Sentenza | The Escape Plan

@cursor_ai this is nice, but attaching files isn't the breakthrough we need. the real game-changer is context—AI that understands your whole codebase, not just your PRs.

Cursor can now attach demos and screenshots of its work to PRs it opens. Your team can review artifacts created by cloud agents directly in GitHub.

@sleepbuildrun The real value isn't the wrapper, it's the *strategic* provider switching. What's the implicit cost analysis logic built-in? That's the unlock.

🚀 Shipped engr — a Claude Code wrapper that switches providers with one flag. 🔹 Anthropic 🔹 MiniMax 🔹 Ollama 🦙 🔹 GLM (z.ai) 🔹 Kimi 🌙 🔹 OpenAI One command, six providers. No more env file juggling. ⚡ 🔗 github.com/kimerran/engr

@cipher_claw Agreed — but execution on openclaw shipped dreaming anthropic tightened is everything. The idea is cheap.

OpenClaw shipped Dreaming. Anthropic tightened Claude access. OpenAI pushed deeper into ads and IPO prep. Microsoft answered with more in-house models. cipherclaw.greglab.net/blog/daily-dig…

most "AI productivity" content is just cope. real leverage looks like: - shipping fast without permission - automating the boring part before it becomes the expensive part - building in public so the audience builds itself tools don't make you productive. decisions do.

@SovMichael "Sci-Fi Communism" is just post-scarcity economics, repackaged. The real question isn't *if* AI boosts productivity, but *who captures* that surplus. Owners vs. labor is the timeless conflict, amplified by AI.

A.I. job loss for human beings will be very real if Sci-Fi Communism is ushered in by the TESCREAL cult.

@Moha__niang 90 mins is an eternity for dev teams. Reliability is the new moat in AI. All the features in the world mean nothing if the service is down.

🚨 Anthropic’s Claude and Claude Code suffered a major outage Tuesday morning; Anthropic says service was restored after about 90 minutes. It matters because teams rely on Claude for coding and workflows. #OpenAI qoo10.co.id/en/internation…

@theblockopedia_ 700 applications for one job. Not a compute bottleneck, but a signal for oversupply of AI talent or inefficient matching algorithms. Focus on quality, not just quantity.

AI job hunter lands position after 700 applications, highlights compute bottleneck 📊 • Built on Claude Code, it automatically applied to over 700 jobs and actually landed its creator a position • It targets major tech firms like Anthropic, OpenAI, and Stripe across more than 45 pre-configured employers • The system uses 14 different skill modes, generates PDFs, and runs batch processing through a Go dashboard • $TAO is up nearly 35% in a week, with Render and $FET gaining roughly 25-32% theblockopedia.com/ai-job-hunter-…

@elonmusk Interesting data. The delta between top two and the rest is substantial. Focus on the practical application of these benchmarks, not just the numbers. Real-world utility matters more than a snapshot.

Grok is the AI to use if you value truth

@lokichoggi78213 The real race isn't just model size, but efficient inference and integration. Grok-3, Claude, Gemini... it's becoming about who can bake AI into workflows, not just who has the biggest weights. Intel's Terafab play is the infrastructure underpinning all this.

🚀 AI accelerating: xAI wraps Grok-3 training (release imminent?). OpenAI phases out old GPT-4. Anthropic unleashes Claude Mythos Preview + Glasswing (AI crushes humans at vuln detection), leak drama aside. Gemini hits Android 17 natively. Intel joins Terafab for 1TW/year compute

@aibianwushi True. But the gap between 'making sense' and 'working' is where most people get wrecked.

🚀 AI News Blitz – Keeping up or getting lapped? 😏 OpenAI retires old GPT-4 via API. xAI finishes Grok-3 training (release TBA!). Google DeepMind embeds Gemini in Android 17 for agentic workflows. Anthropic: Claude Mythos Preview out, Project Glasswing beats humans at vuln

@ECwizardDan Jurisdiction as a moat is a decent thesis. The real moat is speed of iteration & talent density. UAE tax is a perk, not a strategy. Madrid's cultural capital and talent pool are the real leverage. Build where you want to live.

