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SOFTWARE

Agent Swarms for Apps and Automations

By

@abacusai

–

21 May 2026 3h15

🚨 AGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS WITH ONE PROMPT

Combine Gemini 3.1 Pro, Opus 4.7 and GPT 5.5 to create complex multi-agent systems

Each agent excels at a particular task – coding, testing, mobile app, research and monitoring

Master agent orchestrates… pic.twitter.com/QGfgUPNT84
— Abacus.AI (@abacusai) 21 mai 2026

AGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS WITH A SINGLE PROMPT Combine Gemini 3.1 Pro, Opus 4.7, and GPT 5.5 to create advanced multi-agent systems. Each agent specializes in a specific task—coding, testing, mobile app development, research, and monitoring. A master agent orchestrates the workflow.

→ View original post on X — @abacusai,

21 May 2026
Base44 launches AI-powered website builder with motion and component support

By

@kimmonismus

–

20 May 2026 18h23

Base44 just launched a new design experience that generates full sites with actual motion from a single prompt. Not the usual static AI builder output — components render properly, animations are timed, and you keep designing in the chat instead of starting over. The gap between… https://t.co/Tv2ChjUFAT
— Chubby♨️ (@kimmonismus) 20 mai 2026

Base44 just launched a new design experience that generates full sites with actual motion from a single prompt. Not the usual static AI builder output — components render properly, animations are timed, and you keep designing in the chat instead of starting over. The gap between

→ View original post on X — @kimmonismus,

20 May 2026
Gemini Omni vs Seedance 2.0: Different Models

By

@dotcsv

–

20 May 2026 0h13

Creo que muchos están enfocando mal el modelo de Gemini Omni al compararlo con Seedance 2.0 cuando conceptualmente son cosas distintas.

Este es un modelo para editar vídeos (a la Nano Banana) como nunca antes habíamos tenido! pic.twitter.com/eaqngSnbCD
— Carlos Santana (@DotCSV) 19 mai 2026

I think many are focusing on the wrong aspect when comparing the Gemini Omni model to Seedance 2.0, as they are conceptually entirely different things. This is a video editing model (like Nano Banana) unlike anything we've seen before!

→ View original post on X — @dotcsv,

20 May 2026
Composer 2.5: Efficiency and AI Capability

By

@kimmonismus

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18 May 2026 23h57

Intelligence too cheap to meter. This is the real deal. Composer 2.5 is an efficiency-beast

→ View original post on X — @kimmonismus,

18 May 2026
Educational guide on building AI-enhanced web applications with LLMs

By

@kirkdborne

–

16 May 2026 16h42

Build AI-Enhanced Web Apps: http://
amzn.to/4bgux6d
———
Amazon Summary: "This book shows you step-by-step and example-by-example how to build sites and applications that take advantage of large language models (LLMs) like GPT, Claude, and Llama. Written especially for web

→ View original post on X — @kirkdborne,

16 May 2026
AI Storage: No Trade-Offs Between Cost and Workflow

By

@clementdelangue

–

15 May 2026 17h07

AI teams shouldn’t have to choose between costly object storage and cumbersome git workflows. @huggingface
Storage is designed for model weights, datasets, checkpoints, and artifacts:
– simple per-TB pricing
– built-in CDN
– Xet deduplication
– private by default when needed Store

→ View original post on X — @clementdelangue,

15 May 2026
4 agent optimization methods tested on BrowseComp-Plus

By

@ai21labs

–

13 May 2026 12h58

1/5 We’re seeing 4 common agent optimization methods for hitting the right accuracy-cost or accuracy-latency tradeoff. We tried them all out on BrowseComp-Plus (results at end of the thread).

→ View original post on X — @ai21labs,

13 May 2026
AI context gets fresh with Cocoindex

By

@alphasignalai

–

12 May 2026 17h02

The way AI agents access fresh context has just been transformed forever. AI agents constantly face a major hurdle: their context becomes outdated. Every codebase update, new Slack message, or fresh PDF requires rebuilding the entire pipeline from the ground up. Cocoindex is an open-source engine that solves this problem.

→ View original post on X — @alphasignalai,

12 May 2026
Speculative decoding speeds up LLMs by 6x

By

@alphasignalai

–

10 May 2026 14h00

The slowest part of running an LLM just got 6x faster without losing a single token.

LLMs generate text one token at a time.

That sequential bottleneck wastes GPU power and slows everything down.

Speculative decoding fixes part of this.

A small draft model guesses ahead,… pic.twitter.com/y7YlqTWvrj
— AlphaSignal AI (@AlphaSignalAI) 10 mai 2026

The slowest part of running an LLM just got 6x faster without losing a single token. LLMs generate text one token at a time. This sequential bottleneck wastes GPU power and slows everything down. Speculative decoding addresses part of this issue. A small draft model predicts ahead.

→ View original post on X — @alphasignalai,

10 May 2026
Mozilla uses Claude Mythos to fix Firefox bugs

By

@therundownai

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08 May 2026 0h08

Wild chart from Mozilla showing its use of Claude Mythos Preview to patch security bugs in Firefox. April = Mythos-assisted

→ View original post on X — @therundownai,

8 May 2026

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