Sebasjay

Grammy & Emmy winning producer. CEO @wearelpop · Partner @aammanagement · Building @openlabelai The music business, decoded →

[Sebasjay @sebasjay]

Que prefieres? Que sea perfecto? o que tenga éxito? Aprende esto a tiempo..

[Sebasjay @sebasjay]

El problema que no admites tener, se convierte en el techo que no puedes romper

[Sebasjay @sebasjay]

La música no se trata solo de talento.

Se trata de equipo, estrategia, visión y ejecución.

Cada decisión y cada movimiento detrás de cámaras forma parte de algo más grande: construir una carrera real, no solo un momento viral.

Esto es lo que estamos creando desde adentro.

#SebasJay #OpenLabel #MusicBusiness #LatinMusic #IndieArtists #BehindTheScenes #MusicIndustry

[Sebasjay @sebasjay]

@MatthewBerman you got it backwards.. it is GPT 5.5 + Fable for peak performance

[Sebasjay @sebasjay]

@steipete Codex is always finding problems on Fable’s code on my system, I still think 5.5 is the better one.

[Sebasjay @sebasjay]

Saber escribir canciones es la necesidad No. 1 de un artista. Si no sabes escribir, jamas podrás llegar al nivel de los grandes.

La composición sigue siendo el verdadero gancho.

La IA puede generar ruido.
Las tendencias pueden crear momentos.
El algoritmo puede empujar alcance.

Pero los artistas que perduran son los que convierten emociones reales en canciones que la gente hace parte de su vida.

Eso no se puede fingir.

[Sebasjay @sebasjay]

@vitaliidodonov PDF

[Sebasjay @sebasjay]

@vitaliidodonov MRR

[Sebasjay @sebasjay]

@LoganTGott system

[Sebasjay @sebasjay]

@bcherny you are going to need new users, the originals are running away.

[Sebasjay @sebasjay]

Let’s see what this guy can do

[Claude @claudeai]

Introducing Claude Opus 4.7, our most capable Opus model yet.

It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back.

You can hand off your hardest work with less supervision.

[Sebasjay @sebasjay]

@garrytan I just ran /office-hours on GStack and it hit me with "GStack thinks you are among the top people who could do this." Then I remembered I turned off all telemetry. Garry if you're reading this I changed my mind, take my data, put me in the batch 🤣

[Sebasjay @sebasjay]

hard to justify $200 to go back to 2025

[Ziwen @ziwenxu_]

If Opus 4.6 feels like it's fighting you lately, you're not imagining things.

It's getting nerfed in real-time.

The stability metrics don't lie: 4.6 is drowning in the volatility zone.

If you need a reliable model right now, roll back to Opus 4.5 or bridge over to GPT 5.4.

Drop this command in Claude Code:

/model claude-opus-4-5-20251101

or switch to codex

Based on the graph, everything else is just noise.

[Sebasjay @sebasjay]

Just cancelled my Claude 20x - which feels like 0.5x lately

[Sebasjay @sebasjay]

inspiring

[Aravind Srinivas @AravSrinivas]

Perplexity started as a small business tool for ourselves. We had 4 people and no revenue with AI at our fingertips.

The pivot to Computer is actually a full circle. Founders are using it to grow companies that matter to the economy and their communities. 

It’s rewarding to see it now powering small businesses and startups in big ways.

Perplexity is still a startup. We just 5X’ed revenue from $100M to $500M with only 34% growth in team size. 2x revenue growth in 2026 with same small team. And we’re just warming up.

Everyone here works at a small business, and everything we build is for people who build.

[Graeme @gkisokay]

The LLM Cheat-Sheet for OpenClaw and Hermes agents

The goal is to choose the right models that best fit your agents' needs for as little cost as possible.

Do this and you can build a proficient agent that will never die.

Here's the full landscape on popular models for AI agents: 12 models, 4 tiers, every one earning its place.

Tier 1 - Frontier Models

- Claude Opus 4.6: #1 agentic terminal coding
- GPT-5.4: superhuman computer use, real planning
- Gemini 3.1 Pro: best price/intelligence at frontier, native multimodal

Tier 2 - Execution

- MiniMax M2.7: 97% skill adherence, built for agents
- Kimi K2.5: long-horizon stability, agent swarm
- DeepSeek V3.2: frontier reasoning at 1/50th the cost

Tier 3 - Balanced

- Claude Sonnet 4.6: 98% of Opus at 1/5 the cost
- GPT-5.4 mini: 93.4% tool-call reliability
- Qwen3.6 Plus: near-frontier coding, completely free
- Llama 4 Maverick: open-weight, self-host at zero marginal cost

Tier 4 - Local / $0

- Qwen3.5-9B: always-on subconscious loop, 16GB RAM, beats models 13x its size
- Qwen3.5-27B: stronger instruction following, 32GB RAM
- Gemma 4 31B: best local reasoning, Apache 2.0, commercial-ready
- DeepSeek R1 distill: best chain-of-thought at $0
- GLM-4.5-Air: purpose-built for agent tool use and web browsing, not a trimmed general model

Full breakdown with benchmarks, costs, and use cases in the table 🔽

[Sebasjay @sebasjay]

The one reason I like Hermes 😏

[Tak 🦞 @cherry_mx_reds]

Recursive self-improvement is coming to the claw soon.

👁️🦞👁️💅

[Sebasjay @sebasjay]

Agentic search is coming fast.

[Matt Van Horn @mvanhorn]

v3 of @slashlast30days is here. 20,000+⭐ on GitHub. The biggest upgrade yet.

An AI agent-led search engine scored by upvotes, likes, and real money - not editors. Reddit comments, X posts, and YouTube transcripts are now FREE. No API keys needed for the core sources.

v3 killer feature: intelligent search. Before it searches, a Python pre-research brain resolves X handles, subreddits, TikTok hashtags, and YouTube channels for your topic. It finds the RIGHT places to search before the LLM judge assembles the report. Shout out to @jeffreysperling for building this engine

New in v3:
- Free Reddit, X, and YouTube (no API keys)
- Intelligent pre-research engine
- Best Takes (the funniest Reddit comments are first-class)
- Cross-source cluster merging
- Single-pass comparisons (X vs Y in 5 min, not 12)
- GitHub person-mode
- ELI5 mode

[Sebasjay @sebasjay]

@ziwenxu_ not remotely true