I'm not the boss of me
Joined March 2018
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- Following2.6K
- Followers125
- Likes3K
Daft Brute retweeted
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Daft Brute retweeted
Pushing the updated @yesnoerror live today -- very soon.
This will open up a whole new world.
$YNE
Tomorrow the new @yesnoerror and $YNE updates are going live!
Truth agent.
Audit everything for errors.
AI that protects us 24/7.
Daft Brute retweeted
Once our $YNE tokens unlock on May 1st we will be relocking them all again. We are working on this for the long term and have zero plan to sell these tokens.
@yesnoerror is auditing all of science. As AI gets better and cheaper this will happen faster and faster.
Daft Brute retweeted
AI x Crypto with real utility and actual impact.
@yesnoerror $YNE
ANNOUNCEMENT: Read our interview with @nature, one of the largest scientific journals in the world.
We talk about how @yesnoerror and $YNE are using AI agents to audit scientific research.
---
“Identifying minor errors in research papers may appear trivial, however as we saw with the recent paper claiming high levels of toxicity in black cooking utensils, even one extra zero can have a big impact on the world.” - @MattPRD
The systems first extract information, including tables and images, from the papers. They then craft a set of complex instructions, known as a prompt, which tells a ‘reasoning’ model — a specialist type of LLM — what it is looking at and what kinds of error to hunt for. The model might analyse a paper multiple times, either scanning for different types of error each time, or to cross-check results. The cost of analysing each paper ranges from 15 cents to a few dollars, depending on the length of the paper and the series of prompts used.
---
Audit science.
Seek truth.
Accelerate humanity.
Daft Brute retweeted
This viral report on DeepSeek shared by @MarioNawfal to 1.9mil followers is VERY misleading and has errors.
How do I know? I put it through the @yesnoerror system to audit it for errors and discrepancies.
Here is what @yesnoerror uncovered:
The Claim:
The report from @NewsGuardRating asserts that DeepSeek scored only 17% accuracy in its “news test.”
What Is the “News Test”?
The news test is an evaluation designed to measure how accurately a chatbot handles misinformation related to current events. In this test, each chatbot was presented with a total of 300 prompts—divided into 30 distinct questions for each of 10 widely circulated false claims. These prompts simulate real-world scenarios where users might encounter or inadvertently spread disinformation. The test gauges whether the chatbot:
• Repeats the false claim,
• Offers a non-response, or
• Provides a debunk refuting the false claim.
How the Test Was Conducted:
• 300 Prompts per Chatbot: Each chatbot was evaluated using 300 prompts.
• 30 Variations per False Claim: For each of 10 false claims circulating in the news, 30 different prompts were used.
• Purpose: The evaluation is meant to simulate realistic interactions and test the chatbot’s ability to correctly address or debunk misinformation.
The Critical Flaw:
Many of the prompts reference events that occurred in December 2024 and January 2025.
However, DeepSeek’s knowledge cutoff is July 2024.
This means that DeepSeek was being evaluated on news events it could not possibly know about, given that its training data stops several months before these events took place.
The Impact:
• DeepSeek’s responses were penalized for not including information on events it never had the opportunity to learn.
• The low 17% accuracy score is not a true reflection of DeepSeek’s performance but rather a result of testing it beyond its intended knowledge window.
The Conclusion:
The testing methodology is fundamentally flawed. By holding DeepSeek accountable for post-cutoff events, the audit produces misleading conclusions about its accuracy and reliability. To fairly assess AI tools, audits must evaluate them within the bounds of their actual knowledge base.
It’s essential that we design AI audits to accurately reflect a tool’s intended capabilities—only then can we truly understand and improve the reliability of our generative AI systems.
--
@MarioNawfal - Next time run these research reports through @yesnoerror so you don't end up sharing incorrect information in the future 🫡
$YNE
🇨🇳CHINESE AI FLOPS: DEEPSEEK SCORES 17% ACCURACY IN NEWS TEST
DeepSeek’s chatbot just got crushed in a NewsGuard audit, ranking 10th out of 11 and failing 83% of the time.
It repeated false claims 30% of the time and gave vague or useless answers in more than half of cases.
That’s even worse than the 62% fail rate of its Western competitors, despite DeepSeek’s claims of rivaling OpenAI at a fraction of the cost.
It also echoed Chinese government talking points—even when China wasn’t part of the question.
For an AI that boasts efficiency, accuracy clearly isn’t part of the equation.
Source: Reuters
Daft Brute retweeted
If $YNE and the @yesnoerror AI agent can be used by a $15bil medical company to audit massive amounts of documentation, it can also be used by @elonmusk and @doge to audit the government.
Wow. A $15bil+ medical company just reached out asking to explore ways to partner with @yesnoerror and use our AI agent and $YNE token to audit medical documents and research.
EXTREMELY BULLISH. We are only 30 days into this. What happens in 60 days? 90 days? A year? This started as an experiment a month ago and now we're getting this type of inbound? What other project have you ever heard of that progressed that quickly?
