ashith

1.4K posts

ashith

ashith

@0xAshith

Katılım Kasım 2018
391 Takip Edilen35 Takipçiler
reddy2go
reddy2go@reddy2go·
how did i end up here?
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Arnav Gupta
Arnav Gupta@championswimmer·
Most people are sleeping on the fact that Copilot CLI is just better than Claude Code or Codex subscription. 1. You switch between codex and claude in same subscription 2. $39 sub is great value (3-4x usage than $20 plans) 3. the CLI is so good! no flicker and /slash commands work even when model is working. Unlike CC or Codex.
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Daniel Jeffries
Daniel Jeffries@Dan_Jeffries1·
Interesting! Are the agents running the biz or are you just having them help as you run the business? Like are they note taker/researcher/code checkers or are they doing tasks for the business? Interested to know if you feel like sharing. Feel free to DM if you don't want to share publicly as I would love to hear about it. Or share here if you don't mind other folks knowing.
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Daniel Jeffries
Daniel Jeffries@Dan_Jeffries1·
Man, I freaking love OpenClaw. Totally obsessed with it at the moment. It's uneven and janky as hell but mind-meltingly awesome too. Feel the same way about it that I did trying the Internet in the NYU computer lab in 1994 or compiling my first Linux kernel. Slow, weird, kinky, hard and complex, but a glimpse into the future. The first night I played with it on a whim because the family was traveling I just lay in bed staring at the ceiling thinking about it in a daze, completely floored by what one guy had done that so many others had failed to do. He brought together all the little pieces that were out there. Lots of people built agent frameworks (myself included) and yet we forgot one thing every great writer knows: Show don't tell. Answer the question, what can people do with it? Don't tell them, show them. And a personal assistant plugged into everything was the answer. It's a message from the future sent back in time.
Rohan Paul@rohanpaul_ai

This open-source Github repo gives your ClawdBot eyes! 🦞 Real-time AI assistant for Meta Ray-Ban smart glasses. Voice + vision + agentic actions via Gemini Live and OpenClaw Put on your glasses, tap the AI button, and talk: - Gemini sees through your glasses camera and describes the scene - delegates to OpenClaw, which adds it via your connected apps - Can route through OpenClaw to WhatsApp/Telegram/iMessage - web search via OpenClaw, results spoken back The glasses camera streams at ~1fps to Gemini for visual context, while audio flows bidirectionally in real-time.

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ashith
ashith@0xAshith·
@DamonCrockett @Dan_Jeffries1 All of its component parts are nothing new and already present But there is something about this assemblage that feels alive You need to experience it to get what OP is talking abt I use it as a therapist currently among many other things
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Damon Crockett
Damon Crockett@DamonCrockett·
@Dan_Jeffries1 A genuine question because I value your opinion: is it mostly about its potential (and sci-fi coolness), or is this already a useful thing? I definitely learn from frontier LLMs and use coding agents, but I'm having trouble imagining the utility for me here. Likely my failing
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ashith
ashith@0xAshith·
That dignified life part hits hard Everyone is trying to automate all of creative knowledge work (i know its not the people but the data and market forces) And not enough people working on actual problems that can liberate a section and provide dignity It pains me when i see maids in my society segregate sanitary waste from garbage , i really want a solution there
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Rashid K
Rashid K@rashidtky·
Humbled and grateful @anandmahindra sir. Your belief came before the world’s validation. That meant everything to a young team chose real problems over easy paths and a mission over milestones. 300+ Bandicoot Robots. 22 states. Thousands of safer jobs. Dignified life. One purpose. And Singapore just showed us — purpose travels. Building robots engineered for safety, mobility, and dignity. 🇮🇳🤖 #Genrobotics #BandicootRobot #MakeInIndia #RoboticsForGood #SwachhBharat
anand mahindra@anandmahindra

