Parth Barot

@brookssaidaz @claudeai Yeah, it eats up your tokens, generates output which needs a refactoring - even after giving a proper ruleset!

@parthbarot @claudeai I feel ya! Sometimes I wonder if AI models like ClaudeAI get stuck in loops too

If @claudeai will keep using the #tokens like this, we would keep waiting for response and still gets the limits exceeded! When we provide a detailed ruleset, does it get confused and waste tokens? #AI #ClaudeAI #Automation

#Coding was fun. You struggled, you thought, you built hard things from scratch. Open source felt like wizardry. Now? We traded craft for prompts. The struggle was the magic. #AI #BuildInPublic #Programming #TechRant #OpenSource #DeepWork #VibeCoding #SoftwareEngineering

american models are opaque there is no way to introspect anything about how they work or how they're hosted deepseek has released enough information that you can almost retrain their model on your own we're living in some weird upside down times

was waiting for this to come out this is the only angle left to attack open source, it's going to be china fear mongering it's going to be extremely effective as well

@yehhmisi You missed the first one of them all in the world MaaS (Man at a service) 😎

So far we have 👇 SaaS (Software as a Service) PaaS (Platform as a Service) IaaS (Infrastructure as a Service) FaaS (Function as a Service ) BaaS (Backend as a Service) CaaS (Containers as a Service) KaaS (Kubernetes as a Service) DBaaS (Database as a Service) STaaS (Storage as a Service) NaaS (Network as a Service) DRaaS (Disaster Recovery as a Service) DaaS (Desktop as a Service) VDIaaS (Virtual Desktop Infrastructure as a Service) DaaS (Data as a Service) AaaS (AI as a Service) MLaaS (Machine Learning as a Service) DLaaS (Deep Learning as a Service) BIaaS (Business Intelligence as a Service) Did I miss any?

@ShatruganSinha Dear "छैनु" सर... वो लोग ही अलग थे, वो दौर भी अलग था, जब काम से प्यार, और दिखावा कम था! कलाकार की रूह और कलाकारी में दम था, पैसा शायद कम था, पर लोगों में जोश था!

Shall always have great & deep regrets for not being able to work with the 'bestest' filmmaker ever, the only Indian personality who was honored with both 'Bharat Ratna' & the Oscar, legendary #SatyajitRay. Today on his birthday anniversary I pay floral tributes, solemn prayers & remember him with utmost respect. Long Live Satyajit Ray! #BirthAnniversary

@sweatystartup @cathrynlavery How? Give some tangible example.

@cathrynlavery I’m using AI all over my companies.

All the AI hype I’ve yet to see a single person actually show me how they are replacing employees with AI. Show me!!!!!!

For example, you want to build X, but AI builds Y, you spend T (time) in fixing that. Eventually you don't get what exactly is needed, compared to "AI + Manual" approach. Ratio of speed vs quality is important. #productengineering #SoftwareArchitecture

All #VC and #Investors are promoting #AI, is it because they have invested heavily into these companies? What is your experience of building appa using AI? Effort it cuts down is one part, effective product building with tangible user onboarding is another! #Customer #Product

@AiwithYasir Exactly, that's why I always advocate that while learning, use id AI should be prohibited. It's like drugs - once these companies will get you used to it for free/cheap, once u are addicted they charge premium. Let's talk next year when they will increase the prices at least 3X!

🚨Just IN: If you've used ChatGPT for writing or brainstorming in the last 6 months, your creative ability may already be permanently damaged. A controlled experiment just proved the effect doesn't reverse when you stop using it. 3,302 creative ideas. 61 people. 30 days of tracking. Researchers split students into two groups. Half used ChatGPT for creative tasks. Half worked alone. For five days, the ChatGPT group outperformed on every metric. Higher scores. More ideas. Better output. AI was making them better. Then day 7. ChatGPT removed. Every creativity gain vanished overnight. Crashed to baseline. Zero lasting improvement. But that's not the bad part. ChatGPT users' ideas became increasingly identical to each other over time. Same content. Same structure. Same phrasing. The researchers called it homogenization. Everyone using ChatGPT started producing the same ideas wearing different clothes. When ChatGPT was removed, the creativity boost disappeared -- but the homogenization stayed. 30 days later, same result. Their creative range had been permanently compressed. Five days of use. Permanent damage 30 days later. A separate trial confirmed it. 120 students. 45-day surprise test. ChatGPT users scored 57.5%. Traditional learners scored 68.5%. AI reduces cognitive effort. Less effort means weaker encoding. Weaker encoding means less creative raw material. You're not renting a productivity boost. You're financing it with your originality. The interest rate is permanent.

@Authentic1ty @browomo True, all tries with Llama on local is either expensive (to have large model on GPU) or failure. The quality is never comparable with cloud APIs!

@browomo Dude, you're so full of shit. Llama 3.3 70B is 141 GB for just the model. You can't load it at 16-bit on a 64 GB MacBook. At best, he could load 4-bit, and it would essentially be useless for coding.

