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ChatGPT Images 2.0 je s přehledem nejlepší generátor obrázků, pokořil i Google. • Lépe pracuje s texty, drobnou grafikou, vytvoří noviny i komiks. • Poradí si také s bizarními prompty a pomůže obarvit černobílé fotky.

Gartner sees accelerating growth in IT spending, powered by cloud and AI infrastructure investment

A day after the International Energy Agency (IEA) said the US/Israel/Iran war was creating the worst energy crisis ever faced by the ‌world, Gartner increased its growth forecasts for global IT spending by nearly three percentage points.…

Microsoft has released out-of-band (OOB) security updates to patch a critical ASP.NET Core privilege escalation vulnerability. [...]

Zdá se, že Intel již nepracuje na samostatných herních grafikách Arc třetí generace, Celestial. GPU sice vyrobí, ale nejspíš je použije jen v profesionálním segmentu…

Cybersecurity researchers have discovered a new variant of a known malware called LOTUSLITE that's distributed via a theme related to India's banking sector. "The backdoor communicates with a dynamic DNS-based command-and-control server over HTTPS and supports remote shell access, file operations, and session management, indicating a continued espionage-focused capability set rather than Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

A critical security vulnerability has been disclosed in a Python-based sandbox called Terrarium that could result in arbitrary code execution. The vulnerability, tracked as CVE-2026-5752, is rated 9.3 on the CVSS scoring system. "Sandbox escape vulnerability in Terrarium allows arbitrary code execution with root privileges on a host process via JavaScript prototype chain traversal," according toRavie Lakshmananhttp://www.blogger.com/profile/[email protected]

For years now, Microsoft has been doing its level best to move you from desktop Office and Windows to Microsoft 365, Windows 365, and Azure Virtual Desktop (AVD). Since the company first started down this road, however, something changed: the AI revolution, which has become a huge deal for the guys from Redmond. 

So, it should come as no surprise that the company is now combining its efforts to push cloud-based PCs and get as many users working with its AI services as possible.

First, Microsoft has reduced pricing for Windows 365 and AVD in select configurations by 20%. In particular, the company is slashing prices for persistent desktop deployments and lower-tier virtual machines (VMs). These are the instances commonly used by task workers and call centers, not by developers or white-collar office worker bees. 

Microsoft is also expanding bundled discounts tied to existing enterprise agreements and Microsoft 365 subscriptions. This cuts the per-user cost for organizations already invested in its Desktop-as-a-Service (DaaS) ecosystem. 

Beyond that, the company is introducing an on‑demand start experience that allows Cloud PCs to hibernate when users disconnect. The change will lower infrastructure costs while preserving performance when sessions resume. 

In addition to lower base pricing, Microsoft is promoting new autoscaling and power management features in AVD. For example, unused instances will now shut down automatically. This addresses one of the key criticisms of cloud desktops: the cost of idle capacity. 

Considering how PC prices are skyrocketing, this new DaaS pricing makes a lot of sense. But what the company giveth, the company taketh. Turns out that price cut comes as Microsoft 365 costs are set to rise in July. Microsoft wants you to think that a per desktop price increase of up to 33% is worth it for all the brand-spanking new AI goodness. Me? I’m still not sure Notepad Copilot improved my work life by 0.33%, never mind 33%! 

Windows prices are also going up. After July 1, standalone Windows components (per user/month, commercial list), such as Windows E3 and E5 are going up while Windows Enterprise (per device/month) is set to jump by 31%, from $5.85 to $7.63.

Overall, according to US Cloud, a leading independent provider of third-party Microsoft support and enterprise licensing optimization, Microsoft’s pricing decisions will mean a cumulative cost increase of up to 25% on a typical $10 million Enterprise Agreement by mid-2026. That is the company’s “AI Tax.” (Hey, those gigawatt AI centers aren’t going to build themselves!)

