EVIL:/GriN (@_karsh0506) header
EVIL:/GriN (@_karsh0506) profile picture

Thriving upon the curiosity with(in) myself

Joined January 2023
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Replying to @_karsh0506
Personal Update: >2nd year, 3rd sem >Primarily Doing) DSA, OOPs in CPP >In process of finding a team of like minded people to grind with >Currently going through SIH problem statements >Will be participating in multiple hackathons this year >Hmm what else?Ig Just wish me luck
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Lmao here's the comeback and I think soon they'd take a lead against the current frontier
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Makes me think, at this rate every frontier lab will have their own suite Is it good or bad?? Honestly it makes me think how it will affect my workflow while shifting from one to another..
Starting to roll out today: Claude Whiteboards, Claude Sheets and Claude Data. Think a plan through on a board, build a tracker in a sheet, and tell a story with your data.
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So far the only downside holding this back is the intelligence of the bots. Idk how the background routing is working but I think most runs occur on grok models and these dumb models..Even with proper verification loops, on each cloud run they'd smh find a way to mess it up
It's quite convenient to use cloud agents yk > No personal hardware involved > Can just text and review the bots from X itself > Clean interface for everything, minimal clutter
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Like for one of the runs I had, one of my bots pushed a task that was already completed to the bot that was running and whom I had assigned a completely different task..and guess what? That bot accepted it and kept looping around. Wtf was this really?
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Let's see what you've got to show next 👀 It's already getting interesting
Carbon is a great model, but the team is still cooking : )
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Only issue so far is limited access :))
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It's quite convenient to use cloud agents yk > No personal hardware involved > Can just text and review the bots from X itself > Clean interface for everything, minimal clutter
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They really launched carbon on this demo xD Tho it's still impressive honestly :)))
Our strongest frontier model, Gemini 4 Carbon, is now available. Built for deeply complex, long-horizon workflows that push a frontier model’s intelligence, Carbon delivers frontier performance in agentic workflows across complex knowledge work, software engineering and web development, cybersecurity, and scientific reasoning. While Gemini 4 Argon remains the ideal model for the majority of software engineering and knowledge work, Carbon steps in for your hardest tasks that push a model to its limits — from complex, multi-step debugging to open-ended scientific research. Available starting today: — Consumers: use it in the @GeminiApp and AI Mode in Search for Google AI Ultra subscribers — Developers and Enterprises: build via the API in @GoogleAIStudio and @AndroidStudio, Google @Antigravity for Google AI Ultra subscribers, and Gemini for business — Scientists and Researchers: apply for a chance to get 6 months free via @Antigravity — Cybersecurity Defenders: apply to join the Fairwind Program for access to Carbon for cyber Watch how Carbon brings reasoning and coding together, turning avian research into an interactive 3D simulation of a songbird’s vocal organ that synthesizes the sounds of six bird species live.
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Tho the ultra tier cap, can't even try these models :))
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Quite incredible right
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It's still inefficient, and not just that The bots keep getting dumber the more you use them My designer bot kept looping on an already completed task all night. Even when I clearly ran a different task inside a capped verification loop :)))
Just did a round table review with the Grok @Bot engineering team. Fixes are being implemented overnight and you should notice a dramatic improvement by tomorrow. If not, reply to this post and we will address any remaining issues right away.
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Lol no one will look at muse ember, no one will look at the grok bot reset. You're later
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Tells us exactly why anything related to biology/research is locked down by guardrails :))
Replying to @claudeai
Gene therapies can be delivered in a protein shell called a capsid. Mythos 5.2 found a new way to predict a whole capsid’s structure. In our tests, it accurately modeled 28 of the 34 capsids it attempted. Biologists could use it to design capsids faster and more cheaply.
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Switched to codex for a while now :))) What models do you all use for normal daily tasks?
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Did the bubble really pop? Or is it the people that actually want to pop it?
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It has been improving continuously ever since the rebranding and now we get this:
𝕏 just rebuilt its entire web app from scratch, and the performance improvements are absolutely insane On a slow connection, the old 𝕏 web app took 23.9 seconds to display the first post. The new version does it in just 2.7 SECONDS That's nearly 9 TIMES faster Here's what changed: • Three separate web-serving systems, serving users, search crawlers and logged-out visitors, have been consolidated into ONE unified app • On a slow connection, a SpaceX post loads 12.8x faster and the SpaceX profile loads 8.2x faster for signed-in users • Profiles and posts now appear before JavaScript finishes downloading, because the content is already included in the HTML • Just FIVE engineers working alongside SI coding agents built the first version in under six months • Logged-out 𝕏 and search crawlers are already running on the new architecture, while signed-in 𝕏 is being rolled out country by country And the scale of this achievement is extraordinary 𝕏 is the sixth most visited website in the world, serving an enormous global audience across different devices and network conditions This rebuild is bringing dramatically faster loading times, especially for people using slower internet connections And what's even more impressive is that such a small engineering team accomplished this with the help of SI coding agents blog.x.com/en/engineering/re…
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calls the pendant hunt a dead end then teases a thing with no screen that couldn't be an app 👀 it's a pendant isn't it?
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Lmao hitting it right where it hurts
Replying to @realjamesmtz @bot
The cost of serving Grok Bot was unsustainably high relative to revenue
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Let's see what you've cooked this time around 👀
when bend2 launched, some complained about AI usage. in my view, this is only a problem if bugs can occur. the current typescript compiler, for example, has many. I hate it. with well-designed laws, though, that ceases to be a problem. so, for the better or for the worse, bend3 will be 100% AI-written. there is no going back while I was raising, I left a fleet of agents working on bend3, a small scale version of this vision. this was a huge success, beyond my own expectations. opus 5.5 successfully rewrote all of bend in itself, including its compiler, which is now certified, with zero bugs, and already 2x faster (!!). we now have a model of Bend, C, CUDA and the compiler, all written in Bend itself, and properly formalized. with this, we'll soon start the largest proof-driven compiler self-improvement loop in history news on Bend have been slow because I was busy raising, but as soon as this is over, expect updates at a breath-taking place. this is the most exciting thing I've ever done and I can't wait for the big run to start
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Will improve it further
A friend of mine has built something genuinely interesting!! 👀 Meet Bell AI - an AI-powered voice assistant designed to help elderly people live more independently. It makes automated calls to remind them about medicines, medical appointments, and other important tasks, while allowing them to interact through natural voice conversations and confirm task completion. The idea is to make everyday assistance more accessible without requiring elderly people to navigate complicated apps or interfaces. Built by @_karsh0506 @itzdeveshvaidya and @ayeayushh ❤️ Check it out: bellai-app.vercel.app/ Do give it a try and share your thoughts with the team!! 🤝
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open model but the weights are still "planned" , drop them on hf already 👀
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