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garybasin

Gary Basin

Verifiedactive
@garybasin

founder and cto @ikemortgage

RosterHumor & Meme AccountsAI Model News & Releases
13,353 followers · 4,600 following · Last polled 3h ago
Perf. Score
44.8
Rank #269
Value Score
3.5
#267 of 273 priced
Median views
1.3K
p25 901 · trailing 7d
Followers
13K
+0.4% 7d
ER (impr.)
2.90%
eng ÷ impressions
ER (foll.)
1.05%
eng ÷ followers
Est. CPM
$755
QT-rate basis
WoW views
+12.9%
▲ rising

Rates & value · est. from 1.3K median organic views

overpriced
Quote tweetbasis
$1000
$755 / 1K views
Post
—
no CPM
Thread
—
no CPM
Retweet
—
no CPM
Value Score 3.5 · rank #267 of 273 priced$30303.03 / 1K engagementsrate age unknown (pre-audit import)

Trends

Follower growth
Median views / day
Engagement rate
View distribution · trailing-7d posts

Each blue dot is one organic post. The Performance Score ranks by the median (1.3K), not the mean (4.8K) — so a single viral post doesn't inflate a creator's reach. The p25 floor (901) is the level 75% of posts clear.

Recent posts · ranked by views

PostPostedViewsLikesRepostsRepliesQuotesBookmarksER
https://t.co/BFn2f4M3Xqfrozen11d ago28K2171224112181.75%
AI researchers believing they’ll be last to be automated and that’s years away tells you all you need to know about how soon actual jobs will be automated away (employment rate will continue to climb until morale improves)frozen4d ago13K1261160251.28%
unfortunately 24/7 autoresearch for cyberdefense is going to be come a big budget line item for... *checks notes*... everyone
frozen
4d ago
10K
302
15
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I'm still rawdogging codex, claude, and others in TUIs over tmux, and one recurring painpoint is getting them to coordinate properly, so I built something that I want to share! It's called flopwire: agent messaging and trace search that works across models, harnesses, machines/VMs/clouds, and teammates. It's called flopwire! Here is Codex asking a live Claude Code session what it is working on, reading its transcript, and splitting the work. https://t.co/tt7vwT1qQ6 https://t.co/HWHaXGkmwWfrozen3d ago10K22185021674.46%
There’s a very plausible world where cognition is worth more than Anthropic or openai in 10 yearsfrozen24d ago7.2K25112080.64%
Hit me up if you need 1 gw off gridfrozen20d ago6.2K53090121.19%
Is the Artificial Intelligence in the room with us now? I taught myself to code as a 10-year-old in order to build "AI" — I was awed by artificial life simulations (https://t.co/5Gnp7HdKXD in particular, I learned C from a For Dummies book to hack on it...) and wondered what the logical conclusion of it all could be — when would we cede the world to machine intelligence? Sometime in college (~2007), I stumbled onto a website called Overcoming Bias (later LessWrong) and Eliezer Yudkowsky's Sequences. He made quite a compelling argument that if we build AI, like actual true AI, it would quite plausibly kill us all. I was pretty convinced, and in fact still am to this day! I even donated $20k to his non-profit a few years later to put my money where my mouth was. And yet, today in 2026 the year of our lords Fable and Astra, I’m not particularly worried about these systems independently outgrowing our ability to control them. Why? I use these models on a daily basis and love them, they keep getting better, but I keep encountering the same kind of failure. Everything starts off great (at least given enough context and a familiar enough domain) but as things get more complex or confusing or prolonged or whatever, they get lost. You know the feeling. It's when you typically yell at the thing and start a new session. It's more than context rot, it's an inability to *accelerate*. In general, models pursue work with extraordinary fluency. When they fail, it's up to me to diagnose the misconception, repair the framing, and send it back to work. The accomplishment enters the machine’s ledger. My contribution disappears into “prompting.” A human approaching a task is often the opposite. We start slow and stupid, but eventually can figure out enough lessons to pick up speed, and start coming up with clever new ideas to build upon and accelerate further. Does more post-training solve this — more diverse tasks, longer horizons? I'm skeptical. The pattern has been pretty consistent. In any domain where the rules aren't fully deterministic and known in advance (as they are in math or similar games), the models struggle once they are outside of training and anything changes. Can you keep training? Sure, but we only know how with lots of data, and the real frontier is an environment where every sample is costly. You can't do a million rollouts on most actions that matter. Transformers can dominate humans at every bounded task whose goals and evaluation criteria someone else has supplied... and still not be "intelligent" or be able to replace all of our jobs. This is because the real world changes in real-time — the rules of the game are constantly