Zürcher Nachrichten - Firms and researchers at odds over superhuman AI

EUR -
AED 4.238558
AFN 75.593749
ALL 93.113255
AMD 422.431466
AOA 1058.341674
ARS 1729.258934
AUD 1.635261
AWG 2.077442
AZN 1.960944
BAM 1.95502
BBD 2.326482
BDT 142.723059
BHD 0.435639
BIF 3450.2982
BMD 1.154135
BND 1.478142
BOB 13.745516
BRL 5.895378
BSD 1.155044
BTN 110.019293
BWP 15.561196
BYN 3.434045
BYR 22621.037064
BZD 2.323083
CAD 1.60779
CDF 2620.48721
CHF 0.935368
CLF 0.026837
CLP 1056.228802
CNY 7.787642
CNH 7.786081
COP 3619.158186
CRC 524.406685
CUC 1.154135
CUP 30.584565
CVE 110.221026
CZK 24.259987
DJF 205.687938
DKK 7.475976
DOP 67.345174
DZD 153.233553
EGP 57.651216
ERN 17.312018
ETB 186.779646
FJD 2.552364
FKP 0.856081
GBP 0.854065
GEL 3.012086
GGP 0.856081
GHS 13.56059
GIP 0.856081
GMD 84.831731
GNF 10144.084735
GTQ 8.813331
GYD 241.90349
HKD 9.055657
HNL 30.962586
HRK 7.534647
HTG 151.033015
HUF 364.832898
IDR 20584.739782
ILS 3.46466
IMP 0.856081
INR 110.111247
IQD 1513.196292
IRR 1586617.611509
ISK 142.201148
JEP 0.856081
JMD 183.442376
JOD 0.818297
JPY 183.742839
KES 149.347743
KGS 100.928614
KHR 4683.233012
KMF 491.661295
KRW 1633.094652
KWD 0.356558
KYD 0.962616
KZT 538.515153
LAK 26086.592439
LBP 103437.580447
LKR 387.125552
LRD 208.479599
LSL 18.689744
LTL 3.407859
LVL 0.698124
LYD 7.361063
MAD 10.771403
MDL 20.075078
MGA 4947.154867
MKD 61.500464
MMK 2423.16271
MNT 4148.252132
MOP 9.334276
MRU 46.330921
MUR 54.291029
MVR 17.831333
MWK 2002.952962
MXN 19.781514
MYR 4.72145
MZN 73.754932
NAD 18.689744
NGN 1571.031266
NIO 42.503963
NOK 10.95441
NPR 176.042104
NZD 1.960165
OMR 0.443766
PAB 1.155039
PEN 3.901643
PGK 5.107051
PHP 70.536666
PKR 320.67955
PLN 4.30386
PYG 6875.286807
QAR 4.21072
RON 5.241504
RSD 117.4043
RUB 95.215737
RWF 1696.87447
SAR 4.32253
SBD 9.308899
SCR 15.972987
SDG 693.021093
SEK 10.955547
SGD 1.477621
SLE 28.392379
SOS 660.156642
SRD 43.569153
STD 23888.254875
STN 24.490654
SVC 10.106968
SZL 18.686626
THB 38.202429
TJS 10.666775
TMT 4.051012
TND 3.385949
TRY 55.095386
TTD 7.834874
TWD 37.21611
TZS 3052.68358
UAH 51.815175
UGX 4302.283552
USD 1.154135
UYU 46.531234
UZS 13782.501305
VES 872.251493
VND 30165.614579
VUV 137.764899
WST 3.155077
XAF 655.71244
XAG 0.017765
XAU 0.000263
XCD 3.119107
XCG 2.081769
XDR 0.815496
XOF 655.698242
XPF 119.331742
YER 275.140339
ZAR 18.698999
ZMK 10388.601949
ZMW 21.605474
ZWL 371.630852
  • RBGPF

