Just a month ago there was no
- Opus 4.5
- NanoBanana pro
- GPT 5.2 or
- Gemini 3.0
- Grok 4.1
Never before in human history have we accelerated at this speed….
We are definitely living in the singularity
Important thread on AGI from Anthropic researcher:
- we're likely to see AI solving real open research problems in math in the next months
- by 2027, models could complete a full day's software work with 50% success
- compute power might grow 10,000x in the next five years
- we are still early in the AI exponential... small interventions early in exponential growth have huge consequences
- within a few years, AI may surpass humans on all intellectual tasks
Most of coding was never about writing code.
AI is just making this more obvious.
You no longer need to recall syntax, function structure, boilerplate code, or even API endpoints.
That’s the easy part and AI is very good at it.
The hard part was never typing. It was always thinking.
And it still is.
Monthly cost
🇺🇸 US developer - $9000
🇨🇳 Chinese developer - $3000
🇻🇳 Vietnamese developer - $1000
🇮🇳 Indian developer - $800
In short, for a US tech company - you either pay 11X more monthly for employees & hire US developers. Or start building offices in India, Vietnam or China.
LIVE NOW - The Ether Machine: How ETH Becomes the Internet’s Reserve Currency
@AK_EtherMachine and @dfmerin join us to unveil @TheEtherMachine— a bold new strategy to make ETH the internet’s reserve currency.
We unpack their ambitious plan to acquire and actively manage hundreds of thousands of ETH, why they believe ETH is more than just a treasury asset, and how institutional capital can finally understand and tap into Ethereum’s full potential. From staking and restaking to DeFi yield generation and Wall Street education, this episode explores why Ether is not just digital oil—it’s the engine of the next internet.
--------------
TIMESTAMPS
0:00 Intro
1:32 How Much Ether?
4:57 Other ETH Treasuries
9:41 Ether Machine
12:46 ETH vs BTC
17:27 Ether Machine DeFi Strategy
21:14 Explaining ETH to Wall Street
26:01 How Big is ETH?
28:14 ETH ETFs vs Ether Machine
37:13 Andrew’s Journey
40:54 Gensler’s SEC Era
43:30 Michael Saylor of ETH?
49:29 Decentralization Worries
52:09 ETH’s Narrative Problem
56:47 The Institutional Cycle
1:00:41 Closing
life in a nutshell:
school → college → job → bike → car → house → married → kids → office → home → office → home → office → home → office → home......→⚰️
...and yet, you measure your worth by someone else's offer letter.
woke up early on a saturday to have a couple of hours to try using our new model for a little coding project.
done in 5 minutes. it is very, very good.
not sure how i feel about it...
What a crazy week in AI 🤯
- Perplexity Comet
- Grok 4 SOTA model
- Mistral Devstral Models
- Google Veo 3 Image Input
- Context first AI Office Suite
- Microsoft Research BioEmu
- Kimi K2 Open-Source Agentic
- Flux Kontext Composer & Presets
Here’s EVERYTHING you need to know:
gm and happy friday! from Berlin Blockchain Week to PublicAI's fundraise announcement (@PublicAI_), with some phenomenal growth on Phala Network (@PhalaNetwork) and NEAR Intents (@near_intents) it's been a great week for the NEAR Ecosystem 💪
what did you ship this week?
what if you could have an AI trading companion that would signal trade opportunities real time?
I onboarded my designer friend to @cursor_ai and we vibe coded an app in 30 mins
we used playwright where a browser agent would automatically take screenshots every 5-10 seconds of any token url
it would send the analysis to claude to look for trade patterns
send it to a trading engine and then make a trade suggestion
then it would provide upward/downward trend predictability and simulate a trade
Phala × PublicAI: Building Trustworthy AI from the Ground Up
Phala and @PublicAI_ are teaming up to fix AI’s biggest problems: ❌trust, ❌privacy, and ❌transparency in training data.
Here’s how TEE + decentralized data annotation changes everything.
🧵
The goal of @PhalaNetwork is creating safe and secure AGI
With that Phala 2.0 has 4 key offerings:
1. Confidential Virtual Machines: Keep your data private, always.
2. Verifiable GPU TEE Inference: Trustworthy AI computations, without compromise.
3. MCP Server Hosting: Your secure hub for decentralized operations.
4. AI Agent Hosting (with templates): Launch your AI agents faster and safer.
The real power? Modularity. You can mix and match these components to perfectly fit your specific needs.
we dropped the price of o3 by 80%!!
excited to see what people will do with it now.
think you'll also be happy with o3-pro pricing for the performance :)