Etched Raises $500M to Build a Dedicated Inference Chip

GPT-5.6 Sol Tested: Coding Engine or Creative Tool

OpenAI's GPT-5.6 Sol and its Sol Ultra sibling just launched as the company's flagship reasoning-and-code models — but nearly every performance number comes straight from OpenAI's own preview data. Trip Wire and Jack Lock break down what the agentic architecture actually does, where independent reviewers diverged from the vendor chart, and why the model's 1.0 content-publishing score tells most creatives everything they need to know.

Etched Raises $500M to Build a Dedicated Inference Chip

Etched is a chip startup that raised $800 million on a simple but radical premise: you can't fix AI inference by swapping one part. This episode traces how three Harvard dropouts went from a 30-page memo that every investor passed on to a five-billion-dollar company with over a billion dollars in signed contracts before shipping a single rack.

OpenAI DeployCo's $4 Billion AI Deployment Bet

OpenAI's new venture, the OpenAI Deployment Company, is placing engineers directly inside client businesses to wire AI into real workflows — and it launched with four billion dollars and a guest list that includes McKinsey. This episode looks at what DeployCo is, how it acquired London-based Tomoro to build its forward-deployed workforce, and what it reveals about where the actual bottleneck in enterprise AI sits.

v0 plus Figma plus Cursor: interactive prototype shipped in one afternoon

v0 built a contacts table with search and a modal in three minutes flat, then took fifty more to wire up anything that actually makes it a product. That ratio is the whole game: AI scaffolding is instant, but brand decisions, interaction bugs, and demo-path triage do not compress at the same rate. The founders closing rooms on Monday are the ones who made their design decisions before the first prompt, not the ones who delegated them to the tools and tried to recover later.

ElevenLabs v3 vs Cartesia: where narrator grade breaks in long form

ElevenLabs v3 vs Cartesia Sonic 3.5 is the AI voice showdown every podcast producer needs to know about right now, and the timing could not be more lopsided: one model has three months of real creative testing behind it, the other launched two days ago. For a ten-minute two-voice episode, v3 wins today because its inline Audio Tags and Text to Dialogue API actually solve the character differentiation problem at the script level, but Sonic 3.5 has one specific threat: if its voice drift fix holds for narrative audio the way it holds for outbound call centers, the gap closes fast. Neither tool survives paragraph four of grief, and any producer who does not know that going in is going to find out the hard way at the edit stage.