📉 Google–Meta Talks Shake NVIDIA Shares
NVIDIA stock fell after reports that Google may sell its TPU AI chips to Meta in a multibillion-dollar 2027 deal. Google’s plan to offer TPUs directly to cloud customers could threaten as much as 10% of NVIDIA’s revenue. Rival AMD also dropped on the news as major tech firms expand in-house chip efforts.
🚀 Trump Unveils Genesis AI Initiative
Trump signed an order launching the Genesis Mission to expand federal AI research and unlock vast government datasets. The plan boosts computing resources and accelerates scientific applications across fields like biotech and energy. Michael Kratsios will lead the effort, with agencies expected to integrate data within months. Officials say sustained federal investment is key to U.S. AI leadership.
📜 Bipartisan Bill Targets AI-Fueled Fraud
A new House bill would tighten penalties for AI-enabled scams and outlaw deepfake impersonations of federal officials. It doubles fines for AI-assisted financial fraud and adds AI deception to mail and wire fraud statutes. Lawmakers cite rapid growth in high-quality AI forgeries. Experts warn existing systems struggle to keep pace.
🛍️ OpenAI, Perplexity Push Into AI Shopping
OpenAI and Perplexity launched rival AI shopping tools ahead of the holidays, offering personalized product recommendations. Some argue niche platforms still outperform general chatbots thanks to domain-specific data. Larger players gain leverage through built-in user bases and retail partnerships like Shopify.
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📺️ FROM THE LIVE SHOW
Why the U.S. Needs Frontier-Level Open Models
"Reflection is building the U.S. DeepSeek.”@MishaLaskin, CEO of @reflection_ai, on why the U.S. needs frontier-level open models.“We’re building frontier open models of Western provenance. It’s important to have small models people can tinker with, but it’s even more… pic.twitter.com/QHYEO3j6Eh
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Opus 4.5 Is Here
Opus 4.5 lands as Anthropic’s strongest coder yet, topping key benchmarks and boosting efficiency while introducing smarter, lighter agentic tool use.
🧮 SUPERCOMPUTING
DOE Launches Genesis to Unify AI, Labs, and Supercomputing for Faster Science
The U.S. Department of Energy (DOE) unveiled Genesis Mission, a national initiative to link the country’s top supercomputers, AI systems, quantum technologies, and scientific instruments into a unified discovery platform. Announced in partnership with the White House Office of Science and Technology Policy, the effort aims to double U.S. research productivity within a decade by pairing scientists with AI that can reason, simulate, and experiment at high speed.
The platform will support breakthroughs across fusion, advanced nuclear, materials science, climate modeling, quantum algorithms, and national-security applications. DOE emphasizes that the mission augments—not replaces—scientists by generating higher-fidelity data and accelerating experimentation timelines. → Read the full article here.
📚 EDUCATION
Humanities Professors Are Rewriting Their Playbook for the A.I. Era
The Recap: Boston College English professor Carlo Rotella describes how the rise of generative AI has pushed humanities instructors to redesign courses around face-to-face discussion, writing processes, and “AI-resistant” assessments. Rotella argues that students largely want to think for themselves, countering last year’s widespread fears that chatbots would collapse reading and writing in higher education. His piece highlights early evidence — from Boston College to Penn State and UC Berkeley — that doubling down on human-centric teaching is not only feasible but is increasing student engagement.
Highlights:
Humanities instructors, including Carlo Rotella at Boston College, redesigned fall 2025 courses with pen-and-paper exams, oral assessments, and process-focused writing to reduce AI outsourcing.
Penn State’s Stuart Selber, overseeing writing instruction for 18,000 students, reports that the feared AI-driven collapse of reading and writing “has not imploded,” with student engagement holding steady.
UC Berkeley’s Scott Saul adopted rapid, detail-oriented reading quizzes — modeled on Nabokov’s rigorous Cornell exams — to rebuild deep attention to texts.
Faculty emphasize in-class community and device-free discussions, echoing UCLA neuroscientist Maryanne Wolf’s warning that relying on AI can erode key cognitive skills like inference and perspective-taking.
Forward Future Takeaways:
Humanities faculty aren’t fighting AI with more tech; they’re strengthening the one advantage machines can’t replicate; human presence, interpretation, and community. The shift suggests a broader future in which education becomes less about producing text and more about cultivating meta-skills like judgment, adaptability, and deep reading. → Read the full article here. (Paywall)
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🛰️ NEWS
What Else is Happening
🪨 AI Maps Bigger Lithium Find: Fleet Space used satellite-driven sensing to expand a Quebec lithium estimate to 329M metric tons, saying its fast targeting hints at district-scale potential.
🤔 Perplexity Downloads Plunge: New third-party data shows global installs down 80% in six weeks, suggesting earlier growth was driven mainly by paid marketing rather than sustained organic demand.
🫧 NVIDIA Rebuts Enron Claims: The company rejected investor accusations of Enron-style accounting after posting $57B revenue, arguing critics misread its filings amid wider AI-bubble concerns.
🎮 Houser Downplays AI Creativity: Rockstar co-founder Dan Houser says AI helps with repetitive tasks but lacks the nuance for real game creativity, calling industry hype overstated.
🤥 Deloitte Flags Fake Citations Again: A $1.6M Canadian health report was found to include fabricated, likely AI-generated citations, marking Deloitte’s second such incident this year despite its denials.
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