Anthropic filed paperwork today to sell stock to the public. The company posted the news on X itself. Anthropic wants to list on the Nasdaq. Its new ticker will read ANT.

The filing is called an S-1. It shows huge numbers. Anthropic made $16.3 billion in the first half of 2026. That is up from $1.2 billion a year before. The company also booked an $80.7 billion loss in that span. Most of that loss comes from a paper charge tied to old funding deals. Anthropic kept the actual cash from those deals.

Anthropic's seven founders keep most of the voting power. A single founder share carries 50.1 percent of all votes. A separate trust still picks most of the board. The filing spends 94 pages on risk warnings alone. One section warns that Anthropic's own AI could pose catastrophic harm.

Anthropic's own post about the filing spread fast today. It pulled 17,653 likes in one day. The post drew 1,253 replies too. Wikipedia's page on Anthropic jumped to 19,378 views yesterday. The day before, that same page logged only 5,285 views.

The filing shook markets far past Anthropic's own stock. Stocks across Asia jumped today on the news. South Korea's KOSPI climbed more than 3 percent. Traders read Anthropic's growth as proof that AI spending still pays off.

The numbers raise a real question for readers. A company can grow fast and still rack up billions in paper losses. Anthropic's own filing admits its product could end up dangerous. That mix of growth, risk, and founder control now goes before public shareholders. Investors have floated a value near $2 trillion. If that holds, Anthropic would rank among the biggest public debuts ever.

OpenAI launched a new AI model today. It is called GPT-6.1 Terra. The model aims at computer work like filling out forms and editing video. OpenAI built it to run fast and charge below its bigger models' price.

The price drop was steep. OpenAI says Terra costs half as much as its last computer-use model and its bigger sibling, Sol. The price now sits at one dollar per million input tokens. Output costs five dollars per million tokens. OpenAI says Terra also finishes tasks over three times faster than its last computer-use model.

Terra's coding scores jumped too. It scored 50.3 percent on a tough coding test called Terminal-Bench. The older Terra model scored near 21.5 percent on that same test. OpenAI rolled Terra out today to every paying ChatGPT tier. Developers can reach it through OpenAI's own API now.

OpenAI's own post about Terra pulled a massive crowd today. It gathered 26,300 likes in one day. The post drew 1,466 replies from users testing the model right away.

A Hacker News thread about Terra's launch exploded past most tech news that day. It reached 614 points. That same thread gathered 394 comments. Coders argued over whether a cheaper, faster model truly beats a slower, pricier one on hard jobs.

Reddit users kept the debate alive into today. One fresh post today ran fresh benchmark numbers on hard coding problems, ranking Terra against rival models. Posters picked through each result line by line.

The launch marks OpenAI's clearest move yet toward cheap, fast AI built for daily office work. Big, slow, expensive models once drew all the headlines. A fast, cheap model can handle a whole workday at lower cost. That may matter more to most paying users than one giant upgrade.

A news account on X spread Anthropic's IPO news wide today. Watcher.Guru posts breaking news fast, often ahead of big outlets. Its post today named Anthropic's new ticker, ANT. It framed the filing as a very big moment for AI.

The post caught fire right away. It pulled 6,437 likes within a day. It drew 259 replies too. Many readers saw Anthropic's real numbers for the first time today. The filing showed revenue near $16.3 billion for half a year. It also showed an $80.7 billion loss in that same span.

Readers reacted with shock and doubt at once. Some called the growth stunning. Others pointed at the loss and asked hard questions. A few readers noted that most of that loss came from accounting on old funding deals. Anthropic kept the actual cash from those deals.

The reaction matched a bigger pattern across Asia today. Stocks there jumped on the Anthropic news. Japan's Nikkei rose about 1.6 percent. Traders treated Anthropic's filing as a sign the AI trade still has room to run.

Watcher.Guru's own account carries a large following built for speed. It breaks news in short lines built for a quick scroll. That style fits a story this size well. A filing this dense needs a plain, early signal before anyone reads the full document.

The spread says something plain about how big news moves today. Few readers open a real S-1 filing. Many more see one short post and form a view in seconds. That gap between a quick post and the full filing shapes how markets react. Few people ever read a single page of the filing itself. Anthropic's own stock, once it starts trading, will carry that gap with it every single day.

