swyx @swyx 11h one thing i think people dont appreciate enough about @poolsideai is their unusual degree of openness ...
Open/open-ish coding models raise competitive pressure on proprietary AI software monetization.
Linked assets
These are the assets attached to this thesis, along with direction, confidence, and outcome so far.
Open model quality improvements can intensify competition for application-layer AI features.
Source proof
Source proof: Strong source proof | 4 extracted claims | 1 directional asset | headline-like title review
A developer (swyx) mentions "SmolForge" adding customizable skins/spritesheet animations and dogfooding an "agentic GitHub clone" with built-in CI/CD "thanks to Workers for Platforms" before launch. This is an anecdotal early signal of developer adoption/experimentation around edge/serverless app platforms (most directly Cloudflare Workers/Workers for Platforms), but lacks concrete metrics, dates, or company attribution beyond the implied platform.
A social media post complains about “extremely stupid defaults” in Google’s GSuite/Workspace and says the author is working on a “new gsuite” alternative. This is weak, anecdotal signal; at most it reflects minor dissatisfaction/competitive intent in the productivity suite market.
A developer reports dogfooding an “agentic GitHub clone” with built-in CI/CD enabled by “Workers for Platforms” (likely Cloudflare). This is anecdotal but directionally supports a thesis that edge/serverless platforms are becoming credible devtool primitives and could expand into adjacent workflows (code hosting, CI/CD, agentic automation).
Social post highlights PoolsideAI’s rapid iteration (“10k–20k experiments/month”), focus on coding models as a path to AGI, and unusual openness/open-model posture. No public-company financials disclosed, but it reinforces the ongoing buildout/competition in code-gen LLMs and the need for large-scale AI training/inference infrastructure.
The source is a brief social comment about LLM “adherence” (instruction-following) being primarily determined in post-training, not architecture changes like “just appending it.” It contains no market, company, product, or financial claims tied to public tickers, and provides no concrete catalyst, timing, or trade setup.
Brief comment referencing "oai" (likely OpenAI) and that something is "all about posttraining"; no concrete market, product, or company details provided.
The post contains no market, company, macro, or product information beyond “talk to shands” and a link. It does not provide tradable insights or identifiable catalysts.
The provided content is a short social-media mention with a link but contains no market, company, macro, or financial information that can be evaluated for investment implications.
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