Author: uet200
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PrismML’s 1-Bit Bonsai LLMs: 8B Model in 1.15 GB
On March 31, 2026, PrismML emerged from stealth to announce 1-bit Bonsai — a family of open-weight language models the company calls the first commercially viable 1-bit LLMs. The 8B flagship fits in just 1.15 GB of memory, runs 8× faster than a standard FP16 8B model, and matches its benchmark performance. Backed by $16.25M […]
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OpenAI Ships Official Codex Plugin for Anthropic’s Claude Code
OpenAI has released an official plugin that embeds its Codex coding agent directly inside Anthropic’s Claude Code CLI. Announced on March 30, 2026, the open-source codex-plugin-cc plugin lets developers invoke Codex for code reviews, adversarial analysis, and task delegation — all without leaving the Claude Code terminal. The move is notable because OpenAI is deliberately […]
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Claude Code’s Entire Source Code Leaked via npm Source Maps
On March 31, 2026, security researcher Chaofan Shou discovered that Anthropic’s Claude Code — its flagship agentic coding CLI — had its entire source code exposed through a source map file accidentally published to the npm registry. The leak revealed 1,900 files and over 512,000 lines of TypeScript code, exposing the full internal architecture, unreleased […]
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Agents of Chaos: What Happens When Autonomous AI Agents Get Real Tools
On February 23, 2026, a team of 38 researchers from Northeastern University, Harvard, Stanford, Carnegie Mellon, MIT, and other institutions published Agents of Chaos — a red-teaming study that gave six autonomous AI agents real tools, persistent memory, and unrestricted shell access, then watched what happened over two weeks. The results reveal that individually aligned […]
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Qwen3.5-Omni: Alibaba’s Omnimodal AI Speaks 36 Languages and Codes from Voice
On March 30, 2026, Alibaba’s Qwen team released Qwen3.5-Omni — a natively omnimodal AI model that processes text, images, audio, and video while generating real-time speech output. Available in three sizes (Plus, Flash, and Light), the model claims 215 state-of-the-art benchmark results and introduces features like semantic interruption, voice cloning, and an emergent “Audio-Visual Vibe […]
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ZML: A Zig-Based Inference Engine Bringing LLMs to AMD GPUs
ZML, a Paris-based open-source project, is gaining traction as a production inference stack written almost entirely in Zig — bypassing the Python and PyTorch dependency chains that dominate AI infrastructure. With its v2 release on March 24, 2026, ZML now compiles large language models directly onto NVIDIA, AMD, Google TPU, and AWS Trainium hardware from […]
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Voxtral TTS: Mistral’s Open-Weight Text-to-Speech Model Rivals ElevenLabs
On March 26, 2026, Mistral AI released Voxtral TTS — a 4-billion-parameter open-weight text-to-speech model that the company says outperforms ElevenLabs Flash v2.5 in human preference tests while matching ElevenLabs v3 in lifelike interactions. Built on Ministral 3B, Voxtral TTS supports nine languages, clones voices from just three seconds of audio, and achieves 70ms latency […]
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Cohere Transcribe: 2B Open-Source ASR Model Takes #1 on Leaderboard
On March 26, 2026, Cohere released Cohere Transcribe — a 2-billion-parameter open-source automatic speech recognition (ASR) model that claims the #1 spot on the Hugging Face Open ASR Leaderboard. Licensed under Apache 2.0 and designed to run on consumer-grade GPUs, Transcribe marks Cohere’s first entry into voice AI and signals growing competition in the open-source […]
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NVIDIA Releases gpt-oss-puzzle-88B: Up to 2.82× Faster Reasoning on a Single H100
On March 26, 2026, NVIDIA released gpt-oss-puzzle-88B — a deployment-optimized version of OpenAI’s gpt-oss-120B reasoning model that delivers up to 2.82× faster inference while matching or exceeding the original model’s accuracy. Created using NVIDIA’s Puzzle neural architecture search framework, the 88-billion-parameter model fits on a single H100 GPU and represents a significant step forward in […]
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Google’s TurboQuant Cuts LLM Memory 6x with Zero Accuracy Loss
On March 25, 2026, Google Research introduced TurboQuant — a new compression algorithm that reduces LLM key-value (KV) cache memory by 6x and delivers up to 8x inference speedup on NVIDIA H100 GPUs, all with zero accuracy loss. The algorithm, set to be presented at ICLR 2026, could reshape how organizations deploy large language models […]