Anthropic filed its S-1 today. An S-1 is the form a company files before it sells stock to the public. Anthropic wants to list on the Nasdaq. Its ticker would be ANT.

The filing shows real numbers. Anthropic made $16.3 billion in revenue in the first half of 2026. That is up sharply from last year. The company also posted an $80.7 billion net loss. Most of that loss comes from accounting rules. Those rules price convertible notes from funding rounds. Cash spent made up a far smaller share.

Anthropic still spends huge sums on computing power. Computing power runs its Claude chatbot. The company signed cloud deals worth up to $750 billion. Investors now guess at a valuation near $2 trillion.

Anthropic's own post on X spread fast today. It pulled 11,845 likes within hours. Replies reached 826. On Hacker News, a thread about the filing reached 848 points. It drew 759 comments too.

The filing adds real detail past last week's leaks. It names over 11,900 customers who pay $100,000 a year or more. It shows strong growth and a huge loss at the same time.

Readers kept checking Anthropic's own page too. Its Wikipedia entry logged 5,285 views on Oct. 25 alone.

The numbers tell two stories at once. One story says this company grew fast and built real demand. The other says it burns cash at a pace few firms can match. Anthropic bets public investors will read the growth story first.

Some early skeptics disagree already. On Hacker News, commenters questioned whether a public Anthropic can sustain this spending. Others noted the filing skips a real risk. Cheap, open models from Chinese labs could undercut its pricing.

A public filing settles one question fast. Every reader can now check Anthropic's real numbers themselves, past leaked drafts and secondhand guesses.

A coder named Zagitta found a hidden limit. Nvidia's RTX 30 cards run a math mode called BF16 slower than they could. BF16 is a format AI models use to train and run fast. Zagitta built a free tool to remove the limit.

The tool is called gpu-unlock. It runs as a small piece of Linux code. It changes a few settings before the normal Nvidia driver loads. A user skips flashing new firmware entirely.

The gains look real. One RTX 3090 Ti jumped from 87.5 to 157.4 TFLOPS in BF16 tests. TFLOPS counts how many math operations a chip does each second. The RTX 4090 roughly doubled its peak tensor speed too.

A post sharing the news spread fast on X today. It pulled 11,203 likes already. Replies reached 358. Search interest in the trick jumped too. One tracked term spiked 5,050 percent in a day on Google Trends.

The project itself keeps growing. Its code on GitHub now carries 8,966 stars. People keep forking it to test their own cards.

The catch sits in daily use. Chat answers load from a model's memory. Memory speed sets that pace, more than raw math power. Those answers barely speed up. Image generation and long prompts gain the most, since those lean harder on tensor math.

Nvidia built this limit on purpose. The company sells pricier professional cards with the same chips, minus the cap. A free Linux tool just erased part of that gap for home users.

The reaction says something plain about this crowd. People who buy consumer GPUs for AI work resent a hidden tax built into the silicon. A modder cracked it open in days. Nvidia has stayed quiet on the unlock so far. The tool keeps climbing the charts this week.

A Reddit poster asked a blunt question today. Is this the moment the AI bubble bursts? The timing explains why it landed. Anthropic had just filed papers to sell stock to the public.

Those papers showed a huge number. Anthropic lost $80.7 billion in the first half of 2026. Most of that comes from accounting rules on old funding deals. Still, the size of the number grabbed readers fast.

The post pulled strong traffic on r/ClaudeAI today. It drew 166 comments within hours. Commenters traded predictions about a crash, and some pushed back hard on the premise.

Search data backs up the mood. Interest in the term "AI bubble" jumped 450 percent in a day on Google Trends. People went looking for the story on their own, past any single post.

History echoes in the thread too. Readers kept bringing up the dot-com bubble, the stock crash of the early 2000s. That old page on Wikipedia still pulled 1,344 views on Oct. 25 alone.

The worry has real roots past this one filing. AI labs and cloud firms have signed hundreds of billions in compute deals this year. Some of those deals rest on circular financing between a chipmaker and its own customers.

Some readers reject the bubble label, even with those numbers in view. Anthropic's revenue grew sharply too, and real customers keep paying for Claude. Growth and a loss can both be true at once.

The thread leaves the question open, since the real answer sits years away still. It shows something else clearly today. A single company's paperwork can set off a mood swing across an entire crowd of builders and users. That mood now sits one Google search away from anyone curious enough to check it. A Reddit thread turned a filing into a referendum on the whole AI industry within hours.

