Amit Tripathi

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Amit Tripathi

Amit Tripathi

@ce_amit

Co-Founder at Shorteefy | We built an AI video clipper that beats a $10M/yr competitor

India Katılım Ocak 2014
52 Takip Edilen124 Takipçiler
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Amit Tripathi
Amit Tripathi@ce_amit·
Tired of Generic Clips from AI video clippers? No more. Introducing Shorteefy (@iamshorteefy) - an AI video clipper that repurposes long-form content into short-form clips without losing your creative voice. Whether you want Control or Speed, Shorteefy adapts to how you create. We have just launched. Give it a try and let us know what you think.
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Amit Tripathi
Amit Tripathi@ce_amit·
@MaziyarPanahi Could you please put some light on memory requirements? What if I want to run it with a CPU, what are the minimum requirements?
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Maziyar PANAHI
Maziyar PANAHI@MaziyarPanahi·
OpenAI's privacy-filter, multilingual. A token classifier built on the openai_privacy_filter architecture: → 54 PII span classes → BIOES labels per token → Viterbi cleanup into clean entity spans → 16 languages Running in the web app + on iPhone/iPad:
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Maziyar PANAHI
Maziyar PANAHI@MaziyarPanahi·
Agent traces leak everything. Emails. API keys. patient IDs. support tickets. incident logs. openmed v1.3.0 can mask or fake sensitive fields locally before traces get shared. Support handoff. Security triage. Safe logs out. How do we make this easier for your agents?
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Amit Tripathi
Amit Tripathi@ce_amit·
I have stopped using Windsurf when they have changed the pricing structure. Earlier it was discrete and I could control how much I want to use a model. Now, daily and weekly limits and I do not know how I am using it If you could give both options - @windsurf - all is good.
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Amit Tripathi retweetledi
Swagat Nayak
Swagat Nayak@beingcarrot·
Update on my previous post: I ordered a ₹3 Lakh RTX 5090 on @AmazonIN and got a 1.56kg packet of detergent. Amazon promised a refund to kill the social media buzz, but they're just stalling. Now, I've uncovered a massive internal FBA fraud ring. Thread @AmazonHelp @AmitAgarwal
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Amit Tripathi
Amit Tripathi@ce_amit·
I recently found a 5 Rs Good Day biscuits packet which is way tastier than any bigger size. It is small in size, baked deep and dark, goes really well with tea.
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Amit Tripathi
Amit Tripathi@ce_amit·
Moved to round 2. Fingers crossed!
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IGP.com
IGP.com@IGPcom·
@ce_amit Hi Amit, Thank you for your response. We have shared an email with the proposed resolution and kindly request you to check the same at your convenience. Please feel free to get back to us.
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IGP.com
IGP.com@IGPcom·
@ce_amit Hi Amit, We're sorry to hear about your experience. We have shared you an email with the proposed resolution, kindly check it at your convenience and revert back so that we can assist you accordingly.
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Amit Tripathi
Amit Tripathi@ce_amit·
After a while I have started using OpenAI model. Too good.
Matt Shumer@mattshumer_

I've been testing GPT-5.4 for the last week. In short, it is the best model in the world, by far. It's so good that it's the first model that makes the “which model should I use?” conversation feel almost over. The biggest surprise: I barely use Pro anymore! If you know me, you know I'm a Pro addict. I reach for Pro models constantly, and use them for almost everything, as they just... nail almost anything I give to them. For the first time, 5.4's standard version, with heavy thinking, just broke that habit. Even in standard mode, GPT-5.4 is better than previous models in Pro mode... crazy! Coding capabilities are ridiculous... it's essentially flawless. Inside Codex, it's insanely reliable. Coding is essentially solved. There's not much more to say on this, it's just THAT good. The Pro version is near-perfect. Other testers I spoke with saw it solving problems that were unsolvable by any other model. At this point, Pro is overkill for almost every normal use-case, but when you really need the power to do something extremely difficult, it's incredible. Consistent with everything I've said above, even the standard thinking version uses fewer reasoning tokens than previous models to get the same level of results. In practice, this means you get great results much faster than before. This was one of my biggest gripes with previous OpenAI models. They just took too long to complete simple tasks. Assuming the speed we had during testing holds up as more users join, this is going to be a big win for OpenAI. It still has weaknesses, though: - Frontend taste is FAR behind Opus 4.6 and Gemini 3.1 Pro. , why is this so hard to fix? @OpenAI once you fix this, there's literally no reason for me to use any other model. Please please please do it! - It can still miss obvious real-world context. For example, I had it plan an itinerary for a trip. At first glance, it looked perfect, but it failed to take into account that it chose locations that would be mobbed by spring breakers, so I had to re-run the prompt from scratch with more context. - When testing it inside OpenClaw, it kept stopping short before finishing tasks. I'm assuming this will be fixed quickly, but it's still worth noting. But zooming out: This thing is so far ahead overall that the nitpicks are starting to feel beside the point. GPT-5.4 is a serious fucking model. The best model in the world. By far.

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Ian Nuttall
Ian Nuttall@iannuttall·
early thoughts on gpt 5.4: - it's very fast! and /fast is the fastest of the fast - replies more like a human that you can understand - it loves to explain - i have to scroll a lot more to see it's full response now (might tweak this down in my AGENTS.md) - performance is as good as codex 5.3 - does sometimes not read files though or makes mistakes codex model didn't - i asked it to do a lint check and it said i didn't have one? when prompted it checked again and ran npm lint - still really bad at frontend. when this can design killer frontends i'll prob cancel anthropic plan
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Amit Tripathi
Amit Tripathi@ce_amit·
Vibe coded project before going to Production
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Amit Tripathi
Amit Tripathi@ce_amit·
Add this to 10× output quality in a coding agent: Think simple and effective way embedded in SWE core principles and brainstorm with stress test to think that it would work in various edge cases.
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Amit Tripathi
Amit Tripathi@ce_amit·
Who would have thought that the function and its form, we studied for finding limits, monotonicity, derivatives, integration, and maxima/minima is one of the most important ACTIVATION FUNCTION in deep learning.
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Google Antigravity
Google Antigravity@antigravity·
Watch Gemini 3.1 Pro ingest a detailed research paper to build a functional Local-First CRDT simulation, visualizing real-time data sync and connection toggling. It bridges high-level theory to a debugged, interactive app in one long-horizon task.
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AshutoshShrivastava
AshutoshShrivastava@ai_for_success·
Google team, please add an option to use a custom API key for Gemini 3.1 Pro in Antigravity. It is frustrating to wait for hours when you are in the middle of a flow.
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