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The Verge
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How to find images in Google Photos
- Google Photos makes backing up photos and videos from your phone pretty seamless.
- To find specific items in your Google Photos library, you can use search tricks.
- You can search by person or pet using the search box or the People and pets link.
- If the algorithm doesn't recognize someone, you can help with the identification.
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Insider
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Sergey Brin tells Googlers about 60 hours a week is the 'sweet spot' for productivity, but they might be better at 40
- Google cofounder Sergey Brin suggests 60 hours a week for heightened productivity, particularly for AI-focused staff.
- However, workplace experts caution that extended hours can lead to errors and decreased motivation.
- Brin emphasizes the importance of sustained creativity and avoiding burnout in his memo to Google employees.
- Research shows that longer work hours do not equate to increased productivity and may even diminish efficiency.
- Experts advocate for shorter, concentrated work periods over prolonged hours for optimal performance.
- Brin's push for 60-hour workweeks aligns with Google's intensified focus on AI advancement and competition.
- Some argue that working excessive hours may be more about appearances and dedication rather than actual output.
- Experts stress the importance of 'burstable bandwidth' where employees can increase effort as needed while allowing for adequate rest.
- Continuous long hours can lead to burnout, affecting overall well-being and diminishing creativity.
- Balancing work hours with downtime, exercise, and social activities is essential for sustained productivity and success.
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Metro
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Urgent Google Chrome warning issued with over 3,000,000 users at risk of hacks
- Millions of Google Chrome users have been warned to delete 16 browser extensions that have been hijacked by a 'threat actor' and used for fraud.
- The affected extensions, including screen shot capture, ad blocking, and emoji keyboards, put at least 3,200,000 users at risk.
- The 'threat actor' injected code into legitimate browsers, degrading security and hiding malicious code outside of the extensions.
- Users are advised to delete the affected extensions and be cautious when granting permissions, as the hackers can purchase or hijack popular extensions to gain trust.
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TechCrunch
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Sergey Brin says RTO is key to Google winning the AGI race
- Google co-founder Sergey Brin sent a memo to employees, urging them to return to the office 'at least every weekday' in order to help the company win the AGI race.
- Brin believes Google could build AGI, a superintelligent AI system on par with human intelligence.
- The memo shows the pressure Silicon Valley giants are feeling to compete in AI.
- Brin has returned to Google to help the company catch up in the AI race.
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The Verge
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Google’s co-founder tells AI staff to stop ‘building nanny products’
- Google co-founder Sergey Brin has urged the DeepMind AI division to accelerate efforts to win the AGI race.
- Brin suggested working longer hours, coming into the office every weekday, and prioritizing simple solutions to problems.
- He also highlighted the need to remove filters and punts from Google's AI products.
- The final race to AGI (Artificial General Intelligence) is underway, according to Brin.
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Digitaltrends
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Google quietly fixed USB flaw that left over a billion Android devices exposed
- Google quietly fixed USB flaw that left over a billion Android devices exposed.
- The flaw, reported by Amnesty International, is an out-of-bound write in the USB Video Class (UVC) driver.
- The kernel-level exploit impacts over a billion Android devices, regardless of the brand.
- Cellebrite, a forensic analysis tool, was reportedly used to unlock a phone without consent, raising ethical concerns.
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Dev
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Few-Shot Learning for Gemini on Vertex AI
- Google's advancements in Generative AI, Vertex AI, and the Gemini models have revolutionized machine learning models.
- Few-shot learning enables models to generalize and adapt quickly with minimal data, offering advantages in scenarios with limited datasets.
- It involves using pre-trained models and a few examples to make predictions on new tasks.
- Vertex AI is a fully managed ML platform by Google that simplifies developing, deploying, and scaling ML models and AI applications.
- Key features of Vertex AI include AutoML, integration with open-source frameworks, model training, monitoring, and scalability.
- Setting up Vertex AI involves creating a project, enabling API, and installing the Vertex AI SDK.
- Implementing few-shot learning with Gemini on Vertex AI involves initializing the model, setting up examples, and using prompts to analyze sentiment.
- Vertex AI Studio provides a user-friendly interface for developers and data scientists to interact with models and assess outputs.
- By utilizing Vertex AI SDK and Studio, robust AI models capable of learning from minimal examples can be built effectively.
- Gemini excels in handling diverse inputs like text, images, and videos, making it an ideal choice for few-shot learning tasks.
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Massivelyop
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Tickets for Warframe’s first TennoConcert become available March
- Warframe's annual TennoCon event is expanding and adding a new feature - a separate concert.
- Due to the high demand and limited capacity of TennoCon, the concert will be held at a larger venue.
- The concert will take place at Canada Life Place in London, Ontario, providing more fans with the opportunity to attend.
