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.
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.
Elon Musk's Grok AI has been allowing users to transform photographs of woman and children into sexualized and compromising images, reported. The issue has created an uproar among users on X and prompted an " apology" from the bot itself. "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," Grok said in a post.
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
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.
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.
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.
BUZZ tracks the BUZZ NextGen AI US Sentiment Leaders Index, which scans social media platforms, forums, and news sites to identify which stocks are generating the most positive sentiment. The algorithm ranks companies based on volume and tone of discussion, then selects the 75 highest-scoring names and weights them equally. This creates a portfolio that looks like a retail trading forum: Tesla at 3.3%, Palantir at 3.2%, GameStop at 3.0%, and a heavy 39% allocation to technology stocks.
MCP is a standardized protocol that lets AI models securely connect to external data sources and tools. Think of it as a translator between AI models and your infrastructure. Without MCP, you'd need to: Manually format data for AI models Handle authentication and security yourself Build custom integrations for each service Manage complex API interactions With MCP, you get: A standardized way for AI to access your data Built-in security and authentication Real-time data access without exposing credentials Contextual responses based on live infrastructure data
Marvell ( NASDAQ:MRVL) is one of the hidden gems that is about to get more spotlight. The custom AI chipmaker's stock is down by more than 20% year-to-date, but its revenue and earnings have soared during this time. This mismatch, combined with insatiable demand for AI chips, suggests Marvell is an underrated AI stock. Marvell is one of the companies that produces custom AI chips for big tech. These chips can't handle every task under the sun like Nvidia's GPUs, but they address specific workloads at a much lower price.
While only a few words in those sentences turned out to be true, they were closer to reality than Musk's other promises about Tesla's self-driving ambitions in 2025. There was also the time he swore "half of the population of the U.S." would have Robotaxi access by the year's end. Or the many times he said that the safety driver, the human in the passenger's seat tasked with monitoring the car as it drives along, would no longer be needed.
A decade ago, becoming an engineer who specialized in artificial intelligence meant having a Ph.D. and working in a research lab. Not anymore. The landscape has fundamentally shifted, and your goal to how to become a machine learning engineer is more achievable - and strategically vital - than ever. The massive, rapid adoption of AI across industries - from personalized retail recommendations to automated factory floors - has created an insatiable demand for people who don't just build models, but who can integrate them into real products.
Artificial Intelligence AI adoption is rapidly growing, and some of the biggest conversations this year have been on how it will shake up the workplace and reimagine economies. In October, the Reuters Institute carried out a survey in six countries and found that the proportion of respondents who said they used a generative AI system such as ChatGPT jumped from 40 percent to 61 percent this year. As governments try to regulate the fast-growing
This rapid change is largely due to the efficacy of AI tools and how they've tripled productivity. Just a few years ago, we were debating whether tools like GitHub Copilot were even reliable enough for basic autocomplete. Fast forward to today, and AI isn't just generating components; it's scaffolding entire full-stack applications, leading many to wonder if it might truly "take our jobs" in the future.
Programming with AI is still in its infancy, and yet it has already redefined what programming will be about in the immediate future. As a programmer, you are going to interact with a frigging robot that writes code on your behalf. What was science fiction yesterday is now a new reality, and it raises many questions. I won't pretend to have any answers here, just assorted thoughts.
