# Google İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Google" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

Android Flaw Leaves 30 Million Crypto Wallets Open To Attack: Microsoft Analysts

Microsoft analysts revealed a critical security flaw in the EngageLab SDK (v4.5.4), leaving over 30 million Android crypto wallets vulnerable to attack. The "intent redirection" vulnerability allowed a malicious app to bypass Android's sandbox and gain read/write access to a wallet's private data, including seed phrases and keys, without any user interaction. A patch (SDK 5.2.1) was released in mid-2025. Users who haven't updated their apps since then are advised to not only update but also move their funds to new wallets with fresh seed phrases, as any unpatched wallet is considered compromised. The flaw also affected over 50 million apps in total.

bitcoinist04/11 15:31

Android Flaw Leaves 30 Million Crypto Wallets Open To Attack: Microsoft Analysts

bitcoinist04/11 15:31

Bernstein Analysts Allay Bitcoin Fears, Why Quantum Is Not As Big A Threat As You Think

Bernstein analysts address rising concerns about quantum computing's threat to Bitcoin, arguing it is a manageable long-term upgrade rather than an existential risk. While Google researchers recently found that breaking Bitcoin's elliptic curve cryptography may require as few as 500,000 qubits—far fewer than previous estimates—Bernstein emphasizes the industry has a three- to five-year window to adapt. They note the vulnerability primarily affects older wallets with exposed or reused public keys, not Bitcoin's SHA-256 mining process. The report aligns with Google's own 2029 migration timeline, suggesting sufficient time to transition to quantum-resistant cryptography.

bitcoinist04/11 03:03

Bernstein Analysts Allay Bitcoin Fears, Why Quantum Is Not As Big A Threat As You Think

bitcoinist04/11 03:03

Tens of Millions of Errors Per Hour: Investigation Reveals the 'Accuracy Illusion' of Google AI Search

A New York Times investigation, in collaboration with AI startup Oumi, reveals significant accuracy and reliability issues with Google's AI Overviews search feature. Testing over 4,300 queries showed the accuracy rate improved from 85% (Gemini 2) to 91% (Gemini 3). However, given Google's scale of ~5 trillion annual searches, this 9% error rate translates to over 57 million incorrect answers generated hourly. A more critical issue is the prevalence of unsubstantiated citations. For correct answers, the rate of "unfounded citations"—where provided source links do not support the AI's claims—worsened, rising from 37% with Gemini 2 to 56% with Gemini 3. This makes it difficult for users to verify the information. The AI also heavily relies on low-quality sources, with Facebook and Reddit being its second and fourth most cited domains. Furthermore, the system is highly susceptible to manipulation. A BBC journalist successfully "poisoned" it by publishing a fake article; Google's AI began presenting the false information as fact within 24 hours. Google disputed the study's methodology, criticizing the use of the SimpleQA benchmark and an AI model (Oumi's HallOumi) to evaluate its own AI. The company maintains that its internal safeguards and ranking systems improve accuracy beyond the base model's performance.

marsbit04/10 12:30

Tens of Millions of Errors Per Hour: Investigation Reveals the 'Accuracy Illusion' of Google AI Search

marsbit04/10 12:30

Pichai's 10-Year Tenure as Google CEO: Lows, Reversals, and Regrets

In a wide-ranging interview marking his 10-year anniversary as Google CEO, Sundar Pichai reflects on the company's journey in AI, from being an early innovator with the Transformer architecture to its current leadership position. Pichai addresses the "missed opportunity" narrative, explaining that internal versions of models like LaMDA (a precursor to ChatGPT) existed but were not released due to higher safety thresholds and early "toxicity" issues. He emphasizes that its research was always product-driven, and attributes OpenAI's success to a fortunate combination of factors, including identifying the coding use case early. Looking forward, Pichai asserts that search will not die but will evolve into an "agent manager," where users command AI to complete tasks. He reveals Google's massive capital expenditure, projected to reach $175-185 billion in 2026, is a testament to its belief in the AGI curve. However, he warns of a major supply crunch in 2026, citing critical bottlenecks in wafer capacity, memory, and even a shortage of electricians as fundamental constraints. Pichai also discusses Google's "hidden gems," including early-stage projects like space-based data centers, quantum computing (which he believes will excel at simulating nature), and robotics. He shares a regret: not investing more aggressively in Waymo earlier. Internally, Pichai reveals he personally spends at least an hour each week allocating scarce computing resources (TPU time), which has become the company's most critical allocation decision. He predicts that by 2027, business forecasting at Google will be fully automated by AI agents, marking a major shift in how work is done.

