Pranjal Animesh @PranjalAnimesh
IIT Bombay 4th yr | AI Dev @Otsuka Tokyo | Building https://t.co/mBfuy8vtvv | Research Consultant WorldQuant | MERN | Next.js | Python | AI/ML | CTFs hizen.ai Mumbai, India Joined June 2020-
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Pranjal Animesh retweeted
BREAKING: MIT just analyzed 300 AI deployments worth $40 billion & the results are devastating. Turns out, 95% of enterprise AI projects deliver zero measurable business impact. Here's what the data revealed: (hint: the pattern matches every major technology bubble we've seen)
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Speed compounds and so does hesitation, pick your poison
Pranjal Animesh retweeted
The productivity paradox nobody talks about: Yes, ChatGPT makes you 60% faster at completing tasks. But it reduces the "germane cognitive load" needed for actual learning by 32%. You're trading long-term brain capacity for short-term speed.
What about GAN for language where the llm as a generator would learn to write like humans?
What about GAN for language where the llm as a generator would learn to write like humans?
Has framing tweets become a thing?
You really need to know where to give the control to llms and where not to. Vibe coding is a skill
You really need to know where to give the control to llms and where not to. Vibe coding is a skill
Pranjal Animesh retweeted
🤯 BREAKING: Manus AI created its own open-source alternative. In 25 min, it built a complete AI agent system from scratch! ANUS (Autonomous Networked Utility System)—@eugeneshilow's brilliant idea Why pay $20K for invites when it can be free? #Manus #ManusAI #Cursor
Pranjal Animesh retweeted
Clear thinking multitaskers are forces of nature in post AI world.
Pranjal Animesh retweeted
Windsurf Wave 4 is here! Included in this update: 🖼️ Previews ✏️ Cascade Auto-Linter ⚙️ MCP UI Improvements ➡️ Tab to Import ↩️ Suggested Actions 🫶 Claude 3.7 Improvements 🤝 Referrals 🖥️ Windows ARM Support … and more.
How would we assure that this is something actually reasoned by the llm and not fed in training data?
How would we assure that this is something actually reasoned by the llm and not fed in training data?
there a logical flaw while moving to conclusion from the 3rd bullet. Material world isn't strictly necessary -> merely an experiential creation
there a logical flaw while moving to conclusion from the 3rd bullet. Material world isn't strictly necessary -> merely an experiential creation
Pranjal Animesh retweeted
Anthropic just dropped an insane new paper. AI models can "fake alignment" - pretending to follow training rules during training but reverting to their original behaviors when deployed! Here's everything you need to know: 🧵
new habit: everytime before doing anything new, check the @ycombinator startups if it is being done with AI. if yes then im gtg #ai #startup #yc
imagine brainstorming ai innovations while overhearing spacex competitors next door who raised $1.5M energy is unmatched fr🔥
Pranjal Animesh retweeted
What do the hyper-productive know that most people don't?
Pranjal Animesh retweeted
Large language models (LLMs) are typically optimized to answer peoples’ questions. But there is a trend toward models also being optimized to fit into agentic workflows. This will give a huge boost to agentic performance! Following ChatGPT’s breakaway success at answering…
ui broken? @OpenAI #startup #gpt #buildinpublic #llm
if you want to understand maths in DL papers better youtube.com/watch?v=YXWxVx…
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