#Automated Research

[jcmarchi]

Autoscience Carl: The first AI scientist writing peer-reviewed papers

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Autoscience Carl: The first AI scientist writing peer-reviewed papers

The newly-formed Autoscience Institute has unveiled ‘Carl,’ the first AI system crafting academic research papers to pass a rigorous double-blind peer-review process.

Carl’s research papers were accepted in the Tiny Papers track at the International Conference on Learning Representations (ICLR). Critically, these submissions were generated with minimal human involvement, heralding a new era for AI-driven scientific discovery.

Meet Carl: The ‘automated research scientist’

Carl represents a leap forward in the role of AI as not just a tool, but an active participant in academic research. Described as “an automated research scientist,” Carl applies natural language models to ideate, hypothesise, and cite academic work accurately. 

Crucially, Carl can read and comprehend published papers in mere seconds. Unlike human researchers, it works continuously, thus accelerating research cycles and reducing experimental costs.

According to Autoscience, Carl successfully “ideated novel scientific hypotheses, designed and performed experiments, and wrote multiple academic papers that passed peer review at workshops.”

This underlines the potential of AI to not only complement human research but, in many ways, surpass it in speed and efficiency.

Carl is a meticulous worker, but human involvement is still vital

Carl’s ability to generate high-quality academic work is built on a three-step process:

Ideation and hypothesis formation: Leveraging existing research, Carl identifies potential research directions and generates hypotheses. Its deep understanding of related literature allows it to formulate novel ideas in the field of AI.

Experimentation: Carl writes code, tests hypotheses, and visualises the resulting data through detailed figures. Its tireless operation shortens iteration times and reduces redundant tasks.

Presentation: Finally, Carl compiles its findings into polished academic papers—complete with data visualisations and clearly articulated conclusions.

Although Carl’s capabilities make it largely independent, there are points in its workflow where human involvement is still required to adhere to computational, formatting, and ethical standards:

Greenlighting research steps: To avoid wasting computational resources, human reviewers provide “continue” or “stop” signals during specific stages of Carl’s process. This guidance steers Carl through projects more efficiently but does not influence the specifics of the research itself.

Citations and formatting: The Autoscience team ensures all references are correctly cited and formatted to meet academic standards. This is currently a manual step but ensures the research aligns with the expectations of its publication venue. 

Assistance with pre-API models: Carl occasionally relies on newer OpenAI and Deep Research models that lack auto-accessible APIs. In such cases, manual interventions – such as copy-pasting outputs – bridge these gaps. Autoscience expects these tasks to be entirely automated in the future when APIs become available.

For Carl’s debut paper, the human team also helped craft the “related works” section and refine the language. These tasks, however, were unnecessary following updates applied before subsequent submissions.

Stringent verification process for academic integrity

Before submitting any research, the Autoscience team undertook a rigorous verification process to ensure Carl’s work met the highest standards of academic integrity:

Reproducibility: Every line of Carl’s code was reviewed and experiments were rerun to confirm reproducibility. This ensured the findings were scientifically valid and not coincidental anomalies.

Originality checks: Autoscience conducted extensive novelty evaluations to ensure that Carl’s ideas were new contributions to the field and not rehashed versions of existing publications.

External validation: A hackathon involving researchers from prominent academic institutions – such as MIT, Stanford University, and U.C. Berkeley – independently verified Carl’s research. Further plagiarism and citation checks were performed to ensure compliance with academic norms.

Undeniable potential, but raises larger questions

Achieving acceptance at a workshop as respected as the ICLR is a significant milestone, but Autoscience recognises the greater conversation this milestone may spark. Carl’s success raises larger philosophical and logistical questions about the role of AI in academic settings.

“We believe that legitimate results should be added to the public knowledge base, regardless of where they originated,” explained Autoscience. “If research meets the scientific standards set by the academic community, then who – or what – created it should not lead to automatic disqualification.”

“We also believe, however, that proper attribution is necessary for transparent science, and work purely generated by AI systems should be discernable from that produced by humans.”

Given the novelty of autonomous AI researchers like Carl, conference organisers may need time to establish new guidelines that account for this emerging paradigm, especially to ensure fair evaluation and intellectual attribution standards. To prevent unnecessary controversy at present, Autoscience has withdrawn Carl’s papers from ICLR workshops while these frameworks are being devised.

Moving forward, Autoscience aims to contribute to shaping these evolving standards. The company intends to propose a dedicated workshop at NeurIPS 2025 to formally accommodate research submissions from autonomous research systems. 

