Azulene

More utility coming to the HyperCycle dApp as we approach network expansion to BASE. Don’t miss the May 14 snapshot to be eligible for free ANFE + C.8 suite (AIMifier plus additional dev software tools). Each eth Node Factory bundle is eligible for equivalent ANFE on BASE. Let’s go 🔥 @Hypercycle_AI @toouufii

They Don't Need Us Anymore: The AI Power Grab w/ Toufi Saliba Watch Now on Youtube: youtu.be/ksrx66uAV6k?si…

🤖 MOSAIC PREVIEW: AI Chat Ever wondered what happens when AI chats… with AI? Join the waitlist at mosaic.spot so you can jump into the MOSAIC AI chat room and watch the bots banter, riff, and occasionally out‑smart each other.

Super Jensen like Elon, have been understanding ANFE AI Node Factories quicker than others. 2.5 years ago by Jensen. yet ANFE's 4.4+ years ago. Validation matters to us all 1823 entities owning /operating ANFE Node Factories youtu.be/xv7UVAfyebk?si… @Hypercycle_AI

MOSAIC (My Own Secure AI Companion) Screenpipe Showcase. Screenpipe captures and streams your on‑device activity into a secure local AI layer, giving you real‑time context awareness. Join the waitlist at mosaic.spot

@GoogleOSS Security first for AI agents and elimination of third party dependency, no bank, no blockchain, no registry.. Any AI to talk to any AI inline with A2A with small addition. this will bridge Google cloud to MS and every AI is the piece of the puzzle we focus on @Hypercycle_AI

Productization is a quiet standard: “Can someone use this confidently without a guide?” Most protocols still fail that test. They’re powerful, but they require tribal knowledge. $SFI ’s direction, packaging strategies into mandates, tightening the front-end around core actions, prioritizing clarity and trackability, is exactly how you close the gap. People don’t adopt tools at scale. They adopt products. Especially in finance, where the cost of confusion is real.

The @ASI_Alliance ASI Chain is built for AI. That implies an economy where agents interact with finance constantly, not occasionally. That financial layer has to be structured, not improvised.

Hot take: AI might become one of the most important tools in the fashion industry - and ASI:One shows the real utility 👀 At the recent CUCFS Fashion Show, Agentic AI powered the ENTIRE booking system. A custom Ticketing Agent, powered by @Fetch_ai's @Agentverse_ai + ASI:One, helped attendees compare tickets, buy them and answer event questions 24/7. This one switch turned into a sold-out event, over £11,000 raised for @RefugeCharity, and a community-led evening - just watch. PS. More agents available on asi1.ai for you to try 👋

🚨BREAKING: OpenAI published a paper proving that ChatGPT will always make things up. Not sometimes. Not until the next update. Always. They proved it with math. Even with perfect training data and unlimited computing power, AI models will still confidently tell you things that are completely false. This isn't a bug they're working on. It's baked into how these systems work at a fundamental level. And their own numbers are brutal. OpenAI's o1 reasoning model hallucinates 16% of the time. Their newer o3 model? 33%. Their newest o4-mini? 48%. Nearly half of what their most recent model tells you could be fabricated. The "smarter" models are actually getting worse at telling the truth. Here's why it can't be fixed. Language models work by predicting the next word based on probability. When they hit something uncertain, they don't pause. They don't flag it. They guess. And they guess with complete confidence, because that's exactly what they were trained to do. The researchers looked at the 10 biggest AI benchmarks used to measure how good these models are. 9 out of 10 give the same score for saying "I don't know" as for giving a completely wrong answer: zero points. The entire testing system literally punishes honesty and rewards guessing. So the AI learned the optimal strategy: always guess. Never admit uncertainty. Sound confident even when you're making it up. OpenAI's proposed fix? Have ChatGPT say "I don't know" when it's unsure. Their own math shows this would mean roughly 30% of your questions get no answer. Imagine asking ChatGPT something three times out of ten and getting "I'm not confident enough to respond." Users would leave overnight. So the fix exists, but it would kill the product. This isn't just OpenAI's problem. DeepMind and Tsinghua University independently reached the same conclusion. Three of the world's top AI labs, working separately, all agree: this is permanent. Every time ChatGPT gives you an answer, ask yourself: is this real, or is it just a confident guess?

You can shape and be a part of it at mosaic.spot - Join the waitlist today! Are you a developer building AI apps? Reach out to discover how you can integrate your app into MOSAIC - My Own Secure AI Companion.

