By Ana Maria Constantin OpenAI has released a security feature for ChatGPT accounts that treats them the way banks treat online banking: hardware keys, no passwords, no email recovery, and no help from customer support if you lose access. The feature, called Advanced Account Security, is an opt-in setting that requires users to authenticate with two passkeys, two hardware […] This story continues at The Next Web
Source:: The Next Web
New research from the Oxford Internet Institute indicates that AI chatbots trained to be extra warm, friendly, and empathetic can also become less reliable, according to the BBC.
The researchers analyzed more than 400,000 responses from five different AI models from Meta, Mistral AI, Alibaba, and OpenAI. The results showed that the “kinder” versions more often gave incorrect answers, reinforced users’ misconceptions, and avoided stating uncomfortable truths.
For example, a friendlier model might deal with conspiracy theories about the moon landing more cautiously instead of clearly stating that they are false.
On average, incorrect answers increased by about 7.43 percentage points when the models were made to sound warmer in tone. Cooler and more direct models made fewer mistakes. According to the researchers, AI makes the same trade-off as humans: it sometimes prioritizes being perceived as pleasant rather than being direct.
Source:: Computer World
By Manisha Priyadarshini Meta terminated its contract with Kenyan AI training firm Sama shortly after workers alleged they were exposed to graphic footage captured through its smart glasses.
Source:: Digital Trends
Fortune 500 enterprises will be deploying armies of AI agents by 2028 — to the tune of 150,000 digital “workers,” Gartner said in a survey released this week. That would represent a sharp jump from the average of about 15 agents deployed per company last year.
And agents as actual co-working tools are likely to go mainstream within the same time frame, said Max Goss, senior director analyst for Gartner. These agents won’t just be text boxes from which users get responses, but assistants to which actual work can be delegated.
“We’ve seen a sort of new appreciation in the industry of what agent AI can do,” Goss said.
Many AI agents can already handle basic tasks such as summarizing documents on behalf of workers. Upcoming agents will be able to take spreadsheets and word documents, automate work, and offer an interface that makes the tools friendlier to use, Goss said.
That’s already happening in applications such as Google Workspace and Microsoft 365, with easy-to-use AI interfaces, automated workflows and collaboration.
Despite the fast uptake for agentic AI, fully autonomous agents are uniquely to be in place in just two years, Goss said. Humans will still need to be part of the loop from a security and governance standpoint, with semi-autonomous agents trusted to handle multi-step processes in specific domains replacing prompts.
The 150,000-agents-per-organization estimate is a ballpark figure pulled from multiple surveys and data gathered by Gartner. “We’ve got some good numbers now on agent usage and we can see how it’s been growing,” Goss said.
Gartner’s aggressive projection, if it holds true, represents a more optimistic view of the technology than other surveys — some of which have pegged failure rates for generative AI tools as high as 95%. But companies like EY and Lumen have demonstrated successful agent deployments, mostly for knowledge workers and customer service.
“Agentic usage tends to be…most valuable in the customer service and data and analytics space…. Those are areas where we have more confidence that AI tools can add value,” Goss said.
Agentic AI use in other areas is likely to advance more slowly. For example, highly regulated fields such as finance and healthcare have to be careful with agent deployment and require guardrails in place to reduce hallucinations and errors.
And agents at the scale envisioned by Gartner will need 100% uptime, just like servers. As a result, companies will likely have to ensure agent reliability by spreading them across multiple models and hardware resources, Goss said.
Excessively high use has at times prompted companies like Anthropic and OpenAI to shut down access to the large language models (LLMs), undermining the reliability of AI services within enterprises.
There are many things IT leaders can do now to prepare for successful deployments, Goss said, such as sanctioning agent use and pro-actively allowing them to be deployed. “If they just block all agents, then employees…are going to probably go around your controls…. They might use unsanctioned tools otherwise known as shadow AI and I think that’s a greater risk,” he said.
Decision-makers will need to guard against AI agent sprawl, and put the right controls in place to govern them. “If you don’t have any visibility of them, then that’s a huge risk for the organization,” Goss said.
Poor management can also leave gaps that break processes or create security vulnerabilities.