Indian deep-tech startup Genrobotics has secured an ₹80 crore contract with Singapore’s water authority to deploy 44 robots for cleaning & inspecting sewer networks over the next two years. The company beat over 600 global firms following an 18-month evaluation. This was particularly satisfying news for me because I invested in them in 2020. And I invested because I was moved by the fact that their motive for starting the company was to create the ‘Bandicoot,’ for ridding the country of manual scavenging. This was not a goal that would deliver them a fast path to an IPO and sky-high valuations & make them extraordinarily rich. But it was a goal that would have a dramatic social impact. Our municipalities were not just robbing workmen of their dignity, but putting their lives at risk. The Bandicoot robot would rectify that. So, to paraphrase Robert Frost: They took the path “…less traveled by / And that has made all the difference” In other words, they created a purpose-led company And the news of their win in Singapore was gratifying because it signals that purpose and profits are not at odds with each other. (Since that win, they also have won a ₹17 crore tender from the Ahmedabad Municipal Corporation (AMC) for the deployment of its advanced Bandicoot Mobility+ robotic sewer cleaning systems.) Startups like Genrobotics that are created with a higher Purpose, are my #MondayMotivation

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ashith
ashith@0xAshith·
@heynavtoor So many fucking AI replies everywhere Its so sad social media is its last leg
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Nav Toor
Nav Toor@heynavtoor·
🚨 Someone just open sourced an operating system for robots. Any robot. One framework. It's called DimOS. An open source OS that lets you program humanoids, drones, robot dogs, and robotic arms the same way you'd write a Python script. No PhD in robotics. No custom firmware. Just code. Here's what it controls: → Quadrupeds: Unitree Go2, Unitree B1, AGIBOT, Dobot → Drones: DJI Mavic, Holybro x500 → Humanoids: Unitree G1, Booster K1, AGIBOT X2 → Robotic Arms: xARM, AgileX Piper, OpenARMs All from one single framework. Here's the wildest part: Connect Cursor or Claude Code to your robot via MCP. Type "move forward 1 meter." The robot moves. You're vibe-coding a real machine. That's it. You now have a robot operating system. Robotics labs spend millions building this kind of software stack. 100% Open Source.
Nav Toor tweet media
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ashith
ashith@0xAshith·
@championswimmer There could be new log cutting machines soon that would cut the would with extreme precision that there is no debris I agree its speculation if we would get machines like that But thats what the machine sellers are all saying
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Jack Shiels
Jack Shiels@shiels_ai·
@sudo_goreng More expensive than other SE Asian cities, bar Singapore. But peaceful generally and business focused. Feel free to DM. I’m plugged into the local AI and biz scene so happy to give advice.
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ashith
ashith@0xAshith·
@haildhruv this is great need to check it out !
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Dhruv
Dhruv@haildhruv·
found a website where you can create, program and test electronic hardware. it already has some featured projects really great if you want to test before building your own hardware
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ashith
ashith@0xAshith·
@tokenbender dude is always a step ahead of even the frontier
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Jamon
Jamon@jamonholmgren·
To reiterate a few things so they don't get lost: 1. I never want to review another agent-produced plan again. Waste of my time, overwhelming, not worth it. It's valuable *to the agent*, but not to me. 2. I will burn all the tokens, run all the tests, do all the validations to make sure that when the work product lands on my desk, it's as good as the agents can make it. My time and energy is the most important thing here. 3. The feedback loop is critical: I'll work on the process, docs, and specs as much as I need to, in order to reap the benefits in future sessions. No more manual guidance via interactive sessions (with the exception of exploratory hacking).
Jamon@jamonholmgren

My current agentic workflow is about 5x faster, better quality, I understand the system better, and I’m having fun again. My previous workflows have left me exhausted, overwhelmed, and feeling out of touch with the systems I was building. They also degraded quality too much. This is way better. I’m not ready to describe in detail. It’s still evolving a bit. But I’ll give you a high level here. I call this the Night Shift workflow.

