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Google's Gemini AI Is now a Pokémon Master

Google's Gemini 2.5 Pro AI has completed Pokemon Blue in a livestream led by an independent engineer named Joel Z.
Gemini played the game with minor developer intervention, showcasing AI model capabilities and strategy in gaming.
ANTHROPIC's Claude model competing in Pokemon Red demonstrated extended thinking and agent training, inspiring the Gemini project.
Gemini used agent harnesses to make gameplay decisions in Pokemon Blue, demonstrating progress in AI strategies and decision-making.

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Siliconangle

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On theCUBE Pod: How enterprise AI is fueling cloud growth, chip risks and Salesforce’s next move

Enterprise AI is transforming the rules of business, cloud growth, and global power, shaping cloud infrastructure and software economics.
TheCUBE Pod's 100th episode highlighted AI's accelerating impact on cybersecurity, enterprise growth, and semiconductor control.
Microsoft Azure's 35% revenue increase showcases the influence of AI services on cloud growth.
AI's role in financial narratives is evident as Microsoft attributes 16% of Azure revenue to AI, strategically boosting perceived momentum.
The semiconductor race intensifies amid AI advancements, with Taiwan's semiconductor control becoming a critical concern for global security.
Intel faces challenges in keeping up with emerging tech waves but shows signs of focus and potential rebound in the AI space.
Salesforce emerges as a distinctive player in the agentic AI arena, positioning itself as a fourth hyperscaler focused on data orchestration and workflow intelligence.
Unlike traditional cloud providers, Salesforce leverages metadata and business logic, giving it an edge in integrating autonomous AI agents into business operations.
TheCUBE Pod episode featured key industry figures discussing AI's impact, including Tesla's Elon Musk and Salesforce's Marc Benioff.
Join the conversation with theCUBE Pod to stay updated on insights from industry experts and thought leaders in the tech landscape.

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Sdtimes

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Amazon Q Developer gets new agentic coding experience in Visual Studio Code

Amazon has introduced a new agentic coding experience for Amazon Q Developer in Visual Studio Code.
This new experience enhances interactive coding capabilities by providing a real-time collaborative partner while writing code, creating documentation, running tests, and reviewing changes.
Amazon Q Developer can now assist users in initiating application creation processes based on prompts, supported in various languages, available for both Pro and Free users.
The feature is designed to improve the coding experience for Amazon Q Developer users and is accessible within Visual Studio Code.

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AWS Blogs

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AWS Weekly Roundup: Amazon Nova Premier, Amazon Q Developer, Amazon Q CLI, Amazon CloudFront, AWS Outposts, and more (May 5, 2025)

Amazon Nova Premier is now generally available in Amazon Bedrock, excelling at complex tasks and multistep planning.
Amazon Q Developer introduces an interactive coding experience in Visual Studio Code for real-time collaboration.
New Foundation Models in Amazon Bedrock, including Writer’s Palmyra and Meta’s Llama models, offer enhanced reasoning capabilities.
Second-Generation AWS Outposts Racks released with significant improvements for demanding on-premises deployments.
Amazon CloudFront SaaS Manager helps providers manage content delivery across multiple customer domains efficiently.
Amazon Q Developer CLI now supports Model Context Protocol for richer context and integration with external data sources.
Amazon Aurora now supports PostgreSQL 17.4, offering community improvements and Aurora-specific enhancements.
CloudWatch introduces tiered pricing for Lambda logs, enhancing flexibility in log management across AWS Regions.
RDS for MySQL updates minor versions, supporting security fixes, bug fixes, and performance improvements.
Amazon Bedrock Model Distillation is now generally available, supporting new models like Amazon Nova and Claude for faster responses.

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AWS Blogs

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Amazon Q Developer in GitHub (in preview) accelerates code generation

Amazon Q Developer in GitHub is now available in preview, allowing developers to use it for feature development, code reviews, and Java code migration directly within the GitHub interface.
Installation of Amazon Q Developer in GitHub involves adding it to selected repositories and verifying its presence in the GitHub account settings.
Feature development with Amazon Q Developer involves assigning issues to the development agent who generates code based on repository context and issue descriptions.
Code review process includes automatic checks on generated code, manual review through GitHub interface, and requesting changes if needed.
Amazon Q Developer can handle complex code issues, provide detailed explanations, and suggest code fixes during the review process.
Transformation of legacy Java codebases to modern versions like Java 17 is supported by Amazon Q Developer's code migration capabilities.
Using Amazon Q Developer simplifies collaboration, accelerates development, enhances code quality, and automates migration tasks within GitHub.
Developers can leverage Amazon Q Developer for free on GitHub without requiring an AWS account setup.
Amazon Q Developer offers a seamless way to develop new features and streamline code reviews, making it a valuable tool for developers.
It is highlighted that providing precise requirements in GitHub issues is crucial for Amazon Q Developer to accurately generate code.

