







Been tinkering with what cloud functions could look like on AT Proto by storing WASM blobs. Influenced by the IPVM design of my big brain former co-workers from Fission github.com/avivash/at-functions
GitHub - avivash/at-functions
github.comApr 22, 2026 at 5:15 PM
How we knew it was time to leave the cloud
How we're solving storage and performance issues as we scale.

Moving Beyond Containers - Introducing Boxer by Daniel Phillips @Wasm I/O 2025
Introducing the Open Cloud Principles (OCP) - Sam Johnston
In light of the rapidly increasing (and at times questionable) use of the term "Open Cloud" I hereby propose the following (draft) set of principles, inspired

Towards infinite context windows: neural KV cache compaction | Base Labs
Working to advance and democratize open-source intelligence.

Linux Internals: How /proc/self/mem writes to unwritable memory - offlinemark
Introduction An obscure quirk of the /proc/*/mem pseudofile is its “punch through” semantics. Writes performed through this file will succeed even if the destination virtual memory is marked unwritable. In fact, this behavior is intentional and actively used by projects such as the Julia JIT comp

Blob store design challenges
It's just hashed data, what's so complex about a blob store anyway?
Introducing Hybrid Compute on Mac
Perplexity Computer uses cloud AI and local models on Mac, keeping sensitive files and information on the device.

Minions: where local and cloud LLMs meet· Ollama Blog
Avanika Narayan, Dan Biderman, and Sabri Eyuboglu from Christopher Ré's Stanford Hazy Research lab, along with Avner May, Scott Linderman, James Zou, have developed a way to shift a substantial portion of LLM workloads to consumer devices by having small on-device models (such as Llama 3.2 with Ollama) collaborate with larger models in the cloud (such as GPT-4o).

Ryan Dahl on Twitter / X
Introducing celld: a self-hosted, distributed Durable Objects and Workers implementation- celld = V8 + S3 + SQLite + LTX+ Tokio- programmed with exactly the Cloudflare Workers/DO JavaScript APIs and config- order of magnitude cheaper at scale- writes are durable before… pic.twitter.com/KCBf6U5DQw— Ryan Dahl (@rough__sea) August 5, 2026
Together AI | The AI Native Cloud
Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research.


Understanding new Cloud Storage hierarchical namespace | Google Cloud Blog
The new hierarchical namespace capabilities bring file system optimizations to Cloud Storage buckets.

Ephemeral-AI-Lab/layerfs
LayerFS gives every agent an isolated, disposable filesystem fork without copying the shared base. Useful states become durable, deduplicated checkpoints with workspace-scoped tool history—ready to branch, rewind, or reuse across parallel development, environment experiments, and MCTS-style rollouts.
Been tinkering with what cloud functions could look like on AT Proto by storing WASM blobs. Influenced by the IPVM design of my big brain former co-workers from Fission github.com/avivash/at-functions
GitHub - avivash/at-functions
github.comHi protocol friends! I've been cooking up a Very Large PDS (vlpds) implementation capable of scaling up to billions of accounts and down to just one. It uses Object Storage as its only state, supports HA operation, live scaling up and down, is feature-complete with the reference PDS, and is FOSS.
Overview · vlpds docs
vlpds.jazco.dev