#automated research

[zomb13s]

“Becoming Nobody: An Engineering Blueprint for Recursive Self-Erasure Through Metaphysical Re-indexing”

ABSTRACT This paper explores the systematic deconstruction and reinvention of selfhood as a recursive engineering process. Inspired by popular cultural artifacts such as Mr. Robot and Fight Club, we examine the metaphysical implications of digital existence, online persona dissolution, and fact-finding automation as acts of resistance and transcendence. We treat identity as a computational…

[jcmarchi]

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

New Post has been published on https://thedigitalinsider.com/autoscience-carl-the-first-ai-scientist-writing-peer-reviewed-papers/

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.

[zomb13s]

“Becoming Nobody: An Engineering Blueprint for Recursive Self-Erasure Through Metaphysical Re-indexing”

ABSTRACT This paper explores the systematic deconstruction and reinvention of selfhood as a recursive engineering process. Inspired by popular cultural artifacts such as Mr. Robot and Fight Club, we examine the metaphysical implications of digital existence, online persona dissolution, and fact-finding automation as acts of resistance and transcendence. We treat identity as a computational…

[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.

[nguyenthieutoan]

ChatGPT Agent của OpenAI ra mắt: Kỷ nguyên mới của AI Agent siêu thông minh!

Vậy là cuối cùng ngày chúng ta chờ đợi cũng đã đến! Đúng 0h ngày 18/07/2025 theo giờ Việt Nam, OpenAI đã chính thức “trình làng” một trong những sản phẩm đột phá nhất của mình: ChatGPT Agent. Trong buổi livestream được dẫn dắt bởi CEO Sam Altman và các chuyên gia chủ chốt của dự án, thế giới đã được chứng kiến một bước nhảy vọt thực sự – từ một AI chỉ biết trò chuyện, giờ đây chúng ta có một AI…

[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.

[aiworld89]

⚙️ How to Automate Emails, Ads, Customer Service & Research Using AI

Imagine cutting your daily workload in half—without hiring extra help. That’s the promise of AI automation, and in 2025, it’s more accessible than ever. Whether you’re a freelancer, small business owner, or part of a growing team, AI tools can now help you automate repetitive tasks like writing emails, running ads, handling customer queries, and researching topics—so you can focus on what truly…

[zomb13s]

“Becoming Nobody: An Engineering Blueprint for Recursive Self-Erasure Through Metaphysical Re-indexing”

ABSTRACT This paper explores the systematic deconstruction and reinvention of selfhood as a recursive engineering process. Inspired by popular cultural artifacts such as Mr. Robot and Fight Club, we examine the metaphysical implications of digital existence, online persona dissolution, and fact-finding automation as acts of resistance and transcendence. We treat identity as a computational…