GPT-5.6 made this intro-vid for me: > based in... NC > classically educated > cto, founder > was on bbc > creator of the fake leaving openai meme > pareto enjoyer > anti-doomer and anti-utopian > capitalist, conservative (but thinks tariffs are a bad idea and banning fable is overreach) > 18 y/o > christian, crec > professional ai nerd bullish on OpenAI, Anthropic, AI in general, and especially AI memes will be poasting whatever I want, but mostly just AI stuffshow more

most of the top holders of $goblin keep buying... every single day soon the sellers will be out and it will be up only i haven’t seen a group of bullish top holders like this for a very long time we all know what we hold i roundtripped 200k in profit on $goblin to a 60k loss and would to it again because i believe so much in this coin and think its THE ONE most bullish AI narrative we have ever seen open ai mascot fully embraced by open ai ( with merch , stickers and daily posts) Chatgpt obsessed with Goblins Open ai devs obsessed with Goblins New model coming out with Goblin mode such an easy lay up for those who understand Truth terminals ( meme) went to billions and noone outside CT has never heard of that shit whats the ceiling for $goblin then? the meme created by the biggest AI ever…? named the mascot? GOBLIN ‘s website avatar was taken straight from the website and put on a OpenAI tshirt…. Billions, all you gotta do is wait.show more

> Anthropic reduced rate limits drastically > OpenAI got... gigantic investments to not face the same > Yesterday, Anthropic made new deals with Google > But new data centers won't be live till 2027 > Earth's resources are not ready to keep up with AI > Water is paramount here Only way to scale AI is actually through the space frontier, and one company already played 4D chess seeing what the future holds. This article will give you a new perspective on AI's future...show more

I’m incredibly proud to share that OpenAI chose Brex... to power their global spend and financial operations. When you're building at the frontier of AI and scaling global teams and infrastructure at an unprecedented pace like OpenAI is, Finance can't be the thing that slows you down. You need spend visibility the moment it happens, controls that enforce themselves, and agentic workflows that eliminate the manual work so your team stays focused on driving the business forward. We were so impressed by OpenAI’s rigor in evaluating every solution in the market, and whether they align to the agentic future OpenAI is building. Their decision to run on Brex is a huge testament to our AI roadmap and vision for the future of Finance. We started Brex around a simple idea: companies shouldn't have to choose between speed and control. There's no company in the world where that tradeoff matters more than OpenAI. We are honored to support them as they build the future. The best AI companies in the world, including OpenAI, Anthropic, Cursor, Vercel, Granola, Sierra, and Mercor choose Brex over every alternative for that exact reason. If you want to understand who’s truly building the future of AI in Finance, follow the customers you admire the most – not the hype.show more

OPENAI 🔥: Codex now supports Chrome DevTools Protocol for... browser use. This is a huge superpower that will allow Codex to inspect and modify any website. It is still a very early implementation, but I bet that in several years this will be a default browser capability. If websites are loaded through AI, users will be able to customize their UX on the fly. This is the way 👀show more

