SF Startups guard their cap table, their code, their roadmap,

then paste all three into a chatbot with a free tier.

𝗢𝗻-𝗱𝗲𝘃𝗶𝗰𝗲 𝗼𝗿 𝗶𝘁 𝗱𝗶𝗱𝗻'𝘁 𝘀𝘁𝗮𝘆 𝘆𝗼𝘂𝗿𝘀. #PrivateAI

🔗 https://x.com/AnumaAI/status/2090785981699956887

Everyone's building an AI moat.

Ours is boring: your data physically isn't on our servers.

Hard to breach what we don't have.

🔗 https://x.com/AnumaAI/status/2090861481407443403

AI labs are filing S-1s now.

Reminder: every model you love answers to a board, a roadmap, and a quarterly earnings call.

Your context shouldn't.
Keep your memory hidden.

🔗 https://x.com/AnumaAI/status/2090921865191559385

Know Your Agent (KYA) will become foundational infrastructure.

An agent needs more than an identity. It needs persistent context, explicit permissions, and an auditable history of what it has done.

That's where private, user-owned memory becomes critical. #PrivateMemory #AIMemory

🔗 https://x.com/AnumaAI/status/2091136540256952519

New model every three weeks. New "GPT killer" every month.

Exhausting if you're loyal.
Free entertainment if you're not.

Stay agnostic. Keep your memory. Let them fight.

🔗 https://x.com/AnumaAI/status/2091215555646673192

Four models. One question.
One summary where they agree and split.

#CouncilMode is basically hiring a panel of experts who bill $0/hour and never do a kickoff call.

𝗧𝗥𝗬 𝗜𝗧. 👉

🔗 https://x.com/AnumaAI/status/2091586248104145346

Instinct’s powerful AI assistant is raising privacy and security concerns.

A tester disconnected the AI from her email at 11am.
At 2pm it summarized her inbox anyway. The emails were already stored in plain text.

"Disconnect" should mean gone.

🔗 https://x.com/AnumaAI/status/2092085674165854231

There is no single “best” AI image generator.

Midjourney for cinematic visuals.
Ideogram for text.
FLUX for photorealism + control.
Recraft for design.
GPT Image for conversational creation.

We tested 10 of them so you don't have to.👇

🔗 https://x.com/AnumaAI/status/2092443621052031435

Everyone has a favorite AI model. Until they try another one. 😂

We tracked 4,471 model switches across real Anuma users. The biggest net losers weren’t necessarily “bad” models.

They were just… not the model people wanted for that task.

Maybe the future of AI isn't picking a winner. Maybe it's knowing when to switch.

🔗 https://x.com/AnumaAI/status/2092628610444128425

13 major AI platforms. One uncomfortable takeaway: The AI you trust with your most personal thoughts may be collecting, sharing, or using more data than you realize.

Privacy isn’t a feature you should have to hunt for in a 40-page policy.

The best and worst AI for your privacy, ranked, and how each handles your data:

🔗 https://x.com/AnumaAI/status/2092820847207571939

Almost all AI apps make the privacy decision for you.

Anuma doesn't.

Open source only → zero third-party data retention
Closed source only → the most capable models
All models → pick per task

You set the rules.
And no matter which model you choose, your chat history and memory stay on your device, all the time.

🔗 https://x.com/AnumaAI/status/2093142181980557741

TGIF to everyone, except our infra guy, who does not observe weekends 😶

🔗 https://x.com/AnumaAI/status/2093353415657095577

What if AI could see the connections in your life that you can’t?

Check out our Memory Graph. It’s how AI gets to know the real you.

🔗 https://x.com/AnumaAI/status/2093485797466931389

Anuma is the private AI that remembers.

It gives open source models like MiniMax, GLM, Kimi and more cross-device memory.

And it makes closed source models like GPT, Claude, Grok, and Gemini more private.

One Private AI memory. Your choice of model.

🔗 https://x.com/AnumaAI/status/2093758658949595174

try for free:

🔗 https://x.com/AnumaAI/status/2093758660623184188

Asked 4 AI models why Nvidia would pay THAT much for Hugging Face. The consensus was surprisingly strong.

It’s not really about the models. It’s about controlling the AI stack.

1. Own the “GitHub of AI”: Hugging Face is where developers discover, download and build with open source models. Own the distribution layer → influence developer defaults → strengthen CUDA.

2. Hedge against OpenAI, Anthropic, Google & Amazon. They’re all building custom chips to reduce Nvidia dependence. Open source AI still needs massive amounts of compute.

3. Get back into cloud. Hugging Face already has a compute rental business. That gives Nvidia another route into cloud infrastructure and potentially a way to absorb idle capacity Nvidia has helped finance.

4. Move up the stack. Nvidia started with chips. Then CUDA. Then networking, systems and infrastructure. Hugging Face pushes them further up into models, software and developers.

But GLM 5.2 raised the most interesting point: Commoditize the complement. Make AI models and

ever deleted a prompt halfway through because you suddenly thought "wait. who reads this" no wrong answers only trauma

🔗 https://x.com/AnumaAI/status/2094107866122576086

AI models come and go. Your memory shouldn’t.

Anuma is the private AI that remembers.

Give MiniMax, GLM, and Kimi memory.
Make GPT, Claude, Grok, and Gemini more private.

Your memory stays yours, no matter which AI you use. And this is how Anuma memory works.

🔗 https://x.com/AnumaAI/status/2094183365947674903

spent 2 hours with an AI. had something great. about to hit publish.

asked "are you sure?" one last time.

it apologized. it made the whole thing up.

brain: officially fried 🍳

🔗 https://x.com/AnumaAI/status/2094455765234753732

Why ask one AI when you can ask them all?

Claude. GPT. Gemini. Different strengths. Different blind spots.

Anuma brings them together so you can get a better answer, faster.

Less hallucination. More verification.

🔗 https://x.com/AnumaAI/status/2094530650875232346

“Mom, can you make me a quiz?”

Sure. 😌

Anuma remembers what your kid is learning and turns it into personalized practice.

One less thing for Mom to do.

🔗 https://x.com/AnumaAI/status/2094818109907440055