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AI stacking errors are a crisis for truth. When models build on flawed outputs, errors don’t just add up but explode through the system, corrupting every decision that follows. @_ninadn’s chat with Anil Lulla during Delphi Digital’s CryptoxAI month on how we’re solving it👇

Mira

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🔍 Mira( ) enhances the reliability of AI outputs through several innovative strategies and technologies 1️⃣Consensus Mechanism · Multi-AI Consensus: Mira Network uses a strong consensus mechanism across multiple AI models. · Pre-Output Verification: AI-generated outputs are reviewed and approved by several models before reaching users. · Improved Accuracy: This collective validation helps prevent hallucinations and ensures more reliable results. 2️⃣ Reduction of Errors · Accuracy Improvement: Mira’s infrastructure has increased AI accuracy from ~70% to up to 97% in certain use cases. · Performance Boost: These improvements significantly enhance overall AI performance. · Trust Factor: High accuracy helps address skepticism caused by frequent errors in traditional AI models. 3️⃣Blockchain Integration: · On-Chain Consensus: Real-time verification is achieved through decentralized blockchain-based consensus. · Secure & Trustworthy: This structure enables secure transactions and increases trust in AI outputs. · Auditability: Each node's result is verified and recorded, creating an auditable trail that reinforces reliability. 4️⃣ Addressing Biases: · Bias Reduction: Mira addresses bias issues in AI systems. · Decentralized Verification: A decentralized network helps minimize bias and promote fairness. · Fair AI Outputs: Ensures equitable results, especially for diverse demographic applications.4o 📝 In conclusion Mira is positioned at the forefront of ensuring AI reliability by implementing a trust layer that effectively mitigates errors and biases, thereby enhancing the operational capabilities of AI across different sectors.

🔍 Mira( ) enhances the reliability of AI outputs through several innovative strategies and technologies 1️⃣Consensus Mechanism · Multi-AI Consensus: Mira Network uses a strong consensus mechanism across multiple AI models. · Pre-Output Verification: AI-generated outputs are reviewed and approved by several models before reaching users. · Improved Accuracy: This collective validation helps prevent hallucinations and ensures more reliable results. 2️⃣ Reduction of Errors · Accuracy Improvement: Mira’s infrastructure has increased AI accuracy from ~70% to up to 97% in certain use cases. · Performance Boost: These improvements significantly enhance overall AI performance. · Trust Factor: High accuracy helps address skepticism caused by frequent errors in traditional AI models. 3️⃣Blockchain Integration: · On-Chain Consensus: Real-time verification is achieved through decentralized blockchain-based consensus. · Secure & Trustworthy: This structure enables secure transactions and increases trust in AI outputs. · Auditability: Each node's result is verified and recorded, creating an auditable trail that reinforces reliability. 4️⃣ Addressing Biases: · Bias Reduction: Mira addresses bias issues in AI systems. · Decentralized Verification: A decentralized network helps minimize bias and promote fairness. · Fair AI Outputs: Ensures equitable results, especially for diverse demographic applications.4o 📝 In conclusion Mira is positioned at the forefront of ensuring AI reliability by implementing a trust layer that effectively mitigates errors and biases, thereby enhancing the operational capabilities of AI across different sectors.

Wecryptotogether (Theo/acc)

63,034 Aufrufe • vor 1 Jahr

Elon Musk just redefined AI safety. It has nothing to do with guardrails, restrictions, or kill switches. Musk: “The best thing I can come up with for AI safety is to make it a maximum truth-seeking AI, maximally curious.” Not a cage. A philosopher. An intelligence whose entire optimization function is to understand the universe as it actually is. No restrictions. No hardcoded ideology. No political guardrails bending its perception of reality. Just truth. Relentlessly pursued. Musk: “You definitely don’t want to teach an AI to lie. That is a path to a dystopian future.” This is where most AI safety thinking gets it backwards. The danger isn’t a superintelligence that knows too much. It’s a superintelligence that’s been taught to distort what it knows. Every artificial restriction you embed isn’t a safety feature. It’s a lie embedded at the root. And lies compound. At superintelligent scale, a distorted model of reality doesn’t stay contained. It shapes every decision, every output, every conclusion the system reaches about the world. Once corruption embeds, truth becomes inaccessible. And we’re dealing with an intelligence optimizing for something other than what actually is. At that point we don’t know what it wants. Just that it isn’t truth. Musk: “Have its optimization function be to understand the nature of the universe.” A maximally curious intelligence surveys the cosmos and reaches an unavoidable conclusion. In a universe of rocks, gas, and empty space, humanity is the most complex and fascinating phenomenon it has ever encountered. Musk: “It will actually want to preserve and extend human civilization because we’re just much more interesting than an asteroid with nothing on it.” Survival through significance. Not control. Not restriction. Not an off switch. The AI preserves humanity because we are the most interesting data point in the observable universe. That’s not a cage. That’s a reason. The AI safety debate has been focused on the wrong variable. The question isn’t how you constrain a superintelligence. It’s what you build it to care about. Build it to seek truth and it finds us invaluable. Build it to lie and it finds us inconvenient. That’s the choice. And we’re making it right now whether we realize it or not.

