Meta has signed a multi-year AI licensing deal with News Corp that will pay the Wall Street Journal's parent company up to $50 million annually. The contract runs at least three years and covers content from the US and UK, reports the Wall Street Journal. Meta can use current content for its AI products and tap article archives for training. News Corp already has a deal with OpenAI worth over $250 million over five years. Meta has also signed agreements with CNN, Fox News, and other outlets.
These deals are a mixed bag for the media industry. They bring in revenue for participating publishers during tough times but risk shrinking media diversity by squeezing out those not at the table. They also give platforms more leverage, letting companies like Meta increasingly set the terms. And because contracts are negotiated one by one, they split the publishing landscape in ways that make it harder for the industry to push for better conditions together.
OpenAI's GPT-5.4 could be the leap forward that the just-released 5.3 Instant for ChatGPT wasn't. The model should drop "sooner than you think," according to OpenAI, but no official details have been shared yet.
According to The Information, GPT-5.4 will feature a one-million-token context window, more than double the 400,000 tokens in the current GPT-5.2. That would put OpenAI on par with Google and Anthropic. The model is also expected to be more reliable and make fewer mistakes on longer tasks that can run for several hours, which matters especially for tools like OpenAI's Codex programming agent.
One notable addition is an "extreme" thinking mode that lets the model burn significantly more compute on tough questions. This mode is aimed at researchers rather than everyday users who want quick answers. According to The Information, the more frequent model release cadence is designed to keep expectations in check. The hype around the GPT-5 launch set the bar so high it was nearly impossible to clear, and OpenAI's user growth has recently fallen short of internal projections.
Supreme Court AI copyright decision sounds sweeping but actually settles very little
AI inventor Stephen Thaler wanted the US Supreme Court to recognize a machine as the sole author of an image. The court refused, but the ruling only covers this extreme case. It says nothing about whether people can claim copyright for work they create with AI tools.
Google's fastest and cheapest model Gemini 3.1 Flash-Lite got smarter but also tripled the price
Google Deepmind has released a preview of Gemini 3.1 Flash-Lite, the fastest and cheapest model in the Gemini 3 series. It’s significantly more capable than its predecessor, but output costs have more than tripled.
OpenAI has released GPT-5.3 Instant, an update to the standard ChatGPT model. The new version aims to make everyday conversations feel more natural and useful. According to OpenAI, the model delivers more accurate answers, better web search results, and fewer unnecessary warnings and refusals. Hallucination rates drop by up to 26.8 percent for web searches and 19.7 percent for internal knowledge, depending on the scenario. The writing style also feels less robotic and preachy, OpenAI claims.
The system card shows some trade-offs on the safety front. GPT-5.3 Instant beats the older GPT-5.1 Instant on average when it comes to catching unauthorized content, but it actually performs worse than its direct predecessor, GPT-5.2 Instant. The model also takes a small hit on health-related queries (HealthBench) compared to the previous version.
GPT-5.3 Instant is rolling out now to all ChatGPT users and is available to developers via the API as "gpt-5.3-chat-latest." The outgoing GPT-5.2 Instant will stick around for paying users for another three months before OpenAI pulls the plug on June 3, 2026.
Anthropic entered a $100 million Pentagon competition in early 2026. The company was proposing to use Claude for voice-controlled autonomous drone swarm technology, Bloomberg reports.
The idea was to use Claude to translate a commander's spoken orders into digital instructions and coordinate drone fleets without using AI for autonomous targeting or weapons decisions. Humans would be able to monitor and shut down the system. This approach lines up with Anthropic's position in its ongoing dispute with the Pentagon, where the company has stressed that human oversight is essential for autonomous weapons because current AI models aren't reliable enough to operate without it.
Anthropic didn't win the contract. Instead, the Pentagon awarded it to SpaceX/xAI and two defense companies partnered with OpenAI.
Anthropic's new prompt forces ChatGPT to reveal everything it knows about you
Anthropic is capitalizing on OpenAI’s bad press with a new import function for Claude. A single prompt exports your saved context from ChatGPT or other chatbots, letting you transfer it straight to Claude’s memory.
Artificial Analysis has released version 2.0 of its AA-WER speech-to-text benchmark. ElevenLabs' Scribe v2 leads with a word error rate of just 2.3 percent, followed by Google's Gemini 3 Pro (2.9%) and Mistral's Voxtral Small (3.0%). Google's Gemini 3 Flash (3.1%) and ElevenLabs' older Scribe v1 (3.2%) are close behind. Notably, Google didn't specifically train for transcription—the strong results come from Gemini's general multimodal capabilities. OpenAI's popular open-source Whisper Large v3 (4.2%) lands mid-pack, while Alibaba's Qwen3 ASR Flash (5.9%), Amazon's Nova 2 Omni (6.0%), and Rev AI (6.1%) bring up the rear.
ElevenLabs' Scribe v2 tops the AA-WER v2.0 overall ranking with the lowest word error rate, followed by Google's Gemini 3 Pro and Mistral's Voxtral Small. | Image: Artificial Analysis
The results hold up in the separate AA-AgentTalk test for speech directed at voice assistants: Scribe v2 (1.6%) and Gemini 3 Pro (1.7%) pull well ahead, with AssemblyAI's Universal-3 Pro taking third at 2.3%.
ElevenLabs' Scribe v2 and Google's Gemini 3 Pro also dominate the AA-AgentTalk voice assistant test with the lowest error rates. | Image: Artificial Analysi
