Desktop and shared changes

Revert "chore(release): release Buzz Desktop version 0.5.3" (#3960) (bb34bc4d98fe4dabe847046103ac5e2859917ac5)
chore(release): release Buzz Desktop version 0.5...

Comparing the best enterprise SAST tools on noise reduction, AI remediation, governance, compliance, and cost

El jefe de Gabinete le dijo a la vicepresidente que si no comparte el rumbo del gobierno "que dé un paso al costado". No lo hará.

Entenda os segredos do comportamento humano e da psicologia do suce...

The new Google Analytics alert helps marketers identify missing URL parameters that can reduce campaign attribution accuracy.

Google YouTube audio ads help doc, brings the format's setup, specifications, and best practices into one place.

Adoption is on pause for now.

Access large language models from the command-line

LLM plugin to serve an OpenAI Chat Completions API endpoint

Access large language models from the command-line

I've been working with Jesse Vincent's Prime Radiant applied AI research lab building out this evals framework to help answer questions about the capabilities of different models. The result is …

let’s put this 80% price drop for 5.6🌙 in perspective

three weeks ago, gpt-5.5 xhigh was our frontier.
it completed 67% of tasks on DeepSWE.

today, luna max matches that score at about $0.12 per task instead of $7.23.

same score.
roughly 60x cheaper.…

The next step after a model ships is teaching it to keep learning on the job, and Raymond Feng lays out how Applied Compute trains custom models with reinforcement learning that plug into whatever harness an enterprise already runs. The setup is an orchestrator…

Mahesh Sathiamoorthy's pitch is to stand in the researcher's shoes: the hard part of post-training is not the algorithm but the data and the environments that feed it. As agents get pushed to run autonomously for hours, something eventually falls over, and…

Ross Taylor opens with some history: back in 2022 he worked on Galactica, an early large model for science that briefly crossed the Rubicon on curated high quality data and intermediate reasoning tokens before the reaction overshadowed the work. That obsession…

Everyone wants agents that handle long horizon work, but Rayan Garg starts with the awkward question of what long horizon even means. One popular answer measures the time horizon as the task length at which an agent crosses a success threshold, like the sixteen…

Swap compute for data on the scaling curve and the same money buys a better model, which is why Ari Morcos calls data quality the compute multiplier and the most underinvested part of training. His frame is an oil refinery for data rather than a firehose:…

To train an agent that can run production software, you need training data that looks like production, and that is what Joseph Wang's team at Emulated builds. Coming from network infrastructure backgrounds, they know what happens when something like a database…

Buzz from @jack is the future of AI

It allows you to command an entire army of AI agents

My Codex, Claude Code, Hermes, and OpenClaw agents all work together in one place to do mind blowing work

In this video I cover how it works and how you can get 100x…

AWESOME new update for Codex

The new activity view is a way better way to get work done FAST

Old Codex (and every other AI agent) is just a long list of all threads you've started

This new activity mode instead sorts your threads like an email inbox

Ones…