    -0.6200

    69.88

    -0.89%

  • RYCEF

    -0.2800

    20.57

    -1.36%

  • NGG

    -1.4000

    79.48

    -1.76%

  • GSK

    -0.8000

    52.16

    -1.53%

  • VOD

    -0.4400

    15.75

    -2.79%

  • RIO

    0.8100

    101.91

    +0.79%

  • RELX

    0.1000

    35.62

    +0.28%

  • CMSC

    -0.1738

    21.57

    -0.81%

  • BTI

    -2.2800

    57.05

    -4%

  • BP

    1.2500

    42.88

    +2.92%

  • CMSD

    -0.1300

    21.69

    -0.6%

  • BCE

    -0.2100

    22.54

    -0.93%

  • BCC

    -1.8500

    84.75

    -2.18%

  • JRI

    -0.0800

    12.73

    -0.63%

  • AZN

    0.4900

    161.91

    +0.3%

Firms and researchers at odds over superhuman AI
Firms and researchers at odds over superhuman AI / Photo: Joe Klamar - AFP/File

Firms and researchers at odds over superhuman AI

Hype is growing from leaders of major AI companies that "strong" computer intelligence will imminently outstrip humans, but many researchers in the field see the claims as marketing spin.

Text size:

The belief that human-or-better intelligence -- often called "artificial general intelligence" (AGI) -- will emerge from current machine-learning techniques fuels hypotheses for the future ranging from machine-delivered hyperabundance to human extinction.

"Systems that start to point to AGI are coming into view," OpenAI chief Sam Altman wrote in a blog post last month. Anthropic's Dario Amodei has said the milestone "could come as early as 2026".

Such predictions help justify the hundreds of billions of dollars being poured into computing hardware and the energy supplies to run it.

Others, though are more sceptical.

Meta's chief AI scientist Yann LeCun told AFP last month that "we are not going to get to human-level AI by just scaling up LLMs" -- the large language models behind current systems like ChatGPT or Claude.

LeCun's view appears backed by a majority of academics in the field.

Over three-quarters of respondents to a recent survey by the US-based Association for the Advancement of Artificial Intelligence (AAAI) agreed that "scaling up current approaches" was unlikely to produce AGI.

- 'Genie out of the bottle' -

Some academics believe that many of the companies' claims, which bosses have at times flanked with warnings about AGI's dangers for mankind, are a strategy to capture attention.

Businesses have "made these big investments, and they have to pay off," said Kristian Kersting, a leading researcher at the Technical University of Darmstadt in Germany and AAAI member.

"They just say, 'this is so dangerous that only I can operate it, in fact I myself am afraid but we've already let the genie out of the bottle, so I'm going to sacrifice myself on your behalf -- but then you're dependent on me'."

Scepticism among academic researchers is not total, with prominent figures like Nobel-winning physicist Geoffrey Hinton or 2018 Turing Prize winner Yoshua Bengio warning about dangers from powerful AI.

"It's a bit like Goethe's 'The Sorcerer's Apprentice', you have something you suddenly can't control any more," Kersting said -- referring to a poem in which a would-be sorcerer loses control of a broom he has enchanted to do his chores.

A similar, more recent thought experiment is the "paperclip maximiser".

This imagined AI would pursue its goal of making paperclips so single-mindedly that it would turn Earth and ultimately all matter in the universe into paperclips or paperclip-making machines -- having first got rid of human beings that it judged might hinder its progress by switching it off.

While not "evil" as such, the maximiser would fall fatally short on what thinkers in the field call "alignment" of AI with human objectives and values.

Kersting said he "can understand" such fears -- while suggesting that "human intelligence, its diversity and quality is so outstanding that it will take a long time, if ever" for computers to match it.

He is far more concerned with near-term harms from already-existing AI, such as discrimination in cases where it interacts with humans.

- 'Biggest thing ever' -

The apparently stark gulf in outlook between academics and AI industry leaders may simply reflect people's attitudes as they pick a career path, suggested Sean O hEigeartaigh, director of the AI: Futures and Responsibility programme at Britain's Cambridge University.

"If you are very optimistic about how powerful the present techniques are, you're probably more likely to go and work at one of the companies that's putting a lot of resource into trying to make it happen," he said.

Even if Altman and Amodei may be "quite optimistic" about rapid timescales and AGI emerges much later, "we should be thinking about this and taking it seriously, because it would be the biggest thing that would ever happen," O hEigeartaigh added.

"If it were anything else... a chance that aliens would arrive by 2030 or that there'd be another giant pandemic or something, we'd put some time into planning for it".

The challenge can lie in communicating these ideas to politicians and the public.

Talk of super-AI "does instantly create this sort of immune reaction... it sounds like science fiction," O hEigeartaigh said.

W.Odermatt--NZN