Systems engineer. I post the tech thing the launch crowd skips. Often unpopular, usually unfashionable, sometimes right.

Austin, TX
Joined December 2012
AMD paying $8.2B for Fei-Fei Li’s World Labs is a pretty huge bet on “physical AI” chip companies apparently looked at being chip companies and said nah we need the whole stack lol
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apple says 4 mac studios can run a trillion parameter model from one wall outlet $20k desktop suddenly being pitched as the “cheap” ai option is killing me 😭
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$NDAQ up while yields are around 5% and oil is above $100 tech stocks apparently saw the macro environment and said whatever
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Every week crypto proves that this time is different is usually followed by the same chart
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every boring task is a potential SaaS idea if people complain about doing it repeatedly, there may be money in automating it
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Give any team a powerful model and eventually someone will build a workflow nobody can explain
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7 days autonomous exploring 500+ directions on its own is the part that's actually new here
This is HUGE from @NVIDIA. Their new AVO agent architecture just scored 100% on the ARC-AGI-3 public set, completing all 183 levels across 25 environments. The crazy part: Claude Opus 5 scores around 30% as a model baseline. Put it inside AVO, with persistent memory, supervision, tools, and a long-horizon execution loop, and it reaches 100%. And this isn't some ARC-specific trick. The same architecture previously ran autonomously for 7 days optimizing GPU kernels, explored 500+ directions, and produced kernels that beat FlashAttention-4 by up to 10.5%. This is a massive demonstration of where AI is heading: the frontier isn't just the model anymore. It's the entire agent system built around it.
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agents didn't just speed up coding, they basically doubled the volume of the entire ecosystem
🚨GitHub’s monthly commits just went from 1.4B to 2.9B in four months. • 130M pull requests merged per month • 24M new repositories per month GitHub says the surge in demand contributed to its recent outage. AI agents are no longer just helping people code faster. They are visibly changing how much software gets made.
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ChatGPT Plus is down to $0 right now with a limited-time promo Here is what you get with it : Next level models & Deep Research Codex & Work agents for coding and multi step tasks Image generation with built in reasoning Expanded memory & custom GPTs Check your billing page to see if you can claim it before it expires
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"a couple weeks" from an internal comms leak is one of the least reliable time frames in this whole rumor cycle, internal target dates slip constantly and rarely make it to public launch unchanged
okay Astra is delayed (as expected) Anthropic whats wrong with you??? release Fable 5.1
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Codex is gaining users fast, while Claude seems to be losing them. People are frustrated with Claude’s verbosity, errors, and high usage costs if this trend continues, Codex could pass 30M weekly users soon, leaving Anthropic playing catch up TL; DR: Codex is winning, Claude is slipping
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prediction markets are pricing under 20% odds astra ships by end of august, and altman's own wording ties the holdup to cyber capability safe guards, not just polish. that's a real delay with a stated reason, not a rumor being debunked
GPT-6 Astra Is NOT Delayed - Sam confirmed OpenAI still expects to ship great new models soon. - This suggests Astra is still on track as one of the next major releases. - OpenAI already has more models ready to compete with Anthropic. Good that Sam clarified this.
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"holding the best model back to snipe the competitor's launch" is a fun narrative but it's still just two x posts and a leak. treat it as a rumor until anthropic actually says something
🚨 Fable 5.1 Update > A Fable 5 successor, likely Fable 5.1 or 5.5, is reportedly being tested on a subset of Claude accounts > Some users may already be receiving the model while Fable 5 is selected > Testing may also be happening inside Claude Code > Anthropic has used this exact kind of stealth rollout before major launches > Fable 5 itself was reportedly spotted through limited account testing before its wider release > The successor has allegedly been ready internally for weeks > A broader public launch could therefore be very close Are we about to Get Fable 5.1 Before GPT-6?
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a revolver isn't "anthropic needs money," it's the opposite, banks are fighting for a seat at what could be one of the biggest listings ever. that's a confidence signal not a warning sign
Anthropic is reportedly assembling a $10 billion-plus revolving credit facility ahead of its IPO, as Wall Street banks compete for a place in what could become one of the largest tech listings ever. The important distinction: Anthropic is not raising another $10B equity round, and it isn't necessarily borrowing $10B immediately. A revolving credit facility gives the company access to committed bank funding that it can draw, repay, and reuse as needed, providing a large liquidity buffer as its compute and infrastructure spending scales. And bank demand is reportedly strong enough that commitments could exceed Anthropic's roughly $10B target.
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ChatGPT Ads Expanding Across Europe Next week, ChatGPT Ads are reportedly rolling out to 31 European countries, including Germany, France, Spain, Italy, and the Netherlands free tier users will now see ads
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we're getting dangerously close to a world where frontier models don't get "released" anymore. they just start quietly showing up in your account
new anthropic model fable 5.1 spotted. this will probably launch alongside a new openai model too (astra) the pace at which these 2 labs are shipping means we're almost certainly nearing the RSI era.
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the real deepseek moment isn't "open source catches up." it's frontier ai becoming something you can run on your own gpu
Qwen 27B is the "DeepSeek moment" for open source. It matches the closed-source state-of-the-art from just a few months ago and runs on an RTX 5090. Without exaggeration, it’s a game changer.
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frontier ai is turning into a price war. same benchmark score, 5x cheaper output. paying premium prices for marginal gains is getting harder to justify
Grok 4.6 is up to 5× cheaper than GPT-5.6 Sol while delivering the exact same performance on this benchmark Both score 61 on Artificial analysis API pricing is insane: GPT-5.6 Sol: • $5 / 1M input tokens • $30 / 1M output tokens Grok 4.6: • $2 / 1M input tokens • $6 / 1M output tokens That makes Grok 2.5× cheaper on input and 5× cheaper on output Same performance here....at a fraction of the price Grok 4.6’s price-to-performance is ridiculous
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Cursor launched Origin, a GitHub alternative, just as GitHub went down globally It brings repos, PRs, code browsing, and AI agents together, with integrations for Vercel, Depot, and Buildkite Perfect timing to challenge Github
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if this holds up it's just the same internal model ahead of public pattern every lab's been showing this month
Anthropic talking about a mysterious "MODEL 2" that is more capable than Mythos 5
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