Things I've built with @lovable
's agent mode recently:
– Custom Stripe invoice maker
– UI for my AI podcast cohost that includes speech to text (from me) and text to speech (from her)
– Audio-reactive visualizer for the AI above Lovable was already but agent mode is
GENERATIVE AI
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Building AI Tools with Lovable’s Agent Mode
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Columbia Seligman’s Paul Wick on AI Investment Strategy
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Please enjoy my interview with Columbia Seligman's Paul Wick Seligman’s Paul Wick likes the midyear setup Fund manager and longtime tech observer Paul Wick of Columbia Seligman continues to be a big believer in the AI trade, but he’s not so enamored of acquisition-hungry,
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Insane Testing Results – Absolutely Crazy Work
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This is insane. Testing it right now. Absolutely crazy work.
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Open Source Non-Reasoning Model Achieves Competitive Performance
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Nuevo super modelo de programación no-razonador, que logra unos números muy competitivos colocándose como el mejor modelo open source de este tipo! Eso sí, 1 trillion de parámetros así que olvidaos de ejecutarlo en local fácilmente. Aún así un regalo brutal para la comunidad
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Years of sleepless nights yield invaluable AI engineering results
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sleepless nights, years working in AI engineering and design. cost: immeasurable
result: invaluable. -
Great PMs Design UIs to Collect AI Feedback
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Good PMs gather feedback. Great PMs design UIs to collect it. In an AI-driven world, relying on feedback forms or even thumbs up/down isn't enough. Feedback often comes dressed in great UI design. You have to bake it in from the outset.
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Lex Fridman Praises Grok 4 and xAI Team Achievement
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Grok 4 is super strong. Congrats to Elon and xAI team, they cooked
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One-shot prompt generation test successful
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Yeah one shot, tested that prompt once, hit record and it did that lol
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Prompt Engineering Evolution: Context Engineering and Intent Encoding in 2025
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i think Prompt Engineering is "growing up" in two different ways in 2025. the first is "Context Engineering", which is well covered by @dexhorthy
's talk (now >100k views!) but Prompts = Intent + Context and as @sgrove points out the task of encoding intents/goals/principles -
OpenAI Embeddings API Changes Impact Model Performance Distribution
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the other results, which use the OpenAI embeddings API got slightly worse. this also makes sense to me the API has likely changed a bit over the last two years they serve the models differently, use different quantization techniques etc. so there is a small distribution shift