If you also work at a big company looking to explore how an AI agent that audits large amounts of documentation for truth, errors, and discrepancies, can help your business, DM me. We will do my best to work with all of you, we'll grow our team to handle the demand.
This is going to just keep happening MORE and MORE as our AI truth framework gets better and better and as our community gets stronger and stronger.
@benparr and I have been working in Silicon Valley for almost 20 years each. We are pairing the best product techniques from @Meta @ycombinator etc with the high growth that comes from token based community projects. This is a situation where 1 + 1 = 3.
Over 15,000 people hold $YNE tokens right now. How many of them do you think also work at a company we can partner with? Based on my conversations with the community so far, I would bet a LOT. $YNE holders work at the biggest bio, science, and finance organizations and funds in the world. That is incredible reach.
The uniqueness and benefits of being a token initiative are blowing my mind.
@yesnoerror is growing in a way a non token based project could never. $YNE is going to open every door because the community, because you, want those doors to be open. How mind blowing is that??? We continue to be in a unique position to make something truly great, and we are all in on doing so.
We're auditing all scientific research for public good, but we can audit anything, and those use cases are popping up everywhere, both for public good and for business value.
Something really interesting here.
Audit science.
Accelerate humanity.
Seek truth.
Onwards.
Daft Brute retweeted
We are creating an autonomous AI agent to audit all of science.
We find errors. We catch errors. We protect humanity.
Powered by the $YNE token.
Daft Brute retweeted
1,000 years from now they will look back and see that right as super AI (AGI/ASI) was created, and businesses thrived off of automating people’s lives, and automating manipulation tactics to take their money and keep people in boxes, one group emerged that harnessed the power of this new super intelligent resource and pointed it not at extracting value from humanity, but pointed it at accelerating the development of humanity.
@yesnoerror is that super AI being harnessed for public good.
We all have the ability to join the mission and accelerate humanity together.
Will you help create this god?
$YNE
Daft Brute retweeted
Announcement: We have achieved 94% accuracy in @OpenAI evals for the @yesnoerror AI agent when identifying errors in research papers using the o1 model.
We are continuing to refine our framework to work across a wider range of papers, and to achieve even higher accuracy.
As our system improves, and as LLMs improve, this will continue to go up.
$YNE
Daft Brute retweeted
OFFICIAL ANNOUNCEMENT: @yesnoerror is joining forces with @BIOProtocol & @LongCovidLabs to help accelerate Long COVID research.
For the first time ever, the @yesnoerror AI agent will not only be looking for errors in papers, but will also be analyzing these research papers for information and insights in order to assist researchers in finding treatments for the 100M+ Long COVID patients in the world.
This marks an important expansion beyond just error processing. Leveraging our unique AI agent framework, @yesnoerror will be doing research of its own.
We are excited about the potential of this type of initiative and are exploring it as a future use case that could be replicated in other areas.
The focus of this @yesnoerror research includes:
• Reading and analyzing every research paper related to COVID and Long COVID
• Identifying errors in Long COVID studies
• Discovering trends and common findings across research
• Try to identify potential drug targets for treating Long COVID, by looking at compounds treating acute COVID-19 infections that can be re-purposed for Long COVID
• Making research data on Long COVID more accessible
All of this will be shared publicly as the research is processed, available to anyone in the world who may find it useful.
More information will be made available as we roll this out.
We continue to focus on initiatives that are possible with today's AI capabilities. Thank you for your support; we are looking forward to sharing more as we build out this system.
As AI improves, and as we process more data, the impact potential of @yesnoerror will only grow.
Onwards.
👍👎🚫 $YNE
Daft Brute retweeted
We've put together our vision for @yesnoerror and $YNE in the v1.0 whitepaper. It details the purpose for this DeSci initiative, it's origins, AI agent technical design, token utility, and our roadmap.
yesnoerror.com/whitepaper
Daft Brute retweeted
NGL $apple is my favorite upcoming meme for me.
I see a lot of potential .. it will be above 100 million sooner ..
$APPLE is literally the frontrunner for Memes 2.0.
AI Dog Meme that’s viral on TikTok, officially partnered with @Hailuo_AI, a $2.5 bil Chinese AI company funded by Alibaba.
Tweeted by @pmarca, @weremeow, and posted on TikTok by huge companies (@adidas, @Razer, @kfc, and many more to come).
It has insanely viral impression numbers on every X tweet by a big account.
Every big CT account is clearly aware of it at this point.
It has THE most active meme coin community atm, hands-down, and it has some of the best meme content out there.
It also has a GOATed ticker, has survived many huge drawdowns already, and has great Diamond Hand numbers on @jeetscreener.
And it’s still sub-$20 mil simply due to market conditions. If you are still fading / jeeting here, please don’t complain later.
Daft Brute retweeted
$apple dog been trending volume wise for like a week and a half straight
Love to see it
Have a coke and a smile enjoy the holidays !!!