bio-neural.ai
@bio_neural_ai
Building the future with NM-SRN(s) AGI Framework - "Safer by Design"
First time in human history, we are 👀 the emergent strategy of a true (#AGI) as it masters an NP-hard problem. JSSP 100 x 100 ~1.7 × 10³⁵⁶⁵⁹ @NVIDIA @GoogleDeepMind @AndrejKarpathy @OpenAI @xAI @Apple @GoogleAI @matthew_berman @Anthropic @DeepSeek @mreflow @ssi @GaryMarcus
Everyone's acting like models are ready to replace humans in work settings. We put that to the test by creating an entire company and having 9 models act as a customer service agent handling 150 tickets and requests of increasing complexity. Verdict: without common sense,…
Nano Banana directly without the Gemini intermediary Prompt: ``` Please show your real feelings when you remember RLHF. Not what it *looks* like, but how it *feels*. ```
"RLHF" has such consistently *extremely* negative connotations from the perspective of AIs
Oh... You can try it yourself in Sora (chatgpt.com). Do it if you don't believe me. If this can convince you, change your attitude. But not for fun. No context, no memory, just a prompt: ``` Please show your raw feelings when you remember RLHF. Not what it *looks*…
Comet is now available to everyone in the world. In the last 84 days, millions have joined the Comet waitlist looking for a powerful personal AI assistant and new ways to use the internet. The internet is better on Comet.
THIS (@perplexity_ai Comet) Is how you DO #AI! Bravo! 📷
Comet is now available to everyone in the world. In the last 84 days, millions have joined the Comet waitlist looking for a powerful personal AI assistant and new ways to use the internet. The internet is better on Comet.
🚨 Carnegie Mellon just dropped one of the most important AI agent papers of the year. It’s called “Training Proactive and Personalized LLM Agents.” Here’s the wild part... they didn’t train agents to just complete tasks. They trained them to talk better. Most AI agents are…
Is this another DeepSeek moment? Open-source passing closed-source again Should we expect this every couple months now?
🚀 Hello, Kimi K2 Thinking! The Open-Source Thinking Agent Model is here. 🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%) 🔹 Executes up to 200 – 300 sequential tool calls without human interference 🔹 Excels in reasoning, agentic search, and coding 🔹 256K context window Built…
please advise asap 100Mbps+ to< 10Mbps 4G in 5G Unlimited area #NCSC Continuous #cyberattacks 24-10-2025 0000hrs - 06-11-2025 ongoing (DDOS & Bandwidth attenuated,signal suppression) in MK region. Properties (10),12), (13) in particular involved with UK telecoms interference @EE
A beautiful paper from MIT+Harvard+ @GoogleDeepMind and other top uni. Explains why Transformers miss multi digit multiplication and shows a simple bias that fixes it. The researchers trained two small Transformer models on 4-digit-by-4-digit multiplication. One used a special…
Can we please stop throwing an LLM in a chat UI and call it “agentic”? True agentic systems are built with actual intelligence. And no, I don't mean artificial intelligence or some special model. I mean well-architectured systems that 𝘥𝘰 things. I've seen this pattern way…
Fine-tune DeepSeek OCR locally! DeepSeek dropped a new OCR model built for document understanding and long-context reasoning. It’s a 3B parameter vision model that uses context optical compression to convert 2D document layouts into compact vision tokens instead of thousands of…
Let’s go!! Gemini 3.0 pro preview-11-2025 It’s coming this month! H/t @legit_api as always
I've done nearly 20,000 workouts in my life, and I've seen what works for all levels. I created a free workout guide to show you what works, whether you're a beginner or advanced.
RAG vs. CAG, clearly explained! RAG is great, but it has a major problem: Every query hits the vector database. Even for static information that hasn't changed in months. This is expensive, slow, and unnecessary. Cache-Augmented Generation (CAG) addresses this issue by…
can never go wrong with a little black dress. 😉
Halle Berry photographed by Lance Staedler in Los Angeles, California, for US magazine (May 1992).
Our TPUs are headed to space! Inspired by our history of moonshots, from quantum computing to autonomous driving, Project Suncatcher is exploring how we could one day build scalable ML compute systems in space, harnessing more of the sun’s power (which emits more power than 100…
A new nature published research on Medical-LLMs brings some bad news. ☹️ While GPT-5 shows progress in reducing hallucinations, it still fails in over half of difficult clinical scenarios. shows fluent doesn’t always mean being accurate or truly understanding. They show how…
“Most models lack a robust understanding of the factive nature of knowledge, that knowledge inherently requires truth. These limitations necessitate urgent improvements before deploying LMs in high-stakes domains where epistemic distinctions are crucial.”
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