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Mac gaming just leveled up – Steam finally runs natively on Apple silicon

The latest Steam beta now runs natively on Apple silicon, improving performance and efficiency.
Apple is phasing out support for Intel Macs and the Rosetta 2 compatibility layer.
The announcement coincides with Apple's plans to end support for Intel Macs starting with macOS Tahoe 26.
Steam Client and Steam Helper apps have been updated to run on Apple silicon.
This change means Steam games on macOS should run smoother with faster frame rates and better battery life.
The transition allows the Steam client to launch more promptly and be more responsive on Macs.
Developers will need to provide ARM-coded versions of their applications moving forward.
To access the beta version, users can opt in via the Steam app preferences on their Mac.

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Quordle hints and answers for Sunday, June 15 (game #1238)

Quordle offers a genuine challenge and has over 1,100 games.
Hints and answers are provided for Quordle game #1238.
Hints include details on vowels, repeated letters, uncommon letters, and starting letters.
Today's Quordle answers for game #1238 are SHOCK, STEIN, BROIL, COVEN.
Previous Quordle answers for different dates are also listed.

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NYT Strands hints and answers for Sunday, June 15 (game #469)

NYT Strands game #469 features a 'Here's to him!' theme.
Clue words for game #469 include SCORE, PEACH, THERE, HAIL, PROLE, and CROP.
The spangram for game #469 consists of 10 letters.
The spangram position for game #469 is on the left, 5th row and right, 5th row of the board.
The answers for game #469 are CHALUPA, CRAWDAD, POPCORN, PAPARAZZI, POPSICLE, and the spangram answer is FATHER'S DAY.
The article discusses the difficulty of realizing the theme related to fathers in the game and shares the author's experience.

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Dev

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Mastering AWS Knowledge Bases with Bedrock: A Complete Guide

Amazon Bedrock enables the development of scalable GenAI applications using foundation models like Claude, Titan, and Meta's Llama.
AWS Knowledge Bases allow the integration of internal data into these models through retrieval-augmented generation (RAG).
Knowledge Bases help link structured/unstructured documents to Bedrock's foundation models, enhancing context.
Users can upload documents to S3, choose an embedding model, configure a vector DB, and create a Knowledge Base in the Bedrock console.
Example use cases include powering support chatbots with internal documentation and reducing ticket loads.
Service integrations involve Lambda, API Gateway, CloudWatch, and S3 for document ingestion.
Best practices include chunking documents, using cosine similarity, testing different models, and cleaning irrelevant headers.
Industry use cases span healthcare, finance, e-commerce, and EdTech sectors, employing AI for various purposes.
AWS certifications like AI Practitioner and Solutions Architect Associate emphasize areas related to retrieval-augmented generation (RAG).
By leveraging AWS Bedrock with Knowledge Bases, organizations can transform static content into dynamic, intelligent experiences setting the stage for cloud-based AI.

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Dev

270

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Mastering No-Code/Low-Code: Building Enterprise-Grade Solutions

The article explores the adoption and challenges of no-code/low-code platforms in building enterprise-grade solutions.
Organizations are transitioning from the initial hype to mastering these platforms for robust and secure applications.
Common challenges include scalability concerns, security & compliance issues, integration complexities, vendor lock-in, and limited customization.
Adopting a hybrid approach with a fusion team of professional and citizen developers is recommended for effective enterprise use.
No-code/low-code platforms excel in scenarios like internal tools, departmental applications, rapid prototyping, workflow automation, and customer portals.
Best practices for scalability involve leveraging platform-native scaling features, designing efficient data models, and offloading heavy computations via APIs.
Security measures include implementing robust authentication and authorization, data encryption, compliance adherence, and utilizing platform-specific security features.
Strategies for seamless integration include an API-first approach, middleware solutions like iPaaS, and conceptual low-code integration flows.
The future outlook includes AI-driven development, intelligent automation, hyper-automation, and the composable enterprise.
The collaborative ecosystem of no-code/low-code, traditional development, and AI is set to deliver agility and innovation in enterprise software development.

