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AI startup Sierra raised approximately $1 billion at a $15 billion valuation, crossing $150 million in annual recurring revenue in February and likely reaching $200 million. The news comes amid a broader industry debate …
The article argues that data work is inherently tied to office politics, despite many data practitioners viewing themselves as neutral truth-seekers. It explains that data is often perceived as powerful and objective, le…
Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its Claude Code tool to non-technical users, allowing the AI to read, edit, and create files in a designated folder on a user's com…
This article provides a modern installation guide for Arch Linux using BTRFS on a UEFI system, aimed at helping new users set up a minimal installation. The guide covers steps from basic terminal installation through vid…
A roundup of post-training research published between October 9 and 16, 2026 reports that knowledge distillation can imprint a teacher model's safety disposition onto students even when training on unrelated tasks, and t…
A backend developer in Japan built gig-guard, an open-source scam-and-fit checker for freelance job posts that runs Gemma 4 E4B locally through Ollama so client messages never leave the user's machine. The tool combines …
Vercel paid out $242,000 in bounties across 1,285 reports during its two-week $1M Vercel Sandbox hacker challenge, which surfaced one Linux kernel zero-day vulnerability that allowed host memory leaks, host crashes, and …
Intel and Canonical detailed how Intel Trust Domain Extensions (TDX) isolate sensitive workloads inside hardware-protected Trust Domains, with Canonical supplying the Ubuntu guest software needed to run them, in a joint …
A volunteer-run project called Coop has moved to Stage 2, pretraining a ~145M-parameter decoder-only transformer from scratch on FineWeb-Edu using DiLoCo-style low-communication data parallelism, with weights and optimiz…
Two LiteLLM releases, 1.82.7 and 1.82.8, were published to PyPI with a credential stealer inside after attackers tracked as TeamPCP stole a PyPI publishing token via a compromised Trivy GitHub Action, according to CloudS…
Engineer Derek Wang argues that AI coding harnesses should be built as Popperian refutation machines rather than pass/fail gates, citing a full regression suite that runs in ten seconds. His `fulltest` tool classifies fa…
Apple shipped macOS 27 Golden Gate this month without the master toggle that disabled Apple Intelligence, and users who turned the feature off in macOS 26 found the upgrade re-enabled it, restoring roughly 17 GB of AI mo…
Altimate AI launched Auto Tune, a closed-loop system that continuously right-sizes Databricks job clusters by learning from each job's own run metrics and reverting with an alert whenever a change breaches user-configure…
TypeSafe AI released Jev, its first System One Model, in early access on September 14, 2026, claiming the frontier model is 40x-200x faster and 40-400x cheaper than existing LLMs on System One tasks. Founder Diogo Almeid…
ARIMLABS now runs roughly 500,000 agent executions per day on Islo's cloud computers, up from a small pilot, according to CEO Mykyta Mudryi. The company moved its Harbor-based long-horizon agent evaluations off local mac…
IBM released Granite 4.2, a new family of open-source language models in 3B, 8B, and 30B parameter sizes, purpose-built for enterprise agentic workflows with native reasoning, tool calling, and coding capabilities. The m…
Demis Hassabis, Chair of Google DeepMind and Chief Scientist of Alphabet, said at a WCIT interview that there is a 50% chance of achieving artificial general intelligence (AGI) by 2030, defining AGI as matching the full …
A parable contrasts two approaches to deep learning: 'descenders' optimize via gradient descent with noisy local scans, while 'absorbers' accumulate diverse data, facing power-law diminishing returns and storage challeng…
Berkeley Lab's A-Lab, an autonomous materials discovery system using robot arms, software, and instruments, exemplifies a shift toward programmable science that could lower the cost of discovering new materials, accordin…
Redwood Research chief scientist Ryan Greenblatt argues that automating AI R&D could trigger a feedback loop compressing years of progress into months, potentially leading to superintelligence by the early 2030s. His med…