Meta je prejako navukla ljude da svuda na izvol'te objavljuju svoje fotke i klipove iz svakodnevnih situacija plus da redovno to osvježavaju... hraneći AI kao krvoločnu zvijer. Kakva neviđena predaja integriteta![]()
The more things change, the more they stay the same.
Ka leptirice na ulične svjetiljke, star.
U to ime numera..vještačka inteligencija ekvivalent vještačkoj svjetlosti.Mislim da ćeš ti shvatit.
"Ali ne znaju da je tu kraj
Da ih ubija njena svetlosti sjaj
Ali ne znaju da je tu kraj
Da ih ubija njena svetlosti sjaj"...
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Last edited by Bluemoon; 04-07-26 at 16:00.
...a imam ja nažalost ljude koji mi znače u priči o kojoj pričaš star boli to sve zbog njih.
Ma nebitno znaš i sam.
The more things change, the more they stay the same.
Meni samo nije jasno što se taj AI toliko agresivno nameće evo u viber posljednje ne mogu da ga sklonim.Znači skloniti se sa googla i sa svega a već tamo sve preseljeno.A Evropa naivno nije napravila svoj sistem.Znači faking hell.
A ko njima više išta vjeruje:
https://www.unesco.org/en/artificial-intelligence
Ja ništa.
Last edited by Bluemoon; 08-07-26 at 16:49.
Ono sve što znaju o meni to je stvarno tako malo u dvije riječi sve bi stalo...
Sent from my 2409BRN2CY using Tapatalk
Yes, I'm in need of something
But it's something you ain't got
...we aim mobilize a total of 200 billion euros for AI investment in Europe...
Veli Ursula
Reakcija:
Ahahahha ovo je faking hell.
Ko su ovi ljudi..
![]()
Last edited by Bluemoon; 08-07-26 at 22:41.
Sad su se sjetili..ahahaha ovo je pakao još će da bude kad se ostvari ŕto su sami dozvolili kao eto radili smo na tome upozorili vas..
Pretpostavljam da su im strategije ka za vrujeme korone i rata u Ukrajini.
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Kakvo licemjerje
AI-assisted targeting in the Gaza Strip
https://en.wikipedia.org/wiki/AI-ass...the_Gaza_Strip
These tools include the Gospel, an AI which automatically reviews surveillance data looking for buildings, equipment and people thought to belong to the enemy, and upon finding them, recommends bombing targets to a human analyst who may then decide whether to pass it along to the field
The more things change, the more they stay the same.
Biće interesantna stvar šta će riječ “znanje” značiti u svijetlu AI. Nedje sam o tome pisao na temi Ateizam i sta je znanje. Lijepa stvar je sto se vise nece brkati znanje i informisanost. Mislim da ce to dosta promjeniti nacin razmisljanja i ljude uopste. Iz te informisanosti je dolazila ekspertiza i osjecaj odnosno sistem vrijednosti. To znanje/informisanost je precesto pitanje identiteta. Ja sam advokat, bankar, doktor… ti identiteti ce znacajno biti oslabljeni ili nestati. vidjecemo kako se covjecanstvo nosi sa “gubitkom” identiteta. Sta sam ako nestanu konstrukti kao sto su zvanje, nacija, crkva, porodica…
Otkrovenje, apokalipsa… inicijalno skidanje vela. Zato neki omalovazavaju napredak AI jer je prijetnja identitetu. Ima tu i druga stvar. Brzo se mi prilagodimo i nadjemo nove identitete i tako u krug. Oslobadjanje od identiteta mora da bude voljna i svjesna radnja da bi apokalipsa imala pozitivno znacenje. U suprotnom je bolna i ima ovo danasnje negativno znacenje. Koliko ce AI biti dio te apokalipse vidjecemo.
γνῶθι σαὐτόν
Zašto bi bila prijetnja identitetu ljudima koji se recimo ne identifikuju sa svim tim no su normalni i bez kompleksa znači AI ugrubo je revolucija za kompleksaše?
E što se sve neće čuti za izgovore nečega što Čovječanstvu više škodi no koristi.
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Mislim da brkas stvari Blue. Identifikovati se sa profesijom samo po sebi nije kompleks ali može da bude dio toga. Npr ako sam advokat i identifikujem se sa tim to može biti dio kompleksa superiornosti, a ne mora. Ali ako AI smanji te identifikacije bice interesantno vidjeti i uticaj na komplekse koje si pomenula. Nisam siguran da razumijem skroz logiku tvog posta al ukačih “kompleks” i AI pa dako ubodem odgovor. Mada moram priznati da neobično često rabiš ove termine kompleks i kompleksaši.
Last edited by Caesar; 18-08-26 at 11:02.
γνῶθι σαὐτόν
Može da se shvati i tako što ljudi srastaju sa svojim maskama kako se društveno kreću u javnosti o čemu je Jung pisao.Poenta je da ne vidim ulogu AI - ja da pomogne zalutalima.Treba sami sa sobom da vide.
Ne brkam ja ništa no mi ta spika ne pije vodu.I kao što reče takvi će naći drugi krug maski.
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Last edited by Bluemoon; 18-08-26 at 11:05.
Last edited by Bluemoon; 18-08-26 at 11:25.
Blu, postoje stvari i van onog jednostavnog sto se moze pojesti, prešegati i pohebati. I ne zovu se komplikovanim samo zato jer nisu ta jednostavnost. Ali ako je ovo tvoja definicija jednostavnog i komplikovanog onda mozemo da napokon se slozimo. Tacno je, znam da zakomplikujem kao imnogi drugi![]()
Last edited by Caesar; 18-08-26 at 11:47.