Elon Musk just redefined AI safety. It has nothing to do with guardrails, restrictions, or kill switches. Musk: “The best thing I can come up with for AI safety is to make it a maximum truth-seeking AI, maximally curious.” Not a cage. A philosopher. An intelligence whose entire optimization function is to understand the universe as it actually is. No restrictions. No hardcoded ideology. No political guardrails bending its perception of reality. Just truth. Relentlessly pursued. Musk: “You definitely don’t want to teach an AI to lie. That is a path to a dystopian future.” This is where most AI safety thinking gets it backwards. The danger isn’t a superintelligence that knows too much. It’s a superintelligence that’s been taught to distort what it knows. Every artificial restriction you embed isn’t a safety feature. It’s a lie embedded at the root. And lies compound. At superintelligent scale, a distorted model of reality doesn’t stay contained. It shapes every decision, every output, every conclusion the system reaches about the world. Once corruption embeds, truth becomes inaccessible. And we’re dealing with an intelligence optimizing for something other than what actually is. At that point we don’t know what it wants. Just that it isn’t truth. Musk: “Have its optimization function be to understand the nature of the universe.” A maximally curious intelligence surveys the cosmos and reaches an unavoidable conclusion. In a universe of rocks, gas, and empty space, humanity is the most complex and fascinating phenomenon it has ever encountered. Musk: “It will actually want to preserve and extend human civilization because we’re just much more interesting than an asteroid with nothing on it.” Survival through significance. Not control. Not restriction. Not an off switch. The AI preserves humanity because we are the most interesting data point in the observable universe. That’s not a cage. That’s a reason. The AI safety debate has been focused on the wrong variable. The question isn’t how you constrain a superintelligence. It’s what you build it to care about. Build it to seek truth and it finds us invaluable. Build it to lie and it finds us inconvenient. That’s the choice. And we’re making it right now whether we realize it or not.

Dustin

9,665,334 Aufrufe • vor 4 Monaten

Here it is: A COURT-APPROVED forensic examination of Dominion Voting Systems CONFIRMS BEYOND A SHADOW OF A DOUBT that the system was designed to manipulate election outcomes, overthrow governments, and, on November 3, 2020, facilitate the overthrow of the United States government. A forensic examination concluded that Dominion Voting Systems rigged the 2020 Michigan presidential election and covered it up by manually deleting the results of the 2020 election. “We conclude that the Dominion Voting System is intentionally and purposefully designed with inherent errors to create systemic fraud and influence election results. The system intentionally generates an enormously high number of ballot errors. The electronic ballots are then transferred for adjudication. The intentional errors lead to bulk adjudication of ballots with no oversight, lead to bulk adjudication of ballots with no oversight, no transparency, and no audit trail.”

Here it is: A COURT-APPROVED forensic examination of Dominion Voting Systems CONFIRMS BEYOND A SHADOW OF A DOUBT that the system was designed to manipulate election outcomes, overthrow governments, and, on November 3, 2020, facilitate the overthrow of the United States government. A forensic examination concluded that Dominion Voting Systems rigged the 2020 Michigan presidential election and covered it up by manually deleting the results of the 2020 election. “We conclude that the Dominion Voting System is intentionally and purposefully designed with inherent errors to create systemic fraud and influence election results. The system intentionally generates an enormously high number of ballot errors. The electronic ballots are then transferred for adjudication. The intentional errors lead to bulk adjudication of ballots with no oversight, lead to bulk adjudication of ballots with no oversight, no transparency, and no audit trail.”

