How to Build and Deploy Agentic Systems Paige Bailey, DevRel Lead of GenAI at Google Agentic systems are emerging as a key paradigm in how we design intelligent applications that can reason, act, and adapt in dynamic environments. In this interactive workshop, Paige Bailey will introduce the foundational concepts behind agentic systems and demonstrate how to build them using CrewAI and Google's Gemini APIs in Google Colab.
How should leaders prepare for AI's accelerating impact on work and everyday life? AI scientist, entrepreneur, and Pioneers of AI podcast host Rana el Kaliouby shares her predictions for the year ahead-from physical AI entering the real world to what it means to onboard AI into your org chart. El Kaliouby cuts through today's biggest AI headlines, bringing to light the insights that will matter most in the months to come.
Rather than being a one-size-fits-all solution, AI will likely deliver distinct benefits to particular industries and jobs. It'll therefore be the responsibility of every individual to figure out how the technology fits within the unique contours and requirements of their particular role. The watchwords of the hour when it comes to the use of AI at work are experimentation and adaptation, not copy and paste.
"The problem isn't a lack of AI options; it is finding the one that truly understands your specific context," says Ofer Tirosh, CEO of Tomedes, the language services provider behind MachineTranslation.com. "That is the power of MachineTranslation.com's SMART option. You don't have to rely on a single opinion. SMART compares all AIs and automatically selects the translation that the majority agree on per sentence. It is about achieving accuracy through aggregation and consensus."
Not only will they be reeling in sky-high salaries, but Altman says they'll also be "feeling so bad for you and I that we had to do this really boring, old work and everything is just better." "In 2035, that graduating college student, if they still go to college at all, could very well be leaving on a mission to explore the solar system on a spaceship in some completely new, exciting, super well-paid, super interesting job," Altman told video journalist Cleo Abram.
Merriam-Webster just named "slop" its word of the year, defining it as "digital content of low quality that is produced usually in quantity by means of artificial intelligence." The choice is blunt, almost mocking, and it captures something that has been building for months: a collective exhaustion with AI hype that promises intelligence but delivers mediocrity. Over the past three months, that exhaustion has started bleeding into Wall Street.
Well, that actually is a better segue to this next chart I was going to show you than I thought it would be, which is there's some suspicions going around that this whole thing has become a kind of circular money machine, that the hunt for growth, the hunt for justifying share prices and investment and valuations is leading to just money constantly passing hands to create the almost appearance of activity.
Meta's chief artificial intelligence scientist, Yann LeCun, is in early discussions to raise €500mn for a new artificial intelligence start-up, a move that would value the yet-to-launch company at roughly €3bn, according to people familiar with the matter. The venture, called Advanced Machine Intelligence Labs (AMI Labs), is expected to be formally announced in January. LeCun, a Turing Award winner and one of the pioneers of modern AI, will serve as executive chair.
Sam Netherwood, co-founder and director of Tomoro, spoke to The Register about the development of Concierge and the project's goals. "Initially, Virgin engaged us," Netherwood said. "We partner quite closely with OpenAI. Virgin also had already entered into an agreement with OpenAI. And so that's how it came together in the first place. And initially we just did a proof-of-concept over about six weeks."
Pinecone recently announced the public preview of Dedicated Read Nodes (DRN), a new capacity mode for its vector database designed to deliver predictable performance and cost at scale for high-throughput applications such as billion-vector semantic search, recommendation systems, and mission-critical AI services. This capability builds on Pinecone's existing serverless on-demand model, offering enterprises provisioned hardware for steady high query volumes without the variability inherent in usage-based pricing.
Providing great service has always mattered. Doing it brilliantly and consistently, is where things become hard, particularly for SMEs juggling growth, limited resources and rising customer expectations. At Moneypenny, we exist to solve that challenge. By combining unrivalled people and smart AI, we represent businesses seamlessly, delivering exceptional conversations that protect reputation and drive growth. That mission has never been more relevant.
32-year-old Anthony Duncan first used ChatGPT to help with the business side of his career as a content creation. But he soon ended up talking to the OpenAI chatbot like a friend on a daily basis. What started as a harmless way to vent soon drove Duncan to blow up his personal relationships as he became afflicted with troubling delusions, he recalled in a TikTok video detailing his experience - upending his mental health and causing a sprawling breakdown.
