Author: Asif Razzaq

Asif Razzaq
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https://www.marktechpost.com
Asif Razzaq is the CEO of Marktechpost AI Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.

AI Coding Agents for Enterprise: IP Indemnity, Data Residency and 500-Seat Cost Compared

Agentic AI
We read the contracts behind GitHub Copilot, AWS Kiro, Cursor, Devin and Windsurf. Copilot and Kiro offer uncapped indemnity on generated code. Cognition's standard terms exclude outputs entirely. Here is how 500 seats compare on legal exposure, prompt storage, audit logs and true cost.

Sarvam AI Releases Saaras V4: A Speech-to-Text Model for All 22 Indian Languages and Global English

Agentic AI
Sarvam AI's Saaras V4 is a speech-to-text model covering all 22 Indian languages plus global English. It pairs an audio encoder with a 3B hybrid state-space decoder. It adds keyterm prompting for up to 50 terms, 5 output modes from 1 model, and streaming with first-token latency under 150 ms. It is available today through Sarvam's API at ₹30 per hour.

Liquid AI Releases LFM2.5-VL-3B-DSpark: Speculative Decoding for Vision-Language Models With Up to 3.13x Faster Decoding

Agentic AI
Liquid AI has released LFM2.5-VL-3B-DSpark, a 279.5M-parameter draft model that brings speculative decoding to its LFM2.5-VL-3B vision-language model. It delivers up to 3.13x faster decoding on Apple M5 Max and 2.66x on H100, with identical output under greedy decoding. Support ships in llama.cpp, MLX-VLM, and SGLang.

Aikido Security Releases Altar-1: An Open-Weight Security Model Pruned From GLM-5.3 to 328 GB

AI Infrastructure
Aikido Security has released Altar-1, its first open-weight security model. It is a compressed version of Z.AI's GLM-5.3, built to run inside infrastructure the...

Black Forest Labs Releases FLUX 3 Action: A 7B Open-Weights World Action Model That Tops RoboLab-120

Agentic AI
Black Forest Labs (BFL), the lab behind the FLUX image models, has released FLUX 3 Action. It is a 7B open-weights World Action Model...

A Coding Guide to TypeSafe AI Jev: Typed Decisions, Calibrated Confidence, and Speculative Fan-Out with a System One Model

Agentic AI
This tutorial provides a complete coding guide to TypeSafe AI's Jev, a System One model designed for non-text, structured judgments. It covers installing the official Python SDK, using primitive question types (Choice, Score, Noul), implementing speculative fan-out, confidence-gated routing, and building async production workflows

Google Releases Gemini 3.8 Flash TTS and Flash-Lite TTS With Prompt-Based Voice Design

Agentic AI
Google has released Gemini 3.8 Flash TTS and Flash-Lite TTS, 2 new text-to-speech models available now through the Gemini API and Google AI Studio. Flash TTS designs new voices from natural language prompts across 100+ languages. It ranks #1 on Hume AI's Voice Design Benchmark with a score of 71.4. Flash-Lite TTS targets high-volume dubbing and voice agents at lower cost.

NVIDIA Releases Nemotron 3 Diarization: A 100M-Parameter Open-Weight Model That Tracks 8 Speakers in Real Time

Agentic AI
NVIDIA has released Nemotron 3 Diarization, an open-weight speaker diarization model on Hugging Face. It answers one question about any conversation: who spoke when....

Nokia Open-Sources AnyJev: A Training-Free Layer That Turns Any Open LLM Into a Calibrated Decision Model

Agentic AI
Nokia's applied research team has open-sourced AnyJev, a Python library that turns an open LLM into a decision model. It needs no training. It...

Kyutai Releases Voice of Reason: A Speech-Native Model that Solves Spoken Math with Reinforcement Learning

Agentic AI
Kyutai has released Voice of Reason, 2 open-weight speech-to-speech models built on GLM-4-Voice-9B. Supervised fine-tuning and reinforcement learning lift spoken GSM8K accuracy from 27.3% to 77.1%. There is no transcription step and no text LLM in the loop. Both checkpoints are on Hugging Face and run on a single H100.

SpeakON Ships a MagSafe AI Voice Button With Its Own Microphone

Agentic AI
Voice input on phones has been solved for years. What has not been solved is the output. Speak into most dictation tools and you...

Anthropic Releases Claude Opus 5.5: Fable 5.1-Level Performance at 40% Lower Running Cost Than Opus 5

Agentic AI
Anthropic has released Claude Opus 5.5, the first model in its new Claude 5.5 family. The team states it performs at the level of...
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