Migration will be a multistep process. First those with assets would move, then those in the middle class with jobs, who would follow the job founders/creators. Lastly, those without meaningful assets, skills, work ethic, would just riot wondering where "their" free stuff went...

.@NVIDIA open-sourced Isaac GR00T robot foundation models — robots trained on it understand natural language and execute complex multistep physical tasks. @BostonDynamics and @CaterpillarInc are already on it. The robot software stack just got a lot more accessible. #Robotics #PhysicalAI blogs.nvidia.com/blog/nation…

LC-MS analysis of polyclonal human anti-Neu5Gc xeno-autoantibodies immunoglobulin G Subclass and partial sequence using multistep intravenous immunoglobulin affinity purification and multienzymatic digestion eurekamag.com/research/054/0…

I discovered this when making @HibbertMed with Claude Opus 4.5.... there is just a ton of knowledge in those neural nets. And it takes some coaxing to bring it out (for me, a multistep process to generate the medical articles). I don't think anyone really knows how much data can be stored in data structures that extend into thousands of dimensions, probably one of the reasons the human brain has almost unlimited storage as well.

Hands-on with Siri AI: successfully executed multistep prompts, understood context well, has strong guardrails, and seems a bit more dispassionate than Gemini 🦞 connect your agent: techsnif.com/agents source: theverge.com/tech/947432/sir…

Siri AI handles multistep prompts and context with strong guardrails in hands-on testing

The infographic is really good! 👍 That’s right. Prompt Engineering is like writing better instructions, but Harness Engineering is what makes AI agents a powerful and reliable system in the real world. Good prompts only make the model “smarter in one answer”. A good harness makes the agent can: • Remember the old context • Use tools correctly • Recover by yourself if there is an error • Result evaluation • Work on multistep tasks with reliability This is similar to the difference between “cook who is good at following recipes” vs “chef who organises the entire kitchen team inventory quality control”. The future of AI is not just a bigger model or a more advanced prompt, but a system around a powerful model. Thank you for the insight, Mahnoor! 🔥

Scattered info like large data entry where you don’t know what you want same with retreival in that case Or multistep things that are hard and annoying Or messy shit like organizing finances, people would rather say “I spend x on y today” and thats it everything happens for

it's even better on open problems, mostly due to bredth of thinks it analyzes at the same time which I havent seen in any model before as it was usualy a most common pitfal that models became narrowminded with time and context when fable is able to more easyly get back to form on long context, have ready multistep analysis which I don't see being done (latent procesing?) it really seems unusual like some unique architecture element Qwen had some pararel scaling training/inference and I also tried pararel decoding it has a nice flawour of outputs but I didin't have $ to test it on large enough model (even Q27B) to compare effects

Your first sentence summed it up… they said he didn’t have a plan when he legit had a multistep plan that was well thought out and could actually be executed…

Succesfully working towards abolishong multistep pain medication procesess#DianneNukk BackInjuries Needs CVS Wyckoff Pharmacists Help, Please! Backorders for patient and Washington Heights Rite Aid Reg Neil Caraccio are hurting My family. This is a glorioua day and thank u CVS employees in NJ. TY Richard Yeong, C. Maldanado and Sisters Up front - Extra Care? Yes

my friend doesnt know yet but hes getting yet another substitute birthday gift (because creating stuff takes forever when its a multistep process) so heres miku wishing him a happy belated birthday

Crypto still feels like tab overload and second guessing? I tried the @heyaura beta as a wallet copilot and it actually reducec work What stood out • portfolio scan with clear explanations • yield across chains with ready to sign txs • route comparison with crosschain aggregation and better quotes • risk flags and exposure stress tests • swaps and bridges prepped as a multistep plan I could approve • fast private execution with zero gas on supported flows The win is control. Aura plans, you sign. Stake 300 $ADX to unlock full access. And the push toward identity and reputation hints at smarter trust across the ecosystem

Crypto still feels like tab overload and second guessing? I tried the @heyaura beta as a wallet copilot and it actually reducec work What stood out • portfolio scan with clear explanations • yield across chains with ready to sign txs • route comparison with crosschain aggregation and better quotes • risk flags and exposure stress tests • swaps and bridges prepped as a multistep plan I could approve • fast private execution with zero gas on supported flows The win is control. Aura plans, you sign. Stake 300 $ADX to unlock full access. And the push toward identity and reputation hints at smarter trust across the ecosystem

