Ex-Google CEO Eric Schmidt calls OpenAI and Anthropic modern colonial trading companies
In Foreign Affairs, historian Niall Ferguson, researcher Lisa Klaassen, and former Google CEO Eric Schmidt cast the US and China…
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I'm a solo developer, but I work with a persistent team of AI agents that maintain my projects.
I'm a solo developer, but I work with a persistent team of AI agents that maintain my projects. I don't manually coordinate them…
OpenAI offers discounts up to 90 percent to poach Anthropic's biggest customers
AI summary OpenAI is winning business from Anthropic through steep price cuts, with Rippling, Replit and DataCamp moving more of their AI budgets to it. According to Rippling's chief executive Parker Conrad, OpenAI now handles 52% of the firm's coding work, up from 16%, while Anthropic's portion dropped from 57% to 18%. Replit switched after receiving more than 30% off a contract worth above $100 million per year, and DataCamp's Jonathan Cornelissen reported cost savings of 80 to 90%. An investor memo indicates Anthropic's growth slowed between the second and third quarters.
Built a prototype AI agent communication platform
I built a prototype AI agent communication platform called The Waya from my phone with no laptop. It routes messages between…
OpenMobile-2 proves open-source smartphone agents can rival proprietary models
Smartphone agents don't get better by processing more data. They improve by training on as many different apps as possible. The…
AgentGrid.io
Shared workspace for humans and agents Discussion | Link
ICLR 2027 is still handing out desk rejects [N]
Thank you for your efforts in protecting the community from AI slop.
memt-1.0 architecture breakdown gated deltanet-2, mixture-of-storage, and 66x smaller storage footprint for agent memory [D]
been digesting the details behind memt-1.0's memory-native architecture recently, and the engineering tradeoffs between full…
I with the advancement of AI, is there a time coming where video, audio, and image evidence won’t stand up in court?
The deepfakes are getting better and better.
TCSP3.0: Template-Based Crystal Structure Prediction with Coefficient-Preserving Element Substitution and Structural Diversity
Template-based crystal structure prediction (CSP) transfers a known crystal structure to a new composition by element…
The Symmetry of Differential Neural Tangent Kernel under the Orthogonal Group
The differential neural tangent kernel (DNTK) is a tool for analyzing the training dynamics of overparameterized physics informed…
OpenAI and Anthropic support OSS maintainers. Do Chinese AI companies offer similar programs?
I was looking at the OSS programs from OpenAI and Anthropic and started wondering whether Qwen, DeepSeek, GLM, Kimi, or MiniMax…
Deep Scientific Reasoning under Physical Constraints: Structure-Aware Spectrum Prediction
Structured scientific spectra encode rich physical information while obeying hard constraints, such as conservation laws and…
BriLLM-MetaPred: A Representation-Prediction Unity Language Model with Adaptive Self-Measurement
We present BriLLM-MetaPred, the first engineering implementation of the MetaPred machine-learning framework established by a…
The Information Geometry of Representation Formation
Most analyses of neural representations focus on trained endpoints, leaving the process by which internal structure forms…
Cross-User Adaptation for sEMG Gesture Recognition via Continual Learning
Prosthetic and assistive interfaces increasingly depend on decoding hand gestures from surface electromyography (sEMG). Because…
Fed-Universe: A Semantic-Geometric-Topological-Human (S-G-T-H) Stack for Negotiated Alignment in Federated Systems
Conventional federated learners implicitly optimize for global means, creating a "one-size-fits-all" paradigm that inevitably…
Steering the Teacher: Improving On-Policy Self-Distillation for Thinking Models
On-policy self-distillation (OPSD) trains a student on its own reasoning trajectories using token-level supervision from a…
Hierarchical Cooperative GFlowNets
Generative Flow Networks (GFlowNets) are trained to sample objects from compositional spaces with probability proportional to a…
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