Knowledge catalogue
The chart says GLM-5.1 scored 54.9 on coding benchmarks. Three points behind Claude Opus 4.6. Interesting but not the story. The story is what trained it. Zero Nvidia GPUs. 100,000 Huawei Ascend 910B
the current fear is is that AI homogenizes culture and turns humans into passive consumers one counterpoint: in Go, human play showed very little improvement from 1950 to 2016 until alphago beat lee s
There's this really nice 30-minute-long video on YouTube about the early history of CGI called 'Early CGI Was Horrifying' where the author compares some early examples of CGI to liminal spaces. It's a
This is a great tutorial (credits @itsclelia + @lancedb) on how to build a practical retrieval pipeline that integrates directly with your agent harness. 1. Ingest a massive pile of docs with litepars
This uses LiteParse, which is great for fast text search: https://developers.llamaindex.ai/liteparse/?utm_medium=social&utm_source=xjl If you're interested in deeper VLM-enabled search, check out Llam
Three million people are now using Codex weekly - up from two million a little under a month ago. Incredible to see the growth. Thank you to all of you and to the ecosystem we’re part of. To celebrate
tldr: everyone is converging on the same product shape: a general harness that takes a goal, uses tools, and does knowledge work. once every product is a harness, the next frontier is the feedback loo
On April 8, 2026, OpenAI CEO Sam Altman announced a reset of Codex usage limits to celebrate the platform reaching 3 million weekly users, with a commitment to repeat the reset at every additional ...
To run GLM-5.1 locally (744B params, 40B active MoE), full precision needs ~1.65TB disk + enterprise hardware like 8x H200/B200 GPUs. Minimum practical setup: Unsloth 2-bit GGUF quant (~220-236GB). Fi
Ollama v0.20.4-rc2 is a release candidate that addresses a compatibility issue with Flash Attention (FA) for the Gemma 4 model on older GPUs. CUDA versions older than 7.5 lack the support needed t...
Visually rich documents are especially challenging for agents. Tables, charts, and images often break traditional document pipelines, making complex reasoning difficult📄 So we teamed up with @lancedb
We are hosting Ollama's MLX meetup this Thursday night (April 9th) at Ollama's office in Palo Alto at 6pm. Come meet amazing people! RSVP is required as space is very limited. Food & drinks will be av
Week 3 ends tomorrow night. $5K up for grabs. Don’t miss your chance. $20,000 up for grabs. 4 weeks. 4 winners. We’re launching the Agent 4 Content Challenge. Build something. Film it. Post it. That’s
We’re releasing SWE-1.6, our best model in both intelligence & model UX. SWE-1.6 matches our Preview model on SWE-Bench Pro while dramatically improving on various behavioral axes. It’s available toda
With SWE-1.6 we've made significant progress on 'intelligence per token'. We post-trained the model from scratch (same pre-trained model) with a similar recipe as SWE-1.6 Preview. Our latest algorithm
Wrote up some thoughts on Anthropic's Project Glassing, where their latest Opus-beating model is available to partnered security research organizations only Given recent alarm bells raised by credible
You have heard of @openclaw competitor from @NousResearch called “Hermes.” Tomorrow at 4 pm we will get nerdy with @theemozilla. Live. I will get people up who asks questions here first. https://x.com
Anthropic's Frontier Red Team published a technical report (April 2026) detailing how their unreleased model, Claude Mythos Preview, autonomously identifies and exploits critical security vulnerabi...
Karpathy’s pattern: LLMs compile raw sources into a persistent interlinked markdown wiki—entity/concept pages, index, log—rather than re-deriving answers from RAG on every query.
1Password says 90 finance staff built 21 agents in an internal hackathon and reports 5–10 hours saved per person weekly; method is not supplied.
Regal Rexnord deployed Copilot agents to employees and customers. Regal Rexnord reported an estimated 2,400 hours saved per year through AI in a Microsoft customer story.
PwC rolled out Copilot to employees globally. PwC reported $150 million in time savings from Copilot use in a Microsoft customer story.
Mem0 documents a self-hosted agent-memory REST API with a pgvector vector store and Neo4j knowledge graph; local models are optional.
CyberArk deployed AI log-parsing automation for support teams. CyberArk reported up to 95% shorter case resolution time using AI in an AWS post co-written with CyberArk.
PwC deployed Copilot globally and reports 285,000+ users, 20M+ April 2026 actions and 1M+ hours of capacity; calculation details are not supplied.
Zapier reports 97% daily-work AI use and says its AI support-ticket summarizer halved average handle time.
Anthropic reports Zapier uses Claude in marketing, engineering, research and design; its AI-wide adoption figures are not Claude-only.
AD2-Bench diagnoses multimodal reasoning via a Chain of Evidence, showing failures from spatial ambiguity and semantic uncertainty in adverse urban scenes.
Vercel’s unified API for hundreds of models — one endpoint, auth, failover, spend controls; pairs with the AI SDK and powers this wiki’s Ask models.
BBVA reported 11,000 ChatGPT Enterprise licences in May 2025, with 83% daily usage and self-reported 2.8 hours saved weekly.
Anthropic says Quantium uses Claude in coding, bids and training; reported proposal and training gains are company/vendor claims.
DoorDash and AWS describe a live Bedrock-backed voice agent for Dasher support, reporting hundreds of thousands of calls daily.
Anthropic reports GitLab's internal Claude pilot, citing 98% surveyed satisfaction and 25–50% productivity gains without a clear measurement method.
Sun Life says its internal GenAI chatbot had over 5,000 weekly users and 400,000 queries in its first eight months.
Vercel’s open-source TypeScript SDK for multi-provider AI apps — streaming, tools, structured output, and the layer Eve builds on.
AI safety and research company (PBC) that builds Claude — reliable, interpretable, steerable systems — and publishes frontier model and safety research.
AI research and deployment company behind ChatGPT, the GPT model family, Codex, and the OpenAI API — heavily represented in this wiki’s model-releases and safety corpus.