Technology · 10.4

Artificial Intelligence

Quantified news impact based on deduplicated, quality-reviewed events in a single 3-day window.

Average net impact+17weighted per event

Average gross impact20absolute weighted average

Events63same period

Confidence76%model average

Raw intensity67before weighting

Previous period+13net impact

Gross change+13%

Diffusion speed21.0 / day

Concentration2%

Direction disagreement14%

Source independence98%22 sources

IMPACT TREND

3-day effective impact

Positive 58 · Negative 3 · Mixed 2

+410-41

28 Jul, 1813 events

29 Jul, 001 event

+13

29 Jul, 067 events

+13

29 Jul, 125 events

+16

29 Jul, 189 events

+11

30 Jul, 002 events

+20

30 Jul, 069 events

+22

30 Jul, 126 events

30 Jul, 182 events

+10

31 Jul, 003 events

+41

31 Jul, 064 events

+29

31 Jul, 122 events

Current periodPrevious period

TIME HORIZON

Impact duration

Immediate0%0 cumulative effective impact

Short term16%206 cumulative effective impact

Medium term69%866 cumulative effective impact

Long term14%182 cumulative effective impact

CO-IMPACT

Related industries

EVENT EVIDENCE

Events ranked by effective impact

Page 7 of 7 · 62 events

Macro1

Macro29 Jul, 15:52mixed

ChatGPT Launch Spurs Global AI Interest, Lifts Samsung and SK Hynix Valuations, Fuels Bubble Concerns

The launch of ChatGPT by OpenAI on November 30, 2022, quickly made artificial intelligence a central topic of social attention. In the investment sector, valuations of companies associated with AI themes have continued to climb, with South Korea's Samsung Electronics and SK Hynix being notable recent cases. This has heightened market worries about a potential AI bubble.

Effective: 0
Intensity: 75
Confidence: 70%
Horizon: Medium term

Industries1

Industries28 Jul, 20:15neutral

Michael P. Frank GPT-5.6 Sol Runs 33 Hours on Fermat's Last Theorem; OpenAI Halts Task, Model Maps Dead Ends

Reversible computing expert Michael P. Frank set GPT-5.6 Sol to explore a more concise proof of Fermat's Last Theorem than the Wiles-Taylor proof, focusing on Frey curve modularity, uniform infinite descent, arithmetic abc-type inequalities, and uniform low-genus quotients. The task ran for approximately 33 hours before being forcibly terminated by OpenAI's system. The model reported that its core work was converting plausible shortcuts into verifiable statements and falsifying them, producing a 'dead end' roadmap rather than a proof.

Effective: 0
Intensity: 20
Confidence: 60%
Horizon: Medium term

Companies0

No evidence on this page.