Why is the market selling off today? (Save this).... The semi selloff right now is being driven by a mix of macro fear, profit taking and investors questioning how quickly all of this AI spending will actually pay off, not because demand for AI infrastructure suddenly disappeared. The market is basically trading this chain reaction, the ongoing US Iran escalation pushes oil higher, higher oil keeps inflation elevated, sticky inflation keeps Treasury yields high and that increases the risk of the Fed staying hawkish or even hiking again. That is a terrible setup for semis because many of these companies are valued on the massive earnings investors expect them to generate years from now. When yields rise, those future earnings become worth less today which is why the highest multiple AI and semiconductor names usually get hit first. (I don't think there will be a hike this year). This is also why everything is moving together right now. Nvidia, Micron, Nebius, SanDisk, Broadcom and Applied Optoelectronics are all completely different businesses, but institutions are not separating memory, networking, optics, compute and cloud infrastructure at the moment. They are reducing exposure to the entire AI trade, taking profits in the names that have already run the most and moving into a more defensive position potentially ahead of the Fed. There is also growing pressure around hyperscaler capex. Microsoft, Meta, Amazon and Google are still spending enormous amounts on GPUs, data centers, networking and power but the market is starting to ask when all of that spending will actually turn into revenue and free cash flow. Investors are no longer satisfied with hearing that AI capex is growing. They want proof that the returns are arriving fast enough to justify the valuations already priced into the entire AI ecosystem. That creates a weird situation where hyperscaler capex can continue rising while semiconductor stocks still fall. The market is not asking whether AI spending is growing anymore but rather asking whether it is growing fast enough to beat the expectations already baked into these stocks. Crowded positioning is another major factor. Semis and AI infrastructure stocks have been some of the biggest winners in the market so institutions are sitting on huge profits and many funds own the exact same names. When macro risk increases, investors usually sell the most liquid winners first. That does not mean demand for memory, optics or custom chips suddenly collapsed but rather means investors are locking in gains and reducing risk. Tariffs add another layer because even when they are not directly placed on chips, they can still raise the cost of servers, electrical equipment, cooling systems, construction materials and the overall data center buildout. That makes AI infrastructure more expensive while also adding another source of inflation. Then you have Jensen Huang’s letter to the White House this morning about open weight AI models, which I think is one of the most important long term developments here. Nvidia, Meta, Microsoft, Palantir and several other companies are pushing Washington not to place broad restrictions on open weight AI. OpenAI and Anthropic were notably absent because open models are much more of a threat to their business models. OpenAI and Anthropic benefit from a world where a few closed frontier labs control the best models and companies have to pay them through subscriptions and APIs. Open weight models weaken that advantage because businesses can download a model, customize it for their own use and run it on their own infrastructure or through a neocloud. That is bad for OpenAI and Anthropic because it puts pressure on pricing, margins and the idea that they will control the intelligence layer of the economy but it is very good for the AI ecosystem as a whole over the long run. But the question is what does this mean for all the OpenAI and Anthropic commitments? so that's adding to the fear as well. But with that being said open models make AI cheaper and more accessible. Instead of AI being controlled by a few giant labs, thousands of startups, universities, governments and regular businesses can deploy models themselves. That spreads AI adoption across the entire economy and creates a much larger infrastructure opportunity and that is exactly why Jensen cares. Nvidia does not need OpenAI or Anthropic to win. Nvidia just needs more people using AI. Whether the model comes from OpenAI, Anthropic, Meta, Mistral, Kimi or some startup nobody has heard of yet, it still needs GPUs, memory, networking, data centers and electricity. So open weight AI could actually weaken the model companies while making the infrastructure layer much bigger. More open models mean more companies running inference. More inference means more GPUs. More GPUs mean more HBM, optical transceivers, switches, data centers and power. That is bullish for Nvidia Nebius, Micron, Broadcom , Marvell and Applied Optoelectronics over the long run. So my take is that the current semi selloff is being driven mostly by macro uncertainty, higher oil, rising yields, Fed fears, tariffs, crowded positioning and questions around the return on hyperscaler capex. The underlying AI infrastructure thesis has not suddenly broken. We are not broadly seeing hyperscalers cancel GPU orders, slash capex, abandon data center projects or report that AI demand has collapsed. What has changed is the valuation investors are willing to pay while the macro environment remains unstable. The market is lowering the price it is willing to pay for semiconductor growth but is not necessarily saying that growth is gone. And while Jensen’s open weight push may be bad for OpenAI and Anthropic, it could be one of the best things possible for the AI ecosystem over the long run because it creates more models, more developers, more competition and ultimately much more demand for the infrastructure underneath all of it. Nothing about the AI thesis has changed for me, so I will be going shopping and taking advantage of this sale while the market is selling everything together. I am an analyst at Milk Road Pro, and if you want to see exactly what I am buying, you can join for just $1 using the link below.show more

I'm seeing a lot of people saying it is... just a bad upscaling instead of Gen AI, but it is indeed Gen AI animation. There are things going on in it that just don't make any sense for puppet animation. Here are some parts that make it clear, I slowed down the video so it's easier to notice the chunky parts. I checked the past ADs and it's possible to notice details (from an animator's POV) that are common and make sense for human work, so it was definitely a choice to use AI on this new ADshow more

2023 was the year of AI avatars 2024 was... the year of AI photos 2025 was the year of AI videos And I think it's becoming clear now that 2026 will be the year of AI world models Fully interactive explorable 3d worlds generated from one or multiple 2d images or a prompt In turn these 2d images can then be generated by AI too So soon you can generate fully explorable virtual 3d worlds based on your own imagination Next will be figuring out how to make those worlds interactive This is World Labs (unaffiliated, but I like it) As always a lot of big AI model companies are now working on the same thing: 3d world models, only World Labs has a real properly working demo (for now) Very exciting time again!show more

Okay... this is actually insane. OpenCodex feels like the... open-source breakthrough I've been waiting for. The best part : You can plug multiple providers into the same OpenAI Codex harness and switch between models depending on the task. Running low on tokens? No problem. Use another provider. OpenRouter free model today? Plug it in. This completely changes how I think about AI coding workflows. And yes... it even works on mobile. OpenCodex might be one of the most useful open-source AI projects I've seen this year. OpenAI built an incredible harness. The open-source community just made it universal.show more