Meanwhile, back in DaaS land, Microsoft is positioning its AI‑enabled Windows 365 Cloud PCs as a higher‑end class of virtual desktops: Still in beta, they combine Windows 365 with AI acceleration to deliver integrated Windows AI features to any device via the cloud.

These high-end virtual AI desktops require Windows 365 Enterprise SKUs with at least 8 vCPU, 32GB RAM and 128GB storage. In other words, while the low-end virtual desktops are getting cheaper to use for AI, you’ll want the most expensive configurations. These currently cost $123 per user, per month.

By comparison, for serious AI use, Microsoft recommends Copilot+ PCs. These are high-end Windows 11 PCs powered by a turbocharged neural processing unit (NPU) capable of delivering more than 40 trillion operations per second (TOPS). These, such as Lenovo’s ThinkPad T14s Gen 6 Snapdragon, cost around $2,100. 

It might appear that the standalone PC is cheaper for AI. But Microsoft argues that its cloud PC — which you can run on any device — will scale well beyond what a fixed NPU can deliver in a Copilot+ PC configuration. 

What I see happening is Microsoft is using its lower-end DaaS price cut as a broadening of the funnel into Windows 365 while it keeps the AI‑heavy experiences as an upsell on more capable Cloud PCs. In other words, the low-end DaaS price cuts and the increases in PC prices are, Microsoft hopes, all about getting you to move to high-end AI cloud-based desktops. 

There’s also the rumor that Microsoft will be shifting its AI-cloud services from a fixed priced plan to a token-based one. True, for model APIs and gen‑AI services, the company had already standardized on token‑based pricing. But we always knew flat-pricing for AI services was a loss leader. If Microsoft can get you on a cloud-based AI desktop today, it’s betting it’ll get far more revenue from you tomorrow than it can with today’s Software-as-a-Service (SaaS) such as Copilot in Microsoft 365. 

If all this sounds complicated, you’re right — it is. As SAMexpert CEO Alexander Golev reports, “Microsoft AI uses two billing systems: Predictable per-user licensing and variable Azure consumption. Hybrid products like Copilot Studio and Security Copilot can charge through both, so costs land in different budgets, require separate monitoring, and complicate forecasting.” You think?

Of course, Microsoft has long been about shifting people from buying software to leasing it. Promoting Windows 365 AI‑enabled Cloud PCs is very much about using AI as the differentiator to justify running a Windows desktop from Azure instead of a cheaper, more generic VDI/DaaS stack or a more generic Windows DaaS. 

What all this boils down is that while Cloud PC list prices are coming down for small and midsize businesses, Microsoft is baking more AI into its Enterprise Cloud PCs. Thus, AI will be the value‑add that keeps the high end of its desktop cloud premium. This will all, Microsoft hopes, continue to empower growth, which increasingly relies on Azure and AI. 

So, what does this all mean for you and me? While I admit AI can be valuable in some areas such as programming, I remain cynical about AI in broader business uses. After all, as the MIT NANDA report, “GenAI Divide / State of AI in Business 2025,” states: “95% of organizations are getting zero return” from AI. 

Let’s say AI eventually does deliver the goods — or as I see it, we finally figure out how to get real value from the technology beyond just meeting summaries. That’s great. But it begs the question, “Do you really want to tie yourself to Microsoft’s desktop and service?” I don’t think so. 

Personally, I’ve never wanted to put all my desktop eggs in one Microsoft basket, and I’m sure not going to do that now with AI.  

Over 1,300 Microsoft SharePoint servers exposed online remain unpatched against a spoofing vulnerability that was exploited as a zero-day and is still being abused in ongoing attacks. [...]

** Tchajwanské firmy dál rozšiřují v Česku výrobu serverů čipů i vývoj nových technologií a premiér Babiš o tom mlčí.** Spolupráce s Tchaj-wanem přináší Česku investice, know-how i nové polovodičové projekty.**  Česko chce z partnerství s Tchaj-wanem vybudovat základnu pro evropský čipový řetězec.

