Nathaniel Whittemore

Anthropic has just expanded access to Mythos, adding 150 new partners.

With this new announcement, Anthropic is rolling Mythos out to firms across 15 countries, with the expanded group of partners including new sectors that weren't covered by the initial project, including energy, water, communications, healthcare, and computer hardware.

Writes Anthropic, Now, the announcement also included some further discussion of a public release.

You might remember that during the rollout of Opus 4.8 last week, Anthropic said that they expect to have a Mythos-level model ready in the coming weeks.

In Tuesday's Glasswing update, they wrote,

We're working as quickly as we can to safely release mythos-level capabilities in general access.

To do so, we'll need highly robust safeguards that prevent the model's cyber capabilities from being misused.

Safeguards that we, and to our knowledge, all other AI developers have yet to develop.

Because cybersecurity has both helpful and destructive uses, making safeguards that are both strong and precise enough is a major challenge.

Which to me honestly kind of feels like walking back the language that they had used in the Opus 4-8 announcement all the way back then last Thursday.

They said it was coming in the next couple of weeks, but now they're saying they need infrastructure that doesn't exist.

Honestly, the messaging is about as confusing as the government's executive order.

Meanwhile, the information checked in with some of the teams working with Mythos, finding that although the model is powerful, it is also eye-wateringly expensive.

Most of the testers are finding themselves running through millions of dollars worth of tokens very quickly.

And what's more, for now, Anthropic is subsidizing use, so firms aren't even paying the full cost.

At the same time, it also appears valuable enough to justify that cost, with many of the firms that the information talked to saying that they're basically aligning their budget so that they can build their strategy around Mythos when it becomes more broadly available.

And lastly today on that same theme of the token shortage, SK Hynix now plans to double their manufacturing capacity for memory chips to help address the global shortage.

This year's rapid growth in token use has led to shortages throughout the AI supply chain, with one of the more prominent shortages being in memory chips.

The cost of HiBin with memory for AI servers has more than doubled so far this year,

And up until now, memory manufacturers have been reluctant to build new plants to boost supply.