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So when does Anthropic recommend Fable 5.2 and Mythos 5.2?

For most coding and knowledge-work tasks, it advises starting with Opus 5.5. Fable and Mythos are best for the most ambitious open-ended technical tasks.

Fable 5.2 can also act as an "Advisor": other models turn to it for advice on harder problems.

It can also be an "Orchestrator" that hands simpler tasks off to smaller models.

Anthropic has updated its most powerful models and released Claude Fable 5.2 and Mythos 5.2.

Fable is available to everyone and has safeguards against misuse in cybersecurity and biology.

Mythos goes only to vetted organizations through special verification programs.

The new models generate answers up to 30% faster than 5.1 and cost less: $8 per million input tokens and $40 per million output tokens. An optional fast mode speeds generation up by as much as 2.5x.

Hackers "hijack" access to AI: bills reach $100,000 within minutes. Google warns of a growing new type of attack - LLMjacking.

Attackers steal API keys for language models and cloud credentials to run AI workloads at someone else's expense and sell access to others.

First, hackers look for open LLM endpoints or valid keys, and then, using stolen tokens (IAM, service account keys, GitHub PATs), they gain a foothold in the victim's infrastructure and escalate their privileges.

OpenAI taught AI to rewrite legacy programs: up to 97.9% accuracy in its own test.

In particular, the model successfully migrated 86.6% of COBOL programs to other languages at a low reasoning level.

COBOL runs more than 40% of online banking systems and 95% of ATM transactions.

The previous model managed only in 5.4% of cases.

Nvidia released an open 120-billion-parameter model that, after fine-tuning, outperformed Claude Opus 5 on one task.

According to Artificial Analysis, it is 5 times faster than its closest competitor in its class.

Without fine-tuning, the base model did not beat the closed flagships. For general everyday tasks, closed models like Opus 5.5 are more convenient because they work without any setup.

Open models have their own advantages: they can be fine-tuned on your own data and run on your own servers, and they are fast for large volumes of repetitive work.

Meta entered the "frontier": the company released Muse Wonder and Muse Wonder Full, which, according to it, compete with the best AI models in the world, including those from OpenAI and Anthropic.

Key features: Active Memory (remembers you between conversations) and Active Focus (doesn't drop a task, but tries other approaches and asks before important actions).

Meta itself published the test results in its announcement; there is no independent verification yet. We're waiting for real-world tests.

Free Gemini no longer lets you choose a model: now Google decides for you. Accounts have been switched to "Auto" mode.

The manual model picker has disappeared, and only one option remains in the list: "Auto" with "Gemini 3 models". Most requests will be routed to Flash-Lite, the fastest and lightest one.

Everyone has also gotten "effort" levels (Low / Medium / High) instead of the old "Extended."