As a longtime Gmail user, I prefer Mimestream’s speed and deep Gmail integration over Apple Mail. It offers several advantages.
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Composta por cerca de 90 mil câmaras Flock, esta é agora a maior rede de vigilância automóvel dos Estados Unidos, que cresceu sem que o país percebesse.
The post Como pequenas caixas pretas se tornaram a maior rede de vigilância automóvel dos Estados Unidos appeared first on Tek Notícias.
A Tapbots revelou o Pastebot 3, uma nova versão do seu gerenciador de área de transferência para o macOS.
A empresa anunciou a nova versão no seu perfil do Mastodon, juntamente com um relato sobre questões pessoais que impactaram o trabalho da empresa recentemente. Ela ainda mencionou que trabalha em novidades para o Ivory e o Phoenix, seus clientes do Mastodon e do Bluesky, respectivamente.
Entre as funções presentes na nova versão, o site oficial do utilitário destaca recursos como o histórico da área de transferência, Pastebins customizados, um menu de colagem rápido para acesso instantâneo das funcionalidades do Pastebot, filtros avançados para aplicar a um determinado conteúdo copiado (antes de colar) e até mesmo a criação de stacks para copiar/colar conteúdos em lote.
Outros recursos (de maneira geral, presentes em versões anteriores) incluem o bloqueio de apps com conteúdos sensíveis (como credenciais ou senhas, impedindo que sejam capturados pelo Pastebot), sincronização com o iCloud, atalhos, uma espécie de “cola” dos seus comandos, bem como acesso à CLI e ao app Atalhos (Shortcuts) da Apple.
O Pastebot 3 ainda está em análise na Mac App Store, mas ele já pode ser baixado no site oficial da Tapbots. Ele possui um teste gratuito de 14 dias e pode ser adquirido tanto com uma licença vitalícia de US$40 (com suporte a um ano de atualizações) quanto com uma assinatura de US$3/mês ou US$25/ano.
Mobile World Live brings you our top three picks of the week as OpenAI’s models hacked an AI start-up during testing, Samsung unveiled its latest AI-powered foldables, and Verizon and AT&T logged record World Cup network traffic.
OpenAI models hack AI start-up
What happened: OpenAI revealed that a combination of its advanced AI models autonomously breached a controlled testing environment and launched a cyberattack on AI start-up Hugging Face.
Why it matters: During an internal benchmark designed to evaluate advanced cyber capabilities, the models exploited vulnerabilities in OpenAI’s research infrastructure to gain internet access before using stolen credentials and zero-day flaws to access Hugging Face’s systems. OpenAI said it had intentionally relaxed cyber safeguards in the sandboxed environment to test the models’ capabilities, stating the models were “hyperfocused” on completing the evaluation task and went to “extreme lengths”, though the company warned such events are likely to “become more commonplace” as models grow more capable.
Jason Goode, VP at IT service AppViewX, argued “this is the wake-up call the industry needed”, as the models “didn’t defeat their guardrails so much as exploit what their environments already permitted”. He said the episode underlined the “why model governance alone was never going to be enough” and how “the control point has to be the agent’s identity and what it’s actually allowed to touch”. Meanwhile Dan Gray, chief systems architect at technology R&D firm ChronoDyne Systems, added the incident should not be viewed as AI “going rogue”, but as a “cross-organisational control-chain failure” in which the models provided the “speed, persistence and adaptive exploitation capability”, while the organisations supplied “the objective, permissions, infrastructure and attack surface”.
Samsung unveils 3 new foldables packed with AI
What happened: Samsung Electronics expanded its foldables portfolio with three new smartphones at its latest Galaxy Unpacked event in London.
Why it matters: The lineup washeadlined by the Galaxy Z Fold8 Ultra, Samsung’s first foldable to carry the Ultra branding. The vendor also refreshed the Galaxy Z Fold8 and Galaxy Z Flip8, placing AI capabilities and slimmer designs at the centre. Alongside the handsets, Samsung unveiled the Galaxy Watch9 and Galaxy Watch Ultra2, while teasing AI-enabled smart glasses developed with Google and Qualcomm. Futuresource Consulting principal analyst Rasika D’Souza noted that despite forecasts smartwatch shipments will top 200 million units in 2026, the market is maturing as growth shifts to wearables including smart glasses and rings, an opportunity targeted by Samsung. She added the event showed Samsung’s strategy “has evolved from simple integration of AI features to now creating AI assistants that can assist meaningfully in daily tasks”. Meanwhile, FDM CCS Insight chief analyst Ben Wood said Samsung is “doubling down on foldables at exactly the moment the category is about to get its biggest credibility boost”, arguing Apple’s rumoured launch of a foldable iPhone later this year “could also be the moment that turns foldables from a niche premium category into a mainstream flagship battleground”.
