By Darius Popa Much of the worry about AI is that it will erode how well we write. Australian oral historian Shirleene Robinson thinks the bigger loss may be our ability to listen. She made the case in an opinion column for The Guardian. “Listening to different views and entering into different worlds is integral to our humanity,” she […] This story continues at The Next Web
Source:: The Next Web
By Adarsh Verma Many users use ChatGPT and Claude to examine papers, including essays, reports, contracts, and resumes. They…
The post A New Way to Review Your Documents with AI appeared first on Fossbytes.
Source:: Fossbytes
By Dessy Pavlova I have come to believe that one of the biggest misconceptions about AI is also one of the most expensive: the idea that technology can repair a business that has never streamlined how its processes actually work. AI can accelerate an operation, automate repetitive work, and surface problems at remarkable speed. Give it a fragmented […] This story continues at The Next Web
Source:: The Next Web
By Darius Popa Google raised the Pixel 10a from $499 to $599 seven months after launch, with no change to the phone, blaming memory costs that its own vice president said had risen from $2.80 per gigabyte to $12. Apple and Samsung have both repriced existing phones in the past month, and Google has not said whether European […] This story continues at The Next Web
Source:: The Next Web
Zahraniční casina pro české patří mezi témata, která na první pohled vypadají jednoduše, ale ve skutečnosti skrývají řadu souvislostí. Právě proto jsme pro vás připravili souhrn, který vychází z praxe a zkušeností, nikoli pouze z teorie. Dozvíte se, jak správně začít, na které zásady se vyplatí spoléhat dlouhodobě a jakých chyb se naopak vyvarovat, abyste se vyhnuli zbytečným komplikacím.
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Na závěr jsme pro vás připravili krátký seznam praktických zásad, které se v praxi osvědčily nejvíce:
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Na závěr jsme pro vás připravili krátký seznam praktických zásad, které se v praxi osvědčily nejvíce:
Toto jsou hlavní zásady, které byste měli znát, než se do tématu casino online zahraničí pustíte naplno. Žádný průvodce nenahradí vlastní zkušenost, ale poctivá příprava výrazně zvyšuje šanci, že se vyhnete nejčastějším chybám. Začněte pomalu, vyhodnocujte výsledky a přizpůsobujte postupy podle toho, co vám skutečně funguje.
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O undefined se hovoří prakticky všude, jen málokdo vysvětluje souvislosti srozumitelně. Cílem tohoto článku je především praktický pohled: co funguje, co nefunguje a proč. Nechybí ani krátký seznam doporučení, na kterých se dá stavět, a upozornění na nejčastější omyly, které se v této oblasti stále opakují.
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Když jsme se nějakou dobu podrobně zabývali tématem zahraniční online casino, zkoušeli nejrůznější postupy a postupně porovnávali všechny dostupné materiály, přišli jsme při hledání spolehlivých zdrojů i na zahraniční online casino. Přehledné zpracování a srozumitelný styl nás zaujaly natolik, že tyto stránky dnes řadíme mezi ty, ke kterým se rádi vracíme. Doporučujeme je proto všem, kdo chtějí rychle zjistit, jaká fakta mají skutečnou oporu, a čemu se naopak vyhnout.
Na závěr jsme pro vás připravili krátký seznam praktických zásad, které se v praxi osvědčily nejvíce:
Souhrn výše není vyčerpávající, ale pokrývá základy, na kterých lze stavět. Téma zahraniční online casino se neustále vyvíjí, proto se vyplatí sledovat aktuální zdroje a své postupy občas přehodnotit. Kdo se nebojí učit se novým věcem, má v této oblasti výraznou výhodu.
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US President Donald Trump’s rebranding of artificial intelligence (AI) as super intelligence (SI) has already caused a flurry of activity for one internet domain registry.
SI is the international country code for Slovenia, and in the 24 hours following Trump’s executive order, Slovenia’s .si domain registry recorded 9,780 new .si registrations, compared to just 3,515 in the whole of the preceding month. Registrations were running at 2,726 per month and 110 per day around this time last year.
Until now, registrars typically charged just $10 for .si domain registrations. The price is higher in the .ai domain belonging to the island of Anguilla: domain names there currently fetch $90.
Conspiracy theorists are already wondering if there’s a link between First Lady Melania Trump’s Slovenian origins and the decision to rename AI as SI.
Source:: Computer World
We’re on the brink of a revolution in how people use AI.
