Google has built an AI model that can find security vulnerabilities in massive codebases, write working exploits to prove they are real, and generate patches to fix them — all autonomously, all within hours. And it has decided that only governments should be allowed to use it.&nbsp;What Gemini 3.5 Flash Cyber Does&nbsp;Released on July 21 alongside two general-purpose models, Gemini 3.5 Flash Cyber is not a chatbot. It is a specialised system built on top of Google's 3.5 Flash architecture, fine-tuned specifically for cybersecurity work: scanning code for vulnerabilities, validating those vulnerabilities by generating actual exploits in sandbox environments, and producing patches.&nbsp;The model powers CodeMender, Google's AI security agent, which invokes Flash Cyber multiple times across a codebase to analyse different code paths simultaneously and produce consolidated vulnerability reports. In Google's own testing, the system found remote code execution flaws in public APIs and discovered a memory-corruption vulnerability in a sensitive production service — all within approximately two hours.&nbsp;The performance numbers are notable. On Google's internal Chrome vulnerability pipeline, Flash Cyber found 55 unique security issues compared to 47 from the standard 3.5 Flash model and 36 from Anthropic's Claude Opus. On the Big Sleep security evaluation, it significantly outperformed both its parent model and the larger 3.6 Flash.&nbsp;The Exploit Generation Problem&nbsp;What makes Flash Cyber different from existing code-scanning tools is the exploit step. The model does not merely flag potential vulnerabilities — it builds working proof-of-concept exploits to verify they are real. In one documented case, the system generated a fully reliable remote code execution exploit that bypassed standard mitigation techniques.&nbsp;This is the capability that forced Google's hand on access restrictions. A model that finds vulnerabilities is a defensive tool. A model that writes working exploits is, by definition, dual-use — and Google has acknowledged that explicitly.&nbsp;Why Only Governments&nbsp;Google DeepMind is restricting Flash Cyber to governments and trusted partners through a limited-access pilot programme. The stated rationale is to give frontline defenders — national cybersecurity agencies, military networks, critical infrastructure operators — the ability to find and patch vulnerabilities before they are exploited, while keeping the exploit-generation capability out of broader circulation.&nbsp;The restriction makes Flash Cyber the first frontier AI model to be built for offensive security applications and simultaneously locked behind a government access gate. It sits in a category that did not exist a year ago: AI that is too dangerous for the private sector but too useful to withhold from the state.&nbsp;The Three-Model Release&nbsp;Flash Cyber was part of a broader July 21 launch that included Gemini 3.6 Flash, a general-purpose model priced at $1.50 per million input tokens, and Gemini 3.5 Flash-Lite, a lightweight variant for high-volume applications. Google also teased Gemini 4 but provided no timeline.&nbsp;Notably absent from the release was Gemini 3.5 Pro, the large reasoning model the AI community has been waiting for since Google previewed its capabilities earlier this year. Google has not explained the delay, and each new Flash release without an accompanying Pro launch intensifies speculation about what is holding it back.&nbsp;Google already uses Flash Cyber internally across Chrome, Android, Cloud, Ads, and YouTube security teams. The model's transition from internal tool to government product marks a new phase in how AI companies think about their most sensitive capabilities — not as products to sell broadly, but as strategic assets to share selectively with the state.

Google DeepMind released Gemini 3.5 Flash Cyber, an AI that autonomously finds vulnerabilities, writes working exploits, and generates patches. Access is restricted to governments and trusted partners — the first frontier AI model locked behind a government gate.

