These all are scripted They said Fable is a bit modified version (little lower efficient) of Mythos, means they want us to think even fable is more powerful them how powerful Mythos would be? That's all in our subconscious mind already. Now they released the Fable 5 to understand it's capabilities, as we tried to build something big and some extras, US government suddenly came and stopped the model access to all of them, because what? Coz it's dangerous? No nothing. Now anthropic has denied everyone's access, now we think this powerful model only can be used by government, so we need to he aware?

If you inherited Elon Musk’s $839 billion fortune today, spending it all in an 80-year lifetime requires breaking the laws of basic shopping. The countdown of what you must burn through continuously: • Per year: $10.48 Billion • Per month: $873.9 Million • Per day: $28.71 Million • Per hour: $1.19 Million • Per minute: $19,939 • Per second: $332 To successfully empty the vault, you need to wake up every single morning and buy 3 commercial Boeing airplanes or 2,800 enterprise NVIDIA GPUs, then completely destroy them. The real trap is passive growth. If his stocks grow at a modest 5 percent, the money reproduces too fast. You would actually need to burn $115 million every day just to prevent the fortune from growing larger than when you started.

🚨 DEEPSEEK V4 PRO JUST BEAT GPT-5.5 PRO 38 TO 33 And it wasn't even close on the tasks that matter. → Perfect regex priority on log redaction where GPT split it wrong and risked bugs → Followed exact instructions without adding extra process theater → Matched JSON schemas byte for byte while GPT invented conditionals Wait what? The model from China was more disciplined than the frontier lab offering. The real story is precision is the new benchmark. Anyone can generate plausible code. Only a few can be trusted not to hallucinate edge cases. Your production systems will thank you for noticing.

META'S AI CHATBOT WAS THE PERFECT INSIDE MAN FOR 20K INSTAGRAM HACKS The company just admitted it in a breach notice. → Hackers told Meta AI "I've been hacked" → Fed it any random email address → AI sent the password reset link there anyway → Full account takeover on anything without 2FA This ran for months. Over 20,225 users hit. Meta finally killed the vulnerable code path after it got exposed. Wait what? Their helpful AI support feature was the backdoor the entire time. The part nobody else is saying: Meta has been gutting humans to bet everything on AI while their own systems stay this fragile. The robots ate security first. Enable 2FA before your digital twin gets owned

GOOGLE IS PAYING SPACEX $920 MILLION EVERY MONTH FOR 110K NVIDIA GPUs This is bridge capacity because demand for their Gemini Enterprise agent platform has gone nuclear. → Deal runs October 2026 through June 2029 → Roughly half the size of the $1.25B/month Anthropic Colossus deal → Google is already the largest single owner of AI compute on Earth → Yet they still needed emergency rental from Elon Wait what? Their own products are growing faster than they can build infrastructure. The AI compute arms race has reached the point where even Google is renting GPUs at scale from competitors while dropping $180B in capex. The GPU rental economy is here and the numbers are absurd. Buckle up. This market is still in the first inning

S&P 500 JUST BLOCKED SPACEX OPENAI AND ANTHROPIC FROM EASY BILLIONS The index refused to bend its profitability rules despite the unprecedented market caps. → SpaceX wanted the 12 month seasoning period cut in half → They planned to offer only ~3% of shares to public investors → $29B in debt from their massive AI infrastructure spending spree Wait what? This decision also kills any fast track for OpenAI and Anthropic IPOs into the major indexes. The quiet truth is that passive funds and retirement accounts just got protected from high risk unprofitable AI bets. Smart move by S&P. Wall Street finally drew a line in the AI gold rush

i have been using Xiaomi MIMO for my Hermes agent for over a week now i invited 4 of my friends, in each ref i got 2$ so in total i had 8$ of credits i used at maximum of it in multiple agents the intelligence is super cool still 5.35$ of credits lefts try it out use "L5JL5Y" code for 2$ free credits

MICROSOFT JUST DROPPED A GENERAL PURPOSE LINUX DISTRO 🔥 Azure Linux 4.0 hit public preview at Build and it's no longer just their secret appliance OS for AKS and internal services. Here's why this matters: → Now runs on ANY Azure VM you want → Switched to tracking Fedora 43 with declarative overlays instead of hand-maintaining every spec file → dnf5, fully hardened kernel, SELinux everywhere, signed packages, and public SBOMs → Proper distroless container images with almost nothing left to attack The wait what moment: Databricks already migrated more than 100,000 VMs and over a million CPU cores to it. LinkedIn too. Microsoft spent a decade saying they loved Linux. This is them proving it by shipping a first-class general purpose distro that already powers their biggest services. Cloud Linux just got a serious new contender.

META KEEPS DELAYING ITS NEXT MAJOR AI MODEL RELEASE TO DEVELOPERS WSJ and Reuters both confirm the company has pushed the date back multiple times already. → Internal reviews apparently keep finding issues → The model was originally expected much sooner → This comes while competitors ship updates aggressively Wait what? In an AI race measured in weeks Meta is choosing repeated delays over getting it into developers hands. The insight nobody else is saying is that past launch problems have clearly made them extremely gun shy. Caution can be smart but in this arena it risks falling behind permanently. The ones who ship win. Hesitation is its own kind of bug.