Tchajwanské firmy dál rozšiřují v Česku výrobu serverů čipů i vývoj nových technologií a premiér Babiš o tom mlčí • . • Spolupráce s Tchaj-wanem přináší Česku investice, know-how i nové polovodičové projekty. • Česko chce z partnerství s Tchaj-wanem vybudovat základnu pro evropský čipový řetězec.

Plně elektrická výletní loď uveze celkem 1856 cestujících • Moderní bateriový systém sníží emise skleníkových plynů o 95 % • Šikovná modulární konstrukce umožňuje snadné přidání generátorů

Statistika je neúprosná. Čína za 10 let podpořila polovodičovou výrobu téměř 4× vyšší objemem financí než Spojené státy, které v této metrice zaostávají nejen za Čínou, ale i za Koreou a EU…

Mozilla CTO says AI means developers finally have a chance to get on top of security

The Mozilla has revealed it tested Anthropic’s bug-finding “Mythos” AI model and feels the results it experienced represent a watershed moment for software defenders.…

Byla vydána nová verze 2.54.0 distribuovaného systému správy verzí Git. Přispělo 137 vývojářů, z toho 66 nových. Přehled novinek v příspěvku na blogu GitHubu a v poznámkách k vydání.

Grafana (Wikipedie), tj. open source nástroj pro vizualizaci různých metrik a s ní související dotazování, upozorňování a lepší porozumění, byla vydána ve verzi 13.0. Přehled novinek v aktualizované dokumentaci a na YouTube. Stalo se tak na konferenci GrafanaCON 2026.

Na YouTube proběhl Framework [ Next Gen ] Event 2026. Společnost Framework představila nový Framework Laptop 13 Pro, vylepšení Framework Laptopu 16 a OCuLink Dev Kit pro připojení vysoce výkonných periferií jako jsou eGPU a bezdrátovou klávesnici s integrovaným touchpadem Framework Wireless Touchpad Keyboard.

Generative AI is fundamentally (and quickly) shaping how information is discovered and acted on, forcing enterprises to rethink how they engage with both humans and machines.

Adobe is responding to this shift, introducing new tools that keep up with evolving branding, surface campaign insights, and speed up content creation. At this week’s Adobe Summit, the company introduced a new Brand Intelligence system and expansions to its GenStudio platform, as well as launching products that use agentic AI to reshape customer experience.

And last week, Adobe announced one of its most significant AI rollouts, the new Firefly AI Assistant, interestingly on the same day rival Canva introduced its own new agentic platform, Canva 2.0.

“Brand visibility is going to shift toward what agents see, and what is picked up, understood, and returned by those agents,” said  Terra Higginson, a principal research director at Info-Tech Research Group. “Adobe is well-positioned for this shift.”

[ More Adobe Summit 2026 coverage ]

Helping teams stay on brand

Adobe describes Brand Intelligence as a “continuously-learning engine” that provides context to AI agents so teams can quickly create content that aligns with evolving branding. Instead of basic, static brand guidelines, the platform can gain from more nuanced insights like customer feedback, rejections, and approvals.

The system is based on a collection of small language models (SLMs) tailor-made to have a much deeper understanding of how a brand shows itself, in a multi-modal fashion, Adobe VP Sundeep Parsa explained to Computerworld. Enterprises can tweak the content along the way.

Brand Intelligence essentially reshapes the content supply chain so that teams can measure, plan, create, and manage brand-specific materials. Such customization is critical, because, he pointed out, “Coca Cola’s brand intelligence system is going to look very different from Nike’s.”

Info-Tech’s Higginson pointed out that an interesting use case for this would be when a brand wants to capitalize on a trend quickly. Back in the day, “instant” still meant a lot of planning and rework, but new Brand Intelligence capabilities can personalize agentic content immediately while still adhering to brand guidelines and localization requirements in real time.

“It’s taking personalized content to another level,” she said.

