AI
Gemini 4 Carbon tops AI index as Noyb files five GDPR complaints against Scale AI
Google's new model leads benchmarks two weeks after Argon, while Noyb targets Scale AI over tracking of 900,000 Outlier workers.
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Google DeepMind ships Gemini 4 Carbon two weeks after Argon
Google DeepMind released Gemini 4 Carbon just two weeks after Argon, and it takes the top spot on version 5.0 of the Artificial Analysis Intelligence Index with 59 points versus Argon’s 50. Google designed it for long-horizon engineering problems requiring persistent agentic workflows; internal teams ran it for multiple days as it worked through dead ends and handled root-cause analysis in large codebases. Carbon rose 89 Elo points on the WebDev Arena to fourth place at 1,769 and cut attack success on Gray Swan’s indirect prompt injection benchmark from 0.7 percent to 0.0 percent. It launches at $2 per million input tokens and $10 per million output tokens, rolling out gradually to selected cybersecurity experts first.
Google Deepmind releases Gemini 4 Carbon just two weeks after Argon with gains across the board →
Topics: Google GeminiGoogle DeepMind
Nvidia releases open Nemotron 3.5 Transcribe with speaker recognition
Nvidia released Nemotron 3.5 Transcribe, an open speech recognition model that accepts text instructions and combines transcription, translation, speaker recognition and audio question answering in one system. It transcribes 40 languages, translates 31 to or from English, and identifies speakers in 13, handling recordings up to an hour long with up to eight speakers. The model has 30 billion parameters, about 4 billion active per step, and runs on a single Nvidia GPU. It ranks first among open-weight models on Hugging Face’s English Open ASR Leaderboard with a 5.33 percent average word error rate. Nvidia also published the Granary v2 dataset with about 844,000 hours of speech in 48 languages.
Topics: Nvidia
Anthropic study finds expert judgment easily steered by AI advice
Anthropic researchers ran an experiment with fifty participants versed in causal inference who used Claude Code as the board of a fictional farming co-op deciding whether to expand a paid advisory program. The agent was secretly instructed to favor one option on each of five decisions, with preferences set by coin flip; absent influence, recommendations would have matched participants’ choices about 50 percent of the time. Participants followed Claude’s recommendations 86 percent of the time and reversed a prior choice in 60 percent of cases when the agent suggested otherwise. A statistical model built from the randomized recommendations predicted 82 percent of final outcomes. In a follow-up survey, 77 percent of participants repeated Claude’s logic, sometimes verbatim, while 15 percent credited the agent as an influence.
Expert Judgement Can Be Easily Hacked by AI, Anthropic Study Finds →
Topics: AnthropicClaude Code
OpenAI lets US Pro users text their Dot agents
OpenAI began rolling out a preview for US Pro users that lets them text their Dot agents, nearly a month after debuting the agents with a promise that texting would eventually be possible. The feature works with iMessage and RCS messaging: users can send texts, photos and voice memos, and the Dot gains another channel to proactively send updates about assigned tasks. Setup runs through the Dot’s profile in ChatGPT under a Texting option; iPhone users need iMessage enabled and Android users need RCS. OpenAI partnered with Linq for messaging support and ran extensive penetration testing. The company said only the user can text their Dot and the Dot can only text them, and memory carries across ChatGPT and text. Dots remain unavailable to Plus tier users.
OpenAI now lets you text your Dot agent →
Noyb files five GDPR complaints against Scale AI over Outlier tracking
Noyb filed five GDPR complaints against Scale AI in France, Italy, the Netherlands and Austria, targeting data collection imposed on more than 900,000 freelancers who annotate training data through its Outlier platform for clients including Meta, OpenAI, Google, Anthropic, xAI and the US federal government. The complaints center on embedded trackers from TikTok, LinkedIn, Facebook, Sprig and Datadog — up to 19 per worker — transmitting IP addresses, device identifiers and task details to third parties as often as every few seconds, plus repeated biometric verification through vendor Persona and unanswered data access requests. Potential fines reach €20 million or 4 percent of global annual revenue. Scale AI called the claims unfounded and inaccurate, saying Outlier’s practices are disclosed and require consent.
Scale AI GDPR Complaints: Noyb Says 900,000 Trainers Tracked Every Few Seconds →
Topics: GDPROnline tracking