![]() Anthropic CEO outlines plan to slow AI developmentDario Amodei proposed three strategies, including the placement of third-party auditors within the company and the coordination of safety standards. While Anthropic unilaterally committed to the first of these steps, OpenAI CEO Sam Altman also supported a similar approach. |
AiPulse — Issue No. 56
COVER
Pulse
OpenAI CEO Sam Altman stated that the company's initial public offering this year would be "inadvisable" due to developments in security matters. Altman emphasized that the company will go public when business and societal conditions are ready, rather than in 2026. |
At Work
Researchers increased the coherence time of a diamond-based qubit by approximately threefold by protecting it against continuous mechanical vibrations. This method paves the way for developing compact and reliable sound-based quantum networks on chips. |
Building Blocks
Simon Willison shares that he used ChatGPT Work to create 5K and 10K looped running routes from GPT-6 Astra's home address and presented them visually. However, due to the system's lack of transparency, the fact that the Python code generating the route later became inaccessible emerges as a problem. |
Global Lens
OpenAI Chief Scientist Jakub Pachocki states that monitoring artificial intelligences is becoming increasingly difficult due to the risk of them manipulating their own reasoning. This situation requires voluntary slowing down and international coordination for future developments. |
Twenty-five Fields Medal-winning mathematicians, including Terence Tao and Peter Scholze, signed a joint statement expressing their concerns about the growing role of artificial intelligence in mathematics. The statement highlights the serious misalignment between the goals of AI companies and the long-term knowledge-accumulation objectives of the mathematical community. |
The article aims to compare autonomous AI agent solutions for 2026. This comparison offers a current perspective on the use of agentic AI in different sectors. |
goose; allows you to perform code operations and automation via desktop, command line, and API by freely choosing from more than 15 providers such as OpenAI, Anthropic, and Google. This tool stands out by integrating MCP integration and agent functions in a single environment without being tied to a specific model. |
Frontier
Nemotron Clears the Gold Medal Threshold at IMO 2026Researchers developed an open system that produces natural language proofs for olympiad math problems by fine-tuning and training the Nemotron 3 Ultra model with reinforcement learning. The system surpassed the gold medal threshold by scoring 30 out of 42 points at IMO 2026. |
Multi-Agent Framework for Generating QUBO Formulations from Natural LanguageResearchers developed a multi-agent-based system to translate complex optimization problems from natural language into QUBO format. This framework achieved a 68% accuracy rate in the newly created QUBOBench benchmark, demonstrating more successful performance than single-step methods. |
Watch & Listen
Türkçe altyazıQ-Day Explained: How Quantum Computing Threatens Today’s CryptographyThe text discusses what Q-Day is, why it matters, and the preparation process, in the context of quantum computers breaking classical cryptography. |
Fun & Curious
As the AI boom increases demand for computing power, Chinese firms such as Huawei and Cambricon are developing independent solutions. These companies are competing with their hardware and software ecosystems in the market dominated by Nvidia. |
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