In 5 years from now, probably 95% of the tokens used by AI agents will be used on tasks that humans never did before. I just met with about 30 enterprises across 2 days and a dinner, and some of the most interesting use-cases that keep coming up for AI agents are on bringing automated work to areas that the companies would not have been able to apply labor to before. Most of the world hasn’t quite caught on to this point yet. We imagine AI as dropping into today’s workflows and just taking what we already do and making it more efficient by 20% or something. Yet most companies realize that most of the time they’re doing far less than they could because of the cost or limited capacity of talent. This shows up in different ways across every industry. In real estate it’s ideas like being able to read and analyze every lease agreement for every trend and business opportunity possible. In life sciences it’s being able to rapidly do drug discovery or improve quality by looking through errors in data. In financial services it’s being able to look through all past deals and figure out better future monetization. In legal it’s being able to execute on contracts or legal work for previously unprofitable segments or projects. And these are just the Box AI use cases that deal with documents and content. The same is going to be true in coding, where companies tackle software projects they wouldn’t have done before. Security of all systems and events they couldn’t get to. And so on. If you are working on AI Agents right now, the big opportunity is to bring enterprises “work” for problems that they couldn’t do before because it was nearly impossible to afford or scale. And if you’re deploying AI agents in an enterprise, consider what things you’d do more of (or differently) if the cost and speed of labor became 100X cheaper and faster. This is going to get you the real upside of automation.

🚨: According to a NASA engineer 3I/ATLAS performed a non gravitational maneuver while passing behind the Sun Davide Farnocchia, a navigation engineer at NASA’s Jet Propulsion Laboratory in Pasadena, provided the first evidence of the object’s unexplained motion. Data revealed that 3IATLAS experienced a radial acceleration of 135 kilometers per day squared away from the Sun along with a transverse acceleration of 60 kilometers per day squared.

Here’s a great use case for the Box MCP server. You can now have any documentation, product specs, or any other best practice documents inside Box accessible to coding agents. We used to keep knowledge either in our heads or trapped within the silos of individual pieces of software. In both cases, we underutilized the information that we generate in an enterprise. The power of AI is that we can tap into this knowledge from anywhere, at any time; and it grows in value the more of it we have, which historically was the opposite of what happened.

Vampires. Zombies. Cloud bills. Only one still haunts devs.

Introducing `:exacto`, Precision Tool-Calling Endpoints OpenRouter now offers a curated subset of providers on top open source models with measurably higher tool calling accuracy delivering more reliable tool use.

Introducing `:exacto`, Precision Tool-Calling Endpoints OpenRouter now offers a curated subset of providers on top open source models with measurably higher tool calling accuracy delivering more reliable tool use.

Deepseek released a new top trending open-source OCR model and paper and crossed 100,000 AI builder followers on @huggingface (from less than 5,000 beginning of the year)!

The main breakthrough of GPT-5 was to route your messages between a couple of different models to give you the best, cheapest & fastest answer possible. This is cool but imagine if you could do this not only for a couple of models but hundreds of them, big and small, fast and slow, in any language or specialized for any task - all at inference time. This is what we're introducing with HuggingChat Omni, powered by over 100 open-source models including gpt-oss, deepseek, qwen, kimi, smolLM, gemma, aya and many more already! And this is just the beginning as there are over 2 millions open models not only for text but image, audio, video, biology, chemistry, time-series and more on @huggingface!

intern accidentally priced @openai GPT OSS at 1/100 of anthropic ‼️ bad intern but what's done is done. now go build ¯\_(ツ)_/¯ 120B - $0.15/$0.75 20B - $0.10/$0.50