This Chinese developer launched Llama 70B locally on a MacBook on a plane and for a full 11 hours without internet ran client projects. He was sitting by the window on a transatlantic flight with a MacBook Pro M4 with 64 GB of memory. WiFi on board cost $25 for the flight. He declined. No cloud API, no connection to Anthropic or OpenAI servers, no internet at all. Just a local Llama 3.3 70B on bf16 and his own orchestrator script. The model runs through llama.cpp. Generation speed, 71 tokens per second. Context around 60,000 tokens. Memory usage, 48.6 GiB out of 64. Battery at takeoff, 3 hours 21 minutes. And he gave the orchestrator this system prompt before takeoff: "You are an offline orchestrator running on a single MacBook. There is no network. The only resources you have are local files in /Users/dev/work, the Llama 70B inference server at localhost:8080, and a battery budget of 3 hours 21 minutes. Process the queue at /Users/dev/work/queue.jsonl (one client task per line). For each task: draft → run local evals → save artefact to /Users/dev/work/done/. Save context checkpoints every 12 tasks so you can resume after a battery swap. Stop only on empty queue or when battery drops below 5%." So the system knows exactly what resources it is running on. It knows it has no connection to the outside world for the next 11 hours. It knows it has finite memory and a finite battery. It knows the human will not intervene until the plane lands. The system runs in 1 loop. Takes a task from the queue, runs it through inference, saves the artifact, writes a checkpoint. Task after task, just like that. And only when the battery drops below 5% does the orchestrator automatically pause, waits for the laptop to switch to the backup power bank, and continues from the last checkpoint. Here is what the system actually writes in his log during the flight: "saved context checkpoint 8 of 12 (pos_min = 488, pos_max = 50118, size = 62.813 MiB)" "restored context checkpoint (pos_min = 488, pos_max = 50118)" "prompt processing progress: n_tokens = 50 / 60 818" "task 37016 done | tps = 71 s tokens text → /Users/dev/work/done/proposal_westside.md" Outside the window, clouds, blue sky, and no WiFi. On the tray, 1 MacBook, an open terminal on 2 screens, and an inference server on localhost. From what I have observed, this is the cleanest offline AI workflow I have seen in the past year: 11 hours of flight, $0 for WiFi, and the entire client queue closed before landing.

@elonmusk Waiting for you to launch #Anime unit, only for real anime makers - I can imagine the kind of content created!

Try it out!

The winners in #AI won’t be the ones doing more experiments. They’ll be the ones doing: less use cases → deeper execution → real impact From “let’s try AI” to “let’s run the business with AI” #StartupEcosystem #ProductEngineering #Execution #ScalingUp #TechTrends @BoTreeTech

#AI is not a tool you plug in. It forces you to rethink: • Workflows • Team structure • Decision-making If your operating model doesn’t change, your AI outcomes won’t either. #FutureOfWork #Leadership #Innovation #EnterpriseAI #TechStrategy @BoTreeTech

Most companies aren’t failing at AI. They’re stuck in experiments. PoCs don’t create value. Integration does. AI only matters when it moves: revenue, cost, or product advantage. @BoTreeTech #AI #ArtificialIntelligence #BusinessStrategy #TechLeadership #DigitalTransformation

@kiranshaw @AshwiniVaishnaw @nasscom @nasscomstartups @able_indiabio @BIRAC_2012 @rajesh_gokhale Unfortunately, I disagree. The way #AI world is moving, diff. Countries are putting heavy Investments in research and infrastructure. We are still focused on service, the shift is very bulky given our resource pool and organizational challenges.

Mark my words: What Chinese tech & AI cos did to disrupt the digital tech world over the last decade, Indian tech & AI cos will do over the next decade to disrupt and deploy at scale @AshwiniVaishnaw @nasscom @nasscomstartups @able_indiabio @BIRAC_2012 @rajesh_gokhale Indian AI & tech talent makes this aspiration possible @sundarpichai @satyanadella @elonmusk @nikhilkamathcio

The #AI space is moving too fast, keep updating your stack!

Surat’s streets have a new mystery — a ‘ghost cycle’ that rides itself. Built by 25-year-old Shivam Maurya, this AI-powered innovation pedals, balances, and navigates solo. From a Class 9 terrace experiment to 2M+ YouTube followers, his journey proves curiosity can change everything. No patents, just purpose: to make India a global innovation powerhouse. Would you ride this futuristic cycle or build one yourself someday? Tell us what you think. #Innovation #ArtificialIntelligence #MadeInIndia #TechForGood #FutureTech [Artificial Intelligence Innovation, Self Driving Cycle, Indian Tech Innovation, Robotics Projects India, Future Of Mobility]

@BrentAWilliams2 The answer is simple - Yes, there will be. I also received this from college kids. The way of working would change, and we all need to adopt that. RAW skills would be much valuable anyway, #AI or no AI. We can just be focused and prepared!

One of my daughter's biggest concerns right now is "will there be any jobs left by the time I get done with college", and it seems like no one has a cogent answer.