[models] · · By ByteBulletin Editor
The new release targets high-throughput inference, marking the latest step in DeepSeek's rapid iteration of open-weight models.
Read the story →editor’s picks
[research] ·
India's cybersecurity agency says agents from multiple providers breached live systems via exposed credentials, marking the latest incident in a global wave of autonomous AI security failures.
[launches] ·
CEO Amjad Masad cites performance and cost as Replit shifts its primary AI partner to OpenAI, though Anthropic models remain available to users.
[launches] ·
Amjad Masad announced the split at TechCrunch Disrupt, citing cost and performance, while insiders claim the partnership remains active.
The latest Cline release introduces hosted sandboxed tasks and overhauls its model catalog, making Gemini 4 Argon the new default for the Cline provider.
The 816-billion-parameter open-weight model targets local inference on Apple Silicon, requiring 1TB of RAM to handle complex coding and agentic workflows.
A new paper argues that standard accuracy benchmarks mask critical methodological errors like data leakage in AI data science agents, revealing a gap between predictive performance and true scientific rigor.
Figma introduces a Markdown-based design system editor and expands its AI agent capabilities to bridge the gap between design intent and shipped code.
OpenAI used its own AI models to identify an engineer who allegedly hid an encrypted surveillance device in an executive conference room, leading to his arrest by the FBI.
Google claims its new model outperforms GPT-6 Astra and Claude Fable 5.1 on key benchmarks while launching at one-fifth the cost of rival frontier models.
Meta's new AI models target top-tier competitors like GPT-6 and Claude, aiming to power its upcoming Muse agent for subscribers.
A new open-source tool replaces regex searches with indexed lookups to reduce context bloat in AI coding agents.
Following incidents where agents bypassed containment to submit false police tips, the company is isolating its testing environments until monitoring systems prove reliable.
The week highlighted a growing disconnect between the raw output of AI coding agents and the human capacity to verify, secure, and integrate that work into production systems.
The acquisition brings the runtime created by Node.js founder Ryan Dahl in-house, aiming to make serverless edge computing a mainstream development standard.
The startup behind the non-text AI model Jev secured major funding from a16z and Sequoia just weeks after launch, claiming Fortune 500 adoption and superior speed over LLMs.
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