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pella

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投稿

Agentic Code Review

oreilly.com
3 ポイント·投稿者 pella·14 日前·1 コメント

Recommendations for Using LLM-Backed Generative AI in FOSS Contributions

sfconservancy.org
2 ポイント·投稿者 pella·18 日前·0 コメント

Software Carbon Intensity (SCI) Specification (2024)

sci.greensoftware.foundation
2 ポイント·投稿者 pella·先月·0 コメント

Why Postgres Lacks Transparent Data Encryption

pgedge.com
1 ポイント·投稿者 pella·先月·0 コメント

PgGraph – Graph database superpowers for your existing Postgres data

docs.evokoa.com
3 ポイント·投稿者 pella·2 か月前·1 コメント

OpenZL v0.2.0

github.com
5 ポイント·投稿者 pella·2 か月前·0 コメント

Hunk: Review-first terminal diff viewer for agentic coders

github.com
4 ポイント·投稿者 pella·2 か月前·0 コメント

"Would It Matter If I Told You I'm Pope Leo?"

thelettersfromleo.com
2 ポイント·投稿者 pella·2 か月前·1 コメント

Seed3D 2.0

seed.bytedance.com
1 ポイント·投稿者 pella·3 か月前·0 コメント

Over-editing refers to a model modifying code beyond what is necessary

nrehiew.github.io
422 ポイント·投稿者 pella·3 か月前·242 コメント

Matrix-Game 3.0: Real-Time and Streaming Interactive World Model

matrix-game-v3.github.io
2 ポイント·投稿者 pella·3 か月前·0 コメント

Larql: LLMs Are Databases. Query neural network weights like a graph database

github.com
8 ポイント·投稿者 pella·3 か月前·1 コメント

Beyond Copy-and-Paste: How Game Studios Are Reorganizing Around AI (Research)

gail.wharton.upenn.edu
5 ポイント·投稿者 pella·3 か月前·0 コメント

Thermal Grizzly was scammed twice on raw materials worth €40k

videocardz.com
48 ポイント·投稿者 pella·4 か月前·15 コメント

How to Write a Good Spec for AI Agents

oreilly.com
2 ポイント·投稿者 pella·4 か月前·0 コメント

AI Helped Uncover a "50-80x Improvement" for Linux's IO_uring

phoronix.com
5 ポイント·投稿者 pella·5 か月前·0 コメント

How teaching molecules to think is revealing what a 'mind' is

newscientist.com
71 ポイント·投稿者 pella·5 か月前·60 コメント

PostgreSQL 18.2, 17.8, 16.12, 15.16, and 14.21 Released

postgresql.org
2 ポイント·投稿者 pella·5 か月前·0 コメント

Linus Torvalds Confirms the Next Kernel Is Linux 7.0

phoronix.com
8 ポイント·投稿者 pella·5 か月前·2 コメント

AMD Releases MLIR-AIE 1.2 Compiler Toolchain for Targeting Ryzen AI NPUs

phoronix.com
3 ポイント·投稿者 pella·6 か月前·0 コメント

コメント

pella
·14 日前·議論


  "The unreasonable effectiveness of our first foray into training leads us to believe that the graph model is uniquely  positioned to facilitate ML-guided generation of compressors. We are tempted to view this as “the next big thing” in production-scale compression. Whereas compression research has up to now eluded those without domain expertise, we believe the future of application-specific compressors will be unlocked via investment in automated learning methods."
https://arxiv.org/abs/2605.09928 [11 May 2026] OpenZL: Using Graphs to Compress Smaller and Faster
pella
·14 日前·議論
The future may be ~ AI-assisted format detection + OpenZL

(~ OpenZL-AI-LLM recognises the data structure, then guides OpenZL toward the best lossless compression path )
pella
·14 日前·議論
Please check the OpenZL v0.2 + Silesia corpus benchmark.

