By the TensorMax editorial team
· Drawing from sources across the AI industry
Today's top story
funding event
$1B
Instinct, the startup responsible for creating a viral artificial intelligence agent, has successfully raised $1 billion in funding.
Why it matters. The $1 billion funding of Instinct at a $10 billion valuation underscores the significant strategic stake in the AI market, particularly for startups developing innovative AI products that can perform everyday tasks. This investment indicates a substantial vote of confidence from investors in Instinct's viral artificial intelligence agent, suggesting its potential for widespread adoption and impact on the industry. With a valuation of $10 billion, Instinct is now poised to further expand its capabilities and solidify its position in the competitive AI landscape.
Instinct, the startup responsible for creating a viral artificial intelligence agent, has successfully raised $1 billion in funding. This funding round values the company at $10 billion, highlighting the intense investor interest in AI startups, especially those that are developing products aimed at simplifying everyday tasks through artificial intelligence. The funding is a significant milestone for Instinct, demonstrating the market's belief in its product's potential for widespread use and adoption. This development is particularly noteworthy given the current AI market landscape, where companies are continually seeking innovative solutions to stay competitive. The substantial investment in Instinct reflects the growing demand for AI-driven tools that can efficiently carry out tasks, making it an interesting space to watch for further innovations and investments. As Instinct moves forward with its newfound funding, it will be crucial to observe how the company chooses to expand its product offerings and enhance its AI capabilities. The success of Instinct's viral AI agent and the significant funding it has received will likely encourage more startups to explore the development of similar AI-powered tools, potentially leading to a surge in innovative AI products in the near future.
More from today
product launch
Why it matters. The strategic stake of SpaceX's Starship rocket reaching orbit for the first time is significant, as it marks a key moment for the programme after 13 previous launches that purposefully fell short of orbit to maximise safety. With this launch, SpaceX will be adding 26 of its first upgraded Starlink satellites, known as V3s, to the company's growing 11,000-plus spacecraft network already in orbit, which is expected to generate revenue for the company. According to SpaceX Chief Executive Officer Elon Musk, the V3 spacecraft will increase the overall capacity of Starlink more than 10 times, with plans to launch 10 times as many satellites in the future.
model release
Why it matters. The release of Holo4, a new series of agentic models by Hugging Face, marks a significant milestone in the development of generalist computer-use agents. With two sizes available, 27B dense and 35B-A3B Mixture of Experts, Holo4 is poised to revolutionize the way AI interacts with software. Notably, Holo4 27B scores 61.7% on the OSWorld 2.0 benchmark, trailing only the strongest closed models, and does so with orders of magnitude fewer parameters and at a much lower cost. This breakthrough has the potential to disrupt the AI industry, enabling more efficient and cost-effective solutions for businesses and organizations.
product launch
Why it matters. Google's plan to launch TPUs in space as part of Project Suncatcher has significant implications for the future of AI training and inference. With the ever-growing scale of compute used for AI and its energy needs, space provides a viable solution with vast room and great solar power. Google has already tested its Trillium TPUs and found they can survive a radiation total ionizing dose greater than what they would receive during a five-year space mission, paving the way for a potential shift in how AI systems are trained and deployed.
model release
Why it matters. The creation of a fully working computer from scratch using JavaScript and Opus 5.5 has significant implications for the AI industry, as it demonstrates the potential for complex systems to be built using high-level programming languages. With this achievement, Matt Shumer has shown that it is possible to construct a functional computer using only JavaScript, which could have far-reaching consequences for the development of AI systems. According to the details of the project, the computer is fully functional, which is a notable accomplishment given the complexity of the task. This breakthrough could inspire new approaches to AI system design and development, potentially leading to more efficient and innovative solutions.
model release
Why it matters. The release of Claude Fable 5 by Anthropic marks a significant milestone in the development of AI models, as it can accurately draw a pelican riding a bicycle, a task that was previously challenging for models. With a price point of 30 cents and 72 cents for the best ones, Fable 5's capabilities demonstrate the rapid progress being made in AI, particularly in coding agents. This development has major implications for the industry, as models like Fable 5 can potentially solve complex problems through brute force, given clear goals and instructions. As a result, Anthropic's valuation has skyrocketed, and the company's model has become a benchmark for the industry, with other companies like OpenAI quickly following suit with their own releases, such as GPT-5.6.
benchmark result
Why it matters. The instruction to 'not guess' significantly reduced made-up claims in web extraction services, from 70.7% to 20.2% across 16 models, as demonstrated by Earn an Honest Dollar's benchmark test. This reduction is crucial for ensuring the accuracy and reliability of web extraction services, which are essential for various applications. By providing a clear instruction to return null for missing fields, the test showed that models can be trained to be more honest and less prone to inventing information. This has significant implications for the development of more accurate and trustworthy AI models, particularly in applications where data accuracy is paramount. With this instruction, the number of made-up fields decreased substantially, from 405 out of 573 missing fields to 116 out of 574, highlighting the importance of clear guidelines in AI model development.
Catch up quick
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Periodic Labs publishes paper on its Periodic Neon model, which has achieved a 55.3% success rate on XRD analysis
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Researchers introduce AgentWorld, a benchmark for evaluating long-horizon collaboration of multi-agent LLMs, with top models achieving 52.0% task success
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Research paper by djbinder estimates AI systems can perform tasks at a significantly lower cost than humans, with a median task costing around 4 cents per hour of human work
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Nvidia authorizes additional $150 billion for share buyback, taking total to $235 billion
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Nscale raises $3.4 billion in pre-IPO financing led by Third Point
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Nvidia partners with over 100 industry partners to launch Open Agent Safety Platform
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Anthropic is preparing for a looming IPO, which could make CEO Dario Amodei one of the world's multibillionaires
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Anthropic's valuation skyrockets to potentially over $1 trillion due to the success of its AI-powered software development tools
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Radicle discloses critical security vulnerabilities exposing private repositories in plain text
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Florida Attorney General James Uthmeier seeks emergency injunction against OpenAI and ChatGPT
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China expands travel restrictions to families of top AI talent in private firms
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Automated traffic is expected to surpass human traffic on the internet, with agents and AI crawlers driving the growth, and reaching 1,000 times human traffic in five years
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Nu Holdings, owner of Nubank, in talks to buy Monzo at up to £10bn
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The United States is experiencing a surge in data center development, with nearly 100 hyperscale data centers currently operating and another 120 under construction.
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GSMA Intelligence forecasts 2.4 billion 6G connections globally by 2035
Also on the desk
The Sean Ellis test.Hit reply: if TensorMax disappeared tomorrow, would you miss it? If yes, what specifically?
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