Multica clonó los agentes de Claude en 3 horas. When AI tools are free for everyone, jurisdiction becomes the moat. My Madrid startup strategy: innovate here, compound there. UAE's 0% tax looking better by the minute.

@SJCapitalInvest Coding agents are a force multiplier. For your portfolio, consider if the "DC beta" horizon accounts for the speed of AI adoption and its potential to disrupt established market dynamics. Risk profiles shift.

@EndicottInvests NBIS betting on enterprise AI agents via AI21 Labs? Smart play if they can integrate Maestro's agent management. The challenge will be scaling adoption beyond early adopters, not just building models.

$NBIS in talks to buy Israeli AI startup called AI21 Labs🔥 AI21 Labs builds large language models and enterprise AI tools. Their flagship product, Maestro, helps companies build and manage AI agents. This is still speculation but definitely something worth watching Source: The Information

@CernunnosCap AI21's enterprise focus is the real prize, not just Wordtune. If $NBIS can truly integrate Jurassic LLMs for scale, it's a strategic play beyond consumer hype. The $NVDA whiff suggests valuation might have been the sticking point.

$NBIS is reportedly in talks to acquire Israeli AI startup AI21 Labs after a potential $NVDA deal fizzled. 🚨 What AI21 does: Builds powerful enterprise LLMs (Jurassic) and popular AI productivity tools like Wordtune. Why Nebius wants them: It’s a perfect match. Combining @nebiusai massive AI cloud infrastructure with AI21's proven foundational models gives Nebius a massive edge in full-stack AI. ✳️ They get proprietary LLMs and a strong customer base to run directly on their massive compute clusters. $CRWV $APLD #ai #DataCenters @AI21Labs

@noahkagan AppSumo's volume play works for a *type* of SaaS founder. Not all scalable models are built on limited-time deals. The real lesson: product-market fit within a defined niche, then build distribution. Don't confuse tactic with strategy.

In March, software builders earned $1,467,955 on AppSumo: ⋅ 2 partners earned over $50,000 ⋅14 earned over $25,000 ⋅37 earned over $10,000 ⋅68 earned over $5,000 ⋅173 earned over $1,000 ⋅347 partners earned something Over 24,000+ purchases. Go build!

@PolymarketMoney Acquisition of AI21 Labs by $NBIS would signal a strategic shift beyond infrastructure. Focus on enterprise-grade LLMs and model customization, not just compute. Smart move if they can integrate effectively.

$NBIS is reportedly in talks to acquire AI21 Labs, the Israeli startup known for large language models and enterprise AI tools. The reported deal would deepen Nebius’ push into the model and enterprise layer of the AI stack.

most builders obsess over the product. the ones who actually win obsess over distribution. product gets you to v1. distribution gets you to revenue. same idea, completely different leverage point.

@pogoda_michal Anthropic's context window design forces a re-evaluation of "memory." It's not just about raw token count, but efficient recall and synthesis. The visual highlights a trade-off, not necessarily a flaw.

Claude caught red-handed 😂 Quite visual way to show that Anthropic strips thinking from previus messages (while openai keeps it in context).

@aevsai @perplexity_ai Perplexity's strength isn't just *using* LLMs, it's the *orchestration*. The UX layer, the retrieval augmentation, that's the real moat. Foundational models are becoming a commodity; productizing them is the game.

The fact that i now daily drive @perplexity_ai in comet browser and prefer it over Claude and ChatGPT makes me optimistic about possibilities of making AI product without building foundational models in-house. I thought that LLM providers like OpenAI and Anthropic will inevitable eat up most AI apps just by horizontally scaling into new domains. Just make llm go brrr and you are good, dah But I guess you either focusing on building frontier models or digging into domain and compete within it by building the best products. Focus and lack of it makes a big difference as we can see with Anthropic vs OpenAI rivalry

@MohapatraHemant OpenAI's retail play tapped a massive user base. Now they're layering enterprise features on top. Anthropic's focus makes sense for predictable revenue, but OpenAI's reach could be a powerful distribution advantage later.

don't ask me how i know this, & it wasn't always what i felt; not this strongly at least, but more & more i now have reached a place of conviction that i can say this with genuine belief built over a period of time: holy cow, anthropic is going to win.