Simile AI, described in a podcast about a new scaling law for simulation, presented funding and research aimed at recreating human behavior using large numbers of simulations and digital twins for clients. Simile AI reported a $2B Series B round, with claims of 85% accuracy versus human focus groups. The work shifts evaluation from predicting outputs to simulating how people decide, using post-training on causal mechanisms and scaled synthetic populations for product and policy testing.
Balaji Ingole, an IEEE senior member, is developing AI tools for B2B e-commerce work at Amla Commerce while also researching and publishing AI-enabled health technologies. The article says Amla’s AI agent aims to cut e-commerce product setup from two to three months to two weeks. As a result, manufacturers can set up large product catalogs with step-by-step chatbot guidance and project managers can use an email-reading AI agent to generate weekly status reports faster.
Jinguyuan, a dumpling shop in Beijing, drew headlines after releasing an AI agent “skill” that lets customers order, get recommendations, and join the queue by talking to their AI assistants. The owner Li Bo said he built the skill in April, and in July partnered with an AI cloud provider to give each customer a 10 yuan token coupon toward model subscriptions. The shop’s marketing shifts toward demonstrating agentic AI adoption despite Li acknowledging the skill gets more media attention than everyday use.
Google DeepMind described its partnership approach to prototyping AI-powered gameplay experiences with game developers, building on its past use of games for AI research. The article cites a collaboration with Fenris Creations focused on EVE Online, which launched in 2003. The work shifts from AI that masters specific games to agent systems like SIMA that can understand and act in existing game worlds via natural language and typical controls, with longer-term plans to test agents offline before moving toward live EVE environments.
The article argues that AI productivity tools are overhyped and that most are likely to fail despite triple-digit evaluations over the last 12 months. It estimates about $1TR in net new AI ecosystem revenue was added since ChatGPT launched in November 2022, but says much of that revenue is risky and vulnerable to open-source, new chip entrants, and model-driven applications. As a result, it recommends shifting investment toward a smaller set of tools creating meaningful new value, especially autonomy-focused systems and AI for science and defense rather than standalone productivity apps.
ShogunAI is presented as a personal AGI experience that runs on a user’s PC. The concrete claim is that it runs “on your PC.” The only change indicated is that it’s offered via a discussion/link page, with no verifiable technical or performance details provided.
DeepSWE head-to-head testing compared GLM-5.3 and GPT-5.6 Sol, then built a two-model cascade that routes from GLM-5.3 to Sol when tests fail. The cascade solved 85.9% of tasks at $6.61 per task, beating Sol alone at 72.7% and $8.37 per task. Deployments should start with GLM-5.3 as the lower-cost first pass and escalate to Sol via verification to improve solve rate for less money.
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