The Ultimate Dogfooding: How an AI Agent Negotiated a $100M Series B
In a milestone for autonomous workflows, an AI startup just let its own LLM-powered agent handle the entirety of its $100M fundraise—from pitching VCs to negotiating ter…
The day's biggest AI story, explained at length with its sources. Page 4 of 5.
In a milestone for autonomous workflows, an AI startup just let its own LLM-powered agent handle the entirety of its $100M fundraise—from pitching VCs to negotiating ter…
Mark Zuckerberg just open-sourced a 2-trillion parameter behemoth that scores 87% on the ARC-AGI test, proving scale and synthetic data can solve abstract reasoning.
NVIDIA's newest open-weight behemoth proves that State Space Models can scale to GPT-4 levels of intelligence—while slashing inference costs by 90% and eliminating the K…
By dynamically allocating active parameters based on prompt complexity, Gemini 3.0 achieves frontier reasoning at a fraction of the compute, altering AI economics.
Moving beyond brute-force context scaling, Claude 4 introduces a read-write memory architecture that achieves 100M-token recall at a fraction of the inference cost, shif…
By generating 'visual chains of thought' in latent space, OpenAI’s new frontier model simulates physics to solve spatial problems, scoring 94.2% on the ARC-AGI benchmark.
By completely eliminating floating-point matrix multiplication, Microsoft's new 1-bit architecture achieves frontier-model performance while consuming 90% less memory an…
Llama 4 doesn't just inference—it learns. Meta's 800B parameter MoE introduces 'Liquid Weights,' allowing real-time knowledge updates without catastrophic forgetting.
By natively integrating 'pause tokens' and dynamic inference scaling, Mistral's new 104B model beats proprietary giants on SWE-bench by thinking longer.
By baking a verifier network directly into the decoding process, Meta's new 70B model brings o1-class System 2 reasoning to local hardware.
Mistral's 314B hybrid Mamba-Transformer model matches frontier performance while eliminating the quadratic attention bottleneck. Here is why SSMs just won the context wa…
Forget vector databases. Meta's new Llama 5 models introduce Continuous Adaptive Weights, allowing the LLM to learn from prompts in real-time without catastrophic forget…
Moving beyond static weights, the MIT spin-off's new 50B parameter model updates its neural pathways in real-time, matching GPT-5.4 reasoning on a single consumer GPU.
DeepSeek's massive 2.5-trillion parameter MoE model abandons human text, relying on physics engines and self-play to achieve state-of-the-art reasoning for just $2.5M.
A briefly published arXiv paper reveals Apple's plan for 'Nightly LoRA'—updating LLM weights locally on your iPhone while you sleep to create a truly personalized AI.
Mistral's surprise release of a Mamba-MoE hybrid achieves GPT-4-level reasoning with infinite context and zero KV cache bloat, signaling the post-Transformer era.
Two years after its debut, Sora transforms from a slow rendering engine into a real-time interactive world model, fundamentally disrupting game development and live medi…
Released at midnight, Qwen-5-Max shatters coding benchmarks using a novel 'Test-Driven-Reflection' architecture to autonomously resolve GitHub issues. And the weights ar…
Mistral's new 70B ternary model matches GPT-4 class performance but runs on a standard 16GB MacBook. The era of FP16 might officially be over.
Code-only AI agents fail when optimizations require domain knowledge. By adding a literature review phase, SkyPilot's agent found C++ operator fusions humans missed.
By rewriting its own parameters during inference, Fluid-12B achieves GPT-4 level reasoning on a smartphone, signaling the end of static LLMs.
Blurring the line between video generation and game engines, OpenAI’s new model generates fully playable, physics-grounded environments in real-time from a single text p…
Google just replaced the KV cache with a Differentiable Neural Memory Bank. Gemini 3 boasts infinite context, O(1) scaling, and continuous cross-session learning.
Mistral just shattered the static-weight paradigm. Synapse-1 uses a novel "Liquid LoRA" architecture to update its weights in real-time, effectively killing RAG.