Cerebras Systems, the AI chipmaker positioning itself as the fastest inference alternative to NVIDIA, announced its IPO on May 4 at a target valuation of $26.6 billion. Its most important backer — the company that loaned Cerebras $1 billion, signed a $20 billion computing contract with it, and whose CEO is a personal angel investor — is OpenAI, the same company that accepted $30 billion from NVIDIA in its $122 billion funding round six weeks earlier. The Cerebras IPO is the m

OpenAI acquired Hiro Finance, an AI personal finance startup that helped clients manage over $1 billion in assets, on April 13, 2026 - and seven days later, the app stopped working. The product is dead. The team is not. The deal is an acqui-hire: Hiro founder Ethan Bloch and the company's staff are joining OpenAI, taking their expertise in financial scenario modeling and AI-driven budget planning into one of the most widely used AI platforms on the planet. For the users who

Meta and Microsoft announced a combined 23,000 job cuts on April 23, 2026 - the same week both companies disclosed plans to spend a combined $250 billion on AI infrastructure this year alone. Zoom out further: Alphabet, Microsoft, Meta, and Amazon are collectively on track to spend nearly $700 billion on AI capital expenditure in 2026, the largest coordinated technology investment in history. Meanwhile, more than 96,000 tech workers have lost their jobs so far this year acr

Global AI venture capital reached $300 billion in Q1 2026 - more than the entire 2025 total crammed into a single quarter - and four companies took 65 cents of every dollar raised. OpenAI closed a $122 billion round on March 31, the largest private financing in history, alongside Anthropic ($30 billion), xAI ($20 billion), and Waymo ($16 billion). Together, those four deals absorbed $188 billion, leaving 5,996 other funded startups to split what remained. One quarter of A

Meta put its own MTIA 300 chip into production in March 2026, just weeks after signing an expanded deal to buy millions more NVIDIA GPUs - including next-generation Vera Rubin systems. The timing looks like a contradiction. It isn't. The MTIA (Meta Training and Inference Accelerator) 300 is now handling ranking and recommendation inference across Facebook, Instagram, and WhatsApp - the algorithms that determine what you see in your feed and which ads you encounter. These

On April 7, 2026, a video AI model with no company attribution appeared on the Artificial Analysis Video Arena and began winning. It would turn out to be HappyHorse - Alibaba's video generation model - but for three days, nobody in the developer community knew who had built it. Within 72 hours, it had climbed to the top of both the text-to-video and image-to-video blind comparison leaderboards. Alibaba confirmed authorship on April 9. HappyHorse 1.0, built by the company'

Alibaba's Qwen team released Qwen3.6-Max-Preview on April 20, 2026 - and for the first time in Qwen's three-year history, the flagship model ships with no public weights. No Hugging Face download, no ModelScope release, no self-hosting option. API access only, through Alibaba Cloud's Model Studio endpoints. The team that released more than 100 open-weight models and accumulated nearly a billion community downloads just closed the door on self-hosting its most capable model.

OpenAI and Microsoft, the most consequential partnership in AI, ended their exclusive cloud arrangement on April 27 - quietly erasing a clause that gave Microsoft sole rights to distribute OpenAI's models and forced enterprise customers on AWS or Google Cloud to work around it. Both companies framed this as a next partnership phase. The timing tells a different story. Anthropic's annualized revenue hit $30 billion in April 2026, surpassing OpenAI's roughly $25 billion for t

Manifest OS, a New York-based legal AI automation startup, closed a $60 million Series A at a $750 million valuation on April 28, 2026 - and immediately made a decision that separates it from every other company in the space: it refuses to sell its software to existing law firms. That's not a distribution choice. It's a structural thesis about where the legal industry's dysfunction actually lives. While Harvey AI, now valued at $11 billion, builds tools that help lawyers in

AI hallucination happens when a language model produces confident-sounding information that is simply wrong. This guide explains the mechanism behind it, walks through real-world examples where hallucination caused real damage, and covers the most effective techniques for reducing it, including why grounding AI in your own documents changes the equation.

Vibe coding is the practice of building software through natural language descriptions rather than written code. This article covers where the term came from, what structural shift it represents in who gets to build software, what has genuinely changed and what has not, and why the implications extend well beyond developers.

Anthropic refused the Pentagon and gained 60% more users who trusted its privacy stance. Two months later, it started asking those same users for a government ID and a selfie.

SpaceX secured the right to acquire Cursor for $60 billion. The vibe coding community is now openly asking whether Cursor's roadmap will keep serving individual developers or shift toward aerospace.

Cognition AI is reportedly raising at a $25 billion valuation. Behind that number is Devin's 73x ARR growth, a 72-hour acquisition that OpenAI and Google fumbled, and the SpaceX-Cursor deal that reset the category's pricing floor.

Google's new TPU 8t and 8i chips split AI training and inference into two specialized architectures. The specs are impressive. The strategic question is whether software ecosystems matter more than hardware.

Google announced a $40B investment in Anthropic on April 24, days after Amazon committed $25B. Both cloud giants are funding the company whose AI is beating their own products.

Anthropic hit $30B ARR and passed OpenAI's $25B in April 2026. The number is notable. The growth rate, 30x in 15 months, is the part that changes the AI competitive landscape.

Between 2024 and 2026, ChatGPT, Claude, and Gemini quietly transformed from stateless chatbots into systems that retain personal context by default. Most users accepted this without understanding what AI memory actually is, how it works, or what happens to the information being stored. This guide explains the four types of AI memory, how the major platforms compare, what the real privacy risks are, and what none of them can remember about you.

Every AI agent is stateless by default. You tell your coding assistant your tech stack and your conventions. Next session, gone. A memory layer solves this by storing and retrieving information across sessions, so agents can build on prior work, maintain consistency, and become genuinely useful over time. Here is what a memory layer is, how the architecture works, and what it means for developers and knowledge workers alike.

Andrej Karpathy called it 'the delicate art and science of filling the context window with just the right information for the next step.' Context engineering is why the same AI model produces brilliant results in one application and useless ones in another. Here's what the discipline actually involves, how it differs from prompt engineering, and what the personal context problem means for anyone using AI in their daily work.