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OpenCV founders launch AI video startup to take on OpenAI and Google

A new artificial intelligence startup founded by the creators of the world’s most widely used computer vision library has emerged from stealth with technology that generates realistic human-centric videos up to five minutes long — a dramatic leap beyond the capabilities of rivals including OpenAI’s Sora and Google’s Veo. CraftStory, which launched Tuesday with $2…

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Musk’s xAI launches Grok 4.1 with lower hallucination rate on the web and apps — no API access (for now)

In what appeared to be a bid to soak up some of Google’s limelight prior to the launch of its new Gemini 3 flagship AI model — now recorded as the most powerful LLM in the world by multiple independent evaluators — Elon Musk’s rival AI startup xAI last night unveiled its newest large language…

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Microsoft’s Fabric IQ teaches AI agents to understand business operations, not just data patterns

Semantic intelligence is a critical element of actually understanding what data means and how it can be used. Microsoft is now deeply integrating semantics and ontologies into its  Fabric data platform with its new Fabric IQ technology that it debuted at the Microsoft Ignite conference Tuesday. Fabric IQ is a semantic intelligence layer designed to…

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Google unveils Gemini 3 claiming the lead in math, science, multimodal and agentic AI benchmarks

After more than a month of rumors and feverish speculation — including Polymarket wagering on the release date — Google today unveiled Gemini 3, its newest proprietary frontier model family and the company’s most comprehensive AI release since the Gemini line debuted in 2023. The models are proprietary (closed-source), available exclusively through Google products, developer…

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Microsoft remakes Windows for an era of autonomous AI agents

Microsoft is fundamentally restructuring its Windows operating system to become what executives call the first “agentic OS,” embedding the infrastructure needed for autonomous AI agents to operate securely at enterprise scale — a watershed moment in the evolution of personal computing that positions the 40-year-old platform as the foundation for a new era of human-machine…

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Writer’s AI agents can actually do your work—not just chat about it

Writer, a San Francisco-based artificial intelligence startup, is launching a unified AI agent platform designed to let any employee automate complex business workflows without writing code — a capability the company says distinguishes it from consumer-oriented tools like Microsoft Copilot and ChatGPT. The platform, called Writer Agent, combines chat-based assistance with autonomous task execution in…

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Phi-4 proves that a ‘data-first’ SFT methodology is the new differentiator

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…

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For AI to succeed in the SOC, CISOs need to remove legacy walls now

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…

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In a sea of agents, AWS bets on structured adherence and spec fidelity

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…

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From shiny object to sober reality: The vector database story, two years later

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…

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