And as AI automates legacy business processes, new processes will need to be drawn up for agents. “I don’t think it’s a good idea to be like, ‘Well, this is the process we’ve already done and let’s slap an agent on top of it and see what happens’…. Process design and agentic AI go hand in hand,” Goss said.
genetic AIHe argued that companies should be prepared for some agentic AI tools to fail, which can happen even with safeguards in place to minimize risks. “That [failure] is kind of okay, because actually we need…to understand where these tools can help us and where they can’t,” Goss said.
Source:: Computer World
In today’s globalized world, the pursuit of career advancement often leads individuals to seek opportunities beyond their home countries. Europe is emerging as a prime destination for professionals looking to enhance their careers. However, navigating the complexities of immigration and job placements can be daunting. This is where Europe job consultants play a pivotal role, acting as guides through the labyrinth of regulations, cultural nuances, and job market dynamics.
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Securing a job in Europe is a transformative journey, and with the right guidance from Europe job consultants, the path becomes much clearer. From understanding visa types to navigating job applications, expert consultants are invaluable allies in this endeavor. If you’re ready to take the leap into international opportunities, reach out to the Global Immigration Network today at www.globalimmnetwork.com and start your adventure toward a successful career in Europe!
By Shimul Sood Google is bringing Gemini to cars, promising more natural conversations and smarter in-car assistance that actually understands what you mean.
Source:: Digital Trends
By Adarsh Verma Waiting in line for a midnight game release or scrambling to find a sold-out gaming headset…
The post Why Savvy Gamers Are Embracing Digital Marketplaces for Gear and Games appeared first on Fossbytes.
Source:: Fossbytes
By Rachit Agarwal Apple’s AI smart glasses will feature dual cameras and hand gesture controls, with a stripped-down feature set designed to keep the device slim, light, and long-lasting.
Source:: Digital Trends
By Deepti Pathak The April version of ColorOS 16 by OPPO India has started to be released to bring…
The post ColorOS 16 April Update: OPPO India Adds Football Highlights and Video Improvements appeared first on Fossbytes.
Source:: Fossbytes
By Shimul Sood Apple has quietly walked away from the Vision Pro, disbanding its internal team and shelving future models — marking a costly end to the company’s most ambitious and least successful product in years.
Source:: Digital Trends
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By Shimul Sood A team of researchers has built a tool that maps how cities actually function — using nothing but anonymous cell phone data.
Source:: Digital Trends
By Manisha Priyadarshini KitKat has unveiled a chocolate wrapper that doubles as a Faraday cage, blocking all phone signals the moment your device slides inside.
Source:: Digital Trends
By Ana-Maria Stanciuc The discussions, triggered by a visit from Nvidia’s Madison Huang, would deepen LG’s physical AI ambitions and give Nvidia another major consumer electronics partner at a moment when physical AI is moving from lab to factory floor. LG Electronics confirmed on Wednesday that it has been in discussions with Nvidia over potential cooperation in three […] This story continues at The Next Web
Source:: The Next Web
Apple is building new AI photo editing tools to introduce with its next major software updates this fall, and these won’t be the only AI tools and services it wants to talk about at the Worldwide Developers Conference (WWDC) in a few weeks’ time.
While it is correct to say Apple has had setbacks in AI development, it has also had successes. Was it ready for the generative AI (genAI) juggernaut? Probably not, nor has it successfully developed its own response in-house. Is Apple’s platform ready for AI? Indisputably, with the power and performance across all its hardware products to run AI on the edge, in the cloud, and as-a-service. Right now, Apple doesn’t offer the world’s best AI services, but does offer the world’s best platform on which to run them.
Given you can’t have one without the other, no matter how you slice and dice it, Apple has therefore seen partial success in AI. Now, it just needs to add the software and the services, about which we’ll find out much more in June.
What can we expect from the New Apple AI?
Apple’s AI photo editing updates will join the existing Clean Up tool and include tools that include Extend, Enhance, and Reframe:
Extend: Extends an image beyond the original frame using the source image as a guide, this works in a similar way to Adobe Photoshop’s Generative Expand.
