01
Bloomberg Technology ↗
Fal, an AI inference startup that hosts image, video and audio models for creators and developers, has doubled its valuation to $16 billion in a new round of funding. Bessemer Venture Partners, an existing investor, led a $1.3 billion financing round in the startup in October, Fal is set to announce Tuesday. Other investors include Nvidia Corp., Sound Ventures, HOF Capital and T. Rowe Price Associates Inc. Fal previously raised $350 million in a Sequoia-led round in April at an $8 billion valuati
02
TechCrunch AI ↗
OpenAI’s Chris Lehane wants AI to define the 2028 election, proposing a new social contract that could benefit Americans while also advancing the AI giant’s own business interests.
03
Bloomberg Technology ↗
Goldman Sachs Group Inc. and Apollo Global Management Inc. are in talks with Wall Street investors to start selling portions of a roughly $40 billion chip financing deal for SpaceX, just as the AI boom braces for upheaval following a sweeping Democratic victory.
04
TechCrunch AI ↗
Open source models are becoming more mainstream as enterprises, governments and startups alike rely on the promise of lower costs, more control, and more flexibility. But as increasingly capable models become more freely available, how do companies capture value? And with Chinese open models gaining ground, can American players keep up? On this episode of […]
05
VentureBeat AI ↗
LiveX Unveils AI City - Bringing Physical AI to Everyday Spaces with NVIDIA VentureBeat
06
The Verge ↗
AT&T's smart home security system now integrates with Gemini for Home. The company says its Connected Life system is the "first" home security product to integrate with Google Home Premium, enabling a bunch of Gemini-powered features that can summarize home events, search your video history, and more. With the update, Gemini for Home can provide […]
07
VentureBeat AI ↗
When AI agents agree on the data but not what it means VentureBeat
08
TechMeme ↗
Murad Hemmadi / Globe and Mail: Filing: AMD will pay ~$2.9B in cash and stock for AI chip startup Taalas, with $1.4B dependent on unspecified conditions; the deal was announced in August — Advanced Micro Devices Inc. AMD-Q said Wednesday that it will pay about US$2.9-billion for Toronto-based semiconductor startup Taalas Inc. …
09
Hacker News ↗
Hi HN! I'm Luke from Kino (https://kino.ai). Kino lets you make great videos with your agents and your teammates. Storage of footage and assets, a rich video editor, and review links for teammates are all bundled into one. Your colleagues and Codex / Claude Code can work on the same timeline with review notes and footage all in one place. See a basic overview at https://kino.ai/walkthrough-video and our launch video (made entirely with Kino!) at https://kino.ai/launch-videoOpus 5.5 can edit videos and make great motion graphics now. But with a raw agent harness, you need to describe tiny edits either in words or in quick one-off UIs, you can’t refer to footage shared across your devices, and feedback from teammates comes as screenshots on Slack. Kino is code-first. All editing, all motion graphics, all dragging of timeline items around, all teammate comments, and all 3D scenes are expressed as code, built on Remotion. This was hard to get right, as we found ourselves building a what-you-see-is-what-you-get editor for React, which we then turned into a video editor. For our launch video I told Claude-with-Kino to find a macOS Leopard install disk and reskin our whole video to match. Kino is also fully collaborative and real-time, so you can see your teammates' cursors and exactly which part of the timeline they’re currently watching. For our launch video I had 5+ agents editing the timeline concurrently while my friend Donald had his swarm working a few minutes further down. Don...
10
arXiv ↗
For a decade, progress in artificial intelligence has been measured by how much a machine can do on its own. Large foundation models now write code and run multistep tasks, and personal agents act on a person's behalf. Yet people still forget what they once knew, miss what they are not looking at, fail to find the right words, and face hard choices without the benefit of their own history, because the machine that could help stands outside the situation. As AI moves into the physical world, attention has settled on one kind of intelligent individual, the embodied robot; we argue that the era of Physical AI holds a second kind of equal importance, the person augmented by AI. Alongside artificial general intelligence, which asks how intelligent a machine can be, stands AI-augmented human intelligence (AHI), which asks how much intelligence a machine can enable in a particular person. Realizing it calls for a new kind of system, a cognitive symbiont: a lifelong, embedded, real-time, private, low-friction, and proactive companion that senses what the person senses through external devices, keeps their context across years, models their situation and their mind, takes part in their thinking at the right moment, carries out everyday tasks with their context, and keeps learning the person as both change. We give the paradigm a conceptual core, the cognitive gap between what a person could bring to a situation and what they can hold in working memory, and organize its design space as...