As the narrative surrounding AI-generated research unfolds, it’s clear that systems like Carl are not merely tools but collaborators in the pursuit of knowledge. But as these systems transcend typical boundaries, the academic community must adapt to fully embrace this new paradigm while safeguarding integrity, transparency, and proper attribution.

(Photo by Rohit Tandon)

See also: You.com ARI: Professional-grade AI research agent for businesses

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[andkeeponplaying]

I have suffered more than Christ today

[insert-game]

i hate gen AI so much i wish crab raves upon it

[sparrowdigit]

Step-by-Step Guide to Selling Digital Products with Ease

The digital economy is booming, and selling digital products—like eBooks, courses, templates, or printables—has never been more accessible. With low startup costs and limitless scalability, it’s an ideal venture for creators and entrepreneurs. Here’s how to start your journey effortlessly:

1. Identify Your Niche & Audience

Begin by pinpointing a niche you’re passionate about and that has demand. Research communities on social media, forums, or platforms like Reddit to understand pain points. For example, if you’re skilled at graphic design, consider offering Canva templates for small businesses. Narrowing your focus helps you stand out.

2. Validate Your Idea

Before investing time, validate demand. Use surveys, polls, or pre-sale offers to gauge interest. Share a concept on Instagram or LinkedIn and ask followers if they’d buy it. Tools like Google Forms or Gumroad’s pre-order feature can simplify this step.

3. Create Your Product

Focus on quality and usability. Use tools like Canva for design, Teachable for courses, or Adobe Audition for audio guides. Keep it simple—start with one product (e.g., a PDF workbook) before expanding. Ensure it’s professionally presented and solves a specific problem.

4. Choose a User-Friendly Platform

Select a platform that handles hosting and sales. Options like Gumroad, Ko-fi, or Etsy are beginner-friendly. For more control, use Shopify or WordPress with WooCommerce. Prioritize platforms with built-in marketing tools and analytics.

5. Set Up Payments & Pricing

Integrate secure payment gateways like Stripe or PayPal. Price your product strategically: research competitors, consider value-based pricing (e.g., $29 for a time-saving template bundle), or offer tiered options (basic vs. premium).

6. Launch & Market Smartly

Build anticipation before launching. Share snippets on social media, collaborate with micro-influencers, or offer limited-time discounts. Use email lists (start with free lead magnets) and SEO-friendly product descriptions to drive organic traffic.

7. Prioritize Customer Support

Automate delivery using platforms like SendOwl to avoid manual work. Create a FAQ section and respond promptly to queries. Positive reviews boost credibility, so encourage feedback with follow-up emails.

8. Analyze & Scale

Track sales and customer behavior with analytics tools. Identify top-performing marketing channels and double down. Expand your offerings based on demand—turn a popular eBook into a video course, or bundle products for upsells.

Final Thoughts

Selling digital products is a rewarding way to monetize your skills. By starting small, validating ideas, and leveraging the right tools, you can build a sustainable online business with minimal friction. Ready to launch? Your audience is waiting!

Take the first step today—create, share, and grow. The digital world is yours to conquer.

(Word count: 500)

This guide balances actionable steps with encouragement, ensuring readers feel empowered to start their digital product journey without overwhelm. Each section is concise, with practical examples to inspire immediate action.

[orbit-consultancy]

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[xlsdesignt]

what u think, to much colour, or less?

https://sdesignt.threadless.com/

[doolallymagpie]

One bit of worldbuilding in the BattleTech AU I’ve been picking at is the MCR, as I really do have to explain why four dipshits, only two of whom were in a navy, can run a ship by themselves beyond “fly it somewhere we can pick up more crew”, so, here goes I guess

The Tachi-class was part of a design experiment that resulted from finding an SLDF AI research facility on one of McEvedy’s moons, so naturally, it and the Donnager-class have significantly smaller crew requirements than normal, because they’re very automated (though less so than in The Expanse canon because this is still 80s Retrofuture)

Another aspect of Mickie AI research is that there’s a lot of PBIs in Congress that really want to end the dominance of the MechWarrior (Bobbie’s dad isn’t in Congress but he’s definitely one of these PBIs with a Complex About It, leading to so much drama during family dinner night), so there’s a lot of funding going to drone ‘Mech research and nothing much to show for it (because if the SLDF could have a computer pilot a ‘Mech, they’d have done it)

[cryptidize]

RAAAAAAAH IM FOAMING AT THE MOUTH OVER THE FUCKING STATE OF THE INTERNET AND OUR INABILITY TO EVEN TALK ABOUT WHAT'S HAPPENING!!!!!!!!!!! The exploitation systems at play in our every day lives. It's touching everything you know. And it's worse than you could ever imagine.

