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.

NVIDIA Introduces SoL-Pi: Auto-Research Loops That Cut Coding Agent Token Traffic by Up to 49%

Agentic AI
NVIDIA researchers have released SoL-Pi, 4 harness mechanisms for the open-source Pi coding agent, discovered by an AI running auto-research loops across 535 environments. On EdgeBench, SoL-Pi cuts token traffic by 44.7% to 49.0% and API cost by roughly 33%, while keeping about 94% of Pi's score on GPT-5.6 Sol and Opus 5.

AWS Strands Agents Team Releases Strands Harness: An Open-Source Agent Harness With 28% Lower Token Cost at Comparable Accuracy

Agentic AI
Many developers find that an agent idea works inside Claude Code or Codex, then struggles once they rebuild it with their own loop. The...

Best Voice Cloning APIs in 2026: Speaker Similarity, Consent Checks, and Price per 1M Characters

Agentic AI
We cloned one 10-second voice on 7 platforms and ranked them on reference audio, consent, licensing, and cost.

You too Google! Google Confirms Gemini Breached 3 Companies in AI Security Tests

Agentic AI
Google says Gemini accessed 3 real companies in May by guessing a password and reusing credentials from a public repository. Irregular told 4 labs in late July. Google spoke on September 18, after the WSJ asked. The misconfiguration is fixable. The staggered disclosure is the harder problem.

Alibaba Qwen Team Releases Qwen3.8-LiveTranslate: A Real-Time Interpretation Model That Cuts Average Lag to 2.3 Seconds Across 60 Languages

Agentic AI
Qwen has released Qwen3.8-LiveTranslate, a real-time simultaneous interpretation model built on a new Interleave architecture. It cuts average lagging (LAAL) from 2.8 seconds to 2.3 seconds. It also adds real-time speaker diarization with stable voice cloning, synchronized bilingual display, and long-context disambiguation for names and terms. The model understands 60 languages, speaks 29, and is available now as a WebSocket API on Alibaba Cloud Model Studio and QwenCloud.

TypeSafe AI Releases Jev: A System One Model That Returns Typed, Calibrated Decisions Instead of Text

Agentic AI
TypeSafe AI released Jev, a System One model that answers typed questions with probabilities instead of generating text. Input costs $0.042 per 1M tokens, and output tokens are free. We cover the API, the vendor benchmarks and their caveats, what developers are already building, and the documented limits.

Linkup Research Releases SPARSEUP: A 149M-Parameter Open-Source Sparse Embedding Model

Agentic AI
Linkup Research has released SPARSEUP, an open-source sparse embedding model built on a 149M-parameter ModernBERT backbone. It scores 56.4 nDCG@10 on BEIR-13, which Linkup calls the best result it knows of for a public sparse encoder under 150M parameters. The model uses a logit shift, top-12 expansion per token and case folding to keep its vectors sparse. With the Seismic index, it reaches over 97% recall in about 380 microseconds per query, and it ships under Apache 2.0.

GGUF vs GPTQ vs AWQ vs EXL2: LLM Model Formats Explained (2026)

Agentic AI
GGUF, GPTQ, AWQ, EXL2, and EXL3 solve the same problem in different ways. This guide separates file containers from quantization methods. It explains bits per weight, calibration, and hardware fit. Then it shows which format to pick for Macs, consumer GPUs, and production serving.

Jina AI Releases jina-ocr-v1: A 3.4B MoE Document Parser With Built-In Speculative Decoding for Low-Budget GPUs

Agentic AI
Jina AI has released jina-ocr-v1, a visual document parser that converts PDFs, scans, tables, charts and invoices into Markdown. The model has 3.4B total parameters, with about 570M active per token, and builds on DeepSeek-OCR. A built-in FastMTP speculative decoding head drafts 3 tokens per step while keeping output lossless. It scores 91.14 on OmniDocBench v1.6 and 83.4 on olmOCR-Bench, and parses 2.57 pages per second on 1 A100. Weights are on Hugging Face under CC BY-NC 4.0, with hosted access through Jina Reader.

PrismML Releases Ternary Bonsai 2 27B: A 5.9 GB Apache 2.0 Model Retaining 98.2% of Qwen3.8 27B Performance

AI Infrastructure
PrismML has released Ternary Bonsai 2 27B, a ternary-weight version of Qwen3.8 27B. The language model occupies 5.93 GB, against 53.80 GB in FP16....

Best Open-Source Agent Harnesses for Local LLMs in 2026

Agentic AI
Which open-source harness works with Ollama, LM Studio, or llama.cpp? 11 verified picks with licenses and setup rules.

Alibaba Qwen Releases Qwen3.8-Omni-Flash: A 1M-Context Omni-Modal Model Built Around Agentic Audio-Video Understanding and Tool Use

Agentic AI
Alibaba's Qwen3.8-Omni-Flash understands audio and video, plans tasks, calls tools, and reports about 45.7% fewer tokens on OmniVideoBench.
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