Sakana AI
● 4 sources
Sakana AI launched an Applied Team in 2025 to implement generative AI technology, with software engineers working on financial and defense sector solutions using AI agents. The company is currently hiring project managers and applied research engineers, focusing on automating enterprise processes like banking core operations through AI agents while managing data security and uptime requirements. Engineers at Sakana AI anticipate their role evolving toward AI agent management and system optimization rather than manual coding, with the company positioned to apply self-evolving AI techniques to real-world business problems that competitors have not yet solved.
Sakana AI
Sakana AI published an unofficial guide to its research candidate interview process, written by Stefania Druga, Luke Darlow, and Llion Jones based on patterns observed from dozens of interviews. The guide emphasizes that understanding design choices and limitations matters more than implementation ability, with candidates evaluated on their ability to question assumptions and communicate precisely. The company positions critical evaluation and clear explanation of reasoning as fundamental to advancing AI research.
Sakana AI
● 4 sources
Sakana AI relocated its headquarters to Azabudai Hills Mori JP Tower in Tokyo to support business expansion and organizational growth. The move enables the company to expand its team and better integrate its research and business implementation functions. The relocation aims to strengthen Sakana AI's ability to develop and deploy AI solutions focused on Japan's needs.
Sakana AI
● 2 sources
Sakana AI announced a strategic partnership with Datadog to collaborate on research initiatives, open-source contributions, and go-to-market efforts focused on efficient AI models for enterprise applications. The partnership will include joint work on building, deploying, and operating advanced AI systems at scale for large enterprises. The collaboration aims to accelerate Sakana AI's engagement with enterprise customers through Datadog's observability platform.
The New Stack
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3 days ago
● 3 sources
xAI released Grok 4.5 on July 8, claiming it matches Claude Opus 4.8's coding performance while using roughly 4.2 times fewer tokens at less than half the price. A developer tested both models on three real coding tasks (bug fix, refactor, feature build) in the same Rust repository and found Grok used 1.01 million tokens versus Opus's 4.33 million tokens while producing functionally identical results, with Grok costing $1.00 versus Opus's $5.14. Developers now have a viable alternative to Claude for coding work if they prioritize token efficiency and cost over maximum code thoroughness.
Simon Willison
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3 days ago
● 5 sources
Anthropic announced that Claude Fable 5 will become a permanent feature in Max and Team Premium subscription plans starting July 20, available at 50% of normal limits, while Pro and Team Standard users retain access through credits and receive a $100 one-time credit. The move reverses Anthropic's earlier plan to remove Fable 5 from subscriptions and offer it only via API, a decision prompted by competition from GPT-5.6 Sol and Kimi 3 that made subscription-only access untenable. The change may require Anthropic to allocate more GPU capacity to serving the model, potentially affecting other operational priorities.
