Praxander
1.4K posts


Whoa, GLM-5.2 is INSANE for UI/UX with the right prompting. Open models have finally closed the gap.
You have to push it, but it's super creative. I just asked for a beautiful personal site; this was all the model's idea (multiple turns):
Z.ai@Zai_org
Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: z.ai/blog/glm-5.2 Weights: huggingface.co/zai-org/GLM-5.2 API: docs.z.ai/guides/llm/glm… Coding Plan: z.ai/subscribe Chat: chat.z.ai
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@filibluster @LLMJunky @DavidSacks @AnthropicAI lol what a dumb comment. Look at the system cards for every frontier LLM ever, you might notice some similarities. Nobody “understands” how these systems work completely, that’s the whole reason we have AI research in the first place.
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@LLMJunky @DavidSacks The issue isn't that it's capable but that @AnthropicAI don't understand how to control their model. Read the system card - 319 pages of obfuscation detailing a model completely out of control of the company (they don't know how it works or how to stop it) www-cdn.anthropic.com/d00db56fa754a1…
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I’ve had a number of conversations with folks inside and outside government about the current situation with Anthropic, and here is what I believe to be true:
— As we know, Anthropic publicly released its Mythos class models earlier this week under the commercial name Fable.
— Fable is Mythos with guardrails. But if those guardrails fail, then you’ve exposed Mythos and its advanced cyber capabilities to people who shouldn’t have them. (Keep in mind that Anthropic itself widely promoted the idea that Mythos was a cyberweapon and needed to be regulated as such. They asked for government regulation of Mythos and championed the guardrails on Fable. If there is a vulnerability — big or small — it is Anthropic’s responsibility to patch.)
— A highly credible trusted partner of both Anthropic and the USG who was testing Fable came forward with a jailbreak of those guardrails. The Admin asked Dario to fix the jailbreak or de-deploy the model. Dario refused.
— In their blog post, Anthropic defended its decision by saying the jailbreak isn’t serious. That is not what the trusted partner and the USG believe; nor is that kind of minimizing language consistent with Anthropic’s brand as the AI safety company. It’s difficult to fathom how they could claim a jailbreak allowing operability of a cyber weapon could be defined as not “serious.”
— In the past, Anthropic has always said that safety must be top priority and taken super seriously. In this case, Anthropic prioritized the continued offering of the consumer model over safety.
— In reaction, the Admin issued the export control. The Admin did this reluctantly. It’s been very surprised that Anthropic hasn’t wanted to cooperate with a reasonable safety request (ie fixing the jailbreak issue). Anthropic’s reaction is very much at odds with their branding and ethos as a safe AI research community.
— The Admin’s hope now is that Anthropic remediates the safety issue, the export control is lifted, and Fable goes back into general release. The Admin wants all of this to happen as soon as possible. It is frankly bewildered that Anthropic hasn’t wanted to comply with safety requests that it previously said were its highest priority.
— Those trying to misdirect and tie this action to the prior DoW/Anthropic issues are wrong. The Admin values Anthropic’s technical capabilities and feels that this issue, while serious, should be easily resolved. The ball is in Anthropic’s court.
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@elder_plinius @CalimanuLoredan Where's the source / model weights for Qwen 3.7 ?
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@dillon_mulroy I’ll do matrix multiplication by hand before I code by hand again
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@MilanPokorn9 @dedene This whole thing is ridiculous. How incompetent are these engineers?
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@dedene Yea, GH needs to fix the tool loading bug ASAP. Copilot loads all the tools on all the requests, even when they are not needed, eating 40k average (for me) per message (not enter press, agent message in a thread)
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Grok foundation model V9-Medium (1.5T) has finished training. Evals look good. A lot of Cursor data was added in supplementary training and there is more to come.
Fine-tuning is underway and reinforcement learning begins in a few days. 2 to 3 weeks to public release.
This will be a major improvement over the 0.5T v8-small that currently serves all Grok production traffic, especially for difficult coding tasks.
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Praxander ری ٹویٹ کیا

