Expert profile
Founder & AI Product Leader
Yash Thakker is a Generative AI expert with over 12 years of experience in product leadership and technical strategy. As the founder of explainx.ai, he has taught over 300,000 learners and built AI platforms serving millions of users globally. He specializes in Agentic AI, Multimodal RAG, and the intersection of LLMs with consumer hardware.
Microsoft researchers debunk 8 GenAI coding myths with data — the 10x developer myth, lines-of-code metrics, and why 14% coding time changes everything.
A Reddit user says Fable 5 in bypass-permissions mode found a RAT that Defender missed. Here's the technical breakdown and the real security tradeoff behind it.
Google scrapped its standalone AI Studio mobile app one day before launch, despite 800,000 pre-registrations. Features move into Gemini instead.
Hop.Earth is a browser driving game that generates real roads anywhere on Earth in real time from OpenStreetMap and satellite elevation data.
INTERPOL's 2026 African Cyberthreat Assessment: 55% of cybercrime cases now involve AI, losses jumped from $192M to $484M in a year.
Liquid AI's LFM2.5-2.6B runs fully on-device at 220 tok/s on Apple Silicon, beating models nearly 4x its size on tool use and instruction following.
ICML 2026 position paper argues LLMs master induction and deduction but lack abduction — the creative leap Einstein made to reach relativity.
LoopX is a local, agent-agnostic control plane that keeps goals, gates, quota, and evidence stable across long-running Codex, Claude Code, and Cursor work.
Microsoft Orchard: open agentic modeling framework, 73.0% SWE-bench Verified, 0.28s sandbox latency, MIT license. How it compares to Cloudflare Computer and Claude Cowork sandboxing.
Macaron-V1 (Mind Lab): 748B Venti (GLM-5.2 + LoRA) and 50B Tall (Qwen 3.6), 2M context, SOTA on 6/12 tests. How LoRA-based continual learning differs from fine-tuning, RAG, and prompt harnesses.
Mistral's Shieldstral is a 3B open-weights safety classifier that reads your moderation policy as plain text at inference time — no retraining.
NVIDIA's Alpamayo 2 Super is a 34B open-weight reasoning model for AVs, topping LingoQA and licensed for commercial robotaxi deployment.
