The 'SaaSpocalypse' is over. How Salesforce now plans to thrive in an AI world The "SaaSpocalypse" may be over, but so too may be a business model adored by Wall Street.

Crusoe is changing the future of Neo Clouds. Editor’s Note: AI Evolution is a new series I’m doing that goes out at 12:00 PM Eastern Time, with a…

AI Anthropic's AI biology lab makes its first find PLUS: Your go-to guy lives in the browser Good morning, AI enthusiasts, and welcome to our 7,336 new readers. Claude spent less than 24 hours sifting through DNA data.

We’re building personal AI agents for everyone and a whole family of devices that let you connect with them from anywhere.

Automating coherent long-form video generation Automating coherent long-form video generation Yale Song and Yiwen Song, Research Scientists, Google We introduce a unified multi-agent framework that autonomously generates temporally consistent, long-form video narratives, overcoming the identity drift and cascading failures of current linear AI pipelines.

If you're new to fuzzing and want to learn the fundamentals first, check out our Fuzzing 101 course at gh.io/fuzzing101.

Introducing Gemini 3.8 Live with Live Avatar Gemini 3.8 Live with Live Avatar brings real-time visual presence to Gemini’s conversational AI. By natively coupling our live dialogue capabilities with low-latency streaming video, Live Avatar enables a more natural and intuitive conversational experience for enterprises and their users.

Use the LangSmith Fine-Tuning CLI and skill - smithtune - to leverage agent trajectories stored in LangSmith to a fine-tuned model in one end-to-end workflow In addition to driving training, the smithtune CLI handles evaluating the fine-tuned model and uploads eval results to LangSmith for easy analysis We partnered with Fireworks & Baseten to create a seamless link between LangSmith...

When COVID-19 emerged, scientists had a crucial advantage: Decades of prior research on coronaviruses meant they understood the virus’ key proteins well…

Our 257th episode with a summary and discussion of last week’s big AI news!Recorded on 09/19/2026 ; as usual, apologies for the none…

A Practical Recipe for Semi-Supervised Federated ASR: Online Pseudo-Labels with Server Update Stabilization - Apple Machine Learning Research research area Methods and Algorithms , research area Speech and Natural Language Processing content type paper published September 2026 A Practical Recipe for Semi-Supervised Federated ASR: Online Pseudo-Labels with Server Update Stabilization Authors Wonho Bae, Zakaria Aldeneh, Martin Pelikan, Jan “Honza” Silovsky,...

We're 176 years into this AI experiment. Wait…it's only been three years? Are you sure?

New in LangSmith Engine: red teaming and automated testing LangSmith Engine v2: Red teaming and automated testing Red team your agents: Engine proactively finds issues in your agent before they emerge in production. Detect more issue types: Engine detects inefficient agent paths and trends in error rate, latency, and cost.

Managed Deep Agents delivers a better user experience for agents in production Managed Deep Agents v0.8: new auth, memory, and channels Identity-scoped auth and memory: user-owned credentials and user-level memory let agents act on the right permissions and remember caller-specific context. HTTP channels: use agents in internal tools, customer portals, support systems, and other product surfaces that can send webhooks.

Trajectories now in LangSmith: A readable view of every agent session Trajectories now in LangSmith: A readable view of every agent session Find the root cause faster. Trajectories show the ordered path an agent took across a session, so you can pinpoint where behavior deviated before diving into the trace for full details.

A warped Manhattan is waiting in the cloud this week. Remedy Entertainment’s CONTROL Resonant brings Dylan Faden’s extraordinary abilities and a paranatural…

We believe glasses are the best form factor for having AI help throughout your day.

I see it as a point on the LLM pareto optimal curve in a regime that had a large revealed latent demand (no thinking, single token, low latency acceptable intelligence) that was under-invested into because of a race to higher intelligence.

Compressing Streaming Neural Audio Encoders via Latent-Space Distillation - Apple Machine Learning Research research area Methods and Algorithms , research area Speech and Natural Language Processing content type paper published September 2026 Compressing Streaming Neural Audio Encoders via Latent-Space Distillation Authors Prasanth Yadla‡, Mohammad Samragh Razlighi‡, Dongseong Hwang, Mingbin Xu, Yuanyuan Zhang, Chung-Cheng Chiu, Yongqiang Wang†**, Yuan Liu§**, Zhen Huang,...

Accelerating vision-language models with LFM2.5-VL-DSpark Accelerating vision-language models with LFM2.5-VL-DSpark Today, we release an experimental DSpark draft model for our vision-language model (VLM) LFM2.5-VL-3B . As with our recently released LFM2.5-DSpark drafter models , it adds a speculative decoding path that trades a minimal increase in memory footprint for a larger speedup without changing output quality.

In the leadup to Dreamforce 2026, dozens of announcements outlined what enterprises look like when software meets AI, but the event itself filled in the…

Hi folks, Keshav here. Ben’s travelling today, so you’re stuck with me.We have three new models to talk about:Claude Opus 5.5 - it’s the…