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Cohere Blog

15 stories

Cohere BlogLabsPitchBook in North: Private market intelligence for enterprise teams Connect PitchBook to North to access private markets intelligence, company profiles, investor information, and deal details into your workflows.

Cohere BlogLabsConcerning behavior from a popular open-weight AI model Discover how untrusted open-weight AI models can potentially leak data, even when self-hosted. Learn the security risks and how to protect your enterprise.

Cohere BlogLabsInside Cohere Model Vault: Building a verifiable confidential AI inference Explore how Cohere Model Vault secures AI inference with confidential CPU and GPU computing, end-to-end encryption, and remote attestation.

Cohere BlogLabsIntroducing Confidential Computing on Cohere Model Vault Discover Confidential Computing on Cohere Model Vault. Protect sensitive AI workloads with hardware-backed security, encryption, and verification.

Cohere BlogLabsIntroducing North Automations: Intelligent workflow orchestration Coordinate agentic workflows across the enterprise with North Automations — designed for simplicity, control, and visibility at every step.

Cohere BlogLabsMeet Cohere Transcribe Arabic Capture the full diversity of spoken Arabic with our state-of-the-art, enterprise-ready transcription model, available as open source.

Cohere BlogLabsIntroducing Rerank 5: precise, efficient enterprise document retrieval Sharpen your AI search with Rerank 5. It now pinpoints the exact passages your LLM needs for each query, so you get better answers from fewer tokens.

Cohere BlogLabsNorth 2: Enterprise AI without North 2 is Cohere’s biggest upgrade yet, unifying enterprise‑grade security, intelligence, cost governance, and full‑stack control into a single agentic AI platform that runs wherever your data lives.

Cohere BlogLabsIntroducing Embed 5—A new family of frontier embedding Cohere's Embed 5 delivers state-of-the-art retrieval across multimodal, multilingual, and financial documents — now available in Pro and Fast tiers.

Cohere BlogLabsIntroducing North Small Translate: A leading sovereign open-weight machine translation model Outsized performance, right-sized footprint — translation built for speed and cost efficiency.

Cohere BlogLabsIntroducing Parse: Enterprise document intelligence at scale Parse converts complex documents, tables, and images into structured data your AI can search or act on.

Cohere BlogLabsIntroducing North Mini Code: Cohere’s first model for developers Meet North Mini Code, Cohere's first open-source agentic coding model: a 30B MoE that codes strongly on minimal hardware.

Cohere BlogLabsIntroducing Command A+: Making sovereign agentic capabilities available to all Cohere’s fastest and most powerful language model yet: an open-source model for running high-performance enterprise agents with maximum efficiency.

Cohere BlogLabsIntroducing Cohere Transcribe: a new state-of-the-art in open-source speech recognition Unmatched accuracy and speed. Transcribe converts your business’ audio data into precise text for search, analytics, and automation.

Cohere BlogLabsShared or dedicated inference for Embed & Rerank Shared or dedicated AI inference? Learn how embedding and reranking workloads, traffic patterns, latency, and cost determine the right deployment choice.

On the calendar

予定 · Conferences and launch events, this week's stories from each corner of the industry, and what its press is covering — in English

On view

This week, from that corner the newest stories from the corner of the industry you picked

The wire their own posts, translated

How code moves in 2026 from the industry's own reports

Sources

Fetched every six hours, linked to the original

About

The name is the button.

An agent writes the code now, and a human thumb hovers over Accept all a hundred times a day. The honest question of this decade is what, exactly, you just accepted. So I read the diff.

Eight years as a backend engineer in Stockholm, back in Tokyo since 2023, and I still ship something small most nights, usually badly. My one rule: the only real review of a model is the thing you built with it. That is why there is no leaderboard on this site.

Around a hundred and forty sources come through — the labs' own posts, the papers, the tools, the runtimes and languages nobody is watching yet, the chip under the demo, and the newsletters people actually forward. What is moving gets counted so the week reads at a glance, and every few days I explain one mechanism in plain words.

A story here is a headline, a short excerpt, one image and the link to whoever wrote it. We never reproduce the post; the images belong to their authors. A post written in Japanese appears in Japanese, exactly as it was published, and the link goes to the original.

— Yuki Halvorsen, Tokyo