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Discover the latest developments in artificial intelligence, machine learning, and emerging technologies. Stay ahead of the AI revolution.

#AI#Large Language Models#NLP

Latest: GitHub Copilot users see token-based price hikes

Since its announcement in April this year, the proposed changes to billing methods on GitHub Copilot were a source of much speculation: how much more or less would a pay-a-you-use AI cost an organisation or individual compared to a flat-rate, monthly subscription? Just a day into the changeover to token-based billing for the LLM-based service, […] The post GitHub Copilot users see token-based price hikes appeared first on AI News.

#AI#OpenAI#ChatGPT

Anthropic’s browser agent got hijacked 31.5% of the time before safeguards engaged

Across the frontier labs, the highest prompt injection figures published this spring are Anthropic’s. Point a red-teamer at its newest model in a browser, and the attacker hijacked it 31.

#AI#Artificial Intelligence#Google AI

AI in video game development: How artificial intelligence is reshaping the industry

A Google Cloud survey found that 90% of developers are already integrating AI into their daily work, and on Steam, 7,818 titles disclosed AI use in 2025 alone, a 681% increase over the previous year. AI in video game development is not a side experiment.

#AI#ChatGPT#OpenAI

Claude Mythos exposed a hard truth: Your enterprise patching process is way too slow

In 2024, researchers from the University of Illinois found that GPT-4, when provided with a common vulnerabilities and exposures (CVE) description, could autonomously exploit 87% of a curated 15-vulnerability one-day dataset. Without the description, it could only exploit 7%.

#AI#Large Language Models#NLP

AI agents are entering their rebuild era as enterprises confront the reliability problem

As enterprise AI agents move into production, organizations are confronting a growing reliability problem. Many teams are discovering that LLM performance alone does not determine whether agents succeed in production.

#AI#Large Language Models#NLP

MIT's MeMo lets teams swap in a better LLM without retraining — and performance jumps 26%

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a framework from researchers at multiple universities, encodes new knowledge into a dedicated smaller memory model that operates separately from the main LLM.

#AI#Anthropic#Claude

Anthropic's Claude Opus 4.8 is here with 3X cheaper fast mode and near-Mythos level alignment

Anthropic today released Claude Opus 4.8, an upgrade to its flagship model that ships at the same price as its predecessor, alongside a dramatically cheaper "fast mode" tier and a new feature that lets the model spawn hundreds of parallel subagents for codebase-scale work.

#AI#ChatGPT#OpenAI

How DeepSeek’s radical architecture is shattering Silicon Valley's token moat

DeepSeek’s announcement over the weekend that it has made its 75% price cut permanent on its flagship V4 Pro model is a disruptive assault on the capital-heavy business models of Silicon Valley’s frontier labs. The reduction on DeepSeek V4 Pro directly undercuts comparable Western models used as workhorses for enterprise production.

The Download: climate tech goes public and the AI Hype Index returns

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. Climate tech companies are going public.

#AI#AI Models#Machine Learning

DataGrail report finds your vendor may be sending data to AI models you never approved

The data processing agreement (DPA) — the bedrock contract companies use to evaluate how vendors handle personal data — can no longer be trusted at face value. That is the central, and arguably most alarming, conclusion of DataGrail's Privacy and AI Trends Report 2026, released today.

#AI#Artificial Intelligence#Technology

Exploring The Download: keeping up with AI, and the future of IVF

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. Stay on top of what’s going on in AI this summer Here at MIT Technology Review, we understand exactly how relentless the pace of news from the world of artificial intelligence….

#AI#ChatGPT#OpenAI

DeepSWE blows up the AI coding leaderboard, crowns GPT-5.5, and finds Claude Opus exploiting a benchmark loophole

For months, the leading AI coding benchmarks have told enterprise buyers a comforting but misleading story: the top models are all roughly the same. OpenAI's GPT-5 family, Anthropic's Claude Opus, and Google's Gemini Pro have clustered within a narrow band on Scale AI's SWE-Bench Pro leaderboard, making it nearly impossible for engineering leaders to determine which agent will actually perform best inside their codebases.

Breaking: The Download: puncturing the AI jobs panic

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. A reality check on the AI jobs hysteria Despite the growing hysteria over AI’s threat to white-collar jobs, there’s still scant evidence that the technology has had a large-scale impact on….

#AI#AI Models#Machine Learning

Why prompt debt, retrieval debt, and evaluation debt are quietly reshaping enterprise AI risk

Over the past two decades, technical debt meant outdated architecture, messy code, and poorly maintained documentation. That definition is no longer sufficient in the AI era, where failure modes are more subtle and often non-linear.

#AI#Enterprise AI#Business

AI agents are quietly generating chaos engineering failures enterprises don’t track yet

There is a category of production incident that engineering teams are not tracking yet — because it doesn't fit any existing postmortem template. The agent initiated an action.

#AI#AI Models#Machine Learning

What Your AI agents need a terminal, not just a vector database

When agentic workflows fail, developers often assume the problem lies in the underlying model’s reasoning abilities. In reality, the limited information provided by the retrieval interface is often the primary limiting factor.

#AI#Anthropic#Claude

The Download: coding’s future, the ‘Steroid Olympics,’ and AI-driven science

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. Anthropic’s Code with Claude showed off coding’s future—whether you like it or not At Anthropic’s developer event in London this week, Code with Claude, attendees were asked if they’d shipped code….

#AI#Artificial Intelligence#Attention Mechanism

China’s AI just mapped its entire renewable energy grid. Here’s why the rest of the world should pay attention

Every major economy is staring at the same problem right now. Artificial intelligence is consuming electricity at a pace that grids were never designed to handle.

#AI#Anthropic#Claude

Alibaba's proprietary Qwen3.7-Max can run for 35 hours autonomously and supports external harnesses like Anthropic's Claude Code

The AI industry has fully entered the "agent era," a paradigm where AI models do far more than generate text — they now actively plan, execute, and course-correct complex tasks over days rather than seconds. Thus, it's perhaps unsurprising to see Chinese e-commerce giant Alibaba's famed Qwen Team of AI researchers release a model capable of performing autonomous agentic AI work over multiple days: that model has arrived in the form of Qwen3.

#Anthropic#AI#Claude

Anthropic’s Code with Claude showed off coding’s future—whether you like it or not

The vibes were strong at Code with Claude, Anthropic’s two-day event for software developers in London that kicked off on May 19, the same day as Google’s I/O in Palo Alto. (A coincidence, not a flex, Anthropic staffers assured me.