Website profile

Marktechpost

RedditVote46FlipShareTweet46 SharesRedditVote46FlipShareTweet46 Shares

  • 1,174articles · 365d
  • 1+ hour agolatest article
  • Sep 12, 2025earliest in window
  • 97%with images · 26 videos
  • 339avg words
articles per day
Categories
  • Science & Technology 1,153
  • Software Dev. 1,000
  • Computers & Electronics 897
  • Science & Nature 147
  • Jobs & Education 101
  • STEM 83
  • News 33
  • Business & Industrial 17

Please confirm you are human

This browser or connection looks automated. Press and continuously hold the control for 3 seconds to enable Google-hosted web results and, when separately allowed, AI-assisted answers.

A successful check enables 100 search requests. Interactive access does not authorize scraping, systematic collection, or reuse of search output.

Hold with a pointer, or hold Space or Enter.

News

MarkTechPost
marktechpost.com > 09/10/2026 > openai-launches-the-agents-api-in-public-beta-putting-the-codex-harness-behind-one-api-call

OpenAI Launches the Agents API in Public Beta, Putting the Codex Harness Behind One API Call

2+ day, 6+ hour ago   (252+ words) OpenAI has released the Agents API in public beta. It gives developers the same harness and infrastructure that run Codex. OpenAI hosts and maintains the harness. Developers run the agent’s compute in an OpenAI-managed sandbox, their own infrastructure, or a…...

MarkTechPost
marktechpost.com > 09/08/2026 > meta-introduces-muse-a-personal-ai-agent-that-runs-on-its-own-dedicated-secure-cloud-computer

Nous Research Adds One-Click Local Model Setup to Hermes Desktop

3+ day, 22+ hour ago   (610+ words) Today, Meta has introduced Muse, a personal AI agent that takes actions rather than just answering questions. Muse can send emails, book travel, negotiate bills, and pursue long term goals. It keeps working after you close the app and returns…...

MarkTechPost
marktechpost.com > 09/04/2026 > datasets-invent-api-training-data-without-labeling-adaptive-data-autoscientist

Adaption Labs Introduces 'Invent a Dataset': Training Data Generated From a Task Description, Not a Seed Corpus

1+ week, 20+ hour ago   (284+ words) This week, Adaption Labs released Invent a Dataset. The feature generates a structured, training-ready dataset from a description of the behavior you want a model to learn. You do not arrive with a seed corpus, a predefined schema, or a…...

MarkTechPost
marktechpost.com > 09/03/2026 > anthropic-released-claude-commerce-agents-an-apache-2-0-blueprint-for-shopping-and-merchant-agents-across-retail-travel-telecom-and-entertainment

Anthropic Released Claude Commerce Agents: An Apache-2.0 Blueprint for Shopping and Merchant Agents Across Retail, Travel, Telecom and Entertainment

1+ week, 2+ day ago   (598+ words) Most teams building a shopping assistant or agent rebuild the same scaffolding: an agent loop, a tool layer over the catalog, an approval gate, and an eval suite. Anthropic has now released that scaffolding as code. This week, they published…...

MarkTechPost
marktechpost.com > 09/01/2026 > aqua-a-two-part-agentic-framework-for-autonomous-factor-discovery > amp

Researchers from Princeton, Ant Group and Stanford Introduce AQuA: A Two-Part Agentic Framework for Autonomous Factor Discovery and Model Development in Quantitative Finance

1+ week, 4+ day ago   (652+ words) MarkTechPost Quantitative research agents that write their own experiments can corrupt the evidence they later learn from. A leaky feature that scores well gets stored as a successful precedent and propagated through later iterations. Prompt-level instructions and reviewer agents do…...

MarkTechPost
marktechpost.com > 08/26/2026 > what-would-have-to-be-true-for-agentic-coding-to-replace-junior-engineers

What Would Have to Be True for Agentic Coding to Replace Junior Engineers

2+ week, 3+ day ago   (1066+ words) Not a prediction. A list of conditions, and what the evidence says about each one. I read every major model release. Most of them ship a coding number. The number goes up. The conclusion everyone draws is that junior engineers…...

MarkTechPost
marktechpost.com > 08/24/2026 > generalist-ai-releases-gen-1-5-a-robot-foundation-model-that-learns-new-tasks-from-one-3-12-second-demo

Generalist AI Releases GEN-1.5: A Robot Foundation Model That Learns New Tasks From One 3–12 Second Demo

2+ week, 5+ day ago   (381+ words) Not yet — this is a research release. There are no public weights, no API, no pricing page and no self-serve product. Generalist AI runs GEN-1.5 on its own fleet and data engine. Anyone who wants it today goes through a…...

MarkTechPost
marktechpost.com > 08/21/2026 > anthropic-brings-claude-mythos-5-to-claude-security

Anthropic Brings Claude Mythos 5 to Claude Security: Enterprise Teams Get Frontier Vulnerability Scanning Without Direct Model Access

3+ week, 1+ day ago   (323+ words) Yes, but only on one path. Claude Security is available in public beta for Claude Enterprise customers. There is no separate model add-on; Mythos 5 scans are billed as standard token usage under the existing plan. An admin enables it in…...

MarkTechPost
marktechpost.com > 08/20/2026 > auditing-preference-biases-and-fine-tuning-language-models-with-direct-preference-optimization-on-anthropic-hh-rlhf-using-trl-and-lora

Auditing Preference Biases and Fine-Tuning Language Models with Direct Preference Optimization on Anthropic HH-RLHF Using TRL and LoRA

3+ week, 2+ day ago   (648+ words) This tutorial provides an end-to-end workflow for fine-tuning language models using Direct Preference Optimization (DPO). We demonstrate how to audit the Anthropic HH-RLHF dataset for structural and length-based biases, implement a robust training pipeline using TRL and LoRA, and evaluate…...

MarkTechPost
marktechpost.com > 08/09/2026 > nvidia-releases-nemotronlabs-voicechat-11b-an-open-full-duplex-speech-to-speech-model-with-450-ms-turn-taking-and-live-tool-calling

NVIDIA Releases NemotronLabs VoiceChat 11B: An Open Full-Duplex Speech-to-Speech Model with ~450 ms Turn-Taking and Live Tool Calling

1+ mon, 3+ day ago   (225+ words) The model is a hybrid Mamba/Transformer, assembled from three existing NVIDIA components along with one new output path: Outputs include agent audio, agent text, and a running user transcription. Training used roughly 550k hours of audio across real and synthetic…...