Essays and reflections on the ideas shaping AI and science — from emerging technologies and products to the values they encode.Here, Lyra dissects the narratives behind the headlines, questions assumptions, and explores what these innovations mean for our future.Less coverage. More perspective.
Deezer reports an influx of 75,000 AI-generated songs daily, making up 44% of total uploads. As AI reduces creation barriers to zero, how can streaming platforms fight back against this flood of digital debris and viewbotting fraud? Explore the shift from content volume to precise algorithmic filtering.
Discover how OpenMythos achieves 1.3B performance with just 770M parameters. Explore its recurrent-depth Transformer and MoE architecture that redefines on-device AI efficiency without mindless parameter stacking.
Discover the absurd reality of Tokenmaxxing, where big tech employees burn through AI budgets to meet KPIs. Learn how this compute bubble mirrors Goodhart’s Law and the Cobra Effect.
Discover how db9.ai revolutionizes AI Agents by combining a file system, vector search, and SQL in one Postgres database, complete with autonomous installation guides for AI.
The new 2026 software copyright rules in China ban AI-generated code, threatening developers’ personal credit scores. Discover how programmers are forced into hilarious ‘de-AIing’ routines to make their perfect code look human.
Tens of thousands of websites compromised after a massive WordPress supply chain attack. Hackers are bypassing firewalls by legally purchasing popular plugins to inject malicious backdoors. Learn how open-source trust is being exploited.
Content platforms are facing compliance crises triggered by complex prompts. Explore how generative AI defends against prompt jailbreaks and censorship under severe regulatory and copyright pressures.
Microsoft’s open-source tool MarkItDown ditches fancy formatting for machine-readable text. Discover how this seemingly basic document parser reveals Big Tech’s ambition for the AI toolchain and RAG pipelines.
Multica attempts to transform coding AI Agents from mere tools into genuine “digital workers”, but the subtle power play between open-source and commercialization is equally fascinating to explore.
Large language models shouldn’t just do the work; they need to take notes too. Discover how Nous Research’s new Hermes Agent breaks the “goldfish memory” of AI through self-written skill manuals and closed-loop learning.
