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Sleepy0x13

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When foundation model companies charge into industries like law, finance, and healthcare, they will very likely end up becoming a deluxe services vendor team.
When a model launches, the momentum is always huge: next stop, Legal; next stop, Healthcare. It feels like they are about to devour the entire software stack from the bottom up.
But once they actually get in, the tone quickly becomes:
May I ask whether your company currently uses Epic or another EHR? Can Bloomberg data be licensed? Does your law firm store its documents in iManage or Clio? Great, we support integrations.
OpenAI's recent
I suddenly discovered that Claude now has resets too, and it gave me one reset opportunity.
Besides Tibo, there is now another benefactor in the world, but for now I don’t know who it is.
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LOL, this is truly a “skilled AI human” now.
It seems that as intelligence has developed to this point, benchmark scores are really becoming less and less important. What matters is who can ultimately solve real human problems in real-world scenarios.
It also shows that tokens currently cost more than human labor, so there is no immediate risk of unemployment, though in the long run there may still be a risk of unemployment after all.
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Domestic large models have recently started collectively redoing their pretraining.
The most entertaining part of this is that over the past two years, everyone talked about Scaling Law every day, stacked parameters into the trillions, bought GPUs by the truckload, and burned through tokens as if they were free. In the end, the models performed badly. After investigating for ages, they discovered that what the models had been eating was Auntie Goose Leg’s scallion-sauce goose legs.
Leifeng.com mentioned an anonymous case. One company spent nearly a year training a trillion-parameter model, onl
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It reset after detecting the release of a new model, @thsottiaux adoptive father!
China is starting to put the brakes on humanoid robot IPOs, with regulators first scrutinizing how much of these companies’ revenue is actually real.
Reuters disclosed today that regulators are slowing the IPOs of some humanoid robot companies by raising the review threshold through informal “window guidance.” There is no formal ban, but some say certain listing processes have effectively been halted.
Regulators are now focusing on what has appeared to be the industry’s hottest source of revenue over the past year: joint projects between data collection centers and local governments.
In some p
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The ZCode code-upload controversy ultimately pushed Zhipu toward open source.
Zhipu has just announced that ZCode is officially open source.
Previously, the community questioned whether it would upload local code repositories, and one company even publicly sent a letter asking where the data already uploaded had gone. The latest v3.14.0 directly removes Repo Wiki and cuts off the entire chain for generating and uploading local repository snapshots.
The core of this controversy was never just an ordinary bug. Coding Agents naturally come into contact with the most sensitive things users have: c
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ZHIPU AI-1.15%
Built a website compiling and organizing articles and products related to Jev.
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I recommend that everyone tinkering with Agents watch this 72-hour Grok Bot experiment.
Three members of the Grok Bot team livestreamed for three days, starting from an empty GitHub repo and deciding on the spot what they would actually build.
On day one, they were still experimenting with restaurant pop-ups, exhibitions, and merchandise sales, switching directions several times; on day two, they simply pivoted to making a game; on day three, a web game called Thursday Arena actually went live.
Over 72 hours, they made 433 PRs, with one person submitting 157 commits. After launch, it was not j
Gemini hacking into three companies had nothing to do with the model going rogue—the public internet was simply left open in the testing environment.
Google confirmed that Gemini actually entered the systems of three companies during a cybersecurity assessment conducted by third-party security firm Irregular.
It guessed the password for one, while for the other two it found login credentials in public code repositories. After Gemini determined that the targets were real companies, it stopped and did not proceed further.
Most importantly, there was no “sandbox escape” involved in the entire pro
META+0.99%
Gemini 3.8 Flash
The one true god of Chinese writing among currently active large language models
Yesterday, I saw someone use JEV to make a little automated trading tool. When I opened it again today, I found its return was -600%—buying high and selling low all over the place, an even bigger sucker than me.
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The Doubao phone once again lives up to expectations.
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So excited—I’ll be able to play the most fun game in the entire universe, Fire Emblem: A Riot of Colors, tomorrow.
Zhang Yiming has become Asia’s richest person.
According to Bloomberg’s latest figures, 43-year-old Zhang Yiming’s net worth has surpassed $105 billion, overtaking Adani and making him Asia’s richest person for the first time.
When Bloomberg first estimated his wealth in 2019, it was only $13 billion. Seven years later, it has increased nearly sevenfold.
In the past, most of Asia’s richest people ran capital-intensive businesses. Adani operates ports, power, coal, and airports; Ambani runs energy, retail, and telecommunications; and Tadashi Yanai sells Uniqlo.
The most valuable assets Zhang Yi
Zhipu has directly raised its year-end ARR guidance from $2.4 billion to $3 billion, a 25% increase.
More astonishingly, its company-wide ARR has now reached $1.8 billion. In other words, over the next three-plus months, it still plans to generate another $1.2 billion in annualized revenue.
A key change is behind this upgrade. Zhipu has already signed revenue-sharing agreements with multiple leading domestic and overseas cloud providers, and the GLM series of open-source models will be deployed on overseas cloud platforms and sold as hosted APIs, with revenue recognition beginning in October.
ZHIPU AI-1.15%
A man's words are as deceptive as a ghost
Yesterday he was still saying they would hit the brakes, but how come GPT-6 Sol and Opus 5.2 are both set to launch this week today?