Generate multi-shot video through a single prompt: pic.twitter.com/hW5D0L4fKD
— Replicate (@replicate) 15 avril 2026
Generate multi-shot video through a single prompt:
PROMPT ENGINEERING
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Multi-shot video generation through single AI prompt
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Upgrading LLM Reducer Prompts for Better Constraint Hierarchy
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4/5 We upgraded our original 3-line “be correct” prompt → a much more detailed prompt that enforced a hierarchy of constraints for correctness, regression safety, and minimality. Basically, get the LLM-based reducer to stop being an aesthetic snob.
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LLM Judge Bias: Beyond Code Quality Metrics
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5/5 The takeaway: If your agent relies on an LLM judge for selection accuracy, measuring code quality isn’t enough; you need a measure of the model's inductive bias toward the "fingerprint" of a gold solution. This was our blueprint.
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Claude Opus 4.5 Judges Gold Patches Without Memorization
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1/5 When we saw our Reducer (=LLM judge component in Maestro, our agentic framework, that selects the best output from parallel agent runs) consistently picking gold patches, we were sure Claude Opus 4.5 (knowledge cutoff Aug '25) had simply memorized the answers. But then we
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Gemini 3.1 Flash TTS: Advanced Speech Synthesis Across 70 Languages
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Gemini 3.1 Flash TTS released.
— Chubby♨️ (@kimmonismus) 15 avril 2026
Highlight: highly controllable speech via simple text prompts, more natural voices, and support for 70+ languages. Nice one https://t.co/4V8MhXmIxc pic.twitter.com/MsvCMdWhLRGemini 3.1 Flash TTS released. Highlight: highly controllable speech via simple text prompts, more natural voices, and support for 70+ languages. Nice one
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Spec-Driven Development Course with Coding Agents
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New course: Spec-Driven Development with Coding Agents, built in partnership with @jetbrains, and taught by @paulweveritt.
— Andrew Ng (@AndrewYNg) 15 avril 2026
Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed… pic.twitter.com/M9zaNg2aTbNew course: Spec-Driven Development with Coding Agents, built in partnership with @jetbrains
, and taught by @paulweveritt
. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed -
KnowRL Boosts LLM Reasoning via Reinforcement Learning with Knowledge Guidance
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KnowRL Boosting LLM Reasoning via Reinforcement Learning with Minimal-Sufficient Knowledge Guidance paper: https://
huggingface.co/papers/2604.12
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Use Agentic Coding UX Over Chat for Best Results
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A recommendation which I have not tested for this exact task but which I feel moderately strongly about due to a closely related task: if you're familiar with Claude Code, Codex, Cowork, or other of the related UXes, use that in preference to regular chat window.
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Small Models Adaptation Challenges Beyond Fine-Tuning
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Small models are cheap to run, but expensive to adapt. The hard part is not only fine-tuning. It is the surrounding loop that involves collecting data, diagnosing failures, building evals, avoiding regressions, choosing curricula, and deciding when an update is safe. This new