🗞️ THE WEEKEND RECAP
Top Stories You Might Have Missed
🚗 Waymo Halts SF Robotaxi Rides: Waymo paused its San Francisco service after multiple robotaxis froze during a December 20 blackout. The glitch raises safety questions about AVs in emergency conditions.
💸 OpenAI Eyes $100B Mega-Round: Reports say the ChatGPT maker seeks up to $100 billion at an $830 billion valuation by early 2026, underscoring soaring AI compute costs amid intensifying competition.
🥭 Meta Preps “Mango” AI Model: Meta is developing a new image- and video-focused AI system, alongside a text model called Avocado, targeting a first-half 2026 release to compete in generative media.
🌦️ NOAA Deploys AI Weather Forecasts: The agency launched machine-learning models using up to 99% less computing power than physics systems, speeding forecasts and extending outlooks as climate extremes intensify.
🤖 Google Unveils FunctionGemma Edge AI: The 270-million-parameter model runs locally to translate natural-language commands into device actions, boosting privacy and speed while cutting cloud costs for mobile and IoT apps.
🚀 Yann LeCun Launches AMI Labs: The Turing Award winner confirmed his world-model AI startup, chaired by LeCun and led by Alex LeBrun, reportedly seeking €500 million at a roughly $3.5 billion valuation.
🚫 YouTube Axes AI Fake Trailer Channels: The platform terminated Screen Culture and KH Studio, which drew over a billion views using AI-generated movie trailers, citing misleading metadata and policy violations.
💰 Side Hustle Pays $200 an Hour: A 34-year-old entrepreneur earns nearly $300,000 training AI models part-time, highlighting rising demand—and pay—for human experts shaping enterprise artificial intelligence.
🪧 POWERED BY ADOBE
Adobe Brought Popular Apps Into ChatGPT for Free
Adobe is bringing three of its industry-leading apps — Adobe Photoshop, Adobe Express, and Adobe Acrobat — directly into ChatGPT.
With Adobe apps for ChatGPT, anyone can edit photos, create designs, and transform PDFs in the most intuitive way possible: using their words inside the chat.
Adobe apps for ChatGPT expands Adobe’s reach to one of the world’s most popular conversational AI platforms with over 800 million weekly users, introducing Adobe’s category-defining tools to people who may not have used Adobe’s apps before — through a surface they already use every day.
📽️ VIDEO
AI News With Matthew Berman
Gemini 3 Flash tops benchmarks on speed and price, NVIDIA drops open Neotron models, OpenAI upgrades images, Meta expands SAM, and more.
📺️ FROM THE LIVE SHOW
Will voice be the dominant AI interface? Maybe not.Spenser Skates (@spenserskates) on why the jury is still out on voice-first computing:“It still hasn’t replaced the keyboard, mouse, or touch screens. The jury is still out.”The core issue is feedback and latency:“With… pic.twitter.com/RrJiXkZRX5
@ForwardFutureView post on X🔲 SEMICONDUCTORS
China’s EUV Push Edges Forward, but ASML’s Monopoly Isn’t Falling Yet
China is accelerating a state-backed effort to develop its own extreme ultraviolet (EUV) lithography system, aiming to break the long-standing monopoly held by ASML after years of export controls blocked access to its machines. Reuters reports that a working prototype has emerged in Shenzhen, supported by former ASML engineers and massive government funding, with optimistic projections pointing to early EUV-based chips by 2028–2030.
If achieved, it would allow China’s foundries—led by SMIC—to produce advanced chips without Western technology. Why it matters: EUV lithography is essential for cutting-edge processors, and replicating it would weaken a critical choke point in US-aligned tech controls. Still, experts caution that matching ASML’s full ecosystem—especially optics and supply chains—remains the hardest barrier. → Read the full article here.
👨💻 WORKFORCE
AI Job Panic Misses the Point: New Roles Favor Human Skills
The Recap: Despite fears of mass job losses from artificial intelligence, AI is already creating new occupations centered on training, deploying, and governing AI agents. The Economist outlines a growing ecosystem of roles—from expert data annotators to forward-deployed engineers and AI governance specialists—that combine technical literacy with interpersonal and domain expertise. The takeaway: as coding becomes automated, human judgment, communication, and trust-building are becoming more valuable, not less.
Highlights:
AI training work is shifting toward high-skill domain experts in fields like law, finance, and medicine; Mercor, a startup in this space, was valued at $10 billion and pays contributors about $90 an hour on average.
Demand is rising for “forward-deployed engineers,” a hybrid role that embeds AI systems inside organizations; Y Combinator companies now list 63 such openings, up from four a year earlier, according to CEO Garry Tan.
As AI systems interact directly with customers and the public, companies increasingly need workers who combine technical knowledge with empathy and communication skills, such as remote human troubleshooters for Waymo’s robotaxis.
Governance roles are growing fastest of all: a Cisco-led AI Workforce Consortium study found AI risk-and-governance specialists are expanding more quickly than even AI programming jobs.
Forward Future Takeaways:
This article reframes AI not as a pure labor-destroying force but as a catalyst for reshaping work around skills machines lack—judgment, empathy, and accountability. The fastest-growing AI jobs sit at the boundary between technology and human systems, where failure has social or organizational consequences. The open question: can education and training systems adapt quickly enough to prepare workers for these hybrid roles? → Read the full article here. (Paywall)
🦾 ROBOTICS
Skana Robotics Uses AI To Let Underwater Robot Fleets Communicate Covertly
Tel Aviv–based Skana Robotics says it has developed a new AI-driven system that allows fleets of underwater robots to communicate with each other over long distances without surfacing. The capability, built into its SeaSphere fleet management software, enables autonomous vessels to share data, adapt tasks, and coordinate missions while remaining submerged—a key limitation in underwater operations.
Unlike today’s large language models, Skana relies on older, mathematically driven AI algorithms designed for predictability and explainability. The company is targeting defense and infrastructure security customers as maritime threats rise in Europe. → Read the full article here.
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Matthew Berman & The Forward Future Team
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