Google has built an AI model that can find security vulnerabilities in massive codebases, write working exploits to prove they are real, and generate patches to fix them — all autonomously, all within hours. And it has decided that only governments should be allowed to use it. What Gemini 3.5 Flash Cyber Does Released on July 21 alongside two general-purpose models, Gemini 3.5 Flash Cyber is not a chatbot. It is a specialised system built on top of Google's 3.5 Flash architecture, fine-tuned specifically for cybersecurity work: scanning code for vulnerabilities, validating those vulnerabilities by generating actual exploits in sandbox environments, and producing patches. The model powers CodeMender, Google's AI security agent, which invokes Flash Cyber multiple times across a codebase to analyse different code paths simultaneously and produce consolidated vulnerability reports. In Google's own testing, the system found remote code execution flaws in public APIs and discovered a memory-corruption vulnerability in a sensitive production service — all within approximately two hours. The performance numbers are notable. On Google's internal Chrome vulnerability pipeline, Flash Cyber found 55 unique security issues compared to 47 from the standard 3.5 Flash model and 36 from Anthropic's Claude Opus. On the Big Sleep security evaluation, it significantly outperformed both its parent model and the larger 3.6 Flash. The Exploit Generation Problem What makes Flash Cyber different from existing code-scanning tools is the exploit step. The model does not merely flag potential vulnerabilities — it builds working proof-of-concept exploits to verify they are real. In one documented case, the system generated a fully reliable remote code execution exploit that bypassed standard mitigation techniques. This is the capability that forced Google's hand on access restrictions. A model that finds vulnerabilities is a defensive tool. A model that writes working exploits is, by definition, dual-use — and Google has acknowledged that explicitly. Why Only Governments Google DeepMind is restricting Flash Cyber to governments and trusted partners through a limited-access pilot programme. The stated rationale is to give frontline defenders — national cybersecurity agencies, military networks, critical infrastructure operators — the ability to find and patch vulnerabilities before they are exploited, while keeping the exploit-generation capability out of broader circulation. The restriction makes Flash Cyber the first frontier AI model to be built for offensive security applications and simultaneously locked behind a government access gate. It sits in a category that did not exist a year ago: AI that is too dangerous for the private sector but too useful to withhold from the state. The Three-Model Release Flash Cyber was part of a broader July 21 launch that included Gemini 3.6 Flash, a general-purpose model priced at $1.50 per million input tokens, and Gemini 3.5 Flash-Lite, a lightweight variant for high-volume applications. Google also teased Gemini 4 but provided no timeline. Notably absent from the release was Gemini 3.5 Pro, the large reasoning model the AI community has been waiting for since Google previewed its capabilities earlier this year. Google has not explained the delay, and each new Flash release without an accompanying Pro launch intensifies speculation about what is holding it back. Google already uses Flash Cyber internally across Chrome, Android, Cloud, Ads, and YouTube security teams. The model's transition from internal tool to government product marks a new phase in how AI companies think about their most sensitive capabilities — not as products to sell broadly, but as strategic assets to share selectively with the state.

Google DeepMind released Gemini 3.5 Flash Cyber on July 21, a specialised AI model that autonomously discovers security vulnerabilities, generates working exploits to verify them, and writes patches — all within hours. Access is restricted exclusively to governments and trusted partners, making it the first frontier AI model built for offence and locked behind a government gate.

