iFeeling Daily
Daily curated AI insights you can't miss.
Real World VoiceEQ: Benchmarking the Human Quality of Voice AI
Hume's Real World VoiceEQ benchmark, built from over 1 million human ratings, reveals that traditional voice AI metrics overestimate real-world performance. Models excel at speaking but struggle with listening—missing tone, hesitation, and emotion. The findings challenge the idea of a single best voice model, urging builders to prioritize human-grounded evaluation for real conversational quality.
Anthropic Launches Claude for Teachers for K-12 Educators
Anthropic launches Claude for Teachers, a free tool for US K-12 educators that connects to state standards and curricula, automates lesson planning and differentiation, and protects student data with FERPA-compliant terms. It's a thoughtful example of AI designed to support teachers rather than replace them.
Zoom Name Change Hack to Block AI Transcription
VC Jeremy Levine changes his Zoom name to include a consent statement, highlighting the growing tension between always-on AI transcription apps and personal privacy in professional and social settings. The piece raises questions about the real value of recording every conversation.
Apple’s lawsuit threatens OpenAI’s IPO and hardware ambitions
Apple's trade secrets lawsuit against OpenAI, alleging misconduct and claiming over 400 former Apple employees now work there, threatens the company's IPO timeline. The podcast episode also explores broader data-trust concerns, with Microsoft CEO Satya Nadella warning enterprises about handing data to AI labs.
How data science teams use ChatGPT Work to ship analysis faster
ChatGPT Work helps data science teams turn scattered inputs — dashboards, metric definitions, experiment notes, and exports — into a review-ready first draft with charts, caveats, and source links, so the team can focus on validation instead of assembly.
Former DeepMind researcher raises $55M at $300M valuation for visual AI startup
Andrew Dai left DeepMind to build visual AI models for AGI, then raised a $55 million seed round at a $300 million valuation before shipping a product. This podcast breaks down how he chose strategic partners like Nvidia and Menlo Ventures over higher offers, why speed is his biggest moat, and how startups can recruit top researchers away from Big Tech.
Moonshot’s Kimi K3 to Challenge Anthropic’s Opus 4.8 as Open-Source Gap Narrows
Moonshot's upcoming Kimi K3, with 2-3 trillion parameters, is expected to rival Anthropic's Opus 4.8, intensifying the debate on whether to invest in expensive proprietary models or adopt open-source alternatives from Chinese labs.
Why AMI Labs’ CEO won’t call his AI ‘AGI’ or ‘superintelligence’
Alexandre LeBrun refuses to call his company's work AGI or superintelligence, arguing the terms are undefined and deflect from the real problem: AI's inability to understand the physical world. His approach at AMI Labs is to build world models that predict the next state of reality, not the next token, and to partner with industrial Asia rather than chase marketing labels.
RL with Verifiable Rewards, Where the Verifier Is a Wet Lab
Lila Sciences treats the wet lab as a verifier in an RL loop, generating 10 trillion experimental tokens to train a single generalist model across biology, chemistry, and materials. The lab becomes a data center, not a product factory — and the counterintuitive result is that breadth across sciences yields better model depth than narrow specialization.