$2B Safety Bet, GPT‑4.1 & AI Breakthroughs
April 21st 2025 | Superintelligence Newsletter
Hey Superintelligence Fam 👋
This week saw Safe Superintelligence secure a record $2 billion from Alphabet and Nvidia to advance controllable superintelligent systems, while OpenAI’s GPT‑4.1 debuted with one‑million‑token context and 21 % better code accuracy—powering richer real‑world applications.
Wikimedia Enterprise launched a structured Wikipedia dataset on Kaggle, and Google previewed Gemini 2.5 Flash’s hybrid reasoning model. The AI Scientist‑v2 achieved autonomous workshop papers, BrowseComp challenged browsing agents, and OLMoTrace traced LLM outputs across trillions of tokens—fueling next‑gen AI tools.
Ilya Sutskever’s Safe Superintelligence Raises $2B in Funding from Alphabet, Nvidia to Tackle AI Safety at Scale : Safe Superintelligence, led by OpenAI co-founder Ilya Sutskever, secures a record $2 billion from Alphabet and Nvidia, turbocharging its mission to build safe, controllable superintelligent systems.
OpenAI Unveils GPT‑4.1: Breakthrough in Long‑Context and Coding : OpenAI’s GPT‑4.1 models support up to one million tokens of context, deliver 21% better code accuracy than GPT‑4o, and run 26% more cost‑efficiently—powering richer, real‑world applications.
Wikimedia Enterprise Releases Structured Wikipedia Dataset on Kaggle: Wikimedia Enterprise unveils a beta Kaggle dataset offering JSON-formatted English and French Wikipedia content—abstracts, infoboxes, and images pre-structured for machine-learning training, benchmarking, and alignment workflows.
Google Rolls Out Early Preview of Gemini 2.5 Flash : Google’s Gemini 2.5 Flash preview debuts a hybrid reasoning model—letting developers toggle “thinking” budgets for optimal performance and cost, all while maintaining the speed of the 2.0 Flash baseline.
The AI Scientist‑v2: Workshop‑Level Automated Scientific Discovery via Agentic Tree Search : The AI Scientist‑v2 autonomously formulates hypotheses, runs experiments via agentic tree search, refines figures with VLM feedback—landing its peer-reviewed ICLR workshop paper without human-crafted templates.
BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents : BrowseComp benchmark pits AI browsing agents into 1,266 remarkably hard‑to‑find web queries requiring persistent search—humans solve 29.2%, GPT‑4o+Browse 1.9%, OpenAI Deep Research peaks at 51.5%.
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens : OLMoTrace delivers real‑time LLM output tracing across 4.6 trillion tokens - highlighting verbatim matches in ~4.5 s, fueling fact‑checking, creativity audit, and math trace in Ai2 Playground.
GPT-4.1 delivers state‑of‑the‑art coding, reasoning, and multimodal prowess with 26% lower costs and unlimited long‑context windows, empowering developers to build scalable, intelligent, efficient AI applications.
Canva AI unifies design and productivity in one chat—a multimodal assistant that drafts documents, generates images, edits photos, and builds interactive widgets with voice/text prompts.
DolphinGemma is a 400 M‑parameter Google AI model generating dolphin vocal sequences on Pixel devices—decoding clicks and whistles, seamlessly bridging communication patterns between humans and dolphins.
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OpenAI revised its risk evaluation framework, adding assessments for self-replication and evasion behaviors. Google DeepMind's CEO, Demis Hassabis, highlighted ethical challenges in the pursuit of AGI, especially with AI's military applications . The University of Melbourne emphasized the need for ethical AI governance in business . The Peter Singer AI chatbot sparked discussions on AI's role in moral reasoning . AMS introduced a global charter for ethical AI in talent acquisition.
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Until Next Time!
Superintelligence Team.