A new US phone network for Christians aims to block porn and gender-related content

Q: Goodfire launched Silico, a mechanistic interpretability tool that lets developers map and tweak AI

Goodfire launched Silico, a mechanistic interpretability tool that lets developers map and tweak AI model neurons during training to reduce unwanted behaviors.

Q: Trump fired all 22 scientists overseeing the NSF's $9 billion research portfolio, continuing a wave

Trump fired all 22 scientists overseeing the NSF's $9 billion research portfolio, continuing a wave of cuts that has sharply reduced staff and halted major projects.

Q: China's open-source AI strategy is gaining momentum after DeepSeek R1 matched top US models at a fra

China's open-source AI strategy is gaining momentum after DeepSeek R1 matched top US models at a fraction of the cost, with more Chinese labs following the same playbook.

The Download from MIT Technology Review·Friday, May 1, 2026·7 min read

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MIT Technology Review's The Download covers a new Christian-marketed US phone network launching with mandatory porn blocks and optional gender-content filters, Goodfire's new mechanistic interpretability tool Silico for debugging LLMs, Trump's mass firing of 22 NSF scientists, and China's growing open-source AI strategy following DeepSeek's success.

Key Facts

✓Goodfire launched Silico, a mechanistic interpretability tool that lets developers map and tweak AI model neurons during training to reduce unwanted behaviors.

✓Trump fired all 22 scientists overseeing the NSF's $9 billion research portfolio, continuing a wave of cuts that has sharply reduced staff and halted major projects.

✓China's open-source AI strategy is gaining momentum after DeepSeek R1 matched top US models at a fraction of the cost, with more Chinese labs following the same playbook.

Author Takes

BullishThe Download from MIT Technology Review

China's open-source AI strategy

China's open-weight AI approach is making the future of AI more multipolar than Silicon Valley expected, with open-source models shifting from hype to deployment advantage.

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