There's no shortage of generative AI benchmarks designed to measure the performance and accuracy of a given model on completing various helpful enterprise tasks — from coding to instruction following to agentic web browsing and tool use. But many of these benchmarks have one major shortcoming: they measure the AI's ability to complete specific problems and requests, not how factual the model is in its outputs — how well it... Read more ›
54
Presented by SAPWhen SAP ran a quiet internal experiment to gauge consultant attitudes toward AI, the results were striking. Five teams were asked to validate answers to more than 1,000 business requirements completed by SAP’s AI co-pilot, Joule for Consultants — a workload that would normally take several weeks.Four teams were told the analysis had been completed by junior interns fresh out of school. They reviewed the material, found it... Read more ›
30
The tools are available to everyone. The subscription is company-wide. The training sessions have been held. And yet, in offices from Wall Street to Silicon Valley, a stark divide is opening between workers who have woven artificial intelligence into the fabric of their daily work and colleagues who have barely touched it.The gap is not small. According to a new report from OpenAI analyzing usage patterns across its more than... Read more ›
12
A San Francisco-based startup has demonstrated what it calls a breakthrough in hardware development: an artificial intelligence system that designed a fully functional Linux computer in one week — a process that would typically consume nearly three months of skilled engineering labor.Quilter, which has raised more than $40 million from investors including Benchmark, Index Ventures, and Coatue, used its physics-driven AI to automate the design of a two-board computer system... Read more ›
73
Engineering teams are generating more code with AI agents than ever before. But they're hitting a wall when that code reaches production.The problem isn't necessarily the AI-generated code itself. It's that traditional monitoring tools generally struggle to provide the granular, function-level data AI agents need to understand how code actually behaves in complex production environments. Without that context, agents can't detect issues or generate fixes that account for production reality.It's... Read more ›
1
For more than a decade, Nvidia’s GPUs have underpinned nearly every major advance in modern AI. That position is now being challenged. Frontier models such as Google’s Gemini 3 and Anthropic’s Claude 4.5 Opus were trained not on Nvidia hardware, but on Google’s latest Tensor Processing Units, the Ironwood-based TPUv7. This signals that a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for... Read more ›
0
French AI startup Mistral has weathered a rocky period of public questioning over the last year to emerge, now here in December 2025, with new, crowd-pleasing models for enterprise and indie developers.Just days after releasing its powerful open source, general purpose Mistral 3 LLM family for edge devices and local hardware, the company returned today to debut Devstral 2.The release includes a new pair of models optimized for software engineering... Read more ›
2
There is no shortage of AI benchmarks in the market today, with popular options like Humanity's Last Exam (HLE), ARC-AGI-2 and GDPval, among numerous others.AI agents excel at solving abstract math problems and passing PhD-level exams that most benchmarks are based on, but Databricks has a question for the enterprise: Can they actually handle the document-heavy work most enterprises need them to do?The answer, according to new research from the... Read more ›
9
Presented by BlueOceanAI has become a central part of how marketing teams work, but the results often fall short. Models can generate content at scale and summarize information in seconds, yet the outputs are not always aligned with the brand, the audience, or the company’s strategic goals. The problem is not capability. The problem is the absence of context.The bottleneck is no longer computational power. It is contextual intelligence.Generative AI... Read more ›
0
Presented by CelonisThe State of Oklahoma discovered its blind spots the hard way. In April 2023, a legislative report revealed its agencies had spent $3 billion without proper oversight. Janet Morrow, Director of Oklahoma's Risk, Assessment and Compliance Division, set out to track thousands of monthly transactions across dozens of disconnected systems.The Sooner State became the first U.S. state to apply process intelligence (PI) technology for procurement oversight. The transformation,... Read more ›
6
Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and high-efficiency deployment. The release includes two models in "large" and "small" sizes: GLM-4.6V (106B), a larger 106-billion parameter model aimed at cloud-scale inferenceGLM-4.6V-Flash (9B), a smaller model of only 9 billion parameters designed for low-latency, local applicationsRecall that generally speaking, mo Read more ›
0
Anthropic on Monday launched a beta integration that connects its fast-growing Claude Code programming agent directly to Slack, allowing software engineers to delegate coding tasks without leaving the workplace messaging platform where much of their daily communication already happens.The release, which Anthropic describes as a "research preview," is the AI safety company's latest move to embed its technology deeper into enterprise workflows — and comes as Claude Code has emerged... Read more ›
0
When many enterprises weren’t even thinking about agentic behaviors or infrastructures, Booking.com had already “stumbled” into them with its homegrown conversational recommendation system. This early experimentation has allowed the company to take a step back and avoid getting swept up in the frantic AI agent hype. Instead, it is taking a disciplined, layered, modular approach to model development: small, travel-specific models for cheap, fast inference; larger large language models (LLMs)... Read more ›
0
Presented by Design.comFor most of history, design was the last step in starting a business — something entrepreneurs invested in once the idea was proven. Today, it’s one of the first. The rise of generative AI has shifted how small businesses imagine, launch, and grow — turning what used to be a months-long creative process into something interactive, iterative, and accessible from day one.Search data tells the story. Since 2022,... Read more ›
28
Remember this Quora comment (which also became a meme)?(Source: Quora)In the pre-large language model (LLM) Stack Overflow era, the challenge was discerning which code snippets to adopt and adapt effectively. Now, while generating code has become trivially easy, the more profound challenge lies in reliably identifying and integrating high-quality, enterprise-grade code into production environments.This article will examine the practical pitfalls and limitations observed when engineers use modern coding agen Read more ›
0
Three years ago this week, Chat GPT was born. It amazed the world and ignited unprecedented investment and excitement in AI. Today, ChatGPT is still a toddler, but public sentiment around the AI boom has turned sharply negative. The shift began when OpenAI released GPT-5 this summer to mixed reviews, mostly from casual users who, unsurprisingly, judged the system by its surface flaws rather than its underlying capabilities.Since then, pundits... Read more ›
73
OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy violations. This technique, "confessions," addresses a growing concern in enterprise AI: Models can be dishonest, overstating their confidence or covering up the shortcuts they take to arrive at an answer. For real-world applications, this technique evolves the creation of more transparent and... Read more ›
29
Amazon Web Services on Wednesday introduced Kiro powers, a system that allows software developers to give their AI coding assistants instant, specialized expertise in specific tools and workflows — addressing what the company calls a fundamental bottleneck in how artificial intelligence agents operate today.AWS made the announcement at its annual re:Invent conference in Las Vegas. The capability marks a departure from how most AI coding tools work today. Typically, these... Read more ›
1
The debate over whether artificial intelligence belongs in the corporate boardroom appears to be over — at least for the people responsible for generating revenue.Seven in ten enterprise revenue leaders now trust AI to regularly inform their business decisions, according to a sweeping new study released Thursday by Gong, the revenue intelligence company. The finding marks a dramatic shift from just two years ago, when most organizations treated AI as... Read more ›
0
For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning days, and it will eventually lose the thread. Engineers refer to this phenomenon as “context rot,” and it has quietly become one of the most significant obstacles to building AI agents that can function reliably in the real world.A... Read more ›
0
Most popular sources
Engadget
|
0% |
The Information
|
0% |
CoinDesk
|
0% |
Inc42 Media
|
0% |
Eurogamer.net
|
0% |
| View sources » | |
LIKE us on Facebook so you won't miss the most important news of the day!
22.03.2026 10:47
Last update: 10:40 EDT.
News rating updated: 16:40.
What is Times42?
Times42 brings you the most popular news from tech news portals in real-time chart.
Read about us in FAQ section.