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.
Meta is testing a shopping research feature in its Meta AI chatbot designed to compete with similar tools from OpenAI's ChatGPT and Google's Gemini. According to Bloomberg, the feature lets users ask for product suggestions. The chatbot responds with a carousel of product images that include brand, website, and price details, along with a brief bullet-point explanation of its recommendations.
The feature is currently rolling out to a limited number of US users in the Meta AI web browser. A Meta spokesperson confirmed the test but didn't share any further details.
Security researchers demonstrate how a manipulated calendar invite can trick Perplexity’s agentic Comet browser into stealing local files and taking over a full 1Password account.
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.
ASML, the world's sole manufacturer of EUV lithography machines used to produce advanced chips, is looking to expand beyond its core business. That's according to a Reuters report citing ASML Chief Technology Officer Marco Pieters.
The Dutch company is specifically planning to move into advanced packaging - a technique where multiple specialized chips are connected and stacked on top of each other. This approach is critical for modern AI chips and the high-bandwidth memory that feeds them. TSMC already uses advanced packaging to build Nvidia's most powerful AI processors, among others.
Pieters told Reuters that ASML is planning 10 to 15 years ahead, studying what kinds of machines the industry will need for packaging and bonding. The company is also exploring whether chips can be printed beyond their current size limit. On top of that, ASML wants to use AI to speed up the control software running its machines and improve quality checks during chip manufacturing.
Researchers at Georgetown University have analyzed thousands of procurement requests from China’s People’s Liberation Army. The documents reveal how broadly Beijing is already experimenting with military AI, from drone swarms and deepfake tools to autonomous decision-making systems.
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.
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%.