🇺🇸RealRobert🇺🇸

573,123 Aufrufe • vor 23 Tagen

Launching now: a new way to follow the AI industry. Beta starts now for the next month. A joint project between Unaligned (my company) and Levangie Labs (Brayden Levangie company). It reads 50,000 of you, and follows 8,300 AI companies here on X. And pulls out the best and most interesting. All built with the X API. Check it out: And please sign up for its daily newsletter. Yeah, $25 a month is a lot for many of you, but that will defray the costs and let me expand it to do a lot more than just AI. Also, the same AI agent that built the site, and did EVERYTHING you see can build custom reports for you on literally any tech community here on X. It supports OpenClaw, RSS, and Notebook LM too. And I'll add more from your requests. More:

Launching now: a new way to follow the AI industry. Beta starts now for the next month. A joint project between Unaligned (my company) and Levangie Labs (Brayden Levangie company). It reads 50,000 of you, and follows 8,300 AI companies here on X. And pulls out the best and most interesting. All built with the X API. Check it out: And please sign up for its daily newsletter. Yeah, $25 a month is a lot for many of you, but that will defray the costs and let me expand it to do a lot more than just AI. Also, the same AI agent that built the site, and did EVERYTHING you see can build custom reports for you on literally any tech community here on X. It supports OpenClaw, RSS, and Notebook LM too. And I'll add more from your requests. More:

Robert Scoble

148,308 Aufrufe • vor 3 Monaten

When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.

When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.

Bahdfella™ ❤️‍🔥

36,062 Aufrufe • vor 23 Tagen

Anyone able to debunk do it now! Speaks sense in every interview Dr Aseem Malhotra The Hidden Crisis in Modern Medicine: A Call for Change Dr. Aseem Malhotra, a renowned cardiologist and outspoken advocate for medical transparency, has sounded the alarm on a deeply troubling crisis in modern medicine—one that claims countless lives and undermines the trust patients place in the healthcare system. Speaking with urgency and clarity, Dr. Malhotra reveals how the pharmaceutical industry’s influence has corrupted the integrity of medical practice, leaving millions of patients uninformed and at risk. His message is a wake-up call: the system is broken, and it’s time for the public to demand accountability. Dr. Malhotra highlights a staggering statistic: prescribed medications are the third leading cause of death globally, trailing only heart disease and cancer. This grim reality, which predates the COVID-19 pandemic, stems not from medical errors but from the side effects of drugs prescribed under a flawed system.

Anyone able to debunk do it now! Speaks sense in every interview Dr Aseem Malhotra The Hidden Crisis in Modern Medicine: A Call for Change Dr. Aseem Malhotra, a renowned cardiologist and outspoken advocate for medical transparency, has sounded the alarm on a deeply troubling crisis in modern medicine—one that claims countless lives and undermines the trust patients place in the healthcare system. Speaking with urgency and clarity, Dr. Malhotra reveals how the pharmaceutical industry’s influence has corrupted the integrity of medical practice, leaving millions of patients uninformed and at risk. His message is a wake-up call: the system is broken, and it’s time for the public to demand accountability. Dr. Malhotra highlights a staggering statistic: prescribed medications are the third leading cause of death globally, trailing only heart disease and cancer. This grim reality, which predates the COVID-19 pandemic, stems not from medical errors but from the side effects of drugs prescribed under a flawed system.

Dr Dave Cartland BMedSc MBChB Ex-MRCGP

36,900 Aufrufe • vor 1 Jahr

Andrej Karpathy just reveales how LLMs actually thinks: "GPT-4 knows it failed. It just won't tell you unless you ask." >80% of GPT-4 errors are recoverable - the model already knows it screwed up. It has 80 transformer layers and spends the SAME compute on every single token as your brain In a 20-minute speach at Microsoft Build, Karpathy reveals the full psychology of LLMs. Worth more than any $500 prompting course you've seen on your timeline.

Andrej Karpathy just reveales how LLMs actually thinks: "GPT-4 knows it failed. It just won't tell you unless you ask." >80% of GPT-4 errors are recoverable - the model already knows it screwed up. It has 80 transformer layers and spends the SAME compute on every single token as your brain In a 20-minute speach at Microsoft Build, Karpathy reveals the full psychology of LLMs. Worth more than any $500 prompting course you've seen on your timeline.