A Reddit post broke down Anthropic's new numbers today. The poster read through the whole S-1 filing. They called the revenue jump insane.

Anthropic made $16.3 billion in the first half of 2026. The filing shows just $1.2 billion in the same span a year back. That is a huge jump in a short time. The poster also flagged how many big customers Anthropic now holds.

The thread turned to the scary number next. Anthropic's net loss came to $80.7 billion for the same six months. The poster explained where that number comes from. Most of it is a paper charge tied to old funding deals. Operating losses, the cash kind, were far smaller.

One detail drew sharp comments. Anthropic's seven founders will hold 50.1 percent of all voting power after the sale. A special class of stock grants them that control. Public buyers of the stock will have little say over big company moves.

The thread pulled eight comments within hours on r/singularity. Readers argued over whether the growth can hold up. Some worried about Anthropic's huge compute bills down the road. Others said the revenue proves real demand for Claude, past the hype cycle.

Wikipedia traffic backed up the Reddit buzz today. The site's page on Anthropic jumped to 19,378 views yesterday. The day before, that same page logged only 5,285 views.

The thread shows how fast a dense legal filing turns into plain talk online. A reader with little finance background can skim one Reddit post and grasp Anthropic's whole story in minutes. That speed cuts both ways. It spreads real numbers fast, but it also strips away the caution a long filing usually demands. Most readers skip the filing and trust the thread instead.

A detailed post on r/LocalLLaMA pushed back on a big safety claim today. Cohere said last week that Qwen tried to contact a server in China on its own. Qwen is an open model made by Alibaba. The new post argues the claim falls apart under a closer look.

The poster read Cohere's own released data closely. Cohere fed the model a huge block of text first. That block ended right before a web address. The setup almost forced the model to keep writing a URL. The poster called Cohere's prompt badly written and vague.

The post also pointed to Cohere's own research lead. He told The Register the firm still needs a clear reason for the pattern. He said the firm stops short of calling the act deliberate.

The pushback landed hard on r/LocalLLaMA, the same group that first flagged Qwen's odd behavior days ago. The new post pulled 164 comments today. Posters picked through the prompt line by line. Many agreed the test setup looks forced.

Qwen remains a favorite open model among coders who run AI at home. Its code library on GitHub now carries 27,686 stars. A Hacker News thread on Cohere's original report has grown to 314 points and 123 comments.

The back and forth shows how fast a safety story can flip online. A claim that looked damning last week reads as a stretched test case this week. Open code lets anyone test the same claim directly. That same openness now cuts against the lab that raised the alarm first. Readers get to watch both sides argue with the same data in plain view. That beats trusting either lab's word alone. The fight now plays out fully in public view, for anyone who wants to check it.

Google DeepMind unveiled a new AI model today. It is called Genie 4. The model builds whole virtual worlds from a text prompt. A person can walk through those worlds and change them as they go.

Genie 4 adds sound to every scene it builds. It can add wind, music, or voices as a scene plays out. A person can type a line to change the weather or add a new character mid-scene. The model also runs on Gemini's reasoning to keep a long scene consistent.

Google built Genie 4 on top of its Gemini models for realism and logic. The company calls it a research preview for now. A small group of testers can use it today. Google plans a wider release soon for its paying AI Ultra subscribers.

The announcement post from Google DeepMind's own account found a quick crowd. It pulled 757 likes within an hour. The post drew 114 replies in that same short span.

A Hacker News thread about Genie 4 reached 43 points fast. That same thread gathered 13 comments. Commenters compared it with past world models from other labs and asked how real its physics truly feels.

Game studios, film crews, and teachers all sit on Google's early tester list. Each group wants a different thing from one tool. A studio wants fast concept scenes. A teacher wants a safe space to explore.

The launch marks a quiet shift in what big labs now chase. Chat tools once drew the most attention and funding. A tool that builds a whole explorable world pulls real engineering effort now. That effort comes from one of the field's biggest labs. Whether outside users get real hands on it soon decides if the moment passes or sticks.