Full-time Python Engineer - Sharing daily insights on Python, ML and AI. - DM/[email protected] for collaboration - Open for opportunities
Remote
Joined July 2022
- Tweets6.7K
- Following223
- Followers104K
- Likes10.6K
Python Space retweeted
Don't waste your time, just use graphify skill to turn your codebase into an interactive map.
Now available to all @perplexity_ai
Computer users for FREE.
The Graphify skill by @graphify is now in Computer's skills marketplace, available to all Computer users.
Turn a codebase into an interactive map of its files, functions, and dependencies.
Tasks that use /graphify are free through October 31, up to 5,000 credits per user.
Python Space retweeted
AI tools are everywhere, but direct access to Seedance on Dreamina for $0.29 definitely caught my attention. Register through my official partner link to get the offer:
dreamina.capcut.com/pricing/…
#DreaminaOnly29Cents #Dreamina #DreaminaPartner #Seedance
Python Space retweeted
Now you can run Perplexity Computer fully local on your Mac!
No wifi needed.
works with Mac apps and 100% local.
https://xitter.cf/t.co/z4KSTY1QrM @AravSrinivas
Python Space retweeted
You're deep in a content draft when you remember a client needs a follow-up.
You won't stop to open a reminders app. You'll tell yourself you'll remember. Then you don't.
That's where SpeakON makes sense to me. Say it out loud, and the agent helps set the reminder.
Voice Keyboard and Notes capture the thought. Agent helps you act on it.
The useful part isn't voice typing. It's going from saying something to getting help with the next step, without breaking focus.
For anyone juggling clients and content, that gap is where things slip.
we crushed a keyboard.
its retirement party got a little out of hand.
for years, it was there for every email, every plan, every “just one more thing.” a loyal colleague. a very loud colleague.
but your ideas move faster than your fingers.
and somewhere between knowing what you want to do and typing it all out, a quick task becomes another thing taking up your afternoon.
meet SpeakON AI Agent.
start with what you need, in your own words. less time behind a blinking cursor. more room to move things forward.
the keyboard had a good run.
now, let’s give your voice a turn.
THE LAST KEYSTROKE is here. watch the film, then tell us: what’s the first task you’d hand over?
speakon.app/x
Disclaimer: The calling feature is still in beta and will be available soon. All other Agent features are available now, with ongoing improvements.
Python Space retweeted
The team behind Google's Gemini and Apple's MM-1 just released their first model.
Meet Glimpse from @ElorianAI 👁️
Text models went superhuman at code. Images and video are still hard.
Elorian is a whole lab built for Visual Thinking, and Glimpse is the first result.
→ Reasons over charts
→ Counts under trick conditions
→ Understands why a video clip is funny
→ Labels every subtask in robotics videos
Free chat access. API is live.
Python Space retweeted
This is not AI, but the incredible engineering efforts by @Tesla
Python Space retweeted
X is offering $5000 for posting 15 videos!
Looks like X is coming for YouTube.
Python Space retweeted
Chat models generate messages.
Decision models make decisions.
Workflow models execute entire workflows in a single API call.
Stop writing orchestration loops around your LLM.
TypeLLM is a workflow model. You declare the decisions, their types and what depends on what. It runs the whole graph in ONE API call.
Think SQL for AI workflows.
Support ticket example:
→ Classify category + urgency in parallel
→ Refund only runs if billing
→ Reply reads category + urgency
Four steps. One call. Typed results.
vs four serial calls:
→ 2.1x fewer input tokens
→ ~1.9x faster
Python Space retweeted
Chat models generate messages.
Decision models make decisions.
Workflow models execute entire workflows in a single API call.
Meet @TypeLLM the workflow model
Chat models generate messages.
Decision models make decisions.
Workflow models execute entire workflows in a single API call.
Stop writing orchestration loops around your LLM.
TypeLLM is a workflow model. You declare the decisions, their types and what depends on what. It runs the whole graph in ONE API call.
Think SQL for AI workflows.
Support ticket example:
→ Classify category + urgency in parallel
→ Refund only runs if billing
→ Reply reads category + urgency
Four steps. One call. Typed results.
vs four serial calls:
→ 2.1x fewer input tokens
→ ~1.9x faster
Python Space retweeted
Embedding Gemma 2 by @Google is trending on @huggingface!
Well deserved place for Embedding Gemma 2.
Python Space retweeted
Google DeepMind is giving Free access to Highest-tier Antigravity for 6 months!
Apply link 👇
Python Space retweeted
Google DeepMind is giving 10,000 scientists free highest-tier access to Antigravity for 6 months.
This is the agent-first coding platform now running Gemini 4 Argon. Solid chance to push real research workflows without the usual usage limits.
Apply if it fits your work.
We are offering 10,000 scientists the highest usage tier in Google Antigravity free of charge for 6 months. Please apply! forms.gle/WvmBbPvRbpKG1BPn9
Python Space retweeted
Gemini 4 Argon is globally available!
This is built to solve the hardest problems from start to finish.
Python Space retweeted
Microsoft's largest investment in custom silicon!
Meet Maia 300: Delivers 40% more tokens per watt than leading GPU systems.
Already live in the US, Europe, and Australia.
@Microsoft
Introducing Maia 300, Microsoft’s next-generation accelerator. Building on the magic of Maia 200, it delivers 40% more inference tokens per megawatt compared to leading GPU-based systems, and up to 7x the rack-scale token throughput of Maia 200. It’s another step toward rethinking innovation and unlocking new possibilities.
Discover how Maia 300 will help co-create what’s next for Microsoft’s infrastructure and technology: aka.ms/Maia300
Python Space retweeted
This is build with Google's EmbeddingGemma 2 model!
100% Local and FREE!
Python Space retweeted
Microsoft Decision 1 Model is Insane!
Meet Microsoft-Decision-1 by @Microsoft
A small model built for one job: fast decisions
Routing, classification, agent controls, AI judging. It returns a calibrated probability for every option.
→ Post-trained from Qwen3.5-9B
→ 35x faster than GPT-6 Sol
→ 4.5x faster than the runner-up
→ Top accuracy across 36 benchmarks
→ $0.042 per million input tokens, output is free