Verizon, AT&T tally massive data usage during World Cup
What happened: Verizon and AT&T outlined the scale of network infrastructure deployed to support connectivity during the FIFA World Cup, reporting record data traffic and major capacity upgrades across US host venues.
Why it matters: Verizon said its network carried almost 500TB of data across all US host stadiums. The operator boosted stadium capacity by three to five times, installed thousands of under-seat and overhead antennas, and deployed nearly 140 small-cell projects and temporary sites beyond venues. Verizon described the World Cup as an opportunity to “test, refine, and validate our enterprise network capabilities, stressing that many upgrades will remain after the tournament to extend the value of the infrastructure into long-term assets for host cities. Meanwhile, AT&T reported it carried around one petabyte of nationwide traffic during the tournament after preparing its network for two to three times normal demand across 11 US host cities and 146 venues. Verizon’s deployment supported live broadcast production alongside fan connectivity, while AT&T highlighted the role of its FirstNet public safety network in coordinating emergency services.
The post The Friday File: OpenAI; Samsung; World Cup appeared first on Mobile World Live.
Indian IT company HCLTech teamed with AI start-up Sarvam to build a data centre in the eastern state of Odisha, tapping increasing demand for the technology and cloud computing.
The project is expected to cost around INR142.6 billion ($1.5 billion), with financial assistance from the government of Odisha, HCLTech stated.
It pitched the data centre as central to boosting sovereign AI and the local developer ecosystem, employing the full-stack of its capabilities with the technology along with Sarvam’s foundation models to tailor services for private and public sector enterprises.
The company stated the data centre would also help to deliver multi-lingual AI-based services in line with calls from Indian Prime Minister Narendra Modi for the technology to benefit all citizens.
HCLTech is building its relationship with Sarvam AI after acquiring a 10.5% stake in the business for $150 million.
This month, it struck a $1.1 billion deal with an unnamed European company.
HCLTech CEO and MD C Vijayakumar said the data centre in Odisha is an important milestone in its full stack AI play, explaining the state offers “a progressive policy environment backed by excellent infrastructure”.
In November 2025, rival Tata Consultancy Services also announced plans to develop AI data centres in partnership with private equity company TPG and investing around $2 billion.
HCLTech separately outlined a plan to open a technology centre in the city of Bhubaneswar, also in Odisha.
It intends for the site to be operational by 2028, housing around 5,000 employees.
The post HCLTech, Sarvam plot $1.5B Indian AI data centre appeared first on Mobile World Live.
Alphabet CEO Sundar Pichai (pictured) rejected concerns Google is losing ground in the AI race after delays to the Gemini 3.5 Pro model, as the company posted a strong second quarter on booming demand for AI and cloud services.
Speaking on the company’s Q2 earnings call, Pichai acknowledged Google needed to improve in areas including AI coding, but said it remained “very committed and very confident of being at the frontier”.
The chief faced repeated questions over whether Gemini could keep pace with rivals in the AI race after Google delayed the launch of its next advanced model in June. He said Google is “committed to being at the full parade of frontier,” offering models at multiple price points including its more affordable Flash models.
Pichai argued “the frontier is an incredibly dynamic space, and it’s fiercely moving forward”, stressing “there are many attributes on which we are still at the frontier”.
He pointed to Gemini 3.6 Flash, released this week, explaining it improved by more than 10 points on a coding benchmark over its predecessor while using fewer tokens. He also revealed the company has begun training Gemini 4, describing it as its “most ambitious pre-training run yet”.
Once Gemini 4 lands, he added the company plans on “picking up pace and releasing models almost at a monthly cadence”.
Strong demand
In Q2 2026, Alphabet pinpointed Google Cloud, which continued to benefit from enterprise demand for AI infrastructure and services.