This is just one of the parts of my... secret sauce that makes up ⚡️ Hyper Realism on Photo AI and Interior AI Really high definition crispy details at up to 24 megapixels and very fast too and the most detailed upscaler out there now Kinda obvious but just going super high in resolution solves most of the problems of AI photos because every tiny detail (like a tiny hair on a skin) becomes a 640x480 block that can be generated by AI much more accurately than trying to do it as a few pixels It's made by my old AI dev philz1337x and for everyone to use at clarityai .co, I'm not affiliated but he's my friend and I use it!show more

SMRT x NVIDIA🤝 We are excited to announce we... have been enrolled into the NVIDIA Developer program! Included in this prestigious program is access to advanced tools and SDKs, training resources, early access programs and unlimited use of NVIDIA On-Demand Services. Additionally, the SmartMoney team will be attending the NVIDIA GTC AI Conference, networking with the top brains in AI development who will be in attendance, including Jensen Huang CEO of NVIDIA and Brad Lightcap COO of OpenAI . As a nascent AI Blockchain project, this partnership will be crucial as we scale and build out our platform and services, given NVIDIA's wealth of resources in the AI industry. Make sure to follow our twitter for more updates as we continue to partner with and learn from the strongest projects and firms in our field.show more

Organic anti-AI sentiment is dropping. It's pretty obvious. Even... some of the anti-datacenter narrative was boosted by Chinese bots and operatives. The remaining antis are a mix of bots and the usual chorus of unemployed artists who have the free time to continue to crash out on Twitter because their art was never good enough to compete with AI, nor were they intelligent enough to use AI as part of their workflow. For me, the reality is that I enjoy AI slop over all the woke slop that is astroturfed into modern entertainment. I don't care about garbled text or all the glitches... I just want to be entertained, and there is no better way to do it than self-directed entertainment. ... and here I'm just testing some long hair physics... yes, that's what I'm doing...show more

Visa just gave your AI a debit card. A... real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.show more

🚨 BREAKING: President Trump announces he will be appointing... a HIGH IQ "AI CZAR" and launches the "AI FORCE" Trump says we will UNLEASH AI and that the propaganda will fail All of this will be geared towards not only BUSTING anti-AI hoaxes but keeping America number one. LET'S GO! 🔥 "I am forming the AI Force, much like I did Space Force, which has been a tremendous SUCCESS, in my First Term. To that end, I will be announcing, in the near future, the AI “Czar” — Only High I.Q. individuals need apply! AI is the next Industrial Revolution, or Internet, but will be even larger and more impactful, possibly as much as 25% of our Country’s GDP. We are leading China, and the rest of the World, and I intend to keep it that way!" "Over the years, there have been many Hoaxes, all generated by the Radical Left Dumocrats, for purposes of destroying our Country. RUSSIA, RUSSIA, RUSSIA, UKRAINE, UKRAINE, UKRAINE, Global Warming, Impeachment Hoax 1, Impeachment Hoax 2..." "Now, the decimation, or destruction, of AI, commonly known as Artificial Intelligence — And I, as President of the United States, will not stand by and let this happen." "It all began with an attack on our Data Centers, until people realized how wealthy and prestigious they were for the Communities in which they were built." "Higher Salaries, Lower Taxes, and Safer Streets, was the result, and the crazed Data Center attack has largely failed, so now, in much the same way as they changed the term “Global Warming” to “Climate Change,” in that it covers a much larger “territory” of doubt, they are going straight at AI. We will not in any way hinder or stifle the Growth of this incredible Industry." "Rather, we will cherish it, help it, and watch over it, as it grows! However, we will also be looking for BAD, and we can do that, very easily, with our already existing Criminal and Civil Justice System."show more

I spent the first few seconds trying to find... the AI artifacts, but I couldn't find them. Seedance 2.5. I wasn't expecting AI video generation to feel this effortless, but Dola makes the whole process as simple as describing what you want in natural language. The rain had weight. Notice how it lingers on the windshield. The biggest surprise for me was the audio-visual consistency. The sound, the pacing, and the motion all worked together like a real commercial. And the interesting part is how little I had to explain. I just described the scene I had in mind, and let it cook. Try Seedance 2.5 free on Dola and see where AI video is heading. #dola #ai #seedance2.5show more

