Good morning. It’s Friday, April 4th.
On at the present time in tech history: In 1975, Microsoft was founded by Bill Gates and Paul Allen in Albuquerque, Recent Mexico.
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Deepmind’s AGI Ambitions
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Midjourney V7
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OpenAI’s Research Replication And Image Craze
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3 Recent AI Tools
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Latest AI Research Papers
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Today’s trending AI news stories
Google DeepMind Charts AGI Ambitions While Shifting AI Strategy and Infrastructure
Google DeepMind predicts that AGI may outthink humans by 2030, detailed in a dense 145-page report co-authored by Shane Legg. The report examines risks including misuse, misalignment, and structural fragility, and proposes countermeasures comparable to MONA for interpretable decisions, AI self-assessment tools, and layers of human-led oversight.
This approach sharply contrasts with OpenAI’s automation-heavy strategy, amid critics who argue that AGI stays an elusive concept with more immediate dangers tied to AI’s propensity to strengthen false outputs.
On the infrastructure front, The Information reports that Google is finalizing a cope with CoreWeave to rent Nvidia Blackwell GPU-powered servers and negotiating to deploy its own tensor processing units inside CoreWeave’s facilities, though neither side has commented on the report.
Meanwhile, DeepMind’s advanced AI agent Dreamermastered Minecraft’s diamond collection challenge without human intervention. Utilizing reinforcement learning and a predictive “world model,” Dreamer not only cuts computational costs but in addition demonstrates improved generalization across domains.
DeepMind’s Dreamer AI played repeated runs in Minecraft to learn learn how to collect diamonds. Courtesy of Danijar Hafne
Midjourney V7 Ups Image Quality, Introduces Recent Architecture, and Slashes Render Time
Midjourney has launched V7its first recent image generation model in nearly a yr, featuring a redesigned architecture and enhanced prompt understanding. Available in alpha, V7 introduces default personalization: users must first rate ~200 images to coach the system to their visual preferences.
The model offers two modes—Turbo, which is more resource-intensive, and Loosen up. A brand new Draft Mode renders images ten times faster at half the price, producing lower-quality outputs that will be enhanced with a click. Image quality has reportedly improved, with sharper textures and more coherent rendering of complex features like hands and objects.
CEO David Holz noted that V7 may require different prompting styles. V7 is accessible via Midjourney’s web app and Discord. Read more.
OpenAI Elevates Research Replication While Wrestling With Rising Costs and Image Gen Fever
OpenAI is flexing its muscles on several fronts because it fine-tunes each its research and business playbooks. The firm rolled out PaperBench, a rigorous benchmark geared toward testing AI’s mettle in replicating advanced research. Built on 20 ICML 2024 papers with 8,316 tasks and graded subtasks, submissions are scored by an AI judge honed on OpenAI’s best models. Anthropic’s Claude 3.5 Sonnet took the lead by replicating 21% of results—though human PhDs still sit comfortably at 41.4%. The benchmark’s code is out on GitHub.
The corporate can be in the course of a daring transformation from nonprofit to for-profit, assembling a commission to design the “world’s best-equipped nonprofit” with a board proposal due in 90 days to stave off investor clawbacks.
At the identical time, OpenAI’s o3 model has steeper-than-expected operational costs. Initially projected at $3,000 per ARC-AGI task using its top configuration, o3 high, the Arc Prize Foundation now estimates costs at around $30,000 per task. Although official pricing hasn’t been released, o1-pro pricing is anticipated to be similar. Despite these high costs, enterprise customers could possibly be charged as much as $20,000 monthly for specialised AI agents. Critics note that while these models could also be cheaper than human contractors, their efficiency stays in query—o3 high requires 1,024 attempts to realize optimal performance.
very crazy first week for images in chatgpt – over 130M users have generated 700M+ (!) images since last tuesday
India is now our fastest growing chatgpt market 💪🇮🇳
the range of visual creativity has been extremely inspiring
we appreciate your patience as we attempt to serve
— Brad Lightcap (@bradlightcap)
3:00 PM • Apr 3, 2025
Amid all this, ChatGPT’s image generator has gone viral, logging over 700 million creations in its first week, driven by 130 million users—India leading the charge. An enhanced version and a standalone API are on the horizon, signaling more disruptive innovation to come back. Read more.
3 recent AI-powered tools from around the net
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