The Prague Post - Firms and researchers at odds over superhuman AI

EUR -
AED 4.269263
AFN 76.139427
ALL 92.069828
AMD 422.959573
ANG 2.080612
AOA 1067.169554
ARS 1757.296319
AUD 1.610103
AWG 2.092489
AZN 1.977567
BAM 1.955142
BBD 2.340513
BDT 142.731997
BGN 1.972015
BHD 0.438156
BIF 3476.860597
BMD 1.162494
BND 1.471318
BOB 14.497187
BRL 5.96255
BSD 1.162119
BTN 109.737566
BWP 15.558901
BYN 3.573998
BYR 22784.883161
BZD 2.337114
CAD 1.605805
CDF 2650.486518
CHF 0.941041
CLF 0.027512
CLP 1086.328032
CNY 7.801848
CNH 7.799632
COP 3627.853272
CRC 527.427157
CUC 1.162494
CUP 30.806092
CVE 110.228403
CZK 24.193244
DJF 206.598278
DKK 7.474203
DOP 68.787458
DZD 154.807872
EGP 59.192222
ERN 17.437411
ETB 188.440346
FJD 2.576551
FKP 0.859938
GBP 0.858444
GEL 3.028292
GGP 0.859938
GHS 13.218611
GIP 0.859938
GMD 86.024876
GNF 10214.828236
GTQ 8.871055
GYD 243.119282
HKD 9.114012
HNL 31.178782
HRK 7.53424
HTG 151.970198
HUF 363.640345
IDR 20523.832255
ILS 3.49963
IMP 0.859938
INR 109.949968
IQD 1522.288036
IRR 1597964.305585
ISK 140.38296
JEP 0.859938
JMD 184.549521
JOD 0.824233
JPY 179.438509
KES 150.473371
KGS 101.659793
KHR 4705.457973
KMF 492.897284
KPW 1046.244976
KRW 1563.984352
KWD 0.35906
KYD 0.968374
KZT 527.84248
LAK 26042.025808
LBP 104062.402522
LKR 381.253258
LRD 203.362481
LSL 18.579411
LTL 3.432542
LVL 0.703181
LYD 7.386579
MAD 10.906179
MDL 20.074249
MGA 4976.369193
MKD 61.504315
MMK 2440.935276
MNT 4181.527507
MOP 9.384444
MRU 46.682702
MUR 54.509449
MVR 17.97222
MWK 2015.039651
MXN 19.68009
MYR 4.703422
MZN 74.286751
NAD 18.578852
NGN 1536.642546
NIO 42.766721
NOK 10.776553
NPR 175.58046
NZD 1.977722
OMR 0.44698
PAB 1.162009
PEN 3.898689
PGK 5.163264
PHP 72.854644
PKR 322.735636
PLN 4.310237
PYG 6922.671819
QAR 4.224098
RON 5.249589
RSD 117.327093
RUB 99.915909
RWF 1714.038292
SAR 4.36615
SBD 9.300548
SCR 16.14816
SDG 699.178815
SEK 11.150989
SGD 1.471816
SHP 0.861252
SLE 28.655818
SLL 24376.917848
SOS 664.082373
SRD 43.877759
STD 24061.279537
STN 24.491974
SVC 10.167581
SYP 15114.747383
SZL 18.575912
THB 38.220446
TJS 10.731637
TMT 4.068729
TND 3.391674
TOP 2.799007
TRY 56.300168
TTD 7.888347
TWD 36.653104
TZS 3074.250008
UAH 51.651273
UGX 4392.541626
USD 1.162494
UYU 46.77447
UZS 13700.392388
VES 937.408573
VND 30248.09489
VUV 137.136128
WST 3.159793
XAF 655.742107
XAG 0.017558
XAU 0.000264
XCD 3.141698
XCG 2.094296
XDR 0.821944
XOF 655.742107
XPF 119.331742
YER 275.511341
ZAR 18.593197
ZMK 10463.848716
ZMW 22.282506
ZWL 374.322606
  • CMSC

    -0.1100

    20.81

    -0.53%

  • VOD

    0.3200

    16.9

    +1.89%

  • RBGPF

    0.0000

    70

    0%

  • RIO

    0.4300

    103.27

    +0.42%

  • RELX

    -1.1400

    35.51

    -3.21%

  • AZN

    -2.0700

    162.7

    -1.27%

  • BTI

    -0.6200

    55.35

    -1.12%

  • GSK

    -0.9800

    49.89

    -1.96%

  • NGG

    -0.0500

    78.12

    -0.06%

  • RYCEF

    0.1400

    19.92

    +0.7%

  • BCC

    2.0900

    79.21

    +2.64%

  • CMSD

    -0.0700

    20.69

    -0.34%

  • BP

    0.2300

    43.81

    +0.52%

  • JRI

    -0.0700

    12.14

    -0.58%

  • BCE

    -0.1400

    23.67

    -0.59%

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.

Y.Havel--TPP