OpenAI delays model, unveils agents

Scholar power: 220.0%

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Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Pedro Domingos	80%	84	220.0%

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54.0%

17.1 h

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220.0%

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0.441

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by Allen Frances

2%

Scholar power: 2.3%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Allen Frances	1%	60	2.3%

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66.0%

0.4 h

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2.3%

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0.334

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Reposted by Nuria Oliver

39%

Scholar power: 39.3%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Nuria Oliver	54%	53	39.3%

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69.0%

20.5 h

69

39.3%

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0.251

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by Joanna Bryson

49%

Scholar power: 49.2%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Joanna Bryson	29%	32	49.2%

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51.0%

8.2 h

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49.2%

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Joanna Bryson

@j2bryson.bsky.social

Strongly against using terms like "honest" or "lie" or even "hallucinate" with respect to data retrieval systems, generative or no.

#OpenAI don't want liability for a system they have not yet constructed to be sufficiently accurate or transparent that it can be used safely.

#AIEthics #GPT-6.1Astra

Nvidie @dervine7.bsky.social · 21h

people want to read this as some kind of marketing move about how cool the tech is, but tbh "our product doesn't do what you want, in a way that could get you sued, and lies about it" isn't really a compelling pitch for corporate clients

Saachi Jain, OpenAI’s head of safety systems, said in an interview that GPT-6.1 Astra regressed in two areas. Compared with its predecessor, GPT-6 Astra, the model performed poorly on tests measuring alignment, or how well the model adheres to what humans would like it to do. Specifically, GPT-6.1 Astra showed higher levels of deception: It wasn’t always honest about telling users of the actions it did or didn’t take.

Another issue was what OpenAI calls “scope authorization,” meaning that GPT-6.1 Astra would push ahead on a task without asking the user for permission, and would at times reach for external tools and services even if it might be unsafe.

September 29, 2026 at 2:49 PM

by Marco Casassa Mont

79%

Scholar power: 79.2%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Marco Casassa Mont	59%	20	79.2%

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62.0%

13.3 h

2

79.2%

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0.135

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Marco Casassa Mont

@marcocasassamont.bsky.social

UK AISI's security findings about latest OpenAI GPT-6 Astra model ...

www.theregister.com/ai-and-ml/20... #OpenAI #GPT6Astra #SupplyChainAttacks #AISI

OpenAI GPT-6 Astra really good at supply chain attacks, UK gov warns

During testing, the model showed it can violate security rules more often than its predecessors

www.theregister.com

September 29, 2026 at 9:42 AM

Reposted by Brendan Nyhan

5%

Scholar power: 5.0%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Brendan Nyhan	7%	51	5.0%

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70.0%

23.7 h

161

5.0%

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0.041

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by Christian Catalini

18%

Scholar power: 18.7%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Christian Catalini	12%	27	18.7%

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46.0%

4.3 h

0

18.7%

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0.038

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by Dean Baker

7%

Scholar power: 7%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Dean Baker	-	21	-

by James F. McGrath

1%

Scholar power: 1.7%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 James F. McGrath	2%	8	1.7%

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75.0%

7.2 h

0

1.7%

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0.022

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James F. McGrath (ReligionProf)

@religionprof.bsky.social

OpenAI Cancels Release of GPT-6.1 Astra Because It ‘Regressed’ on Safety gizmodo.com/openai-cance...

OpenAI Cancels Release of GPT-6.1 Astra Because It 'Regressed' on Safety

It doesn’t sound like it morphed into a diabolical hacker. It mostly just screwed up.

gizmodo.com

September 29, 2026 at 3:48 PM

Reposted by Jože P. Damijan, Jonathan Birch

0%

Scholar power: 0.5%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Jože P. Damijan	1%	28	0.5%
🎓 Jonathan Birch	0%	31	0.0%
Total			0.5%

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49.0%

13.5 h

101

0.5%

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0.021

Formula for ranking score (post): scholar_power × max((total_reposts)^(1/3), 1) × (1 / max(hours_since_posted, 1)) × (raw_relevance)^3

by Dean Baker

7%

Scholar power: 7%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Dean Baker	-	21	-

Reposted by Brendan Nyhan

5%

Scholar power: 5.0%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Brendan Nyhan	7%	51	5.0%

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Scholar power

67.0%

20.1 h

14

5.0%

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0.018

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Reposted by Dean Baker

2%

Scholar power: 2%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Dean Baker	-	21	-

by Margot C. Finn Reposted by Pauline Stafford

0%

Scholar power: 0.4%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Margot C. Finn	0%	17	0.0%
🎓 Pauline Stafford	1%	16	0.4%
Total			0.4%

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60.0%

16.9 h

8

0.4%

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0.018

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Margot Finn

@eicathomefinn.bsky.social

'we ought to be very concerned about the fact the AI companies we’re meant to trust to keep their models in check seem unable to do so. Worse than that, they don’t seem to know what their products are even doing.'

As AI models go rogue, do you still trust OpenAI and Anthropic to stop them? I don’t and neither should you | Chris Stokel-Walker

The need for independent regulation grows more obvious by the day. We must keep this tech in check before it’s too late, says technology writer Chris Stokel-Walker

www.theguardian.com

September 29, 2026 at 6:04 AM

by Nathan Richardson

1%

Scholar power: 1.0%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Nathan Richardson	1%	12	1.0%

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49.0%

4.8 h

0

1.0%

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0.012

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Nathan Richardson

@nathanrichardson.bsky.social

Did we really need another Minions origin story film?

www.engadget.com/2272230/dots...