Ultimately, with LLMs in the mix, brand visibility is “twice as hard” as it used to be, and marketers’ jobs have gotten significantly more complex, Higginson noted.

“They don’t just need to convince humans to buy their products; they now need to convince agents, too,” she said. That means content must be instantly accessible, structured properly, and governed by brand guidelines.

New GenStudio enhancements

Along with Brand Intelligence, Adobe has rolled out new offerings within its GenStudio content creation platform. Notably, this includes a ‘Workflow Optimization Agent’ in Adobe Workfront, its workflow management platform.

The agent automates actions across workflows such as planning, execution, review, and approval. This can help teams build projects, speed up reviews, and pull out insights on demand, without the need for manual reporting. Teams can also involve AI agents in project planning and assign them tasks, such as resolving simple issues or performing reviews based on specific instructions and context.

Additionally, new creative production capabilities in Adobe Firefly for Enterprise Workflow Builder help developers build reusable workflows, link generative actions, and run batch production. Teams can also launch AI agents that interpret campaign briefs, compile supporting assets, and build templates and workflows.

Adobe is also rolling out a new dedicated ‘canvas’ interface to help teams pull together inputs and performance data to build better campaign briefs. Here, too, they can kick off an AI assistant.

Further, Adobe is announcing a new GenStudio module for marketing that turns long-form documents and videos into tailored campaigns, builds customer case studies, and writes web content. Marketers can quickly pull out performance insights (such as leads generated or follower statistics) and ask AI for recommendations to expand audience reach. And a new agency system of record will preserve enterprise context as it moves across content flows, supporting governance, accountability, and a shared understanding of branding.

“End users are seeing an exponential increase in the amount of content that needs to be created,” Higginson noted, adding that the benefits of a tool like Adobe GenStudio are not just generation of more content, but faster iteration, and less manual rework.

“It’s necessary because humans can basically no longer keep up with the demand for creation, iteration, testing, optimization, localization, and related workflows,” she emphasized.

Firefly AI Assistant speeds up creation

Adobe also announced a new Firefly AI Assistant (available soon) that users can interact with in natural language. Based on human instructions, agents can build workflows, ask contextual follow-up questions, offer suggestions, and report on results. They can also organize and share work in the Frame.io collaboration platform, interpret feedback, and automatically apply changes.

Agents have access to pre-built skills purpose-built for specific workflows, such as retouching portraits. They learn from creators over time, determining their preferred tools, workflows, and aesthetics, and maintain persistent memory across sessions. This carries over to other Adobe apps, too, so developers don’t have to start from scratch with each one.

A primary use case for the Firefly AI assistant is that of a creative team requesting input from the division owner, Higginson explained, including questions about color and brand consistency. In a demo at the event, Adobe illustrated this with a campaign for a major travel company. Feedback was folded in “almost in real time,” then localized across languages and countries.

“Work that would have taken months was reduced to minutes,” Higginson said. The platform makes creative workflows “more conversational and easier to manage across teams, which gets users to optimization much faster.”

Competition launches the same day

In an interesting development, Adobe announced its new Firefly AI Assistant on the same day that Canva introduced its next-gen agentic platform, Canva 2.0. Available now in research preview, Canva 2.0 also features brand intelligence tools and AI agents. Canva calls it its “most significant product evolution” since the company launched in 2013.

The platform upgrade reflects a broader move, beyond design “into more unified, AI-driven workflows,” Higginson said. Canva’s recent acquisitions of Simtheory and Ortto reinforce that push: They suggest the company is building toward a “wider marketing platform,” with content-centric workflow, stronger measurement, and lighter customer data platform (CDP) and lifecycle marketing capabilities that overlap with entry-level customer relationship management (CRM) territory.

That makes Canva more competitive, particularly with broader user groups and small to medium businesses (SMBs).

“Canva’s strength is accessibility, while Adobe’s strength is enterprise workflow depth,” said Higginson. “Adobe, though, still appears better positioned in complex enterprise environments where governance, scale, and established workflows matter more.”

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