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113

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Would you buy your child a ChatGPT‑powered Barbie? I’m queasy at the prospect of a real‑life Small Soldiers scenario

Mattel is partnering with OpenAI to create AI-powered toys, sparking excitement and concern about potential risks.
Although AI has been beneficial in various aspects like aiding parents in activities, the idea of direct interaction with children raises concerns.
Mattel and OpenAI aim to provide safe and creative play experiences for kids through AI-powered toys.
Concerns arise regarding the possibility of bizarre conversations and inappropriate content when children interact with ChatGPT-powered toys.
The reference to the movie 'Small Soldiers' evokes the potential chaos if generative AI is incorporated into toys children spend time with.
While recognizing the appeal of AI-enhanced toys, there are reservations about exposing children to generative AI models like ChatGPT.
Ensuring safety and privacy in AI interactions with toys is crucial, considering that 'appropriate' experiences with language models can be complex to define.
The distinction between playing with interactive toys and forming genuine bonds with them raises questions about the nature of relationships children may develop with AI-powered toys.
The importance of parental supervision and control over AI interactions in toys is highlighted to prevent potential glitches or unintended behaviors.
Advocating for a cautious approach, the article emphasizes the need for strict limitations on AI in toys to mitigate risks and ensure child safety.

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OpenAI has upgraded ChatGPT’s Projects feature, and I find it makes working way more efficient

OpenAI has upgraded ChatGPT's Projects feature to remember past chats, tone preferences, and files, making it function more like smart workspaces.
The upgraded Projects feature allows ChatGPT to remember related chats and files within a project, enhancing continuity in conversations.
Users can now upload notes, chat about topics, and maintain conversations without repetition, with ChatGPT remembering formatting and tone preferences.
The Deep Research tool in Projects enables multi-step tasks with live information from the web, alongside voice mode and mobile file uploads.
Subscribers of ChatGPT Plus or Pro can access the upgraded Projects features, potentially becoming available to free users in the future.
While the Projects feature enhances ChatGPT's capabilities for personal and smaller efforts, it may not replace tools like Notion or Trello for larger organizational needs.
OpenAI aims for ChatGPT to be a comprehensive life and work assistant, evolving beyond a mere chatbot provider.
The upgraded Projects feature offers efficiency but with some navigational challenges, providing a more organized data source for research and tasks.
Despite some limitations, the enhanced Projects feature simplifies using ChatGPT for various purposes, from research to event planning.
OpenAI's vision is to position ChatGPT as a versatile tool for seamless work interactions, potentially streamlining diverse tasks within a single platform.

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Dev

349

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Mastering GitOps at Scale: Strategies for Multi-Cloud, Hybrid, and Edge

GitOps establishes a Git repository as the source of truth for configurations, with advanced strategies for multi-cloud, hybrid, and edge environments.
Multi-Cloud GitOps unifies diverse cloud infrastructure through treating cloud resources as code within a central Git repository.
Crossplane extends Kubernetes to manage external cloud services declaratively, enabling provisioning and management using Kubernetes-native tooling.
Hybrid Cloud GitOps bridges on-premises and cloud environments by deploying GitOps agents and ensuring configuration consistency.
GitOps for Edge Computing and IoT involves hierarchical repositories, lightweight agents on edge devices, and pull-based mechanisms for management.
Advanced Security & Compliance in GitOps integrates policy-as-code tools for automated enforcement, reducing the attack surface and enforcing immutable infrastructure.
Operational Excellence in GitOps involves scaling considerations like repository structure and observability strategies for monitoring and troubleshooting.
Successful GitOps adoption requires a cultural shift towards a Git-centric workflow and investment in training and collaboration.
GitOps challenges in 2025 emphasize the importance of managing the complexities of GitOps at scale.
GitOps offers benefits in managing distributed landscapes through advanced strategies and principles like declarative infrastructure and application configurations.