Google built a cyber-warfare AI that only governments can use

Alphabet just delivered one of the strongest quarters in the history of corporate America, $119.8 billion in revenue, $40.8 billion in operating income, a cloud business growing 82 per cent. Wall Street's response was to sell the stock.&nbsp;The Numbers That Beat&nbsp;Alphabet's Q2 2026 results exceeded analyst expectations across almost every line. Total revenue hit $119.8 billion, up 24 per cent year-over-year and roughly $3 billion above consensus estimates. Google Search revenue rose 17 per cent to $63.3 billion. YouTube advertising brought in $11.1 billion, up 13 per cent. Operating income climbed 30 per cent to $40.8 billion.&nbsp;But the headline number was Google Cloud: $24.8 billion in revenue, an 82 per cent surge from the $10.35 billion it reported in Q2 2025. That growth rate, sustained at massive scale, confirmed that Google's AI infrastructure bet is generating real enterprise demand — not just research citations.&nbsp;The Number That Didn't&nbsp;Then came the capital expenditure disclosure. Alphabet spent $44.9 billion on infrastructure in Q2 alone — more than double the $21.7 billion it spent in the same quarter last year. For context, that single quarter's spending exceeds the entire annual capex of most Fortune 500 companies.&nbsp;More importantly, Alphabet raised its full-year 2026 capex guidance to $195–205 billion, up from the $180–190 billion range it had forecast just three months earlier. And the company signalled that 2027 spending would increase significantly beyond even those levels.&nbsp;The result was predictable: free cash flow turned deeply negative, hitting minus $5.9 billion compared to positive $10.4 billion in Q2 2025. Alphabet is now spending money faster than the most profitable advertising business in history can generate it.&nbsp;The Market's Verdict&nbsp;The stock fell sharply in after-hours trading. The message from investors was blunt: a 24 per cent revenue beat matters less than a capex figure that keeps accelerating with no ceiling in sight.&nbsp;This is the paradox at the centre of the AI investment cycle. Google Cloud's 82 per cent growth proves the demand is real. The $205 billion capex guidance proves the cost of meeting that demand is growing faster than the revenue it produces. Investors are being asked to accept negative free cash flow from a company that generated $10 billion in free cash just a year ago — on the promise that AI infrastructure spending will eventually decelerate while AI revenue does not.&nbsp;What Pichai Said&nbsp;CEO Sundar Pichai was unequivocal about the trajectory. ‘We are in very early innings of what feels like a secular shift,’ he told analysts. ‘If anything, over the past year, we have gotten more bullish.’ He described AI models as ‘increasingly becoming end-to-end orchestrated systems’ and positioned Google's ability to combine compute, data quality, and confidentiality as the core enterprise selling point.&nbsp;The language left no room for spending moderation. Pichai is not a CEO preparing Wall Street for capex discipline — he is a CEO telling Wall Street that the spending is going up further and they should be grateful for it.&nbsp;The Bigger Picture&nbsp;Alphabet's Q2 results illustrate the central tension of the AI era: the companies best positioned to profit from artificial intelligence are also the ones spending the most aggressively to build it, and the spending is outpacing the revenue even when the revenue is growing at extraordinary rates. Google Cloud at $24.8 billion and 82 per cent growth is a triumph by any historical standard. Negative $5.9 billion in free cash flow is a warning by any standard at all.&nbsp;The question is no longer whether AI generates revenue. It does. The question is whether the infrastructure required to generate that revenue will ever cost less than the revenue itself. Alphabet's Q2 suggests that moment is not close.

Alphabet reported Q2 2026 revenue of $119.8 billion with Google Cloud surging 82% to $24.8 billion. But the stock fell after capex guidance was raised to $195-205 billion, producing negative $5.9 billion in free cash flow.

Alphabet just delivered one of the strongest quarters in the history of corporate America, $119.8 billion in revenue, $40.8 billion in operating income, a cloud business growing 82 per cent. Wall Street's response was to sell the stock. The Numbers That Beat Alphabet's Q2 2026 results exceeded analyst expectations across almost every line. Total revenue hit $119.8 billion, up 24 per cent year-over-year and roughly $3 billion above consensus estimates. Google Search revenue rose 17 per cent to $63.3 billion. YouTube advertising brought in $11.1 billion, up 13 per cent. Operating income climbed 30 per cent to $40.8 billion. But the headline number was Google Cloud: $24.8 billion in revenue, an 82 per cent surge from the $10.35 billion it reported in Q2 2025. That growth rate, sustained at massive scale, confirmed that Google's AI infrastructure bet is generating real enterprise demand — not just research citations. The Number That Didn't Then came the capital expenditure disclosure. Alphabet spent $44.9 billion on infrastructure in Q2 alone — more than double the $21.7 billion it spent in the same quarter last year. For context, that single quarter's spending exceeds the entire annual capex of most Fortune 500 companies. More importantly, Alphabet raised its full-year 2026 capex guidance to $195–205 billion, up from the $180–190 billion range it had forecast just three months earlier. And the company signalled that 2027 spending would increase significantly beyond even those levels. The result was predictable: free cash flow turned deeply negative, hitting minus $5.9 billion compared to positive $10.4 billion in Q2 2025. Alphabet is now spending money faster than the most profitable advertising business in history can generate it. The Market's Verdict The stock fell sharply in after-hours trading. The message from investors was blunt: a 24 per cent revenue beat matters less than a capex figure that keeps accelerating with no ceiling in sight. This is the paradox at the centre of the AI investment cycle. Google Cloud's 82 per cent growth proves the demand is real. The $205 billion capex guidance proves the cost of meeting that demand is growing faster than the revenue it produces. Investors are being asked to accept negative free cash flow from a company that generated $10 billion in free cash just a year ago — on the promise that AI infrastructure spending will eventually decelerate while AI revenue does not. What Pichai Said CEO Sundar Pichai was unequivocal about the trajectory. ‘We are in very early innings of what feels like a secular shift,’ he told analysts. ‘If anything, over the past year, we have gotten more bullish.’ He described AI models as ‘increasingly becoming end-to-end orchestrated systems’ and positioned Google's ability to combine compute, data quality, and confidentiality as the core enterprise selling point. The language left no room for spending moderation. Pichai is not a CEO preparing Wall Street for capex discipline — he is a CEO telling Wall Street that the spending is going up further and they should be grateful for it. The Bigger Picture Alphabet's Q2 results illustrate the central tension of the AI era: the companies best positioned to profit from artificial intelligence are also the ones spending the most aggressively to build it, and the spending is outpacing the revenue even when the revenue is growing at extraordinary rates. Google Cloud at $24.8 billion and 82 per cent growth is a triumph by any historical standard. Negative $5.9 billion in free cash flow is a warning by any standard at all. The question is no longer whether AI generates revenue. It does. The question is whether the infrastructure required to generate that revenue will ever cost less than the revenue itself. Alphabet's Q2 suggests that moment is not close.

