Sep 10, 2025 6 min read Daily Rundown

🛎️ Screen-Watching AI

Plus: OpenAI Don't Know, Apple Ghosts AI

Good Morning, AI Enthusiasts!

The places we expected the loudest declarations about the future, there’s an uncanny quiet.

NEW THINGS

Stanford Dropout Just Nuked the Analytics Playbook

📌 What’s happening: Human Behavior, a startup led by 20-year-olds, raised $5M in 48 hours by ripping out the guts of Mixpanel-style tracking. Instead of event tags and dashboards, their AI literally “watches” user sessions, parses intent, and spits out why customers rage-quit—something clickstream data has never managed.

🧠 How this hits reality: This torpedoes the old split between dashboards (big data, no context) and session replays (context, no scale). If AI can automate both, engineers stop wasting weeks wiring tracking pixels, PMs stop drowning in heatmaps, and incumbents face a moat-draining collapse. “Behavioral intelligence” becomes a default layer, not a luxury.

🛎️ Key takeaway: Forget counting clicks—Human Behavior turned product analytics into surveillance with consent, and the industry’s defenses look paper-thin.

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TRAINING

OpenAI’s Cure for Hallucinations: Teach Models to Say “I Don’t Know”

📌 What’s happening: In their joint paper with Georgia Tech, Why Language Models Hallucinate (Sept 2025), OpenAI stops framing hallucinations as bugs and calls them statistical destiny. The proposed fix isn’t more data or model size, but a change in rules: rewire benchmarks so “I don’t know” is rewarded instead of punished. By introducing confidence thresholds and calibrating behavior, models can stop bluffing when they’re uncertain.

🧠 How this hits reality: If adopted, this rewrites the AI training economy. Current evals (MMLU, GPQA, SWE-bench) are binary—forcing overconfident guesses that bleed into products. Enterprises selling “trustworthy AI” will need new pipelines, metrics, and budgets for calibration. The catch: incentives across academia, vendors, and VC have all been tied to leaderboard wins. Convincing the ecosystem to embrace “IDK” over accuracy porn may prove harder than patching the models themselves.

🛎️ Key takeaway: OpenAI’s fix for hallucinations is brutally simple: change the exam rules. But getting an industry hooked on inflated scores to admit ignorance may be the hardest hallucination to break.

NEW LAUNCH

Apple Ghosts AI at iPhone 17 Show — Silicon Over Sizzle

📌 What’s happening: Apple’s iPhone 17 launch spent more time on batteries, chips, and watch sensors than on “Apple Intelligence.” Last year’s AI bravado was replaced by quiet mentions of background neural engines, local models, and health studies. Meanwhile, rivals Google and Samsung flaunt agentic AI assistants front-stage.

🧠 How this hits reality: For developers and investors, this is Apple blinking in the AI arms race. With OpenAI, Anthropic, and Meta burning billions, Apple’s refusal to center AI tools signals one thing: Cupertino is hedging, not leading. Teams betting on Apple as an AI platform may need a backup plan — especially as talent defects to Meta and OpenAI.

🛎️ Key takeaway: When everyone else builds front-end AI moats, Apple is still polishing the back-end mirrors.

QUICK HITS

An AI-animated feature film is being produced with OpenAI's tools on a fraction of a typical budget, fueling Hollywood's debate on the technology.
The UAE's new K2 Think AI model, built on Alibaba's Qwen 2.5, aims to rival OpenAI and DeepSeek with high efficiency and an open-source approach.
Microsoft is buying AI services from rival Anthropic to lessen its reliance on OpenAI for Office 365 applications.
Researchers developed photonic chips that train physical neural networks using light, cutting energy use and boosting efficiency to enable more sustainable, real-time AI.
Flowtica has launched the smart pen Scribe, which can turn meeting doodles and notes into emails and summaries, opening up a new AI application scenario.

TRENDING

Daily AI Launches

CREAO has launched a platform that lets anyone build custom AI apps with a built-in copilot using natural language.
YouMind has launched a platform that supports the entire creative process, helping anyone turn an initial idea into a polished piece of content.
Empromptu has launched a no-code platform that uses a conversational builder and powerful agents to build full-stack, AI-native apps in minutes.
Ona (formerly Gitpod) has launched a team of AI software engineering agents that work in a collaborative, cloud-based VS Code environment accessible on any device.

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