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James Cameron's 1991 sci-fi blockbuster returns to theaters this weekend for its 35th anniversary.

A recent paper argues that AI is often better at doctoring than doctors. Guess who isn't thrilled.

This week on “Uncanny Valley,” senior writer Will Knight talks his recent visit to China and the future of AI collaboration.

In the last article, I wrote about a release story that was weaker than the engine underneath...

Runable says 60%–70% of its 1 trillion-plus token usage in the last 90 days came from paying customers.

These are the lessons we learned evaluating LLMs for real-world secret scanning. The post How to evaluate LLMs before production appeared first on The GitHub Blog .

Originally published on tamiz.pro . The field of AI agents has moved rapidly from single-model executors to complex multi-agent orchestration. But after running 157 agent deployments across diverse task domains, one pattern emerged with striking consistency: planning quality predicts success far better than execution speed or model size. This isn't just theoretical—it's a practical lesson that's reshaping how engineers architect agent fleets, giving rise to what we're now calling Orca-style agents : hierarchical, planning-first systems that separate the expensive business of thinking from the cheaper business of doing. The Experiment: 157 Agent Runs Over six months, our team deployed and monitored 157 distinct agent runs across four primary use cases: code generation pipelines, automated testing workflows, infrastructure-as-code provisioning, and data transformation tasks. Each run varied along three dimensions: Architecture : Single-agent vs. flat multi-agent vs. hierarchical (Orca-style) Planning depth : No planning, brief intent statement, or full recursive planning loop Execution model : Direct LLM call per action vs. tool-augmented execution with validation The results were unambiguous. Systems that invested 3-5x more tokens in planning achieved 4.2x higher task completion rates and 3.8x fewer rollback cycles compared to agents optimized purely for fast execution. The correlation between planning sophistication and success held across every domain. Why Planning Beats Raw Execution The intuition behind this finding rests on an economic principle of LLM usage: planning is cheap relative to costly mistakes . A well-structured plan reduces the probability of executing the wrong sequence of tools, making incorrect API calls, or generating code that fails integration testing. Consider the token economics: Phase Tokens (typical) Cost impact Planning (intent + decomposition) 800–2,500 Low Execution per subtask 300–1,200 Medium Correction after failure 1,500–4,000 High

OVHcloud will raise prices from September, with 2026-edition gaming servers up 87 percent and other recent servers 40 to 59 percent. Founder Octave Klaba says memory cost six times more in June than a year earlier, as RAM suppliers shifted capacity toward high-bandwidth memory for AI. AWS, buying years ahead, has repriced one reserved GPU product. By Steef-Jan Wiggers

Meta is in court again over child safety, and this time it’s a landmark case that could force significant changes to core features of Facebook and Instagram.

This week on “Uncanny Valley,” Andy Greenberg discusses sitting in on a war game simulating a cyberattack from the Chinese hacking group Volt Typhoon

Proton’s CEO is a champion of encryption for everyone. So why is he going all in on un-encryptable AI?

Tim O’Reilly built a publishing empire that AI is helping to destroy. Yet he loves AI—as long as it’s open source.

AI is shifting the culture, from tech CEO manifestos to 1 am job interviews. We unpack some of the latest, along with the top findings from Black Hat and Defcon, this week on Uncanny Valley.

The problem When you type a single or double quote in Atlassian Jira or Confluence wiki, it's automatically converted to a "smart" quote 🤮 Examples “double” ‘single’ I don’t like it If you delete a smart quote and type it again, it becomes smart again, which can be disturbing. There is no option to disable smart quotes permanently. But... You can get rid of them Type Ctrl-Z immediately after they appear. It also works for the word don't : When you type apostrophe ' it looks normal, then when you type t , the apostrophe changes. Type Ctrl-Z and it reverts back to normal again.

The mayor of New York City has assembled a crew of Silicon Valley and United States Digital Service veterans to overhaul city services with better software.

Puck’s Matthew Belloni says AI has quietly become part of everyday filmmaking. The battle now isn’t whether Hollywood will use the technology—it’s who controls what’ll come next.

Viral tales of good triumphing over evil are racking up millions of views. They’re almost entirely AI-generated clickbait.

This week on Uncanny Valley, we discuss the open- vs. closed-source debate in AI, key players in White House AI policy, and how to stop your chatbot logs from showing up in search-engine results.

In 2023, the Times sued OpenAI and Microsoft for copyright infringement. They’ve since spent more than $20 million on the case, and publisher A.G. Sulzberger has no plans to stop fighting it.

On this episode of Uncanny Valley, we dive into accusations that China’s Moonshot AI stole from Anthropic, and how the US Army needs to cut back on AI use.