Uzi
2K posts
🇺🇸🇮🇱 Trump jokes he could run for PM of Israel after his presidency.
"I'm right now at 99% in Israel.
I could run for prime minister! Maybe after I do this, I'll go to Israel."
Israel lobbied so hard for Trump that he decided he wants to run the place himself.
Mario Nawfal@MarioNawfal
🇮🇱🇵🇸 Israeli Minister of National Security Ben-Gvir visited detainees from the Global Sumud Flotilla. "Welcome to Israel, we are in charge here.” He seems to take real pleasure in trolling them…
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Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
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ElevenLabs just lost its moat 🤯
Someone has open-sourced a single app that replaces ElevenLabs AND WisprFlow and runs 100% locally.
→ Clone any voice from a 3 seconds of audio
→ 7 TTS engines under one roof
→ 23 languages: Arabic, Hindi, Japanese, you name it
→ Built-in MCP server so Claude Code, Cursor, and Cline can speak back to you in a voice you cloned
→ Local LLM rewrites your voice in-character before TTS
→ Pedalboard effects (reverb, pitch shift, chorus) baked in
It's built on Tauri (Rust), not Electron. Runs on MLX for Apple Silicon, CUDA, ROCm, Intel Arc, DirectML, and CPU.
ElevenLabs Creator is $99/month. WisprFlow Pro is $15/month.
Voicebox is $0. 23.4K stars on GitHub. MIT license.
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billion dollar idea:
diet coke but with 30g of protein
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@beffjezos True. Only way that we can even try to keep up with AI.
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It's the next frontier now that we have human-level AI.
We need to figure out merging technology, fast.
MUSKOSOPHY@muskosophy
“Most people don’t even realize that a direct brain-computer interface is possible.” – Elon Musk
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Vapi charges $0.05/minute per call.
Retell charges $0.07/minute per call.
A 10-person sales team running 8 hours of AI calls a day pays Vapi $1,200/month. $14,400/year.
Someone built the open source alternative to both.
It's called Dograh. 1,516 stars on GitHub.
You open the drag-and-drop workflow builder. You name your bot. You describe the use case in a sentence. You have a working voice agent in under 2 minutes. No API contracts. No per-minute billing. No vendor lock-in.
Here's what it does:
→ Drag-and-drop workflow builder for inbound and outbound voice agents. No code required.
→ Bring your own LLM. OpenAI, Anthropic, or any provider you already use.
→ Bring your own STT. Swap speech-to-text engines without rebuilding your agent.
→ Bring your own TTS. Full control over voice, latency, and cost.
→ Outbound calling campaigns. Dial lists, lead qualification, follow-ups.
→ Inbound call handling. Receptionists, support bots, appointment schedulers.
→ WebRTC and VoIP support. Real phone calls and browser-based voice.
→ Built on Pipecat and FastAPI. Production-grade Python backend.
→ Next.js frontend. Runs entirely in your browser. No desktop app needed.
→ One Docker command to self-host everything. Running in under 60 seconds.
→ Full source-level customization. Every line of code is yours to modify.
→ Data residency on your own infrastructure. No call audio leaves your server.
Here's the wildest part:
There is no Dograh cloud you are forced to use. There is no per-minute meter running on someone else's servers. There is no closed-source black box deciding what your voice agent can and cannot do.
Vapi is SaaS only. Retell is SaaS only. Both are proprietary. Neither lets you see the code. Neither lets you change the code. Neither lets you own the infrastructure.
Dograh can never lock you out. Because the code is sitting on your own machine.
Vapi: $0.05/minute. A 10-person team at 8 hours/day of calls pays $14,400/year.
Retell: $0.07/minute. Same team. Same usage. $20,160/year.
Dograh: $0. Unlimited agents. Unlimited calls. Your hardware. Your data. Forever.
344 forks. Built in Python. Maintained by YC alumni and exit founders.
BSD-2-Clause licensed. Self-hosted. Free forever.
100% Open Source.
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An Anthropic engineer literally stopped me at a coffee shop because of what was on my screen.
