datasette-enrichments-llm 0.2a1
datasette-enrichments-llm 0.2a1
Release: datasette-enrichments-llm 0.2a1 The actor who triggers an enrichment is now passed to the llm.mode(... actor=actor) method. #3 Tags: enrichments, llm, datasette
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How to Vibe Code: A Developer's Playbook
The principles and workflows that separate developers who use AI from developers who ship with it.
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On employment, don’t panic – yet.
Things will get wild, but probably not immediately
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Anthropic Responsible Scaling Policy v3: A Matter of Trust
Anthropic has revised its Responsible Scaling Policy to v3.
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The Model You Love Is Probably Just the One You Use
The following article originally appeared on Medium and is being republished here with the author’s permission. Ask 10 developers which LLM they’d recommend and you’ll get 10 different answers—and almost none of them are based on objective comparison. What you’ll get instead is a reflection of the models they happen to have access to, the […]
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datasette-extract 0.3a0
datasette-extract 0.3a0
Release: datasette-extract 0.3a0 This plugin now uses datasette-llm to configure and manage models. This means it's possible to specify which models should be made available for enrichments, using the new enrichments purpose. Tags: llm, datasette
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datasette-enrichments-llm 0.2a0
datasette-enrichments-llm 0.2a0
Release: datasette-enrichments-llm 0.2a0 This plugin now uses datasette-llm to configure and manage models. This means it's possible to specify which models should be made available for enrichments, using the new enrichments purpose. Tags: llm, datasette
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datasette-llm-usage 0.2a0
datasette-llm-usage 0.2a0
Release: datasette-llm-usage 0.2a0 Removed features relating to allowances and estimated pricing. These are now the domain of datasette-llm-accountant. Now depends on datasette-llm for model configuration. #3 Full prompts and responses and tool calls can now be logged to thellm_usage_prompt_log table in the internal database if you set the new datasette-llm-usage.log_prompts plugin configuration setting. Redesigned the /-/llm-usage-simple-prompt page, which now requires the…
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datasette-llm 0.1a5
datasette-llm 0.1a5
Release: datasette-llm 0.1a5 The llm_prompt_context() plugin hook wrapper mechanism now tracks prompts executed within a chain as well as one-off prompts, which means it can be used to track tool call loops. #5 Tags: llm, datasette
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Quoting Soohoon Choi
Quoting Soohoon Choi
I want to argue that AI models will write good code because of economic incentives. Good code is cheaper to generate and maintain. Competition is high between the AI models right now, and the ones that win will help developers ship reliable features fastest, which requires simple, maintainable code. Good code will prevail, not only because we want it to (though we do!), but because economic forces demand it. Markets will not reward slop in coding, in the long-term. — Soohoon Choi, Slop Is…
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In the Iran war, it looks like AI helped with operations, not strategy
A hot take on how AI may have played out in the war so far
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Supply Chain Attack on Axios Pulls Malicious Dependency from npm
Supply Chain Attack on Axios Pulls Malicious Dependency from npm
Supply Chain Attack on Axios Pulls Malicious Dependency from npm Useful writeup of today's supply chain attack against Axios, the HTTP client NPM package with 101 million weekly downloads. Versions 1.14.1 and 0.30.4 both included a new dependency called plain-crypto-js which was freshly published malware, stealing credentials and installing a remote access trojan (RAT). It looks like the attack came from a leaked long-lived npm token. Axios have an open issue to adopt trusted publishing, which…
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datasette-llm 0.1a4
datasette-llm 0.1a4
Release: datasette-llm 0.1a4 Ability to configure different API keys for models based on their purpose - for example, set it up so enrichments always use gpt-5.4-mini with an API key dedicated to that purpose. #4 I released llm-echo 0.3 to provide an API key testing utility I needed for the tests for this new feature. Tags: llm, datasette
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MiniMax M2.7: The self-refactoring Agent architecture
AI that improves without retraining!
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llm-all-models-async 0.1
llm-all-models-async 0.1
Release: llm-all-models-async 0.1 LLM plugins can define new models in both sync and async varieties. The async variants are most common for API-backed models - sync variants tend to be things that run the model directly within the plugin. My llm-mrchatterbox plugin is sync only. I wanted to try it out with various Datasette LLM features (specifically datasette-enrichments-llm) but Datasette can only use async models. So... I had Claude spin up this plugin that turns sync models into async…
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