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How to Edit NotebookLM Slides [September 2026]: Why You Can't Fix the Text Even in PPTX, and Five Methods by What You Need to Change

NotebookLM (renamed Gemini Notebook in July 2026) produces slide decks that are "a single picture with text in it", drawn by the image generation model Nano Banana Pro. Whether you export to PDF or PowerPoint (PPTX), each slide goes in as an image, and export to Google Slides is still not available as of September. This article confirms from Google's official help that the official Revise feature rebuilds the entire slide deck every time and does not consult your sources during revisions, then sets out five methods you can choose by what you want to fix: giving instructions with Revise; laying corrections over the top in PowerPoint; conversion tools that use OCR to turn slides back into a PPTX with editable text (comparing pricing and data handling for NoteSlide, Kirigami, DeckEdit, CopySlides and Swift-Slide); redrawing the slide as an image with Nano Banana; and rebuilding it as an editable deck with tools such as GAMMA or Irusiru. It also covers caveats such as Canva's Grab Text not working on Japanese slides, the compute-based limits in place since 2 September, and how watermarks are handled.

How to Edit NotebookLM Slides [September 2026]: Why You Can't Fix the Text Even in PPTX, and Five Methods by What You Need to Change

What Jev Is [September 2026]: The AI That Generates No Text — How System One Models Work, Pricing and Use Cases

On 15 September 2026, TypeSafe AI came out of two years of stealth with $40M in funding and shipped Jev — and it spread past social media into developer communities, with Qiita running an official campaign from 16 September to 2 October. What caught on was not the benchmarks but the positioning: an AI that does not generate text. Jev does not chat; it picks from options you defined and returns the answer with a probability attached. This article covers what the three question types (Choice, Score, Noul) actually return, the speculative fan-out that makes stacking questions free in latency, the pricing model of $0.042 per million input tokens with output free, the path from waitlist to Python SDK, HTTP API and the Claude Code skill, how to gate on confidence and route the uncertain cases to a person, and where it pays off — support triage, LLM guardrails, RAG re-ranking. It also covers what TypeSafe publishes about its own weak spots: lower accuracy on CJK scripts, unreliable counting, and weak date comparison.

What Jev Is [September 2026]: The AI That Generates No Text — How System One Models Work, Pricing and Use Cases

What GPT-6 Astra Is [September 2026]: Which ChatGPT Plans Include It, API Pricing, and How to Split Work with GPT-5.6

GPT-6 Astra, announced by OpenAI on 3 September 2026 (US time), is a flagship tuned for computer use and long, multi-step work, true to the pitch that it "can do anything a person can do on a computer." It scores 72.6% on OSWorld 2.0, and time per task drops 47% from GPT-5.6 Sol's roughly 75 minutes to roughly 40. This article checks what changed against the benchmarks, then lays out where each ChatGPT plan can use it (Pro at ¥16,800 / ¥30,000, Business and Enterprise get "GPT-6 Pro" in Chat; Plus at ¥3,000 gets it through ChatGPT Work and Codex; Free and Go do not), the caps such as 50 or 200 messages a week, API pricing ($10 input / $50 output, 2.5x Sol) and how to split work with Sol, Terra and Luna, and the behaviour changes on switching (more clarifying questions, more sensitivity to skill files), based on OpenAI's announcement, Help Center and model page.

What GPT-6 Astra Is [September 2026]: Which ChatGPT Plans Include It, API Pricing, and How to Split Work with GPT-5.6
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