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Notify your team that Jason Adams will now lead Core AI, and coordinate with him for upcoming AI initiatives.
Configure llama‑server with draft‑mtp and ROCm for efficient inference on low‑power GPUs.
Use W4A4 quantization for prefill to gain 4x speed, avoid for decoding due to error accumulation.
Extract preference signals from your repo merge history to align agents with institutional practices.
Test your models with neutral and pressured prompts to measure honesty changes.
Explore multi‑stream LLMs for agent design.
Measure AI security using process-driven standards like BSIMM and avoid relying solely on benchmarks.
Check out the new visual fold feature in Deno Custom Nodes to collapse and tidy ComfyUI workflows.
Follow a step‑by‑step setup guide for LTX2.3 on multi‑GPU hardware to reduce complexity.
Train custom LoRA on Ace-step 1.5 with 1000 epochs, dynamic LR peaking at 3e-4, targeting loss ~0.084.
Adjust artist tag syntax: use @, increase block weight, set shift, ensure spaces, avoid negative tags.
Track DRAM supply reports and adjust mobile app feature rollout to mitigate performance impact from rising smartphone memory costs.
Use Codex to generate executive‑ready briefs and decision packets by feeding it initiative trackers, KPI dashboards, and stakeholder notes.
Experiment with small‑scale vision model training on low‑power devices like iPod touch.
SpaceX signs $1.25bn/month compute capacity deal with Anthropic for COLOSSUS, starting May 2026.
Benchmark your own models using the pelican test to assess coding agent quality.
Check Ostris AI toolkit for shared latent memory across lora trainings.
Check LTX 2.3 for zoom in issues; try alternative prompt syntax or use LTX director workflow.
Keep an eye on Qwen 27b and 122b model releases for potential performance gains.
Gorgon Halo offers only modest memory bandwidth improvement; consider Medusa Halo for significant AI performance gains.
Evaluate GPU RAM and eGPU compatibility for local LLaMA workloads.
Run tokenspeed to compare your model's actual token throughput.
Use Deep Agents v0.6 to run agents on open‑weight models and reduce costs.
Patch the FluxRT pipeline to enable int8 mode for 24 GB cards, add LoRA support, integrate the Daydream Scope plugin, add automated install scripts, and build a GUI for webcam/spout streaming. Note that 16 GB and 9B models are unsupported.
Create and run deep agents in LangSmith’s managed runtime via the /v1/deepagents API, enabling durable threads, checkpointing, sandboxed execution, and Context Hub for persistent state.
Patch the Character Generation tool to include .env configuration, API endpoints for Ollama/OpenAI/Anthropic/Gemini, database persistence, and support for epub/text. Add the Locations tab for landscape generation, Group Scene Finder and Batch Image Generation agents, and an Abort button for graceful cancellation.
Enable LangSmith Engine to automatically surface issues and generate fixes.
Patch: install ROCm 7.2.3, add user to render,video groups, compile bitsandbytes for gfx1200, use cupertinomiranda fork, download SDXL fp16 and symlink missing files.
Enable CUDA 13.0, PyTorch 2.10+cu130, and TorchAO to use MXFP8/NVFP4 on Blackwell GPUs; note that FP8 is only software fallback on RTX 20/30.
Patch datasette-agent to 0.1a3 and test the new View SQL query buttons and truncated‑response handling in your Datasette instances.