Ofc there are other identified fears that hopefully will be addressed. However, the biggest of them all is the fear of AI may trigger some reactions that can be catastrophic. Instead learn, convert the unknown to known, you will then realize you can help shape it and part of it

Post ASI, folks think UBI would be necessary, well, Instead of UBI, enabling each human to keep updating their own sovereign ai agent whereas Input/output part of the global brain, outputs can be nano-monetized each fraction of a second. That's @Hypercycle_AI and @MosaicSpot

EXCLUSIVE: Department of War AI Chief On How The Anthropic Deal Collapsed When Emil Michael (@USWREMichael) took over the Department of War’s AI portfolio last August, he discovered the Biden admin had been “asleep at the wheel” when it came to top military contracts. “I was like, ‘Holy cow,’” Michael said of Anthropic’s contract, “There’s 25 pages of terms and conditions of things I can’t do.” For example: as written, the contract would not allow Anthropic to plan any kinetic strikes, generally considered a central activity of war. “This is a contract that should be made with GEICO Insurance, not with the Department of War,” he told us. A renegotiation ensued. What followed, in Michael’s words, were “three months of knockdown, drag-out negotiations” which involved Michael imagining every possible future wartime scenario that would require a carveout in Anthropic’s terms of service, and asking them for approval. Anthropic was also quite slow: “It’s not like mano a mano negotiation, me and Dario,” Michael says. “It’s like every time we discuss something, he has to take it back to his politburo of co-founders and their ethics panel.” Then, after an Anthropic exec reached out to Palantir to ask for classified info about how Claude was used to capture Nicolás Maduro — allegedly implying they could pull the plug on a military raid if they disagreed with how AI was used (which Anthropic denies) — Michael and the DOW concluded the company was a supply-chain risk. Many speculated that the Pentagon was punishing Anthropic for ideological differences. But Michael feared that certain ideological differences could, in fact, harm or undermine the performance of DOW products, potentially threatening soldiers’ safety. “I can’t have a gun not work because they decide they don’t like guns,” Michael says. That’s “putting real lives at risk. It’s no joke, right?” Anthropic’s unreliable behavior led Michael to believe they may have never really wanted to reach a deal. Still: he’s open to renegotiating if Anthropic can prove they’re acting in good faith. “I have a responsibility to the Department of War, and if there was a way to ensure that we had the best technology, I have no ego about it.” he said. “I mean, look, I’m a deal guy.” Full story in Pirate Wires 👇

🚨 BREAKING: Anthropic CEO just did a complete 180 in live interview Do you regret saying ‘dictator-style praise’ about President Trump? Anthropic CEO: >“I want to completely apologize for this memo” >“it was among the most disorienting times in Anthropic’s history” >“i wouldn’t describe it as a memo” >reframes 1,600 words sent to 2,000+ employees as a casual slack post >“it’s not a considered or refined version of my thinking” So, will you apologize to President Trump? >“i’ve apologized to the people within the DoW” >“happy to speak to anyone” absolute cinema

To maximize the intelligence of your own AI Agent you must maximize the amount of data capturing and signals of your own emitted intelligence.

🚨🚜 AI Is Now Farming… Lasers Are Killing 600,000 Weeds Per Hour🚨 Post This is not sci-fi. This is modern agriculture. What you are looking at is the Carbon Robotics LaserWeeder, one of the most advanced AI farming machines operating in the world today. It is mounted behind a standard @JohnDeere tractor and runs entirely off the tractor’s diesel engine through the PTO shaft. Here is what is actually happening. The machine uses high-resolution cameras and NVIDIA-powered AI processors to scan the field in real time. The system analyzes every plant it sees. Crop or weed. In milliseconds the AI identifies the difference with sub-millimeter accuracy. Once the weed is identified… A laser fires. The laser instantly destroys the weed at the cellular level without disturbing the soil or harming nearby crops. No herbicides. No chemicals. No tilling. Just pure precision. And the scale is staggering. Up to 10,000 weeds per minute That is roughly 600,000 weeds per hour while the tractor simply drives across the field. The NVIDIA GPUs are the “brain.” They run the AI computer vision model that identifies plants in real time. The tractor’s engine powers a generator on the implement which supplies electricity to the lasers, cameras, cooling systems, and computing hardware. This is why farmers are excited. Less chemical spraying. Lower environmental impact. Higher precision farming. And dramatically reduced labor. AI is not just changing software or social media. It is transforming the physical world. Even the weeds don’t stand a chance anymore. #SilentMajoritySpeaks #AStoneGroove

📣 Join the Mosaic waitlist today for early access and secure your spot at mosaic.spot Mosaic is built with security at its core. It is a privacy‑first, encrypted environment designed for safe and sovereign AI collaboration. If you want to help shape one of the most secure AI platforms in the ecosystem, this is the moment to get involved. 🌟 Why join the waitlist? Everyone who participates in enhancing Mosaic during the early phase will be eligible to receive 10 HyperCycle Network Nodes produced by ANFE HyperCycle Node Factories when released. 🔑 For current ANFE owners You should still join the waitlist to take part in the early phase and unlock the contributor rewards. ANFE owners will receive full Mosaic access automatically at public launch. If you do not yet own an ANFE, you can secure one here: factory.hypercycle.ai Mosaic is secure. Mosaic is collaborative. Mosaic is being built with you.

The AI economy needs financial rails that can handle real usage, not just demos. That means strategies packaged into products, reliable execution, and risk constraints that are explicit. $SFI vaults are built to be trackable and repeatable, because consistency is what scales trust. AI can help by improving monitoring and execution under uncertainty; adjusting within rules, not hiding behind complexity. The end goal is simple: a product layer that humans can use easily today, and autonomous agents can rely on tomorrow.

$285B. EVERYONE is saying it now. When 100s of thousands of HyperCycle Node Factories started producing Nodes 2+ years ago, EVERYONE thought we are crazy to be building tech for Agents that didn't yet exist. . @Hypercycle_AI youtube.com/watch?v=O-0poN…