If a team of human engineers built a web browser that only half-worked, it wouldn't get people talking. But when Michael Truell, CEO of coding startup Cursor, posted on X last week that a swarm of AI agents had built a browser that, he wrote, "kind of works"-while running uninterrupted for a week without any human intervention-it went viral across the tech world, with over six million views.
Now that the dust has settled and AI evolution has become a truth we must all live under, this narrative feels outdated. The agencies that thrive won't be those resisting AI, nor those blindly automating everything in sight, but those that incorporate it, intelligently, in their process. The real opportunity lies not in the battle of human v AI, but in the partnership of human plus AI.
When Tesla launched its Robotaxi service last summer, it came with an embarrassing caveat. Sitting in the front of each of the vehicles were human "safety monitors" who stuck out like sore thumbs - contradicting CEO Elon Musk's promises that the service would hit the road fully driverless. That the silent human employees sat in the front passenger seat, instead of the driver's, only served to further underscore how Musk had speciously weaseled his way out being true to his word.
Sports are entering a new era and it could be powered by artificial intelligence. Jeremy Bloom, CEO of the X Games, is placing a bold bet on AI to revolutionize how competitions are judged and scored. From reducing human error to enhancing fairness and accuracy, AI judges could redefine the future of professional sports. But can machines truly replace human judgment on the world's biggest stages?
AI chatbots have been with us three years and one month (at least the kind that use large language models (LLMs) to communicate with natural-sounding words). Already norms are emerging in some professions for users to disclose how they use AI. For example: Organizations such as the International Committee of Medical Journal Editors created policies for disclosing AI use in scientific manuscripts.
OpenAI has pulled in a billion-dollar month from something other than ChatGPT. Sam Altman said in a post on X on Thursday that OpenAI added more than $1 billion in annual recurring revenue in the past month "just from our API business." "People think of us mostly as ChatGPT, but the API team is doing amazing work!" the OpenAI CEO wrote.
There's vastness far closer to us that transcends even the stars. It may seem impossible but there are, in fact, more possible chemical compounds in our world than stars across the sky. And it's not close: A conservative estimate suggests the number of small, drug-like molecules out there is somewhere around 10^60, while the number of stars in the observable universe lingers around 10^22 (perhaps 10^24 by some estimates).
Amazon is preparing to cut thousands more jobs as part of a sweeping overhaul driven by artificial intelligence and internal restructuring, according to reports. The world's largest retailer is expected to announce a second round of layoffs as soon as next week, following the removal of 14,000 white-collar roles in October. The latest cuts are expected to be of a similar scale, taking Amazon closer to its longer-term goal of shedding around 30,000 positions.
Last October, PayPal an integration with OpenAI so that ChatGPT users could transact within the app. Apparently, PayPal is now ready to take that idea to other retailer chatbots. Of course, now that ChatGPT is making its foray into advertising , other LLMs and chatbots are bound to follow suit, if they haven't already done so. Walmart, for instance, rolled out ads in its generative AI agent Sparky earlier this month.
As per a report from The Drive, a 2024 Tesla Model S with AI4 and FSD v14.2.2.3 completed the 3,081-mile trip from Redondo Beach in Los Angeles to midtown Manhattan in New York City. The drive was completed by Alex Roy, a former automotive journalist and investor, along with a small team of autonomy experts. Roy said FSD handled all driving tasks for the entirety of the route, including highway cruising, lane changes, navigation, and adverse weather conditions.
Even before he'd graduated from the University of Bath in 2024, Arnau Ayerbe landed a highly coveted role as an AI engineer with JP Morgan - yet he felt limited and uninspired. "I realised very quickly that the person to my right and to my left were going to be me in 20 years, and I didn't want to become that," recalls London-based Ayerbe.
Procter & Gamble is emphasizing its strengths in data and artificial intelligence as the packaged goods giant contends with a fragmented "new media reality," executives said on a call discussing earnings earlier this week. The owner of brands like Tide and Downy is working to redefine its brand-building framework to deliver more relevant marketing and better capitalize on emergent channels like retail media that are rewriting the CPG advertising playbook.
Elon Musk said Tesla will raise subscription prices for its Full Self-Driving software as it gets better, and it could cost more than $100. The Tesla CEO said in an early Friday X post, "I should also mention that the $99/month for supervised FSD will rise as FSD's capabilities improve." "The massive value jump is when you can be on your phone or sleeping for the entire ride (unsupervised FSD)," he said.
The company, which is based in San Francisco and has an office in Pune, India, is targeting up to $35 million this year as it builds a royalty-driven on-device AI business. That growth has buoyed the company, which now has post-money valuation of between $270 million and $300 million, up from around $100 million in its 2022 Series B, Kheterpal said.
Salesforce-owned integration platform provider MuleSoft has added a new feature called Agent Scanners to Agent Fabric - a suite of capabilities and tools that the company launched last year to rein in the growing challenge of agent sprawl across enterprises. Agent sprawl, often a result of enterprises and their technology teams adopting multiple agentic products, can lead to the fragmentation of agents, turning their workflows redundant or siloed across teams and platforms.