Barbara Liskov (Turing Award Winner): "First of all, there were people writing programs in assembler. In assembler you have to use GOTOs. And also compilers didn't do all the kinds of optimizations that they do today.
So there was a concern if you didn't have GOTOs, maybe your program wouldn't be efficient enough.
And then there were people who used GOTOs and wrote really good code, and they were offended that Dijkstra was saying your code is bad.
And Dijkstra was not the most diplomatic person, so he didn't write it in a nice way. You can imagine writing that paper more nicely.
But clearly Dijkstra won the day because no GOTO's."
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Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus
Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).
Only a small fraction actually matter.
@subquadratic finds and focuses only on the ones that do.
That's nearly 1,000x less compute and a new way for LLMs to scale.
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Praxander ری ٹویٹ کیا
Praxander ری ٹویٹ کیا

"so you staked your ETH on the Ethereum blockchain to earn yield?"
"yes, Dave"
"except you didn't want your capital to be locked up so you actually staked it with a liquid staking protocol called Lido?"
"that's correct, Dave"
"and Lido gave you a liquid staking receipt token called stETH in return?"
"yes, Dave"
"and then you didn't think that was enough, so you juiced the yield even further by depositing your stETH receipt tokens into a restaking protocol called Eigenlayer?"
"you are correct, Dave"
"and now you didn't want to lock up your capital, so you actually restaked with a liquid restaking protocol called KelpDAO who provided you with a liquid restaking receipt token called rsETH?"
"you got it, Dave"
"and then that was surely not enough juice, so you then deposited your rsETH tokens into a lending protocol called AAVE so that you could open a leveraged looping position that borrows ETH against the rsETH collateral and restakes the ETH into rsETH which is then deposited as collateral, except it turns out rsETH used a cross-chain bridge called LayerZero whose security is held together by a 1/1 toothpick, which was obviously hacked by north koreans causing rsETH to become undercollateralized and now these looping positions are stuck and unprofitable, and everyone is pointing fingers at each other, and also DeFi is a very serious industry"
"you are 100% correct, dave"
jfc.

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Praxander ری ٹویٹ کیا
Praxander ری ٹویٹ کیا

If you’re looking for a paid summer internship in vulnerability research or exploit development (iOS, Android or network appliance), reach out: careers@IRISC2[.]com
Explain your background and areas of interest
Can be fully remote or hybrid (McLean, VA)
You’ll learn a lot
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Set up my OpenClaw to report people to the IRS for tax fraud.
I get 30% of all proceeds collected by the IRS for my report, here’s what it does:
- Scrapes social media for anyone ‘joking’ about not paying taxes on crypto, gambling, reselling, or cash transactions
- Takes screenshot and records all account information
- Automatically fills IRS Form 211, Application for Award for Original Information
- Files and monitors email for requests for more info & payouts.
I expected to collect over $500,000 this year… and pay taxes on every cent made.

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Praxander ری ٹویٹ کیا

when spacex was getting started, the first and last men to walk on the moon testified before congress against it.
gene cernan told congress commercial space companies "do not yet know what they don't know."
he said the boeings and lockheed martins were "the folks who have been working on everything we've done for the last 50 years. they know how it can be done."
neil armstrong said he was "not confident" the newcomers could achieve their goals.
together with jim lovell they warned it would put america on "a long downward slide to mediocrity."
spacex now launches more rockets than every country on earth combined.
the experts will always tell you it can't be done. build it anyway!




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Praxander ری ٹویٹ کیا

HWInfo and CPU-Z both compromised. Millions about to be PWNED!
CPU Z:
hybrid-analysis.com/sample/eff5ece…
HW Monitor:
hybrid-analysis.com/sample/4968501…
Čeština
Praxander ری ٹویٹ کیا

@ulfgardleo @DiarioBitcoin @Joestar_sann I’ve had lots of success with Qwen 3 / Nemotron Nano running locally on 2x 5090’s
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so let me get this straight
all of ai twitter was telling people to buy a mac mini to run openclaw, which is literally just a framework, an orchestration layer that sends api requests to actual ai models. something you can run on a $5/month vps. which is exactly what i do btw
but when google drops gemma 4, an actual large language model that you can run and fine-tune locally on that same mac mini, with no api costs, no subscriptions, no third party dependencies, completely yours under apache 2.0
the ai community is silent
you were buying $800 hardware to run a wrapper but ignoring the actual ai model that would justify that hardware
this tells you everything you need to know about the average iq of ai twitter
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