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Jonathan Kemper

Jonathan writes for THE DECODER about how AI tools can improve both work and creative projects.
Read full article about: Chinese AI companies rush to ship new models before Lunar New Year

Chinese AI companies are pushing to ship major model updates ahead of the Chinese New Year holiday. Zhipu AI and Minimax, both of which recently went public on the Hong Kong stock exchange, plan to release updates to their flagship models within the next two weeks, according to the South China Morning Post. Zhipu AI is reportedly working on GLM-5, a follow-up to GLM-4.7, with improvements in creative writing, programming, and logical reasoning. Minimax is preparing M2.2, which focuses on parallel programming capabilities. Throughout 2025, Chinese companies have increasingly challenged the dominance of major US AI players.

Alibaba, Moonshot AI, and Baidu have all recently unveiled their most powerful models: Qwen3-Max-Thinking, Kimi K2.5, and Ernie 5.0. Deepseek, however, is apparently only planning a smaller update this year - according to a source, the company's next major model will be a trillion-parameter system, and training has been delayed due to its growing size. Meanwhile, Tencent, Baidu, and Alibaba are pouring billions of yuan into holiday advertising campaigns for their already popular AI chatbots.

Read full article about: Cursor slashes codebase indexing from four hours to 21 seconds

AI coding assistant Cursor now indexes large codebases in 21 seconds instead of over four hours. The trick: instead of building an index from scratch for each new user, Cursor reuses existing indices from team members. According to the company's blog post, copies of the same codebase within a team are 92 percent identical on average, making this approach highly efficient.

Diagramm: Merkle-Bäume vergleichen Dateihashes von Client und Server, synchronisieren nur unterschiedliche Einträge und löschen fehlende Dateien.
Merkle trees compare file hashes between client and repository, only synchronize files that differ and delete missing entries.

A Cursor study found that the semantic search enabled by these indices improves AI response accuracy by 12.5 percent. The technology relies on Merkle trees - a data structure using cryptographic hashes - to ensure users only see code they're authorized to access. For typical projects, wait times for the first search query drop from nearly 8 seconds to just 525 milliseconds. The startup behind Cursor shipped version 2.0 with its own coding model in October 2025 and now generates around $500 million in annual revenue.

Read full article about: Google appears to be preparing voice cloning for Gemini 3 Flash

Google is working on a feature that lets users clone their own voice in AI Studio. According to TestingCatalog, a hidden option called "Create Your Voice" shows up when selecting the "Flash Native Audio Preview" model, which is currently tied to Gemini 2.5 Flash. Clicking it opens a window for recording and uploading audio, but the feature isn't functional yet. The discovery suggests Google is getting ready to ship native audio capabilities with Gemini 3 Flash. This would let developers create artificial voices based on recorded voice samples. Google released an update for Gemini 2.5 Flash Native Audio back in December 2025 that improved voice quality and made the model follow instructions more precisely.

Screenshot von Google AI Studio im Playground-Modus. Rechts in der Seitenleiste ist unter der Stimmauswahl "Zephyr" ein Button mit der Aufschrift "Create your voice" zu sehen, auf den ein roter Pfeil zeigt. Oben rechts steht die Modellbezeichnung Gemini 2.5 Flash Native Audio Preview.
The hidden "Create your voice" option in Google AI Studio hints at upcoming voice cloning functions.

In addition, a new option has been found that allows entire code collections to be imported via GitHub repositories. The start page is also apparently being revised and will display activities and usage statistics separately in future.

Moonshot AI releases Kimi K2.5, claims most powerful open-weight model with 100-agent coordination

Moonshot AI has released Kimi K2.5, which the company says is the most powerful open-weight model available. The model can independently coordinate up to 100 AI agents working in parallel on complex tasks.

Read full article about: UK government taps Anthropic AI to help citizens find jobs

The British government has chosen Anthropic to develop an AI assistant for the GOV.UK website. The Department for Science, Innovation and Technology (DSIT) plans to use the system to help citizens navigate government services and receive personalized guidance. The initial focus will be on jobseekers - helping them with career advice, connecting them to training opportunities, and explaining available programs.

The partnership builds on a declaration of intent signed in February 2025. Anthropic engineers are collaborating directly with UK officials to ensure the government can eventually run the system on its own. Users will keep full control over their data and can opt out at any time.

Anthropic's regional head Pip White said the collaboration demonstrates how AI can be deployed safely for the public good. The company isn't the only US tech firm making moves in the UK - Microsoft, OpenAI, and Nvidia committed over 31 billion pounds to British AI infrastructure last year.

There's one notable difference between Anthropic and some of its competitors: while OpenAI holds a $200 million contract with the US Department of Defense, Anthropic prohibits US law enforcement agencies from using its models for domestic surveillance.