4.4 out of 5 stars
(182 Ratings)
Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands.
At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world.
You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work.
LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.
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5.0 out of 5 stars
(111 Ratings)
Canditech empowers HR professionals and hiring managers to make fast, confident and objective hiring decisions. It's all-in-one testing platform evaluates both technical and soft skills through job simulation assessments that cover a variety of tasks, including coding, SQL, Excel, open text, email communication, and video. These tests are the best predictors of future job suitability and performance.
The platform's holistic approach allows recruiters and hiring managers the ability to objectively assess candidates for any position within the company (R&D and Data, Marketing, Sales and Customer Success, Technical Support, Technical Support, etc.). You can also assess your technical skills (codes, SQL, Excel, etc.). Along with soft skills (using video questions and email communication), it gives candidates a fair chance of showcasing their talents, creating a great candidate experience.
The platform offers significant ROI from day one:
✅ Shorten time-to-hire by 50%
✅ Reduce unnecessary interviews by 80%
✅ Increase hiring diversity and eliminate bias
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GPT-6.1 Terra
5.0 out of 5 stars
(1 Rating)
GPT-6.1 Terra is a multimodal reasoning and computer-use model developed by OpenAI to support visual analysis, software engineering, writing, and automated professional workflows. The model processes text and image inputs and generates text outputs, enabling applications that require understanding visual information and executing actions in software interfaces. Its computer-use capabilities allow AI agents to interact with desktop applications, complete forms, interpret technical drawings, and perform multistep tasks across graphical environments. GPT-6.1 Terra provides a 1,050,000-token context window and supports outputs of up to 128,000 tokens for processing extensive documents and complex task instructions. Its reasoning effort can be configured across none, low, medium, high, xhigh, and max settings to balance computational effort, response speed, and task complexity. Software development capabilities include code generation, debugging, command-line problem-solving, and automated execution of technical workflows. The model supports function calling, structured outputs, web search, file search, code interpretation, computer use, and Model Context Protocol integrations through the OpenAI Responses API. Compared with GPT-5.6 Terra, the model provides improved visual reasoning, coding performance, factual accuracy, and computer-use capabilities while reducing standard API token prices by 50%. GPT-6.1 Terra is available in ChatGPT Work, Codex, and the OpenAI API, with standard pricing of $1 per million input tokens and $5 per million output tokens.
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Claude Fable 5.2
5.0 out of 5 stars
(1 Rating)
Claude Fable 5.2 is a frontier artificial intelligence model developed by Anthropic for advanced reasoning, autonomous software development, scientific discovery, and complex professional workflows. The model improves on Claude Fable 5.1 with stronger performance in programming, visual analysis, mathematical problem-solving, and agent-driven task execution. Its software engineering capabilities support large-scale codebase analysis, feature implementation, debugging, performance optimization, automated testing, and complex software migrations. Claude Fable 5.2 can coordinate multiple AI agents to complete long-running engineering projects and delegate simpler operations to smaller language models. The model also supports scientific research, hardware design, robotics-related reasoning, data analysis, and technical investigations that require iterative experimentation and evaluation. Configurable reasoning effort allows developers to balance computational cost, response time, and problem-solving depth according to task requirements. Anthropic reports a 49.1% score on FrontierCode 2.0, 69.9% on FrontierSWE v2, and 74.2% on Humanity's Last Exam with tools. Claude Fable 5.2 generates output up to 30% faster than its predecessor and offers an optional fast mode with up to 2.5 times faster generation, alongside safeguards for high-risk cybersecurity and biological research. The model is available through Claude applications, Claude Code, Anthropic's API, Amazon Web Services, Google Cloud, and Microsoft Azure, with standard API pricing of $8 per million input tokens and $40 per million output tokens.
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