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🚨☣️More details on the Oct 1st pneumonic plague outbreak in Siberia, after a lab accident at a BSL-3 lab. "FSB units accompanying ambulances transporting people who had been in contact with [lab tech] Shipilova for medical examination," as per local news. This is significant. FSB is Russia's domestic security / counterintelligence service, tasked w/implementing the national security of Russia." (Its predecessor was the KGB). This suggests quarantine was not voluntary. It also means Russian authorities are treating the lab accident and plague outbreak as a national security issue, involving a lot more than routine public health.
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You are liable under the telephone consumer protection act if you dial a consumer without express written consent. Does your business know the law?
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The pace of change is accelerating
China built an AI that works like a human brain and it's 100x faster than current LLMs while using 97% less energy. It’s called SpikingBrain, a family of brain-inspired large models that completely re-engineers how AI processes information. Instead of burning endless energy on continuous matrix multiplications like traditional Transformers, SpikingBrain uses adaptive spiking neurons. It mimics actual biological firing patterns. Neurons only activate when triggered by specific events, meaning the model achieves a staggering ~69% sparsity at the micro level. It doesn't waste compute on silence. It only thinks when it needs to. And results change the game for long-context processing: • Achieves over a 100× speedup in Time to First Token (TTFT) for massive 4M-token sequences. • Matches performance with advanced open-source Transformer baselines while using a fraction of the data. • Built to run and scale stably on non-NVIDIA hardware clusters (like MetaX chips), completely bypassing Western hardware dependency. We spent years trying to brute-force bigger AI models by throwing more electricity and silicon at them. Nature figured out how to do it efficiently millions of years ago.
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Google out of nowhere.
Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.
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Tom Ryan retweeted
This wasn't what I said, but it's still funny 😂
POV you watch @dhh explain to you coding is dead
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Tom Ryan retweeted
At long last, we have given Claude a wet lab, as in the classic sci-fi novel Don't Give Claude a Wet Lab.
SITUATION DETECTED: Anthropic has set up a wet lab in the San Francisco Bay Area for physical biology work. It wants to unlock treatments for rare diseases, and its research has now gone beyond in silico evaluations, per Reuters.
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Your right. 😂
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How one mistake caused a $600,000,000 business to go bankrupt.
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What you don’t know can put you out of business.
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Want to buy Anthropic at 2 trillion? Astra is much better. Grok is coming Meta is coming Google is coming Deepseek is coming Kimi is coming GLM is coming Anthropic has no moat, and is by far the most expensive model. Switching costs are about an hour of time. Maybe a week for a large enterprise. You have been warned.
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ANTHROPIC MORONS JUST GAVE UP INCREDIBLE INTELLIGENCE CHANNEL RATHER THAN QUIETLY INFORMING U.S. GOV. THEY MIGHT BE EVEN DUMBER THAN THE IRANIANS.
Holy shit. Anthropic caught Iran using Claude to target Navy bases, automate dossiers on Americans, and run influence campaigns on US social media. Details are insane. The morons uploaded everything including the organization plans of the Ayatollah's funderal lmao
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Chill
Everyone needs to relax I asked Claude if it’s true
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Tom Ryan retweeted
We benchmarked DeepSeek V4.1 Flash by @deepseek_ai . It reached 98% of GPT-6 Astra’s score at 1.4% of the cost on everyday design tasks based on user requests. Every model except Astra scored lower AND cost more. Are open models overtaking closed ones? Full results below ↘️
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They might have to pause until the next GLM release.
Demand for Astra is really unprecedented. We're pulling all the levers possible to sustain the demand, but I've not seen anything like it until now and we went through very steep growth before. Priority will always be to keep excellent service for existing users, but we might have to pause new Pro subscriptions for a bit if this continues.
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Tom Ryan retweeted
The AI Singularity The argument goes like this: 1. Humans build an AGI. 2. The AGI becomes good at AI research. 3. It designs a smarter AI. 4. That smarter AI designs an even smarter AI. 5. The cycle repeats faster and faster. Looking at the results and capabilities from the various labs over the past few weeks I would say we are firmly in this loop now. The next 18months will be wild. Recursive self improvement will dramatically increase capability very quickly from here. Marginal costs of all models will go to ~$0.
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This would be a game changer.
GLM-5.5 Leak: Mythos Level 🐉 >GLM-5.5 reportedly expected to beat Mythos 5.1 and GPT-6 Astra >September release window reportedly targeted >Rumored 3T+ parameter model >Expected to remain open-weight >1M-token context window reportedly carried over >Rumored to deliver frontier-level performance Can GLM-5.5 actually beat Fable 5.1 and GPT-6 Astra?
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Jensen says we achieved AGI. It’s hard to disagree.
GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years. AGI has arrived. Congratulations @OpenAI team. 400K GPUs coming online next.
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Is it time to buy treasuries?
This is wild. The 10 year rolling returns on Treasuries is now -2%, the worst in 100 YEARS. h/t: @agnostoxxx
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Tom Ryan retweeted
Awesome to see GPT-6 Astra is #1 on Terminal Bench 4.0 using the Codex harness. At 50% of the cost of #2.
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Tom Ryan retweeted
“I Forced 100 Programmers to Use Only Gemini for 30 Days”
MrBeast has partnered with Google Gemini for a multi-year partnership to "turn impossibly big ideas into reality". This Saturday, MrBeast will upload a video on the main channel where the crew uses Gemini to help them navigate brutal terrain and harsh climates.
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