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Mistral has introduced Forge, a new platform aimed at helping enterprises move beyond generic AI systems by enabling them to train and adapt models on proprietary data.

Today’s AI systems are largely developed using open internet data and are built to handle a wide variety of general tasks. However, enterprises depend on deeply embedded internal knowledge, including proprietary processes, regulatory requirements, custom software environments, and the accumulated experience of their organizations.

“Forge bridges the gap between generic AI and enterprise-specific needs,” Mistral said in a statement. “Instead of relying on broad, public data, organizations can train models that understand their internal context embedded within systems, workflows, and policies, aligning AI with their unique operations.”

Forge supports multiple stages of the model lifecycle, Mistral said, including pre-training on internal datasets, post-training for specific tasks, and reinforcement learning to align models with internal policies and operational requirements.

The company said Forge is already being used by organizations including ASML, Ericsson, and the European Space Agency.

Mistral is also emphasizing data control, saying enterprises can retain ownership of both models and underlying data, an issue for companies concerned about reliance on third-party AI providers.

The move puts Mistral in closer competition with players like OpenAI and Anthropic, which have so far focused more on general-purpose models and enterprise integrations.

Enterprise feasibility and adoption

While the idea may be appealing, not everyone is convinced it will see widespread adoption. Concerns around cost and readiness could limit custom model development to niche use cases.

Building models from scratch will remain realistic only for a “small set of large enterprises with strong AI talent, deep budgets, and specific data advantages,” according to Tulika Sheel, senior vice president at Kadence International.

“For most organizations, fine-tuning and RAG [Retrieval Augmented Generation] will continue to be more practical and cost-efficient,” Sheel said. “Where Mistral’s approach becomes relevant is in highly regulated or domain-specific sectors that need full control over data, models, and outputs.”

Sheel added that fully customized models are most relevant in compliance-heavy industries, multilingual environments, and highly specialized workflows such as legal, healthcare, and financial analysis. In these scenarios, generic models augmented with retrieval techniques may fall short in delivering the required nuance and consistency.

Others said Mistral’s offering will be useful only when enterprises have a clear strategic understanding of how they want to deploy AI.

“I think we are not there yet, with enterprises still figuring out AI,” said Faisal Kawoosa, founder and chief analyst at Techarc. “It’s good that they have introduced this concept, and my sense is enterprises will experiment with it for now. But I don’t see any serious deployments for at least the next two years, by which time enterprises may have greater clarity on AI in their businesses.”

Still, analysts suggest there is scope for such offerings, as data sovereignty is becoming increasingly important, particularly in regions such as Europe and the Middle East, and in sectors like finance, legal, quantum computing, and healthcare.

“The frontier models fine-tuned for these sectors, whether based on open or proprietary foundation models, do not offer the desired level of sovereignty, and Mistral is trying to address that problem with Forge,” said Neil Shah, VP for research at Counterpoint Research. “Fully customized, pruned, and optimized models can deliver more accurate and relevant outputs compared to the RAG approach currently used in frontier models.”

The article originally appeared in CIO.

Apple už znovu fotí české ulice, Google začne v dubnu. • Mapy.com se však bez nové Panoramy obejdou již třetí rok v řadě. • Seznam chce investovat do funkcí, které jsou přínosnější.

Sometimes, simple sure is tough to beat.

In tech today, it’s all too easy to get lost in a sea of complexity — and to drown in desperate-seeming solutions for problems that don’t actually exist. (And that, ahem, is putting it nicely.)

But perhaps not surprisingly, it’s the simple improvements to basic productivity challenges that tend to have the most genuine, lasting impact on our day-to-day lives.

The perfect example, for me, is a teensy-seeming touch Google added into Android specifically for its own Pixel devices a couple years back. It’s a barely-noticed extra option that appears anytime you capture a screenshot that lets you set an on-the-fly reminder around whatever’s on your screen — effectively turning any screenshot into an instant memo that returns to demand your attention whenever the time’s right.

There’s no fancy-schmancy AI involved, nor are there any invisible “agents” fumbling around and trying to perform tasks on your behalf. It’s just a simple system for swiftly setting a memo to yourself and knowing it’ll come back when you need it.

The problem is that this power is limited only to Google’s more recent Pixel devices — via the 2024-era Pixel Screenshots app — and that leaves a good chunk of our Android-appreciating amigos out in the cold.

Today, at long last, I’ve got an answer — one that’s actually a nice little practical upgrade for any Pixel owners in addition to being a completely new capability for everyone else.

[Don’t stop here: Come check out my free Android Intelligence newsletter for three new things to try in your inbox every Friday — and my Android Notification Power-Pack as a special welcome bonus!]

Your Android screenshot memo upgrade

First, let me back up a sec to say: This solution is a looooooooong time coming.

I’ve been trying to work up a method to emulate Google’s easy memo-making magic in a way that’d work for everyone ever since its arrival on the 2024 Pixel 9 devices — because it really has become such an indispensable option for me and is hands-down the Android feature I rely on more than any other recent addition.

