Track frontier trends and curated high-quality content to stay ahead in the fast-moving AI SaaS world.
Moritz Hardt argues that while absolute benchmark scores are flawed, relative model rankings still drive progress.
Computer scientist Moritz Hardt claims AI benchmarks are fundamentally broken, yet machine learning avoided a crisis through stable relative rankings.
Meta has removed language from its commercial terms that experts argued granted it the right to scrape news sites for AI training, following significant backlash.
The podcast pioneer shares his analog tools and digital detox tricks.
Jad Abumrad reveals how he fights modern distraction by bricking his phone and relies on a butterfly knife for tactile satisfaction instead of AI notifications.
New benchmark reveals the 'last mile' gap between testing and deployment
A new study shows top AI agents solve only 15% of complex delivery tasks, highlighting a massive gap between theoretical benchmarks and real customer needs.
MAI-Base-2 reportedly outperforms GPT-5.6 using a fraction of the training resources.
Microsoft CEO Mustafa Suleyman revealed an in-house model surpasses OpenAI's capabilities while using only a quarter of the compute, signaling a strategic pivot.
Major web services are shutting out OpenAI, Meta, and Google's AI agents over security and revenue concerns, clashing with tech giants' automation visions.
The open-source tool formerly known as GitHub Copilot Token Tracker expands across editors.
Developers can now track token usage and fluency scores across VS Code, JetBrains, and CLI tools with a privacy-first extension reading only local logs.
Georgia Tech researchers developed ORISA, a tool that recovers deleted local AI conversations from Android phone memory, raising new privacy concerns.
A developer argues for an external AI accelerator instead of forcing hardware upgrades.
As AI vendors push expensive new computers, a new proposal suggests a dedicated AI chip that plugs into existing machines via Thunderbolt, lowering the barrier to local inference.
A self-hosted alternative for monitoring how ChatGPT and Gemini reference brands.
CiteLadder offers a self-hosted, open-source platform to track AI search visibility, allowing users to monitor brand mentions and citations across major answer engines.
Samuel King's research marks a pivotal step in generative biology
Stanford PhD candidate Samuel King used generative AI to propose genetic blueprints for viruses, signaling a new era in synthetic biology and biosecurity.
Unauthorized sales to Anthropic expose copyright gaps and industry friction
Nippan admitted to selling Japanese books to US AI firm Anthropic for training without notifying publishers, shaking industry trust amid Japan's lax copyright laws.
A new desktop app lets users guide AI through browsers, containers, and databases with full transparency.
Wysebee brings AI agents to your local machine, connecting them to your browser, Docker containers, and databases without writing code.
Critics condemn 'Night Shift' for monetizing homelessness and addiction.
Pierre-Louis Biojout faces backlash for a multiplayer game where players shoot zombies based on real Tenderloin residents, including depictions of fentanyl users.
As AI floods markets with content, niche creators like puzzle maker Jim Bumgardner use these tools to improve quality without sacrificing human expertise.
Anthropic survey reveals stark divide between public and expert foresight on AI capabilities.
A new Anthropic report highlights a massive divergence: while US adults expect gradual AI progress, staff foresee rapid automation and Nobel-level discoveries by 2030.
A new AI trend lets users transform a single photo into a viral video of them scoring Mesut Özil's famous 2016 goal. Here is how the generator works and what to expect.
Apple has updated its App Store guidelines to explicitly ban AI apps that generate nonconsensual intimate imagery, following pressure from lawmakers and activists.
New benchmark reveals top AI models can autonomously tackle unpublished research-level problems in high energy physics.
A new study tests AI agents on 50 unpublished theoretical physics problems. The best model achieved 98% accuracy, raising questions about creativity vs. memorization in AI research.
A fractional CTO discusses threat modeling and permission control strategies in enterprise-grade AI development
As enterprises accelerate the deployment of AI agents, secure isolation has become a critical challenge. Experts recommend leveraging Kubernetes as a sandbox environment, employing strict resource quotas and network policies to effectively mitigate risks of data leaks and model misuse, while ensuring business agility.