Dots are OpenAI's new personal agents and soon you'll be able to control several of them - Engadget

Sure, seems safe.

www.engadget.com

September 29, 2026 at 6:09 PM

Reposted by Dean Baker

2%

Scholar power: 2%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Dean Baker	-	21	-

by Stacy D. VanDeveer

0%

Scholar power: 0.0%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Stacy D. VanDeveer	0%	31	0.0%

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55.0%

12.0 h

1

0.0%

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0.012

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Stacy VanDeveer

@stacydvandeveer.bsky.social

The Fascists leading the fascists

HuffPost @huffpost.com · 12h

The sit-down comes just hours after OpenAI announced it was suspending the release of its newest model over safety concerns.

Trump, Johnson To Hold WH Meeting With AI Executives

www.huffpost.com

September 29, 2026 at 11:01 AM

by Amir Attaran

8%

Scholar power: 8%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Amir Attaran	-	31	-

Amir Attaran

@amirattaran.bsky.social

The next major terrorist is likely to be AI.

Exclusive | OpenAI Scraps Release of New AI Model Over Safety Concerns

The model, dubbed GPT-6.1 Astra, was due to debut inside ChatGPT and Codex in October.

www.wsj.com

September 29, 2026 at 12:33 AM

by Mun-Keat Looi

4%

Scholar power: 4.0%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Mun-Keat Looi	4%	11	4.0%

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54.0%

9.4 h

4

4.0%

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0.008

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Mun-Keat Looi

@munkeatlooi.bsky.social

OpenAI hacked Australian government health website—and only notified authorities three months later buff.ly/NwpMLfS

OpenAI hacked Australian government health website—and only notified authorities three months later

buff.ly

September 29, 2026 at 1:33 PM

Reposted by Greg Linden

1%

Scholar power: 1.9%

Story's scientific field profile

Computer science 72%, Philosophy 17%, Engineering 11%

Name	Field match	H-index	Scholar power
🎓 Greg Linden	4%	23	1.9%

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46.0%

6.8 h

11

1.9%

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0.007

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Ed Zitron

@edzitron.com

This all comes back to a point I've been making for a while now: We've treated NVIDIA's chip sales as reflective of big AI demand, when in reality $200bn+ of the GPUs are in storage, and those that are installed are mostly rented to Anthropic and OpenAI.
www.wheresyoured.at/dead-money/

In other words, the talking point that NVIDIA’s GPU sales are proof of actual demand for AI services or, indeed, that hyperscaler growth is a result of all those capital expenditures is a complete lie. In reality, at least half of all those chip sales — and I’d add in Broadcom’s TPU sales too (see my Hater’s guide for more) — are being made years before anything actually happens with the chips, making the trillion-plus dollars spent on capex so far seem somewhere between optimistic and utterly incoherent.

Microsoft, Google, Amazon, Meta, Oracle, and far too many other companies have been hoarding hundreds of billions of dollars of AI chips that they either (to quote Microsoft CEO Satya Nadella) can’t plug in or simply want to have in supply for reasons that I find tough to imagine.

venture capitalist that “...some companies are hoarding colossal amounts in case they come to a point at which they don’t have enough chips to provide the computing capacity,” as if there’s been any shortage of NVIDIA chips, outside of the illusory one created by hyperscalers buying them years in advance.

So, we’ve got a situation where Microsoft, Google, Amazon, Meta, SpaceX, CoreWeave, and every imaginable neocloud is sitting on hundreds of billions of uninstalled GPUs (and increasingly TPUs). Whenever more capacity comes online, it’s immediately sold to OpenAI or Anthropic, who make up anywhere from 70% to 80% of all AI revenues and compute demand, creating the illusion that revenue growth is “coming from demand for AI compute” rather than said demand coming from two companies that have been fed over $217 billion in the last nine months, with the vast majority of it coming from Google, Amazon, Microsoft, and NVIDIA themselves.

As I discussed last week, If “demand is outstripping supply” because of millions of customers begging for AI compute, that’s very different to “demand outstripping supply” because two or three (including Meta) customers are taking up most or all of the capacity. Not to repeat myself, but…

Similarly, if “demand is outstripping supply” because lots of capacity is coming online and a diverse subset of customers is buying it, that’s vastly different to if capacity is coming on slowly, and the vast majority of it is being given straight to OpenAI, Anthropic, or Meta.
And that’s absolutely what’s happening, suggesting that the “AI boom” is more like five or six large companies (hyperscalers) feeding money to two companies (NVIDIA and Broadcom) so that they can feed money to two companies (Anthropic and OpenAI) who then feed that money back to them whenever capacity comes online. I estimate that there’s around $22 billion of global, non-Anthropic/OpenAI compute demand, and an indeterminately-large chunk of that is coming from AI startups that can only afford to pay for the compute as long as venture capital continues to fund them…

September 29, 2026 at 4:08 PM

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OpenAI delays model, unveils agents

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OpenAI delays model, unveils agents

Scholar power: 220.0%

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Scholar power: 1.9%

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