marsbit04/10 00:36

Pichai's 10-Year Tenure as Google CEO: Lows, Reversals, and Regrets

marsbit04/10 00:36

Anthropic's Revenue Surpasses $30 Billion, Signs 3.5 Gigawatt Computing Power Agreement with Google and Broadcom

Anthropic announced its annualized revenue has surpassed $30 billion, a more than threefold increase from $9 billion at the end of 2025. The number of enterprise customers spending over $1 million annually doubled to 1,000 in less than two months. Growth is largely driven by Claude Code, launched in May 2025, which reached over $2.5 billion in annualized revenue by February 2026. In a related move, Broadcom disclosed in an SEC filing that Anthropic will secure approximately 3.5 gigawatts of next-generation TPU compute power starting in 2027, marking its largest single compute commitment to date. This is part of an expanded partnership involving Google and Broadcom, which will design and supply the new TPUs. Unlike OpenAI’s capital-intensive Stargate project, which involves building owned-and-operated data centers, Anthropic adopts a capital-light strategy—relying on long-term compute agreements with cloud providers (AWS, Google Cloud, and Microsoft Azure) without owning physical infrastructure. This multi-cloud, multi-chip approach offers flexibility but may entail higher long-term costs. Anthropic expects a $14 billion loss in 2026 despite ~40% gross margins.

marsbit04/07 07:29

Anthropic's Revenue Surpasses $30 Billion, Signs 3.5 Gigawatt Computing Power Agreement with Google and Broadcom

marsbit04/07 07:29

Google’s Documentation Talks About XRP And You Won’t Believe What It Says

Google's recent quantum computing research report discusses the XRP Ledger (XRPL) and its efforts to protect against quantum threats. The report highlights that XRPL is among the networks conducting experimental deployments of post-quantum cryptography, specifically noting its testnet deployment of ML-DSA signatures. It also recognizes XRPL's significant role in Real World Asset (RWA) tokenization, where it currently ranks 8th with $1.9 billion in tokenized value. However, Google points out that the account model and smart contracts used by networks like XRPL introduce new quantum vulnerabilities not present in Bitcoin. While XRPL, alongside Algorand and TRON, has an advantage with native key rotation, the transition to quantum-resistant systems is complex and will take years. Despite challenges, networks including XRPL are making notable progress in adopting post-quantum cryptography.

bitcoinist04/03 21:32

Google’s Documentation Talks About XRP And You Won’t Believe What It Says

bitcoinist04/03 21:32

Bitcoin Is At Major Risk From This Single Factor And It’s Not As Far Away As You Think; Google

Google's Quantum AI team has issued a warning that Bitcoin and other cryptocurrencies are more vulnerable to quantum computing attacks than previously thought. The security of these digital assets relies on elliptic curve cryptography (ECD-256), which was believed to require a quantum computer with millions of qubits to break. However, Google's optimized implementation of Shor’s algorithm suggests that only about 1,200–1,450 logical qubits and fewer than 500,000 physical qubits would be needed to compromise the system in minutes. While the threat is not immediate, Google emphasizes that the risk is closer than many assume and recommends transitioning to post-quantum cryptography (PQC). The company is collaborating with entities like Coinbase, the Stanford Institute for Blockchain Research, and the Ethereum Foundation, targeting a 2029 migration timeline. However, upgrading decentralized networks like Bitcoin will require broad consensus and complex protocol changes, posing significant implementation challenges. The crypto industry is urged to begin preparations to mitigate this emerging quantum risk.

