A week of intent-based trading for AI agents: five threads from the Hashlock Markets desk The Model Context Protocol surface for crypto trading filled out fast over the last few weeks. Bybit shipped MCP coverage. Gemini added an agentic platform. Alpaca, Kraken, Hummingbot, TraderEvolution, and a handful of community wrappers are all in the same SERP now. The category is real, and it is crowding
OpenAI revenue is still the number people reach for when they want a leaderboard. But the cleaner frame is different: Anthropic appears to be building a different kind of AI business, one centered on enterprise customers, safety positioning, and less dependence on mass-market fame. That distinction matters because public discussion keeps collapsing three separate things into one scorecard: revenue
A journalist recently called out DeepSeek for its "serious lying problem" — the model can write a beautifully crafted biographical sketch in classical Chinese style, but the person's birthplace, mother's surname, and life events are all fabricated. This isn't an isolated incident; it's one of the most stubborn bugs in the LLM industry, and it has a name: AI Hallucination. Right after the May Day h
To address this, I developed Sentinel Mantle, an autonomous agent that monitors on-chain invariants and triggers emergency protection in real-time. The Problem: Invariant Deviation Total Assets≥Total Shares×Exchange Rate The Architecture: Clojure meets Solidity The SentinelGuardian (Solidity) The Watchdog (Clojure) Clojure & args))) Detection: Invariant deviation detected! Response: Automatic
ID generation looks like a small backend decision. In many systems, we simply add an id column, make it the primary key, and move on. But once the table grows, this decision can affect database performance, indexing, pagination, debugging, and how easily the system scales across services. The common choices are: UUIDv4 UUIDv7 Snowflake ID Each one solves the uniqueness problem, but they behave dif
I run agent swarms now. Not "an agent" — agents, plural, in flight at once, each working on a different feature against the same repo. Ten agents per session is normal. Twenty isn't unusual when the spec is well-decomposed. The token math works, the wall-clock math works, the model latency hides inside the swarm because something is always landing while something else is still compiling. The econo
The problem (the quiet frustration of Bangla typing) If you’ve ever tried typing Bangla on a smartphone, you already know the struggle. It’s slow. For millions of people in Bangladesh, typing in Bangla isn’t just inconvenient — it’s a daily friction point. Whether it’s messaging family, posting on Facebook, or writing something meaningful, the tools just aren’t built with enough intelligence. We’v
Weekly Challenge 371 Each week Mohammad S. Anwar sends out The Weekly Challenge, a chance for all of us to come up with solutions to two weekly tasks. My solutions are written in Python first, and then converted to Perl. Unless otherwise stated, Copilot (and other AI tools) have NOT been used to generate the solution. It's a great way for us all to practice some coding. Challenge, My solutions Y