Google / Gemini

Google released Gemma 4 in four variants—E2B, E4B, 26B MoE, and 31B Dense—targeting phones, edge devices, and up to single-H100 workstations. The RSS snippet says the 26B MoE activates 3.8B parameters and adds native function calling, JSON output, multimodal I/O, speech-to-text, and Apache 2.0 licensing; the post does not disclose benchmarks, context length, or rollout details.

Google released the Gemma 4 family and switched the full line to Apache 2.0. The post says it includes 31B Dense, 26B MoE, E4B, and E2B; 31B and 26B support 256K context, and 31B fits on one 80GB H100. The key change is distribution terms: fewer limits on commercial use, modification, and redistribution, plus native function calling and structured JSON for agent workflows.

Google DeepMind released Gemma 4, which it calls its most intelligent open model yet, aimed at advanced reasoning and agentic workflows under an Apache 2.0 license. The family comes in four sizes: E2B, E4B, 26B MoE and 31B Dense. The 31B ranks 3rd among open models on the Arena AI text leaderboard, and the 26B ranks 6th.

Microsoft said it blocked $4 billion in scams and fraudulent transactions in the year to April 2025, with many likely aided by AI-generated content. The article cites research estimating at least half of spam email is now LLM-generated, and LLM use in targeted email attacks rose from 7.6% in April 2024 to 14% in April 2025. Don’t overread “fully automated AI hackers”: the immediate issue is AI scaling phishing, deepfakes, and malware support, while the post does not disclose total attack growth.

MIT Technology Review says the US Department of Homeland Security has confirmed using Google and Adobe AI video generators for public-facing content, reported last Thursday. The post cites two failure points: Adobe auto-labels only fully AI-made content, mixed edits are opt-in, and X can remove or hide labels. The key issue is influence after exposure: a new Communications Psychology paper found participants still used a fake confession deepfake to judge guilt even after being told it was fake.

A DHS document says the agency uses Google Veo 3, Google Flow, and Adobe Firefly for public-facing content, with an estimated 100 to 1,000 licenses. It also says DHS uses Microsoft Copilot Chat for drafting and summarization and Poolside for coding; the post does not disclose which specific videos used which tool. The key point for practitioners is that commercial video generators are now inside a federal public-communications workflow, while watermark retention and attribution remain unverifiable across platforms.

Google launched Personal Intelligence this month, letting Gemini use Gmail, Photos, Search, and YouTube history for personalization. The piece says OpenAI, Anthropic, and Meta are adding memory too, but current designs often pool cross-context data into one repository, increasing privacy and misuse risks. The key issue is memory architecture: segmentation, provenance tracking, user edit/delete controls, and privacy-preserving evaluation.

OpenAI previewed ChatGPT Pulse for Pro users on mobile on September 25, 2025, with one daily proactive research update. It uses memory, chat history, feedback, and optional Gmail and Google Calendar connections to generate visual cards; integrations are off by default and outputs pass safety checks. The shift to async delivery matters more than the headline, but the post does not disclose the model, pricing changes, or a Plus launch date.

Google announced an open LLM called Gemma 3 and named three traits in the title: multimodal, multilingual, and long context. The RSS snippet has no body, so parameter size, context length, license, and benchmark results are not disclosed. Watch the full post or model card; “open” does not equal open source from the title alone.

OpenAI disclosed in a February 2025 threat report that it banned dozens of accounts tied to a deceptive employment scheme. The accounts used its models to generate fake résumés, fake references, and real-time interview answers to land remote jobs at Western companies. The tactics match what Microsoft and Google previously attributed to North Korean IT-worker fraud, though OpenAI says it cannot confirm the actors' locations or nationalities. Once hired, they kept using the models for coding tasks and to invent cover stories for skipping video calls.