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📢キミたち、三十路式整体術もう受けましたか~!? 2/26で終了なので、まだの人はお忘れなく! 💘 ▽特設サイト #PR# #マリン船長の三十路式整体術# #こころ整体院# #giversこころ整骨院グループ#
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SpaceX has lived in private markets for 20+ years. When it goes public, $SPCU givers traders 2x daily leveraged exposure to $SPCX, starting IPO day. Defiance Daily Target 2X Long SpaceX ETF. T-Minus 3 days until launch 🚀
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"I think they did a great job." Jaylen Brown gives the @sixers front office his stamp of approval 💯
"I think they did a great job." Jaylen Brown gives the @sixers front office his stamp of approval 😂
Every API call gives you a choice: wait for the result now, or collect it later. Agentic Document Extraction (ADE) works both ways when you run a Parse or Extract. The first way is synchronous. You send the request and wait on the line until the result comes back. Simple, and right when someone needs the answer immediately. The second is asynchronous. You submit the work, get a ticket, and pick up the result once it is done. Nothing sits waiting on an open line. The result is identical either way. Same Markdown from Parse, same fields from Extract. You are only choosing how long you wait. So why ever hand it off? Two reasons. Big jobs need it. A single asynchronous Parse Job takes files up to 1 GB or 6,000 pages, far more than one live request can hold. It also costs less. Waiting on the line runs at the top rate, since something is blocked on it. Hand the job off and you drop to a cheaper tier for the same result. The rule of thumb is one question. If a person or an agent is waiting on the answer, run it synchronously. If nothing is waiting, submit a job and pay less. Full breakdown, plus the service tier companion, in the comments.
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"It really is such a level playing field." @Buster_ESPN gives insight on how the American League may shape up 👀
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Grok Build keeps getting smarter.....this update expands Auto mode, gives developers more control over Bash permissions, speeds up /btw, and makes long conversations easier to navigate Release Notes: v0.2.119 Features: • Always allow for bash commands now lets you edit a free-form glob pattern instead of only word-prefix scopes. • Long responses now show a clickable arrow that jumps back to the start of the answer. • Auto mode now auto-approves more common read-only git commands and harmless file appends. • Plan previews now show Mermaid diagram buttons (Open Image, Copy Image Path, Copy Source). Bug Fixes: • Gateway connections now detect and recover from dead sockets more reliably. • Question cards now let you Tab through answers instead of losing focus to the scrollback. • Resume picker no longer tries to load a session from pasted garbage when you press Enter. • Background task completion messages no longer grow unbounded when the task produced a huge log. • Plan viewer scrollbar now responds to clicks on the border column and renders without dark stripes in • Expired external auth provider credentials now correctly trigger the interactive sign-in flow instead of a silent 401 loop. Performance: • /btw side questions now reuse the parent session’s cached prefix for faster responses. • Doctor and tmux-backed startup are now faster when no live tmux processes remain.
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Here is my AI investing guide. Sitting here August 2026, my current best thoughts are as follows: 1. LPS (Land Power Shell) is still the most obvious and fastest path to cash on cash returns. Lots of value can be assembled and traded quickly at this layer. And as data centers get more pushback, energized land can explode in value. Very bullish here. I’ve stepped into this layer very aggressively. My partner @anitavlallian and I have acquired almost 6GW coming online in a ramp from today thru 2029 of grid power and behind the meter. 2. Silicon - I helped get @GroqInc off the ground in 2015 and we licensed it to @nvidia for $20B Dec2025. I won’t invest or incubate anything in this layer now. The perf demands of the chips are too high, manufacturing precision is too complex and supply chain influence to get adjacent components like memory isn’t possible for a startup anymore. Lots of capital will be wasted here chasing Groq and Cerebras’ success. Note that both startups made sense a decade ago when these constraints were much more modest. 3. Clouds - Clouds are very very lucrative but very hard to build and very expensive and technically complicated to maintain. And as alignment becomes a more important issue, I expect the clouds will be asked to build robust KYC and attest to it. This makes the risk:reward ratio skewed. I don’t want to be responsible when the USG says a cloud allowed a bad actor to do something bad because of poor KYC. 4. Models are complicated. The big open question is how much of the revenue being generated by them today is because of tokenmaxxing and poor model behavior. If it’s a lot, then the annualized revenues will diminish meaningfully even as token consumption inflects upwards. This is the big economic question at this layer. 5. Harnesses are where the action is and why I started @8090solutions two years ago. In a nutshell, the harness helps enterprises owns their proprietary context (what Alex Karp calls their ‘alpha’). This is an enterprise’s data, workflows, evals, and business rules. A harness that gives this to an enterprise is what creates very low model-agnostic switching costs, which further reinforces my views of #4# above. 6. Applications will be another long term winner along with harnesses. This is where the differentiation between “off the shelf” and “custom time and materials” melts away. Every company, with the right harness, can now imbue their alpha into the software that runs their company. I expect this to mean that “off the shelf” is largely replaced with custom software creating a huge opportunity to write these solutions for companies. Build once and sell repeatedly is a laggard GTM motion for a SaaS world that isn’t needed here. Think custom by design, alpha embedded, proprietary by nature. Fin. Good luck to all the players!
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Why manage separate AI tools for the script, the image, and the video? The Alibaba Cloud Token Plan gives you one shared credit pool across supported models and tools, with visibility into usage and access to newer models like Qwen3.8-Max-Preview, HappyHorse1.1, DeepSeek V4, and GLM-5.2. One plan for every modality, to build more, spend less. Get started from just $4 in your first month. Explore the Token Plans: #AlibabaCloud# #TokenPlan# #Qwen# #Wan# #HappyHorse# #GenerativeAI# #AIContent# #MultimodalAI#
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North Korea's Lazarus Group and other bad actors thrive on gaps in our financial rules. The Clarity Act gives Treasury new sanctions authority and a safe harbor for companies to freeze suspicious transactions before the money moves.
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