Thiago Reis - Growth Machine:
ESSE FATO DE 50 ANOS ATRÁS DITA ATÉ HOJE O JEITO QUE VOCÊ COME
ESSE FATO DE 50 ANOS ATRÁS DITA ATÉ HOJE O JEITO QUE VOCÊ COME
YouTube
ESSE FATO DE 50 ANOS ATRÁS DITA ATÉ HOJE O JEITO QUE VOCÊ COME
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Cortes Vivendo de SaaS:
Venda Software: Foque no que já tem, não em novas funcionalidades
Venda Software: Foque no que já tem, não em novas funcionalidades
YouTube
Venda Software: Foque no que já tem, não em novas funcionalidades
Venda Software: Foque no que já tem, não em novas funcionalidadesMuitos desenvolvedores e empresas de software acreditam que adicionar novas funcionalidades ...
Data Science in Your Pocket - Medium:
OpenResearcher-30B-A3B: SOTA Open MoE for Deep Research Agents
OpenResearcher-30B-A3B: SOTA Open MoE for Deep Research Agents
Medium
OpenResearcher-30B-A3B: SOTA Open MoE for Deep Research Agents
OpenResearcher-30B-A3B is a fully open, agentic 30B Mixture‑of‑Experts (MoE) model purpose‑built for long‑horizon deep research, not just…
Data Science in Your Pocket - Medium:
GLM-5 Deep Dive: 745B MoE Beast Crushing SWE-Bench (Code + Benchmarks)
GLM-5 Deep Dive: 745B MoE Beast Crushing SWE-Bench (Code + Benchmarks)
Medium
GLM-5 Deep Dive: 745B MoE Beast Crushing SWE-Bench (Code + Benchmarks)
GLM-5 is Zhipu AI’s (Z.ai) latest flagship large language model, released on February 11, 2026, emphasizing agentic engineering over mere…
Data Science in Your Pocket - Medium:
From Zero to Production LLMs: Why Every Student and AI Beginner Should Grab This Hands-On Playbook
From Zero to Production LLMs: Why Every Student and AI Beginner Should Grab This Hands-On Playbook
Medium
From Zero to Production LLMs: Why Every Student and AI Beginner Should Grab This Hands-On Playbook
“The Complete Hands-On LLM Playbook: Understanding, Building, and Scaling Language Models” are now live on Amazon, and this is the rare LLM…
Data Science in Your Pocket - Medium:
Mixture of Experts: Scale to Trillions Without Breaking the Bank
Mixture of Experts: Scale to Trillions Without Breaking the Bank
Medium
Mixture of Experts: Scale to Trillions Without Breaking the Bank
Mixture of Experts (MoE) is a neural network architecture that scales model capacity dramatically by splitting computation across many…
Data Science in Your Pocket - Medium:
Stop Asking ‘SQL or NoSQL?’: A Practical Guide to Choosing the Right Database
Stop Asking ‘SQL or NoSQL?’: A Practical Guide to Choosing the Right Database
Medium
Stop Asking ‘SQL or NoSQL?’: A Practical Guide to Choosing the Right Database
Choosing a database is less about “SQL vs NoSQL” in the abstract and more about aligning your data model, access patterns, and operational…
Data Science in Your Pocket - Medium:
Qwen3‑Coder‑Next: A 3B‑Active Beast for Local Coding Agents
Qwen3‑Coder‑Next: A 3B‑Active Beast for Local Coding Agents
Medium
Qwen3‑Coder‑Next: A 3B‑Active Beast for Local Coding Agents
Qwen3‑Coder‑Next is built on top of Qwen3‑Next‑80B‑A3B‑Base, an 80B‑parameter hybrid attention + MoE model where only 3B parameters are…
Data Science in Your Pocket - Medium:
Battle of the PDF Parsers for Financial Documents: Rule‑Based vs Model‑Driven Extraction for…
Battle of the PDF Parsers for Financial Documents: Rule‑Based vs Model‑Driven Extraction for…
Medium
Battle of the PDF Parsers for Financial Documents: Rule‑Based vs Model‑Driven Extraction for…
Extracting structured text from PDFs — complete with Markdown formatting, hierarchical organization, and bounding boxes — is a holy grail…
Data Science in Your Pocket - Medium:
Qwen 3.5 Free API for everyone
Qwen 3.5 Free API for everyone
Medium
Qwen 3.5 Free API for everyone
How to use Qwen 3.5 for free?
Data Science in Your Pocket - Medium:
How to use GLM5 free API key?
How to use GLM5 free API key?
Medium
How to use GLM5 free API key?
How to use GLM5 for free?
John D. Cook:
10,000,000th Fibonacci number
10,000,000th Fibonacci number
John D. Cook | Applied Mathematics Consulting
10,000,000th Fibonacci number
I've written a couple times about Fibonacci numbers and certificates. Here the certificate is auxiliary data that makes it faster to confirm that the original calculation was correct. This post puts some timing numbers to this. I calculated the 10 millionth…
BTCCLUB / @ausbtcclub:
RT by @ausbtcclub: Your view nails it. Pre-v30 default ~80B OP_RETURN meant most nodes (98%) rejected large data by default—only the opt-in 2% relayed it easily. Post-v30, 100kB aggregate default flips that: 90%+ of pleb nodes now propagate "rubbish" without tweaking, as inertia rules. Core leverages this for wider adoption of data use.
Wicked's point stands separately: direct broadcasts to interconnected mining nodes make consensus-valid txs hard to censor network-wide, regardless of relay ...
RT by @ausbtcclub: Your view nails it. Pre-v30 default ~80B OP_RETURN meant most nodes (98%) rejected large data by default—only the opt-in 2% relayed it easily. Post-v30, 100kB aggregate default flips that: 90%+ of pleb nodes now propagate "rubbish" without tweaking, as inertia rules. Core leverages this for wider adoption of data use.
Wicked's point stands separately: direct broadcasts to interconnected mining nodes make consensus-valid txs hard to censor network-wide, regardless of relay ...