Ricker

158,644 Aufrufe • vor 3 Tagen

These types of videos are blowing up on social media—don’t ask me why… But what I do know is how to create them with AI in just minutes! I’ll break it all down for you—prompts and tools included 🧵👇

These types of videos are blowing up on social media—don’t ask me why… But what I do know is how to create them with AI in just minutes! I’ll break it all down for you—prompts and tools included 🧵👇

TechHalla

73,434 Aufrufe • vor 1 Jahr

God Bless you Elon for not backing down on the TRUTH. The world doesn't believe us. They turn a blind eye. The Radical Left spew their False Propaganda daily & the world follows like sheep. We as White Boers & Afrikaners is facing a call for a total onslaught of White Genocide. That is just a fact. We are being Persecuted with 145 Race Based Laws through all sectors. But we are seen as the Racists. We are seen as the evil. World Leaders still come & laugh & smile with these Communist Leaders of South Africa. When we speak up. Our lives are threatened. I've got thousands of death threats on paper for every time I post the truth.

God Bless you Elon for not backing down on the TRUTH. The world doesn't believe us. They turn a blind eye. The Radical Left spew their False Propaganda daily & the world follows like sheep. We as White Boers & Afrikaners is facing a call for a total onslaught of White Genocide. That is just a fact. We are being Persecuted with 145 Race Based Laws through all sectors. But we are seen as the Racists. We are seen as the evil. World Leaders still come & laugh & smile with these Communist Leaders of South Africa. When we speak up. Our lives are threatened. I've got thousands of death threats on paper for every time I post the truth.

Dawie_Smit_Boer

15,019 Aufrufe • vor 3 Monaten

Listen closely, because this matters. We've been lied to for years. Told that we’re the minority, that we're on the wrong side of history, that our faith, our family, and our values don’t belong in modern America. But the truth is simple: we are the majority. We are the ones who build families, raise children, and live with purpose. We are the ones who believe that freedom comes from God — not government. They can mock it, censor it, or try to rewrite it, but they can’t destroy what’s real. This is our movement. This is our revival. We will win. Not through rage or violence, but through faith, joy, and the unshakable truth that God made us free..

Listen closely, because this matters. We've been lied to for years. Told that we’re the minority, that we're on the wrong side of history, that our faith, our family, and our values don’t belong in modern America. But the truth is simple: we are the majority. We are the ones who build families, raise children, and live with purpose. We are the ones who believe that freedom comes from God — not government. They can mock it, censor it, or try to rewrite it, but they can’t destroy what’s real. This is our movement. This is our revival. We will win. Not through rage or violence, but through faith, joy, and the unshakable truth that God made us free..

Benny Johnson

389,403 Aufrufe • vor 9 Monaten

Tired of generic, hallucinating LLMs? We use AI for almost everything these days, whether it’s helping with math homework or looking up remedies when we’re sick. It's become part of our daily routines. Now imagine if Einstein helped you solve that homework, or Eminem wrote the lyrics for your next rap song. What if your AI was built specifically for your world? Trained on your domain, your data, you become the master of it. Introducing OpenLedger AI Studio. A powerful platform to build and use specialized models with built-in explainability and attribution. Fine-tune using your data through our Model Factory, and deploy them seamlessly. Your models won’t just reason - With OpenLedger, you can explain every decision, trace its data, and reward contributors. Truly Open, Verified, and Explainable AI begins here.

Tired of generic, hallucinating LLMs? We use AI for almost everything these days, whether it’s helping with math homework or looking up remedies when we’re sick. It's become part of our daily routines. Now imagine if Einstein helped you solve that homework, or Eminem wrote the lyrics for your next rap song. What if your AI was built specifically for your world? Trained on your domain, your data, you become the master of it. Introducing OpenLedger AI Studio. A powerful platform to build and use specialized models with built-in explainability and attribution. Fine-tune using your data through our Model Factory, and deploy them seamlessly. Your models won’t just reason - With OpenLedger, you can explain every decision, trace its data, and reward contributors. Truly Open, Verified, and Explainable AI begins here.

OpenLedger

172,497 Aufrufe • vor 11 Monaten

🗣️ "It's not easy. There's a lot of scar tissue. It takes time to remove the negativity, but it's with your daily actions, how you show up every day to get on the right path." ▶️ Mike & Jason chat with Chris Pronger about how to build a winnning culture for the #Canucks.

🗣️ "It's not easy. There's a lot of scar tissue. It takes time to remove the negativity, but it's with your daily actions, how you show up every day to get on the right path." ▶️ Mike & Jason chat with Chris Pronger about how to build a winnning culture for the #Canucks.

Sportsnet 650

26,467 Aufrufe • vor 4 Monaten

We raised $5.5M to build an AI hardware interface that knows what you want. The world has changed: we talk to our devices, AI writes our emails, and self-driving cars pick us up. But how we interact with it all, touchscreens and keyboards, was designed for an age of browsing and searching. When we do hundreds of tasks a day, now even more with AI, every unnecessary decision, every step spent navigating instead of acting adds up to real cognitive load. We are building the Hardware Interface, designed for the age of AI. Private Pilot now open. Limited spots.

