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Baseball is one sport I still can’t figure out.
The rules, the scoring, everything, still a mystery to me. Do they even score?
Looks fun, but so confusing at the same time.
Anyone else feel the same or is it just me?
I think I'm gonna beg @dcommunity_main to put me through.
Atlas World 💙 retweeted
This guy made over $236,000 off my $GTA6 call on telegram.
Do not miss the next one.
Atlas World 💙 retweeted
The plan is simple, hire 2 interns from every single timezone, form a powerful cabal that is actively growing and hunting opportunities 24/7. And literally all work like lunatics until we take over CT once again. Millions will be made.
Atlas World 💙 retweeted
Been waiting a while for someone to finally bring something new to perps.
Early 👀
Atlas World 💙 retweeted
Need two interns from the following countries;
- UAE
- USA
- GERMANY / NETHERLANDS
- NIGERIA
- THAILAND
- JAPAN
- MALAYSIA
- BRAZIL
Paying $2-$10k a month depending on your skillset.
Plus you will have infinite access to upcoming oppurtunties the cabal has to offer.
Please share & repost 🙏
Atlas World 💙 retweeted
I promised another giveaway, so I am giving away $50 $SOL to 5 winners
1. Like + RT
2. Drop your wallets
3. Follow me with notis on 🔔
Doing this much so more people can eat.
My actives always get rewarded.
Atlas World 💙 retweeted
ENGINEERS AREN'T LOSING THEIR JOBS TO AI.
They're the only ones who can make multiagent systems actually work.
Thousands of persistent agents are already being pointed at research, discovery, and hardware design. But the infrastructure underneath them was never built for this.
→ Agents are stateful, idle, single-instance workloads - Kubernetes wasn't designed for them
→ Identity and authorization for agents (especially OBO and multi-agent trust) is still wide open
→ Isolation and sandboxing are mandatory once untrusted code and content are in the loop
→ Monitoring, tracing, and true kill switches barely exist for systems that can run for weeks
Models will keep improving.
The systems that let them collaborate safely won't build themselves.
This is the next real engineering problem.
Atlas World 💙 retweeted
🏆 100$ in $USDT GIVEAWAY 🎉
✅ Like+RT+🔔
✅ Follow @IThinkItsArt
✅ Like+RT+Comment their Pinned 📌
🍀 Winner in 24 Hours ⏰
Atlas World 💙 retweeted
Open-weight AI is closing the gap with frontier models FAST.
Kimi K3.1 Pro just scored 55 on the Artificial Analysis Intelligence Index, up 11 points from Kimi K3.
The agentic performance gains are even crazier:
→ 67% on Terminal-Bench 4.0, versus 13% for Kimi K3
→ 1,846 Elo on GDPval-AA, up 312 points
→ 73% on AutomationBench-AA, up from 58%
→ 1M-token context window
→ 33% lower token prices than Kimi K3
The model also reportedly leads every model on Terminal-Bench 4.0.
Here's the bigger picture:
If Moonshot releases the weights as expected, K3.1 Pro could become the highest-scoring open-weight model on the index.
The gap between leading open-weight and proprietary models could shrink from 12 points to just 3.
The next AI battle isn't just about who has the smartest model.
It's about who can deliver frontier intelligence openly, cheaply, and reliably enough to power real-world agents.
Kimi K3.1 Pro launches at 4th on the Artificial Analysis Intelligence Index scoring 55, making large gains in agentic performance; it will be the leading open-weights model once its weights are published
@Kimi_Moonshot's new reasoning model gains 11 points over Kimi K3 (max, 44). It trails only Claude Opus 5.5 (max with fallback, 58), Claude Sonnet 5.5 (max with fallback, 56), and Muse Wonder Full (max, 56) on the Intelligence Index.
Once the weights for K3.1 Pro are released it will be the highest-scoring open weights model and the gap between the leading open weights and proprietary models on the Intelligence Index will narrow from 12 points to 3.
Key results:
➤ Large gains in agentic performance: Kimi K3.1 Pro scores 3rd on GDPval-AA with 1,846 Elo, up 312 Elo from Kimi K3, behind only Claude Opus 5.5 (1,866 Elo) and Muse Wonder Full (1,857 Elo). Kimi K3.1 Pro also achieves the highest score of any model on Terminal-Bench 4.0. K3.1 Pro scores 67%, up from 13% for Kimi K3 and ahead of Claude Sonnet 5.5 (64%). AutomationBench-AA, which tests agentic SaaS workflows, rises from 58% to 73%.
➤ Gains in other evals are more moderate: Humanity's Last Exam rises from 47% to 52%, CritPt from 23% to 25%, and SciCode from 59% to 61%. AA-Omniscience Index rises from 20 to 30, as the hallucination rate falls from 53% to 44% and accuracy rises from 48% to 51%.
➤ Cost per Task roughly equal to Kimi K3 at $1.98 per Task: K3.1 Pro uses 55K output tokens per Intelligence Index task, 14% more than Kimi K3 at 48K, while its first-party token prices are 33% lower.
Additional model details:
➤ Context window: 1M tokens.
➤ Size: 2.8T total, 104B active parameters
➤ Input modalities: Text and image
➤ Weights and license: Weights currently not published, Moonshot is expected to release the weights soon after launch
➤ Pricing: $2/$10/$0.20 per 1M input/output/cache hit tokens, 33% lower than Kimi K3 on all three rates.
Congratulations to the team at @Kimi_Moonshot on the release!
Atlas World 💙 retweeted
I want to implore all opposition parties to unite in the fight against @inecnigeria, we must ensure there is no election if INEC does not provide the final list of voters without Ai and duplicated names of voters.
@PeterObi @atiku @KwankwasoRM @seyimakinde @sowore @Donald_Duke
Atlas World 💙 retweeted
BITCOIN WILL GO TO 500,000 DOLLARS
HISTORY IS ABOUT TO REPEAT
A MAJOR RISE IS COMING 🚀
Atlas World 💙 retweeted
Just spoke with 2 insiders at Coinbase…
They told me next week will be CRAZY for crypto.
I hope you are ready. 🤯