Anthropic built Claude, the AI chatbot. On Saturday, it made a big promise. The company will give 5 percent of its stock to a new fund. The fund has a name. It is the Anthropic Public Benefit Fund. Anthropic owns the fund outright. The gift can grow over time. Each time Anthropic's value climbs by half, the fund can gain 2 percent more stock.

Anthropic's own math is big. A 5 percent stake was worth about 48 billion dollars in May. Older gifts already set aside more stock. Close to a fifth of Anthropic's shares now sit aside for the public. Shareholders must still approve the plan. The fund will run as an LLC. That gives it room to act fast. The fund can give big grants. It can pay nonprofits that do good work. It can even pay people hurt by AI job loss, directly.

Elon Musk runs xAI, a rival AI lab. He read the news and replied fast. "I recommend giving the shares directly to the public," Musk wrote. He said he plans to do that himself, too.

Why did this catch fire? A company rarely gives away a slice this big. Anthropic framed the gift as help for future job loss. Musk's reply turned the news into a contest. He dared Anthropic to skip the fund. He said give cash straight to people instead.

What does the reach say about people who build AI? Readers want proof a lab plans for harm its own tools might cause. A rival's jab adds doubt fast. Musk's quip pulled new eyes to a plan most readers had missed. The story then spread past X. Reddit picked it up deep into the night. The fund still needs a vote from Anthropic's board.

Yann LeCun leads AI research at Meta. Elon Musk runs Tesla and xAI. On Oct. 15, Tesla showed off a new Roadster. The car flew a few feet off the ground. It used blasts of compressed air to do it.

LeCun did the math in public. He said the air tank holds about ten seconds of real push. He guessed the true number sits closer to five seconds. He called the stunt cute but useless.

Musk waited two days, then fired back. "I fart in your general direction," Musk wrote on X. The line comes from an old movie joke. LeCun answered with his own joke. He wrote that a fart works the same way as Musk's car. "That's exactly how your car is powered," LeCun added.

The jokes spread fast. Musk's post pulled 29,216 likes within a day. LeCun's reply pulled 3,172 likes of its own. A Reddit user shared the exchange on r/singularity early Sunday. That thread pulled 126 upvotes fast.

Why did two scientists trading jokes catch fire? LeCun is a famous AI critic of Musk's claims. Musk runs a car company and an AI lab at once. Their fight crossed both worlds at once. Readers got real rocket math wrapped inside two jokes.

What does the reach say about the people who build AI? Top AI leaders now argue in public, in full view of millions. A pointed joke travels faster than a dry correction. LeCun's numbers made the case. Musk's joke made it fun to read. News sites picked up the spat within a day. Articles about the flying car spiked after the jokes landed. The real test came first, on a runway in Texas. The joke war came after, and pulled in a second wave of readers who missed the first story.

Six AI models each got the same task. Design a capsule. Protect one raw egg inside it. Then 3D-print the design and drop it from a height.

Claude Opus 5.5, from Anthropic, went first. Its capsule held up through a 20-foot drop. The egg inside stayed whole. The shell stayed free of cracks.

GPT-6 Astra, from OpenAI, went next. Its capsule cracked at just 8 feet. The egg broke inside its own case.

Four more models tried the same test. Gemini 4 Argon comes from Google. Grok 4.7 comes from xAI. Qwen 3.8-Max comes from Alibaba. Muse Wonder rounds out the group. All four capsules cracked at only 4 feet.

A Reddit user posted the full test as a video on r/singularity early Sunday. The post pulled 116 upvotes fast.

Why did an egg test catch fire? The task sounds simple, but it hides real engineering work. A good capsule needs the right shape, the right wall, and the right cushion inside. A model has to reason about real physics, past plain language. Claude's result beat the next model by 12 feet of extra drop height. Anyone can see that gap at a glance.

What does the reach say about the people who build and test AI? Readers trust a drop test more than a written score. They can watch the egg survive or break with their own eyes. A clean win or a crack beats a chart full of small percentage gaps. This kind of test spreads fast because anyone can judge the winner alone. A grandmother and a machine learning engineer can watch the same clip and agree on what happened. Engineering tasks like this now sit beside coding and math. Labs use them to prove a model's real-world sense. The next test may raise the bar past 20 feet.

Accenture is one of the biggest consulting firms in the world. It employs 814,000 people. In December 2025, it struck a deal with Anthropic. The deal set a plan to train 30,000 staff on Claude.

The training worked well. Over 550,000 employees finished some kind of AI training. Many workers leaned on Claude daily for real client work. Some leaned on it a lot. Reports say some employees ran bills near $1,000 a month.

On Oct. 1, Accenture pulled back. The firm now covers just $29 a month per person from its central budget. Anyone who needs more must charge it to a client project instead. Workers now have to track their own use closely.

News of the cap spread fast this week. A Reddit user posted about it on r/ClaudeAI early Sunday. The post read, "Most companies are wasting the same money." That post pulled 119 upvotes.

Why did a spending cap catch fire? Big firms spent freely on AI tools at first. Now the bills are landing, and some firms are pulling back hard. A $1,000 monthly bill for one worker is a real number people understand. A $29 cap feels tiny next to it.

What does the reach say about the people who use AI at work? Workers now watch their AI budget the way they watch a phone bill. A sudden cap changes how someone works day to day. Readers on Reddit saw their own jobs in this story, even outside Accenture. Big firms once treated AI tools as a free perk for every worker. That era looks like it is ending at some of the largest firms first. Smaller firms may follow the same path soon, once their own bills start to climb this high.

DeepSeek is an AI lab based in China. This week, it shipped an update to one of its models. The new version is called DeepSeek V4.1 Flash 1017. Anyone can download it for free. The license is MIT, so anyone can build on it too.

The model beats bigger rivals at coding work. It topped Claude Opus 5, GPT 5.6-Sol, Kimi K3, and GLM 5.3 on one coding test. That test is called DeepSWE. It checks how well a model finishes a real coding task end to end.

The new model scored 77 percent on that test. Each task run cost about 20 cents. A cheaper setting scored 72 percent for about 10 cents a task. The older version of this same model scored 74.2 percent. That older version cost about 50 cents a task.

Rival models cost far more to run. Some cost $2 to $10 or more for one coding task. DeepSeek's new version produces shorter answers than before. Shorter answers mean a lower bill for every single task.

A Reddit user posted the news to r/singularity on Saturday. The post pulled 121 upvotes. On Hugging Face, the model logged 10,233 downloads and 1,405 likes.

Why did a price cut catch fire? Coders pay by the task when they run an agent. A cheaper task adds up fast across a full day of work. A free, open model with a strong score beats a locked, pricey one for daily use.

What does the reach say about the people who build AI tools? Many builders now judge a model by cost first, score second. A model that beats rivals while charging ten cents a task wins trust fast. Open weights let any coder check the claim alone, on their own machine, free of anyone's permission.