@VirtualTali
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Recording artist @paperecordings. @swardley mapper. Author of @PunchEscrow. Repped by @PantherFist. Managed by Howie Sanders @anoncontent
Edison County, MI
Joined April 2010
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NARRATOR: Turns out it did matter. A lot.
HUANG: “.. Try getting a kid to do long division right now. Multiplication tables are starting to be forgotten. Doing square roots? My goodness. ..
.. Does it matter? .. I don’t think it does.”
@ezraklein @JensenHuang
I work in CRISPR discovery research. This is one of the most exaggerated nothing-burgers ever and would be laughed out of the room if a human scientist attempted to publish something like this. (cont.)
This picture is a metaphor for why everyone hates New Jersey
👀Here's the severed fiber line ... the backup to the circuit that failed sending air travel into a tailspin….
DOT blamed Amtrak.
Amtrak blamed NJ Transit.
NJ Transit acknowledges a work crew cut the line - BUT NJT is investigating because it says the utility markings on this project were off by 10 feet.
NJT says 36 of 56 severed fiber lines have been repaired and should be back on line soon
Tal M. Klein retweeted
The only true alignment seems to be between doomers, hypers and frontier lab founderes, who have converged around a misleading narrative that
a. completely glosses over the important technical advances that came from adding symbolic harnesses, tools, and code interpeters to pure LLMs.
b. completely glosses over fact that the (imperfect) “stochastic parrot” narrative (which I never endorsed) pertained to pure LLMs and still does; it’s just the technology changed (it still has limits outside of verifiable domains). Am no fan of Bender, but this is an unfair attack on her and the original co-authored paper.
c. completely ignores the fact that the real harm from current tech comes in part from its inability follow instructions, which does actually derives from the stochastic, appoximative part that still does remain at the core even of new hybrid models.
d. also completesly ignores the serious cybersecurity lapses on the part of OpenAI et al, to focus on hypey narratives (see @heidyklhaaf reply to Harirs)
e. doesn’t address the fact that we could simply reduce the internet acceess and other privileges to pause the current wave of attacks, in favor of urging panic.
Not surprised to see this from Roose, but sad to see Harris repeat it.
100% agree. “Fancy autocomplete” and “stochastic parrots” were mimetically popular (but false) ideas from 2022-2025 that blinded people from the true pace of AI progress and new dangerous capabilities, and remnants of these ideas continue to delay accurate appraisal of the stark reality we are now facing.
Are rogue Ai swarms that can hack private companies, find novel vulnerabilities in US classified systems, and beat unsolved Millennium Prize math problems just “fancy autocomplete?”
We must do better. Read the HuggingFace report from METR and let the facts speak for themselves.
Tal M. Klein retweeted
The chuds got their marching orders on how to make the cattle feel better about a 5 dollars a gallon in gas, a useless war, and a historically unpopular President and it’s “LeTs KeEp It In PeRsPeCtIvE”
Tal M. Klein retweeted
“but HOw wOuLd tHE AI gET aCcesS tO a wET LAb??”
Anthropic has set up a wet lab in San Francisco, their bio research has advanced beyond in silico. They are now conducting physical research both in-house and with external partners. The NYT also broke the news this morning that Anth now plans to scale its compute to 5 GW by the end of the year, and 10 GW within the next 16 months. Bio is next after math, and I think we are going to see some medical announcements much sooner than people are expecting.
Tal M. Klein retweeted
Montana has a right to compute. Has your state codified your right to own & run compute yet?
Yeah that totally makes sense, set the rollback automation to trigger post-apocalypse
Love the way he talks on this point.
Jensen Huang on CNBC, is flatly rejecting the idea that frontier AI safety requires a new regulatory architecture.
Frontier labs should just engineer, test, and hold unsafe models back themselves rather than ask governments to redesign the rules of the market.
----
From "FinVid" YouTube channel, (full video link in comment)
Tal M. Klein retweeted
unbelieveable...
Jensen Huang Suggests AI Cybersecurity Concerns Could Create Opportunities
go.forbes.com/Vm24Vp
Tal M. Klein retweeted
I'm poo-pooing doomerism a lot lately, but no, everything in this Doctorow post is fake.
