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Title: Navigating the EU Parliament's Green Light: A Closer Look at Chat Control's First Round Victory In a groundbreaking move that signals the evolution of digital innovation, Chat Control, an innovative chatbot solution, has successfully passed the first round in the European Parliament. This tri

The future of business is not about working harder; it is about working smarter with intelligence that operates around the clock. Imagine a team of employees who never sleep, never take holidays, and are driven by pure logic rather than human emotion. This is the reality BizNode creates through its

Run this in a terminal: ls ~/.claude/projects/ If you use Claude Code, you just found a folder for every project you've ever opened it in. Inside each one: JSONL files logging every session, every message, every token. Codex CLI does the same thing in ~/.codex/sessions/. Cursor, Windsurf, Cline, Aid

Digital transformation is no longer a future goal—it has become a business necessity. Organizations of all sizes are embracing technology to streamline operations, improve customer experiences, and make data-driven decisions. Whether it is a startup launching its first digital product or an enterpri

👉 Apply Here First Application Form: https://forms.gle/QJNF7TXVBTgbLoaC7 At 10xHire, we're building the next generation of technical hiring. We believe great engineers shouldn't be judged by how many LeetCode problems they've memorized. Instead, we're creating AI-native technical assessments that m

So here's what happened: i Benchmarked China's Top 4 LLMs — The Numbers Don't Lie Last quarter I landed a consulting gig that needed me to route an entire product's inference layer through Chinese-developed models. The client didn't care about brand names — they cared about cost-per-token, p99 laten

The emergence of Artificial Intelligence technologies has changed software development, whereas the Internet of Things has helped connect physical assets across various sectors. The combination of both gives rise to AIoT, which can help make factories, logistics facilities, hospitals, infrastructure

Atlases is a learning site: 16 long-form technical guides, each one a 12-chapter deep dive that you read in a browser tab while running the actual thing in another pane of the same tab. The databases atlas ships a real SQLite engine. The Python atlas runs CPython. The C++ atlas compiles C++. Nothing

The company confirmed that the issue had been affecting accounts since May, with an additional 200 users banned over the weekend before its team identified and fixed the problem.

Microsoft is replacing AI models from OpenAI and Anthropic with its own MAI models in products like Excel and Outlook. Tens of thousands of queries per week already run through them. AI chief Mustafa Suleyman wants to "ultimately eliminate" the cost of external models. For Copilot customers, that co

Cohere has released Transcribe Arabic, an open-source model for Arabic speech recognition that the company says outperforms Whisper and OmniASR on dialects, code-switching, and bilingual Arabic-English speech. The 2-billion-parameter model is available on Hugging Face under the Apache 2.0 license. T

Anthropic is rolling out its AI agent Claude Cowork to mobile and web. Until now, the feature was limited to the desktop app. The agent keeps working in the background even when the laptop is closed and pings users on their phone when it needs a decision. The move blurs the line between Chat and Cow

With this update, users can start a task from their desk, get status updates on their phone, and pick up the finished output later — even if their laptop is closed.

According to Reuters, Chinese authorities are looking into restricting foreign access to the country's most powerful AI models. Alibaba, Bytedance, and Z.ai would all be affected. The move means both superpowers now treat AI as a strategic asset. For Europe, the convenient shortcut of relying on che

Claude Cowork now keeps working on tasks even after you close your laptop. It’s part of a larger push toward smartphone-controlled agents.

Anthropic has found that Claude developed an internal working memory on its own during training. The company calls it "J-Space" and can now read it using a new analysis tool called J-Lens. The working memory reveals that Claude recognizes contrived test scenarios before producing its first word. Whe

You can clip a cover over the cameras, which could be a double-edged sword.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Your family’s $300 stake in OpenAI Sam Altman’s proposal that Americans should share in the wealth created by AI is back in the spotlight, with report

The company just raised $7 million in seed funding, and is launching its app for iPhone and Android on Tuesday.

Chinese AI models are gaining ground with US companies because they cost far less than systems from OpenAI and Anthropic, CNBC reports. The article Chinese AI models regularly pass 30 percent on OpenRouter as cost gap widens appeared first on The Decoder.

With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six months into the futur

Chinese startup Deepseek is building its own AI chip, Reuters reports. The article Deepseek is designing its own AI chip appeared first on The Decoder.

OpenAI, Anthropic, and major cloud providers are racing to outbid each other with free compute credits to pull startups into their ecosystems. Some individual offers top $3 million. At Y Combinator alone, OpenAI and Anthropic could hand out up to $800 million in credits per year combined. The discou

Norwegian striker Erling Haaland isn’t just a footballer anymore. He’s become an internet character perpetuated by fans and AI.

