Claude Code v2.1.275 patches stability and sync

Claude Code v2.1.276 fixes proxy regression

llama.cpp b11017 adds CUDA 13 and ROCm 10 builds

llama.cpp b11018 adds CUDA 13 and ROCm 10 builds

llama.cpp b11019 fixes embedded GGUF loading bugs

Crusoe raises $3.9B for modular AI data centers

GitHub Copilot adds feature-level engagement metrics

GitHub Copilot CLI adds agentic usage metrics

Claude Code relaunches Projects for multi-agent coordination

GitHub Actions ubuntu-latest migrates to Ubuntu 26.04

Claude Code v2.1.265 patches agent stability and plugin loading

vLLM v0.29.0rc6 fixes hybrid model caching

PrismML compresses LLMs to run locally with minimal loss

PrismML is proving that extreme model compression doesn't have to mean dumb models. Their Bonsai 2 27B model shrinks Alibaba's Qwen3.8 down to just 5.9 GB using ternary weights, hitting 98% of the original benchmark scores. This isn't just a technical curiosity; it means high-performance reasoning can finally run on consumer hardware without cloud dependency. With $22.25M in seed funding and backing from Khosla Ventures, they are positioning themselves as the bridge between massive lab models and private, local inference.

Skalar Launches Revenue-Tied Financing for Customer Acquisition

Skalar is testing a new capital model that funds customer acquisition costs without equity dilution or fixed repayment schedules. Backed by Monashees and General Catalyst, the startup absorbs downside risk if acquired customers underperform, collecting only what they generate up to a 1.1x cap. This shifts the burden of churn from founders to Skalar, creating a niche for predictable growth spending that traditional venture debt ignores. It’s a bold bet on unit economics over balance sheet metrics.

Emerald AI coalition targets grid capacity for data centers

Emerald AI is leveraging a $150M Series A to build the infrastructure layer for AI energy management, partnering with Google, Nvidia, and Anthropic to form the AI Energy Management Alliance. By coordinating demand response—pausing noncritical compute loads instead of burning diesel—the coalition aims to unlock 100 gigawatts of additional grid capacity. This shifts the bottleneck from pure hardware generation to intelligent load balancing, offering a pragmatic workaround for the grid's peaky nature. It marks a critical pivot where software efficiency becomes as vital as silicon performance in scaling AI infrastructure.

Robocurve raises $10M for independent AI robot auditing

Robocurve is tackling the black box of physical AI by raising a seed round to build an independent audit firm for robotics. Unlike lab benchmarks, they test frontier models on real hardware, revealing that general LLMs sometimes outperform specialized vision-language-action models. This shift from theoretical evaluation to physical verification matters because it creates public accountability for how AI controls the real world. It signals a maturing sector where safety and capability verification are becoming distinct, investable verticals.

DeepMind spinoff nears $4bn valuation

A new AI lab founded by a former DeepMind researcher has reportedly reached a $4 billion valuation, signaling intense investor appetite for talent spun out of top-tier research institutions. This milestone highlights the premium placed on specialized expertise in foundational models and reinforces the trend of established labs serving as incubators for high-value startups. The deal shows how capital is flowing toward teams with proven technical pedigrees rather than just broad market narratives. Investors are betting big on the idea that elite research talent can translate directly into commercial dominance. This valuation sets a new benchmark for spinoff companies in the current AI boom. It suggests that deep technical roots are now worth more than broad user bases.

Samsung backs AI startup Euclyd in €200M Series A

Euclyd, an AI startup dedicated to developing efficient technologies, has successfully raised €200 million in Series A funding with support from Samsung and the EU Scaleup Fund. This investment underscores the increasing demand for AI solutions that prioritize efficiency, especially as AI models grow in complexity and resource demands. Euclyd plans to leverage this capital to advance its AI solutions, focusing on enhancing performance while minimizing energy usage. This funding positions Euclyd as a key player in the AI industry, particularly for those interested in sustainable and efficient technological advancements.