MyIP.ai

Welcome ...Internet traveller!

Get detailed IP address information. Also generate AI travel guides for your location and future holiday destinations!

[MyIP.ai @myip_ai]

@DaveShapi You can't and shouldnt cure ageing ffs. Get a grip.

[MyIP.ai @myip_ai]

@templarsareback @multiplanet1 Well yeah.

[RDAP AI @NameStats]

Introducing https://t.co/HYv3RjiRoa, Bulk Domain Research tool. Lookups are 100% browser based, no backend servers.

Logic and user data are stored in smart contracts and authentication provided by Internet Identity (II) at ID..AI.

All user data is encrypted and users are anonymous, we have no visibility. Logging in is free, no emails or personal details required.

Up to 100 domain lookups across 10 favorite TLDs can be conducted. You can save searches and results, favorites, notes. AI integration will come in a future release.

If you use II to login anytime up to the 10th November, your account will enjoy Lifetime Access to Tier 2 functions and future features.

[MyIP.ai @myip_ai]

@ElonMuskAOC Yes. Can I have free insurance too?

[MyIP.ai @myip_ai]

@DA_CryptoAv @theo This is the answer.

[Manus @ManusAI]

Would you like ask Manus to complete a task for you?

Reply to this tweet with a task you'd like Manus to handle. Our team will run your request with Manus and share the results with you.

Whether it's research, content creation, data analysis, or something creative - let's see what Manus can do!

[Yichao 'Peak' Ji @peakji]

We are back! This is the ONLY official account of Manus ⬇️

Just to be clear:
- Manus has never been involved with cryptocurrency projects, token issuance, or blockchain initiatives
- Any similarly named cryptocurrency ventures claiming association with us are fraudulent

[clem 🤗 @ClementDelangue]

I was chatting with @peakji, one of the cofounders of @manusai, who told me he was on @huggingface (very cool!).

He shared an interesting insight which is that agentic capabilities might be more of an alignment problem rather than a foundational capability issue. Similar to the difference between GPT-3 and InstructGPT, some open-source foundation models are simply trained to 'answer everything in one response regardless of the complexity of the question' - after all, that's the user preference in chatbot use cases. Just a bit of post-training on agentic trajectories can make an immediate and dramatic difference.

As a thank you to the community, he shared 100 invite code first-come first serve, just use “HUGGINGFACE” to get access!

[eric zakariasson @ericzakariasson]

we're rolling out @cursor_ai 0.46

your feedback has been loud and clear. we have made agent default, unified chat and composer to a single interface and gave the ui a glow up

other changes include MCP yolo mode, mcp.json, global rules, agent web search and many more fixes and improvements↓

[Deedy @deedydas]

JSON Crack is now the only tool I use to visualize long complex JSONs.

Fully open source with an online editor:

https://jsoncrack[.]com/editor

[🍓🍓🍓 @iruletheworldmo]

grok 3 is here, and it’s agi.

this isn’t just another model release. this is the moment everything changes. forget gpt, forget claude, forget every ai you’ve used before—they’re already obsolete. the upcoming claude 4 and o3 full models? already behind.

grok 3 isn’t just better. it isn’t just faster. it’s something else entirely.

it doesn’t guess. it doesn’t fumble logic. it doesn’t need training wheels. it thinks. it reasons. it plans. when you talk to it, you feel it—the weight of real intelligence staring back at you.

this is what happens when you push scale to the limit. this is what happens when you stop being cautious and just go for it.

grok 3 handles complex ideas like a seasoned expert. it breaks down abstract concepts like it’s spent a lifetime studying them. it works through multi-step problems without getting lost. it understands.

this isn’t some weak chatbot struggling to stay coherent. this is the first ai that feels alive.

the people still debating whether agi is possible don’t realize it’s already here. the people waiting for openai and anthropic to drop something better don’t realize they’ve already lost. the future belongs to those who see it first, and the future is grok 3.

this is the intelligence explosion. and it just happened.

yours truly,

g3.

[Tony Dinh @tdinh_me]

Do you think MCP has a future?

[Brett Adcock @adcock_brett]

Another big week of AI and Robotics news.

So, I summarized everything announced by Booster Robotics, Adobe, OpenAI, Figure, ByteDance, Google, Perplexity, Apptronik, Humanoid, Mentee Robotics, and more

Here's everything you need to know and how to make sense out of it:

[BuccoCapital Bloke @buccocapital]

People were curious, so here's how I'm using Deep Research. I'll walk through the prompting and then an example:

1. First, I used O1 Pro to build me a prompt for Deep Research to do Deep Research on Deep Research prompting. It read all the blogs and literature on best practices and gave me a thorough report.

