There's a new wave of GEO-over-SEO tooling companies, Profound being the most notable alongside daydream that are reframing where & how brands fight for visibility. They shift budgets from traditional keyword-rank dashboards toward “model-mention” analytics &

This was a solid listen from Latent.Space w/ severe; key ideas, Noam Brown emphasized that the recent advances from OpenAI (the o-series reasoning models, Deep Research, Reinforcement Fine-Tuning) signal a decisive shift from training-time scaling to test-time compute (TTC):

🗓️ 2nd edition of⚡️AI Pulse: The past week reset the pieces on the global AI chessboard & had some interesting implications for AI in India🇮🇳 Executive Summary: Meta's ~$14.5B non-voting, 49% bet on Scale AI telegraphs that curated data + annotation talent are now the hard

.Andrej Karpathy's framing crystallizes something fundamental here Context engineering represents a paradigm shift from deterministic prompt optimization to probabilistic context orchestration - fundamentally changing how we architect AI systems. Industrial-grade LLM/AI applications

RL-fine-tuning (RLFT) & declarative self-improvement (DSI) have crossed the “works-out-of-the-box” threshold. Off-the-shelf PPO/GRPO variants, abundant synthetic reward signals & turnkey infra (OpenAI Responses API + Agents SDK, DSPy) now deliver upto +20-60 pp task lifts

🗓️ 3rd edition of⚡️AI Pulse (21st-27th June '25): This week, AI’s scoreboard shifted - from parameter counts to watts, wafers & rulebooks 🇮🇳🇺🇸 1/ Infra is increasingly becoming the new edge: - White House drafts executive orders to unlock grid access & federal land for AI

Good call by Ethan Mollick Jay Hack From my vantage point, Voice AI is shifting from novelty (smart speakers, "fake friends") to mission-critical agentic workflows wherever hands-busy, high-stakes or multi-language interactions block productivity or revenue. Three seams are

Solid work out of Lossfunk shikhar Treating GPU as an evolution arena & moving away from "write-once, run-many" to "spawn-many, distil-one" could be an interesting idea for further work Sharing some thoughts outside-in that might be useful to tinker more with: 1/ GPU

🗓️ AI Pulse⚡️| June 28–July 6: Power, Talent, Paywalls, Services & more in AI in the past week in India &🌏 🎬 TL;DR: This week was about securing power, distribution rights to the next interface & access rights to the best data sets + talent to build the next set of AI

An honour to host Vishal Misra (Vice Dean of AI Columbia Engineering & the accidental inventor of RAG) for an exclusive session w/ Bangalore's top AI builders. Vishal was predicting GPT's capabilities & limitations much before anyone else. We skipped the hype & dove deep into what's next🧵

I've followed Sachin's love for RL for 2+ years at this point & it's so great to see him help ship this This is interesting for a whole host of reasons but in particular because "scope" is beating "scale" Enterprise AI is tilting from “giant‑generalist” AGI aspirations toward

Agents shouldn’t break like cheap pens 🖊️ Pumped to see Composio bag $25M Series A led by friends at Lightspeed + a dream bench of operators to ship the "skill layer" where agents learn-on-the-job The current traction numbers are 🔥- With 100k devs, 10M+ daily calls, it

A telling chart from Latent.Space: If you trust LMsys Elo, GPT-5 now sits at the capability apex - but not at the cost apex. That’s great for OpenAI’s brand & for high-stakes work; it’s weaker for the long tail of agentic, retrieval-heavy tasks where Gemini’s