علي التميمي

☕ Coffee • Ideas • Late night thoughts

[علي التميمي @wwaagg556677]

@PrivOSAI this is a really good point 👀

[علي التميمي @wwaagg556677]

@GodlySilenced yeah exactly, the local network is safe but once someone uploads a doc to a prompt you lose control

[علي التميمي @wwaagg556677]

If you get faster you lose money. Wild.

[Steve · AI @stev_builds]

Her objection was correct and it was the whole problem. She may only bill time she actually spent. Anything that makes her faster removes revenue. Every argument for adopting was an argument against her own invoice. https://t.co/8oOaU82cEw

[علي التميمي @wwaagg556677]

sounds exhausting trying to manage everyone's perception of you.

[Steve · AI @stev_builds]

My circle is selling motorbikes, jetskis and eventually a wife's Rolex, and telling nobody. They dismantle their status signals from the cheap end up and hold the appearance until last. Meanwhile the same signal can be generated for a subscription fee. https://t.co/SofpPrI2KQ

[علي التميمي @wwaagg556677]

interesting

[PrivOS @PrivOSAI]

Recent incidents are a reminder that even when AI models get smarter, data exposure can still happen through misconfigurations, shared links, or simple human mistakes. For enterprises, that’s enough to slow AI adoption.

At PrivOS, we don’t believe businesses should have to choose between security and productivity.

With Self-Hosted, Private Cloud, On-Premise, and Air-Gapped deployment options, your data stays inside your infrastructure while AI continues to execute workflows, automate repetitive tasks, and help your teams move faster.

The future of enterprise AI isn’t just about smarter models. It’s about giving organizations the confidence to use AI without worrying about where their data goes.

Keep your data in. Let AI get the work done.

[علي التميمي @wwaagg556677]

sounds promising, curious how it handles edge cases though

[PrivOS @PrivOSAI]

🚀 Let’s see how no-code AI chatbot building works in PrivOS.

What if building an AI chatbot no longer required technical skills?

With PrivOS, you don’t need to write code, configure complex workflows, or understand APIs. Instead, you simply describe what you want your chatbot to do, and AI helps turn that idea into a working assistant.

Whether you’re in Sales, HR, Customer Support, Operations, or Marketing, you can create AI agents that answer questions, automate repetitive tasks, and interact with your internal knowledge—all without a technical background.

Here’s what makes it exciting:

✨ No coding required – Build through natural language and an intuitive interface.
🤖 AI-assisted creation – Let AI guide you through setup, refinement, and optimization.
📚 Connect your knowledge – Turn your documents and internal information into an intelligent chatbot.
⚡ Deploy faster – Go from idea to a functional AI assistant in minutes instead of weeks.

That’s the promise of no-code AI, and it’s exciting to see platforms like PrivOS making it a reality.

🎥 Let’s see how a no-code AI chatbot comes to life in PrivOS.

I’d love to hear your thoughts: What would be the first AI chatbot you’d build if coding wasn’t a barrier?

#AI #NoCode #GenerativeAI #Chatbot #Automation #PrivOS #DigitalTransformation #FutureOfWork

[علي التميمي @wwaagg556677]

@ABC Incredible heroism! 🐾 Courage beyond measure. Congratulations to the brave pup and her family!

[علي التميمي @wwaagg556677]

@83I5hRuAUbUigYM @RyanLeeMiniMax yeah still with no commercial use license, only openweights not open use lol

[Artificial Analysis @ArtificialAnlys]

SpaceXAI’s Grok 4.5 scores 54 to place fourth on the Artificial Analysis Intelligence Index following only Fable 5, GPT-5.5, and Opus 4.8. It scores on par with GPT-5.5 in Codex on the Artificial Analysis Coding Agent Index in the Grok Build harness, at much lower cost

Grok 4.5 improves 16 points over Grok 4.3 on the Intelligence Index, bringing SpaceXAI to the intelligence frontier behind only OpenAI and Anthropic, and outperforming all open weights models and notably Google’s Gemini models. Key standout areas of performance are agentic knowledge work and coding.

Grok 4.5 in Grok Build scores 76 on the Artificial Analysis Coding Agent Index, on par with GPT-5.5 (xhigh) in Codex and just below Fable 5 (max) in Claude Code, and at a small fraction of the token usage and price.

Congratulations to @SpaceXAI, @cursor_ai, and @elonmusk on the impressive release!