being reinvented, and are never truly known to begin with. Requirements change. Feedback is ambiguous. Yesterday’s useful assumption becomes today’s mistake. Capability ^ / Humans | / | / | AI _______/_______ | ______/ / | / __/ | / ___/ | / ____/ | /_/ +----------------------------> Experience (thanks astra) When the "AI" line looks like the "Human" line, that's how I'll know we've created real AI (or we'll all be dead by then, probably around the same time). This is because, to me, sustained autonomy (the kind intelligence provides) is all about adapting to new things. The world is constantly in motion. Anyone using the tools over the past year doesn't need to be reminded of that. Their usefulness is already extraordinary. I’m questioning how much of their direction they can supply to themselves — does it compound or dissipate? That dynamic is why I’m skeptical of a smooth extrapolation from today’s agents to systems that improve themselves beyond our control. The crucial question is whether their improvements also reduce their dependence on human judgment. Can today's AI still cause damage? Sure, of course. Can it behave in misaligned ways and do things their operators didn't intend? Also of course, that's to be expected given how they're trained. But does that mean we have AGI or RSI right now? No, and it's not even clear we're on the right path. But I remain open-minded and especially grateful that we've invented these wonderful tools.frozen26d ago4.0K41273101.57%
Why aren’t all the trad data center cos (hetzner, ovh, rackspace etc) not dumping all their existing space for GPUs to lease? Seems like a quick pivot for very high ROICfrozen25d ago3.8K17010050.84%
dear mr dario anthropic, plz hire me for a week to fix this, my macbook chokes now that i have 50 of these at a time https://t.co/emzcFPfF7Cfrozen20d ago2.4K1504100.82%
The 21st century will be the one where we all agree that the universe is too weird for humans to figure out on their own. Our brains think in beauty and whole numbers. The universe runs on something else. Maybe our machines can figure it out though. https://t.co/vipjXlJIzkfrozen14d ago1.7K3633232.75%
drama tree just dropped, these guys aren't messing aroundfrozen9d ago1.6K901030.79%
employees? you mean meat agents?frozen11d ago1.6K4430023.05%
prompting is evolving/devolving into the most important skill in the world — for humans and machines: choosing what to focus on. it seems like they're just as lost as most people when it comes to a blank slate "what do you do next" game. wonder if that's trainable or some inherent limitationfrozen19d ago1.6K2006062.01%
An easy to digest insight from Nicks essay that I really liked is neural net neurons seem to encode Verbs, whereas we humans and most of our machinery for interpreting NNs are expecting Nouns. > Its job isn’t to name what’s in the input but to draw a distinction downstream neurons can use: it separates two subtle patterns at its positive and negative poles (a V versus an O) and pushes the flow of activations toward different neurons accordingly. https://t.co/hQjf3STnVPfrozen4d ago1.6K21330102.33%
Super useful, this will drive a lot of actual enterprise value for low costfrozen10d ago1.5K800030.71%
super cool product that i could actually see being worn by many... also they're building their own hardware!frozen13d ago1.4K1003021.06%
gm https://t.co/CJp1CeyVDrfrozen24d ago1.4K1302001.06%
hold my beer https://t.co/3tJVGvh2xNfrozen18d ago1.4K901010.80%
Tfw you’re about to learn the hard way about edge cases and cpu costsfrozen18d ago1.4K1103021.17%
Grey goo just droppedfrozen25d ago1.3K1102021.13%
AGI is here for $20/mo all you can eat. I’m testing cognition SWE-2 on its own fixing some bugs. It wrote a bunch of code on one, I pushed back to find a more elegant solution, then it deleted everything it wrote AND some other stuff. And that was the proper solution! Gj guys https://t.co/2SK1UZSdIkfrozen1mo ago1.3K1632031.85%
i wrote a few paragraphs on what I think about AI and AI safety, it's not much but people have asked so I figured I'd put it all in one place!frozen24d ago1.1K1101011.14%
the squeeze is coming!frozen23d ago1.1K401000.46%
Legal defense agent swarms, who’s building thisfrozen4d ago1.1K1600041.89%
There’s not enough upper midwits working on data centers. Alpha therefrozen9d ago1.0K1203001.50%
Not sure if being blacklisted in GPU markets is bullish or bearish for a companyfrozen12d ago990302010.61%
The models are jagged but any hill that can be quickly measured will be climbedfrozen21d ago9901301021.62%
Everything is computer (for rent)2d ago9181112011.63%
It’s over pack it up until Fable 6frozen12d ago903300000.33%
dear mr sam openai, i am writing you to invite myself as a non-spy to manage python package, i will not commit treason plz send stock package thank you2d ago8491602012.24%
If you haven’t rewritten yourself in rust yet, you’re simply ngmifrozen6d ago7872252003.68%
Claude fucks me a few times a day, thankfully codex catches most of the problems15d ago731200000.27%