In the winter of 2022, as the tech world was becoming mesmerized by the sudden, explosive arrival of OpenAI’s ChatGPT, Benjamin Alarie faced a pivotal choice. His legal tech startup, Blue J, had a respectable business built on the AI of a bygone era, serving hundreds of accounting firms with predictive models. But it had hit a ceiling.Alarie, a tenured tax law professor at the University of Toronto, saw the... Read more ›
13
Managing and maintaining AI systems remains a challenge for many enterprises, particularly with the potential for agentic sprawl to expose businesses to risky entry points. Microsoft entered the observability fray with the launch of Agent 365 during its annual Ignite conference Tuesday. It described Agent 365 as the control plane for AI agents, serving as an observability layer for enterprises running any agent. The company said the platform “delivers unified... Read more ›
3
Googlefocused launched yet another coding agent platform, this time focusing on developer teams collaborating to create agents that can execute complex tasks automatically.The platform, called Antigravity, is powered by Gemini 3 and is now available in public preview with “generous rate limits on Gemini 3 Pro usage.” Antigravity is an agentic coding platform that aims to “evolve the IDE towards an agent-first future with browser control capabilities, asynchronous interaction patterns,... Read more ›
36
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology is the cleanest public example of a training approach that smaller enterprise teams can copy. It shows how a carefully chosen dataset and fine-tuning strategy can make a 14B model compete with much larger ones.The Phi-4 model was trained on just 1.4... Read more ›
0
What separates the SOCs getting results from their AI strategies from those that don't begins with CISOs who take ownership of AI initiatives and anticipate roadblocks early, systematically demolishing legacy walls that get in the way.The disconnect between AI's promise and delivery dominated discussions at Forrester's 2025 Security & Risk Summit last week. "We have a chaos agent of our own today," said Allie Mellen, a principal analyst, during her... Read more ›
27
Despite new methods emerging, enterprises continue to turn to autonomous coding agents and code generation platforms. The competition to keep developers working on their platforms, coming from tech companies, has also heated up.AWS thinks its offering, Kiro, and new capabilities to ensure behavioral adherence set up a large differentiator in the increasingly crowded coding agent space. Kiro, first launched in July on public preview, is now generally available with new... Read more ›
1
When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a must-have infrastructure layer for the gen AI era. Billions of venture dollars flowed, developers rushed to integrate embeddings into their pipelines and analysts breathlessly tracked funding rounds for Pinecone, Weaviate, Chroma, Milvus and a... Read more ›
25
The race to deploy agentic AI is on. Across the enterprise, systems that can plan, take actions and collaborate across business applications promise unprecedented efficiency. But in the rush to automate, a critical component is being overlooked: Scalable security. We are building a workforce of digital employees without giving them a secure way to log in, access data and do their jobs without creating catastrophic risk.The fundamental problem is that... Read more ›
3
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning tasks. Supervised Reinforcement Learning (SRL) reformulates problem-solving as a sequence of logical “actions,” providing rich learning signals during the training process.This approach enables smaller models to learn complex problems that were previously out of reach for other common training techniques. Experimen Read more ›
3
There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology from Databricks could change that.The company this week detailed its "ai_parse_document" technology, now integrated with Databricks' Agent Bricks platform. The technology addresses a critical bottleneck in enterprise AI adoption: Approximately 80% of enterprise... Read more ›
1
It was originally found in leaked code and publicized by AI influencers on X, but OpenAI has made it official: ChatGPT now offers Group Chats, allowing multiple users to join the same, single ChatGPT conversation and send messages to each other and the underlying large language model (LLM), online and via its mobile apps. Imagine adding ChatGPT as another member of your existing group chats, allowing you to text it... Read more ›
3
Chinese hackers automated 90% of an espionage campaign using Anthropic’s Claude, breaching four organizations of the 30 they chose as targets."They broke down their attacks into small, seemingly innocent tasks that Claude would execute without being provided the full context of their malicious purpose," Jacob Klein, Anthropic's head of threat intelligence, told VentureBeat. AI models have reached an inflection point earlier than most experienced threat researchers anticipated, evidenced by hackers... Read more ›
1
OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises with a better understanding of how these models make decisions. Understanding how models choose to respond, a big selling point of reasoning models for enterprises, can provide a level of trust for organizations when they turn to AI models for... Read more ›
1
Mere hours after OpenAI updated its flagship foundation model GPT-5 to GPT-5.1, promising reduced token usage overall and a more pleasant personality with more preset options, Chinese search giant Baidu unveiled its next-generation foundation model, ERNIE 5.0, alongside a suite of AI product upgrades and strategic international expansions.The goal: to position as a global contender in the increasingly competitive enterprise AI market.Announced at the company's Baidu World 2025 event, ERNIE... Read more ›
17
Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking research released Thursday by Upwork, the largest online work marketplace.But the same study reveals a more promising path forward: When AI agents collaborate with human experts, project completion rates surge by up to 70%, suggesting the future of work may not pit humans against machines... Read more ›
0
LinkedIn is launching its new AI-powered people search this week, after what seems like a very long wait for what should have been a natural offering for generative AI.It comes a full three years after the launch of ChatGPT and six months after LinkedIn launched its AI job search offering. For technical leaders, this timeline illustrates a key enterprise lesson: Deploying generative AI in real enterprise settings is challenging, especially... Read more ›
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Alembic Technologies has raised $145 million in Series B and growth funding at a valuation 13 times higher than its previous round, betting that the next competitive advantage in artificial intelligence will come not from better language models but from proprietary data and causal reasoning.The San Francisco-based startup, which builds AI systems that identify cause-and-effect relationships rather than mere correlations, is using a significant portion of the capital to deploy... Read more ›
43
Another day in late 2025, another impressive result from a Chinese company in open source artificial intelligence.Chinese social networking company Weibo's AI division recently released its open source VibeThinker-1.5B—a 1.5 billion parameter large language model (LLM) that is a fine-tuned variant of rival Chinese tech firm Alibaba's Qwen2.5-Math-1.5B. It's available now for free download and usage by researchers and enterprise developers—even for commercial purposes—under a permissive MIT License on Huggin Read more ›
6
As software systems grow more complex and AI tools generate code faster than ever, a fundamental problem is getting worse: Engineers are drowning in debugging work, spending up to half their time hunting down the causes of software failures instead of building new products. The challenge has become so acute that it's creating a new category of tooling — AI agents that can diagnose production failures in minutes instead of... Read more ›
48
ChatGPT is about to become faster and more conversational as OpenAI upgrades its flagship model GPT-5 to GPT-5.1.OpenAI announced two updates to the GPT-5 series: GPT-5.1 Instant and GPT-5.1 Thinking. Both models are now accessible on ChatGPT. GPT-5.1 Instant, essentially the default and most-used model, is now “warmer, more intelligent, and better at following your instructions,” according to OpenAI. Meanwhile, GPT-5.1 Thinking is an advanced reasoning model that responds faster... Read more ›
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22.03.2026 14:20
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