A Reddit poster spotted a risk past the chatbots. The post asked how local AI fans could gain from a coming "neocloud" crash. A neocloud is a data center built to rent out AI chips.

Many neoclouds took on huge loans to buy those chips. Nvidia backs plenty of that debt itself. The poster asked what happens when a neocloud misses a loan payment.

The worry has real weight behind it. Elon Musk warned this month that over 200 AI data firms could crash. Loans for firms with thin outside sales have mostly dried up, he said.

One neocloud, CoreWeave, owes about $51.6 billion in total debt. Its bonds due in 2031 now pay out past 15 percent a year. That high rate tells us the market has doubts.

Nvidia carries its own risk here too. The firm named $36 billion in hidden cloud deals tied to these firms. Critics call the whole setup a loop. Nvidia sells the chips, and it also backs the loans that buy them.

The Reddit post pulled 65 comments on r/LocalLLaMA today. Commenters floated real ideas. Buy used chips cheap once a neocloud folds. Rent spare compute at a steep price cut during the slow wind-down.

One reply turned doubtful fast. Nvidia likely wants its newest chips back in real use. Old, cheap gear stuck in a garage rack helps the firm far less.

The talk sits right behind this week's biggest AI story. Anthropic just filed to go public with an $80.7 billion loss on its own books. Big spending and big risk now sit side by side across this whole field. A home coder with one GPU and a modder's patience may end up buying a trillion-dollar bet's leftovers.

Anthropic made it official today. The company filed an S-1 with the SEC. That form starts the process of selling stock to the public. Anthropic plans to list under the ticker ANT.

A Reddit post sharing the news spread fast on r/singularity. It drew 50 comments within a few hours. Readers traded quick takes on the exact numbers inside the filing.

Those numbers landed hard. Anthropic posted $16.3 billion in revenue for the first half of 2026. It also posted an $80.7 billion net loss for the same stretch. Accounting rules on old funding deals drive most of that loss.

The filing also names real customers. Over 11,900 of them pay Anthropic $100,000 a year or more. About 250 pay $10 million a year or more. That scale answers a question readers have asked for months.

Coverage spread well past Reddit itself. A thread about the filing on Hacker News reached 848 points. It pulled 759 comments too, a huge number for one post there. Investors now guess at a listing near $2 trillion. That figure would rank among the largest debuts ever recorded.

Wikipedia traffic backs up the moment. Anthropic's own page logged 5,285 views on Oct. 25, the day before the filing landed.

The filing settles the guessing game that leaked drafts started last week. Readers can check Anthropic's real numbers directly now, past any secondhand report. Each figure carries a legal signature behind it.

That shift matters past this one company. A model maker just opened its books to the entire public for the first time. Rivals like OpenAI will face the same test eventually, once they file their own papers. For now, Anthropic stands alone as the AI lab whose finances anyone can check firsthand.

A security firm says it broke into Anthropic fast. The Washington Post broke the news today. The firm, Cathedral, says its AI agents found a way into Anthropic's own systems in under 12 hours.

Cathedral ran the test through Anthropic's own test program. That makes this a cleared check, past any crime. Anthropic's own watch tools caught some of this before Cathedral even sent word.

The agents reached real data inside. Staff there saw meeting notes, pay details and job offers. They also read chat logs about Anthropic's newest AI models.

Some systems stayed locked the whole time. Customer chats, Claude's replies, code and model files stayed sealed off. Anthropic says the breach hit only sales, HR and basic account logs.

Cathedral itself carries real weight here. Four ex-government staff built the firm this year. Backers gave it $160 million at a $1.4 billion price tag. Cathedral builds AI tools meant to guard and strike at computer systems for the US military.

The Post's post on X spread today. It pulled 23 likes and 9 replies within hours of going up. Techmeme's own post on the news spread it further still.

The state ties run deep past one test. Three federal groups have signed deals with Cathedral already. One top aide told The Post the state plans to keep using the firm on tough AI tests.

The news lands two hours past Anthropic's own filing to sell stock to the public. A major AI lab just showed how fast a skilled, well-paid team can slip past its walls. That test came with full okay this time. The next one aimed at any AI firm's systems may skip asking first. A real attacker would skip the warning too.