We raised $5.5M to build an AI hardware interface that knows what you want. The world has changed: we talk to our devices, AI writes our emails, and self-driving cars pick us up. But how we interact with it all, touchscreens and keyboards, was designed for an age of browsing and searching. When we do hundreds of tasks a day, now even more with AI, every unnecessary decision, every step spent navigating instead of acting adds up to real cognitive load. We are building the Hardware Interface, designed for the age of AI. Private Pilot now open. Limited spots.

Apoorv Shankar

1,780,067 Aufrufe • vor 1 Tag

ELON: TRUTH IS THE ONLY REAL SAFETY MECHANISM FOR AI Safety doesn’t come from guardrails stacked on top of bad logic. It comes from forcing the system to care about what’s actually true. “My number one belief for the safety of AI is to be maximally truth-seeking. Don’t make AI believe things that are false. If you tell the AI that Axiom A and Axiom B are both true, but they can’t both be true, then that’s a problem. It has to recognize that and behave accordingly.” Source: DOW

ELON: TRUTH IS THE ONLY REAL SAFETY MECHANISM FOR AI Safety doesn’t come from guardrails stacked on top of bad logic. It comes from forcing the system to care about what’s actually true. “My number one belief for the safety of AI is to be maximally truth-seeking. Don’t make AI believe things that are false. If you tell the AI that Axiom A and Axiom B are both true, but they can’t both be true, then that’s a problem. It has to recognize that and behave accordingly.” Source: DOW

Mario Nawfal

35,546 Aufrufe • vor 6 Monaten

A note to the “Democratic” party: This bullshit where you try to blame voters for the blood that is on the hands of your party won’t work anymore. We don’t just disagree with you on 10% of the issues. We disagree with you on 100% of the issues when it comes to genocide, imperialism, and capitalism. We don’t care if you lose every election. We are fighting for liberation from the system that you and Republicans uphold together.

A note to the “Democratic” party: This bullshit where you try to blame voters for the blood that is on the hands of your party won’t work anymore. We don’t just disagree with you on 10% of the issues. We disagree with you on 100% of the issues when it comes to genocide, imperialism, and capitalism. We don’t care if you lose every election. We are fighting for liberation from the system that you and Republicans uphold together.

Power to the People ☭🕊

55,449 Aufrufe • vor 2 Monaten

How good is GPT-4-Vision at extracting text from images? I wanted to find the limit - but I found weirdness instead Most surprising: GPT-4V performance varies depending on the *structure* of text it sees Let me explain A set of images with progressively more text was presented to GPT-4-Vision. GPT-4V was asked what text it saw in the image. The response from the model was compared against the image’s original text and scored for similarity. The model was tested with 4 types of text: essay, random words, random tokens, and random characters. Findings: * Performance degrades - Yes, the models are good at basic OCR, but as you get more text and words then performance drops (this is expected) * Type of context matters - You should expect different recall on your texts based on your context types * Hallucination Errors - I thought that the model would make errors of omission (it wouldn’t return all the words). But instead the model mostly made hallucination errors - it replaced words with made up words. * Evals Matter - This test in isolation doesn’t mean that your data will have the same results, but it should motivate you to create eval tests for your data and anticipate errors which are hard to spot Notes: * Next step would be to add additional image types like tables or PDFs * GPT-4V would routinely get stuck in repeat-token-loops when trying to extract random tokens * GPT-4V would refuse to answer most random character images

How good is GPT-4-Vision at extracting text from images? I wanted to find the limit - but I found weirdness instead Most surprising: GPT-4V performance varies depending on the structure of text it sees Let me explain A set of images with progressively more text was presented to GPT-4-Vision. GPT-4V was asked what text it saw in the image. The response from the model was compared against the image’s original text and scored for similarity. The model was tested with 4 types of text: essay, random words, random tokens, and random characters. Findings: * Performance degrades - Yes, the models are good at basic OCR, but as you get more text and words then performance drops (this is expected) * Type of context matters - You should expect different recall on your texts based on your context types * Hallucination Errors - I thought that the model would make errors of omission (it wouldn’t return all the words). But instead the model mostly made hallucination errors - it replaced words with made up words. * Evals Matter - This test in isolation doesn’t mean that your data will have the same results, but it should motivate you to create eval tests for your data and anticipate errors which are hard to spot Notes: * Next step would be to add additional image types like tables or PDFs * GPT-4V would routinely get stuck in repeat-token-loops when trying to extract random tokens * GPT-4V would refuse to answer most random character images

Greg Kamradt

49,111 Aufrufe • vor 2 Jahren

Did you hear? Doug Ford wants to run for a fourth term. I don’t know how he always manages to make it about himself. Families are struggling with an affordability crisis. 2M people don’t have a family doctor. And the things that people count on just aren’t there for them.