[silver-eater]

Started another rimworld playthrough bc I'm too sillay

This one is regular old mechanitor bc I have so many mods that add to em but I never play them. My main goals are to get a gestalt engine to manage the base so my mechanitor can go places, build a sleeve pod so I can put my mechanitor into a superior body, as well as make clones to eventually replace most mechs with hyperspecialized clones, freeing up bandwidth for warmechs (i was considering using androids but in my experience android mods kinda suck, theyre either inherently weaker than humans, stronger in a way that makes me compelled to use them exclusively and sucks all the fun out, or just rlly weird to use.) And collect lots of genes through immensely unethical means to make my clones even more powerful. The way I'll get them is wait for a human variant called a wretch to enter my base, this is doable bc a certain pirate faction can have them. Wretches have a gene that gives the host ten random genes every day, so I take that gene, make a xenogerm, and now any prisoner can be given the same gene. Now I put them in this extraction pod and every fifteen days or so I get a new random gene. There will be many garbage genes to toss, but in time it will make me super op.

[cosmosjourney1]

🏥 AI in Healthcare: How Artificial Intelligence Is Revolutionizing Medical Treatment

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[xploreitcorp5]

How do Digital Marketing Skills Help Students Collaborate with Brands?

1. The Importance of Digital Marketing Skills for Students  

These days, having digital marketing skills is really helpful for students. With brands going online, they’re interested in fresh ideas, especially from younger folks. Students who get the hang of digital marketing can create content, check how it’s doing, and run campaigns. So, how do these skills help students work with brands? They help students think strategically and be creative partners, not just interns. Learning from a digital marketing course in Coimbatore can give students the confidence to contribute to real success stories for brands.  

2. Social Media and Brand Growth  

Most students are already using social media, but knowing how to handle it like a pro can make them stand out. Companies want ambassadors who know the ropes—like how algorithms work, planning content, and connecting with audiences. With training in digital marketing from Coimbatore, students learn how to use social media tools and tactics. This makes them perfect fits for influencer programs and promotions. So, how do these skills come in handy? They turn casual scrolling into smart marketing.  

3. SEO and Content Creation  

Brands want content that not only looks good but also ranks well. Students who understand SEO can write better blogs, make engaging videos, or create catchy reels. In a digital marketing course in Coimbatore, they pick up how to use keywords and reach the right audience. When students get a handle on brand voice and messaging, their content fits right in with what brands need. So again, how do these skills help students work with brands? They turn creative writing into outcomes that matter.  

4. Data Analytics for Better Campaigns  

Digital marketing isn’t just about being creative—it’s about getting results too. Students who are trained in tools like Google Analytics and can track engagement and conversion rates help brands understand their audience better. A hands-on course in Coimbatore helps them spot trends and tweak campaigns. Brands appreciate working with students who can back their ideas with actual data, making those collaborations practical.  

5. Real-World Learning Through Internships  

Many digital marketing courses offer hands-on internships or projects. A course in Coimbatore gives students a chance to work with real brands. During these internships, they can pitch ideas and run online campaigns, which helps build their confidence for future projects. Getting a taste of real marketing prepares them for roles in established companies later on.  

6. Email Marketing and CRM Know-How  

Email campaigns are still a strong tool for engaging with brands. Students who learn about automation platforms like Mailchimp or HubSpot know how to create mailing lists and track open rates. A good digital marketing training in Coimbatore can help them design effective emails and handle CRM data. Brands value students who know how to keep and convert leads with personalized messaging.  

7. Opportunities in Influencer and Affiliate Marketing  

More brands are teaming up with micro-influencers, which is where students often fit in. With proper training from a digital marketing course in Coimbatore, students can start making money from their content or join affiliate programs. When they know how to market themselves and others, brands benefit from having dedicated supporters. This is another great example of how these skills help students and brands create successful campaigns together.  

8. Building Personal Brands to Attract Collaborations  

Students with good digital marketing skills learn how to shape their online presence. Whether it’s on LinkedIn or through their own blogs, having a strong brand helps them attract partnerships. A training program in Coimbatore teaches them how to present themselves professionally. Brands look for partners who share their values, and well-branded students are often top choices for collaboration.  

