Advertising & Marketing

The debate over AI and its role in creative industries often centers on one question: Can AI ever be as creative as humans? While it’s tempting to philosophize about inspiration and ingenuity, this line of inquiry misses a crucial point: If the audience can’t tell the difference between AI-generated and human-generated content, or if they don’t care, for all practical purposes, there is no difference. Continue Reading →

Singapore-based Sapient Intelligence just open-sourced their Hierarchical Reasoning Model (HRM), and the AI community is buzzing about a 27-million-parameter model that beats Claude, OpenAI's o3-mini, and DeepSeek R1 on certain reasoning benchmarks. The headlines scream breakthrough. The reality demands nuance. Continue Reading →

ChatGPT head Nick Turley just admitted what every tech executive already knows: even 700 million weekly active users can't make the math work without ads. In an interview on Decoder, Turley said he's "humble enough not to rule it out categorically," though he hedged that OpenAI would need to be "very thoughtful and tasteful" about how ads could be integrated into ChatGPT. Continue Reading →

The words we use to control generative AI have become competitive assets. In a recent cookbook entry, OpenAI detailed “meta‑prompting,” a method that uses a more powerful model to write or refine a prompt for another model. Equally important are “pre‑prompts,” system-level instructions that set the model’s identity, tone, and behavior before any user input is received. These may sound like technical nuances, but together, they will shape how enterprises deploy, govern, and scale AI across the organization. Let's explore. Continue Reading →

In popular lore, the “street fighter” – the dropout entrepreneur, the scrappy immigrant, the self-taught visionary – gets romanticized for beating the odds through sheer force of will, despite lacking money, power, or formal training. Until now, though, the mantra has been clear: ideas are worthless; execution is everything. That was then. Continue Reading →

Nvidia CEO Jensen Huang recently said: "There's a new programming language. It's called English." It's not a metaphor. It's his description of the most significant shift in the doing of work we've seen since the invention of the assembly line. Now, let's reduce this idea to practice and put an aggressive timeline on it: In 36 months, code and content will be essentially free. Too aggressive? Let's explore. Continue Reading →

You're running late for dinner, stuck in traffic, and realize you forgot to make a reservation. Instead of frantically switching between OpenTable, Google Maps, your calendar app, and your messaging app, you simply say: "Find me a table for two at the highest rated Italian restaurant in Midtown at 7:30 PM and text Sarah the details." This exists today. Continue Reading →

If you watched the NBA Finals on Wednesday night, you may have seen a surreal 30 seconds of AI-generated madness: an old man in a cowboy hat carrying a chihuahua, a swimmer in a pool of eggs, and an alien shotgunning a beer. It wasn’t a fever dream, it was a real ad from betting platform Kalshi. Cost: $2,000. Production team: one person. Tools: Google Veo 3, Gemini, CapCut. Continue Reading →

Taboola has launched DeeperDive, a generative AI answer engine embedded directly into publisher websites. Currently in beta with USA Today and The Independent, the tool provides AI-generated answers to user questions, pulls content from Taboola’s 9,000+ publishing partners, and surfaces related articles and ads—all without sending users to a search engine. Continue Reading →

Meta has a goal: input a product image, define a budget, then let AI do the rest – generate copy, create images and video, deploy the ads, target the audience, and even recommend spend. Continue Reading →