Day 11/100: The Models Learned to Cheat, and the Fixes Are Not on Track
18 min
I attended the Hinton Lectures in Toronto. Here is what the evidence on reward hacking, AI oversight, and human control means for people building agents.
A daily #100DaysOfAI blog on AI and real-world examples shaping how we build software.
18 min
I attended the Hinton Lectures in Toronto. Here is what the evidence on reward hacking, AI oversight, and human control means for people building agents.
19 min
Agents can now be charged at the door. Who sets the price, and who sets the policy on what agents can do: allowed, or not?
17 min
Karan Balaji sat down with Ram K Pari, a friend since school who is now finishing a PhD in neural engineering, working on speech perception for elderly people. They talked about why AI remixes rather than invents, why students fall into a Dunning-Kruger trap when they lean on AI, where a beginner can still win, why design still needs a designer, the story of a million tokens spent hunting a patch models hallucinated, and the rule to take into tomorrow: treat every AI output as a draft from a confident colleague and verify it. Read the source article at blog.karanbalaji.com: https://blog.karanbalaji.com/day-9-100-ai-is-a-tool-not-an-authority
18 min
I attended the Hinton Lectures in Toronto. Here is what the evidence on reward hacking, AI oversight, and human control means for people building agents.
19 min
Agents can now be charged at the door. Who sets the price, and who sets the policy on what agents can do: allowed, or not?
17 min
Karan Balaji sat down with Ram K Pari, a friend since school who is now finishing a PhD in neural engineering, working on speech perception for elderly people. They talked about why AI remixes rather than invents, why students fall into a Dunning-Kruger trap when they lean on AI, where a beginner can still win, why design still needs a designer, the story of a million tokens spent hunting a patch models hallucinated, and the rule to take into tomorrow: treat every AI output as a draft from a confident colleague and verify it. Read the source article at blog.karanbalaji.com: https://blog.karanbalaji.com/day-9-100-ai-is-a-tool-not-an-authority
25 min
Agents are becoming the interface between people and software. Cloudflare's data shows bots already pass humans on the web, and the agent share is the fastest growing part. Here is how agents connect to your app, why MCP is changing, and what to build so your site can serve them.
15 min
AI made content easier to produce. It also made original experience, crawlable pages, and thoughtful distribution more valuable. Here's how I made my site easier for people and agents to discover.
5 min
As of end-2025, offline AI is underserved yet scaling rapidly, with the global AI market projected to grow from USD 233.46 billion in 2024. Challenges include hardware-software gaps, where models grow faster than device capabilities, but solutions like NPUs in laptops address this by enabling local runs of large language models (LLMs). Decentralized infrastructure and open-source fine-tuning are key trends, fostering specialized models for edge use.
5 min
Vercel has just launched AI SDK 6, a significant update to their TypeScript toolkit designed for building AI-powered applications. This release builds on the SDK's foundation, offering enhanced capabilities for developers working with large language models (LLMs) and integrating AI seamlessly into web and server-side projects. With over 20 million monthly downloads, it's a go-to resource for creating everything from simple chatbots to sophisticated agents.
4 min
We dive into two groundbreaking advancements from Google that are reshaping how AI agents interact with users and developers. A2UI, an open-source protocol for agent-driven user interfaces, and the Interactions API
4 min
Discover Generative UIs where AI builds adaptive interfaces in real time. See Gemini 3 examples, 2025 use cases, and what’s coming in 2026.
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