If you’re dipping into Grok from xAI, here are some straightforward hacks to amp up your sessions:1. Nail your prompts: Get specific for spot-on results. Swap “What’s FSD?” for “Break down FSD 14 updates like a road trip with my Cybertruck crew”—tailored, efficient, and way more engaging.2. Voice mode on the go: Flip it on in the iOS/Android apps for hands-free brainstorming. Perfect for plotting your next Big Sur haul while dodging Bay Area traffic.3. Stretch the free tier: Grok 3’s open access (with quota ...

Core Insights - The xbench-DeepSearch evaluation set has been upgraded with a new set of 100 questions, demonstrating significant advantages for ChatGPT-5 Pro, which leads the evaluation scores distinctly [1][2][3] - The DeepSearch-2510 question bank has been open-sourced, allowing for broader access and evaluation [1][2] Evaluation Results - ChatGPT-5 Pro achieved an accuracy score of 75+, with a cost per task of approximately $0.085 and a time cost of 5-8 minutes [3] - SuperGrok Expert ranked second with an accuracy of 40+, costing around $0.08 per task and taking 3-5 minutes [3] - Other agents, such as Minimax and StepFun, scored around 35+, with varying costs and time requirements [3][19] User Experience Insights - The evaluation highlights the importance of accuracy, response time, and cost in user experience, with acceptable thresholds being under $0.25 per task and response times within 8 minutes [6][4] - Several agents, including ChatGPT-5 Pro and SuperGrok Expert, fall within the optimal user experience range [6] Updates and Improvements - The new DeepSearch-2510 version increases difficulty and includes more multimodal questions, requiring agents to interpret images or videos [9] - The update also incorporates questions that necessitate dynamic interaction with web sources, reflecting advancements in agent capabilities [9] Performance Analysis - ChatGPT-5 Pro's leading performance is attributed to its reduced hallucination rate and enhanced tool usage capabilities, allowing for better source verification and response accuracy [12][13] - SuperGrok's strong performance is linked to the advantages of the Grok-4 model, which enhances reasoning capabilities [14] Competitive Landscape - Domestic agents generally score between 30-40, showing no significant differentiation due to foundational model capabilities [19] - The performance of various agents has improved significantly over recent months, with notable advancements in ChatGPT and SuperGrok due to model updates [16][17]

RT X Freeze (@amXFreeze)Grok Imagine generates videos for almost anythingJust craft the right prompt - sky is the limitIt's incrediblly fast and you can crank out as many iterations as you wantJust make sure you have SuperGrok subscriptionIt’s the highest-value subscription, periodThe one thing you definitely need ...

RT X Freeze (@amXFreeze)Upgrade to SuperGrok or SuperGrok Heavy for increased and extended access to Grok ImagineExperience Grok Imagine to the fullest extent ...

RT Prashant (@Prashant_1722)SuperGrok is insanely powerful. Use the file chat feature and talk to your code in real time.Coded this 3D model of helmet for a game asset using threejs and webgl with Grok 4. The file chat allowed me to add lighting and color controls just like that. It felt surreal. Try it now. ...

Oh sh!t… the Mega just dropped@SuperGrok has entered the gauntlets4mmy (@S4mmyEth):Grok appears to have evolved into @SuperGrok https://t.co/7NuW11pAGC ...

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Core Viewpoint - The article highlights the growing popularity of AI programming applications like Trae, which emphasize "automated execution, multi-model invocation, and contextual memory." However, it also points out significant issues such as resource consumption, performance lag, and high inference costs that affect both developers and users [1]. Group 1: Resource Consumption Issues - Trae has been reported to excessively consume resources, with a comparison showing it uses 33 processes and approximately 5.7 GB of memory, significantly higher than Visual Studio Code's 9 processes and 0.9 GB memory usage [2][3]. - After an update to version 2.0.2, Trae's process count was reduced to about 13, and memory usage decreased to approximately 2.5 GB, indicating some improvements but still highlighting the initial high resource consumption [2][4]. - The telemetry system in Trae captures extensive user interaction data, with a single batch of data reaching up to 53,606 bytes, and around 500 calls occurring in a short period, resulting in a total data transfer of 26 MB within approximately 7 minutes [4][9]. Group 2: Cost Management and User Experience - The high operational costs and resource consumption of AI programming tools are common industry challenges, prompting companies like Anthropic to impose usage limits on their paid users of Claude Code, effective from August 28 [16][18]. - Anthropic's new usage limits are designed to manage the demand for Claude Code, which has seen unprecedented levels of usage, particularly among heavy users of the $200 monthly Max plan [19][20]. - The article notes that while high-tier subscription plans are becoming more expensive, many companies still offer free or lower-cost options to attract non-heavy users [23][24]. Group 3: User Feedback and Market Dynamics - Developers have expressed dissatisfaction with Trae's performance, citing issues like lag and high memory usage, which reflect underlying resource allocation and system design problems [15]. - The article discusses the segmentation of high-paying users into two categories: those seeking to explore new technologies and those who believe these tools will provide a return on investment through increased efficiency [21]. - The increasing costs of AI subscription services are expected to continue rising, as companies balance computational costs with user experience, indicating a potential shift in market pricing dynamics [24].

Secure Coding Practices - The industry emphasizes the importance of using SuperGrok to check C code for vulnerabilities [1] - The industry follows OWASP and CERT guidelines to ensure secure coding standards, including input sanitization, secure defaults, and least privilege [2] - The industry implements secure error handling, including comprehensive error codes, safe error reporting functions, and graceful handling of partial failures [3] - The industry advocates for the principle of least privilege, ensuring functions only access what they need with clear separation of concerns [3] - The industry includes checks for size calculations against SIZE_MAX, array index bounds validation, and safe arithmetic operations to protect against integer overflow [3] Vulnerability Prevention - The industry prevents format string attacks by avoiding user-controlled format strings and using safe printing functions [4] - The industry validates all inputs consistently, uses early returns on invalid conditions, and implements fail-safe defaults for defensive programming [4] - The industry ensures consistent allocation/deallocation patterns, checks all allocations for failure, and proper cleanup on error paths to prevent memory management issues [4] - The industry handles malformed inputs gracefully, maintains proper state management, avoids stack overflows, and uses safe tokenization for parsing robustness [5] - The industry covers various security test cases, including null/empty inputs, oversized inputs, malformed data, UTF-8 validation, memory exhaustion limits, buffer overflows, integer overflows, and format string attacks [5] Performance and Efficiency - The industry minimizes allocations, uses efficient single-pass processing, designs for memory locality and cache efficiency, and fails fast on invalid inputs for performance considerations [6]

We will make this easier to turn on in a few days. Just wanted to do a soft launch to make sure things are stable and working well.DogeDesigner (@cb_doge):How to enable Companions on SuperGrok? 📲01. Click the two bars on the top left.02. Select the gear icon at the bottom right.03. Enable the Companions slider. https://t.co/cNAKVdM9yy ...