pella

  "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."

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 )

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."

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."

the original title is better: "SedonaDB 0.4: GPU-Accelerated Spatial Joins"

yes, same chip

+ Windows

+ Screen

- ConnectX-7 Smart NIC

Why is the Postgres status: "56 / 100 Failing" ???

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

- Errors: 0 ; Warnings: 6 --> "56 / 100 Failing" ???

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

Every geography has a timestamp.

"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 |

- 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/

video: https://www.youtube.com/watch?v=8Ppw8254nLI

imho: the future is a specialized compressor optimized for your specific format. ( https://openzl.org/ , ... )

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...

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."

Even existing hardware can fail, and swapping out memory or disks is expensive these days. :-(

3bit hard-wired Llama 3.1 8B ( https://taalas.com/the-path-to-ubiquitous-ai/ )

- 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...

you can use: "GLM 4.7"; "QWEN3 235B" ( https://www.cerebras.ai/inference )

https://archive.md/BxcHq

comments: https://news.ycombinator.com/item?id=46925934

Strange that this got upvotes without anyone checking the link.

https://x.com/brian_lovin/status/2019916549000417564

retroactively - create Lightweight Architecture Decision Records (ADRs) by reconstructing key decisions from the available sources, then make it a habit to maintain them for all future changes.

- https://github.com/peter-evans/lightweight-architecture-deci...

- https://adr.github.io/

- https://www.thoughtworks.com/radar/techniques/lightweight-ar...

We need a free solution for community-driven projects (like OpenStreetMap, Wikidata, ... ~ solution for a large multi-user collaborative projects )

Check Ghostty "CONTRIBUTING.md#ai-assistance-notice"

  "The Ghostty project allows AI-assisted code contributions, which must be properly disclosed in the pull request."

Mitchell Hashimoto (2025-12-30): "Slop drives me crazy and it feels like 95+% of bug reports, but man, AI code analysis is getting really good. There are users out there reporting bugs that don't know ANYTHING about our stack, but are great AI drivers and producing some high quality issue reports.

This person (linked below) was experiencing Ghostty crashes and took it upon themselves to use AI to write a python script that can decode our crash files, match them up with our dsym files, and analyze the codebase for attempting to find the root cause, and extracted that into an Agent Skill.

They then came into Discord, warned us they don't know Zig at all, don't know macOS dev at all, don't know terminals at all, and that they used AI, but that they thought critically about the issues and believed they were real and asked if we'd accept them. I took a look at one, was impressed, and said send them all.

This fixed 4 real crashing cases that I was able to manually verify and write a fix for from someone who -- on paper -- had no fucking clue what they were talking about. And yet, they drove an AI with expert skill.

I want to call out that in addition to driving AI with expert skill, they navigated the terrain with expert skill as well. They didn't just toss slop up on our repo. They came to Discord as a human, reached out as a human, and talked to other humans about what they've done. They were careful and thoughtful about the process.

People like this give me hope for what is possible. But it really, really depends on high quality people like this. Most today -- to continue the analogy -- are unfortunately driving like a teenager who has only driven toy go-karts. Examples: https://github.com/ghostty-org/ghostty/discussions?discussio... " ( https://x.com/mitchellh/status/2006114026191769924 )

If "never" means never ...

It works as a heuristic for inferring classified activity from indirect signals.

check now:

https://www.pizzint.watch/ "PAPA JOHNS PIZZA" 294% SPIKE !

"Between the late hours of January 2 and the early morning of January 3, 2026, unusually high activity was again observed at a Papa John's near the Pentagon. This coincided with the lead-up to the United States strikes in Venezuela.[15][16] Following the strikes, President Donald Trump announced the capture of Nicolás Maduro, and his wife, Cilia Flores, who were subsequently flown out of the country to face narcoterrorism charges. The surge in pizza orders preceded the official confirmation of the operation by several hours, during which Venezuelan Vice President Delcy Rodríguez reported the couple as missing.[17]"

+

"In a statement to Newsweek in 2025, the Department of Defense denied the theory, claiming that the Pentagon has numerous internal food vendors that are available to late-night workers. It criticized the accuracy of the timeline provided by the Pentagon Pizza Report.[18][19]"

--> https://en.wikipedia.org/wiki/Pentagon_pizza_theory

https://www.pizzint.watch/ "PAPA JOHNS PIZZA" 256% SPIKE

If "never" means never, you are not leverage, you are just gone.

"For me personally, I have decided I will never be an Anthropic customer, because I refuse to do business with a company that takes its customers for granted."

The best pressure on companies comes from viable alternatives, not from boycotts that leave you without tools altogether.