Replicating the AI sorting element of the Pixel Screenshots system is easy enough, but that’s not the part that’s actually most useful. (Simple, remember?) And while I’ve come up with some roundabout ways to recreate the memo function before, they’re inevitably either overly complex or inherently limited in how much info they actually save and resurface.

Recently, though, a crafty developer came up with an app that gives us the missing piece of the puzzle. It’s called Shots Studio, and if you aren’t using a Pixel phone — or you’re using a Pixel that came out before the Pixel 9 — it’s well worth your while to download. And, as I alluded to a moment ago, it adds some interesting new touches into the equation that may make it worthwhile even for recent Pixel owners to consider.

At its core, Shots Studio is essentially a recreation of the Pixel Screenshots app — only with even more flexibility and, of course, a framework that works on any device, no matter who made it or how old it might be. It’s completely free to use, with optional donations to support the developer if you’re ever so inspired.

And there really isn’t much to getting it up and running:

• First, install Shots Studio onto whatever Android device you’re using.
• Open ‘er up and follow the prompts to grant the app the permissions it needs to operate.
  • Shots Studio needs access to your photos and storage in order to see and work with your screenshots, and it needs the ability to send you notifications to — y’know, notify you when a new memo comes due.
  • The app is clear about the fact that it doesn’t store or share any sort of personal data, and it’s entirely open source, too, so anyone with the right know-how can peek directly into its code to confirm what it is and isn’t doing.
• Next, the app will ask what AI provider — if any — you want to use for processing and analyzing your screenshots as you capture ’em.
  • Personally, I’d start with the “OCR Only” (no AI) path. It’s the simplest path forward, and it still allows you to do all the memo-making stuff that matters and just limits the auto-screenshot-categorizing elements that you probably won’t end up using often, anyway.
  • You can always go back into the app’s settings later if you decide to rethink that.
• And — well, that’s pretty much it.

Now, anytime you capture a screenshot — by pressing your phone’s physical power and volume-down buttons together or using whatever other method you prefer — just tap the share icon that pops up on your screen as a part of the confirmation, then look for Shots Studio in the list of options that appears.

Capturing a screenshot (left) and then sharing it to Shots Studio (right) is all it takes to get a memo going.

JR Raphael, Foundry

To make it even easier, I’d suggest pinning Shots Studio to the top of your Android sharing menu so it’s always right there and ready when you take that step — no swiping, scrolling, or hunting required.

While your actual screenshot will automatically appear within Shots Studio no matter what, that simple sharing step will take you directly into the app’s screenshot processing interface right after you’ve captured it. And that’s key to the next step in this fun little adventure.

The Shots Studio screenshot memo interface is where the real magic begins.

JR Raphael, Foundry

From there, y’see, all you’ve gotta do is touch that clock icon along the bottom edge of the screen — aaaaand, poof:

Creating a memo from a screenshot takes maybe 20 seconds, max.

JR Raphael, Foundry

You can now create your instant memo around whatever was on your screen — and set it to reappear as a notification on whatever day and time you want. The app has some handy one-tap quick options for common times, or you can use the date and time selection tool to find any ol’ moment you need.

What’s especially nice about this approach is that it also gives you the option to create your own custom memo on top of whatever’s visible in the screenshot — which is a really helpful way to add in extra context and info for your future self about why, exactly, that screenshot is going to be relevant again (if the screenshot itself isn’t entirely self-explanatory). That’s something the Pixel Screenshots setup doesn’t allow and the interesting practical upgrade I mentioned a moment ago.

Shots Studios’ screenshot memos are even richer than what Google’s Pixel Screenshots setup allows.

JR Raphael, Foundry

Whenever the day and time you selected arrives, your screenshot memo — and any additional info you left alongside it — will return as a simple ‘n’ straightforward can’t-miss notification.

Your screenshot-associated memo — delivered.

JR Raphael, Foundry

That’s it! It’s simple and effective — and, if you’re anything like me, it’ll become a key ingredient of your Android productivity recipe in no time.

Add even more gooey geeky goodness into your oven with my free Android Intelligence newsletter — three new things to try every Friday and my free Android Notification Power-Pack today.

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This St. Patrick’s Day, USAT is making the bridge to digital currency as short as a QR code scan. During a high-impact brand activation in the heart of New York City, USAT is taking over Times Square to show 2 million people how simple moving money can be. The activation coincides with the New York City St. Patrick’s Day Parade, drawing more than 150,000 marchers through the city’s heart.

By pairing massive, coordinated digital screen displays with a street-level campaign, USAT is inviting the public to download the Rumble Wallet and receive $10 in USAT for free. Coordinated imagery across several of Times Square’s most recognizable digital screens will culminate in a synchronized share-of-voice takeover, transforming multiple screens into a single, unified visual that shows how digital dollars move between people in an instant. At street level, 25,000 promotional postcards will be distributed, inviting passersby to scan a QR code to claim $10 in USAT. The activation ran from 10 AM ET to 11:59 PM ET.