Alphabet reported Q2 2026 revenue of $119.8 billion, beating estimates by $3 billion, with Google Cloud surging 82 per cent to $24.8 billion. But the stock fell sharply after the company raised its full-year capital expenditure guidance to $195–205 billion — producing negative free cash flow of $5.9 billion in the quarter.

Google made $120 billion in a quarter and Wall Street still punished it! Here's why

The European Union has struck the biggest regulatory blow yet at the way artificial intelligence reaches ordinary people. In binding decisions issued on July 16 under the Digital Markets Act, the European Commission ordered Google to open the Android operating system to rival AI assistants — and to hand over anonymised search data to competitors.&nbsp;What Brussels Ordered&nbsp;The first decision targets the assistant itself. Google must allow competing AI services to use 11 features of Android, enabling rival assistants to perform tasks such as booking taxis and sending messaging replies through voice commands. Most strikingly, users must be able to summon a third-party AI assistant by voice — the way ‘Hey Google’ works today. The changes are expected to reach users from July 2027.&nbsp;The second decision targets Google's crown jewels: search data. Google must begin sharing anonymised search data with eligible competing search engines and AI chatbots from January 2027. The Commission's reasoning is that access to this data could help rivals — including privacy-focused services — build products that can actually compete with a company that has dominated search for two decades.&nbsp;Why It Matters&nbsp;Android runs on billions of phones worldwide — it is the single largest distribution channel for AI on the planet. Whoever controls the default assistant on those phones controls the front door through which most of humanity will meet artificial intelligence. Until now, that door belonged to Google alone.&nbsp;Brussels has effectively declared the AI assistant a regulated utility layer: on a gatekeeper's platform, rivals must be allowed to compete for the user's voice. It is the first time the EU's gatekeeper rules have been applied so squarely to the AI era's most valuable real estate.&nbsp;Google's Pushback&nbsp;Google reacted sharply. The company argues the decisions could expose users to serious risks, with its chief legal officer Kent Walker saying the rulings ‘risk undermining vital privacy and security guardrails’ for millions of Europeans. The company has consistently argued that deep third-party access to operating system functions widens the attack surface for abuse.&nbsp;The privacy argument cuts both ways, though: critics note that the data Google is being asked to share is anonymised, and that the security framing conveniently defends a monopoly position worth hundreds of billions.&nbsp;A Brutal Stretch For Google&nbsp;The order caps a punishing month for the search giant. Its flagship AI model, Gemini 3.5 Pro, has reportedly missed three internal deadlines over coding performance and remains stuck in limited enterprise preview. Now its most powerful structural advantage — default control of Android — has a regulatory expiry date in Europe. The company remains formidable, valued at roughly $4.2 trillion, but its two moats — distribution and data — are both under direct attack in its second-largest market.&nbsp;Three Worlds Of AI Rules&nbsp;The decision also sharpens a global divergence. In the same ten days, Washington floated a FINRA-style watchdog to vet frontier AI models, Beijing launched WAICO — its own intergovernmental AI governance body with 29 founding countries — and Brussels used competition law to pry open the AI distribution layer. Three power centres, three entirely different theories of how to govern the same technology.&nbsp;For the world's AI developers, Europe's version just became very concrete: from January 2027, Google's search data starts flowing to rivals, and from July 2027, an Android phone in Europe may answer — by voice — to an assistant Google didn't build.