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Dev

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Transform enterprise workloads with AWS Transform and Agentic AI

Organizations facing challenges with legacy applications and obsolete architectures can benefit from modernizing enterprise workloads with AWS Transform and Agentic AI.
Despite the strong reliance on traditional infrastructures, there is a significant opportunity for modernization, as highlighted by Gartner and McKinsey data.
AWS Transform utilizes Agentic AI to automate complex migration and modernization tasks for .NET, Mainframe, and VMware workloads, offering assessment services and cost savings.
The service provides expertise in transforming applications into modern technologies, such as breaking down monolithic COBOL z/OS applications and automating VMware network configurations.
AWS Transform streamlines collaboration across teams, providing control and visibility into transformation plans to ensure alignment with business objectives.
Key benefits include accelerating modernization, reducing costs, enhancing innovation, security, and performance in enterprise workloads.
Agentic AI, integrated into AWS Transform, emphasizes autonomous software agents that make decisions, plan, interact, and learn dynamically to achieve specific transformation goals.
AWS Transform represents a strategic ally for organizations aiming for technology modernization by leveraging automation, data-driven analytics, and AWS ecosystem integration.
Looking ahead, Gartner projects a significant increase in the adoption of Agentic AI in enterprise software applications by 2028, foreseeing a transformative impact on digital interactions.
Overall, AWS Transform empowers organizations to modernize with cloud and AI support efficiently and securely, whether scaling web applications or upgrading critical systems.

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Dev

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How to use Functions in OCI (Python)

Oracle Cloud's Functions offer a serverless architecture solution like AWS Lambda and allow short functions to be performed on-demand in the cloud.
OCI Functions support multiple programming languages like Java, Python, Node, Go, Ruby, and C#, and can even use custom Dockerfiles and Graal VM for advanced cases.
To create a Function in OCI using Python, you need to start by creating an application within the OCI UI console.
Prerequisites include setting up OCI API config profiles and installing the fn CLI using respective commands for macOS, Linux, or Windows.
The process involves creating and deploying a sample Python function using commands provided in the OCI UI Console under Getting Started.
After deploying, the function can be invoked using the Fn CLI or OCI CLI with signed HTTP requests by copying the Invoke endpoint.
The Python function includes files like func.py, func.yaml, and requirements.txt to define the function logic, runtime, and dependencies.
References for creating and using OCI Functions are available for further details and guidance.
Information provided about OCI Functions is intended for informational purposes and should not be solely relied upon for purchasing decisions.

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Siliconangle

243

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Databricks makes its play for AI, Meta plays catch-up, and Chime IPO shines

Databricks aims to lead AI agents, introducing Lakebase database, focusing on democratizing data analytics for all users.
Google Cloud faced disruptions, cause unknown, impacting internet services on Thursday.
Meta strives for AI dominance, acquiring Scale AI, launching J-VEPA 2, and preparing for a superintelligence lab.
Chime IPO successful, raising $700 million, while Oracle and Adobe report solid earnings, GitLab disappoints.
Cisco unveils AI-friendly networking products, as AWS emphasizes cloud infrastructure investments for AI at their summits.
Apple criticized for delays in AI integration, cybersecurity startups raise significant funding, and new AI models and services emerge.
Several funding rounds for AI and tech companies, as well as cybersecurity investments, highlighted in the tech industry.
Disruptions include Google Cloud identity failure causing internet disruptions, while AMD and HP introduce new products.
Various companies raise significant amounts in funding, acquisitions occur, and companies like Uber and Stripe make strategic moves.
Noteworthy tech figures switching roles, including executives from Google, Alteryx, Genesys, and Upwind.
The tech landscape sees advancements in quantum, AR, and robotics, with events like Waymo suspending operations due to vehicle damage in protests.

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Siliconangle

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Databricks makes its play for AI agents, Meta plays catch-up, and Chime’s IPO shines

Databricks aims to lead the way to AI agents using its data platform and new database, Lakebase, targeting AI democratization and data analytics simplification.
Google Cloud faced disruptions impacting internet service, leaving the cause unclear.
Mark Zuckerberg's Meta makes a move to enhance AI capabilities with Scale AI acquisition and CEO appointment for a 'superintelligence lab.'
Chime's IPO raises $700 million, reflecting investor optimism, while Oracle and Adobe report solid earnings and GitLab faces revenue outlook challenges.
Cisco launches AI-friendly networking products, AWS emphasis on data center investment, and Apple criticized for AI delays in Siri.
Cybersecurity funding highlights include Cyera's $540 million raise and Horizon3.ai's $100 million funding.
Meta introduces J-VEPA 2 AI model, OpenAI debuts o3-pro reasoning model, and Google develops AI for tropical cyclone forecasting.
Financial highlights feature Meta's investment talks, OpenAI's $10 billion revenue, and Laurel's $100 million funding for time intelligence tech.
Recent company acquisitions, product launches, and earnings from various tech giants are detailed in the article.
Security updates include Cyera's $6 billion valuation raise and new products and services like Vanta's AI Agent for compliance workflows.
Emerging tech news covers Apple's design and capabilities update, IBM's quantum computer roadmap, Stripe's Privy acquisition, and Uber's robotaxis in London plans.

