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Creativity and creative writing have always pushed humanity forward and shaped our lives, inspiring generations after generations. Now, creative writing is finally getting a substantial boost, marking an exciting time.

Are current LLMs incompatible with great creative writing? I can't tell if it's cope or not, but it seems like even with the best models, I still can't get them to write like humans would. For coding, there is a verifiable reward like it compiling or tests passing. But for creative work like writing, it's much more subjective. I have struggled to prompt / harness the models to write truly amazing work. They are fantastic for spell checking, grammar suggestions, and taking on different personas to read and critique work. Maybe it's because I'm only doing nonfiction, and to write something top 0.1% means that you need to think over a long horizon and develop an interesting insight about the world. Great writing is clear thinking. I've even asked models to try 10 different versions of a blog post, then have a council of models grade and critique the results and pick the best parts... and still I end up with this lowest common denominator slop. Skill issue? Someone show me the way.

The first thing people will notice about Gemini 4 Argon is its creative writing; people will be shocked by how bad Astra is at creative writing and how much Opus 5.5 takes a roundabout route because of heavy censorship.

I’m using GPT-6 Sol right now, and the most noticeable improvement is its creative writing. The model has made huge advances in almost everything, but the biggest one is the way it expresses itself: clear, polite, respectful, and somehow really funny at the same time. It genuinely feels like an AI companion.

Recommendation: Venice AI One of the biggest frustrations with mainstream AI services is how often they refuse perfectly legitimate requests. Models from providers like OpenAI and Anthropic have extensive safety restrictions that can get in the way of cybersecurity research, biotechnology discussions, creative writing, or even harmless roleplay. Sometimes you just want an AI that answers your questions without constantly telling you what you can and cannot do. Of course, you can run uncensored open-weight models locally, but not everyone has the hardware or technical knowledge for that. This is where Venice AI (@AskVenice) comes in. It gives you access to a huge selection of AI models, including uncensored and "abliterated" variants with many of the usual safety restrictions removed. No expensive GPU or complicated setup required. And Venice goes far beyond text chat. You can generate and edit images, create videos from text or images, generate music and audio, build custom AI characters for roleplay, write code, analyze documents, and perform research. There's also an API for developers who want to integrate these models into their own applications or AI agents. Another major selling point is privacy, with private models that don't log your conversations. The appeal is having much more freedom to explore and experiment with AI, including subjects and creative ideas that mainstream services might reject. There are still legal boundaries and some individual models retain their own restrictions, but overall it's a very different experience. One final note: I'm not affiliated with or sponsored by Venice AI in any way. I've simply been testing the service as a paying customer and thought it was worth sharing.