AI agents are learning to ask smarter questions by playing Battleship MIT turned the board game into a training ground for better information gathering. → Agents discover which questions maximize useful data → Hidden information mechanics map directly to real world uncertainty → Results show big gains in reasoning efficiency Your average chatbot asks follow ups that go nowhere. These ones play 4D strategy. The killer contrast is that a kids game just exposed how dumb most agent questioning strategies really are. What nobody else is saying: this simple trick might fix one of the core bottlenecks in reliable autonomous systems faster than scaling models ever could. Next time your AI wastes your time with bad questions just tell it to go play more Battleship

TRUMP JUST SIGNED AI EXECUTIVE ORDER DEMANDING VETTING OF FRONTIER MODELS The order calls for government access to top AI systems and national security reviews. It upgrades federal cyber defenses and marks a clear break from hands off policy. → Requires voluntary but structured review of new models → Gives officials visibility into training runs at the cutting edge → Ties directly into updated cybersecurity directives → Positions the US to stay ahead without full laissez faire The move everyone expected to be pure deregulation is instead inserting government eyes directly into the labs building the most powerful systems. This isn't theater. It's a calculated bet that visibility on frontier capabilities matters more than pretending the market will self regulate everything. Labs now have a new variable in their risk calculations The AI race just got a referee

NVIDIA just handed local AI agents a serious upgrade. The DGX Spark setup delivers faster models plus real multi node clustering without forcing everything into the cloud. → Optimized inference that actually screams on their silicon → Clustering that scales beyond a single box → Agents that keep your data where it belongs The punchline? While everyone argues about API rate limits and surprise bills, one hardware company is making the "just run it yourself" option genuinely competitive. Local isn't a side project anymore. It's becoming the quiet rebellion against cloud tax

Lately i started to use @XiaomiMiMo MIMO v2.5 PRO for my Hermes Agent setup TBH i felt way better than Grok models for agentic works and guess what, it's way cheaper Try your self and give review

35 years at the top. Warren Buffett just fell to 11th. He locked in the top 10 back in the early 90s and never left until March 2026. AI and automation builders just ran the score up too fast. The longest running act in wealth creation is over.

🚨 NVIDIA JUST DROPPED COSMOS 3. An open frontier world model purpose built for physical AI and robots that actually get the real world. Here's what makes it different: → Trained on massive real world video and interaction data instead of just internet text → Acts as a foundation model for physical reasoning, navigation and manipulation → Fully open so researchers and builders can extend it immediately Wait what? While labs compete on who can generate the prettiest text, Nvidia just open sourced the bridge between AI brains and real physical action. And they did it in hours old news. The part nobody is saying out loud: this could compress robotics progress by years. The gap between digital intelligence and useful robots just got a lot smaller. Your hardware is about to have a much smarter brain

🚨 🚨 GEN Z GAMER'S 3D MODEL STARTUP TRIPO AI JUST BECAME CHINA'S LATEST AI UNICORN A kid who loved games turned his 3D modeling hobby into a billion dollar AI company. No decades of research papers. No endless VC decks. Here's why this matters: -> AI powered 3D generation is now a unicorn business -> China continues pumping out high velocity AI companies -> This one came from consumer gaming roots instead of traditional tech labs Wait what? One gamer's side project hit unicorn status while most AI startups are still burning hundreds of millions trying to find product market fit. The thing nobody else is saying is that the tools have gotten so good that unexpected founders can now move at lightspeed. The old gatekeepers are losing their grip.The future belongs to builders who ship. Not just the ones with the biggest research budgets.

🚨 ANTHROPIC JUST DROPPED CLAUDE OPUS 4.8 AND CLAIMS IT FIXED AI'S BIGGEST PROBLEM The model everyone was already using just got a massive stealth upgrade. → Tackles the "lost in the middle" failure mode that destroys long context performance → Huge jumps in reliable reasoning on complex multi step tasks → New architecture changes that make outputs actually consistent at scale Wait what? They didn't hype it with a flashy keynote. Just shipped the fix that matters most in production. The part nobody is saying out loud is that the real arms race has shifted from raw benchmarks to whether your model can be trusted when the prompt gets long and messy. Reliability is the new moat. If this one delivers, half the AI wrappers in production just became 10x more useful overnight

Corporate America is now rationing AI because the bills got insane. The WSJ piece dropped a few hours ago and it's the first clear signal that the hype train is hitting real budget walls. → Companies actively limiting who can use the expensive models → Internal dashboards tracking token spend like it's oxygen → Teams getting told to "use the cheap one unless it's critical" Wait what? The same execs who were all-in on AI pilots six months ago are now putting up guardrails because inference costs are eating margins. The insight: this isn't a temporary blip. The economics of giant general models are forcing a return to specialized, efficient, on-prem or smaller models that actually deliver ROI today. The gold rush phase is ending. The efficiency wars are beginning.

Still testing my Hermes Agent for her max capabilities have you unlocked any special?

Changed from THIS -----------> THIS do you like it?