Posted inBlog
The Part of the Loop Your Agent Shouldn’t Own
There’s a moment in most agent deployments where someone asks the wrong question. They ask: "How much can this agent handle on its own?" That's not the useful question. The…
Posted inIdeas for AI
OPUS 5 CLICK NOW
Idea #1Safety constraints and general capability improvements are not inherently in tension — a model can reduce harmful capability in a specific domain while simultaneously becoming more capable overall, and…
Posted inIdeas for AI
What did Anthropic do?! (Opus 5)
Idea #1Cost per task — not price per token — is the only metric that tells you what you're actually paying for AI work. Price per token is a seductive…
Posted inBlog
The Real Cost of Open Weights
When Moonshot AI announced that Kimi K3's weights would be downloadable, the investor reaction was familiar: chip stocks wobbled, demand-collapse narratives resurfaced, the same debate that followed DeepSeek R1 in…
Posted inBlog
The Proof of Thought Problem: What AI Detection Misses
For a long time, length was a rough proxy for effort. A thousand-word essay meant someone spent time with an idea. A short tweet meant something quick and throwaway. That…
Posted inBlog
The redaction reflex: why stripping sensitive data is a tactic, not a privacy strategy
When most of us started experimenting with AI at work, we fed it sanitized material: generic scenarios, invented names, toy datasets. The gap between what we were allowed to do…
Posted inBlog
Stop Prompting. Start Briefing.
The problem isn't your prompts. It's that you're still thinking in prompts at all. When you treat AI like a smart search engine — type a request, see what comes…
Posted inIdeas for AI
Your Voice Agent Doesn’t Need a Frontier Model – Joel Allou & Ornella Bahidika, Microsoft
Idea #1In voice applications, latency is the primary constraint — and frontier models that reason are structurally wrong for the job, regardless of answer quality. The human brain interprets silence…
Posted inIdeas for AI
Enterprise Agents Have a Structure Problem – Ishita Daga, Tesla
Idea #1Enterprise data agents need a strict, explicit hierarchy of sources of truth rather than treating all knowledge bases as equally valid inputs. The key insight is that sources differ…
Posted inIdeas for AI
When Agents Meet Physical Data: The Other Physics of Agent Harnesses – Dmitry Petrov, DataChain
Idea #1Unstructured physical data has a hidden complexity explosion that breaks both common storage strategies, and Pydantic schemas are the right unification layer. A directory of video files looks trivially…