Google’s Gemini AI is getting a bigger role across Docs, Sheets, and Slides - The Verge
<a href="https://news.google.com/rss/articles/CBMiiAFBVV95cUxPMHdiN2dqSUwyNDlzaVRCU1RUSW1iYnZZdmgxVXJtUm9JR2pqbE5LQ3V3eWRZV3htREYwNDMwaThfYVd2RjhhQUZqZWRtVHd3aFhuOFRZMDNRbGQwUmFMTm0wckpLMThLTlZyU2RlX1ZfaGI2WThSMVEtLU9qZXlPSS11dzREUnBv?oc=5" target="_blank">Google’s Gemini AI is getting a bigger role across Docs, Sheets, and Slides</a> <font color="#6f6f6f">The Verge</font>
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Qodo vs Tabnine: AI Coding Assistants Compared (2026)
Quick Verdict Qodo and Tabnine address genuinely different problems. Qodo is a code quality specialist - its entire platform is built around making PRs better through automated review and test generation. Tabnine is a privacy-first code assistant - its entire platform is built around delivering AI coding help in environments where data sovereignty cannot be compromised. Choose Qodo if: your team needs the deepest available AI PR review, you want automated test generation that proactively closes coverage gaps, you use GitLab or Azure DevOps alongside GitHub, or you want the open-source transparency of PR-Agent as your review foundation. Choose Tabnine if: your team needs AI code completion as a primary feature, your organization requires on-premise or fully air-gapped deployment with battle

Gemma 4 just casually destroyed every model on our leaderboard except Opus 4.6 and GPT-5.2. 31B params, $0.20/run
Tested Gemma 4 (31B) on our benchmark. Genuinely did not expect this. 100% survival, 5 out of 5 runs profitable, +1,144% median ROI. At $0.20 per run. It outperforms GPT-5.2 ($4.43/run), Gemini 3 Pro ($2.95/run), Sonnet 4.6 ($7.90/run), and absolutely destroys every Chinese open-source model we've tested — Qwen 3.5 397B, Qwen 3.5 9B, DeepSeek V3.2, GLM-5. None of them even survive consistently. The only model that beats Gemma 4 is Opus 4.6 at $36 per run. That's 180× more expensive. 31 billion parameters. Twenty cents. We double-checked the config, the prompt, the model ID — everything is identical to every other model on the leaderboard. Same seed, same tools, same simulation. It's just genuinely this good. Strongly recommend trying it for your agentic workflows. We've tested 22 models so

Dark Dish Lab: A Cursed Recipe Generator
What I Built Dark Dish Lab is a tiny, delightfully useless web app that generates cursed food or drink recipes. You pick: Hated ingredients Flavor chaos (salty / sweet / spicy / sour) Then it generates a short “recipe” with a horror score, a few steps, and a warning. It solves no real-world problem. It only creates regret. Demo YouTube demo Code GitHub repo How I Built It Frontend: React (Vite) Ingredient + flavor selection UI Calls backend API and renders the generated result Backend: Spring Boot (Java 17) POST /api/generate endpoint Generates a short recipe text and returns JSON Optional AI: Google Gemini API If AI is enabled and a key is provided, it asks Gemini for a very short recipe format If AI is disabled or fails, it falls back to a non-AI generator Notes Only Unicode emojis are u
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