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- Harvard AI Finds the Mutations That Medicine Missed
Harvard AI Finds the Mutations That Medicine Missed
Plus: NVIDIA rethinks AI scaling

Welcome Humans🤖,
Here is what we have Today:
👓 Alibaba's Quark S1 undercuts Meta with similar features.
👨💻 Claude's new agents work like engineers.
🧬 PopEVE revolutionizes genetic testing with fewer false alarms.
🚀 Nvidia tiny models outperform giants at fraction of cost.
💼 New Job Opportunities
HARVARD AI
🧬 Harvard AI Solves Genetic Mysteries Hidden for Decades
Harvard Medical School just dropped a breakthrough in the world of genetics.
Meet popEVE, an AI model that identifies harmful DNA mutations across an entire genome — and it just outperformed DeepMind’s AlphaMissense with dramatically fewer false alarms.

Image source: HARVARD AI
🔍 How PopEVE Works
🔬 Analyzes mutation patterns across hundreds of thousands of species
🧬 Cross-checks results against massive databases of healthy human genomes
🎯 Designed to pinpoint which DNA variants actually cause disease — not just flag possibilities
📊 Real-World Results
👶 Tested on 31,000 children with severe developmental disorders
🧩 Solved ~1/3 of previously unsolved cases
🧠 Identified 120+ genes never before linked to the diseases
✔️ Independent research teams have already verified ~24 of them
⚖️ Accuracy That Actually Matters
⚠️ AlphaMissense warns 44% of people carry dangerous mutations
🧪 PopEVE cuts that to 11% — slashing false positives and preventing unnecessary panic
🌍 Why It Matters
Rare genetic diseases leave families searching for answers for years.
AI systems like PopEVE are finally cracking the code — revealing genes scientists never knew to examine, and delivering diagnoses that can change treatment and change lives.
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NVIDIA
📈 NVIDIA Just Challenged AI’s Biggest Belief
Maybe the future of AI isn’t about scaling up — but thinking smarter.
NVIDIA and the University of Hong Kong just dropped a research paper suggesting that tiny models + intelligent orchestration may outperform giant frontier systems… at a fraction of the cost.

Image Source: NVIDIA
🧠 Meet ToolOrchestra
Instead of one massive model doing everything, ToolOrchestra trains an orchestrator that decides:
🤔 when to reason internally
🛠️ when to call specialized tools or other models
🧮 how to solve tasks using the best resource for the job
🥇 The Results? Surprising.
🚀 An 8B model using ToolOrchestra outperformed GPT-5 and Claude Opus 4.1 on Humanity’s Last Exam
📊 Scored 37.1%, while being 2.5× more efficient & faster
🔄 Adapted smoothly even when tested with unseen tools, proving flexibility
💸 Avoided overspending by only calling strong models when truly needed — something prior agents failed at
🌍 Why It Matters
This aligns with Ilya Sutskever’s recent perspective:
The next AI breakthrough may not be bigger models — but better coordination.
If orchestration beats scaling, the smartest conductor—not the strongest model—wins the race.
Full story — ToolOrchestra: The Tiny Model That Outsmarted Giants
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Trending Today
Alibaba kicks off sales of Quark S1 smart specs in China for $537, Quark S1 undercuts Meta's $799 Ray-Ban Display glasses while packing many similar features: micro-OLED displays, cameras, bone conduction audio, and swappable batteries. The AI glasses integrate with Alibaba’s entire ecosystem, with international versions set to drop next year.
DeepSeek has released DeepSeek-Math-V2, an open-source math model that reaches gold-medal performance on IMO 2025 tasks. It scored 118 out of 120 on the 2024 Putnam exam and solved 5 of 6 IMO problems, beating top human results. On IMO ProofBench it reached 61.9 percent, close to Google’s Gemini Deep Think and far above GPT-5. The model uses a generator-verifier setup where one model writes a proof and another checks each step, helping it fix weak logic.
OpenAI is updating ChatGPT to allow use of voice right inside a normal chat instead of switching to a separate screen. You can now talk to ChatGPT while watching its replies appear on the page, including any images or maps it shows. The new setup lets you move between talking and typing more smoothly, though you still have to tap “end” to stop voice input.
Anthropic is leveling up Claude agents to work more like human software engineers. The new two-agent system changes the game. An initializer agent sets up the project, seeds a git repository, and logs progress, while a coding agent tackles features step by step, produces clean, documented outputs, and runs end-to-end tests via Puppeteer. Early trials show agents can now sustain continuity across days-long projects, though Anthropic is still testing whether a multi-agent setup could push performance even further.
Voice AI: Get the Proof. Avoid the Hype.
Deepgram interviewed 400 senior leaders on voice AI adoption: 97% already use it, 84% will increase budgets, yet only 21% are very satisfied with legacy agents. See where enterprises deploy human-like voice AI agents - customer service, task automation, order capture. Benchmark your roadmap against $100M peers for 2026 priorities.
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