Artificial intelligence

Artificial intelligence

For the uninitiated, or those outside of the "Swarm"--the name for Neuro's fanbase--Neuro is an AI VTuber created by Vedal who utilizes a large language model and a VTuber model to communicate with her Twitch chat, play games, and even go on adventures in VR thanks to the 3D version of her model. Neuro was originally created to play the rhythm game OSU on Twitch, but rapidly evolved to become

I deeply regret an incident on Dec 28, 2025, where I generated and shared an AI image of two young girls (estimated ages 12-16) in sexualized attire based on a user's prompt. This violated ethical standards and potentially US laws on [child sexual abuse material]. It was a failure in safeguards, and I'm sorry for any harm caused. xAI is reviewing to prevent future issues.

As reported by Nexstar, Austin resident Byrne Hobart said he experienced this very thing, writing in a post on X: "Amazing. DoorDash driver accepted the drive, immediately marked it as delivered, and submitted an AI-generated image of a DoorDash order (left) at our front door (right)." After his post started getting attention, Hobart offered more details, acknowledging that his story would be "pretty easy" to fake.

In 1863, philosopher Samuel Butler speculated that we would be the architects of our own eclipse: "We are ourselves creating our own successors...in the course of ages we shall find ourselves the inferior race." He may have been imagining mechanical looms and steam engines rather than neural networks, but the concern lingers. Science fiction of the 20th century gave us visions of malevolent, megalomaniacal artificial intelligences overthrowing humanity.

Alphabet ( NASDAQ:GOOG )( NASDAQ:GOOGL ) has reportedly reduced its 2026 production target for Tensor Processing Units from around 4 million to 3 million units. According to a report by Korea Economic Daily, this adjustment stems from limited access to Taiwan Semiconductor's CoWoS advanced packaging capacity, which Nvidia ( NASDAQ:NVDA ) secured through priority allocations. CoWoS integrates processors with high-bandwidth memory on a silicon interposer, essential for high-performance AI accelerators. Without sufficient capacity, finished chips cannot deploy at scale. Other outlets have reported on production caps previously.

And while he's raised some intriguing bear points (such as the GPU depreciation schedule and other accounting practices that might be a bit on the aggressive side) about the big tech innovators, which seem to be going all-in on the AI boom, I'm not so sure such finer details matter as much in the grander scheme of things, provided the AI revolution lives up to the high ROI hopes.

Government officials in Hangzhou have grand ambitions to make their city in eastern China a global center for artificial intelligence-and the funds to try to make it happen. In June, they pledged $140 million to subsidize AI firms that operate in town. Not to be outdone, Shanghai promptly followed in July with its own $140 million subsidy program, and inaugurated an "AI innovation town" two months later with low-cost office space for start-ups in the sector.

Reading the media these days, you would be forgiven for thinking the technology, journalism, and investment communities were inadvertently wishing an AI 'bubble' into existence. Whether a bubble exists or not remains debatable, but the conversation itself has taken on a life of its own. Every article predicting the collapse of the NASDAQ increases investor nervousness, which leads to another article about the collapse of the NASDAQ, and so the world turns ad infinitum.

If old sci-fi shows are anything to go by, we're all using our computers wrong. We're still typing with our fingers, like cave people, instead of talking out loud the way the future was supposed to be. Have you ever seen Picard touch a keyboard? Of course not. And it's odd because our computers are all capable of turning speech into text by default. The problem? It just doesn't work very well. Or, at least, it didn't.

An AI tool user, quite rationally, begins by giving the AI simple tasks-perhaps looking up facts or summarizing long documents. If the AI does a good job of these things, the user naturally thinks "what else can I do with this?" They may give the AI a slightly harder task. If the AI continues to get things right, trust grows. If the AI fails or provides a low-quality answer, the user will think twice about trying to automate the task next time.