The activation reflects a growing shift in fintech marketing toward experiential campaigns that translate complex financial technology into tangible consumer experiences. The mechanic is simple: Scan. Download. Receive. It is the same technology that already moves money for more than 550 million people worldwide, now available to anyone walking through Times Square with a smartphone in their pocket.

Stablecoins are blockchain-based digital dollars designed to maintain a stable value while enabling instant, internet-native payments between digital wallets. They combine the price stability of traditional currency with the speed and programmability of blockchain networks.

“USAT builds on the principles that made USDT the most widely used stablecoin in the world,” said Paolo Ardoino, CEO of Tether. “Today, USDT is used by more than 550 million people globally, helping move digital dollars across the internet instantly and reliably. USAT brings those same foundations to a new audience, making it easier for people to experience how digital dollars can function in everyday life.”

“Times Square on St. Patrick’s Day is one of the most electric environments in the world,” said Bo Hines, CEO of Tether USAT. “We are not just running ads, we are handing people the future of money and letting them use it on the spot. This activation invites people to experience the next generation of money right on their smartphones. By pairing digital billboards with a dynamic street activation, we are turning a complex technology into something people can see, experience, and use for themselves.”

Digital dollars no longer require a tutorial. They require an opportunity. Large-scale activations like this have become an increasingly common strategy for fintech and technology brands looking to bridge the gap between digital infrastructure and mainstream awareness. USAT is a digital dollar designed to maintain a 1:1 value with the U.S. dollar while enabling instant digital payments through blockchain networks. Send it, receive it, spend it – globally, in seconds. Moving money should feel as simple as sending a message. With USAT, it does.

Nvidia investovala přes 53 miliard dolarů do AI a nově poslala dvě miliardy do Nebiusu s vazbou na Prahu • . • Nebius uzavřel kontrakt s Metou za 27 miliard dolarů a buduje datacentra s novými čipy Nvidia. • Firma vzniklá z Yandexu rychle roste, tržby stouply o 479 procent a posiluje i vývoj v ...

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The senior leadership shuffle at Microsoft continued on Tuesday when company CEO Satya Nadella announced that the company is unifying the commercial and consumer Copilot systems in a new division overseen by Jacob Andreou.

Andreou, former CVP of product and growth at Microsoft AI, will oversee a division that Nadella, in an internal advisory, said will span what he described as four connected pillars: Copilot experience, Copilot platform, Microsoft 365 apps, and AI models.

In the same advisory, Mustafa Suleyman, EVP and CEO of Microsoft AI, stated that the appointment will allow him to focus all his efforts on the firm’s superintelligence efforts.

He wrote, “to ensure that the models we build and the products we ship are mutually reinforcing, we are establishing a Copilot Leadership Team that includes me, Jacob, Charles Lamanna, Perry Clarke, and Ryan Roslansky. This will enable us to focus our brand strategy, our product roadmap, our models, and our core infrastructure, as one, to deliver the best experiences possible for all our users.”

Lamanna, Clarke, Roslansky, who is also CEO of LinkedIn, and Pavan Davuluri, were named last week as members of a new executive team that will replace the retiring Rajesh Jha, EVP for experiences and devices, which includes Microsoft 365 and Windows.

Jason Andersen, VP and principal analyst at Moor Insights & Strategy described the moves as sensible:  “Overall, it’s a sign of a maturing AI marketplace. There’s a big opportunity for Microsoft to leverage its historic value proposition into a new type of AI-driven user platform,” he said.

He pointed out that he believes “we are seeing Microsoft take the next step in positioning Copilot not just as a portfolio of AI tools, but as an overall intelligence platform for everyone. And that’s really interesting, since it’s something not many other companies can attempt.” 

Andersen noted that, to encourage AI adoption, vendors have released overlapping and even competitive products, which has led customers to be uncertain about what to use and deploy. 

Some of that, he said, is “the industry collectively trying to figure things out and see what works in this new era. But some of it is self-inflicted as well. This change at Microsoft will help it focus on delivering a clearer, longer-term roadmap for customers around a more consistent, consolidated customer experience.”

But that said, he added, “it’s an open question as to whether an organizational move like this is too early. We are still in a period of rampant innovation and AI progression, and a move to more horizontal integration could hamper velocity if and when the next killer AI app happens. I am going to assume Microsoft is hearing from its customers and business partners that being first to market with the next big thing is less important than a more consumable, easily deployable experience that gets traction sooner.”

In the internal post, Nadella wrote, “it’s clear a new era of productivity is emerging as AI experiences rapidly evolve from answering questions and suggesting code to executing multi-step tasks with clear user control points. You see this in our announcements over the last couple of weeks, like Copilot Tasks and Copilot Cowork, agentic capabilities in Office, and Agent 365.”

As these experiences connect more naturally across agents, apps, and workflows, he pointed out, “we have an opportunity to help customers spend more time on higher-value work and reduce manual coordination, while providing people with more agency and empowerment, and organizations with the governance and security controls they need.”

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