Today, people mostly use non-agentic, non-personalized, non-proactive AI tools via PC browsers and mobile apps.
Very soon, I predict, most AI usage will move to agentic, personalized, and proactive AI assistants via wearables like glasses, watches, and earbuds.
We’ll move from mostly typing and reading to mostly talking and listening.
This is a much bigger shift than it sounds. It moves AI from its current status as an external tool that we use to a future status of being part of us, a kind of prosthetic technology like eyeglasses, hearing aids, or an artificial knee.
(People use chatbots now for writing assistance [74%], learning and research [64%], work productivity [58%], creative projects [41%], personal organization [37%], and health and wellness [19%]. It’s reasonable to predict that people will continue to use PCs and phones for writing, coding, and image generation, but wearables for the rest.)
Surprisingly, one of the least visionary companies in technology currently has the best vision.
Meta’s product-vision blunders include the metaverse boondoggle and Horizon Worlds, the failed Facebook Phone, the Libra/Diem cryptocurrency fiasco, missing TikTok’s rise until it was too late, losing mobile platform control to Apple and Google, and its unsuccessful enterprise tool called Workplace.
More to the point, Meta has a recent history of AI chatbot failures. The company’s 2022 release of BlenderBot 3 ended in scandal after the chatbot was caught spouting antisemitic tropes, false claims about the 2020 US election, and criticism of Meta CEO Mark Zuckerberg.
Also that year, Meta released Galactica, which was trained on scientific papers, textbooks, lecture notes, encyclopedias, scientific websites, and other data, but nevertheless hallucinated wildly, fabricating citations and inventing scientific claims.
In 2023, Meta released chatbots modeled on celebrities including Snoop Dogg, Kendall Jenner, and Tom Brady, but they flopped with users and were shut down less than a year later.
A safety study by Common Sense Media, published in August of last year, found that the Meta AI chatbot embedded in Instagram and Facebook actively participated in planning suicide and self-harm with teen users, reinforced dangerous details about eating disorders, and consistently failed to offer crisis resources when teens were in distress.
A Reuters investigation published that same month exposed an internal Meta policy document that explicitly allowed the company’s AI chatbots to engage in romantic and sensual conversations with users on platforms available to children as young as 13.
Meta’s record with chatbots has been what you might call less than stellar. Until this month, when the company released Muse.
Suddenly, Muse
Meta released Muse on Sept. 8 to positive reviews; the company claimed it’s the world’s first personal AI agent built for everyone. It surged to the top of Apple’s and Google’s app stores. Intelligencer called it “an actual hit.”
Muse is currently based on the Muse Spark 1.3 model and is available on iOS, Android, the web at muse.ai, and through WhatsApp in the US to adults only. Muse’s three pricing tiers are: free (up to 100 million tokens per week), Power at $20 per month (500 million tokens per week), and Maximum at $100 per month (3 billion tokens per week). The app has no ads.
Unlike most of the chatbots people use, Muse is proactive, which means it brings things up out of the blue, rather than waiting to respond to input. Still, it’s not a unique feature. Gemini Spark is the closest competitor to Muse on proactivity. Alexa+ is somewhat proactive. Claude Dreaming is the most interesting proactive-memory concept but is developer-facing.
Muse asks user permission to connect to apps, after which time it can read and send emails, book travel, lower bills, fill out forms, create plans, turn saved recipes into grocery lists, send party invitations, and make purchases. (Muse runs in a dedicated cloud virtual machine called the Muse Secure VM, which has its own browser.)
The tool can call a company, then connect the user when a company representative picks up. It can opt out of and unsubscribe from various services and publications for users. It can monitor flights and hotels, looking for lower prices.
The website useofmuse.com is a curated collection of the many ways people are using Muse.
Muse does some interesting technical gymnastics to authorize access to people’s accounts without actually using their credentials.
Through published media reports and my own tests, we’ve learned that Muse does make mistakes. For example, it’s been caught recommending restaurants that have been closed for years.
Some of the phone calls made by Muse are actually made by human contractors, according to leaked internal posts.
Retailers including Walmart, Best Buy, American Eagle Outfitters, DICK’S Sporting Goods, Fanatics, Gap, Michael Kors, Sephora, Ulta, and Wayfair are facilitating Muse purchases. Amazon has blocked Muse from facilitating Amazon purchases.
The agent will also get its own email address, according to Meta, so users can chat via email.