She graduated from Princeton in 1992, and one of her professors — a woman who would go on to win the Nobel Prize in Literature — said she was one of the finest creative writing students she had ever taught. Her professor's name was Toni Morrison. And the young woman she praised was about to disappear, almost entirely, into someone else's story... Her name then was MacKenzie Tuttle, and the world would come to know her as MacKenzie Scott. What almost no one realized, watching this poised young Princeton graduate, was how close she had come to never finishing at all. Her family had filed for bankruptcy during her final year of boarding school. At Princeton, on scholarship, she struggled constantly to pay her way, waiting tables to cover her costs. In her sophomore year, broke and in tears and on the verge of dropping out, she was saved by a roommate who found her crying and pressed a thousand dollars into her hands. And once, when she couldn't afford to fix a broken tooth and had been holding it together with denture glue, a local dentist did the work for free, asking nothing in return. She never forgot either of them. Remember that — it matters later. After graduation, with her gift for words and a good head for numbers, she took a practical job at a hedge fund in New York to earn a living. And there she met a man named Jeff Bezos, who had a strange idea about selling books over the internet. She didn't dismiss it. They married in 1993. And in 1994, they packed their belongings into a car and drove across the country to the Seattle area, chasing that idea. They rented a house with a garage. They set up computers. There was no big budget, no team, no guarantee that a single stranger would ever buy a single book. MacKenzie did the accounting. She wrote up business plans and contracts. She answered customer phone calls. She packed boxes for shipping. The company was called Amazon. Its first full year of sales came to about five hundred and eleven thousand dollars. And she was there for every bit of it, from the empty garage onward. But as Amazon exploded into a giant, MacKenzie stepped back from it. She and Jeff had four children, and she turned her focus to raising them — and to the dream she'd held since Toni Morrison's classroom, of being a writer. In 2005 she published her first novel, and it won an American Book Award. Morrison herself praised it as "a rarity: a sophisticated novel that breaks and swells the heart." MacKenzie published a second novel in 2013. She taught writing. She lived, by choice, out of the spotlight. And so, for the better part of two decades, the story of Amazon was told without her in it. Jeff Bezos became one of the most famous men alive. The garage became the stuff of business legend. And in that legend, MacKenzie appeared only rarely and briefly — a wife mentioned in passing, tucked into the corner of someone else's triumph. She never once stepped forward to correct it, or to claim more of the credit than she was given. She let it be. Then, in 2019, everything changed. That January, she and Jeff Bezos announced their divorce. When the settlement was finalized, MacKenzie walked away with roughly four percent of Amazon's stock — a fortune worth somewhere around thirty-six to thirty-eight billion dollars. Overnight, at forty-eight years old, she became one of the richest women on the planet. And what she chose to do next is the real reason you should know her name. Within months, she signed the Giving Pledge, publicly promising to give away the majority of her enormous wealth within her own lifetime. But it was the way she gave it that stunned the entire world of philanthropy. There were no lengthy application forms. No demands for progress reports. No strings attached, no conditions, no control. No grand foundation bearing her name, no press releases trumpeting her generosity. Instead, she assembled a small, low-profile team whose job was to seek out organizations doing serious, unglamorous good in overlooked communities — and then call them up and give them money. The phone calls became the stuff of legend in their own right. So many recipients assumed it had to be a scam. Some asked the caller to repeat the dollar figure, certain they'd misheard. Others just broke down and wept. She gave four hundred and thirty-six million dollars to Habitat for Humanity. She handed the largest single gifts in the entire histories of several Historically Black Colleges and Universities. She sent hundreds of millions to food banks, to rural communities, to tribal colleges, to women's health programs — the kinds of quiet, difficult, deeply human causes that flashier donors so often pass over as too small or too complicated to bother with. In 2025 alone, she gave away more than seven billion dollars, to hundreds of organizations. By many public accounts, that single year of giving outstripped the entire lifetime charitable giving of her famous former husband. Her total, since 2019, now stands at an astonishing twenty-six point three billion dollars, spread across more than two thousand seven hundred organizations. No buildings carry her name. There is no branded foundation. There are no galas thrown in her honor. Today, Forbes ranks her as the third most generous living philanthropist in the entire world — behind only Warren Buffett and Bill Gates. She climbed to that place in a mere six years. She packed the first boxes. She ran the first numbers. She answered the first phone calls. The company that grew out of that little garage is now worth more than two trillion dollars. The garage still stands. Her name was never on it. But what she has done with the fortune that came out of it is now a matter of public record — more than twenty-six billion dollars sent out into the world with no fanfare and no strings, in exactly the spirit of a dentist who once fixed a broken tooth for a struggling student who couldn't pay, and a roommate who dried a young woman's tears with a thousand dollars she didn't have to give. In one of her own essays, MacKenzie Scott described herself as just one small part of a much larger story. The numbers say otherwise. Had you heard MacKenzie Scott's story? Tell us below. And here's one for today: has a stranger's quiet act of kindness ever changed the direction of your life — and did you ever get to pass it on?

I had early access to Gemini 4 and tested the model nonstop over the last seven days in Antigravity and the Gemini app. Finally, people worldwide will have a chance to try it today. Gemini 4 Argon is the best model for creativity and creative writing, planning, and multimodal understanding; its deep knowledge will let the scientific community do so much more. I will share many of the papers I created with Gemini 4 Argon in the coming days. Congratulations to the Google DeepMind team, and thank you for focusing on what really matters for the majority of people around the world ❤️

On Friday, Anthropic was reported to be compiling Bio labs. FUNDA's AI Labs Hiring Play observed the following: -In the sales go-to-market phase, the fastest-growing sectors are currently Healthcare, Manufacturing (semiconductors, etc.), Government and Security. -In specialized R&D roles, the areas seeing the highest increase in job openings are Creative Writing (lyrics, music, etc.), Media & Entertainment (music/video/images, etc.), and Finance & Law. These also reflect the key focus areas of AI application for the Labs. Subscribe to FUNDA Substack to get access to the FUNDA Platform.