Best part: GPT-5.5 does all of this while being ~3x more token efficient than Opus 4.8. 47k output tokens vs 136k. Oh, it's also cheaper and faster: $6.61/task vs $12.58, 21 min vs 43 min. Enjoy!
LLMS
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Better prompts lead to better AI outputs: structure, analysis, conversation, planning.
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Better prompts = better AI outputs • Structured → precision
• Analytical → research
• Conversational → ideas
• Planning → execution Great prompts are frameworks, not guesses. Via Giuliano Liguori (
@ingliguori
) #AI #Prompts #GenAI -
GPT-5.5 beats Claude Opus 4.8 on DeepSWE with faster, cheaper performance
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GPT-5.5 is #1 on DeepSWE, a hard long-horizon coding benchmark 70% pass@1 vs 58% for Claude Opus 4.8. And GPT-5.5 gets there with:
~2x faster runs
~1/2 the cost
~1/3 the output tokens Literally, better intelligence per dollar, per minute, per task. -
Open weight models lag behind closed models but shrinking
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Open weight models have lagged the state of the art closed models by four months The lag is shrinking not expanding unlike what paid influencers would like you to believe
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Only unreleased model on LM Arena Preview follows minimalistic instruction
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Technically, "unreleased" model is already available on LM Arena in Preview. And it was the only one that followed "minimalistic" instruction properly. – Image 1 – MAI Image 2.5 – Image 2 – GPT Image 2
– Image 3 – Nano Banana 2
– Image 4 – MAI Image 2 -
Reviewing Codex output after 16 hours straight work
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me reviewing codex’s output after it worked for 16 hours straight
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Token maxing leaderboards are a stupid idea for enterprise plans
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… and those "token maxing" leaderboards, which were clearly a stupid idea to begin with, are even more of a stupid idea if you're on an "enterprise" Anthropic/OpenAI plan where you get billed at full API token price, not consumer-subscriber discounts
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2025 AI budgets shocked by 2026 agent token surge
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I think the real story here is that anyone who set their AI budget in 2025 is going to get a shock in 2026 because agent tools that didn't work in 2025 are good enough in 2026 that their teams will be burning way more tokens than anticipated
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Abacus AI: Build Complex SaaS Apps & Automations with Agent Swarms & Top Models
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🚨 Agent Swarm – Build Complex SaaS Apps And Automations On The Abacus AI Super Computer!
— Abacus.AI (@abacusai) 30 mai 2026
Create multi-agent swarms using top models including Opus 4.8, Gemini 3.5 and GPT 5.5
Each agent excels at different tasks – coding, testing, mobile app, research and monitoring
Master… pic.twitter.com/wwLxfA3kVVAgent Swarm – Build Complex SaaS Apps And Automations On The Abacus AI Super Computer! Create multi-agent swarms using top models including Opus 4.8, Gemini 3.5 and GPT 5.5 Each agent excels at different tasks – coding, testing, mobile app, research and monitoring Master