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pella

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Agentic Code Review

oreilly.com
3 points·by pella·14 giorni fa·1 comments

Recommendations for Using LLM-Backed Generative AI in FOSS Contributions

sfconservancy.org
2 points·by pella·18 giorni fa·0 comments

Software Carbon Intensity (SCI) Specification (2024)

sci.greensoftware.foundation
2 points·by pella·mese scorso·0 comments

Why Postgres Lacks Transparent Data Encryption

pgedge.com
1 points·by pella·mese scorso·0 comments

PgGraph – Graph database superpowers for your existing Postgres data

docs.evokoa.com
3 points·by pella·2 mesi fa·1 comments

OpenZL v0.2.0

github.com
5 points·by pella·2 mesi fa·0 comments

Hunk: Review-first terminal diff viewer for agentic coders

github.com
4 points·by pella·2 mesi fa·0 comments

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

thelettersfromleo.com
2 points·by pella·2 mesi fa·1 comments

Seed3D 2.0

seed.bytedance.com
1 points·by pella·3 mesi fa·0 comments

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

nrehiew.github.io
422 points·by pella·3 mesi fa·242 comments

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

matrix-game-v3.github.io
2 points·by pella·3 mesi fa·0 comments

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

github.com
8 points·by pella·3 mesi fa·1 comments

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

gail.wharton.upenn.edu
5 points·by pella·3 mesi fa·0 comments

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

videocardz.com
48 points·by pella·4 mesi fa·15 comments

How to Write a Good Spec for AI Agents

oreilly.com
2 points·by pella·4 mesi fa·0 comments

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

phoronix.com
5 points·by pella·5 mesi fa·0 comments

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

newscientist.com
71 points·by pella·5 mesi fa·60 comments

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

postgresql.org
2 points·by pella·5 mesi fa·0 comments

Linus Torvalds Confirms the Next Kernel Is Linux 7.0

phoronix.com
8 points·by pella·5 mesi fa·2 comments

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

phoronix.com
3 points·by pella·6 mesi fa·0 comments

comments

pella
·14 giorni fa·discuss


  "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 giorni fa·discuss
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 giorni fa·discuss
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 giorni fa·discuss
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 giorni fa·discuss
the original title is better: "SedonaDB 0.4: GPU-Accelerated Spatial Joins"
pella
·mese scorso·discuss
yes, same chip

+ Windows

+ Screen

- ConnectX-7 Smart NIC
pella
·mese scorso·discuss
Why is the Postgres status: "56 / 100 Failing" ???

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

- Errors: 0 ; Warnings: 6 --> "56 / 100 Failing" ???
pella
·mese scorso·discuss
> 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 mesi fa·discuss
Every geography has a timestamp.
pella
·2 mesi fa·discuss
> "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 mesi fa·discuss
[dead]
pella
·3 mesi fa·discuss
video: https://www.youtube.com/watch?v=8Ppw8254nLI
pella
·3 mesi fa·discuss
[dead]
pella
·4 mesi fa·discuss
imho: the future is a specialized compressor optimized for your specific format. ( https://openzl.org/ , ... )
pella
·4 mesi fa·discuss
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 mesi fa·discuss
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 mesi fa·discuss
Even existing hardware can fail, and swapping out memory or disks is expensive these days. :-(
pella
·5 mesi fa·discuss
3bit hard-wired Llama 3.1 8B ( https://taalas.com/the-path-to-ubiquitous-ai/ )
pella
·5 mesi fa·discuss
- 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 mesi fa·discuss
you can use: "GLM 4.7"; "QWEN3 235B" ( https://www.cerebras.ai/inference )