šļø Not Wearing AI Glasses Is a āCognitive Disadvantageā
Mark Zuckerberg positioned AI-powered eyewear as the future front line of human-computer interfaces, asserting during the July 30, 2025 earnings call that people who donāt adopt AI glasses could face a significant cognitive disadvantage. Meta is doubling down on this vision with steep investments ($66ā72āÆbillion in AI infrastructure in 2025) and the long-term aim to build personal āsuperintelligenceā embedded in wearable glasses.
š§ Zuck: Superintelligence Is in Sight as Meta Spends Billions on AI
In a memo released ahead of Metaās secondāquarter earnings, Mark Zuckerberg declared that developing āsuperintelligenceāāAI systems capable of selfāimprovementāis now clearly within reach, thanks to massive investments in infrastructure, highāprofile talent and elite teams. Meta reported $47.5āÆbillion in revenue (upāÆ22%) and $7.14 EPS (upāÆ36%), beating projections, even amid soaring capital expenditures.
šØāš» Most U.S. Adults Use AI, But Young Users Lead
An AP-NORC poll finds 60% of U.S. adults use AI to search for information, but younger users dominate more creative and task-based uses. Nearly 6 in 10 under 30 use AI for brainstorming, compared to just 2 in 10 over 60. While work, email, and entertainment uses are growing, AI companionship remains limited, yet more common among young adults.
š Googleās AI Can Map Earth with New Precision
Google DeepMindās AlphaEarth Foundations compresses massive satellite data into sharp 10-meter-resolution maps, reducing errors by 24% and storage needs by 16x. Used to track deforestation, climate change, and land use, it enables real-time, global monitoring. Now on Google Earth Engine, it gives organizations powerful, privacy-safe planetary insight tools.
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Ramp, the AI-powered finance operations platform, just raised a $500 million Series E-2 led by ICONIQāpushing its valuation to $22.5 billion. ā See how the agentic revolution is reshaping finance.
Can AI personalize learning without isolating students? In this thought-provoking guest post, ClassWaves CEO Mandy McLean argues that real learning is social, rooted in dialogue, not just data. She explores the risks of hyper-personalization and makes a compelling case for building AI that amplifies classroom conversation rather than replacing it. ā Read the full article here.
Meta is moving fast toward building artificial general intelligence, but that doesnāt mean the company plans to open-source its most advanced models. In a recent press briefing, CEO Mark Zuckerberg said Meta will likely not open-source future āsuperintelligenceā systems due to safety risks, a reversal from its previous open-weight Llama strategy.
This shift reflects a broader tension in the AI world: openness vs. control. While Meta has championed openness as a competitive advantage, it now joins peers like OpenAI and Anthropic in putting up guardrails as the stakes rise. Still, Zuckerberg maintained that Metaās current Llama models remain open and continue to improve, with Llama 4 on the way and training underway for Llama 5.
The pivot highlights growing concern about dual-use risks, misuse, and regulatory pressure as models approach human-level reasoning. Meta says it will support external scrutiny, but the age of open-source frontier AI may be fading. ā Read the full article here.
Mira Murati, former CTO of OpenAI and a key architect behind ChatGPT and DALLĀ·E, has rejected a $1 billion offer from Meta to join its new Superintelligence Lab. Instead, she and her team are betting on their own startup, Thinking Machines Labāa stealth-mode company aiming to build interpretable, customizable AI systems.
Founded in early 2025, the startup has already raised $2 billion at a near-$12 billion valuation. Muratiās team, offered up to $1B individually by Meta, unanimously declined, citing belief in their equity and the freedom to chart their own course. In a market where talent often follows the money, this rare defiance underscores Muratiās status as one of AIās most influential leaders. ā Read the full article here.
A new study from the University of Stirling suggests that programming artificial agents with a form of guilt, modeled as a self-imposed penalty, can improve cooperation in social networks. In simulations using the prisonerās dilemma, guilt-prone AI consistently outperformed selfish strategies, encouraging trust and collaboration.
While these agents donāt experience guilt like humans, their behavior mimics emotional accountability. Itās a glimpse into how emotion-inspired code could stabilize AI behavior, but experts caution the results are limited to simplified models. In the real world, saying āsorryā is cheap, and not always sincere. ā Read the full story here.
šļø Voice Actors Battle AI Dubbing: As studios test synthetic voices, European actors demand EU regulation to protect their craft from being replaced by cheaper, less emotive AI alternatives.
š Microsoft Ranks AI Job Risks: New study reveals writers, telemarketers, and PR pros top the list of AI-vulnerable roles, while roofers, nurses, and dishwashers remain safest.
š Google Joins EU AI Code Pledge: Google says it will sign the EUās voluntary AI Code of Practice, backing transparency and safety rules ahead of stricter regulation expected in 2026.
ā ļø Alibabaās AI Coder Sparks Security Fears: Qwen3-Coder impresses on benchmarks but raises alarms in the West over potential backdoors, data exposure, and ties to Chinaās national security laws.
š¬ Amazon Backs AI TV Startup Fable: With fresh funding, Fable launches Showrunner ā a āNetflix of AIā platform where users can generate entire TV episodes from a few typed prompts.
šŖŖ Google Rolls Out AI Age Checks: Using search and video habits, Google will auto-restrict under-18 usersālimiting ads, app access, and YouTube contentāwith ID checks for mistaken flags.
Chinaās GLM 4.5 rivals top closed models with strong reasoning, coding, and agentic skillsāsolving puzzles, simulating games, and powering interactive 3D demos.
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Matthew Berman & The Forward Future Team
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