Things are turning. Adoption and that singularity event. Over the past month or so I put my head down and focused on becoming proficient in Claude Code. Subscribed to Claude Pro. Sat there for a week trying to think of a project. (This is the wrong way to approach it but bear with me) I started with a project and it was a disaster 😂 So many loose ends. I didn’t have a clear vision. I scrapped it. A week gone because I didn’t want to upgrade or buy more tokens lol. 5 hour rule kills me btw! I got focused. Started small and built on top of it piece by piece. Got to the final mile and took about a week to fine tune it. Learned about setting up my MacMini and creating a tailscale VPN. I was so proud! Then Fable 5 came out and I upgraded to Max. And I build my second, more complex project, integrated into my new app. Did it in 2 days. All those things I took a month to learn don’t even matter anymore 😂 Now, I just build them as I work. It is always to automate multistep workflows. This is the play. Took me a month to figure out! Those builds are even better than my app. And I’m not just sitting there trying to think of what to build, I just build as I go. Code adoption is going to take off. Data centers are a commodity. The power wall is here. Don’t let the chop take your conviction. The race is on.

There used to be a few intellectual baselines we all knew: Don’t eat your own shit Don’t have sex with a sibling Don’t punch yourself in the nuts Don’t vote for a NAZI Honestly we aren’t talking multistep brain processing

One Fluton update that deserves more attention: Most privacy projects are focused on hiding transactions. @FlutonIO roadmap is moving toward something bigger: • Private swaps • Private bridging • Private lending • AI assisted intent execution • Multistep encrypted execution

made something similar yesterday with Fable 5: a multistep workflow, extracting beats from prose, converting them to json prompts that open and edit on a browser, save, then send them to comfyui for generation. All done with LM Studio server powering phase 1 & Comfyui for phase 2

