It’s been 1000 days of Genocide in Gaza. Probably time to speak up now don’t you think?
"If you are neutral in situations of injustice, you have chosen the side of the oppressor.” Dr. Desmond Tutu.
SILENCE IS COMPLICITY!
It took a little longer than expected, but we have created a website for people to view the footage collected from Gaza in one place. You no longer have to download the entire archives to see them.
It includes:
64,537 videos
17,905 photos
Ability to download individual videos
Searchable index
Exhaustive sources list (300+ journalists)
Geolocation data
Livemap with minute to minute updates
Victim list
It can be accessed here: https://t.co/s0Se94PXWF
Please share & quote tweet to help this post break out of the twitter algorithm prison.
We will keep adding the rest of the archives to the site, be patient- it is difficult work. Continue to seed the torrents provided, as that is the best way to ensure the footage remains stored in decentalized way.
God bless all those who sacrificed their lives to get this footage out, and everyone invovled in collecting/archiving it.
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Follow our backup accounts:
@ZionismExposedx & @IsraelExposedAr
Command Code just crossed 15K paying customers! 🥳
It took us 60 days to get here. 3T tokens. We added yet another $1M a month, and now doing $2M run rate!!
July will be crazy, GUI, SDK, ACP, v1 GA, BYOK, major new plan, and two new products launching.
Command Code is quickly become the best most used coding agent harness for top open and closed models.
We took an early bet on open models when all other agents were only focused on closed frontier models.
Our research has led to the discoveries and meaningful inference engine improvements like:
1. tool call repairs (make open models faster and outperform closed by improving their tool calling ability, now doing 1M repairs per 1T tokens on most open models)
2. /design skill (a super well researched bundled skill built by real designers which is an easiest way to deslop AI's design "design repair" and improve just about any design surface)
3. cache thrashing repairs (saving tens of thousands of dollars in costs to our customers with 97-98% median cache across the top 5 models, gateway fallbacks are a bad idea, most gateways are costing you money, strong prefix building and cache management can lead to massive infra/cost improvments)
… and a couple of amazing new things we're cooking, about to launch this month!
We're also hoping that alongside v1 launch we'll be able to open source Command Code, and make it fully hackable, extendable, and support BYOK, with Codex, Claude, Grok, and more subscriptions working natively.
Super easy to get started with $1 Go plan with 10x credits, literally $10, extends to $40 on DeepSeek and other deals as we're not overcharging like all our competitors.
Massive roadmap ahead, thank you for all y'all's support. Let's go! 👊
Elon, I can give you many, many names of people who have died because of your aid cuts.:
*Yamah Freeman was a 23-year-old woman who died in childbirth because you stopped paying for the diesel for ambulances in her part of Liberia. I talked to her parents and sister in their village.
*Gbessey Kiadu, age 1, died of malaria because of your cuts in Liberia. I talked to his mom in her village.
*Ibrahim Koroma, an infant, died of AIDS in Sierra Leone after you interrupted HIV supplies. I talked to health workers who cared for him.
*Achol Deng was an 8-year-old girl with HIV in South Sudan who died when you cut funding for the health care worker who provided her medicines. I talked to him.
I could go on and on. In almost every village you go to in South Sudan, Uganda, Liberia, Sierra Leone or other countries I reported in, you find people dying because of aid cuts. I challenge you: Come with me on a reporting trip, and we'll talk to these moms and dads, and you'll see the dying children themselves. I think if you see the kids whose lives are at stake, maybe you'll change your mind.
Remember the Jensen interview with Dwarkesh? Banning NVIDIA chips was a huge mistake. Deepseek was trained optimizing Huawei chips already and more Chinese labs will adopt the same.
Cutting ties with China hoping that would kill their AI progress was a policy mistake. Export control on Fable was a mistake. Banning NVIDIA was a mistake.
AI is a paradigm shift, and to win you must play the long game and make sure everyone adopts you first. US starts the AI revolution but being closed is NOT the right strategy. It's short-sighted, and lacks strategic vision.
This is the moment Chinese AI beat American AI.
One of the largest public crypto companies in the world just DUMPED OpenAI and Anthropic.
Coinbase switched to open-weight Chinese models from Zhipu and DeepSeek, and shaved nearly 50% off the company's internal AI spending.
The numbers are absolutely ridiculous:
Running the same enterprise workload through Anthropic's Claude costs $4,811. Running it through Zhipu's GLM 5.2 costs $544. That's a 9x price difference for equivalent output.
OpenAI's GPT-5.5 sits in the middle at $3,357. DeepSeek's V4 lands at $1,071. Moonshot's Kimi at $948.
On the actual benchmarks: Zhipu's GLM 5.2 scored 62.1 on SWE-bench Pro, the gold standard for coding. OpenAI's GPT-5.5 scored 58.6.
One AI researcher called GLM 5.2 "at least as good as Opus 4.8 and GPT 5.5." Another called it "the first open model that can really compete with closed-source systems."
The Chinese models are not just cheaper but they are now also beating American models on the benchmarks American companies pay $4,811 per workload for.
Coinbase did the math first and reacted - more companies will certainly follow.
Now watch what happens to the IPO timeline:
Anthropic confidentially filed for an IPO targeting October at a $965 billion valuation. OpenAI followed days later with its own confidential filing.
Both companies built their financial models on the assumption that they could keep charging enterprise prices that are 9 to 33x what Chinese competitors charge for the same task.
Brian Armstrong publicly proved customers WILL leave.
45% of companies are now spending over $100,000 per month on AI, up from 20% last year. Every one of those customers is one quarterly budget review away from dumping American AI.
OpenAI has reportedly already started preparing major token price cuts.
Anthropic is expected to follow.
And here's the thing...
The export controls were supposed to CRUSH Chinese AI.
The US government banned American AI chips, restricted model weights, blacklisted Alibaba and Baidu as Chinese military companies, and just banned Anthropic's flagship model from every foreign national on the planet. The entire premise of the American AI valuation bubble is that Washington can keep China two generations behind.
But Chinese labs responded by building cheaper, more efficient models on inferior hardware and pricing them at one ninth the cost of the American alternative.
And now American companies are voting with their checkbooks.
The dominant American labs are valued at nearly $2 trillion combined on the assumption that their pricing power is durable. Coinbase proved it is not, and every customer doing a year-end budget review will be looking at the same math.
For investors, the question here is what happens to the Anthropic IPO at $965 billion when the company is being forced to cut prices to defend share against open-weight Chinese models that score higher on the benchmarks.
For everyone else, the bigger question is what happens when Washington spent four years and billions of dollars trying to contain Chinese AI, and the only thing that actually shifted in the end was American customers.
I can't believe how many people believe Anthropic's propaganda about distillation attacks. You can read how GLM-5 was trained in the paper.
Maybe Claude was distilled from Chinese models? I haven't seen a paper from Anthropic, and accusations are often confessions.
we asked GLM 5.2 and Claude Opus 4.8 to find and fix the bugs in two different scripts
while Opus 4.8 finished a few seconds faster in both tests, GLM 5.2 burned roughly 17k–38k fewer tokens and absolutely crushed it on cost, coming in 15x to 22x cheaper!
Test 1: GLM 5.2 ($0.068) vs. Opus 4.8 ($1.06)
Test 2: GLM 5.2 ($0.045) vs. Opus 4.8 ($1.02)