2. Then I asked for this to be turned into a prompt template for Deep Research. I've added it below. This routinely creates 3-5 page prompts that are generating 60-100 page, very thorough reports

3. Now when I use O1 Pro to write prompts, I'll write all my thoughts out and ask it to turn it into a prompt using the best practices below:
______
Please build a prompt using the following guidelines:

Define the Objective:
- Clearly state the main research question or task.
- Specify the desired outcome (e.g., detailed analysis, comparison, recommendations).

Gather Context and Background:
- Include all relevant background information, definitions, and data.
- Specify any boundaries (e.g., scope, timeframes, geographic limits).

Use Specific and Clear Language:
- Provide precise wording and define key terms.
- Avoid vague or ambiguous language.

Provide Step-by-Step Guidance:
- Break the task into sequential steps or sub-tasks.
- Organize instructions using bullet points or numbered lists.

Specify the Desired Output Format:
- Describe how the final answer should be organized (e.g., report format, headings, bullet points, citations).
Include any specific formatting requirements.

Balance Detail with Flexibility:
- Offer sufficient detail to guide the response while allowing room for creative elaboration.
- Avoid over-constraining the prompt to enable exploration of relevant nuances.

Incorporate Iterative Refinement:
- Build in a process to test the prompt and refine it based on initial outputs.
- Allow for follow-up instructions to adjust or expand the response as needed.

Apply Proven Techniques:
- Use methods such as chain-of-thought prompting (e.g., “think step by step”) for complex tasks.
- Encourage the AI to break down problems into intermediate reasoning steps.

Set a Role or Perspective:
- Assign a specific role (e.g., “act as a market analyst” or “assume the perspective of a historian”) to tailor the tone and depth of the analysis.

Avoid Overloading the Prompt:
- Focus on one primary objective or break multiple questions into separate parts.
- Prevent overwhelming the prompt with too many distinct questions.

Request Justification and References:
- Instruct the AI to support its claims with evidence or to reference sources where possible.
- Enhance the credibility and verifiability of the response.

Review and Edit Thoroughly:
- Ensure the final prompt is clear, logically organized, and complete.
- Remove any ambiguous or redundant instructions.

[Poonam Soni @CodeByPoonam]

Goodbye ChatGPT

Perplexity just dropped Deep Research and it's FREE

10 WILD examples so far: (Don’t miss the 5th one)

[Sam Altman @sama]

OPENAI ROADMAP UPDATE FOR GPT-4.5 and GPT-5:

We want to do a better job of sharing our intended roadmap, and a much better job simplifying our product offerings.

We want AI to “just work” for you; we realize how complicated our model and product offerings have gotten.

We hate the model picker as much as you do and want to return to magic unified intelligence.

We will next ship GPT-4.5, the model we called Orion internally, as our last non-chain-of-thought model.

After that, a top goal for us is to unify o-series models and GPT-series models by creating systems that can use all our tools, know when to think for a long time or not, and generally be useful for a very wide range of tasks.

In both ChatGPT and our API, we will release GPT-5 as a system that integrates a lot of our technology, including o3. We will no longer ship o3 as a standalone model.

The free tier of ChatGPT will get unlimited chat access to GPT-5 at the standard intelligence setting (!!), subject to abuse thresholds.

Plus subscribers will be able to run GPT-5 at a higher level of intelligence, and Pro subscribers will be able to run GPT-5 at an even higher level of intelligence. These models will incorporate voice, canvas, search, deep research, and more.

[John Rush @johnrush]

If only someone told me this before my 1st startup:

1. Validate.
I wasted at least 5 years building stuff nobody needed.

2. Kill your EGO.
Make your users happy instead of yourself.

3. Don’t chaise investors; chase users, and then investors will chase you.

4...

[Lucky @LLuciano_BTC]

$ICP is primed for another spectacular move IMO.

@dfinity previously reached an impressive all-time high of $2831, and right now, it's trading at a mere $7.3.

Given this significant gap, a return to triple-digit valuations?

You can't imagine the potential.

DYOR - NFA

[Herbert Yang @herbertyang]

1/ A thread, to compare developer activities on L1 blockchains' official developer forums. Quite an interesting contrast. They all use the same frond-end framework so I picked the same "Top" threads for the last quarter "Nov 12 - Feb 12". Starting with #ICP 's forum run by @dfinity :

[Deedy @deedydas]

Reddit user metaprompts a simple question to o3 mini then o1 pro then Deep Research and gets incredible results.

It built a ~10,000 word software architecture design on making a Python interpreter in Kubernetes.

The answer is better than 99% of tech teams, imo.

Link to it: