Good morning, it’s Tuesday. Google’s Gemini just gained real-time vision powers, researchers are finding clever ways to cut energy use, and Perplexity eyes TikTok, again.
In today’s Forward Future Original, we’re heading to the stars to see how AI-powered robots are transforming space exploration—from autonomous Mars rovers to futuristic Moon builders.
📊 MARKET PULSE
UAE Commits $1.4 Trillion to U.S. AI and Tech Sectors
In a landmark move, the United Arab Emirates has pledged a 10-year, $1.4 trillion investment in the United States, focusing on artificial intelligence (AI) infrastructure, semiconductors, energy, and manufacturing. This commitment aims to significantly bolster the U.S. tech landscape and deepen economic ties between the two nations. → Continue reading here.
🗞️ YOUR DAILY ROLLUP
Top Stories of the Day
👁️ Gemini Gains Real-Time Screen and Camera Vision
Google’s Gemini now offers real-time screen and camera analysis for select Google One AI Premium subscribers. Powered by “Project Astra,” the new features let Gemini read phone screens and interpret live camera feeds to answer questions instantly. A Reddit user demonstrated the screen-reading ability, while Google’s demo showed it helping with color selection for pottery. This rollout puts Google ahead of Amazon’s upcoming Alexa Plus and Apple’s delayed Siri upgrade.
🙅 FuriosaAI Rejects $800M Meta Acquisition Offer
South Korean AI chip startup FuriosaAI turned down an $800 million buyout offer from Meta, citing disagreements over business strategy and structure. Meta, aiming to reduce reliance on NVIDIA for AI chips, has been developing custom chips and investing heavily in AI. FuriosaAI is instead raising $48 million to focus on its AI chips, Warboy and Renegade, which have been tested with LG AI Research and Aramco. The startup plans to launch the RNGD chip later this year.
🛒 Perplexity Renews Bid to Buy TikTok, Pledges Transparency
AI startup Perplexity is again proposing to buy TikTok's US operations, promising to rebuild its algorithm, open-source the "For You" system, and add community notes for fact-checking. Perplexity argues that this would prevent ByteDance from retaining control and avoid creating a monopoly. The proposal includes upgrading TikTok’s AI with NVIDIA Dynamo and enhancing search using Perplexity’s tech. With TikTok’s US arm valued at up to $50 billion, funding remains a major hurdle.
🙏 US-China AI Cooperation Needed, Says NCUSCR Head
Stephen Orlins, head of the National Committee on US-China Relations, called for AI cooperation between the US and China to avoid redundant efforts. Speaking at the China Development Forum, Orlins stressed that collaboration could ease tensions and improve efficiency. AI has become a flashpoint between the nations, with the US imposing sanctions to limit China’s military-related AI advances. Orlins’ remarks highlight the growing strategic importance of AI in global relations.
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⚡️ ENERGY
Can AI Be Less Power-Hungry? Researchers Are on the Case
The Recap: AI’s massive energy consumption is becoming a serious problem as data centers struggle to keep up with demand. Researchers are exploring ways to make AI more efficient through model optimization and smarter infrastructure, but the lack of transparency from major AI companies is complicating efforts to track actual progress.
In November 2024, the US Federal Energy Regulatory Commission (FERC) rejected Amazon’s request to buy 180 megawatts of power directly from a nuclear plant, citing concerns about fairness in the energy market.
AI models, starting with AlexNet in 2012, have grown exponentially in size and complexity, driving massive increases in data center power consumption.
Large Language Models (LLMs) like GPT-4 consume enormous amounts of energy during both training and inference, with training alone requiring an estimated 50 GWh — enough to power a town for a year.
Techniques like pruning (removing unused parameters) and quantization (using smaller data formats) are helping reduce AI models’ memory and computational demands.
The ML Energy Initiative developed Perseus, a tool that balances workloads across GPUs to cut energy consumption by up to 30% without slowing down overall performance.
The Lawrence Berkeley Lab estimates that US data centers could consume between 325 and 580 TWh annually by 2028 — up to 12% of total US electricity consumption.
AI power use remains poorly understood because companies like OpenAI and Google don't disclose actual consumption data — making it hard to track real progress.
Forward Future Takeaways:
AI’s growing energy footprint presents a major challenge for infrastructure and sustainability. While efficiency improvements through model optimization and smarter data center management are promising, the lack of transparency from AI companies makes it difficult to assess true progress. Without better data and benchmarking, reducing AI’s energy consumption will remain more art than science. → Read the full article here.
👾 FORWARD FUTURE ORIGINAL
Meet the Robots Powering Space Exploration
In a clean room in Germany, engineers toast a milestone as NEURA Robotics secures a record-breaking €120 million (~$123 million) investment to advance “cognitive” humanoid machines. Across the globe at a tech expo in Las Vegas, a robot named Nylo banters with trade show attendees, its glowing blue “eyes” and witty retorts showcasing how far AI in robotics has come. These scenes, though worlds apart, are threads of the same story: a new generation of intelligent robots is emerging, one that doesn’t stay confined to factory floors or gadget showcases, but is blasting off to the final frontier.
AI-powered robotics are playing an increasingly pivotal role in space exploration. From autonomous rovers scouting alien terrain to robotic arms assembling structures in orbit, innovations by agencies and startups are turning science fiction into tangible reality. → Continue reading here.
💼 WORKFORCE
AI Job Displacement: Gradually, Then Suddenly?
The Recap: AI adoption is accelerating, but large-scale job displacement hasn’t hit yet — though that may change soon. Historical patterns suggest that AI-driven job loss could follow a "gradually, then suddenly" trajectory, where steady adoption gives way to rapid upheaval during an economic downturn.
40% of employers expect to reduce their workforce between 2025 and 2030 due to AI-driven automation, according to a WEF survey.
Goldman Sachs predicted AI could expose 300 million full-time jobs to automation, leading to “significant disruption.”
Despite predictions, only 17,000 U.S. jobs were lost to AI between May 2023 and September 2024, indicating that displacement remains low — for now.
AI adoption is booming: 78% of businesses now use AI in at least one business function, up over 40% from 2023 (McKinsey).
AI is reshaping software development first — 25% of Y Combinator startups have AI-generated codebases at 95% automation.
A potential recession in 2025 (40%-50% likelihood) could accelerate automation as companies seek cost-cutting solutions.
Forward Future Takeaways:
AI's impact on jobs is poised to accelerate, especially if economic pressures push businesses toward automation. Software development is the first canary in the coal mine, but other white-collar jobs are at risk. If a recession hits, companies could move from gradual AI adoption to rapid job replacement — marking a permanent shift toward an AI-driven workforce. → Read the full article here.
🛰️ NEWS
What Else is Happening
🎁 Hastings’ $50M AI Gift: Reed Hastings is donating $50M to Bowdoin College to explore A.I.'s impact on work, relationships, and society.
📈 Ant Cuts AI Costs: Ant Group is using Chinese and U.S. chips to reduce AI training costs by 20% and boost healthcare solutions.
⌚ Apple Watch Adding Cameras: Apple may add cameras to future Watches by 2027 to power "Visual Intelligence" for real-time AI image analysis.
🏗️ NVIDIA to Build AI Hub: Tycoon Strive Masiyiwa’s Cassava Technologies is partnering with NVIDIA to open Africa’s first AI factory by June 2025.
👨💻 How Coders Use AI: A survey of 730 developers shows mixed AI adoption—some rely on it daily, others avoid it, highlighting industry divide.
🧩 Sakana AI's Sudoku Challenge: Sakana AI is using complex Sudoku puzzles to train AI reasoning, aiming to mimic human problem-solving creativity.
📽️ VIDEO
Vibe Jam, The BEST Small LLM, Claude Search, OpenAI Audio Models, and more!
Matt breaks down the latest AI news, covering the rise of Vibe coding with a Fortnite-style game and Vibe Jam contest, OpenAI's powerful new audio models, Claude's web search upgrade, and Gemini's in-browser coding support. Get the full scoop! 👇
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