Binding EU decisions issued July 16 order Google to open 11 Android features to rival AI assistants — including 'Hey Google'-style voice activation — and share anonymised search data with competitors from January 2027. What Brussels ordered, and why it reshapes AI on billions of phones.

The European Union has struck the biggest regulatory blow yet at the way artificial intelligence reaches ordinary people. In binding decisions issued on July 16 under the Digital Markets Act, the European Commission ordered Google to open the Android operating system to rival AI assistants — and to hand over anonymised search data to competitors. What Brussels Ordered The first decision targets the assistant itself. Google must allow competing AI services to use 11 features of Android, enabling rival assistants to perform tasks such as booking taxis and sending messaging replies through voice commands. Most strikingly, users must be able to summon a third-party AI assistant by voice — the way ‘Hey Google’ works today. The changes are expected to reach users from July 2027. The second decision targets Google's crown jewels: search data. Google must begin sharing anonymised search data with eligible competing search engines and AI chatbots from January 2027. The Commission's reasoning is that access to this data could help rivals — including privacy-focused services — build products that can actually compete with a company that has dominated search for two decades. Why It Matters Android runs on billions of phones worldwide — it is the single largest distribution channel for AI on the planet. Whoever controls the default assistant on those phones controls the front door through which most of humanity will meet artificial intelligence. Until now, that door belonged to Google alone. Brussels has effectively declared the AI assistant a regulated utility layer: on a gatekeeper's platform, rivals must be allowed to compete for the user's voice. It is the first time the EU's gatekeeper rules have been applied so squarely to the AI era's most valuable real estate. Google's Pushback Google reacted sharply. The company argues the decisions could expose users to serious risks, with its chief legal officer Kent Walker saying the rulings ‘risk undermining vital privacy and security guardrails’ for millions of Europeans. The company has consistently argued that deep third-party access to operating system functions widens the attack surface for abuse. The privacy argument cuts both ways, though: critics note that the data Google is being asked to share is anonymised, and that the security framing conveniently defends a monopoly position worth hundreds of billions. A Brutal Stretch For Google The order caps a punishing month for the search giant. Its flagship AI model, Gemini 3.5 Pro, has reportedly missed three internal deadlines over coding performance and remains stuck in limited enterprise preview. Now its most powerful structural advantage — default control of Android — has a regulatory expiry date in Europe. The company remains formidable, valued at roughly $4.2 trillion, but its two moats — distribution and data — are both under direct attack in its second-largest market. Three Worlds Of AI Rules The decision also sharpens a global divergence. In the same ten days, Washington floated a FINRA-style watchdog to vet frontier AI models, Beijing launched WAICO — its own intergovernmental AI governance body with 29 founding countries — and Brussels used competition law to pry open the AI distribution layer. Three power centres, three entirely different theories of how to govern the same technology. For the world's AI developers, Europe's version just became very concrete: from January 2027, Google's search data starts flowing to rivals, and from July 2027, an Android phone in Europe may answer — by voice — to an assistant Google didn't build.

In binding decisions issued on July 16 under the Digital Markets Act, the European Commission ordered Google to give rival AI assistants access to 11 Android features — including voice activation like ‘Hey Google’ — and to share anonymised search data with competing engines and chatbots. Google is furious. Here is what Brussels ordered, and why it could reshape who controls AI on billions of phones.

EU forces Google to open Android to rival AI assistants and hand over its search data

