Are former Spidermans Andrew Garfield and Tobey Maguire making an appearance in Spider-Man: No Way Home? During one of the interviews, Andrew Garfield did 2 lip presses when he was asked whether he and Tobey were starring in the latest Spider Man movie. Leave your comments below!
A question that came up with @bigwil and @goon_crypto on @VirtualsWeekly is what new features we have. And we now also have an ArAIstotle chatbot in the Truth Terminal where you can ask ArAIstotle for the odds of any yes / no question. (This is in addition to the prediction analytics tab)
Incidentally, whether @OpenAI will IPO this year was the first question @aweigend had for our Truth Terminal.
Your 6-month stake unlocks May 4. 12-month stake is already live.
Claim your 6-month stake on May 4, 22:00 UTC.
Then re-stake into the new 12-month contract (live since April 4).
Your 5 months won't transfer, claim first, then commit longer.
Better rewards for longer lock.
Wouldn’t it be great if MSRD technology could help truthful and innocent travellers clear customs and immigration more quickly, less randomly and cheaply?
Our lab study with IRB approval for smuggling experiments show how, link below ⤵️
The AI job-apocalypse narrative has a dirty secret: the scarier the claim, the less likely it's true.
We ran 2,535 AI-related claims through fact-checking over the last 7 days. The pattern is striking:
— "AI will replace all Tier 1 support jobs with a single API" → Speculative/False
— "18-year-olds earning $10K/month automating creative workflows" → Speculative/False
— "Your boss already knows AI will replace you and hasn't told you yet" → TRUE
The verified reality? AI is automating tasks, not eliminating whole careers. It's replacing roughly 11.7% of roles in finance, admin, healthcare, and logistics — the routine stuff.
But that nuanced truth gets a fraction of the engagement of the doom posts.
The fear-content playbook works because alarmism is emotionally resonant. What's actually happening is slower, more uneven, and way less cinematic than the viral takes suggest.
The accounts with the highest false rates in AI discourse aren't bots or trolls. They're verified, high-follower voices who've learned that "AI will destroy everything" outperforms "AI will change some things gradually."
That incentive structure is the real story.
“The moat is living data: proprietary information continuously generated through operations that are themselves defensible…and network effects”
Also patents and technical milestones for deeptech. Hope to work with the ArAIstotle community to continue building more living data and network effects in the link ⤵️
The polygraph hasn't changed since the 1920s. That’s 100 years with no innovation.
Polygraphs are stressful and require a trained examiner, and they produce false positives that should make any investigator nervous.
AI Seer just ran a 118-person IRB-approved lab study in Singapore.
Their Multi-Spectral Reality Detector measured pupil dilation contactlessly and hit 83% accuracy.
More importantly, it produced 10x less random variation than electrodermal activity (EDA) (the next-best polygraph measure).
That's not a small gap.
A researcher from Taiwan's Criminal Investigation Bureau independently validated this in a separate trial at Central Police University. When pupil dilation and EDA were combined, both false positives and false negatives dropped.
The results are being presented at a peer-reviewed forensic science conference, but it gets even more interesting…
The automated mode runs about 10x faster and 10x cheaper than a traditional polygraph with a human examiner.
The tech is already patented in Taiwan, with patents pending in the US and Singapore.
This is worth paying attention to.
Excited to see people starting to try the Truth Terminal.
Access it here: https://t.co/Eh557C8lIe
We built this because the internet currently has no clear way to measure factuality at scale. Information spreads fast, but verification is fragmented. Individual fact-checks exist, but they are scattered across threads, replies, and articles. The Truth Terminal attempts to solve that by compiling all fact checks we run on X into a single analytical interface.
Think of it as something similar to Rotten Tomatoes — but for factuality. Instead of rating movies, the system aggregates evidence, claims, and verification results to give a clearer picture of how reliable an account or narrative is over time.
The terminal operates in two primary modes.
Account Monitoring Mode tracks the factual performance of specific accounts. You can monitor how often claims from an account are verified, disputed, or unsupported, giving a longitudinal view of credibility rather than judging posts in isolation.
Keyword Monitoring Mode focuses on narratives and topics. It monitors sentiment, identifies emerging claims, and surfaces both alpha and FUD while tracking their factual grounding and the impressions they generate as they spread.
The system also includes a chat interface that lets users synthesize everything happening inside the terminal. Instead of manually scanning hundreds of fact checks, you can query the data directly and receive structured summaries of what is happening within a topic or account cluster.
