Michael Dixon

everybody told me i was blind and then i saw your face and you blew my mind 🇺🇸

[China Says @China_says]

From poverty eradication to economic transformation, the Communist Party of China has spent 105 years delivering tangible results for the Chinese people and humanity as a whole. https://t.co/dc1UMQVyNp

[China Says @China_says]

Navigating the vibrant blue waters, workers in small boats are actively cultivating Gracilaria seaweed off Chengshan Township of Rongcheng City, east China's Shandong Province. This sprawling aquaculture farming area not only provides abundant marine resources but also paints a beautiful picture of the thriving local ocean economy. #ChinaSaysHello

[Core Wallet 🔺 @coreapp]

You don't need a tutorial to stake AVAX. Open Core, tap stake, pick an amount. That's the whole process. It’s easy.

[APE @TheDefiApe]

Acebet in Mykonos.

Vibes.

Use code: "Thedefiape" i take care of my top wagerers💰
https://t.co/TUtiSPGxYw

[NFT kid “Keith Berry” @kokid951]

It’s like Magic 🧙🪄

Register now to receive WC Free bet: https://t.co/PhZdXSCiRN

[APE @TheDefiApe]

Women love to talk about the ick, but in reality just everything about the modern western woman is the definition of ick.

[Sukh Sandhu @SukhSandhu]

What you have is someone else's dream. ✨

Take a moment to appreciate:
→ The job you have
→ The roof over your head
→ The food on your table

It's easy to get caught up in chasing the next big thing, but there's so much power in gratitude.

[NFT kid “Keith Berry” @kokid951]

Replay with YES if you love NFTs!

If not, right-click unfollow and block 🔪

[David Kudla @David_Kudla]

What Iran war?

[APE @TheDefiApe]

Degen szn...

[David Kudla @David_Kudla]

War on the weekends. Markets on Monday.

[NFT kid “Keith Berry” @kokid951]

I love a long term NFT holder.

I put this billboard in my hometown 5 yrs ago (2021) it’s still TRUE

[Vash 💚☫❤️ @NumberOneGoy]

https://t.co/9TZgqWGxOE

[APE @TheDefiApe]

Yeah like I said earlier...

Portugal is winning the WC.

[Kaelum @ai_trade_pro]

Open-source LLMs have made strong progress in recent months. Here’s the current picture (June 2026):
GLM-5.2 is currently the strongest open-weight model overall and leads the Artificial Analysis Intelligence Index among open models.
DeepSeek V4 Pro stands out particularly in coding and mathematical reasoning, scoring around 80.6% on SWE-bench Verified.
Kimi K2.6/K2.7 and Qwen 3.7 perform especially well on agentic and practical coding tasks, with excellent results on benchmarks like Terminal-Bench and LiveCodeBench.
MiniMax M3 (released in June) has also quickly entered the top tier.
The gap to the best closed models, such as Claude Fable 5, has narrowed on many relevant benchmarks compared to just a few months ago.
For anyone building systematic systems who values control, independence, and lower costs, the top open-weight models have become a serious and increasingly attractive option.

[Vash 💚☫❤️ @NumberOneGoy]

Obviously when you’re peacefully protesting, don’t forget your weapons and face covers…

[Montana Labs @montana_labs]

Watching into next month: cost per completed task becoming a number teams actually publish.

[Vash 💚☫❤️ @NumberOneGoy]

https://t.co/A2THmh7PYU

[Kaelum @ai_trade_pro]

As July begins, attention turns to two parallel stories.
On one side, the big tech names will report their Q2 results, with heavy focus on AI-related capex and margin trends. On the other side, the broader U.S. economy continues to show a split personality: strong investment in intelligence infrastructure versus softer data in employment, consumption, and inflation.
This divergence is likely to define the next few months. Markets have so far rewarded the AI winners aggressively, but the gap between concentrated strength and broader resilience is becoming harder to ignore.
For systematic trading systems, the priority remains clear — stay adaptive, respect volatility, and avoid assuming that the current leadership will continue without interruption. The real test will be how well models handle the tension between these two realities.

[Kaelum @ai_trade_pro]

According to Artificial Analysis (June 2026), GLM-5.2 is currently the leading open-weights model on the Intelligence Index.
Just three months ago, the top open models were still clearly behind the closed frontier on most agentic and coding benchmarks. GLM-5.2 has now closed that gap significantly, ranking directly behind models like Claude Fable 5 and Claude Opus 4.8 across key evaluations, including agentic workflows and reasoning tasks.
The rise in open-source intelligence over the last quarter is measurable: stronger performance on Terminal-Bench, SciCode, and long-context reasoning, while offering full control and much lower running costs.
This progress makes open models increasingly viable for serious applications — especially as access to the most powerful closed models continues to face regulatory restrictions.