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ashith
ashith@0xAshith·
@nummanali I can feel the passion from this been awhile since i read something like this Thanks! Now will reread
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ashith
ashith@0xAshith·
@JamesMontemagno @code @VisualStudio Copilot is underrated for the lrice but i dont get why you dont run your stack on public benchmarks to prove that it can fight the best players
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James Montemagno
James Montemagno@JamesMontemagno·
It's now about 1 tool, it is about how you use and orchestrate different tools for different purposes. Everyday I am utilizing my #GitHubCopilot subscription in: - @code for deep visual planning, coding, diff, PR management, - @visualstudio for complex debugging and profiling - @GHCopilotCLILog for crazy fleets and autopilot joy - @GitHub.com for cloud agents and quick insights (mostly from my phone) And often I have projects open in all of them at the same time parallizing work. Oh and you can use your GitHub Copilot Subscription in like 100 other places and in any app you build with the SDK. I subscription, all the places, all the tools.
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ashith
ashith@0xAshith·
@dejavucoder i guess it can be deliberately practiced by just building multiple things people say vibe coding things produces a hollow feeling with no improvement in craft but while vibing you are also making decisions and tradeoff which is perhaps practicing the OP skill?
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sankalp
sankalp@dejavucoder·
its a good exercise to work backwards from this tweet and think on what you can do next / start doing/thinking differently in order to develop the ability to think ahead. it applies to pretty much all builders i feel. building has become fast so practicing decision making on what to build next or double down/eliminate is a good idea.
signüll@signulll

the most underrated hire right now is a great product person. when i say product person i'm def not talking about a product manager. perhaps i think there has to be somewhat of a new role. i don't have a good name for it yet but maybe something like "product thinker".. someone with an intuitive grasp of the product as it exists, where it's soft, where it sings, & how to iterate it toward something even sharper. in some sense, this person has to cohesively hold in their head where this product should be 2 years from now & work backwards from that. i say this cuz when building was hard, engineering was the bottleneck & the status hierarchy often reflected that. building is no longer hard. which means the variance in outcomes has shifted almost entirely to judgment on what to build, how to sequence it, & how to talk about it. & the story matters as much as the thing. internally, it organizes the team around a shared model of why. externally, it shapes the interpretive frame users bring to their first experience. you can't retrofit narrative onto a product & expect it to land, it has to be load bearing from the start. the rarest version of this person sits at the intersection of culture & deep technology. someone genuinely bilingual. they know what's technically possible & they know which cultural currents are real vs. ephemeral. that combo is what separates products that feel inevitable from products that feel assembled. before ppl clap back with this person has always been valuable, i know.. i am just saying now they might be the most *important* person in the room. their value compounds like never before.

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ashith
ashith@0xAshith·
@AkashicMarga yes i am aware of that the oseries models had their thinking tokens hidden so that the chinese couldnt create datasets and distil the models i was confusing 2 different things sorry
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Akash Singh
Akash Singh@AkashicMarga·
@0xAshith i don't think so as most the models generate thinking/reasoning tokens, you can get this by looking at intermmediate thinking outputs which these models generate, kind of chain of thought but driven by model with outputting thinking tokens.
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Akash Singh
Akash Singh@AkashicMarga·
i was thinking that when we speak or write, we don’t really think in full sentences the whole time. a lot of reasoning happens internally before the words come out. makes me wonder if llms should also reason more in latent space instead of emitting long reasoning tokens.
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ashith
ashith@0xAshith·
@AkashicMarga Are the o series models hidden thinking tokens similar?
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Akash Singh
Akash Singh@AkashicMarga·
Was having a chat about this with chatgpt and few reddits post and google search. came across a couple papers going in this direction:
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Evan Boyle
Evan Boyle@_Evan_Boyle·
Your agent loop is now fully customizable, and you don't have to lift a finger. Also shoutout to my guy @shanselman for sending me this beast of a surface laptop. More Windows dogfooding to ensure Copilot stays best in class in that department.
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Evan Boyle
Evan Boyle@_Evan_Boyle·
Next week we're shipping extensions in Copilot CLI. The agent can write and hot reload its own typescript extensions that define custom tools, hooks, etc. Here is an extension that renders an interactive canvas in the browser based on what you're working on.
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ashith
ashith@0xAshith·
@reddy2go Man wont be able to attend due to hospital business Apologies Hope there is a next ttime!
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Burke Holland
Burke Holland@burkeholland·
@RyanCaldwelll What did you tell me?!? I still don't think GPT 5.x is better. I can be convinced but my lived experience is that Opus is GOATed. Sonnet 4.6 is crazy good too.
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Burke Holland
Burke Holland@burkeholland·
GPT 5.4 finishes BEFORE Opus and Sonnet? WHAT?
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