Good morning. It's Thursday, January 15, and we're covering healthcare AI, GPT-5 originality, Gemini’s personal intelligence, and more. First time reading? Join a community of 600k+ people keeping up with the future of tech. Sign up here.
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🔢 AI Starts Solving Hard Math
New AI models are beginning to solve high-level math problems once considered out of reach. Researchers found OpenAI’s latest model could produce valid proofs for previously open Erdős problems. Since December, 15 such problems were marked solved, with most crediting AI assistance. Experts say AI is best at tackling simpler, obscure problems and helping formalize proofs. More on this below.
🧠 Gemini Adds Personal Intelligence
Google launched Personal Intelligence for Gemini, letting users connect apps like Gmail, Photos, and YouTube for more personalized help. The feature launches in beta in the U.S. for paid subscribers. Gemini can reason across emails, images, and searches to answer detailed, contextual questions. Google says personalization is opt-in, controllable, and designed with privacy safeguards.
🎭 McConaughey Trademarks Himself Against AI (Paywall)
Matthew McConaughey secured eight U.S. trademarks covering his likeness and voice to fight unauthorized AI-generated fakes. The trademarks include short video clips and his iconic “Alright, alright, alright” line. His lawyers say trademarks could enable federal lawsuits even when AI misuse isn’t clearly commercial. The move reflects growing concern among performers over AI replicas.
🌱 Microsoft Pledges Community-First AI Infrastructure
Microsoft unveiled a Community-First AI Infrastructure plan to guide how it builds and operates data centers in the U.S. The initiative commits the company to covering its own electricity costs, reducing and replenishing water use, and avoiding higher utility bills for residents. It also promises local job creation, higher tax revenues for public services, and investments in AI training and nonprofits.
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📺️ LIVESHOW
“When the internet was slow, Netflix mailed DVDs.""When it got fast, Netflix became a movie studio.”Andrew Feldman, Founder & CEO of @Cerebras, on why speed is suddenly everything in AI infrastructure.“Something has changed in the last month or two. People are finally… pic.twitter.com/36iEMeXeaj
@ForwardFutureView post on X📽️ VIDEO
Anthropic Just Dropped Claude Cowork
Claude Cowork extends Claude Code into a Mac-only AI agent for everyday knowledge work, automating files, browsing, and tasks with safety guardrails.
📊 MARKET PULSE
ElevenLabs Says ARR Topped $330M After Rapid Enterprise Adoption
Voice AI startup ElevenLabs crossed $330 million in annual recurring revenue last year, CEO Mati Staniszewski said in an interview with Bloomberg. Founded in 2022, the company reached $100M ARR in 20 months, then doubled to $200M in 10 months, and added another $130M in just five months.
Staniszewski said adoption is coming from both Fortune 500 companies and startups using ElevenLabs’ voice agents for customer support and experience. The growth underscores accelerating demand for AI-powered voice interfaces across enterprise workflows. → Continue reading here.
👨⚕️ HEALTHCARE
Doctors See Promise for AI in Healthcare, but Not As Patient Chatbots
Clinicians and health-tech experts say AI has clear potential in healthcare—but warn that consumer-facing chatbots like ChatGPT Health may pose risks if they dispense flawed or decontextualized medical advice. Dr. Sina Bari described cases where patients relied on incorrect ChatGPT-generated statistics, even as he welcomed OpenAI’s move to add privacy safeguards.
Industry voices argue that AI’s near-term value lies more on the provider side, automating documentation and administrative work that consumes up to half of physicians’ time. The debate highlights a central tension: expanding access and efficiency versus ensuring safety, accuracy, and regulatory compliance. → Read the full article here.
✨ ORIGINALITY
Can A.I. Generate New Ideas? GPT-5 Tested on Long-Standing Math Problems
The New York Times reported that researchers used OpenAI’s latest model, GPT-5.2 Pro, alongside a formal verification system from startup Harmonic, to help solve a previously unsolved mathematical problem linked to Paul Erdős. The result reignited a familiar debate in science and AI: whether modern systems are genuinely generating new ideas or primarily rediscovering and recombining existing human knowledge. Critics, including Fields Medalist Terence Tao, argued that the solution leaned heavily on established techniques and reflected limited conceptual understanding. Others, such as mathematician Thomas Bloom, countered that the AI’s real contribution was surfacing obscure prior work that human researchers had overlooked.
AI may not yet originate fundamentally new scientific ideas, but it is becoming a powerful amplifier of human expertise. By uncovering forgotten knowledge, narrowing hypotheses, and accelerating experimental paths, systems like GPT-5 are already reshaping how research is conducted. → Read the full article here. (Paywall)
🛰️ NEWS
What Else is Happening
🥼 Anthropic Expands Labs Team: The company scales its experimental Labs unit, tapping Instagram cofounder Mike Krieger to turn Claude’s fast-advancing AI capabilities into future products.
💸 OpenAI Strikes $10B Cerebras Deal: OpenAI signed a multiyear agreement, reportedly worth $10 billion, to access Cerebras’ AI supercomputing power. Why it matters: it diversifies OpenAI’s compute beyond Microsoft and Nvidia.
💰 Skild AI Hits $14B Valuation (Paywall): The robotics software startup raised $1.4B in a SoftBank-led round with NVIDIA and Bezos backing, tripling its valuation in seven months.
⚖️ Oracle Sued Over AI Debt Disclosure: Bondholders allege Oracle hid plans to raise billions in extra debt for its OpenAI AI buildout, triggering losses after a surprise $38B financing.
💸 Microsoft’s Anthropic Bet Grows (Paywall): The tech giant’s spending on Anthropic is on pace to reach $500M, underscoring intensifying competition to secure top AI models and talent.
🧰 TOOLBOX
Trending AI Tools
🌄 InfiniteYou: Open-source diffusion framework for high-fidelity, identity-preserved image generation.
👨💻 BuildShip: Low-code AI platform to build backend workflows, chatbots, and apps with visual nodes.
🔍 DeepResearch: Open-source Alibaba toolkit powering advanced NLP research and applications.
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Matthew Berman & The Forward Future Team
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