Anthony Agueda, a third-generation California dairy farmer, pulls a rake through a bed of dark, wet wood chips on his family’s land in Hickman, a tiny town in the state’s agricultural heartland. He reaches down with both hands and pulls up a clump of muck, turning it over to reveal a half-dozen squi

The lab will beam back data to train AI models to predict how proteins behind age-related diseases like Alzheimer’s and certain cancers behave.

Forterra has deployed more than 100 of its self-driving ATVs in conflict zones in Ukraine.

We’re announcing new capabilities in Managed Agents in Gemini API so developers can build reliable, production-ready agents.

arXiv:2607.02542v1 Announce Type: new Abstract: General-purpose embodied agents must understand multimodal instructions, anticipate how their environment will evolve, and produce precise control actions over extended horizons. Existing approaches typically specialize in visual-language reasoning, vi

arXiv:2607.02672v1 Announce Type: new Abstract: Local pairwise comparisons are a standard tool for learning how people want decision rules to work, e.g., in participatory design or alignment. However, their use builds in two strong assumptions: that local comparisons are sufficient evidence about ho

arXiv:2607.02686v1 Announce Type: new Abstract: Reinforcement learning agents operating under partial observability must act on incomplete information, making them natural candidates for guidance from small language models (SLMs) that carry broad reasoning priors. Yet integrating SLM guidance into t

arXiv:2607.02771v1 Announce Type: new Abstract: Leadership computing facilities steward large-scale scientific datasets that routinely require substantial transformation before serving as AI training data. However, no existing framework fully unifies automated transformation, readiness assessment, p

arXiv:2607.02807v1 Announce Type: new Abstract: Long-running coding agents such as autoresearch can persistently discover optimizations for open-ended problems. However, they tend to converge onto a single high-level approach, then proceed with low-level edits while missing other superior approaches

arXiv:2607.02846v1 Announce Type: new Abstract: Large language model (LLM) agents can improve through accumulated experience, but free-form textual memories become difficult to maintain, validate, and reuse as interactions grow. Recent symbolic approaches learn executable skills or programmatic worl

arXiv:2607.02879v1 Announce Type: new Abstract: Current benchmarks for evaluating large language models (LLMs) in medical calculation are largely based on simplified settings, where each patient case corresponds to a single calculator and the required tool is explicitly specified in the query. Howev

arXiv:2607.02914v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated remarkable capabilities across diverse applications, yet ensuring their simultaneous safety, helpfulness, and trustworthiness remains a persistent challenge. Conventional refusal-oriented alignment strateg

See how Australian Payments Plus uses ChatGPT Enterprise and Codex to move faster through payments complexity. AP+ saves time, improves quality, and keeps human judgment central.

This study focuses on Text-to-Sounding-Video (T2SV) generation, which aims to generate a video with synchronized audio from text, with both modalities aligned to the text conditions. Despite progress in joint audio-video training, two critical challenges remain: (1) text conditioning is a bottleneck

Multi-domain fine-tuning of large language models requires improving performance on target domains while preserving performance on constrained domains, such as general knowledge, instruction following, or safety evaluations. Existing data mixing strategies rely on fixed heuristics or adaptive rules

Vision Language Models (VLMs) offer the exciting possibility of processing text as rendered images, bypassing the need for tokenizing the text into long token sequences. Since VLM image encoders map fixed-size images to a fixed number of visual tokens, varying rendering resolution provides a fine-gr

Recent breakthroughs in instruction-based image editing have captured significant attention, as models are now capable of handling real-world editing demands with the practicality required by everyday users. However, editing models trained primarily for single-turn edits often break down in multi-tu

The web is complex, open-ended, and constantly changing, making it challenging to scale training data for visual web agents. Existing data collection attempts remain limited to offline trajectories for supervised fine-tuning or a handful of simulated environments for RL training, thus failing to cap

While large language models (LLMs) and coding agents are often applied to user interface (UI) development, developers find it difficult to reliably assess their proficiency in visual and interaction design. Existing evaluations either rely on human experts, who can accurately assess usability by tes

Safety alignment in language models operates through two mechanistically distinct systems: refusal neurons that gate whether harmful knowledge is expressed, and concept neurons that encode the harmful knowledge itself. By targeting a single neuron in each system, we demonstrate both directions of fa

An AI agent carried out the technical execution of a real-world ransomware attack for the first known time, but new details show a human still chose the victim, set up the infrastructure, and supplied stolen credentials — meaning it wasn't quite the fully autonomous cybercrime debut that last week's

SK Hynix is experiencing a boom credited to AI. It will ride that to a multibillion-dollar U.S. IPO, expected to take place on Friday.

"The reality is, when you're optimizing for production, you start looking at a price/performance," Guillermo Rauch tells TechCrunch.