over 6 million videos since they got early access in June.The real-world applications for Veo 3So, what does this look like in the real world? From global design platforms to major advertising agencies, companies are already putting Veo 3 to work. Take design platform Canva, they are building Veo directly into their software to make video creation simple for their users.Cameron Adams, Co-Founder and Chief Product Officer at Canva, said: “Enabling anyone to bring their ideas to life – especially their most creative ones – has been core to Canva’s mission ever since we set out to empower the world to design.“By democratising access to a powerful technology like Google’s Veo 3 inside Canva AI, your big ideas can now be brought to life in the highest quality video and sound, all from within your existing Canva subscription. In true Canva fashion, we’ve built this with an intuitive interface and simple editing tools in place, all backed by Canva Shield.”For creative agencies like BarkleyOKRP, the big wins are speed and quality. They claim to have been so impressed with the latest version that they went back and remade videos.Julie Ray Barr, Senior Vice President Client Experience at BarkleyOKRP, commented: “The rapid advancements from Veo 2 to Veo 3 within such a short time frame on this project have been nothing short of remarkable.“Our team undertook the task of re-creating numerous music videos initially produced with Veo 2 once Veo 3 was released, primarily due to the significantly improved synchronization between voice and mouth movements. The continuous daily progress we are witnessing is truly extraordinary.”It’s even changing how global companies connect with local customers. The investing platform eToro used Veo 3 to create 15 different, fully AI-generated versions of a single advertisement, each customised to a specific country with its own native language.Shay Chikotay, Head of Creative & Content at eToro, said: “With Veo 3, we produced 15 fully AI‑generated versions of our ad, each in the native language of its market, all while capturing real emotion at scale.“Ironically, AI didn’t reduce humanity; it amplified it. Veo 3 lets us tell more stories, in more tongues, with more impact.”Google gives creators a powerful AI video creation toolVeo 3 and Veo 3 Fast are packed with features designed to give you the control to tell complete stories.Create scenes with sound. The AI generates video and audio at the same time, so you can have characters that speak with accurate lip-syncing and sound effects that fit the scene.High quality results. The models produce video in high-definition (1080p), making it good enough for professional marketing campaigns and demos.Reach a global audience easily. Veo 3’s ability to generate dialogue natively makes it much simpler to produce a video once and then translate the dialogue for many different languages.Bring still images to life. A new feature, coming in August, will let you take a single photo, add a text prompt, and watch as Veo animates it into an 8-second video clip.

A new paper from a Samsung AI researcher explains how a small network can beat massive Large Language Models (LLMs) in complex reasoning.In the race for AI supremacy, the industry mantra has often been “bigger is better.” Tech giants have poured billions into creating ever-larger models, but according to Alexia Jolicoeur-Martineau of Samsung SAIL Montréal, a radically different and more efficient path forward is possible with the Tiny Recursive Model (TRM).Using a model with just 7 million parameters, less than 0.01% of the size of leading LLMs, TRM achieves new state-of-the-art results on notoriously difficult benchmarks like the ARC-AGI intelligence test. Samsung’s work challenges the prevailing assumption that sheer scale is the only way to advance the capabilities of AI models, offering a more sustainable and parameter-efficient alternative.Overcoming the limits of scaleWhile LLMs have shown incredible prowess in generating human-like text, their ability to perform complex, multi-step reasoning can be brittle. Because they generate answers token-by-token, a single mistake early in the process can derail the entire solution, leading to an invalid final answer.Techniques like Chain-of-Thought, where a model “thinks out loud” to break down a problem, have been developed to mitigate this. However, these methods are computationally expensive, often require vast amounts of high-quality reasoning data that may not be available, and can still produce flawed logic. Even with these augmentations, LLMs struggle with certain puzzles where perfect logical execution is necessary.Samsung’s work builds upon a recent AI model known as the Hierarchical Reasoning Model (HRM). HRM introduced a novel method using two small neural networks that recursively work on a problem at different frequencies to refine an answer. It showed great promise but was complicated, relying on uncertain biological arguments and complex fixed-point theorems that were not guaranteed to apply.Instead of HRM’s two networks, TRM uses a single, tiny network that recursively improves both its internal “reasoning” and its proposed “answer”.The model is given the question, an initial guess at the answer, and a latent reasoning feature. It first cycles through several steps to refine its latent reasoning based on all three inputs. Then, using this improved reasoning, it updates its prediction for the final answer. This entire process can be repeated up to 16 times, allowing the model to progressively correct its own mistakes in a highly parameter-efficient manner.Counterintuitively, the research discovered that a tiny network with only two layers achieved far better generalisation than a four-layer version. This reduction in size appears to prevent the model from overfitting; a common problem when training on smaller, specialised datasets.TRM also dispenses with the complex mathematical justifications used by its predecessor. The original HRM model required the assumption that its functions converged to a fixed point to justify its training method. TRM bypasses this entirely by simply back-propagating through its full recursion process. This change alone provided a massive boost in performance, improving accuracy on the Sudoku-Extreme benchmark from 56.5% to 87.4% in an ablation study.Samsung’s model smashes AI benchmarks with fewer resourcesThe results speak for themselves. On the Sudoku-Extreme dataset, which uses only 1,000 training examples, TRM achieves an 87.4% test accuracy, a huge leap from HRM’s 55%. On Maze-Hard, a task involving finding long paths through 30×30 mazes, TRM scores 85.3% compared to HRM’s 74.5%.Most notably, TRM makes huge strides on the Abstraction and Reasoning Corpus (ARC-AGI), a benchmark designed to measure true fluid intelligence in AI. With just 7M parameters, TRM achieves 44.6% accuracy on ARC-AGI-1 and 7.8% on ARC-AGI-2. This outperforms HRM, which used a 27M parameter model, and even surpasses many of the world’s largest LLMs. For comparison, Gemini 2.5 Pro scores only 4.9% on ARC-AGI-2.The training process for TRM has also been made more efficient. An adaptive mechanism called ACT – which decides when the model has improved an answer enough and can move to a new data sample – was simplified to remove the need for a second, costly forward pass through the network during each training step. This change was made with no major difference in final generalisation.This research from Samsung presents a compelling argument against the current trajectory of ever-expanding AI models. It shows that by designing architectures that can iteratively reason and self-correct, it is possible to solve extremely difficult problems with a tiny fraction of the computational resources.See also: Google’s new AI agent rewrites code to automate vulnerability fixesBanner for AI & Big Data Expo by TechEx events.Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and is co-located with other leading technology events including the Cyber Security Expo, click here for more information.AI News is powered by TechForge Media. Explore other upcoming enterprise technology events and webinars here.