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Transform your transcripts into engaging LinkedIn posts with AI! This powerful tool analyzes your content and generates 10 professional LinkedIn posts using the "Hook-Contrarian-In Reality-Advice-Wrap" framework, perfect for content creators and social media managers.
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Pricing
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You can access the 🤖 Transcript to LinkedIn Posts Converter programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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However, the company has decided not to release the tool broadly due to concerns over the potential for misinformation, especially in a year filled with global elections. Instead, OpenAI aims to foster discussions on the responsible use of synthetic voices and has shared examples of the technology's application in various sectors, such as education and healthcare, while emphasizing the importance of informed consent and the use of watermarks to trace generated audio. Voice Engine has been utilized in different domains, including by the Age of Learning for voiceovers and the Norman Prince Neurosciences Institute to help restore a patient's lost voice. Despite its potential benefits, OpenAI is cautious about the widespread deployment of this technology, advocating for public education on AI's capabilities and the exploration of policies to protect individuals' voices. The company suggests transitioning away from voice-based authentication for security due to the increasing realism of voice clones. While OpenAI holds back on a general release, competitors like ElevenLabs offer similar technologies that require more audio input but still produce voice clones. These companies are implementing safeguards like \"no-govoices\" to prevent misuse, such as impersonating political figures during elections. Despite these measures, the rapid advancement of voice cloning technologies underscores the need for a careful approach to their development and deployment. Related: ‘It’s very easy to steal someone’s voice’: how AI is affecting video game actors OpenAI and Microsoft Plan $100 Billion AI ‘Stargate’ OpenAI and Microsoft are making headlines with plans for a massive $100 billion data center project called \"Stargate,\" set to launch in 2028. This ambitious endeavor aims to create the largest AI supercomputer, with Microsoft potentially bankrolling the project. The success of Stargate hinges on OpenAI's next major upgrade, expected early next year, marking a significant step in the partnership between the two tech giants. The project's scale is unprecedented, dwarfing existing data centers and signifying a major leap in AI infrastructure. This move is part of a broader \"battle for generative AI,\" where tech giants like Google, Meta, and Anthropic are also key players. These companies are leveraging their vast computing resources and technological expertise to lead in AI innovation. John Licato from the University of South Florida highlighted Google's competitive edge, citing its advanced Gemini models and deep experience with AI technologies. Access to extensive computing power, including GPUs and TPUs, is crucial for these companies as they develop and deploy sophisticated AI systems, shaping the future of artificial intelligence. Huge AI funding leads to hype and ‘grifting’, warns DeepMind’s Demis Hassabis Demis Hassabis, the co-founder of DeepMind, has expressed concerns over the massive influx of funding into the AI sector, warning that it could lead to excessive hype and even grifting, potentially overshadowing the genuine scientific advancements in the field. He acknowledges the transformative potential of AI but stresses the importance of differentiating between realistic progress and exaggerated claims. Hassabis highlights the achievements of DeepMind's AlphaFold in advancing scientific research and emphasizes the need for a methodical scientific approach in pursuing AI development, particularly as we edge closer to achieving artificial general intelligence (AGI). The excitement surrounding AI, particularly after the release of OpenAI's ChatGPT, has triggered a rush of investments into AI start-ups, with billions being funneled into the sector. This surge in funding has propelled technology companies to new heights, influencing global stock market trends. However, this has also attracted regulatory scrutiny to ensure that the claims made by companies align with their actual AI capabilities, to prevent misinformation and \"AI washing.\" DeepMind's commitment to leveraging AI for scientific exploration and its potential to revolutionize various domains, from biology to material science, underscores Hassabis's vision for AI as a pivotal tool in scientific discovery. The conversation around AI's future, particularly in achieving AGI, continues to be a mix of anticipation and caution, with Hassabis advocating for a balanced and scientifically rigorous approach to its development, ensuring its benefits are maximized while mitigating potential risks." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for 🤖 Transcript to LinkedIn Posts Converter from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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