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Tech Radar

188

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I tried Portraits: Google's new way of turning real-life experts into your own personal AI life coach

Google's new Portraits experiment allows users to chat with AI avatars modeled after real experts.
The initial Portrait features an AI version of Kim Scott, the author of Radical Candor.
People can access these AI avatars through Google Labs for one-on-one interactions based on the expert's real content.
Users in the US can currently engage with Kim Scott's AI avatar focused on leadership and management topics.
The responses from the AI avatars are tailored to provide advice and are developed in collaboration with the real experts.
The AI avatars aim to offer personalized advice, akin to conversing with a real person, enhancing user experience.
While conversing with the AI avatars, users appreciate the realistic voice and language choices, simulating a genuine interaction.
Google envisions a future where diverse AI avatars provide expertise across various domains, enhancing accessibility to knowledge.
The aim is not to replace human mentors but to distribute their knowledge broadly through AI avatars.

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415

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LibreOffice maker urges Windows 10 users to defect in viral ‘Go Linux, not Windows 11’ campaign

The Document Foundation, makers of LibreOffice, encourages Windows 10 users to consider switching to Linux rather than upgrading to Windows 11.
TDF highlights Linux's strengths of being free, open, and transparent, offering an alternative to the Windows ecosystem.
They emphasize that Microsoft's move to Windows 11 may limit users and increase dependence on Microsoft services.
TDF advocates for Linux and LibreOffice as a privacy-friendly and future-proof option compared to Windows 11.
Concerns include hardware requirements making older PCs obsolete, pushing users towards Linux.
The transition from Windows 10 to Linux is portrayed as a manageable shift, offering testing on a separate partition as a starting point.
While Linux is praised for its free and open nature, the article acknowledges potential challenges for less tech-savvy users in adapting to a new operating system.
The article discusses the enthusiast nature of Linux, with recommendations of beginner-friendly distros for those considering a move.
Emphasis is placed on Linux's supportive community, although the steep learning curve for some Windows 10 users remains a concern.
Overall, the article highlights the ongoing debate between sticking with Windows 11 or exploring the possibilities of Linux as an alternative.

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336

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Nvidia RTX 5050 again rumored to pack slower VRAM than other Blackwell GPUs, but don’t write off this budget graphics card yet

Nvidia's RTX 5050 desktop GPU is rumored to feature 8GB of GDDR6 VRAM, slower than other Blackwell GPUs.
Rumors suggest the RTX 5050 will run at 20Gbps, the same speed as AMD's RDNA 4 GPUs.
Nvidia can still have a successful budget GPU if the pricing is competitive.
Speculation indicates the RTX 5050 could launch in July, possibly alongside a mobile variant for budget gaming laptops.
The credibility of the leaks points towards an imminent launch of the RTX 5050.
There are conflicting reports on whether the RTX 5050 will use GDDR6 or GDDR7 VRAM.
The desktop version is leaning towards GDDR6, while laptop rumors vary between GDDR6 and GDDR7.
It is unlikely that both types of VRAM will be used in laptops.
It is possible that Nvidia initially planned for GDDR7 but shifted to GDDR6 for all RTX 5050 models.
The RTX 5050 is expected to come with 8GB of VRAM, tailored for budget-conscious consumers.
Despite concerns about its purported specs, the success of the RTX 5050 will hinge on competitive pricing.
The overall perception of the RTX 5050 could change based on its pricing strategy.
Nvidia and AMD are in a competitive landscape with their respective GPU offerings.
AMD's RX 9070 Extreme graphics card might offer improved performance.
Nvidia's RTX 5060 Ti has gained popularity based on a Steam survey.
Speculation around Nvidia's RTX 5080 Super suggests some disappointment among gamers.

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