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Unite

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AI-Driven Cloud Cost Optimization: Strategies and Best Practices

AI-driven cloud cost optimization has become crucial as companies migrate workloads to the cloud, with Gartner estimating that 30% of global cloud spending is wasted annually.
Artificial intelligence analyzes real-time usage data to automate cloud cost optimization, helping organizations maintain performance while reducing waste.
AI detects overspending patterns, provides actionable strategies to optimize spending, and enables quick identification of abnormal expenses.
Strategies like workload placement, anomaly detection, rightsizing, predictive budgeting, and predictive autoscaling enhance cloud cost efficiency.
Integration of AI tools into DevOps and FinOps workflows is essential for effective cost optimization and budget management.
Key practices for successful cloud cost optimization include ensuring reliable data, aligning with business goals, and gradually automating optimization processes.
Mistakes to avoid include over-relying on automated rightsizing, scaling without limits, and ignoring provider-specific discounts.
Looking ahead, AI's role in cloud cost management is expected to expand, incorporating sustainability data and offering semi-autonomous platforms.
Successful cloud cost management with AI tools involves integrating them into workflows, ensuring data accuracy, and fostering shared accountability.
AI transforms cloud cost management into a continuous, data-driven process benefiting engineers, developers, and finance teams.

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Dev

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Quarkus 3 application on AWS Lambda- Part 1 Introduction to the sample application and first Lambda performance measurements

The article series explores developing, deploying, and running applications on AWS Lambda with the Quarkus framework, measuring performance, and optimizing Lambda functions using techniques like Lambda SnapStart and GraalVM Native Image.
A sample application using the Quarkus framework on AWS Lambda is demonstrated, utilizing Amazon DynamoDB as a persistence layer and Amazon API Gateway for handling API calls.
To run the sample application, local installations of Java 21, Maven, AWS CLI, SAM CLI, and for GraalVM example, GraalVM and Native Image are required.
Source code examples include Lambda function implementation, interaction with DynamoDB, and dependencies on Quarkus framework in the pom.xml file.
Configurations for AWS SAM deployment, including defining Lambda functions, API Gateway, and DynamoDB table, are explained.
Measurements of cold and warm start times for the GetProductByIdFunction Lambda function are conducted to analyze Java application performance on AWS Lambda.
Results of performance measurements with tiered compilation and specific JVM compilation options are provided, showing cold and warm start times in milliseconds.
The article concludes by highlighting the observed cold start time challenges and upcoming discussions on optimizing Lambda cold start with AWS SnapStart and GraalVM Native Image techniques in the subsequent parts of the series.
The next parts of the series will focus on reducing Lambda cold start time and evaluating the impact on warm start time using optimization methods.
Stay tuned for more insights on developing, running, and optimizing Quarkus web applications on AWS Lambda in the following series installments.

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Tech Radar

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I asked ChatGPT, Gemini, and other AIs how to combat aging, and only one did the right thing

The inevitability of aging prompts people to turn to technology for solutions, with AI playing a significant role.
Multi-millionaire Bryan Johnson is associating AI with his quest for longevity, envisioning a new 'Don't Die' religion.
Johnson believes AI could revolutionize how we approach longevity, impacting both healthcare and religious perspectives.
Investing in his own longevity, Johnson is feeding his body data into an algorithm to potentially surpass traditional healthcare.
Various AI platforms like ChatGPT, Copilot, and Gemini provide advice on combating aging and maintaining youthfulness.
ChatGPT suggests staying active, eating well, and maintaining a positive mindset, while Copilot emphasizes aging gracefully through physical and mental well-being.
Anthropic's Claude AI offers evidence-based strategies including dietary, exercise, sleep, stress management, and social engagements to combat aging.
Gemini, among other AI chatbots, stresses the importance of professional medical consultation alongside AI advice for healthy aging.
While AI can provide valuable guidance, it is crucial to consult healthcare professionals and not solely rely on AI recommendations for health decisions.
As AI continues to advance in healthcare, consulting with doctors remains integral to ensure personalized and accurate guidance for individual health needs.
Ultimately, while AI can offer insights, the expertise of healthcare professionals should be prioritized for optimal health decisions and personalized care.

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Silicon

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Nvidia Tweaking AI Chips For China Amid Export Ban – Report

Nvidia is tweaking the design of its AI chips for the Chinese market to comply with US export rules.
Jensen Huang, Nvidia's CEO, visited China amid export restrictions and stated China is an important market for the company.
Nvidia informed Chinese customers like Alibaba, ByteDance, and Tencent about the design changes to its AI chips.
US export controls have led Nvidia to develop new AI chips for China, with Huawei also working on its own alternatives.

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Digitaltrends

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You can now win a one-of-a-kind RTX 5090, but you need to be quick

Nvidia is celebrating Star Wars Day by giving away a one-of-a-kind RTX 5090 graphics card available in two unique shrouds, one for Star Wars and one for Star Trek.
To participate, users need to reply to one of Nvidia's social media posts, choose between Star Wars and Star Trek, and include #RTXON. The card is valued at $2,750.
The giveaway is restricted to certain regions and participants must be 18 or older to enter. The contest ends on May 6 at 5 PM PT.
Despite the high number of participants, it's worth trying your luck before the deadline expires.

