Google

Three bombshells in 72 hours. OpenAI launched GPT-5.5. China’s DeepSeek dropped V4 at 85% less cost. Google committed $40 billion to Anthropic. The AI industry didn’t just shift — it lurched into a new phase where billion-dollar moves happen simultaneously and the gap between cutting-edge and affordable collapses faster than anyone predicted. GPT-5.5: The “Just Let It Work” Model OpenAI’s latest isn’t about raw intelligence gains. It’s about how the model works. ...

There’s a moment in every tech revolution when the money stops making sense to normal people. For AI, that moment arrived this week. Google just committed up to $40 billion in Anthropic — the company behind Claude. This landed four days after Amazon announced its own $25 billion deal with the same company. Combined: $65 billion in potential investment from two competing tech giants, into a single startup, in one week. ...

Nvidia has owned the AI chip conversation for three years straight. That era might be ending — not with a bang, but with a procurement spreadsheet. Over the past 48 hours, Google quietly revealed the most aggressive custom silicon strategy in the industry: a four-company chip design alliance spanning Broadcom, MediaTek, Marvell, and Intel. Each partner handles a different piece of the puzzle. Together, they represent something Nvidia should lose sleep over. ...

When the co-founder of the company that literally invented the Transformer admits a startup is beating them at coding, something seismic is happening. Sergey Brin wrote an internal memo to DeepMind staff last week that might as well have been a fire alarm: “To win the final sprint, we must urgently bridge the gap in agentic execution and turn our models into primary developers.” Google has now assembled a dedicated “strike team” within DeepMind to close a widening gap with Anthropic’s AI coding tools. And the details are more revealing than the headline. ...

The AI music wars just got a new heavyweight contender — and this one has unlimited compute, YouTube distribution, and major-label licensing relationships already in place. On April 19, Google officially launched Flow Music, a standalone text-to-music platform that generates original, fully-produced tracks up to three minutes long from nothing but a text prompt. No instruments. No studio. Just words in, music out. From Research Lab to Product Flow Music didn’t appear from nothing. Google acquired ProducerAI in February 2026 and quickly folded it into the broader “Google Flow” suite alongside its AI video tools. The platform builds on Google’s MusicLM research and its Lyria 3 model, but where those were experiments buried inside other products, Flow Music is a dedicated web app — Google’s clearest signal that AI music deserves its own stage. ...

Micron just lost over $100 per share. Samsung shed 5%. DDR5 prices dropped 30%. The culprit? A compression algorithm from Google Research that makes AI models need dramatically less memory. And it hasn’t even shipped as a product yet. The DeepSeek Sequel Nobody Expected TurboQuant does something deceptively simple: it compresses the key-value cache — the short-term memory AI models use during inference — by 6x while making inference 8x faster. Zero accuracy loss. No retraining. No fine-tuning. Just plug it into your existing pipeline. ...

A single research paper from Google just wiped billions off memory chip stocks across three continents. No earnings miss. No supply chain disruption. Just math. The algorithm is called TurboQuant. If it delivers on its promises, it rewrites the economics of running every major AI model on the planet. We’re talking 6x less memory, 8x faster inference, and zero accuracy loss. The Bottleneck Everyone Ignored Every AI conversation eats memory. When you chat with an AI, the model stores your context in a key-value (KV) cache — its working memory. Longer conversations mean bigger caches, which means more expensive GPU memory consumed. ...

Remember Pied Piper from HBO’s Silicon Valley? The fictional startup that built a compression algorithm so good it basically broke the internet? Google just built the real thing. Except instead of compressing video files, it’s compressing AI’s brain. On Tuesday, Google Research unveiled TurboQuant, a compression algorithm that reduces the memory footprint of large language models by at least 6x while delivering up to 8x faster performance on Nvidia H100 GPUs. The kicker: zero accuracy loss. ...

Google just opened the floodgates on one of its most powerful — and most unsettling — AI features. Personal Intelligence, previously a paid perk, is now rolling out free to all US Gemini users. It lets the AI dig through your Gmail, Google Photos, Google Docs, and search history to deliver answers that are eerily specific to you. Ask about your next flight. It pulls the confirmation email. Planning a trip? It cross-references your hotel bookings with your photo library to suggest places your family will actually like. It even spots patterns in your photos — “many ice cream selfies” — and recommends parlors during your layover. ...