The Sequence Radar - Issue #963: This Week in AI: The Future Has a Payment Schedule
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Next Week in The Sequence:
Since coding is solved, why code for the job?
NVIDIA, leveraging Google’s Gemma 4 E4B model and employing only reinforcement learning (RL) for post-training, has launched Nemotron 3.5 Bolt E4B 4GB—a small open-source language model with 8B total parameters, 4B effective parameters, and a 64K context window. It is designed to run on edge devices such as RTX and Jetson with approximately 4GB of VRAM, supporting multi-turn tool calls and low-latency voice interaction.
On October 17, 2026, a former OpenAI employee and co-founder of Anthropic delivered a speech at the IMF conference in Bangkok, arguing that “the technological singularity has already begun,” citing AI systems’ demonstrated capacity for autonomous research in fields such as mathematics, biology, physics, and robotics. The data cited—such as TheoPhysEval’s 98% score and Humanity’s Last Exam rising to 67.7%—were sourced from the speaker himself and affiliated institutions, with no third-party verification. The speech underscored the AI-driven transformation of scientific paradigms and its economic implications, while explicitly stating that this assessment reflects a subjective viewpoint rather than a scientific consensus.