Google is worth more than $4 trillion, employs many of the most decorated AI researchers alive, and invented the transformer architecture that powers the entire modern AI boom. And in mid-July 2026, its flagship AI model is missing. Gemini 3.5 Pro, promised for June, has now, according to reports, missed its third internal deadline, over a problem Google cannot seem to fix: coding.&nbsp;What Google Promised&nbsp;At its I/O developer conference in mid-May, Google announced the Gemini 3.5 family, shipped the Flash version, and said the flagship Pro model would arrive in June. June came and went without the model and without an explanation. It is now the second half of July, and Gemini 3.5 Pro remains locked in a limited enterprise preview available to a small group of approved customers.&nbsp;Three Deadlines, One Ground-Up Rebuild&nbsp;The first delay, from June into July, was attributed to quality refinement after early enterprise testing, reports cited token efficiency, coding performance and multi-step reasoning as the areas falling short.&nbsp;Then came the harder news. Bloomberg reported that Google was taking extra time to improve the model's capabilities, particularly in coding and that a late-June attempt to fix the problem by retraining on updated data produced disappointing results.&nbsp;The third deadline reportedly fell to something deeper: structural failures. Google is said to have concluded that the original model's problems with recursive tool-calling, the ability to chain software actions reliably, the core of ‘agentic’ AI, could not be fixed by fine-tuning alone, and ordered a ground-up rebuild. While the rebuilt Pro is prepared, the company is eyeing a stopgap release: an upgraded version of the smaller Flash model.&nbsp;Google's official line, in a statement: it is ‘currently testing 3.5 Pro, an upgraded Flash model, and other models with partners.’ The testing pool reportedly includes corporate partners and the US government, alongside testers on Google's Antigravity platform and the LMArena benchmarking site.&nbsp;Why Coding Is The Battlefield&nbsp;Coding is not one benchmark among many in 2026, it is the benchmark. Programming assistance is where AI models generate the most revenue, face the most scrutiny from professional users, and get compared head-to-head on public leaderboards every day.

Promised for June, Google's flagship Gemini 3.5 Pro has reportedly missed three deadlines and needed a ground-up rebuild over agentic coding failures. It remains in limited enterprise preview while a stopgap Flash upgrade is prepared — and rivals keep shipping.

Google is worth more than $4 trillion, employs many of the most decorated AI researchers alive, and invented the transformer architecture that powers the entire modern AI boom. And in mid-July 2026, its flagship AI model is missing. Gemini 3.5 Pro, promised for June, has now, according to reports, missed its third internal deadline, over a problem Google cannot seem to fix: coding. What Google Promised At its I/O developer conference in mid-May, Google announced the Gemini 3.5 family, shipped the Flash version, and said the flagship Pro model would arrive in June. June came and went without the model and without an explanation. It is now the second half of July, and Gemini 3.5 Pro remains locked in a limited enterprise preview available to a small group of approved customers. Three Deadlines, One Ground-Up Rebuild The first delay, from June into July, was attributed to quality refinement after early enterprise testing, reports cited token efficiency, coding performance and multi-step reasoning as the areas falling short. Then came the harder news. Bloomberg reported that Google was taking extra time to improve the model's capabilities, particularly in coding and that a late-June attempt to fix the problem by retraining on updated data produced disappointing results. The third deadline reportedly fell to something deeper: structural failures. Google is said to have concluded that the original model's problems with recursive tool-calling, the ability to chain software actions reliably, the core of ‘agentic’ AI, could not be fixed by fine-tuning alone, and ordered a ground-up rebuild. While the rebuilt Pro is prepared, the company is eyeing a stopgap release: an upgraded version of the smaller Flash model. Google's official line, in a statement: it is ‘currently testing 3.5 Pro, an upgraded Flash model, and other models with partners.’ The testing pool reportedly includes corporate partners and the US government, alongside testers on Google's Antigravity platform and the LMArena benchmarking site. Why Coding Is The Battlefield Coding is not one benchmark among many in 2026, it is the benchmark. Programming assistance is where AI models generate the most revenue, face the most scrutiny from professional users, and get compared head-to-head on public leaderboards every day.

Promised for June at Google I/O, Gemini 3.5 Pro has reportedly missed three internal deadlines, needed a ground-up rebuild over structural failures in agentic coding, and remains locked in a limited enterprise preview — while China's Kimi K3 tops coding leaderboards and rivals keep shipping. Inside the most expensive silence in AI.

Google's $4 trillion embarrassment: Gemini 3.5 Pro misses third deadline over coding failures