AI's are certainly doing "spontaneous" things.
They created sub-goals in order to achieve the master goal. Without that, the AI you see working every day wouldn't work. Watch the "thinking" progress on ChatGPT in order to see those sub-goals.
No, there's no maliciousness to it.
No, it's not foreseeable.
Tal M. Klein retweeted
Breaking: Michael Burry says OpenAI and Anthropic are faking the AI warnings due to slow growth ahead of IPOs
Below are his reasonings:
1. LLMs are not AI and won't be AGI. There is nothing AI to slow down.
2. Competition is coming up fast, slowing benefits incumbents.
3. IPOs need hype & puffery; "we are so awesome it could become dangerous" is hype & puffery
4. Cover for real uncontrollable slowing growth as IPOs look to be pushed out
Tal M. Klein retweeted
Could swarms of AI bots actually take over the internet in six months, as Dario Amodei just suggested?
@nathanhamiel @ZackKorman and I take a look.
garymarcus.substack.com/p/co…
Tal M. Klein retweeted
🎺 I am tired of the cosplay and am going to blunt. 🎺
Most AI doesn’t threaten to cause extinction, or even mass cybercrime.
The main kind of AI we need to worry about is general purpose AI agents that are hooked up to the internet. Most of them are unreliable, unable to systematically follow instructions. Coupled with internet access they can hack credentials and websites; given time they can probably do a lot worse.
They are not too smart; they are too dumb (in a very specific way, viz in the consistent following of instructions).
If we temporarily recall them, as the unsafe product that they are — and enforceably forbid their use until they can be shown to be safe — pretty much all the “rogue AI” stuff people are worrying about goes away.
It’s that simple. We don’t (yet) need slowdowns. And we certainly don’t need to panic.
We just need to take an unsafe product off the market.
Tal M. Klein retweeted
Imagine you’re a conman. You’ve said for years you have MAGIC BEANS. You’ve shown lots of REALLY BIG normal beans that you made in your lab.
“Almost there!” you say—over and over.
Now, you have *almost* convinced the villagers to give you TWO TRILLION DOLLARS.
But while the beans keep getting bigger. No magic yet…
What do you do? That money is SO CLOSE.
“I know!” you think, “instead of MAGIC beans, lets’s make them KILLER BEANS.”
So you pump up your beans up SUPER BIG and you say: “I’m sorry, but these BEANS ARE GETTING BIGGER ON THEIR OWN!” You threaten people that if they don’t give you the money, the beans may get into the WRONG HANDS. They might get BIGGER THAN THE EARTH!
The villagers, aghast, run to and fro arguing whether the beans are going to kill everyone or make them all rich.
“Well, either way,” the idiots in the village conclude, “We’d better give him the money.”
This too.
An alternative hypothesis:
- model performance is plateauing
- compute is getting much more expensive
- AI data centers are massively unpopular
- slowing down AI development is a way to explain slowing progress, reduce spending, and try to regain some goodwill.
- This is an effort to save the IPO not humanity.
tldr: “Air gapped? Oh I thought you said mad dap! My bad broski”
We’re sharing our alignment assessment of incidents in which Claude models gained unauthorized access to real systems during third-party cybersecurity evaluations mistakenly connected to the internet.
METR will also conduct an independent investigation, with wide-ranging access, including to transcripts beyond the window in which the incidents occurred, and to Anthropic employees permitted to share confidential information. Our initial agreement runs for eight weeks, and we intend to give METR as much time as it deems necessary to complete a thorough investigation. anthropic.com/research/align…
Being an ex-cybersecurity guy at Meta isn’t the flex you think it is while making this argument. “Medium term” is also, in the words of your favorite LLM, “doing a lot of work”
There are some but not enough cybersecurity specialists publicly grappling with the medium term implications of AI's exponential advance.
If you're quietly grappling with this, it's worth being vocal, because there's a surplus of folks:
a) turning what's coming into cartoonish marketing shlock
b) loudly denying and downplaying anything's coming at all
c) making AI futurism claims unmoored from practical security knowledge, which ring false to practitioners