For the last two years, the prevailing logic in generative AI has been one of brute force: if you want better reasoning, you need a bigger model. While "small" models (under 10 billion parameters) have become capable conversationalists, they have historically crumbled when asked to perform multi-step logical deduction or complex mathematical proofs.Today, the Technology Innovation Institute (TII) in Abu Dhabi is challenging that scaling law with the release of... Read more âș
0
Nvidia CEO Jensen Huang said last year that we are now entering the age of physical AI. While the company continues to offer LLMs for software use cases, Nvidia is increasingly positioning itself as a provider of AI models for fully AI-powered systems â including agentic AI in the physical world.At CES 2026, Nvidia announced a slate of new models designed to push AI agents beyond chat interfaces and into... Read more âș
0
Fintech Brex is betting that the future of enterprise AI isnât better orchestration â itâs less of it.As generative AI agents move from copilots to autonomous systems, Brex CTO James Reggio says traditional agent orchestration frameworks are becoming a constraint rather than an enabler. Instead of relying on a central coordinator or rigid workflows, Brex has built what it calls an âAgent Meshâ: a network of narrow, role-specific agents that... Read more âș
0
When the creator of the world's most advanced coding agent speaks, Silicon Valley doesn't just listen â it takes notes.For the past week, the engineering community has been dissecting a thread on X from Boris Cherny, the creator and head of Claude Code at Anthropic. What began as a casual sharing of his personal terminal setup has spiraled into a viral manifesto on the future of software development, with industry... Read more âș
0
AI is evolving faster than our vocabulary for describing it. We may need a few new words. We have âcognitionâ for how a single mind thinks, but we don't have a word for what happens when human and machine intelligence work together to perceive, decide, create and act. Letâs call that process intelition. Intelition isnât a feature; itâs the organizing principle for the next wave of software where humans and... Read more âș
0
For decades, we have adapted to software. We learned shell commands, memorized HTTP method names and wired together SDKs. Each interface assumed we would speak its language. In the 1980s, we typed 'grep', 'ssh' and 'ls' into a shell; by the mid-2000s, we were invoking REST endpoints like GET /users; by the 2010s, we imported SDKs (client.orders.list()) so we didnât have to think about HTTP. But underlying each of those... Read more âș
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Nvidiaâs $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over the future AI stack. 2026 is when that fight becomes obvious to enterprise builders.For the technical decision-makers we talk to every day â the people building the AI applications and the data pipelines that drive them â this deal is a signal that the era of the one-size-fits-all GPU as... Read more âș
0
xAI has launched Grok Business and Grok Enterprise, positioning its flagship AI assistant as a secure, team-ready platform for organizational use. These new tiers offer scalable access to Grokâs most advanced models â Grok 3, Grok 4, and Grok 4 Heavy, already among the most performant and most cost-effective models available in the world â backed by strong administrative controls, privacy guarantees, and a newly introduced premium isolation layer called... Read more âș
2
Four in 10 enterprise applications will feature task-specific AI agents this year. Yet, research from Stanford Universityâs 2025 Index Report shows that a mere 6% of organizations have an advanced AI security strategy in place.Palo Alto Networks predicts 2026 will bring the first major lawsuits holding executives personally liable for rogue AI actions. Many organizations are grappling with how to contain the accelerating and unpredictable nature of AI threats. Governance... Read more âș
5
When initially experimenting with LLMs and agentic AI, software engineers at Notion AI applied advanced code generation, complex schemas, and heavy instructioning. Quickly, though, trial and error taught the team that it could get rid of all of that complicated data modeling. Notionâs AI engineering lead Ryan Nystrom and his team pivoted to simple prompts, human-readable representations, minimal abstraction, and familiar markdown formats. The result was dramatically improved model performance.... Read more âș
0
The AI narrative has mostly been dominated by model performance on key industry benchmarks. But as the field matures and enterprises look to draw real value from advances in AI, weâre seeing parallel research in techniques that help productionize AI applications. At VentureBeat, we are tracking AI research that can help understand where the practical implementation of technology is heading. We are looking forward to breakthroughs that are not just... Read more âș
9
When Google released its newest AI image model Nano Banana Pro (aka Gemini 3 Pro Image) in November, it reset expectations for the entire field. For the first time, uses of an image model could use natural language to generate dense, text-heavy infographics, slides, and other enterprise-grade visuals without spelling errors. But that leap forward came with a familiar tradeoff. Gemini 3 Pro Image is deeply proprietary, tightly bound to... Read more âș
3
For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows.That stability eroded as successive waves introduced NoSQL document stores, graph databases, and most recently vector-based systems. In the era of agentic AI, data infrastructure is once again in flux â and evolving faster than at any point in recent memory.As 2026 dawns, one lesson has become... Read more âș
38
Facebook and Instagram parent company Metaâs agreement to acquire Manus for more than $2 billion â announced last night by both companies and reported in The Wall Street Journal â marks one of the clearest signals yet that large tech platforms are no longer just competing on model quality, but on who controls the execution layer of AI-powered work.Manus, a Singapore-based startup founded by Chinese entrepreneurs that debuted earlier this... Read more âș
16
Active Directory, LDAP, and early PAM were built for humans. AI agents and machines were the exception. Today, they outnumber people 82 to 1, and that human-first identity model is breaking down at machine speed.AI agents are the fastest-growing and least-governed class of these machine identities â and they donât just authenticate, they act. ServiceNow spent roughly $11.6 billion on security acquisitions in 2025 alone â a signal that identity,... Read more âș
1
At 77-year-old promotional products company Gold Bond Inc., CIO Matt Price knew generative AI adoption wouldnât come from rolling out a chatbot. Employees needed AI embedded into the work they already hated doing: messy ERP intake, document processing, and call follow-ups.Instead of pitching benchmarks, Price built a small group of âsuper-usersâ to surface Gold Bondâspecific examples and train the rest of the org. They then wired Gemini and other models... Read more âș
15
Hot on the heels of its new $140 million Series D fundraising round, the multi-modal enterprise AI media creation platform fal.ai, known simply as "fal" or "Fal" is back with a year-end surprise: a faster, more efficient, and cheaper version of the Flux.2 [dev] open source image model from Black Forest Labs.Fal's new model FLUX.2 [dev] Turbo is a distilled, ultra-fast image generation model thatâs already outperforming many of its... Read more âș
2
With the ecosystem of agentic tools and frameworks exploding in size, navigating the many options for building AI systems is becoming increasingly difficult, leaving developers confused and paralyzed when choosing the right tools and models for their applications.In a new study, researchers from multiple institutions present a comprehensive framework to untangle this complex web. They categorize agentic frameworks based on their area of focus and tradeoffs, providing a practical guide... Read more âș
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Presented by Microsoft and NVIDIAAs the worldâs leading platform providers and champions for advancing AI globally, NVIDIA and Microsoft continue to deliver unequaled value for organizations investing in and deploying AI. The companiesâ collaborative efforts at the 2025 Microsoft Ignite conference offered tangible proof, introducing practitioners and decision-makers to new and expanded AI infrastructure and cloud solutions for accelerating enterprise transformation and real-world impact with AI agents.IT an Read more âș
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The drumbeat for AI is deafening. Weâre surrounded by a mix of hype, fear and intense pressure to do something with this technology that seems to be advancing at the speed of light. For CIOs and enterprise technology leaders, the path forward can seem murky and fraught with the risk of missteps. But I believe the greatest risk isn't getting it wrong; it's waiting for a âperfectâ AI strategy while... Read more âș
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22.03.2026 07:01
Last update: 06:55 EDT.
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