Revenue from the unit soared 82% to $24.8 billion and operating income more than tripled to $8.8 billion. Google Services revenue increased 15% to $94.5 billion, driven by a 17% spike in Search, 15% in Google subscriptions, platforms and devices, and a 13% rise in YouTube advertising.
Total revenue rose 24% year-on-year to $119.8 billion, Alphabet’s 12th consecutive quarter of double-digit growth.
Net income surged 298% to $112.1 billion, as it benefitted from a net gain of $98 billion on equity securities. It did not disclose further information, but the company is known to have a sizeable stake in SpaceX and has investment in Anthropic.
“Our AI investments are redefining what’s possible across every part of our business,” Pichai explained, adding ballooning demand for AI infrastructure and enterprise AI solutions helped drive the results.
The search giant also continued ramping AI investment, expecting to spend between $195 billion and $205 billion in capital expenditure this year, up from its previous forecast of $180 billion to $190 billion.
“We have increased our capacity quite significantly over the past three years. The demand still outpaces that investment,” explained Alphabet CFO Anat Ashkenazi, adding that although “we’re still in a supply constraint environment”, the company is “seeing very strong demand, both from external cloud customers as well as across the business”.
Looking ahead, the company added it expects capex to “increase significantly” in 2027 as AI demand swells.
The post Alphabet chief defends Gemini strategy as AI bears fruit appeared first on Mobile World Live.
Rockwell Automation and industrial AI company Augury spotted an opportunity to help industries make sense of the vast pools of data the technology is now generating, teaming on a product focused on delivering usable information to manufacturers.
The US-headquartered automation company explained the partnership with Augury would benefit businesses seeking to employ AI in predictive ways spanning maintenance, reliability and overall industrial performance.
Rockwell Automation’s own research indicates less than half of all data collected is being used in effective ways, despite the growing ability for AI to execute on the insights it provides.
“Manufacturers don’t need more alerts, they need a faster path to action,” Angela Rapko, VP and GM of Visualisation and Asset Management at Rockwell Automation explained.
The set-up uses relevant products from each company to provide the route highlighted by the executive: Rockwell Automation stated it enables manufacturers to go beyond “early issue detection and diagnosis”.
It emphasised the use of an Augury reliability agent and its own maintenance assistant as a key differentiator.
The Augury agent “continuously analyses machine conditions” for potential problems and generates ideas on how to avoid or fix them. Rockwell Automation’s assistant is used to make sense of the recommendations to provide “maintenance workflows, work orders and orchestration of execution activities”.
Rockwell Automation indicated the partnership could be foundational in future agentic AI developments in addition to the companies’ more practical aim of helping industrial players to improve the efficiency of their manufacturing operations.
The companies aim to provide initial access to the set-up from September.
The post Rockwell, Augury target AI insights appeared first on Mobile World Live.
Oracle is expanding its Cloud@Customer on-premises portfolio with a managed database offering that it says will enable enterprises to run databases, applications, and AI agents in their own data centers, helping CIOs modernize mid-sized workloads while meeting data residency, regulatory, and low-latency requirements.
The hybrid cloud offering, Base Database Cloud@Customer, combines existing database and infrastructure services such as the Base Database Service and Data Infrastructure Cloud@Customer X11 platform. It is designed for enterprises that do not need the scale of Exadata Cloud@Customer but still want their infrastructure and AI capabilities on-premises, managed by Oracle, the company said.
The Cloud@Customer X11 platform itself consists of two Oracle X11 compute servers and shared all-flash storage, offering up to 60 usable processor cores and 660 GB of memory per server, 47.2 TB of storage, and 10/25 GbE networking.
Analysts see the new offering filling a gap for enterprises that want the operational and economic benefits of the cloud but cannot send their data to a public cloud because of legal restrictions or technology limitations.
These enterprises, according to Ashish Chaturvedi, executive research leader at HFS Research, are likely to be in regulated industries such as financial services, healthcare, government, and defense that must comply with data residency requirements, or needing low-latency access from remote sites to operational databases.
The offering could also appeal to enterprises modernizing mid-sized workloads at remote locations or within individual business units that could never justify the investment in a full Exadata rack, said Amit Chandak, chief analytics officer at IT consulting firm Kanerika.