  "OpenZL to offer 10% faster compression speed and 70% faster decompression speed compared to Zstandard level 1 on the Silesia corpus in our benchmarks."
  "OpenZL now ships its own LZ codec, exposed as ZL_GRAPH_LZ, and the serial profile in zli. It is still being actively developed to expand its feature set and improve performance on small inputs."
https://github.com/facebook/openzl/releases/tag/v0.2.0
pella
·14 日前·議論
OpenZL is the future: https://openzl.org/

  "OpenZL delivers high compression ratios while preserving high speed, a level of performance that is out of reach for generic compressors. OpenZL takes a description of your data and builds from it a specialized compressor optimized for your specific format."
pella
·14 日前·議論
the original title is better: "SedonaDB 0.4: GPU-Accelerated Spatial Joins"
pella
·先月·議論
yes, same chip

+ Windows

+ Screen

- ConnectX-7 Smart NIC
pella
·先月·議論
Why is the Postgres status: "56 / 100 Failing" ???

https://scanaislop.com/postgres/postgres ( @ 5ab239c )

- Errors: 0 ; Warnings: 6 --> "56 / 100 Failing" ???
pella
·先月·議論
> and the article doesn't provide any configuration details (like shared buffers, is huge pages enabled).

maybe ? : phoronix-test-suite/ob-cache/test-profiles/pts/pgbench-1.16.2/install.sh

  # start server
  SHARED_BUFFER_SIZE=\`echo \"\$SYS_MEMORY * 0.25 / 1\" | bc\`
  SHARED_BUFFER_SIZE=\$(( \$SHARED_BUFFER_SIZE < 8192 ? \$SHARED_BUFFER_SIZE : 8192 ))
  echo \"Buffer size is \${SHARED_BUFFER_SIZE}MB\" > \$LOG_FILE
  pg_/bin/pg_ctl start -o \"-c max_connections=6000 -c  shared_buffers=\${SHARED_BUFFER_SIZE}MB\"
  # wait for server to start
https://github.com/phoronix-test-suite/phoronix-test-suite/b...
pella
·2 か月前·議論
Every geography has a timestamp.
pella
·2 か月前·議論
> "fc is a lossless compressor for streams of IEEE-754 64-bit doubles."

The new OpenZL SDDL2 (Simple Data Description Language) supports several different floating-point types. It would be worthwhile to contribute some of the FC project's experience to OpenZL. Now the OpenZL supported types:

  | Type           | Size    |Endian|
  |----------------|---------|-----|
  | `Int8`         | 1 byte  | N/A |
  | `UInt8`        | 1 byte  | N/A |
  | `Int16LE/BE`   | 2 bytes | Yes |
  | `UInt16LE/BE`  | 2 bytes | Yes |
  | `Int32LE/BE`   | 4 bytes | Yes |
  | `UInt32LE/BE`  | 4 bytes | Yes |
  | `Int64LE/BE`   | 8 bytes | Yes |
  | `UInt64LE/BE`  | 8 bytes | Yes |
  | `Float16LE/BE` | 2 bytes | Yes |
  | `Float32LE/BE` | 4 bytes | Yes |
  | `Float64LE/BE` | 8 bytes | Yes |
  | `BFloat16LE/BE`| 2 bytes | Yes |
  | `Bytes(n)`     | n bytes | N/A |
Some links:

- https://github.com/facebook/openzl/releases/tag/v0.2.0

- https://openzl.org/getting-started/introduction/

- https://openzl.org/sddl/sddl2-announcement/

- https://openzl.org/sddl/core-concepts/
pella
·3 か月前·議論
[dead]
pella
·3 か月前·議論
video: https://www.youtube.com/watch?v=8Ppw8254nLI
pella
·3 か月前·議論
[dead]
pella
·4 か月前·議論
imho: the future is a specialized compressor optimized for your specific format. ( https://openzl.org/ , ... )
pella
·4 か月前·議論
other test:

2025-09-08 : "Big Data on the Move: DuckDB on the Framework Laptop 13"

"TL;DR: We put DuckDB through its paces on a 12-core ultrabook with 128 GB RAM, running TPC-H queries up to SF10,000."

https://duckdb.org/2025/09/08/duckdb-on-the-framework-laptop...
pella
·4 か月前·議論
Thanks!

Looks similar to OpenZL ( https://openzl.org/ ) "OpenZL takes a description of your data and builds from it a specialized compressor optimized for your specific format."
pella
·5 か月前·議論
Even existing hardware can fail, and swapping out memory or disks is expensive these days. :-(
pella
·5 か月前·議論
3bit hard-wired Llama 3.1 8B ( https://taalas.com/the-path-to-ubiquitous-ai/ )
pella
·5 か月前·議論
- https://news.ycombinator.com/item?id=47086181

- https://taalas.com/the-path-to-ubiquitous-ai/

- https://www.nextplatform.com/2026/02/19/taalas-etches-ai-mod...
pella
·5 か月前·議論
you can use: "GLM 4.7"; "QWEN3 235B" ( https://www.cerebras.ai/inference )