LLM

Anthropic has pushed the growth curve of AI companies to a new level. According to Semi Analysis, Anthropic’s ARR (Annualized Run-rate Revenue) has exceeded $44 billion. ARR refers to annualized revenue based on the current run rate. It does not equal confirmed full-year revenue. Even so, the number is still striking. At the end of 2025, Anthropic’s ARR was around $9 billion. By May 2026, it had reached $44 billion — an increase of $35 billion within 12 months. On average, that means roughly $96 million in new ARR added per day. Placed in the historical context of the software industry, this speed is almost unprecedented. Amazon Web Services took […]

A historic moment just happened. A financial report that deserves a place in business history dropped like a deep-sea bomb, completely shattering the growth myth of OpenAI. The moment has arrived—Anthropic, this “Avengers Alliance” formed by defectors from OpenAI, has officially reached $30 billion in annual revenue, surpassing OpenAI’s $24 billion in one move. Today, the The Wall Street Journal revealed an astonishing number that made all of Silicon Valley gasp: Anthropic’s annual recurring revenue (ARR) has broken through $30 billion. At the beginning of 2025, Anthropic’s ARR was only $1 billion. In 15 months, it multiplied 30 times. Within just 15 months, annualized revenue skyrocketed from $1 billion to

Anthropic Valuation Nears $900 Billion A deep-water bomb in the AI world. On April 29, it was reported that Anthropic is negotiating a new round of funding, with a valuation that could exceed $900 billion. If the deal closes, this company—founded less than four years ago—will surpass OpenAI in one leap, becoming the most valuable AI unicorn on Earth. $900 billion. What does that number mean? In China’s A-share market, it’s higher than Kweichow Moutai’s market cap. In Silicon Valley, it kicks over the valuation throne that OpenAI spent a decade building. More intriguing is the timeline. Just a few months ago, Anthropic was valued at $60 billion. Google and

GPT-5.6 Exposure and the Goblin Obsession Just now, GPT-5.6 has been exposed? GPT-5.5 had only just set new benchmark records, and already GPT-5.6 seems to be quietly surfacing. Recently, OpenAI’s models have been obsessively fixated on goblins, turning into a meme across the entire internet. The official blog has just revealed the reason behind it—unexpectedly tied to a “nerdy” technical setup. Is GPT-5.6 Already in Testing? Not long after GPT-5.5 was released, traces of GPT-5.6 began appearing in backend logs. It looks very much like OpenAI is already warming up GPT-5.6. A developer discovered an unusual entry in internal Codex logs. Most API calls were routed to GPT-5.5, but one

Short Answer:Between DeepSeek V4 and OpenAI GPT-5.5, GPT-5.5 generally wins overall, especially in reasoning, coding, and complex task execution. However, DeepSeek-V4 performs competitively—and even outperforms in some areas like HTML visualization—while being more efficient and lightweight. Bottom line: GPT-5.5 is stronger overall, but DeepSeek-V4 offers impressive performance at much lower cost. On April 24, 2026, something unusual happened—it felt like a “crazy Friday” for AI developers worldwide, the kind of day that might be remembered in tech history. In the early hours, OpenAI dropped GPT-5.5 right on schedule, aiming once again to redefine the boundary of intelligence with sheer scale. But before the shockwaves could settle, across the ocean, DeepSeek

Right around the release of GPT-5.5, Claude finally admitted it: Yes, the model got “dumber,” and all usage quotas have been reset. After over a month of denial, the intelligence drop bug finally came straight from Anthropic itself: Stack those three bugs together, and Claude’s overall experience took a serious hit. Good thing competitors applied pressure at just the right moment. Trying to “educate users” clearly wasn’t going to work. Still, fixing bugs is always a good thing. It’s just… the timing is suspicious. GPT-5.5 drops, and suddenly Claude “admits defeat.” Was 5.5 helping debug? Dario… you didn’t intentionally make Claude worse just to set up a comeback moment when

DeepSeek V4, which made the whole world wait bitterly until April, has finally arrived! Just now, DeepSeek V4 really came! Today, DeepSeek, the one that once broke the dominance of closed-source models almost by itself and proved that DeepSeek starts updating frequently to shift industry dynamics, has officially announced to global developers with the preview version of the DeepSeek-V4 series— The civilian era of million-level context (1M Context), and a new peak in open-source Agent capabilities, world knowledge, and reasoning performance, has arrived. DeepSeek V4 has once again achieved leadership in China and in the open-source field, mirroring the rapid rise we’ve seen as Qwen 3.6 pushed boundaries. The technical

GPT-5.5 is approximately 2× more expensive per token than GPT-5.4, but in real-world usage, the total cost increase depends on how much it reduces token usage and improves task success rates. In most practical scenarios I’ve analyzed, even with ~30% token reduction, overall costs still rise by 30–60%. GPT-5.5 only reaches cost parity when token usage drops by around 50%, or when higher-quality outputs significantly reduce retries, failures, or human intervention. GPT-5.5 Pricing vs GPT-5.4 vs Claude Opus 4.7 (Full Comparison) The pricing structure across leading models highlights a clear shift toward premium-tier intelligence, demanding a careful analysis of factors like Claude Opus 4.7 pricing. Model Input Price (per 1M

Just moments ago, Altman dropped GPT-5.5 in the middle of the night. A full-scale strike against Claude Opus 4.7, taking back the crown of the strongest model on earth. From coding to scientific research, the era where AI independently takes over the computer really seems to have arrived. Silicon Valley isn’t sleeping tonight. Just now, GPT-5.5 made a shocking debut — OpenAI’s most powerful and most capable next-generation flagship model so far. It represents a completely new level of intelligence, evolving fully into the “native brain” of the Agent era. Yes, the long-awaited “Spud” is finally here today. GPT-5.5 Benchmarks: Ranking #1 Across All Categories The most eye-catching part is

Just now, DeepSeek’s GitHub started updating frequently. It launched and open-sourced a new repository, Tile Kernels, and at the same time updated the DeepEP repository, bringing DeepEP V2 online. It has been less than a week since DeepSeek quietly updated Mega MoE and FP4 Indexer last time. DeepSeek Tile Kernels Link: https://github.com/deepseek-ai/TileKernels According to the introduction, Tile Kernels are GPU kernels optimized for LLM operations, built with TileLang. TileLang is a domain-specific language for expressing high-performance GPU kernels in Python, with characteristics such as easy portability, agile development, and automatic optimization. The performance of Tile Kernels is extremely strong. As DeepSeek itself wrote: “Most kernels in this project are already