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No‑BS AI Briefing is for builders who don’t have time for hype. Each episode focuses on a handful of high‑signal stories in AI and AGI, unpacked in simple language with a builder’s perspective. You’ll hear what changed, why it matters, and how you can experiment with the tools, ideas, or strategies yourself—whether you’re leading a team, shipping a startup, or exploring AI side projects.
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Signup to Generate a PitchNo‑BS AI Briefing is a news podcast hosted by Vikash, with 97 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
Vikash hosts No‑BS AI Briefing, a news show with 97 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
No‑BS AI Briefing
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No‑BS AI Briefing
In this episode of No-BS AI Briefing, Vikash dives into Anthropic's game-changing update for Claude Code, making its "auto mode" the default for Pro, Max, and Team users. This significant shift enables more autonomous, multi-step coding workflows with minimal human intervention, moving AI from a simple tool to an agentic partner for builders. We also unpack Datavault AI's $94.5 million acquisition of CyberCatch, a move that strongly validates the AI-enabled cybersecurity and continuous compliance market for founders and offers a clear exit path for builders in this niche. Finally, we discuss Kog's new GPU Inference Optimization Engine, a software-only solution promising up to 3,000 tokens per second from standard datacenter GPUs. This could dramatically reduce latency and costs for real-time AI applications and agentic workflows, opening up new product possibilities. For the deep dive, Vikash focuses on Claude Code's auto mode, explaining why this shift from step-by-step approvals to autonomous execution is a critical step towards true AI agents. He breaks down who should care—from founders to indie hackers—and offers a practical mental model for integrating this new level of AI autonomy. Today's practical takeaway: Experiment with Claude Code's auto mode on a targeted refactor for 60 minutes to understand its capabilities and limitations, and how it could reshape your team's development velocity. Follow Vikash on LinkedIn for more insights and to suggest topics for future episodes. Send us Fan Mail Support the show
No‑BS AI Briefing
This week, Vikash breaks down Google's Gemini 3.7 Flash, Lovable's massive $400M raise for AI coding, and Anthropic's $6B acquisition talks. Learn what these high-signal AI developments mean for founders, product leaders, and engineers, plus a practical takeaway for your team. Send us Fan Mail Support the show
No‑BS AI Briefing
Welcome to the No-BS AI Briefing! This week, we're diving deep into some truly impactful news for anyone building with AI. Here's what we covered: * **xAI launches Grok 4.6 with enhanced agent capabilities** and broader distribution (via xAI News). This means better autonomous systems and easier integration for builders. * **AWS cuts LLM inference costs by up to 75% with tiered KV cache** (via AWS Machine Learning Blog). This is a game-changer for agent economics, making long-context and multi-turn AI much more viable. * **Twitch auto-opts streamers into Amazon AI training (opt-out required)** (via 404 Media). A controversial move that highlights regulatory and ethical risks around data usage for AI. * **Sequoia leads $12M seed for Preview, an AI-native video platform** (via Sequoia Capital). Validates AI-native creative tools embedded in professional workflows. * **EU AI Act transparency code now enforceable for new models** (via explainx.ai). New EU deployments must now support detectable, machine-readable watermarks. **Deep Dive:** We focused on AWS's monumental 75% inference cost reduction. This isn't just an incremental saving; it fundamentally reshapes the landscape for AI agents, making previously cost-prohibitive applications suddenly viable. We broke down what happened, why it matters for founders, PMs, and engineers, and what this means for the future of AI development. **Practical Takeaway:** Don't just hear about it, try it! We discussed how to prototype a long-running agent on AWS’s tiered KV cache to understand its impact on your specific use cases. Connect with Vikash Sharma on LinkedIn for questions or topic suggestions. Send us Fan Mail Support the show
No‑BS AI Briefing
In this episode, Vikash covers NVIDIA's new Nemotron 3.5 Lightning for local AI agents and the massive $1.1B funding for River AI, signaling a major shift towards model ownership. We break down what this means for builders looking to reduce API dependency, cut costs, and build proprietary AI. Plus, Spotify's new "AI Persona" labels, the IBM and Together AI partnership for open-source inference, and Target's new Chief AI Officer. Get a practical takeaway to refine your AI product strategy today. Send us Fan Mail Support the show
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