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Traditionally, the product versions can be stressful, require multiple registration, endless tampering, bureaucracy and friction points.
Genspark It has developed a very different approach.
The AI-Nation-Nation Lean Team is practicing or “working in elegance”, so to speak-so that they can move in what they call “Gen Speed”. This allows them to issue new products and features in the fast caliphate (almost every week or so), which steadily leads to repeated annual revenues (ARR). as The company is proudIt can be “the fastest growing emerging ever in terms of ARR.”
“When people work in the original way of artificial intelligence, everyone is the manager in the first place,” Kayhaua (Kai) Chu, co -founder and CTO, told Venturebeat. “They are equipped with a team of artificial intelligence agents, who are a kind of reports, and they are able to provide the feature alone.”
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Addisan passes, the competition that will be leased
GensparkIt was launched in June 2024 by MAINFUNCHe was initially focused on Amnesty International Research. But despite reaching 5 million impressive users, the company moved away from this initial product to Super agentInstead of following a fixed sequence of steps as in traditional research, he chooses the best tools or sub -agents of the job, and forms results and set in actual time.
Launch on April 2, Super agent Supported by Claude from the Anthropor and can condense in the afternoon from the White Contemplate Office in 5 minutes, as Zhu claims. For example, he can make calls, download, verify facts, podcast production, document painter, do deep search and withdraw data schedules and slides.
“We still see it as a kind of research, but it is more technically advanced,” said Zhu, who has more than 20 years of experience in research in Google and Baidu.
The company has strongly added more and more features during the past four months; Here is a set of passes and prominent landmarks:
- April 11: It reached 10 million dollars, which was reported only 9 days after the superior agent was launched
- April 22: Artificial intelligence slices (hundreds of molds) were presented
- April 28: A dedicated super agent has been presented with adaptive personalities
- May 2: It was 22 million dollars, which is one month after its launch
- May 8: Artificial intelligence sheets that create full data schedules have been launched with one click
- May 15: The full download agent of Amnesty International, which manages and storing files
- May 19: It was 36 million dollars
- May 22: AI that can make phone calls have been launched
- June 4: Artificial Intelligence Secretary offered Gmail, Calendaries and Google Drive
- June 10: Amnesty International and MCP browser has been launched with extended browsing possibilities and tool market
- June 18: Provide artificial intelligence documents to create and manage documents
- June 25: The design studio was presented with “Canva” capabilities to create visual content
- July 10: Artificial intelligence pods have been launched
- July 17: Advanced editing features of artificial intelligence are presented
- July 31: Slides 2.0 has been released
- August 1: A multi -agent coincidence has been provided that can produce up to 10 factors at the same time
Genspark The area of the artificial intelligence agent is also heated with friendly competition. After declaring Openai Chatgpt agent In mid -July, Genspark conducted a comparative analysis and is “very confident” in its ability to bypass the competitor. To lead this point to the house, the company launched. “$ 1 million alongside confrontation“Challenge users to search for cases where other platforms excel over the Super Genspark.
In the first round, users were assigned to build a 12 -page financial slice using GensPack and Chatgpt agent; Users set 429 cases as the latter outperformed the previous one, each of them got $ 100 for their efforts.
In round 2 (which ended on Monday, August 4), Genspark rose to $ 200 for each victory and opened the competition to any Amnesty International tool as a opponent. Users were challenged to use the same claim to build slices on Genspark and the selected artificial intelligence tool, then download it to the Guemi for evaluation.
“Don’t try to start any drama here – is really excited about the arrival of the ecosystem of the entire artificial intelligence agent,” Posted on X. “It shows that we are pushing the borders in the right direction.”
Some user reactions:
How Genspark resembles artificial intelligence
Secret Genspark is its 20 people’s lean club and engineering philosophy “less control, more tools”. Zhou explained that more than 80 % of the code is written by artificial intelligence, which does not cure itself in itself, “because the type of coding is that you never look at the symbol.” Instead, Genspark has a “very rigid” symbol review to help ensure the quality of their code base.
“We only need a very small team of artificial intelligence to work in the situation of superheroes, such as Avengers“The coding of artificial intelligence and the functioning of artificial intelligence is very powerful, it is enlarged,” said Zhu, who said that they will gradually add the team members as needed.
He said that the team teams should be reorganized today “completely different.” He managed to manage 1,000 members with different levels of management and saw how to provide friction office policy.
GensparkOn the contrary, the “very transparent” team continues, and the “very high” productivity. “Everyone is working on a product that can ship,” said Zhu. “I think this will be the base that is looking forward, because Amnesty International really helps more and more people to do their job better.”
He also stressed the importance of immersing yourself in your product. From the designers themselves to the marketing team, “We are actually eating our dog food. We are consumed by our own products. This is how we will continue to improve the experience.”
Inside the pioneering agent in Genspark
Zhu noted that when the confusion was launched in December 2022, it ignited the capabilities of Amnesty International to convert the research. However, I followed a rigid workflow, as the platforms are forced to:
- Analysis of inquiries and the expansion of keywords;
- Recover the results of the upper web;
- RERARANK/Summary for the final response.
This was suitable for basic things, but “collapsed” in more complicated scenarios such as art comparisons, in -depth research and multi -step purchases and multi -factor. “On its essence, it was like an attempt to move in a maze with fixed turns,” Zhu said.
Genspark has built its search engine on this type of foundation, as it was placed on gradual improvements including specialized data sources, parallel search for the deeper investigation of complex information and mutual inspection of simultaneous factors to verify very complex data for “rapid dealing, during contradiction”. But they realized that they were still “bound” through the pre -determined workflow.
Super Agent uses nine in different size, and the difference in specialization Language models (LLMS) in a mixture of factors (MEE). Models save tasks into steps, delegation based on specialization and strength, then motivate each other. Super Agent is also equipped with more than 80 tools (from sub -agents who can create a snake icon to those that can make phone calls independently) and more than 10 suitable data collections of the web, partners and warehouses.
Genspark gives the tasks of Claude, Openai, Google Gemini, Deepseek. “In this way, we improve precision, and reduce hallucinations.”
The company also forms its Frontier model. However, it is not very aggressive about creating modern systems like Deepseek V3 or V4, as ZHU emphasized. The goal is that the model leads to a low level but heavy action.
“We are not trying to pay the borders of the border model,” he said. “We are trying to reduce cost and cumin, because many royal models are very large, very slow and very expensive for many relatively simple tasks.”
As for the direction of coding, the goal of Genspark is to allow everyone to experience, even for non -programmers where the concept may be “very far”.
“Many people think,” a vibrant coding, I heard about it, it looks great, but I am not aware of the integrated developer environment (IDE), I am not aware of the symbol. “Using Genspark, people can already be affected.”
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