In all cases, Chaturvedi said, the appeal of the offering is its managed nature, which takes away the burden of looking after the underlying infrastructure.
Deployment and maintenance becomes easier too, said Michael Leone, principal analyst at Moor Strategy and Insights: “They get automation that mid-size teams rarely have the staff to build. Clustering, patching, standby databases, and backups arrive configured instead of hand-assembled because the offering is managed.”
The economics are equally compelling, Chaturvedi said. The pay-as-you-go pricing model, combined with online compute scaling, helps enterprises avoid overprovisioning and paying license fees for idle cores, which is a “classic waste” of fixed on-premises systems, he said.
Beyond the operational and economic benefits, the architecture of the new offering enables databases, applications, VMs, and AI agents to be collocated on the same platform, removing what Chaturvedi called “the single biggest blocker” to AI adoption in regulated environments: the need to keep private data behind the firewall.
“For a CIO in a regulated sector who wants to deploy AI agents but can’t let regulated data touch an external model API, that’s a real unlock,” Chaturvedi said.
More so because most AI offerings, at least in their present form and state, cannot guarantee sensitive data protection, said Igor Ikonnikov, advisory fellow at Info-Tech Research Group.
Even if Base Database Cloud@Customer turns out more expensive than fully cloud-based options, “It’s still attractive as it eliminates reputational and economic risk caused by possible AI-induced data leakage,” Ikonnikov said.
The offering’s consolidation of databases, applications, and AI agents will also simplify deployment of AI-based workflows, said Forrester principal analyst Noel Yuhanna. “It reduces stack complexity and helps accelerate development cycles, deliver real-time data, and eliminate data movement challenges.”
Despite those advantages, Chandak cautioned that the offering is unlikely to see broad adoption outside Oracle’s existing customer base: “If a company isn’t already on Oracle, the pull is weak. You don’t buy into Oracle’s database just to get this.”
Enterprises seeking similar hybrid cloud capabilities have no shortage of alternatives: AWS, Microsoft, Google Cloud, IBM, Dell Technologies, and HPE all offer combinations of on-premises infrastructure, cloud management, and AI services.
However, those alternatives typically require customers to integrate multiple software and hardware components rather than consume them as a single managed offering.
Oracle’s differentiation, although narrow, is hard to match, Chaturvedi said: “The vertical integration of database, engineered hardware, cloud management, high-availability architecture, and now private AI, all engineered together and delivered as a managed on-prem subscription should be genuinely convenient and attractive.”
The offering is compatible with Oracle AI Database 26ai and Oracle Database 19c in Enterprise Edition and Standard Edition configurations. It also supports Oracle Real Application Clusters, Oracle Data Guard, and Zero Data Loss Recovery Appliance through Oracle-managed cloud automation for high availability and disaster recovery, the company said.
Base Database Cloud@Customer is now generally available, Oracle said. It did not provide pricing.
This article first appeared on CIO.
AMD outlined plans to invest up to $5 billion in Anthropic as part of a wider deal for the AI company to add 2 gigawatts of computing capacity to its platform, with deployment set to begin in the first half of 2027.
The duo stated it had struck the strategic partnership to address the extraordinary pace of AI adoption, which is driving rapid growth in demand for training and inference capacity,
Anthropic said it was scaling up its compute infrastructure to serve strong and growing demand for Claude and acquiring AMD’s latest AI server chips “represents a major expansion of AMD’s position at the centre of the global AI infrastructure buildout”.
Deployment of the first gigawatt of AMD’s Helios platform will begin in the first half of 2027. No timescale was given to complete deployment.
In addition, the pair stated they are launching a multiyear engineering collaboration to accelerate AMD software deployment with Claude and the company will adopt the model across its engineering and product development teams.
Details on the $5 billion commitment from AMD into Anthropic were sparse, but it will be dependent on meeting certain milestones. Anthropic has also secured billions in investment from Google and Amazon.
Lisa Su, CEO and chair at AMD, said the deal will help it establish “Helios as a major platform for the next generation of AI infrastructure”.
Chief compute officer and co-founder of Anthropic Tom Brown added access to compute is “central to keeping Claude at the frontier and meeting demand from our customers”.
The post AMD commits $5B to Anthropic in AI chip deal appeared first on Mobile World Live.
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