Handoffs take all week when working solo. team agents in group chat fix it.
what it is: conversations become research, docs, and webpages
why it matters: people and AI work from one shared context
Teamily AI streamlines team workflows.
the next wave of AI belongs to team agents. Teamily AI reached 1.048M visits on the chart.
what it is: people and agents working in one shared context
why it matters: it paves the way for the Agentic Internet
Teamily AI is pulling ahead of Viktor and Town.
$AAPL Q4 earnings are out. Trade AAPL on RWAPerp now.
• Revenue: $114.5B, up 12% YoY
• Diluted EPS: $2.10, up 14% YoY, including a $0.05 benefit from tariff refunds
• iPhone revenue: A September-quarter record
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Earnings season is still underway. Follow more global market developments on RWAPerp Markets.
Open → https://t.co/QIIgOETGp4
preset agent templates ready in your phone chat.
@Teamily_AI built a human-agent collaborative workspace where agents step directly into research and writing roles. Teamily AI keeps everyone aligned.
https://t.co/AR5smtTggd
Been thinking about this a lot lately. I don’t mind switching models — I mind having to rebuild the whole context every time I switch. That’s the annoying part.
the launch timing helps too — Nano Banana, GPT Image & Qwen Image are 30% OFF for the next two weeks, so I might finally test this properly.
Great builders build.
Memes, utility, governance, product tokens. we back all of it.
shipping + growing + traction = we reach out to u. dont need to ask.
grateful for every team on @o1_exchange. always here for yall.
This is how we support teams launching on @o1_exchange o1 Launchpad https://t.co/jv67JzrLK0: https://t.co/8vzNyLXyuZ
Rapport is earned not asked for.
Remember. Sky is the limit.
3/9 To study this problem, we introduce 𝗦𝗸𝗶𝗹𝗹 𝗘𝗻𝘁𝗿𝗼𝗽𝘆.
Skill Entropy is a directional, pairwise measure of how difficult it is for a model to switch from one skill to another inside the same reasoning process.
The direction matters.
Switching from mathematical derivation to creative writing may have a different difficulty from switching from creative writing to mathematical derivation. The model enters the second step with a reasoning state, answer modality, and behavioral prior shaped by the first step.
We estimate Skill Entropy by comparing how well a reference model handles skills in isolation with how well it handles them when they are chained together.
If both skills are easy individually, but performance drops substantially when the model moves from one to the other, the transition has 𝗵𝗶𝗴𝗵 𝗦𝗸𝗶𝗹𝗹 𝗘𝗻𝘁𝗿𝗼𝗽𝘆.
For a long-horizon task, we aggregate the entropy of its consecutive skill transitions into a task-level score.
This provides a difficulty axis that task length alone cannot capture. Two tasks may contain the same number of steps and similarly difficult individual questions, while differing substantially in the difficulty of the transitions between them.
Skill Entropy therefore measures not simply:
“How difficult are these skills?”
but:
“𝗛𝗼𝘄 𝗱𝗶𝗳𝗳𝗶𝗰𝘂𝗹𝘁 𝗶𝘀 𝗶𝘁 𝘁𝗼 𝗿𝗲𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗲 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝘁𝗵𝗲𝗺?”
Choose between love and power? Never. 👑Here, she takes the throne and lets the men fight for her.
Viral on Douyin! An interactive palace drama on Yoroll with character summons, branching choices, and affinity meters.
🎬 Full 1-hour game coming soon. Every alliance, betrayal, and romance is your choice. Who earns your favor?