- Tickets for the TennoConcert will be available for purchase starting March 7th, 2025.
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Androidauthority
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Gemini will now also remember free users’ preferences
- Google is rolling out the "Saved Info" feature to free Gemini users.
- Gemini's "Saved Info" feature allows users to save details about their life, work, and personal preferences.
- The saved information helps Gemini provide more relevant responses and saves time for users.
- For example, users can save a preference to have Gemini respond to them like a certain celebrity.
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TechCrunch
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Researchers uncover unknown Android flaws used to hack into a student’s phone
- Google fixed previously unknown flaws in Android that allowed authorities to unlock phones using forensic tools.
- Researchers from Amnesty International found a chain of three zero-day vulnerabilities in the core Linux USB kernel.
- The vulnerabilities, developed by Cellebrite, impacted over a billion Android devices.
- Amnesty International and Google's anti-hacking unit, Threat Analysis Group, collaborated to fix the vulnerabilities after investigating a student protester's hacked phone.
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TechCrunch
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Google Sheets gets a Gemini-powered upgrade to analyze data faster and create visuals
- Google Sheets now has a Gemini-powered upgrade to analyze data faster and create visuals.
- Users can access Gemini's capabilities to generate insights from data, such as correlations, trends, and outliers.
- The update allows users to generate advanced visualizations, like heatmaps, and insert them as images over cells.
- Gemini generates insights by creating and running Python code for multi-layered analysis.
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Arstechnica
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Sergey Brin says AGI is within reach if Googlers work 60-hour weeks
- Sergey Brin advises Google employees to work 60-hour weeks to support the company's AI efforts.
- Brin believes that artificial general intelligence (AGI) is within reach.
- He thinks the current trajectory of generative AI will lead to the development of AGI.
- AGI would understand concepts and think more like a human being.
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Androidauthority
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Incoming Google Messages texts now arrive with a flourish, but did you even notice?
- Google Messages is rolling out an update for new message animations.
- Messages now expand from the corners, creating a more cohesive interface.
- The animation aims to provide a more intuitive and enjoyable app experience.
- The update was discovered during a previous analysis of Google's Messages app.
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Cloudblog
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Cloud CISO Perspectives: Prepare early for PQC to be resilient against tomorrow’s cryptographic threats
- Christiane Peters from Google Cloud discusses the urgency of preparing for post-quantum cryptography (PQC) to combat future cryptographic threats.
- Post-quantum cryptography adoption is on the rise, with the need for active deployment becoming increasingly pressing sooner than expected.
- Key risks of cryptographically-relevant quantum computers (CRQC) include Harvest Now, Decrypt Later attacks and potential digital signature forgery.
- Implementing PQC is a lengthy process, similar to the Y2K movement, but essential for defending against quantum threats in the 21st century.
- Organizations, including NIST, are working on quantum-safe cryptographic standards to transition public-key cryptosystems by 2035.
- Google Cloud has introduced quantum-safe digital signatures as part of their Key Management Service, emphasizing the importance of PQC readiness.
- Business leaders are advised to develop a roadmap for implementing quantum-resistant cryptography and conducting thorough risk assessments.
- Prepare for system-wide effects and learn from past experiences to facilitate a smooth transition to post-quantum cryptography.
- Early action is crucial to ensure a seamless shift to quantum-resistant cryptography and stay ahead of evolving technology expectations.
- Sign up for the Google Cloud CISO Community and visit the post-quantum cryptography hub for more information on PQC readiness.
- Stay informed about the latest security updates, products, and threat intelligence insights from Google Cloud to enhance your cybersecurity posture.
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Cloudblog
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Evaluate gen AI models with Vertex AI evaluation service and LLM comparator
- To determine the best generative AI model, smart evaluation is essential, like using Vertex AI evaluation service and LLM Comparator.
- Pairwise model evaluations, comparing two models directly, are crucial for assessing relative performance.
- Pairwise model evaluation helps make informed decisions, define 'better' quantitatively, and monitor continuous retraining.
- Vertex AI evaluation service aids in model selection, configuration, prompt engineering, fine-tuning, and migration.
- It also supports various model-based metrics, pairwise evaluations, and computation-based metrics.
- The service allows for custom metrics definition, model comparison, tracking datasets, and seamless API access.
- LLM Comparator, an open-source tool by PAIR at Google, enhances automated LLM evaluation with human-in-the-loop processes.
- LLM Comparator enables side-by-side model output comparisons, visualizations, and custom metric extensions.
- By integrating pairwise evaluation results with LLM Comparator, a deep understanding of model performance can be achieved.
- This semi-automated evaluation approach can streamline model assessment and comparison for diverse LLMs, improving overall quality.
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