Similarly, `Go Map!!` is an iOS app that makes editing OSM data easy.
Adding missing features is one of my favorite things to do while traveling, and feels like a way of giving back (“take only photos, leave only GIS traces”?)
Don’t presume this study has anything to do with programming. They measured an agent’s ability to search long conversations, not code.
> We evaluate on a 116-question representative subset of the LongMemEval benchmark (Wu et al., 2025), which tests an agent’s ability to answer questions over long conversations spanning multiple sessions.
I get a sense that I was click-baited by article's title with the classic trope of "X is all you need". This research is a solid contribution, but is far from all we need to understand grep vs semantic search in agent retrieval.
Got it! What channel would you prefer instead? Would Telegram/WhatsApp/Signal/iMessage be good?
The platform itself doesn't need Slack to function, we just observed that users got more value if they could get notifications somehow, so I'm more than happy to add more comms platforms :)
Plaid is criticized because it’s a public-facing mechanism for third-party access into your finances, but many companies already have access without you knowing. In the US, many banks share nonpublic info such as transactions with retailers, marketers, government agencies, and others. They’re allowed to do so under the Gramm-Leach-Bliley Act. Report from the GOA:
The article doesn't really get into the details. Does it analyze the user agent and compare it to a list of known bot user agents? What about all the bots that spoof user agent values – does it do something special to detect those?
Yes exactly — it matches against a database of 18
known AI bot user agent tokens (GPTBot, ClaudeBot,
CCBot, Bytespider etc.) plus their known IP ranges
where available. GPTBot for example publishes its
IP ranges officially so we can match on both UA
and IP.
The spoofing problem is the hard one. Bots that
fully spoof Chrome headers are invisible to any
UA-based tool including this one. The honest answer
is that BotCost catches the "polite" bots that
identify themselves — which covers the major AI
companies (OpenAI, Anthropic, Google, Meta) since
they all self-identify. The truly malicious scrapers
that spoof identities are a harder problem requiring
behavioral analysis.
So it's accurate for what it is — catching known
AI training and search crawlers — but not a complete
bot detection solution.
It must have been so fun to be Benjamin Franklin. He installed an electric bell in-line on his first lightning rods so that this increase in electrical potential would cause the bell to ring, signaling that the danger for lightning was increased.
You can experience this voltage potential firsthand: take a friend to a hill or somewhere where high‑voltage power lines are nearer to the ground. One person, wearing rubber-soled shoes, stands tall with an arm in the air. The other squats down with both hands on the ground. The standing person uses the non-raised hand to gently touch the sensitive skin of the other person (ear lobe, lips), and they can feel an electric arc.
Adding missing features is one of my favorite things to do while traveling, and feels like a way of giving back (“take only photos, leave only GIS traces”?)
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