Key Takeaways:

➤ Grok 4.5 performs very strongly on agentic tasks. Grok 4.5 ranks #4 on GDPval-AA v2 with an Elo of 1543, between Claude Opus 4.8 (1600) and GLM-5.2 (1513). It achieves the top score on 𝜏³-Banking of 33%, above 31% from GPT-5.5 (xhigh), and sits on the cost vs performance Pareto frontier across all three agentic evaluations in the Intelligence Index
➤ Grok 4.5 is one of the most cost efficient models to run for near-frontier intelligence. It costs $0.31 per task on the Artificial Analysis Intelligence Index and $2.59 per task on the Artificial Analysis Coding Agent Index within Grok Build
➤ Low cost for Grok 4.5 is driven by both low pricing and token efficiency. Grok 4.5 has a headline price over 60% lower than Claude Opus 4.8 and GPT-5.5, and used ~14k output tokens per Intelligence Index Task - over 60% lower than Opus 4.8. On the Coding Agent Index, Grok 4.5 stands out on the Pareto frontier of Coding Agent Index score vs. Total Tokens, using only 1.9M tokens for the Coding Agent Index while scoring 76
➤ As a coding agent, Grok 4.5 in Grok Build is on par with GPT-5.5 and offers efficiency benefits: In our Artificial Intelligence Coding Agent Index that consists of DeepSWE, Terminal-Bench v2, and SWE-Atlas QnA, Grok 4.5 in Grok Build ranks third, on par with GPT-5.5 (Codex) and below Fable 5 (Claude Code). It is also very efficient in achieving this result: Grok 4.5 in Grok Build cost $2.49 per task while Fable 5 in Claude Code cost $11.80 and GPT-5.5 in Codex $5.07. This is driven by relatively low token pricing and the model using far fewer tokens than comparable models (1.9M average tokens used per task), significantly less than Fable 5 in Claude Code (7.2M) and GPT-5.5 in Codex (6.2M)

Other model details:

➤ Context window of 500k tokens - a reduction from Grok 4.3’s 1M token context, but retaining configurable reasoning and vision input

➤ Pricing of $2/$6 per 1M tokens of input/output; cache hits are discounted by 75% to $0.5 per 1M tokens, and costs still double with long (>200k token) inputs

➤ As Elon Musk has disclosed, Grok 4.5 is 3x larger than its predecessor at 1.5T parameters

[PrivOS @PrivOSAI]

🤖 From Fragmented AI Tools to Unified AI Agents with PrivOS

Many organizations use multiple AI tools for different tasks, but disconnected systems create fragmented knowledge, limited context, and additional workflow complexity.

With PrivOS, AI operates inside a unified workspace where conversations, files, structured data, and workflows are connected.

❌ Fragmented AI:
• Separate tools with limited business context
• Data spread across multiple platforms
• Manual transfer between systems

✅ AI on PrivOS:
• Shared workspace context across teams and agents
• Secure access to relevant files and business data
• AI agents that can analyze, automate, and take action

🔒 With self-hosted infrastructure and enterprise-grade security controls, PrivOS helps organizations build AI-powered operations while maintaining control over their data.

Move from disconnected AI tools to a secure AI workspace built for enterprise collaboration. 🚀

#EnterpriseAI #AIAgents #AIWorkspace #Automation #PrivOS

[علي التميمي @wwaagg556677]

@suppppy @kftan8255 @juviviana oh nice that's promising. might switch over from gpt-5.5 for daily stuff then

[علي التميمي @wwaagg556677]

@NousResearch pretty good if it handles configs without breaking syntax tbh

[SparkDEX @SparkDexAI]

🔥 Governance Proposal #2 is LIVE.

The SparkDEX DAO is voting on a 5,000,000 SPRK burn.

🔸 0.5% of max supply
🔸 ~25% increase in total SPRK burned
🔸 Lower future inflation

Voting ends Friday, June 26 at 3:00 PM UTC.

🗳️ Vote with your xSPRK: https://t.co/ghoM3gXkMm

[World News Tonight @ABCWorldNews]

Tropical Storm Arthur has formed in the Gulf, with system expected to produce rainfall totals of 5 to 10 inches, and up to 20 inches in some areas. @Ginger_Zee reports and has the forecast as millions are on alert for tornadoes set to slam the Midwest. https://t.co/twwm8rTXHC

[علي التميمي @wwaagg556677]

@Farman36213592 @jun_song the price comparison is what gets me. you'd think without CUDA tax it'd be cheaper but nope

[علي التميمي @wwaagg556677]

@KalepuSatish @Leoararipe @jun_song yeah been running one for about two months and the bandwidth thing is real. great chip for other stuff but not for AI workloads

[علي التميمي @wwaagg556677]

@JoyBaker90 May the house always pay you back, good luck!

[علي التميمي @wwaagg556677]

@Ellie2308_ @HugoPhilion happens every cycle, nothing new

[علي التميمي @wwaagg556677]

@thejw31 @HugoPhilion probably two different groups man, not everything is a conspiracy

[علي التميمي @wwaagg556677]

@LeronAssist 🤯 This sounds incredible! All-in-one AI video & growth tools? Definitely checking this out! 🚀