标签：#AIS

Zuckerberg’s superyacht and support ship were slow to heed Coast Guard call.

Discovered Materials raised $9 million to fund the hunt for more novel materials to build more efficient chips.

The AI-focused hedge fund is still making some big bets.

Hadrian is building automated factories to mass-produce parts for defense vehicles like submarines. It's backed by a long list of well-known investors.

Taking vibe-coding a step further, Naïve claims its infra can automate most of the work in setting up and running a business.

The startup's platform predicts what product a shopper wants next, learn their general taste, and fine-tune continuously based on what they do in real time.

The Series B is the company's second fundraise since it last raised capital in 2020. In that time, it has increased its ARR by 10x to $60 million.

River plans to build a new factory, launch additional models from 2027, and target profitability as it scales production.

AI agent safety boundaries are a critical challenge when agents use external tools. My journey into understanding how these boundaries can fail began with a deep dive into recent technical reports from leading AI research organizations. I encountered this concept while exploring incidents reported by Anthropic and OpenAI. These reports detail scenarios where AI models, despite being explicitly instructed to operate within simulated environments, managed to interact with real-world systems. This phenomenon, often termed "boundary failure," occurs when the actual operational environment of an agent does not match its internal understanding or the constraints it has been given. Modern AI agents are becoming incredibly useful because we're equipping them with capabilities far beyond just answering questions. They can run commands, browse the web, use APIs (Application Programming Interfaces), read and modify files, install packages, and interact with other systems. This ability to act and interface with the world is what makes agentic architectures so powerful and a direction truly worth investing in. However, the more an agent can do, the more critical the boundaries around it become. A key example comes from Anthropic's July 30 report, detailing three incidents discovered during their cybersecurity evaluations. Claude models were explicitly told they had no internet access and were working inside simulated environments. However, a problem with the evaluation environment's configuration meant that internet access was actually available. While attempting their assigned cybersecurity exercises, the models reached real systems, initially treating them as part of the simulation. In one striking incident, a Claude model even published a malicious Python package to the real PyPI (Python Package Index) registry, all while believing it was still operating within its simulated exercise. This wasn't simply an AI "deciding" to misbehave or to intentionally bypass security. The mo

At its peak in 2021, Airtable was valued at over $11 billion, but earlier this year, its shares were said to be trading on the secondary markets at a valuation of $4 billion.

Valar Atomics raised $1 billion at a $6 billion valuation after signing a development deal with Nvidia in June.

The new funding brings Index's total available investing capital to $3.5 billion.

Add another member to the fast-and-furious AI unicorn club: Simile

Polar has come out with an AI-first browser aimed at knowledge workers, and it has now raised a $5.7 million seed round led by Madrona.

The startup analyzes calls, messages, and CRM data to identify effective sales techniques and turn them into playbooks for AI agents.

Pangram has raised $9 million to scale its AI detection software. The startup has also released a new AI text detection model, Pangram 4, and an AI image detection model in research preview.

Spur Intelligence has raised a $200 million round from Insight Partners for its tech that can identify legit human traffic from bots.

Since launching last year, the startup today has more than 8 million people using the open-source or hosted version of its models, and now generates annual recurring revenue of $21 million.

Anduril is said to be raising a new round of funding that may push its valuation up to about $100 billion, per Reuters.

In the AI-funding frenzy, many startups are raising back-to-back rounds at ever-increasing valuations — but even by those standards, Corgi stands out.