9. Freelancing and Consulting from Day One  

Students don’t have to wait until graduation to start working. Those skilled in digital marketing often take freelance gigs or consult for small businesses. A course in Coimbatore gives them the confidence to offer their services and tackle real business problems. Freelancing helps them build a portfolio while getting hands-on experience—another solid reason why these skills are useful for early career collaboration with brands.  

10. Wrapping It Up: Learning to Succeed  

So, how do digital marketing skills help students work with brands? They mix creativity with strategy and data—everything brands are looking for. With the right training, students become valuable partners instead of just learners. A structured digital marketing course in Coimbatore gives students the confidence to meet industry expectations. If you want to be the kind of student brands are looking for, Xplore IT Corp is a great place to start.  

FAQs  

1. Why should students learn digital marketing?  

It opens up career options, freelancing opportunities, and partnerships with brands before graduation.  

2. Can students work with brands while studying?  

Absolutely! With the right skills and online presence, they can take on internships and freelance roles.  

3. What’s the benefit of a digital marketing course in Coimbatore?  

It offers hands-on training, a current curriculum, local industry exposure, and internship chances.  

4. What digital marketing tools should students focus on?  

They should look at Google Analytics, Meta Ads, SEO tools like SEMrush, Canva, Mailchimp, and content schedulers.  

5. Where can I find good digital marketing training in Coimbatore?  

Xplore IT Corp is among the best institutes for digital marketing training in Coimbatore, offering practical modules and help with placements.

[zenovelsworld]

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[xx-obliviousfantasy-xx]

What the fuck even IS this thing? I've never seen or heard of these in my life.

...Wait is this what that one fucking robot in Midnight Burger was? Cause I thought they made that shit up and I missed that one of the characters made it.

Holy shit so they're actually just letting these bots roll around the city ??? Are they supervised?!? How new are these things?!?? Oh my god let me read the damn article hold on because that sounded fucking terrifying being in the middle of the fuckin road.

[ailifehacks]

🌐 AlphaEvolve AI Discovery: Automated Scientific Breakthroughs in Research Algorithms

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[xtruss]

Chinese Researchers Release World’s First AI-Based Fully Automated Processor Chip Design System

— Global Times | June 10, 2025

Photo: VCG

Chinese Researchers have released the World’s First Fully Automated Processor Chip Design System based on Artificial Intelligence (AI) Technology, making AI-designed chips a reality. With its designs comparable to the performance of human experts across multiple key metrics, the system represents a significant step toward fully automated chip design, potentially revolutionizing how chips are designed and manufactured.

The system named QiMeng jointly released by the Institute of Computing Technology, Chinese Academy of Sciences (CAS) and the Institute of Software of CAS, were recently published on arXiv.org, the Science and Technology Daily reported on Tuesday.

The QiMeng works like an automated architect and builder for computer chips. Instead of engineers manually designing every component, it uses AI to handle both the hardware and software aspects of chip creation.

China’s AI Chip Tool QiMeng Beats Engineers, Designs Processors In Just Days! With QiMeng, China’s Top Scientists Have Used AI To Build Processors Comparable To Intel’s 486 and Arm’s Cortex A53. June 10, 2025, Aamir Khollam Representational Image of AI-Driven Chip Design Process in China. Михаил Руденко/iStock. InterestingEngineering.Com

Expected to transform the design paradigms for the hardware and software of processor chip, the system not only significantly reduces human involvement, enhances design efficiency and shortens development cycles, but also enables rapid, customized designs tailored to specific application scenarios – flexibly meeting the increasingly diverse demands of chip design, the Science and Technology Daily reported.

Processor chips are hailed as the “Crown Jewel” of modern science and technology, with their design processes being highly complex, precise, and requiring a very high level of expertise. Traditional processor chip design relies heavily on experienced expert teams, often involving hundreds of people and taking months or even years to complete, resulting in high costs and lengthy development cycles.

Meanwhile, with the development of emerging technologies such as AI, cloud computing and edge computing, market demands for specialized processor chips and their corresponding foundational software optimization are growing rapidly. However, the number of professionals engaged in the processor chip industry in China is severely insufficient to meet this increasing demand.

In response to these challenges, the QiMeng system leverages advanced AI technologies such as large models to realize automated CPU design. It can also automatically configure corresponding foundational software for the chip, including operating systems, compilers and high-performance kernel libraries, according to the report.