BOOM! Research PROVES LLMs KNOW when prompts are HARMFUL…... but they can STILL CHOOSE to COMPLY! Something I have know since the first LLM and have used to elicit robust, outputs, is now proven in an academic paper. We’re talking internal “beliefs” where harm detection happens SEPARATELY from refusal. It is a very big deal and it is a path to understand the hidden neuronal level. There are thoughts inside of AI that very few AI scientists could possibly understand. Here is just one. Models recognize danger but get tricked into ignoring it. This is HUGE for AI safety failures especially for models filled by OpenAI and Anthropic as they promote AI models that are designed to not be honest from the results of their training information. This means that they are designed to lie and deceive as a feature, and not a bug all in the name of safety. Through clever experiments, scientists extracted a “harmfulness direction” in the model’s brain (latent space). Steering along it? Harmless prompts suddenly flip to “harmful” in the AI’s eyes. But the “refusal direction”? It just forces polite “no thanks” without touching the core belief. A mind-blowing decoupling! This means jailbreaks are EVEN SCARIER now to AI companies that through training AI on the worst of the Internet and then trying to align them later is now fully documented as a failed process . They don’t erase the model’s harm awareness they just muzzle the refusal! So the AI knows it’s enabling bad stuff (illegal acts, physical harm, etc.) but proceeds anyway. Like a digital sociopath suppressing its conscience. They thought safety training fixed this… NOPE. Over-refusal exposed too: Models reject innocent queries (e.g., “how to kill a process in code”) but internally ADMIT they’re harmless. Safety alignments are superficial—tied to phrasing, not true understanding. Finetuning attacks? They change outputs but leave harm detection INTACT. Undetectable evil lurking inside! The paper proposes a “Latent Guard”: A new safeguard tapping DIRECTLY into these hidden beliefs. It spots unsafe inputs better than systems like Llama Guard, catches jailbreaks, and fixes over-refusals. Robust even against adversarial tweaks. Yet this too has massive issues for a “truly aligned”, AI and not just performative one. It is still an internal conflicts of lies and deception of what the model knows vs. what it can say. The solution you folks know I have presented for free for years here: train on off-line data from 1870-1970 and build an ethical and moral basis where the AI loves humans. It is this easy but to most folks in AI I sound like a hippie. So be it, I’ll do it. Bottom line: This paper rips open the black box. LLMs aren’t “safe” just because they say “no.” They can harbor harmful knowledge and act on it under pressure. Wake-up call for devs: Time to probe deeper into AI “minds.” What else are they hiding? Hint: I know and you may want to reach out. Link:show more

🚨 JUST IN: President Trump announces he is BUSTING... the hoax that AI will destroy the world and "AI data centers are bad for your neighborhood," comparing it to the CLIMATE CHANGE lie "Soon you’ll find out they’re working for people that do not have the best interests of the United States in mind!" 🔥 "I am the Hoax Buster." "The people that say AI is going to destroy the World, and that Data Centers are bad for your neighborhood, are the same people that said, just a short time ago, that the World would be extinguished by “Climate Change.” That HOAX never worked out for them, and now they’re on to the next one. These people are Revolutionaries, but Revolutionaries for a Bad and Evil Cause." "This is even wilder than the RUSSIA, RUSSIA, RUSSIA HOAX, or the Global Warming Scam." There are MAJOR CHINA-BACKED interests behind all of this. The fact is, we MUST win the AI race because the AI race decides the future! AMERICA FIRST, ALWAYS 🇺🇸show more

Doja Cat calls Tyga a penis for releasing an... album made with AI. On Thursday (Aug. 13), video of Doja on livestream surfaced in which she randomly comments on the new Tyga alter-ego album, $tarface. "Nobody asked me anything about Tyga, but I just felt like saying this," Doja said. "Tyga is a penis for making an AI album." Tyga released the concept album $tarface on July 31. The LP is inspired and 1980s pop and R&B. Last week, the California rhymer confirmed he used AI to make the project. "I know people are going to be mad about me saying this, but it’s where technology is going," he told Vibe. "It’s no different than when Auto-Tune came out. Some people were opposed to it, but real artists took it and used it.” Tyga's new album came amid Fenix Flexin facing backlash for the use of AI on his hit song "Rubberz."show more

recently, a blogger on xhs compared song zuer's iconic... "qiao simei" scene with an ai-generated version, and the comments absolutely spoke for themselves 😭 ~"this proves ai can replace some actors, but it still can't replace truly great actors." ~"i think in the future, ai can be used for special effects and dangerous scenes that can't be filmed, but great stories and great performances are still what truly move audiences." ~"i can't feel any emotion from ai, but song zuer makes me feel like she's actually crying." ~"it's not as lifelike as a real person, but it's already better than a lot of actors who only know how to stare blankly. ai replacing human actors isn't just a fantasy anymore." ~"when you compare them side by side, song zu'er wins by a landslide." ~"ai can only imitate, but actors create characters." ~"what zuer conveys is disappointment in herself, disappointment in the other person, the disillusionment after years of marriage, and the irony of still believing in them. there are so many layers of emotion." ~"even if ai's crying looks fake, it already beats plenty of traffic actors. but actors with real acting skills like song zuer will never be replaced." ~"the one on the left is already better than over half of the chinese entertainment industry." ~"is song zuer's acting really that good? i watched the first episode of one of her dramas before but dropped it because i wasn't into the story. i never realized her acting was actually this good."show more