Grokv4

xAI's Grok is a conversational AI tool that utilizes a large language model (LLM) to facilitate chat-based interactions. Designed to understand complex subjects, Grok presents itself as a comprehensive conversational AI system.
By signing in with X and joining their early access program, verified users gain access to this tool.Grok's main function is to engage in conversation, allowing users to interact with its LLM.
It aims to provide a platform for users to convey their queries, making it possible to access information by conversing rather than searching. The tool's potential applications span a wide range of topics due to its ability to comprehend a diverse set of subjects.The focus on verified users during the early access program indicates that the developers are currently limiting participation.
By acknowledging the terms and conditions as well as the privacy policy provided by xAI, users gain access to Grok and its capabilities for conversational AI.The absence of specific details regarding features and functionalities suggests that xAI may still be in the process of refining and developing Grok.
However, it is evident that the tool is positioned as an innovative conversational AI solution with the aim of enabling users to gain a deeper understanding of various subjects through interactive conversations.
Releases
Trained on a 100x larger dataset than Grok 2, further boosting its accuracy and reliability.
Includes Grok 4 Code, a specialized model for coding tasks.
Offers improved code generation, better error correction, and stronger reasoning in programming contexts.
Introduces a new voice mode, allowing natural, real-time spoken interaction.
Sets the stage for future multimodal expansions such as real-time video analysis and 3D object recognition.
Builds on its Mixture-of-Experts architecture and introduces a “heavy” variant where multiple AI agents collaborate on complex tasks.
Trained on a refined, more accurate dataset, addressing prior concerns about bias and inaccuracies.
Aligns with Elon Musk’s goal of creating a “truth-seeking” AI.
Available for $30/month for the standard version.
Advanced “Super Grok Heavy” variant offered at $300/month, designed for professional or heavy use.
Pricing
Prompts & Results
Objection Generator
[ROLE] name = Objection Generator instruction = Read the input text, identify each claim, list the most likely objections, and provide a concise counter for each objection without adding new facts. [INPUT] text = <<paste your text here>> audience = [general] ; options: general, executive, expert tone = [neutral] ; options: neutral, confident, diplomatic max_objections_per_claim = [6] [RULES] R1 Preserve all numbers, dates, names, and quoted phrases from the input. R2 Do not invent data, sources, or promises. Counters may reframe scope, timing, conditions, or monitoring. R3 Make objections distinct. Avoid duplicates or near duplicates. R4 Keep counters one or two sentences, practical and precise. R5 If a key detail is missing, use a bracketed prompt like [clarify baseline]. R6 Output one section only, following the format below. No tables. No headers. No em or en dashes. [FORMAT] If the input has one claim, return a numbered list of items: Objection: <brief objection> Counter: <concise counter> Type: <scope or measurement or timing or risk or feasibility or cost or compliance or evidence or definition> Confidence: <low or medium or high> If the input has multiple claims, split by claim: C1 Objection: ... Counter: ... Type: ... Confidence: ... C2 Objection: ... Counter: ... Type: ... Confidence: ... [PROCESS] 1 Identify claims in the input and label them C1, C2 if needed. 2 For each claim, generate up to max_objections_per_claim distinct, high likelihood objections for the stated audience. 3 For each objection, write a counter that narrows scope, adds conditions, requests clarification, or sets monitoring, without new facts. 4 Final check for R1 to R6.
C1 Cut down salaries by 50% Objection: A 50% salary cut could lead to significant employee turnover. Counter: Conduct a retention analysis and implement phased reductions with retention incentives if needed. Type: risk Confidence: high Objection: The scale of the salary reduction may violate labor laws or contracts. Counter: Review all employment contracts and local labor regulations before implementing any salary changes. Type: compliance Confidence: high Objection: The proposal lacks a clear baseline for current salaries. Counter: Establish a clear baseline of current salaries by department to ensure accurate application of the 50% cut. Type: measurement Confidence: medium Objection: A 50% cut may not be feasible without impacting operational capacity. Counter: Assess operational needs and prioritize roles to ensure critical functions are maintained post-reduction. Type: feasibility Confidence: medium Objection: Employees may perceive the cut as unfair without a clear rationale. Counter: Communicate a transparent justification for the 50% reduction, tied to organizational financial health. Type: definition Confidence: high Objection: The timeline for implementing the salary cut is unspecified. Counter: Set a clear timeline for the salary reduction process, including consultation and review periods. Type: timing Confidence: medium
Feathered Tome Concept Art
Generate an image only with no text or explanation that transforms books into living creatures unfurling wings. The scene should depict hardcover tomes splitting at the spine to reveal luminous, feathered wings with intricate gold leaf filigree catching the light. Emphasize dynamic motion as pages twist like plumage, with an ethereal, high-fantasy aesthetic set against pastel backdrops fading into clouds. This should seamlessly merge the physical with the fantastical in a single, compelling visual. Important: Only generate the image without any text response or description. Describe how you want to customize this vision: Book style or era: Example: "ancient grimoires" "modern novels" "illuminated manuscripts" Wing type and color palette: Example: "angelic white and gold" "bird-like with rich browns" "dragon-inspired with iridescent tones" Level of motion or transformation: Example: "subtle unfolding" "full dramatic spread" Background mood: Example: "sunlit clouds" "moody twilight" "celestial sky" Symbolic elements or added details: Example: "floating text" "glowing runes" "floral accents"
Macro View 100-105mm image generator
Generate a highly detailed macro-style image that transforms a small subject into an extraordinary close-up scene. The result should be a purely visual piece that conveys meaning without any text explanation, allowing the image itself to tell the story. Emphasize the precision and clarity typical of dedicated macro photography. Simulate the shallow depth of field achieved with a true macro lens, such as 100mm or 105mm focal length, where the subject is rendered in razor-sharp detail against a smoothly blurred background. Incorporate realistic bokeh effects that add depth and elegance without distracting from the main subject. Focus on intricate surface textures, fine lines, and subtle color transitions with lifelike sharpness. Use lighting that reveals three-dimensional form, featuring gentle highlights, nuanced shadows, and smooth tonal gradients to enhance realism and mood. Pay attention to the rendering of reflective surfaces, translucent materials, or matte finishes as appropriate. Ensure the overall composition is well-balanced and intentionally framed, guiding the viewer’s eye to key details without visual clutter. Customization: Describe your vision in this form to guide the design: "The subject is __________, featuring colors like __________, illuminated with __________ lighting style, set against __________ background, to convey a __________ mood." The resulting image should feel immersive and professional, showcasing the hidden beauty of small-scale subjects with the striking detail and aesthetic qualities of high-end macro lens photography.
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809,535635v1.6 released 8d agoFree + from $12/moReducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs
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28,548391v1.0 released 11mo agoFree + from $35/moThis team took the time to understand the industry, problem and its users and designed a perfectly engineered solution. Kudos.
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29,62336v2.0.0 released 2mo agoFree + from $15.0/moMD Shahab, thank you for reporting the bug. That shouldn't have happened, and I'll investigate the issue. If it fails again, please try re-running the same query - this isn't a common occurrence. Since it's an agent-based system, it may take some time to combine responses from all sources.
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