Google's next foldable smartphone has appeared in another leak just weeks before its expected launch. The latest images, shared by well-known tipster Mystic Leaks, show the Google Pixel 11 Pro Fold in a new Pine colour. The render offers one of the clearest looks yet at Google's upcoming foldable and suggests that the company is making small but noticeable design changes rather than a complete redesign.The Pixel 11 Pro Fold is widely expected to debut during Google's Made by Google event on August 12, alongside the Pixel 11 smartphone series.<h2>A familiar design with subtle changes</h2>At first glance, the Pixel 11 Pro Fold looks very similar to last year's Pixel 10 Pro Fold. The leaked render shows a dark green Pine finish paired with a light gold frame and Google's signature "G" logo. The satin-finished frame also appears to return, while the standard Pixel 11 Pro models are expected to use glossier sides. The biggest visual difference is the redesigned camera bar. It appears slightly narrower than before, while the camera cut-outs now extend closer to the edge instead of being surrounded by extra metal.<h2>Camera layout could be getting an update</h2>The leak also suggests Google has rearranged some camera components.The main and ultra-wide cameras remain at the bottom of the module, while the autofocus sensor has moved from the top to the lower section. The telephoto camera now sits in the upper-right corner. One detail attracting attention is the larger camera flash, which appears significantly bigger than the previous generation. Some reports suggest this space could house Google's rumoured Pixel Glow notification system, although Google has not confirmed any such feature.<h2>Tensor G6 and AI expected to take centre stage</h2>While the leaked images focus mainly on design, previous reports suggest the Pixel 11 Pro Fold will be powered by Google's Tensor G6 processor. The new chip is expected to improve on-device AI, photography, battery efficiency and multitasking. Google is also likely to introduce new Gemini-powered features across the Pixel 11 lineup, continuing its strategy of using artificial intelligence as a key selling point. Foldable smartphones remain a small but growing segment of the premium smartphone market. Rather than changing the hardware dramatically every year, Google appears to be refining its design while focusing on software, AI and everyday usability.With the official launch now close, it may not be long before the company reveals the complete picture.

A fresh leak has revealed the Google Pixel 11 Pro Fold in a new Pine colour ahead of its expected August 12 launch. The foldable appears to feature a refined camera design, a redesigned camera bar and is expected to run on Google's new Tensor G6 chip with upgraded AI features.


Google's next foldable smartphone has appeared in another leak just weeks before its expected launch. The latest images, shared by well-known tipster Mystic Leaks, show the Google Pixel 11 Pro Fold in a new Pine colour. The render offers one of the clearest looks yet at Google's upcoming foldable and suggests that the company is making small but noticeable design changes rather than a complete redesign. The Pixel 11 Pro Fold is widely expected to debut during Google's Made by Google event on August 12, alongside the Pixel 11 smartphone series. A familiar design with subtle changes At first glance, the Pixel 11 Pro Fold looks very similar to last year's Pixel 10 Pro Fold. The leaked render shows a dark green Pine finish paired with a light gold frame and Google's signature "G" logo. The satin-finished frame also appears to return, while the standard Pixel 11 Pro models are expected to use glossier sides. The biggest visual difference is the redesigned camera bar. It appears slightly narrower than before, while the camera cut-outs now extend closer to the edge instead of being surrounded by extra metal. Camera layout could be getting an update The leak also suggests Google has rearranged some camera components. The main and ultra-wide cameras remain at the bottom of the module, while the autofocus sensor has moved from the top to the lower section. The telephoto camera now sits in the upper-right corner. One detail attracting attention is the larger camera flash, which appears significantly bigger than the previous generation. Some reports suggest this space could house Google's rumoured Pixel Glow notification system, although Google has not confirmed any such feature. Tensor G6 and AI expected to take centre stage While the leaked images focus mainly on design, previous reports suggest the Pixel 11 Pro Fold will be powered by Google's Tensor G6 processor. The new chip is expected to improve on-device AI, photography, battery efficiency and multitasking. Google is also likely to introduce new Gemini-powered features across the Pixel 11 lineup, continuing its strategy of using artificial intelligence as a key selling point. Foldable smartphones remain a small but growing segment of the premium smartphone market. Rather than changing the hardware dramatically every year, Google appears to be refining its design while focusing on software, AI and everyday usability. With the official launch now close, it may not be long before the company reveals the complete picture.

A fresh leak has revealed the Google Pixel 11 Pro Fold in a new Pine colour ahead of its expected August 12 launch. The foldable appears to feature a refined camera design, a redesigned camera bar and is expected to run on Google's new Tensor G6 chip with upgraded AI features.

Google Pixel 11 Pro Fold leak reveals redesigned camera layout and new Pine colour

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Google built a cyber-warfare AI that only governments can use

Google made $120 billion in a quarter and Wall Street still punished it

EU forces Google to open Android to rival AI assistants and hand over its data

Google's Gemini 3.5 Pro Misses Third Deadline Over Coding Failures

Google Pixel 11 Pro Fold appears in new leak with fresh Pine finish