Gate News message, April 23 — OpenAI appointed Emmanuel Marill, former Airbnb executive, as managing director for Europe, the Middle East, and Africa (EMEA) as the company expands in a region increasingly concerned about dependence on U.S. AI providers.
Marill previously held positions at Facebook and Groupon in France. The move comes as OpenAI grows its business sales abroad, facing scrutiny from European regulators over digital sovereignty and competing with Mistral AI, a France-based startup marketing itself as a European alternative. OpenAI reported that business subscriptions in EMEA rose sevenfold year on year, though the company did not disclose specific sales figures.
OpenAI is also hiring for additional roles including head of EMEA Product Partnerships to accelerate adoption across business, developer, and consumer channels. The hires and partnerships are designed to deepen OpenAI’s presence in Europe’s business and technology networks, addressing sovereignty concerns by establishing a stronger local footprint.
Disclaimer: The information on this page may come from third parties and does not represent the views or opinions of Gate. The content displayed on this page is for reference only and does not constitute any financial, investment, or legal advice. Gate does not guarantee the accuracy or completeness of the information and shall not be liable for any losses arising from the use of this information. Virtual asset investments carry high risks and are subject to significant price volatility. You may lose all of your invested principal. Please fully understand the relevant risks and make prudent decisions based on your own financial situation and risk tolerance. For details, please refer to
Disclaimer.
Related Articles
Perplexity Discloses Web Search Agent Post-Training Method; Qwen3.5-Based Model Outperforms GPT-5.4 on Accuracy and Cost
Perplexity uses SFT followed by RL with Qwen3.5 models, leveraging a multi-hop QA dataset and rubric checks to boost search accuracy and efficiency, achieving best-in-class FRAMES performance.
Abstract: Perplexity's post-training workflow for web-search agents combines supervised fine-tuning (SFT) to enforce instruction-following and language consistency with online reinforcement learning (RL) via the GRPO algorithm. The RL stage uses a proprietary multi-hop verifiable QA dataset and rubric-based conversational data to prevent SFT drift, with reward gating and within-group efficiency penalties. Evaluation shows Qwen3.5-397B-SFT-RL achieving top FRAMES performance, 57.3% accuracy with a single tool call and 73.9% with four calls at $0.02 per query, outperforming GPT-5.4 and Claude Sonnet 4.6 on these metrics. Pricing is API-based and excludes caching.
GateNews29m ago
TikTok Removes Over 538,000 AI-Generated Unauthorized Videos; Multiple Platforms Launch Governance Initiatives
Gate News message, April 23 — TikTok announced a comprehensive crackdown on AI-generated content that infringes on user rights, disclosing that it has removed over 538,000 videos and penalized more than 4,000 accounts to date. The platform will prioritize enforcement against AI deepfakes, voice
GateNews1h ago
Traditional Finance Will Accelerate Entry Into Crypto Market, Says Economist Fu Peng
Gate News message, April 23 — Fu Peng, chief economist of Xinfire Group, shared his outlook on the convergence of traditional finance and crypto assets during the 2026 Hong Kong Institutional Digital Wealth Management Summit. According to Fu, the integration of traditional financial institutions wit
GateNews1h ago
OpenAI Codex Team Fixes OpenClaw Authentication Bug, Significantly Improves Agent Behavior
OpenClaw switches from Pi to Codex harness to fix a silent authentication fallback, with two PRs addressing the bridge and fallback; post-fix, the agent shifts from shallow heartbeat polling to a full work loop, enabling progress.
Abstract: OpenClaw’s Codex harness optimization addressed a critical authentication flaw that caused silent fallback to the Pi harness when using Codex with OpenAI models. Two pull requests fix the authentication bridge and prevent silent fallback, changing the runtime adapter. As a result, agent behavior evolves from shallow heartbeat polling to a full work loop that reads context, analyzes tasks, edits repositories, and verifies progress, improving continuity and visibility across heartbeats.
GateNews1h ago
Anthropic weapon-grade cybersecurity model Mythos was accessed without authorization: how did they do it?
Bloomberg reported that a private forum group gained unauthorized access to Mythos through legally authorized use by a third-party contractor of Anthropic. Mythos is an enterprise-grade, defensive AI that is only available to large organizations that undergo rigorous review. The group used knowledge of the model URL to guess the system’s location to gain entry, and provided screenshot demonstrations, claiming it was still being used with no malicious intent. Anthropic is investigating and has preliminarily determined it was abuse of permissions rather than external intrusion. This case highlights the risk of entrusting highly sensitive models to third-party oversight, and underscores the need to strengthen governance resilience and trust mechanisms.
ChainNewsAbmedia1h ago
SlowMist CISO issues alert: ShinyHunters claims to have breached Anthropic’s internal systems
According to an alert posted on the X platform on April 23 by SlowMist’s Chief Information Security Officer 23pds, the hacker group ShinyHunters claims it has breached internal systems related to the Anthropic Mythos models and has publicly shared screenshots as evidence, including a user management panel, an AI experiment dashboard, and analyses of model performance and costs. However, Anthropic has not yet issued an official statement.
MarketWhisper1h ago