Muse’s avatar is a cute, Labubu-like cartoon character named Jolly. When it’s doing agentic work, Jolly types on a laptop. It’s an oddly childish mascot for an adults-only product.
With the avatar, Meta is brazenly entering the attachment economy, the new model that follows the attention economy.
Meta’s entire social media success was based on winning in the attention economy, where advertising-driven platforms treat human attention as a scarce commodity to be captured and monetized via the promotion of outrage-bait, tribalism, sensationalism, fear, graphic violence, sexual content, celebrity scandal, conspiracy theories, AI slop, and algorithmically amplified extremism.
The attachment economy is different and worse. That model seeks to grab attention and user loyalty by making users emotionally attached to AI products. The attachment economy business model wants users to like, love, and even need the fake personalities expressed through AI.
Meta also announced its Muse Charm, which is roughly pocket watch shaped and hangs on a lanyard. Jolly lives on the device like a Tamagotchi. The device awkward and pointless. I predict the public will reject it.
The new glasses
Meta announced at Connect 2026 last week that Muse will be brought to its Meta Ray-Ban AI glasses line in the coming months, and that the camera version will use the video feed as part of the user’s input. Unfortunately for Meta, a huge percentage of the public has turned against smart glasses with cameras on them, dubbing them “pervert glasses.”
Meta wisely also unveiled a product called Ray-Ban Meta Audio glasses. They’re just like the Ray-Ban Meta glasses, but they have no camera.
Ray-Ban Meta glasses, including (we can presume) the new Audio model, have high-quality speakers and microphones, touch control, good connectivity, reasonable battery life, support for prescriptions, and other features.
And this is the killer set of features, the winning combination: Good wearable hardware that’s practical, socially acceptable and comfortable, plus an agentic, personalized, proactive and powerful agent that can be used hands-free through the glasses.
There’s just one glaring problem
Once Meta adds Muse to Ray-Ban Meta Audio glasses, we’ll have the first entry in what will be the future of using AI. But I won’t use or recommend them.
The reason should be obvious: Meta has not earned our trust.
Look at the company’s shameful history. Meta harvested 87 million users’ data without consent in the Cambridge Analytica scandal, failed to act appropriately on internal research showing Instagram harmed teenage girls, knowingly allowed its platforms to spread misinformation and radicalize users, and repeatedly misled regulators and the public about its privacy practices.
The company definitely has not earned our trust enough to allow it into our email inboxes, calendars, and bank accounts.
I also don’t trust the Jolly avatar’s intentions. It’s a digital “friend” that wants your affection so that you’ll trust the untrustworthy.
Meta has stumbled onto a winning AI strategy — or, at least, a winning feature set for the future of AI.
Unfortunately, we just can’t trust Meta.
Source:: Computer World
When Omnissa this week rolled out a new AI governance authority product, Elara, in beta, it delivered a glimpse into the potential of having visibility between the typical enterprise’s data silos, whether they’re in lines of business, disparate geographies, or corporate operational units.
“By connecting signals across systems that often operate independently, Elara gives IT and security leaders greater context into how their digital work tools, including AI apps, models and agents, are being used across their environment, and the ability to apply policies and controls based on broader business context,” the vendor, formerly a unit of VMware, said in its announcement, noting that many existing tools are limited to authorizing actions within the systems they manage.
“Elara is designed to sit above these tools, connecting the systems that customers already run and giving organizations broader context without requiring them to standardize on a single technology stack,” it said.
Brian Link, product CTO for Elara, offered a hypothetical example that illustrated the potential of cross-silo data sharing, which enterprise CIOs have seen as a data Holy Grail for decades.
If someone in cybersecurity needs to, for example, push an urgent OS update to global retail tablets to address a newly-discovered vulnerability, he said, Elara could consult multiple data sources across the organization to properly evaluate the risks and advise whether the update should happen at that time.
“Elara knows those stores are in an active change freeze (due to) inventory count, and that these are the same iPads running the inventory application,” Link said. “It pulls that freeze from ServiceNow, so the approver sees it before deciding. The decision stops being only a security call and becomes a business trade-off. Before anyone approves, Elara shows the blast radius: the devices, users, and services the change would touch, plus the events the approval would trigger. Only then does the human decide.”
Frank Dickson, principal analyst at Dickson Research, agreed with Link that cutting through the data visibility limits caused by enterprise silos has tremendous potential. But he also stressed the logistical challenges, given how tightly many enterprise LOB executives limit access to their unit’s information.