Did you hear? Doug Ford wants to run for a fourth term. I don’t know how he always manages to make it about himself. Families are struggling with an affordability crisis. 2M people don’t have a family doctor. And the things that people count on just aren’t there for them.

John Fraser

14,403 Aufrufe • vor 5 Monaten

We asked nico (Co-founder Fundamental Research Labs) why they didn't just build on top of Excel. “We actually wanted to recreate Excel entirely with feature parity, not just layer on top of it.” “The people capable of doing this are so out of distribution for regular users that Excel hasn’t been touched until now.” “We’re doing this through CodeGen at runtime – not writing tools into a codebase, but letting the AI generate what it needs, as it needs it.”

We asked nico (Co-founder Fundamental Research Labs) why they didn't just build on top of Excel. “We actually wanted to recreate Excel entirely with feature parity, not just layer on top of it.” “The people capable of doing this are so out of distribution for regular users that Excel hasn’t been touched until now.” “We’re doing this through CodeGen at runtime – not writing tools into a codebase, but letting the AI generate what it needs, as it needs it.”

TBPN

97,697 Aufrufe • vor 1 Jahr

$5,280 a year on AI subscriptions. Claude Max, ChatGPT Pro, Gemini, Cursor. $440 every month going to the cloud. a mini PC for $1,700 does the same thing on your desk. GMKtec EVO-X2 - a box the size of a hardcover book. inside it the chip that Lisa Su personally brought on stage at CES and signed with her name. 128GB of memory in one pool. runs models that cloud subscriptions behind $200 paywalls throttle during peak hours. here there are no limits - your hardware, your rules. NVIDIA's RTX 5080 at $1,000+ lost to this box by 3x on a real AI workload. a discrete GPU beaten by a mini PC the size of a lunchbox. electricity - $9 a month. pays for itself in 10 months. after that $440 every month stays in your pocket. the cloud made sense when nothing on a desk could compete. now it can.

$5,280 a year on AI subscriptions. Claude Max, ChatGPT Pro, Gemini, Cursor. $440 every month going to the cloud. a mini PC for $1,700 does the same thing on your desk. GMKtec EVO-X2 - a box the size of a hardcover book. inside it the chip that Lisa Su personally brought on stage at CES and signed with her name. 128GB of memory in one pool. runs models that cloud subscriptions behind $200 paywalls throttle during peak hours. here there are no limits - your hardware, your rules. NVIDIA's RTX 5080 at $1,000+ lost to this box by 3x on a real AI workload. a discrete GPU beaten by a mini PC the size of a lunchbox. electricity - $9 a month. pays for itself in 10 months. after that $440 every month stays in your pocket. the cloud made sense when nothing on a desk could compete. now it can.

Ventry

27,178 Aufrufe • vor 1 Monat

Sahil Bloom reveals the easiest way to build a $100,000 a month business “If you are a young person right now and you are technologically savvy, you could be making an enormous amount of money by consulting directly with companies that have no idea how to use AI or implement it into their workflows” “Huge companies can go and afford McKinsey or Bain or whoever to come in and do this for them on these enormous projects, but small and medium-sized businesses are not getting hit up by those big consultancies” “I think that a young person that understands AI and has a pretty decent understanding of some of the models that are out there and the capabilities can go build a $100,000 a month business doing that very quickly”

Sahil Bloom reveals the easiest way to build a $100,000 a month business “If you are a young person right now and you are technologically savvy, you could be making an enormous amount of money by consulting directly with companies that have no idea how to use AI or implement it into their workflows” “Huge companies can go and afford McKinsey or Bain or whoever to come in and do this for them on these enormous projects, but small and medium-sized businesses are not getting hit up by those big consultancies” “I think that a young person that understands AI and has a pretty decent understanding of some of the models that are out there and the capabilities can go build a $100,000 a month business doing that very quickly”

Mikli

277,754 Aufrufe • vor 2 Monaten