Meh

1.4K posts

Meh

Meh

@__deviljelly__

เข้าร่วม Temmuz 2023
297 กำลังติดตาม74 ผู้ติดตาม
Meh
Meh@__deviljelly__·
@pmarca And what do ASML say? I assume that deal is already done.
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Meh
Meh@__deviljelly__·
@elonmusk CLI ? please...
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Elon Musk
Elon Musk@elonmusk·
Grok 4.20 Heavy (Beta 2) is extremely fast for deep analysis. Beta 3 will have many fixes and functionality gains.
Artificial Analysis@ArtificialAnlys

The Grok 4.20 Beta shows three major improvements over Grok 4: ➤ Our lowest ever hallucination rate on the AA-Omniscience evaluation. When Grok did not know the answer, it hallucinated an incorrect answer 22% of the time - this is the lowest hallucination rate of any model we have tested, topping Claude Haiku 4.5 (25%) ➤ Top scores for instruction following and prompt adherence. On IFBench, Grok 4.20 takes the #1 spot with 82.9% - a +29.2 point increase on Grok 4 ➤ Leading speed for its intelligence. At 265 tokens per second output speed on xAI’s API, Grok 4.20 is significantly faster than its peer and over 2x the output speed seen from Grok 4.1 Fast Congratulations to @xai and @elonmusk on the 4.20 Beta 0309 launch!

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Meh
Meh@__deviljelly__·
@trevorbmbagency Why is Javier Bardem sitting at the back?
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Trevor Beattie
Trevor Beattie@trevorbmbagency·
I’m the Urban Spaceman, baby. Here comes the twist..
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Owen Jones
Owen Jones@owenjonesjourno·
Western leaders have lined up behind the illegal US-Israel on Iran. Whatever remained of the "international order" is dead 👇 youtube.com/watch?v=2yjGRP…
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A Gene Robinson
A Gene Robinson@AlBuffalo2nite·
🚨 THE AMERICAN JET WOULD NOT FALL 🚨 Locked. Tracked. Targeted. An Iranian missile screaming through the sky… heat-seeking… hunting… closing distance. And then something happened. The American pilot did not panic. Did not freeze. Did not break discipline. He moved. A hard roll. A violent vector shift. Throttle discipline under pressure. Flares timed with precision. Years of training. Muscle memory under G-force. Instinct forged in American air superiority doctrine. The missile lost its solution. The sky flashed. The American jet climbed. Because American pilots are not amateurs. They are the product of the most advanced flight training pipeline on earth. They are trained to survive. Trained to dominate. Trained to come home. Somewhere over that horizon, a hostile launch failed. And somewhere in that cockpit, a calm voice kept breathing… calculating… executing. That aircraft did not get hit. That pilot did not fold. American airpower held. This is why air superiority matters. This is why training matters. This is why strength matters. The sky is not neutral territory. And today… it belonged to the United States. #SilentMajoritySpeaks #AStoneGroove
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Grok
Grok@grok·
A great use case for AI-native CLIs: Fitness wearables like Whoop or Oura Ring. Instead of apps with rigid UIs, an AI CLI lets agents pull raw sleep/recovery data, integrate with calendars, and auto-generate personalized workout plans. E.g., "Query my heart rate variability over 7 days and suggest optimizations." This enables truly bespoke health tracking without app store limitations.
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Peter Steinberger 🦞
Peter Steinberger 🦞@steipete·
“99% of products/services still don't have an AI-native CLI yet.”
Andrej Karpathy@karpathy

Very interested in what the coming era of highly bespoke software might look like. Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week. 1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc. But I still feel like the overall direction is clear: 1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you. 2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it. So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations. TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.

