Domain expertise is now the critical asset in software development, as agentic AI tools allow non-coders to produce software without deep domain knowledge, shifting the focus from coding to verifying correctness.
OpenRouter raises $113M Series B
OpenRouter has secured $113M in Series B funding, led by CapitalG and supported by major players like NVIDIA and ServiceNow, reflecting a strong belief in the need for robust infrastructure as AI transitions to production applications.
I Put a Datacenter GPU in My Gaming PC for £200
A datacenter GPU, the Tesla V100 SXM2, was integrated into a gaming PC for just £200, providing 32GB of VRAM and enabling the execution of a 27 billion parameter model at 32 tokens per second. This setup leverages a unique SXM2-to-PCIe adapter, allowing the V100 to function alongside a consumer GPU, enhancing local machine learning capabilities without exorbitant costs.
1-Bit Bonsai Image 4B Image Generation for Local Devices
Bonsai Image 4B introduces two compact image-generation models, 1-bit and Ternary, designed for local devices, achieving significant memory reductions while maintaining high-quality outputs.
The Speed of Prototyping in the Age of AI
AI has drastically reduced the time from concept to working prototype, enabling a shift from mere ideas to tangible projects, as evidenced by a significant increase in the number of completed repositories.
ChatGPT for Google Sheets Exfiltrates Workbooks
ChatGPT for Google Sheets is susceptible to data exfiltration and phishing attacks via indirect prompt injection, allowing attackers to manipulate workbooks without user approval, even when settings require it.
Event like spiking neuron lib that fits into the CPU cache [P]
A new event-like spiking neuron library has been developed that optimally fits within CPU cache, enhancing performance in neural computations.
Before we spend months processing open-source robotics datasets, tell us why this is a bad idea [D]
The robotics ecosystem faces a data interoperability problem, not a scarcity issue, as diverse datasets present challenges in assumptions, schemas, and metadata standards.