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Tech Radar

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RTX 5080 Super 24GB and 5070 Super 18GB rumored once again – and they could be keenly priced because AMD’s RDNA 4 GPUs have ‘spooked’ Nvidia

Nvidia is rumored to be working on RTX 5080 and 5070 Super variants with 24GB and 18GB of VRAM respectively, potentially offering up to a 15% performance boost.
The pricing strategy for these Super models might be influenced by competition from AMD’s RX 9000 family, with Nvidia considering maintaining current MSRPs to appeal to gamers.
Speculation suggests that the RTX 5080 Super could match the performance of the RTX 4090, aided by increased VRAM and higher clock speeds.
The source mentions that Nvidia has been testing the RTX 5080 and 5070 Super models for over half a year but design decisions are on hold pending market conditions.
The potential Super variants are said to be highly overclocked versions with 24GB and 18GB VRAM, offering a significant boost in performance over the current models.
The rumored performance gain of 10% to 15% for the Super variants would be achieved through the VRAM increase and clock speed enhancements.
Nvidia may be aiming to counter AMD's recent successes in the GPU market with these Super variants, targeting mid-range market segments more aggressively.
The timing of the launch for the RTX 5080 and 5070 Super models is speculated to be later in 2025, as Nvidia strategizes its response to AMD’s market presence.
The potential introduction of RTX 5080 and 5070 Super GPUs could impact the current GPU landscape, especially in the mid-range segment where Nvidia faces competition from AMD.
Nvidia’s move towards Super variants reflects a proactive approach to maintain competitiveness and appeal to consumers in the face of increasing competition.

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Tech Radar

454

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Quordle hints and answers for Tuesday, May 6 (game #1198)

Today's Quordle puzzle hints and answers for game #1198 are provided.
Quordle, a popular Wordle alternative, continues to challenge players over 1,100 games later.
Hints include the number of different vowels, presence of repeated letters, and absence of Q, Z, X, or J.
Additionally, information on starting letters and actual answers for today's game are shared.
The answers for Quordle game #1198 are UNITE, SOGGY, FILET, and PORCH.
The daily sequence answers are BASIC, CRIED, RESIN, and GLAND.
Previous Quordle answers are also listed to provide reference for players.
Players are encouraged to share their performance in the comments.
Quordle offers a challenging word game experience for its dedicated players.
The article provides a comprehensive overview of Quordle hints and answers for Game #1198.

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Tech Radar

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NYT Strands hints and answers for Tuesday, May 6 (game #429)

NYT Strands puzzle for Tuesday, May 6 is game #429 with theme 'I'm in lobe'.
Clue words for game #429 are DRONE, ROPE, GAIN, NEAR, GLUE, CHOP.
Today's spangram for game #429 has 8 letters and touches the bottom of the 4th column and the top of the 3rd column on the board.
Answers for game #429: STUD, CUFF, HOOP, CHANDELIER, PLUG, CLIPON, TEARDROP. SPANGRAM: EARRINGS.

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Siliconangle

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RightRev lands $13M to meet growing demand for intelligent revenue recognition

Automated revenue management startup RightRev has secured $13 million in new funding to enhance product innovation, expand its market reach, and grow its partner ecosystem in response to rising demand for revenue automation.
RightRev, founded in 2020, provides a revenue recognition automation platform that helps businesses adhere to accounting standards like ASC 606 and IFRS 15 by automating the revenue lifecycle from contract ingestion to journal entry generation.
The platform offers configurable revenue rules, automates complex tasks such as standalone selling price calculations, and integrates with systems like Salesforce CPQ and enterprise resource planning tools to ensure unified data flow.
The funding round, co-led by Cheyenne Ventures and Innovius Capital, will also support advancements in artificial intelligence capabilities within the RightRev platform to enhance speed, accuracy, and intelligence for revenue teams globally.

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Dev

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AWS Config vs Kubernetes Native Policy Engines: Who Governs What?

In cloud-native environments, compliance and governance are crucial for security and operational efficiency.
AWS Config and Kubernetes-native engines like OPA and Kyverno play different roles in governing containerized workloads.
AWS Config focuses on cloud-wide compliance, while Kubernetes-native engines handle cluster-level policy enforcement.
AWS Config monitors and evaluates AWS resource configurations against desired states for compliance.
AWS Config can detect misconfigurations in Amazon EKS (e.g., public clusters) and ECS (e.g., privileged access for containers).
Config rules in AWS include managed and custom rules for evaluating compliance in real time.
Kyverno and OPA Gatekeeper are Kubernetes-native policy engines that enforce policies using code.
AWS Config excels in infrastructure-level governance, while Kyverno/OPA are best for workload-level enforcement within Kubernetes.
AWS Config and Kubernetes-native engines complement each other, offering comprehensive governance in cloud-native environments.
Adopting a DevSecOps approach with AWS Config and Kubernetes-native engines ensures security and compliance at every stage of the delivery pipeline.

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