Runway’s Aleph Model Makes Mind-blowing Video FX

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Good morning. It’s Wednesday, July thirtieth.

On today in tech history: In 2001Bernhard Schölkopf and collaborators popularized the kernel trick for support vector machines of their influential book “Learning with Kernels.” This mathematical technique let SVMs handle complex, nonlinear relationships by implicitly mapping data into high-dimensional spaces without ever computing those coordinates directly. This led to kernel PCA and kernel regression, tools that became widely utilized in machine learning before deep learning took over.

  • Runway’s Aleph AI Video FX

  • OpenAI’s Study Mode

  • NotebookLM’s Video Overview

  • IdeoGram Nails Character Consistency

  • 5 Latest AI Tools

  • Latest AI Research Papers

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Today’s trending AI news stories

Runway’s Aleph model upgrades real footage with AI precision

Runway’s latest Aleph model flips AI video editing on its head: as a substitute of generating clips from scratch, it lets filmmakers reshape real footage with text prompts. Need a latest medium close-up? Aleph can create fresh camera angles. Runway calls it “infinite coverage.” Have to add rain, remove smoke, or shift the time of day? Lighting adapts robotically to maintain it seamless. Aleph digs even deeper: it may well age characters, recolor props, generate green screen masks, and transfer motion from live video to stills. The result is quicker, granular control over post-production that normally eats up budgets and time.

Currently limited to Enterprise and Creative Partners (with Lionsgate already testing it), Aleph reflects an even bigger shift: AI tools evolving into multi-function post-production suites. Competitors like Google’s Veo 3 and OpenAI are following, but Runway’s strength lies in its polished interface and tight integration built for demanding film workflows. Read more.

OpenAI’s Study Mode turns ChatGPT into an adaptive tutor

OpenAI has launched Study Mode for ChatGPT, moving it from quick‑answer bot to interactive learning assistant. As a substitute of handing out direct answers, it guides users with targeted hints, reflection prompts, and adaptive quizzes, built on learning science principles like metacognition and curiosity‑driven exploration. Complex topics get broken into digestible steps, and the tool adjusts in real‑time to every user’s skill level. Study Mode is offered now on ChatGPT Free, Plus, Pro, and Team.

Currently, the feature runs via external system instructions, meaning quality may vary, but OpenAI plans deeper model‑level integration, visual explanations, and personalized progress tracking. OpenAI can also be partnering with Stanford’s SCALE Initiative to measure its real‑world educational impact.

Beyond structured tasks, OpenAI’s rumored GPT‑5 model briefly turned heads internally by piloting itself through Minecraft with near one‑shot competence. The agent’s short-lived experiment hinted at what might come next: large-scale models moving beyond static dialogue into creative, open‑world environments, combining reasoning, planning, and real‑time decision making. Read more.

Google’s NotebookLM adds ‘Video Overviews’ for multimodal research

Google is ramping up its generative AI portfolio with major updates across Vertex AI, Search, and NotebookLM. Veo 3 and Veo 3 Fast at the moment are fully available on Vertex AI, giving enterprises high-definition video generation with native audio, precise lip-sync, and multilingual support. In August, each models will add image-to-video generation, turning static visuals into 8-second animated clips from easy text prompts.

Early adopters like Canva and eToro are using Veo to hurry production, localize ads, and create cinematic content at scale – secured with SynthID watermarking and covered by Google’s AI indemnity.

In Search, Google’s AI Mode now accepts PDFs and pictures for context-aware answers, offers real-time camera-based queries via Search Live, and introduces Canvas to construct living study plans that evolve across sessions. Chrome gains an “Ask Google about this page” shortcut for immediate AI insights.

NotebookLM also steps up: its latest Video Overviews modify user notes into narrated slideshows enriched with visuals, charts, and quotes, turning dense material into accessible, AI-generated video summaries. Read more.

Ideogram Character nails consistent AI characters from a single image

Ideogram has unveiled Ideogram Character, the primary AI model to deliver character consistency from only a single reference image, now free on ideogram.ai and the iOS app. Creators can craft real or fictional characters that stay visually coherent across countless scenes, using curated templates or custom prompts.

You possibly can mix it into existing tools for serious creative control: use Magic Fill to drop your character into any latest scene, or tap Describe and Remix to capture and transfer specific styles from inspiration images. It even auto-generates a personality mask (face, hair, clothing, or props) so you’ll be able to fine-tune exactly what defines your character’s look.

Beyond just style, this solves an actual headache in generative design: believable, repeatable character visuals that stay true shot after shot. Ideogram Character finally keeps your creations consistent. [Read more.]

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