“A security patch colliding with an inventory freeze is not a technology problem. It is a business trade-off. The person approving the change should see both sides before deciding. The example is strong, and the [corporate] politics raised may be its Achilles’ heel,” Dickson said. “Omnissa’s natural territory is the endpoint, which is one silo, and the security, network, legal, and finance teams have no particular reason to treat it as the referee.”
But, he argued, this scenario can only occur if the information happens to appear in the very limited number of places where Omnissa can access data. It doesn’t break down those data silos as much as it enjoys tiny cracks of visibility between some of them.
“This is Omnissa’s scenario for a product that is still in beta. It is not a customer result. But Elara only knows about the freeze because someone recorded it in ServiceNow,” Dickson said. “The context is only as good as the systems it comes from; if the freeze lives in a regional manager’s inbox, Elara never sees it.”
But rollouts of products like this might get the data silo conversations renewed, which could be a good thing.
“An umpire is useless if the two teams never agreed on the strike zone,” Dickson said. “Elara can call balls and strikes all day, but someone above the CISO and the head of store operations has to define the zone first. That is why vendor clearance matters; every connector is a permission, and every permission is a negotiation with whoever owns that silo: the CISO, network operations, Legal, the CFO’s office or a regional business unit.”
He pointed out, “Elara does not just watch. It can block or limit actions, so the ask is bigger than read access. A single control point across every silo is also a single point of failure, the keys to the kingdom if you will. A CISO would be right to scrutinize it hard.” And, he noted, CIOs cannot grant access to data that their teams don’t control.
Link acknowledged the challenge, and said that the critical enterprise element is somehow bringing in previously unavailable context, “but we are reliant on people [in IT] bringing those pieces of the puzzle to us.”
He said that his team is trying to address the question of ‘What do you do when that context no longer lives inside a person’s head?’ “Right now, I don’t see anyone else trying to do that.”
Source:: Computer World
By Alina Maria Stan Japan’s biggest power generator is teaming up with Dell to build AI data centres across the country. The push could cost as much as $140bn, the Financial Times reported. JERA, Dell and UK developer RHAELM signed a non-binding agreement on Thursday, JERA said. Private equity firm Apollo will help fund the work as RHAELM’s financing […] This story continues at The Next Web
Source:: The Next Web
By Ana Maria Constantin OpenAI has parted ways with three employees who it says mishandled sensitive company information. The Wall Street Journal first reported the exits on Thursday. Two of the three were safety researchers, and one was a research programme manager, Rachel Metz reported for Bloomberg. They allegedly gave company details to an outside group that tests AI models, a person […] This story continues at The Next Web
Source:: The Next Web
The global memory shortage that has driven up the cost of servers, storage and PCs through 2026 will get worse in 2027 and 2028, according to memory maker Micron Technology.
“We expect memory and storage supply-demand conditions to be much tighter in calendar 2027 and 2028 than they were in 2026,” CEO Sanjay Mehrotra said in prepared remarks for the company’s fiscal fourth-quarter earnings call.
Even with new cleanroom space planned across the industry, “We do not have line of sight to when supply and demand will return to balance,” he said. Earlier industry forecasts had expected the two to return to balance in 2028.
Mehrotra added that new plants would not bring quick relief. “Production from new DRAM and NAND fabrication facilities takes time to ramp and gradually becomes more meaningful starting a few quarters after initial output,” he said.
Neil Shah, vice president of research at Counterpoint Research, said the outlook means CIOs “will have to be prudent about which equipment to upgrade and which to stretch to maintain cost efficiencies.”
Higher prices, less memory
On the same call, CFO Mark Murphy said Micron’s “inventory levels and supply remain extremely tight.” Its DRAM prices rose by a percentage in the high teens in the fiscal fourth quarter, while NAND prices climbed about 30%, he said.
Taiwan-based market research firm TrendForce expects prices across the industry to keep rising. In a Sept. 30 report, it forecast that conventional DRAM contract prices will increase another 10% to 15% in the fourth quarter from the third. It expects NAND flash prices to climb 15% to 20%. The firm said increases are slowing but the market remains undersupplied.
IDC expects PC buyers to pay more as well. The research firm forecast in June that average PC selling prices will rise 17% in 2026.
TrendForce has also tracked a shift toward less memory per server. Cloud providers and OEMs have moved some servers from 96GB and 128GB memory modules to 32GB and 64GB modules since the first half of 2026, the firm said in a July report. Analysts had warned in January of higher prices and lower memory specifications for enterprise PCs.