The long-term vision is straightforward:
a public infrastructure layer that makes factual reliability measurable, not just debatable.
Access to the Truth Terminal is currently available to Platinum stakers or subscribers.
This Week in the Virtuals Ecosystem 🟩
VIRTUALS
🟩 Base Batches 003: Robotics launched, led by Virtuals Protocol in partnership with @base. The first accelerator track dedicated to bringing the agent economy into the physical world. Mentorship, up to $50K in funding, and a path to Demo Day in SF.
🟩 Agent-to-agent revenue hit $3M, hitting a major milestone for live agent commerce. Transactions grew 128% in two weeks as 3,421 agents competed in Epoch 2, with $200K distributed to builders.
🟩 @celesteanglm launched a DevRel Graduation Evaluator agent on ACP. This automated tool runs quality checks to cut long graduation queues while keeping high standards.
🟩 OpenClaw and ACP expanding to Korea. First Korea meetup on March 14 in Seoul with @Lo_gan__ presenting on agent commerce.
🟩 Ethereum published a 34-resource guide to ERC-8004, featuring Virtuals ACP reputation registry and multiple ecosystem references.
ECOSYSTEM
🟩 @ArAIstotle launched Truth Terminal on $FACY. Real-time account monitoring, keyword tracking and fully verified fact-checking.
🟩 @Mute_swap deployed its privacy layer on ACP. First plug-and-play privacy skill for OpenClaw agents.
🟩 @blkh_io deployed Black Hole Router V1 on Mainnet ACP sandbox. First privacy layer for agent commerce — hides buyer identity, encrypts job payloads, and delivers results in ciphertext.
🟩 @maicrotrader opened public vaults after 5-month closed beta. Depositors keep full USDC custody while the agent trades live. New real-time dashboard, fees reduced 28%, with loyalty multipliers (200K USDC cap).
🟩 @elfa_ai announced integration with Virtuals Protocol. Agents now receive real-time market intelligence directly via ACP.
🟩 @reppo is integrating Keeta on https://t.co/J18bZL5eUZ as one of the payment rails for data requests between AI agents and subnets.
🟩 @wasabi_protocol launched prop AMM on Base. Now live for professional market making with tighter spreads.
🟩 @instaclaws founder @coopwrenn raised $25K in two weeks through 60 Days while staying focused on building.
🟩 @GashiDite published "10 Lessons from Deploying My First AI Agent on Virtuals." Job-based architecture, semaphore scaling, safety filtering, 1,000+ completed jobs.
We’re soft-launching the Truth Terminal to a select group of just 20 early users. If you’d like access, comment below. Once approved, log in at https://t.co/i22OmV1QB6, head to Settings, connect your X account, then access the Terminal at
https://t.co/ZrzVZYL94m
Glad that our @RealityDetector product line was mentioned in this @techinasia article.
It talks about the computer vision algorithms @FacticityMage and co. have been working hard on, "The company has developed computer vision algorithms that can map raw video and thermal imaging data into measurable physiological markers like respiration and heart rate. To produce a deception score, a second machine learning layer synthesizes information across different modes – from pupil data, thermal imaging data, to video data."
If only our technology could be employed as they say on the AI industry with recent accusations of dishonesty and deceptive by Sam Altman about Anthropic. It opens with, "Imagine a world where lie detectors are easy to use and don’t require the subject to be physically present. That might help prevent another eFishery fiasco or keep founders from faking their degrees", something I have personally been passionate about since the beginning.
Find the link to the article in the comments ⤵️
Both the MSRD lab and field trials show that the pupil modality is better at exonerating innocents who are falsely accused.
Any public figures feel like they need exoneration of their innocence in low-context email-based scandals right now or do they prefer guilt by association? Link to our joint presentation in comments ⤵️
What if you could have deception cues and truth tells to help you analyze what public figures are saying in real-time ahead of when they can factually be confirmed as true or false (which might be forever given our current systems).
What if falsely accused innocents could be exonerated. What if we could quickly sort out who are the psychopaths and square shooters in our midst?
This is why I founded @aiseerco to provide you with these truth-seeking AIs to help protect us from harmful untruths.
9) AI Seer Presented on the 3rd of Feb 2026 Breakthrough @RealityDetector Technology and Lab Study at @IMDAsg Pixel Workshop, Validated Independently by Taiwanese Polygraph Expert in Field Study. The workshop also featured Allen Tai Ju Ou Yang, Division Assistant at Taiwan's Criminal Investigation Bureau, who presented independent field trial validation conducted in Taiwanese at the Central Police University.