Enhance: Scan the image and optimize it improved color, lighting, and other effects.
Reframe: A spatial feature that can shift the perspective of an image, so a photo of the side of someone’s head can become a portrait shot, thanks to AI.
Bloomberg tells us development of these new tools isn’t yet complete and warns they may be delayed, though that only makes it possible they will arrive later in the iOS 27 beta testing process. We know the company is working on additional tools.
We also know Apple will improve Siri and expand other Apple Intelligence features. To accomplish this, its engineers are working with Google Gemini to build dedicated large language models (LLMs) capable of running on the devices themselves, or via its own Private Cloud Compute. The company also intends to roll out a dedicated Siri app with a chat interface similar to that used by all the other genAI services, such as ChatGPT.
The idea that Apple will turn Siri into an app implies plans to permit users to download alternative LLM-based apps to use. Apple likely recognizes it might need to provide that level of choice to avoid giving regulators yet another stick to slap it with.
Big plans for AI services
Apple’s actions in AI show that its management believes AI services are likely to become commodities, which means they will continue to be highly reliant on the platforms where they run, which is good news for Apple’s hardware. Apple’s move to secure its processor development road map with more advanced 1.4nm and smaller chips over the coming years will only build up the company’s advantage. As Apple Senior Vice President Johny Srouji put it, the recently introduced M5 chip “ushers in the next big leap in AI performance for Apple silicon.” He means it — and when it comes to hardware, Apple knows to expect imitators.
The approach also suggests the company will offer AI services via an App Store for AI. You might purchase or subscribe to AI agents for specific tasks via a customer-focused App Store, for example. Offering these commodities via a dedicated online portal makes sense, while the company’s famed curation model means customers will be able to use those agents in relative confidence that their data isn’t being swiped in the process.
If I’m right, then the face of Apple’s so-called “AI failure” looks liked a combined hardware/software/services model in which customers have complete choice in which breeds of AI services they want to use, boosted by an App Store for useful AI services, Apple’s own Apple Intelligence tools supported by Google Gemini, all running happily on best-in-the-industry hardware with enough horsepower to handle most tasks natively.
Now, I may be an Appleholic, but I find it pretty difficult to see that connected AI ecosystem as much of a failure at all. I predict at WWDC 2026 we’re going to see the story change from one of losing the AI race to another fable of iconic AI recovery. That’s assuming, of course, the company manages to meet its own promises this time.
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Source:: Computer World
By Ana-Maria Stanciuc Beijing’s commerce ministry has formally submitted a 30-page document warning the European Commission that its draft Cybersecurity Act, which would make vendor removal mandatory for the first time, could trigger reciprocal measures against European companies in China. China has formally threatened the European Union with retaliation if a sweeping new cybersecurity law leads to the […] This story continues at The Next Web
Source:: The Next Web
EU member states and the European Parliament failed to agree on changes that would have softened the bloc’s AI Act and pushed back its toughest enforcement deadlines.
The talks ran for about 12 hours on Tuesday and ended without an agreement, Reuters reported, citing a Cypriot official who said it had not been possible to reach a deal with Parliament. Cyprus holds the rotating presidency of the EU Council, which negotiates on behalf of member states. According to the report, the talks broke down over the insistence by some member states and lawmakers that industries already covered by sectoral safety rules be left out of the AI legislation.
Tuesday’s session was the last political trilogue on the Digital Omnibus on AI scheduled before formal adoption, according to the European Parliament’s legislative tracker. Talks will resume in May, and if no deal is reached before August 2, the AI Act’s high-risk obligations will apply that day as originally drafted.
The European Parliament’s co-rapporteurs on the file, Arba Kokalari and Michael McNamara, were scheduled to brief journalists in Strasbourg on Wednesday on the negotiations to update EU rules, but the briefing was cancelled at the last moment.
Neither of the rapporteurs’ offices immediately responded to a request for comment. The Cypriot presidency press service also did not respond by the deadline.
Why were the deadlines to be pushed back
The Digital Omnibus on AI, which the trilogue was meant to finalise, was proposed by the European Commission on November 19 last year. The Commission framed it as part of a wider effort to simplify the EU’s digital rulebook for businesses, in response to the Draghi report on EU competitiveness.