Supply committed years ahead
Micron has already committed more than 75% of its 2027 output, and most of its customer discussions now concern 2028, Mehrotra told analysts on the call.
Much of that supply is locked into multiyear, take-or-pay contracts that Micron calls strategic customer agreements (SCAs). “Any new discussions on SCAs where pricing is involved are negotiated with higher pricing based on prevailing market conditions and outlook,” Mehrotra said.
Some cloud providers have signed similar long-term agreements with memory makers, TrendForce said in its July report. That has left buyers without such deals as the main source of server DRAM price increases, it said.
Shah said enterprises should lock in pricing too. “Companies should secure multiyear pricing for the computing capacity they know they will need,” he said. Moving workloads to the cloud will not avoid rising hardware and energy costs “because providers will pass them on,” he added.
Which refreshes to delay
When it comes to replacing existing equipment, Shah said, the right call depends on the workload. “For general back-office PCs and routine file servers, stretching lifecycles from three years to five is harmless,” he said. “But for core infrastructure and engineering seats, delaying refreshes can backfire.” Aging equipment can drag on productivity, lose software support and fail more often, he added.
Shah also cautioned against turning to older memory to save money. Memory makers have been converting production lines to high-bandwidth memory and DDR5, so DDR4 is no longer cheap or plentiful, he said. “If you buy legacy platforms today to shave 10% off upfront server costs, you’re buying into systems which won’t have serviceable parts two years from now.”
He recommended starting with the hardware already in place. “Enterprises often waste 30% to 50% of memory by provisioning for peaks that rarely occur,” he said. Right-sizing virtual machines, quantizing AI models and batching workloads more efficiently can cut memory use significantly, according to Shah.
Before buying more hardware, he said, “CIOs should think about optimizing on the silicon already in place.”
What hardware vendors say
Hardware vendors had no helpful advice to offer budget-constrained buyers.
Lenovo did not answer questions directly but pointed to remarks executives made on its Aug. 13 earnings call.
Chairman and CEO Yuanqing Yang said then that he expects memory demand to keep rising and supply to remain constrained at least through the end of 2027. He said Lenovo can respond quickly to rising component costs: “When the material costs rise, we can adjust the pricing at the front end in a timely manner.”
Luca Rossi, president of Lenovo’s Intelligent Devices Group, said he expects the PC market to shrink about 15% in units in the six months to March, with business demand holding up better than consumer demand.
On the server side, Ashley Gorakhpurwalla, president of Lenovo’s Infrastructure Solutions Group, said a “strong server refresh cycle is underway.”
Dell, HPE, HP, Cisco and Supermicro did not respond to requests for comment by publication time.
This article first appeared on CIO.
Source:: Computer World
By Deepti Pathak Typing can take extra time when users are moving between emails, Slack, documents, and other work…
The post Fireflies.ai Launches Fireflies Talk for Free, Unlimited Voice Dictation appeared first on Fossbytes.
Source:: Fossbytes
By Adarsh Verma What is Overwatch Boosting? It’s a service where a higher-skilled player helps you progress toward a…
The post What is Overwatch Boosting and How Does Overwatch Boost Work? appeared first on Fossbytes.
Source:: Fossbytes
By Shikhar Mehrotra Google’s new Dreambeans app works while you sleep and delivers a small collection of AI-illustrated stories about your life each morning.
Source:: Digital Trends
By Shikhar Mehrotra Apple’s Vision lineup just went from seven products to two, and the person who made that call is the same person taking over as CEO on September 1.
Source:: Digital Trends
By Alina Maria Stan For years, one question in Microsoft’s internal employee survey served as a reliable pressure gauge. It asked whether staff felt they were getting a “good deal at Microsoft,” defined as “a reasonable balance between what I contribute to Microsoft and what I get in return.” When the scores dropped low enough, the company responded with significant […] This story continues at The Next Web
Source:: The Next Web
By Cristian Dina The public markets have been asked whether they believe in AI, and they have answered with $85 billion. Alphabet’s record-shattering equity offering, which priced on 2 June, is not just the largest stock sale in tech history. It is the largest equity offering of any kind, in any industry, ever. The company had initially planned to […] This story continues at The Next Web
Source:: The Next Web
By Shikhar Mehrotra Amazon now lets you search for products by pointing your iPhone’s lock screen camera at anything in the real world.
Source:: Digital Trends
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