Sakana AI
Sakana AI recreated the Picbreeder collaborative image evolution experiment using vision-language model agents in collaboration with MIT and NYU, where agents explored and evolved images without predefined objectives. Diverse agent populations achieved semantic diversity approaching human-created archives, but agents became trapped in local patterns and made smaller conceptual leaps than humans. The research reveals that current AI systems lack the human capacity to recognize unexpected discoveries and sustain creative pursuits through larger conceptual shifts.
The Verge
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5 hours ago
A Tesla driver in a fatal Texas crash manually overrode the vehicle's Full Self-Driving system by pressing the accelerator to 100 percent, according to NTSB investigators. The Model 3 reached speeds exceeding 70 mph in a 30 mph zone before striking a home and killing a 76-year-old resident in June. The investigation confirms the crash resulted from driver action rather than autonomous system failure.
Rest of World
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7 hours ago
Meta released Muse Image, an AI tool allowing manipulation of public Instagram photos, but withdrew it within 72 hours due to abuse concerns. Research in Pakistan and South Asia found that image-based abuse predominantly involves non-explicit everyday images that violate consent, not explicit content, leaving millions of women unprotected under current Western-focused policies. Content moderation requires human reviewers trained to understand cultural context and consent rather than relying solely on AI systems that cannot account for the absence of permission or intention of harm.
