AI girlfriend monetization: lessons and guardrails from the Miss Shira Always experiment

A pickup‑artist packaged an AI “girlfriend” and put it on sale. For business leaders, that’s both a revenue experiment and a regulatory canary. According to Wired (Miles Klee, Jul 8, 2026), Erik von Markovik, known as Mystery from Neil Strauss’ 2005 book The Game, posted an AI‑animated clip to Instagram on June 17, 2026 introducing […]

LingBot‑Vision: Open‑source 1.1B ViT that learns edges first with masked boundary modeling

Robbyant open‑sources LingBot‑Vision: a 1.1B ViT that learns edges first Robbyant, the embodied‑AI team inside Ant Group, has published LingBot‑Vision, a family of self‑supervised Vision Transformer encoders trained to prioritize dense spatial structure (contours, boundaries, depth discontinuities). The flagship ViT‑g/16 is roughly 1.1 billion parameters. Robbyant released model weights and inference code under the Apache‑2.0 […]

Sony Bravia 9 II: True RGB boosts HDR brightness and audio, but blacks and VRR still lag

A week with Sony’s Bravia 9 II: True RGB finally makes HDR pop, but not without caveats Quick verdict: Sony pushed peak brightness and color saturation with its new Micro RGB (True RGB) flagship, and the results are visually striking in bright-room HDR. Reviewers praise color fidelity and unusually strong built-in audio, but gaming behavior […]

Amazon QuickSight multi-dataset relationships: practical data modeling, RLS, and refresh patterns

Data modeling patterns for Amazon QuickSight multi-dataset relationships Historically many BI teams flattened schemas into large denormalized tables so dashboards could GROUP BY and filter without joins. That made queries simpler, and ETL painfully heavy, refresh windows long, and maintenance brittle. Amazon QuickSight’s Multi‑Dataset Relationships lets you model facts and dimensions separately and declare relationships […]

Amazon Quick Chat Multi‑Dataset Topic Best Practices: Document Grain, Keys, Joins, RLS, and Tests

Multi-dataset Topic best practices for Amazon Quick Chat TL;DR for BI leaders: If you need deterministic, auditable reports, choose defined-relationship Topics. If you want flexible natural-language exploration, use semantic (Chat) Topics. Hybrid Topics mix both. The single highest-impact action: document each dataset’s grain, primary/foreign keys, and business rules before you publish a Topic. Why this […]

OpenAI Realtime Models: Single-Model Voice, Lower p95 Latency, and Cheaper Mini Reasoning

OpenAI’s realtime update: single-model voice, lower tail latency, and a cheaper “mini” thinking layer OpenAI’s new realtime models, “gpt-realtime-2.1 and gpt-realtime-2.1-mini.”, let a single model handle live audio in and out, cutting round-trip time compared with chaining speech-to-text (STT) → LLM → TTS. For businesses that need natural, interruptible voice agents, this reduces latency and […]

Tencent Hy3: 295B MoE, 256K‑Token Context for Long‑Document and Agent Workloads

If you need a model that can hold entire contracts, multi-document pipelines, or long agent histories in one session, Tencent’s Hy3 is worth evaluating. Tencent’s Hy research team has published Hy3, a 295-billion-parameter Mixture‑of‑Experts (MoE) language model. They report it can handle a 256K‑token context and activate up to 21 billion parameters per token (top‑8 […]

Selective unlearning in Amazon Nova: rDPO and LoRA adapters, risks and operational controls

Teaching models to forget: Selective unlearning with Amazon Nova Post-training safety alignment can produce “deflection”, models that refuse legitimate business queries. Amazon’s Customizable Content Moderation Settings (CCMS) combined with a preference-based unlearning method called Reverse Direct Preference Optimization (rDPO) promise a way to relax specific refusals for approved customers without changing base model weights (see […]