Some users of popular chatbots are generating bikini deepfakes using photos of fully clothed women as their source material. Most of these fake images appear to be generated without the consent of the women in the photos. Some of these same users are also offering advice to others on how to use the generative AI tools to strip the clothes off of women in photos and make them appear to be wearing bikinis.
The stock market is quickly waking up to the fact that is the leading AI software company today. It has overtaken and is less than $200 billion away from overtaking as the world's second-largest company. Overtaking the AI hardware leader, will take a bit more work, as it has a $755 billion lead over Google. Fortuitously for Google, that number is a drop in the bucket these days for Wall Street.
That means that had you invested $58,000 in the business at the time it hit the public markets, you'd have $1 million today. That's a great gain in less than 14 years. These days, the investment community isn't doubting how wonderful a company this is. Meta is one of the most dominant technology enterprises in the world, with impressive growth and profitability . And it continues to operate at a high level.
The U.S. Department of War announced Monday an agreement with Elon Musk's xAI to embed the company's frontier artificial intelligence systems, powered by the Grok family of models, into the department's bespoke AI platform GenAI.mil. The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
Neuro-Sama is an AI VTuber who recently completed a Minecraft Hardcore run with her creator and friends Filian and Crelly. She streams on Vedal's Twitch channel, and is powered by an artificial intelligence system that utilizes a large language model with vast capabilities. She can "see" games and respond to them, even being able to play some, she can read her Twitch chat and interact with viewers,
On a Hard Forkin' Christmas, my true love gave to me 12 A.I. bubbles, 11 chimpanzinis, 10 Signal war chats, nine Meta reorgs, eight MechaHitlers, seven White House memecoins, six Roblox scandals, five Bum Bum creams, Bum, bum bum four Humane pins, three code reds, two robot pants, and a bot trained on all our I.P. That's intellectual property. Can Ezra Klein do that? I don't think so.
Google is testing prefilling the search bar in a new Chrome tab, with teasers to encourage you to search deeper with AI Mode. Google is putting in the search box, "Research a topic," "Write something new," "Ask Google," and "Make a plan." Glenn Gabe spotted this change and posted on X saying, "Noticed this morning that Google had an animation of text running in the Google search bar in Chrome (in a new tab).
Artificial intelligence (AI) has been the biggest talking point for IT leaders in 2025 - both the emerging capabilities and opportunities from the technology, and the challenges of implementing it at scale and in a way that delivers measurable benefits. For the digital, data and technology leaders that Computer Weekly is privileged to talk to every week, building AI into their wider strategies and managing often over-hyped expectations just adds to the difficulties of one of the most important roles in any modern organisation.
In 2025, OpenAI has battled the perception that it was ceding ground in the AI race to Chinese rivals like DeepSeek, all while the company has tried to shore up its relationship with Washington, pursued ambitious data center projects, and laid the groundwork for one of the largest funding rounds in history. Most recently though, headlines around OpenAI have focused on its competition gaining ground, with CEO Sam Altman's "code red" internal memo shifting company focus toward its flagship chatbot.
If a single type of building could define our present time, it would undoubtedly be the data center. Underpinning the increasingly online way we work, shop, and entertain ourselves, data centers provide the computing power and storage to handle all the Zoom calls, Amazon purchases, and Netflix streams a person can cram into their day. And now as compute-hungry artificial intelligence dominates the future of nearly every sector of the economy-and possibly society as a whole-the data center will become even more ubiquitous.
In 2025, nearly every security conversation circled back to AI. In 2026, the center of gravity will shift from raw innovation to governance. DevOps teams that rushed to ship AI capabilities are now on the hook for how those systems behave, what they can reach, and how quickly they can be contained when something goes wrong. At the same time, observability, compliance, and risk are converging.
People and institutions are grappling with the consequences of AI-written text. Teachers want to know whether students' work reflects their own understanding; consumers want to know whether an advertisement was written by a human or a machine. Writing rules to govern the use of AI-generated content is relatively easy. Enforcing them depends on something much harder: reliably detecting whether a piece of text was generated by artificial intelligence.