bitcoinist04/03 01:01

Bitcoin Is At Major Risk From This Single Factor And It’s Not As Far Away As You Think; Google

bitcoinist04/03 01:01

Google's Open-Source Large Model Gemma 4 Imminent Announcement: Parameter Count Quadrupled

Google is set to announce Gemma 4, its next-generation open-source large language model, marking a significant upgrade from the previous Gemma 3 released a year ago. The new model is expected to feature a 120B parameter version—four times larger than its predecessor—while utilizing a Mixture-of-Experts (MoE) architecture to keep activated parameters at just 15B, enabling local operation on consumer-grade hardware. Gemma 4 is also anticipated to deliver improved context length, reasoning, and complex task performance. The move is seen as part of Google’s strategy to compete in the open-source arena, which has been increasingly influenced by Chinese tech firms. By releasing Gemma 4 months after its flagship closed-source model Gemini 3.0, Google aims to balance commercial interests with developer engagement. The model emphasizes local and offline usability, positioning it as a direct competitor to domestic open-source alternatives. Industry observers note that Gemma 4 raises the bar for open-source models, combining scale and efficiency. Although Google’s primary focus remains on closed-source systems, its technical strength could make Gemma 4 a strong contender in the global open-source ecosystem.

marsbit04/02 06:45

Google's Open-Source Large Model Gemma 4 Imminent Announcement: Parameter Count Quadrupled

marsbit04/02 06:45

Google AI whitepaper: ‘Algorand is the perfect example of post-quantum computing’ – ALGO jumps 24%

Google AI's recent whitepaper on quantum computing vulnerabilities has triggered a significant 24% price surge for Algorand (ALGO), with its daily volume increasing nearly fivefold. The paper, a collaboration between Google Quantum AI, UC Berkeley, and the Ethereum Foundation, highlighted Algorand as a prime example of a blockchain proactively implementing post-quantum cryptography (PQC). It specifically commended Algorand's use of Falcon digital signatures for smart contracts and state proofs, positioning the network well for a future migration to a post-quantum standard. This news catalyzed a strong bullish move, allowing ALGO to break out of its prolonged trading range between $0.08 and $0.10. The rally saw bulls reclaim the $0.082 support level and push toward the range highs. While the surge has cleared a cluster of short liquidations, it now faces a key resistance zone around $0.10-$0.11. Analysts suggest that holding above $0.095 could signal a bullish continuation, while a drop below would indicate a return to the previous range-bound trading.

ambcrypto04/01 13:07

Google AI whitepaper: ‘Algorand is the perfect example of post-quantum computing’ – ALGO jumps 24%

ambcrypto04/01 13:07

Bitcoin Bombshell: Google’s 2029 Quantum Warning Sparks New Fear

Google's updated quantum threat model, moving its post-quantum cryptography migration deadline to 2029, has significant implications for Bitcoin and cryptocurrencies. A new whitepaper from Google Quantum AI, alongside researchers including Justin Drake and Dan Boneh, suggests breaking the secp256k1 elliptic curve cryptography (used in Bitcoin) may require far fewer quantum resources than previously believed. The paper estimates Shor’s algorithm could break ECDSA keys in minutes using under 500,000 physical qubits. This has shifted the narrative, with experts now urging immediate transition plans. The paper highlights the risk of "on-spend" attacks against live transactions due to Bitcoin's 10-minute block time, while downplaying quantum risks to proof-of-work mining. Google chose to validate its findings via a zero-knowledge proof instead of full circuit disclosure, citing responsible disclosure concerns. The broader call is for vulnerable cryptocurrency communities to begin migrating to post-quantum cryptography without delay.

bitcoinist03/31 18:31

Bitcoin Bombshell: Google’s 2029 Quantum Warning Sparks New Fear

bitcoinist03/31 18:31

活动图片

Industry News

Others