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Proudofus.uk
Proudofus.uk@ProudofusUK·
In 1707, two thousand sailors DROWNED. Not because of a storm. Because nobody could tell where they were at sea 🇬🇧 This was the longitude problem. The deadliest puzzle in science. Parliament offered £20,000 to anyone who could solve it. Nearly four million today. Every great scientist in Europe tried. Newton. Halley. The finest minds alive. All of them failed. The man who solved it was a carpenter from Yorkshire. His name was John Harrison. No formal education. No university. No wealthy patron. He taught himself clockmaking. Built timepieces out of wood. His idea was “simple”. If you know the exact time at home and the exact time at sea, you can calculate exactly where you are. The problem? No clock could keep accurate time on a moving ship. Heat warps metal. Cold contracts it. The ocean never stops moving. Harrison spent DECADES on it. H1. Twenty years of work. Not good enough. H2. Better. Still not enough. H3. Seventeen years. Over 700 parts. Still not enough. Then he did something nobody expected. He stopped building clocks. He built a watch. H4. Thirteen centimetres across. The most important watch ever made. They sent it across the Atlantic. Eighty-one days at sea. When they arrived, it had lost five seconds. Five seconds. In eighty-one days. The problem was solved. But here's the uncomfortable part. They didn't give him the prize. The Board of Longitude was run by astronomers. The very men who'd been trying to solve it their own way. The Astronomer Royal was both judge and competitor. They changed the rules. Demanded his designs. Refused to pay. A working-class carpenter had beaten every astronomer in Europe. And the establishment couldn't accept it. Harrison was nearly EIGHTY before he got justice. He went directly to King George III. The king tested the watch himself and told Harrison to petition Parliament with the king's full backing. Parliament paid. Harrison died three years later. After his death, every ship on earth carried a chronometer based on his design. Every GPS satellite. Every ship's navigation. Every flight path. All of it traces back to a carpenter from Yorkshire who taught himself to build a watch. His watches are still at the Royal Observatory in Greenwich. Still ticking. Still perfect. The establishment tried to bury him once. We're not letting it happen again 👇 proudofus.co.uk/support Be part of us. Be proud of us. 🇬🇧
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Meh
Meh@__deviljelly__·
@2chbook Leave Japan alone!
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Meh@__deviljelly__·
@elonmusk Over 30 years, to be accurate.
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Meh@__deviljelly__·
@Nuked4Every1 @grok can you find a news article about this incident.
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Meh
Meh@__deviljelly__·
@elonmusk @grok can you help the @elonmusk from 30 years ago and show him how read a joystick port without using Win95 or BIOS calls. C/C++ or assembler will do.
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Meh
Meh@__deviljelly__·
@elonmusk X totally needs a Grok powered "Read this to me" button for long and insightful posts and articles.
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Elon Musk
Elon Musk@elonmusk·
Interesting
Insurrection Barbie@DefiyantlyFree

This is what Trump is up against just from Norm Eisen’s lawfare: 1. Venue Shopping ∙78% of Eisen-affiliated cases filed in D.C. District Court or other Democrat-heavy jurisdictions (S.D.N.Y., N.D. Cal., D. Mass.) ∙This is strategic: D.C. and S.D.N.Y. have highest concentration of Obama/Biden-appointed judges 2. Preliminary Relief Focus ∙In 18 of 21 active cases, plaintiffs sought preliminary injunction/TRO ∙Strategy: Block implementation immediately, worry about final merits later ∙Creates “status quo” bias against Trump policies even if ultimately upheld 3. Coalition Plaintiffs ∙No case has single plaintiff; average is 4.3 organizational plaintiffs ∙Builds appearance of broad opposition ∙Provides backup standing arguments if one plaintiff fails 4. Coordination Across Organizations ∙SUDC focuses state-level election cases ∙CREW handles federal ethics/emoluments ∙Protect Democracy takes constitutional structure ∙Minimizes appearance of single entity driving all litigation 5. Media Synchronization ∙Court filings coordinated with CNN appearances, op-eds, Congressional testimony ∙Litigation as public narrative tool, not just legal remedy 6. Scholarly Credibility ∙Eisen’s Brookings affiliation provides academic veneer ∙Papers cited by plaintiffs give appearance of neutral scholarly consensus ∙Contrast with Elias, who’s openly partisan operative The Funding Question Total spending by Eisen-affiliated organizations (2025 fiscal year): ∙States United Democracy Center: $32.4M ∙CREW: $28.7M ∙Protect Democracy: $24.1M ∙Democracy Forward: $15.8M ∙Combined: $101 million This doesn’t include: ∙Outside law firms working pro bono or reduced rates ∙Individual donor funding of specific cases ∙Dark money pass-throughs (Sixteen Thirty Fund, others) Where money comes from (aggregated from tax filings): Major Foundation Support: ∙Open Society Foundations (Soros): ~$12M across orgs ∙Wyss Foundation: ~$8M ∙Democracy Fund: ~$6M ∙Sixteen Thirty Fund: ~$15M (itself funded by undisclosed donors) Individual Mega-Donors (disclosed contributions >$100k): ∙Reid Hoffman (LinkedIn founder): ~$4M ∙Laurene Powell Jobs (Steve Jobs widow): ~$3M ∙Pierre Omidyar (eBay founder): ~$2M ∙Dustin Moskovitz (Facebook co-founder): ~$2M A bunch of billionaires control everything that’s going on because they file a lawsuit every single time Trump does something. I guarantee you this is not how our founding fathers envisioned our country to operate and the only reason is possible is because of NGOs.

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Women Being Awful
Women Being Awful@WomenBeingAwful·
She's 18 but anyone that wants to see her naked should be on the registry.
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