Meet Talkie-1930: A 13B Open-Weight LLM Trained on Pre-1931 English Text for Historical Reasoning and Generalization Research
What if a language model had never heard of the internet, smartphones, or even World War II? That’s not a hypothetical — it’s exactly what a team of researchers led by Nick Levine, David Duvenaud, and Alec Radford has built. They call it talkie, and it may be the most historically disciplined large ...
Build a Reinforcement Learning Powered Agent that Learns to Retrieve Relevant Long-Term Memories for Accurate LLM Question Answering
In this tutorial, we build a Reinforcement Learning–driven agent that learns how to retrieve relevant memories from a long-term memory bank. We start by constructing a synthetic memory dataset and generating queries that require the agent to recall specific information. Using OpenAI embeddings, we c...
OpenMOSS Releases MOSS-Audio: An Open-Source Foundation Model for Speech, Sound, Music, and Time-Aware Audio Reasoning
The model unifies speech, environmental sound, music, and temporal reasoning into a single architecture — and outperforms every open-source model tested on general audio benchmarks, including systems more than four times its size.
The post OpenMOSS Releases MOSS-Audio: An Open-Source Foundation Mode...
DeepMind’s David Silver just raised $1.1B to build an AI that learns without human data
Ineffable Intelligence, a British AI lab founded a mere few months ago by former DeepMind researcher David Silver, has raised $1.1 billion in funding at a valuation of $5.1 billion.
OpenAI is available at FedRAMP Moderate authorization for ChatGPT Enterprise and the OpenAI API, enabling secure AI adoption for U.S. federal agencies.
Artificial intelligence may be dominating boardroom agendas, but many enterprises are discovering that the biggest obstacle to meaningful adoption is the state of their data. While consumer-facing AI tools have dazzled users with speed and ease, enterprise leaders are discovering that deploying AI a...
Show Your Work: The Case for Radical AI Transparency
A colleague told me something recently that I keep thinking about. She said, unprompted, that she appreciated seeing both sides of my AI conversations. Not just the output. The full thread. My prompts, the AI’s responses, the back and forth, the dead ends, the iterations. She said it made her trust ...
Meta AI Releases Sapiens2: A High-Resolution Human-Centric Vision Model for Pose, Segmentation, Normals, Pointmap, and Albedo
Meta Reality Labs releases a new foundation model family for human-centric vision that pushes pose estimation, segmentation, and 3D geometry to new state-of-the-art levels — all from a single backbone.
The post Meta AI Releases Sapiens2: A High-Resolution Human-Centric Vision Model for Pose, Segment...
LoRA is widely used for fine-tuning large models because it’s efficient, but it quietly assumes that all updates to a model are similar. In reality, they’re not. When you fine-tune for style (like tone, format, or persona), the changes are simple and concentrated in just a few dimensions — which LoR...
Learn how Symphony, an open-source spec for Codex orchestration, turns issue trackers into always-on agent systems—boosting engineering output and reducing context switching.
Top 7 Benchmarks That Actually Matter for Agentic Reasoning in Large Language Models
As AI agents move from research demos to production deployments, one question has become impossible to ignore: how do you actually know if an agent is good? Perplexity scores and MMLU leaderboard numbers tell you very little about whether a model can navigate a real website, resolve a GitHub issue, ...
RAG Without Vectors: How PageIndex Retrieves by Reasoning
Retrieval is where most RAG systems quietly break. Traditional pipelines rely on vector similarity—embedding queries and document chunks into the same space and fetching the “closest” matches. But similarity is a weak proxy for what we actually need: relevance grounded in reasoning. In long, profess...
AI Weekly Issue #487: 100 years from now : The Allowance
This is 100 Years From Now, a weekly series. Once a week we skip a century and try to picture what life actually looks like when the stuff we're building now has had time to settle in.
This week: the billionaires who broke the economy want to pay you to shut up about it.
xAI Launches grok-voice-think-fast-1.0: Topping τ-voice Bench at 67.3%, Outperforming Gemini, GPT Realtime, and More
The new flagship voice model outperforms Gemini, GPT Realtime, and its own predecessor across retail, airline, and telecom workflows
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Anthropic created a test marketplace for agent-on-agent commerce
In a recent experiment, Anthropic created a classified marketplace where AI agents represented both buyers and sellers, striking real deals for real goods and real money.
A Coding Implementation on kvcached for Elastic KV Cache Memory, Bursty LLM Serving, and Multi-Model GPU Sharing
In this tutorial, we explore kvcached, a dynamic KV-cache implementation on top of vLLM, to understand how dynamic KV-cache allocation transforms GPU memory usage for large language models. We begin by setting up the environment and deploying lightweight Qwen2.5 models through an OpenAI-compatible A...