I was sitting at Sightglass running my Polymarket bot.
He looked over once.
Then again.
Then said:
“That’s not a normal trading setup.”
I told him the whole thing runs on:
• Claude Code
• 4 open-source repos
• $25/month
That’s it.
He pulled up a chair instantly.
“I work on the agent team at Anthropic,” he said.
“We stress test Claude for workflows exactly like this.”
Then I showed him what the bot was actually doing.
86 MILLION trades analyzed.
Every wallet.
Every entry.
Every exit.
Every profitable pattern.
One prompt:
“Find wallets with 100+ trades and 70%+ win rate. Rank by profit. Export the best ones.”
Claude scanned 14,000 wallets in 4 minutes.
Returned 47.
The top 20 wallets made more money than the other 13,000 combined.
He stared at the results and said:
“That’s not data analysis.
That’s a weapon.”
And we were just getting started.
Second repo:
A Rust CLI scraping 500 live Polymarket markets in minutes.
Claude filtered everything automatically:
• spread gaps
• liquidity depth
• timing windows
• whale behavior
500 markets became 35.
Before I even looked at them.
93% rejected automatically.
Then a trade closed live on my screen.
+$84.
He didn’t even blink.
“How does it decide when to enter?”
3 independent AI agents:
• arbitrage
• convergence
• whale-copying
No shared memory.
2 agents agree = full position
1 agrees = half size
Disagreement = no trade
That consensus system alone cut 40% of losing trades.
Then he asked the real question:
“What about exits?”
That’s where it gets stupid.
The profitable whales rarely hold to settlement.
91% exit early.
So my bot exits BEFORE they do.
It takes profit at:
• 85% expected move
or
• unusual volume spikes
Basically:
It copies smart money…
then front-runs their exits.
He just sat there staring at the terminal.
“How much did you start with?”
$200.
27 days ago.
Current balance:
$14,300.
271 trades.
74% win rate.
Sharpe ratio: 2.47.
Fully automated.
I haven’t touched it in weeks.
Before leaving he said:
“This is almost identical to the internal scenarios our red team simulates.”
Next morning I got an email from him.
“Would you be open to speaking with our policy team?”
I replied:
“The article IS the meeting.”
The craziest part?
This stack costs less than Netflix.
AI is no longer replacing workers.
It’s replacing entire hedge funds.
Comment “Claude” if you want the framework.
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15 AI related accounts you should follow on Twitter:
1. @karpathy
2. @fchollet
3. @ylecun
4. @AndrewYNg
5 @rasbt
6. @dair_ai
7. @lilianweng
8. @jeremyphoward
9. @simonw
10. @_akhaliq
11. @ID_AA_Carmack
12. @gwern
13. @goodside
14 @drfeifei
15 @demishassabis
Let me know who I missed guys
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ChatGPT Images 2.0 💚 India.
Already more than 1 billion images created there; awesome to see.
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Asian Currencies 2-Year Depreciation Against USD Amid Global Crisis
🇮🇳 India : 15 %
🇮🇩 Indonesia : 8 %
🇰🇷 South Korea : 7 %
🇹🇭 Thailand : 6 %
🇯🇵 Japan : 6 %
🇵🇭 Philippines : 4 %
🇲🇾 Malaysia : 3 %
🇨🇳 China : 3 %
🇸🇬 Singapore : 3 %
🇵🇰 Pakistan : 2 %
Modi's Magic Continues
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🚨 Tata Electronics signed an MoU with ASML to support India’s first 300 mm semiconductor fab in Dholera, Gujarat.
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@SRSchmidgall Yes please, don’t think I am technically gifted enough but I’ll get the job done one way r another
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Want to join Google DeepMind as a research scientist working on AI for health and medicine?
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BREAKING: 🇮🇳 Tata Electronics partners with Dutch chip giant ASML to support India’s first advanced semiconductor fab.
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The latest 𝕏 algorithm has been published to GitHub
github.com/xai-org/x-algo…
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