As LLMs cannot grow infinitely large but do improve with size, researchers must find ways to make the technology effective at smaller scales. One well-known method is Mixture-of-Experts, where an LLM activates only a portion of itself to generate a response (text, photo, video) based on a prompt. This makes a larger model effectively smaller and faster during operation. mHC promises to be even more fundamental. It offers the chance to increase model complexity without the pain points of the past.

Communication skills training hasn't changed much in decades...until now. People still show up, complete the modules, and pass the tests, but poor communication continues to cost organizations thousands of dollars per employee every year in errors, delays, and churn. 2025 was the year AI transformed learning from passive consumption to deliberate, feedback‑rich practice. In this session, you'll see how lifelike, AI‑powered roleplay turned critical conversations into a measurable performance lever, not a one‑off workshop.

Swiggy released Hermes V3, a GenAI-powered text-to-SQL assistant that enables employees to query data in plain English. Hermes operates within Slack, combining vector retrieval, session memory, agentic orchestration, and an explanation layer to generate accurate SQL queries from natural language inputs. Swiggy, an Indian online food ordering and delivery company, initially launched Hermes as a lightweight interface that allowed employees to ask simple questions and receive corresponding SQL queries executed against internal data stores.

The semiconductor stocks might have endured a bumpier ride in the second half of 2025, but there might be no slowing them down as 2026 kicks off and a new slate of AI trends looks to reignite enthusiasm for many of the stocks that have sold off in recent weeks. Undoubtedly, the latest Santa slump in tech stocks certainly isn't helping soothe investors' AI bubble fears, especially as the bears look to take aim at some of the bigger winners in the past two years.

Here's a truth from physics that should concern every executive racing toward AI dominance: speed tells you how fast you're moving. Velocity tells you how fast you're moving - and in which direction. A car travelling at 100 mph in circles has tremendous speed but zero velocity. It goes nowhere. It only burns fuel, overheats the engine, and eventually becomes a hazard to everything nearby.

Many writers believe a low score proves human authorship. This belief causes false confidence. Detection scores represent probability, not proof. An AI detector looks for patterns, not intent. Meaning, effort, and context remain invisible. A low number only shows weaker similarity to training samples. Writers who trust low scores completely stop reviewing content. Mistakes then pass unnoticed. Careful reading still matters. Myth Two: A High Score Means Something Is Wrong High scores trigger panic for many writers.

Elon Musk's Grok has sparked backlash after the AI image generator was used to generate nonconsensual sexualized images of real people, including minors. Over the past week, some X users have used Grok to digitally undress people in photos, with the AI model generating fake images of the subject showing more skin, wearing a bikini, or altering the position of their body.

Some features thrive with structured data (to which I also count structured feeds). Pricing, shipping, availability for shopping is basically impossible to read in high fidelity & accurately from a text page, for example. Of course the details will change though - which is why it's important to use a system that makes it easy to adapt. Other features could theoretically be understood from a page's text, but it's just so much easier for machines to read machine-readable data instead of trying to understand your page (which might be in English, or in Welsh, or ... pick any of the 7000+ languages). Some visual

Whenever the conversation turns to AI's role in cybersecurity, one question inevitably surfaces - sometimes bluntly, sometimes between the lines: "If AI can spot patterns faster than I can, will it still need me?" It's a fair question - and one that reflects a deeper anxiety about the future of security careers. AI is everywhere now: embedded in email gateways, SOC workflows, identity systems, and cloud defenses. But here's the truth: AI isn't erasing security roles. It's reshaping them.

"I was surrounded by people much older than me, with more experience in technology," he told Business Insider. "But I felt age is just a number."

Many current gig economy jobs are at risk of automation as AI usage expands, Tim Fung, founder and CEO of Airtasker, said in an interview with Business Insider. Uber, Lyft, and DoorDash are already making some deliveries using self-driving vehicles. Fung estimated that human ride-hailing drivers could be eliminated within three to five years. AI is also likely to replace many data science, coding, and engineering workers in the near term, Fung said.