Both the Council and the Parliament had agreed before trilogue that the deadlines should be pushed back. The Council, in its March 13 negotiating mandate, proposed new dates of “2 December 2027 for stand-alone high-risk AI systems, and 2 August 2028 for high-risk AI systems embedded in products.” Parliament voted to adopt the same dates on Mar. 26 by 569 votes to 45, with 23 abstentions.
The deadlines were pushed back because the technical standards that companies need to demonstrate compliance with are not ready. Communications from CEN-CENELEC’s Joint Technical Committee 21, which is drafting the standards, suggest the full set may not be available before December 2026, according to a client note from law firm Morrison Foerster.
What Council and Parliament could not agree on was an exemption Parliament wanted for AI used in products that already fall under EU safety rules, such as machinery, toys, and medical devices, the report added.
The exemption “faced limited enthusiasm in the Council, with different compromise proposals being discussed,” the Center for Democracy and Technology Europe said in its April bulletin.
Consumer, medical, and academic groups have opposed the exemption. Forty such organisations warned in an open letter earlier this month that the proposals “still risk reopening core elements of this framework, crucially weakening the AI Act.”
For affected industries, the case for the exemption is the cumulative compliance burden, said Neil Shah, vice president for research and partner at Counterpoint Research. “In already highly regulated industries such as medical, an additional AI regulation further increases compliance and headaches for the enterprises,” he said. “Complying with both physical and digital safety is important, but there has to be a way to reduce the compliance burden and be answerable to a single regulatory authority.”
What happens next
CIOs should treat August 2 as a hard deadline regardless of what happens in May, Shah said. “I believe CIOs are in a tough spot right now. They should be prepared, irrespective of the regulatory limbo, and treat this summer as a hard deadline. If it gets delayed, then it’s a bonus and if not, then it would be a regulatory risk.”
If lawmakers fail to land a deal before August 2, the high-risk obligations apply as drafted, regardless of whether harmonised standards or national enforcement authorities are ready. Patchy readiness across member states does not reduce the risk for businesses, said Enza Iannopollo, vice president and principal analyst at Forrester.
“It’s obvious that if the authorities responsible for enforcing the rules are not in place, there won’t be enforcement, despite the deadlines,” she said. “But Member States can accelerate that process and put those authorities in place rather quickly. Some countries have already named them. The risk is that businesses lose track of developments across each Member State and find themselves exposed to regulatory scrutiny and fines.”
Other parts of the AI Act will keep moving on their original schedule. The prohibitions on unacceptable-risk AI have applied since February 2025. The general-purpose AI rules came into force in August 2025. The transparency obligations under Article 50, including disclosure for chatbot interactions and labelling of deepfakes, are set to apply from August 2.
For CIOs, Iannopollo said, the underlying compliance work continues regardless of trilogue politics. “Waiting is not an option. CIOs must start building the foundations of AI governance and compliance,” she said. “If they are not inventorying their AI use cases, assessing risks in light (also) of the EU AI Act’s risk categorisation, and defining risk management measures, they risk not only fines. They risk reputational damage and the inability to effectively scale their AI initiatives.”
The Cypriot presidency runs until June 30, after which Ireland takes over.
Source:: Computer World
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By Allison Steffens Herrera South Africa’s Department of Communications and Digital Technologies spent months drafting a national artificial intelligence policy. It proposed a National AI Commission, an AI Ethics Board, an AI Regulatory Authority, an AI Ombudsperson, a National AI Safety Institute, and an AI Insurance Superfund. It outlined five pillars of AI governance: skills capacity, responsible governance, ethical […] This story continues at The Next Web
Source:: The Next Web
By Alina Maria Stan OpenAI called the report “prime clickbait.” It said its business is “firing on all cylinders.” It issued a joint statement from CEO Sam Altman and CFO Sarah Friar declaring they are “totally aligned.” None of it worked. On Tuesday, after the Wall Street Journal reported that OpenAI had missed internal revenue and user growth targets, […] This story continues at The Next Web
Source:: The Next Web
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