The acquisition completes pre-development work including site selection, approvals, and a hybrid power strategy with Tallgrass Energy.
The update introduces a setting to deny permission prompts for continuous execution and moves MCP tasks to the background, alongside security fixes for Bash and sandbox escapes.
Built on llama.cpp, the tool automatically allocates model weights to VRAM, RAM, or flash storage to maximize prefill and decode speeds on heterogeneous hardware.
A chat assistant app that uses the Jev model to determine counterpart intent and risk level, inspects LLM-generated reply candidates, and fills only the input field.
Tom Mann explains that research engineering involves building reliable infrastructure for recursive self-improvement agents, with 90% of time spent on code and 10% on ideation.
A developer reports that Claude Code plugin submissions containing mods, hooks, or local MCP servers are being rejected from the official marketplace unless from a verified organization, though no official announcement has been made.
The benchmark separates skill learning from familiar setup success, revealing that current systems fail when block positions or stack heights change.
Researchers demonstrate that removing a single vector from the residual stream of 13 open-source models up to 72B parameters effectively disables refusal mechanisms.
The framework explains that RL training amortizes search costs into model weights, making single samples likely to succeed without guaranteeing that any specific chain of thought is faithful or correct.
Apple reportedly reduced the daily AI budget for some engineers from $300 to $200 to control rising enterprise costs.
A federal judge ruled that plaintiffs' claims that Claude Max multipliers apply to 5-hour sessions rather than weekly usage are plausibly misleading.
Apiiro research identifies 2,539 real secrets in 1,994 public GitHub repositories exposed by Claude Code's local settings file, with 1,122 files containing active credentials.
The roughly 50-person AI Frontiers team, which developed the Autogen and Fara agent frameworks, is declared finished after its leader left Microsoft.
Apache-2.0 model fine-tuned from Qwen2.5-0.5B runs locally on CPU to detect end-of-turn in English and 8 Indic languages.
The method achieves a 27.8% increase in mean acceptance length over DFlash on Qwen3-8B at temperature zero.
The model compresses MiniMax-H3 to 13.7B parameters for 4-8 step generation, running on consumer RTX 5090 GPUs in 92 seconds for 5.2-second clips.
The tool, available for macOS, Linux, Windows, and web, allows teams to review agent-generated code in shared threads using DeltaDB, a Git-compatible versioning system.
A new benchmark evaluates Codex and Claude on git operations, finding a 359/360 pass rate across the full batch, with GitButler showing the lowest latency and command count in the primary comparison.
The 65B dense model supports up to 1M context and was developed by a team that grew from 1 to 5 people.
The tool uses a custom VMM and WebAssembly components to enforce strict network and filesystem policies, supporting Linux, macOS, and Windows.
Kakao's Kanana-2-v-decide-3b-2611 is a decision model that accepts text, JSON, or chat history with optional images to output probabilities for choice, yes/no, or scale-based answers.
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