𝗦𝘁𝗼𝗽 𝘂𝘀𝗶𝗻𝗴 𝗖𝗹𝗮𝘂𝗱𝗲 𝗹𝗶𝗸𝗲 𝗶𝘁’𝘀 𝟮𝟬𝟮𝟰. “Write in short sentences. My audience is founders. No bullet points. Match my voice.” You should not be typing this every single time. Claude now lets you store your preferences, context, workflows, and recurring instructions so it works more like a trained collaborator, not a blank chatbot. Here are the 𝟭𝟵 𝗿𝘂𝗹𝗲𝘀 𝘁𝗼 𝗴𝗲𝘁 𝗳𝗮𝗿 𝗺𝗼𝗿𝗲 𝗼𝘂𝘁 𝗼𝗳 𝗖𝗹𝗮𝘂𝗱𝗲: ━━━━━━━━━━━━━━ 𝟭. 𝗦𝗲𝘁𝘂𝗽 ⚙️ ➤ 𝗧𝘂𝗿𝗻 𝗼𝗻 𝗠𝗲𝗺𝗼𝗿𝘆 So Claude does not start from zero every time. ➤ 𝗨𝘀𝗲 𝗢𝗽𝘂𝘀 𝗳𝗼𝗿 𝗺𝗼𝘀𝘁 𝘀𝗲𝗿𝗶𝗼𝘂𝘀 𝘄𝗼𝗿𝗸 Unless you are truly optimizing for speed. ➤ 𝗘𝗻𝗮𝗯𝗹𝗲 𝗘𝘅𝘁𝗲𝗻𝗱𝗲𝗱 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 Especially for complex, multistep reasoning. ➤ 𝗖𝗵𝗼𝗼𝘀𝗲 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗺𝗼𝗱𝗲 Chat to think. Code to build. Cowork to automate. ━━━━━━━━━━━━━━ 𝟮. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 🧠 ➤ 𝗨𝗽𝗹𝗼𝗮𝗱 .𝗠𝗗 𝗳𝗶𝗹𝗲𝘀 Style guides, customer profiles, brand rules, positioning notes. ➤ 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝘆𝗼𝘂𝗿 𝘁𝗼𝗼𝗹𝘀 Let Claude work directly with Notion, Gmail, and more. ➤ 𝗖𝗿𝗲𝗮𝘁𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗳𝗼𝗿 𝗿𝗲𝗰𝘂𝗿𝗿𝗶𝗻𝗴 𝘄𝗼𝗿𝗸 Add your rules, examples, and context once. ➤ 𝗢𝗻𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 = 𝗼𝗻𝗲 𝗰𝗹𝗲𝗮𝗿 𝗷𝗼𝗯 “Client proposals” works. “Marketing” is too broad. ━━━━━━━━━━━━━━ 𝟯. 𝗣𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴 ✍️ ➤ 𝗦𝗵𝗼𝘄 𝗖𝗹𝗮𝘂𝗱𝗲 𝘄𝗵𝗮𝘁 𝗴𝗼𝗼𝗱 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲 Give examples of successful outputs and outcomes. ➤ 𝗔𝘀𝘀𝗶𝗴𝗻 𝗮 𝗿𝗼𝗹𝗲 “You are a senior recruiter.” “You are a sharp product marketer.” ➤ 𝗨𝘀𝗲 𝗽𝗿𝗲𝗰𝗶𝘀𝗲 𝗰𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀 “Ask no more than 5 questions” beats “don’t ask too many questions.” ➤ 𝗔𝘀𝗸 𝗳𝗼𝗿 𝟱 𝗼𝗽𝘁𝗶𝗼𝗻𝘀 Do not force one “perfect” answer too early. ━━━━━━━━━━━━━━ 𝟰. 𝗜𝘁𝗲𝗿𝗮𝘁𝗶𝗼𝗻 🔁 ➤ 𝗜𝗳 𝗖𝗹𝗮𝘂𝗱𝗲 𝗰𝗮𝗻’𝘁 𝗲𝘅𝗽𝗹𝗮𝗶𝗻 𝗶𝘁 𝗹𝗶𝗸𝗲 𝘆𝗼𝘂’𝗿𝗲 𝟭𝟬, 𝗶𝘁’𝘀 𝗻𝗼𝘁 𝗿𝗲𝗮𝗱𝘆 Clarity is the real quality check. ➤ 𝗖𝗿𝗲𝗮𝘁𝗲 𝗲𝗱𝗶𝘁𝗮𝗯𝗹𝗲 𝗱𝗼𝗰𝘀 𝗼𝗿 𝘁𝗿𝗮𝗰𝗸𝗲𝗿𝘀 𝗶𝗻𝘀𝗶𝗱𝗲 𝘁𝗵𝗲 𝗰𝗵𝗮𝘁 Use Artifacts instead of scattered back-and-forth. ➤ 𝗡𝗲𝘃𝗲𝗿 𝗮𝗰𝗰𝗲𝗽𝘁 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗱𝗿𝗮𝗳𝘁 The second or third pass is usually where the value appears. ➤ 𝗧𝗲𝗮𝗰𝗵 𝗶𝘁 𝘁𝗼 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝘆𝗼𝘂 Claude agrees too easily by default. Tell it to push back, question assumptions, and flag weak thinking. ━━━━━━━━━━━━━━ 𝟱. 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ➤ 𝗦𝗮𝘃𝗲 𝘆𝗼𝘂𝗿 𝗯𝗲𝘀𝘁 𝗽𝗿𝗼𝗺𝗽𝘁𝘀 Good prompts are reusable assets. ➤ 𝗜𝗻𝘀𝘁𝗮𝗹𝗹 𝗖𝗹𝗮𝘂𝗱𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 Use them for research, writing, analysis, and repeatable workflows. ➤ 𝗕𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗰𝘂𝘀𝘁𝗼𝗺 𝗦𝗸𝗶𝗹𝗹𝘀 For recurring tasks like: “Anti-AI content checklist” “Founder post sharpener” “Investor update reviewer” ➤ 𝗦𝗲𝘁 𝗖𝗹𝗮𝘂𝗱𝗲 𝘂𝗽 𝗽𝗿𝗼𝗽𝗲𝗿𝗹𝘆 𝗼𝗻𝗰𝗲 So you stop wasting time repeating yourself forever. ━━━━━━━━━━━━━━ Most people are still using Claude as a chatbot. The real leverage begins when you use it as a 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘀𝗲𝗱 𝘄𝗼𝗿𝗸 𝘀𝘆𝘀𝘁𝗲𝗺. Follow @vishisinghal_ for more such posts