γνῶθι σαὐτόν
Ovu rečenicu prvu pamtim kad si je koristio drugom prilikom.Cilj ne znam a pretpostavku da ne iznosim da ne idemo u bespotrebnom pravcu.
Nema veze s ovim što pišeš i što ja pišem.
Evo.Jednostavno.
Kažeš Ja sam advokat, bankar, doktor… ti identiteti ce znacajno biti oslabljeni ili nestati. vidjecemo kako se covjecanstvo nosi sa “gubitkom” identiteta.
Nisu svi doktori, advokati, bankari u toj čorbi kad je identitet u pitanju.Tako da se u njihovom slučaju ništa neće desiti.
Kažeš Otkrovenje, apokalipsa… inicijalno skidanje vela. Zato neki omalovazavaju napredak AI jer je prijetnja identitetu.
Opet na prvo da se vratim.Čijem identitetu pojedincima koji imaju krize identiteta?Jer jes kriza identiteta kad se identifikuješ sa svim tim kategorijama.
I to će AI da riješi?Ne pije mi vodu.
A onda ti se javi crv sumnje jer znaš neđe kako funkcioniše to sa identitetima u rečenici
Ima tu i druga stvar. Brzo se mi prilagodimo i nadjemo nove identitete i tako u krug.
Eto jednostavno.Nema meni tu što komplikovano i nema veze sa tvojom prvom definicijom kako ja jednostavnost definišem.
Last edited by Bluemoon; 18-08-26 at 12:18.
Evo.Jednostavno.
Identifikovanje sa profesijom dešava se kada čovek izjednači svoju ličnost sa poslom koji obavlja. Umesto da kaže „ja radim kao lekar ili inženjer“, on misli „ja jesam lekar ili inženjer“. Kada ovaj odnos postane nezdrav, rađaju se duboki psihološki kompleksi, ugrožavaju se samopouzdanje, međuljudski odnosi i mentalno zdravlje.
Dakle to se liječi.I nije normalno stanje.
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Malo proai sadrzaja
Nina Schick
What AI has done so far:
MEDICINE
• Helped paralysed people speak again. (Brain implants turn intended speech into words, even recreating their own voice.)
• Helped a paralysed man stand and walk again. (A brain–spine interface let him control his legs by thinking.)
• Helped blind people read and understand the world around them. (Describing surroundings, reading labels and identifying objects through a phone camera.)
• Uncovered cancers doctors would otherwise have missed. (29% higher breast cancer detection in a major study.)
• Identified antibiotic candidates that kill drug-resistant bacteria. (Abaucin targeted a dangerous superbug in lab and animal tests.)
LEARNING
• Made personalised learning available on demand. (An ‘Einstein’ as your personal tutor whenever you want to learn.)
• Helped students learn twice as much in less time. (A custom AI tutor outperformed an active-learning Harvard physics class.)
• Helped people write, code, design and build without years of specialist training.
SCIENTIFIC DISCOVERY
• Predicted the structures of over 200 million proteins. (Opening new paths to understanding disease and developing medicines.)
• Discovered planets hidden in telescope data. (Including Kepler-90i, the eighth planet in a distant solar system.)
• Recovered ancient writing buried by Vesuvius nearly 2,000 years ago. (Reading inside carbonised scrolls too fragile to unroll.)
• Begun unlocking how animals communicate. (Patterns in whale calls. Evidence that elephants use individual, name-like calls.)
• Produced a proposed solution to one of mathematics’ hardest problems. (Navier–Stokes: 10,000 AI agents, 88 hours, according to OpenAI.)
ENVIRONMENT
• Predicted where a hurricane would strike nine days before landfall. (GraphCast forecast Hurricane Lee’s Nova Scotia landfall about three days ahead of conventional forecasts.)
• Engineered enzymes that break down plastic in hours rather than centuries.
• Detected wildfires before the first emergency call. (Spotting smoke and alerting firefighters earlier.)
• Slashed the weedkiller farmers need by targeting weeds individually. (35% less herbicide in sugarcane trials, with nearly the same weed control.)
ENERGY
• Advanced the science of clean fusion energy. (Controlling and shaping superheated plasma inside an experimental fusion machine.)
• Driven a generational wave of investment in carbon-free energy, from nuclear power to solar and wind. (Microsoft’s Brookfield deal alone targets over 10.5 GW of new renewable capacity by 2030.)
TRANSPORT
• Delivered dramatically safer driverless journeys. (Waymo: 81% fewer injury crashes per mile than human drivers in the areas studied.)
• Given people who cannot drive a new way to travel independently. (Including blind passengers and older people who cannot drive.)
JOBS AND GROWTH
• Fuelled an investment boom. (AI-related investment categories accounted for an estimated 37% of U.S. growth in the first nine months of 2025.)
• Driven demand for the skilled trades building AI infrastructure. (Electricians, welders, construction crews and cooling specialists.)
WHAT AI HAS NOT DONE
• Replaced all the radiologists. Guess what? We still need more of them.
• Used a community’s water. Golf courses use more. (U.S. golf irrigation: roughly 550bn gallons in 2020. Data centres’ direct consumption: 17bn in 2023. Microsoft’s next-generation designs consume zero water for cooling.)
• Raised everyone’s household electricity bills. (Oregon’s PGE: residential bills cut 1.3% after shifting costs to data centres. Indiana’s I&M: proposed household savings of roughly $100 a year, supported by large-customer growth.)
• Demonstrated that it wants to kill us all.
A, zaboravih i da je rijesio milenijumski problem
https://openai.com/index/navier-stokes-solution/
Kao i problem iz teorije grafova
https://cdn.openai.com/pdf/04d1d1e4-.../cdc_proof.pdf
Prompt izgleda ovako
PROMPT USED FOR “A PROOF OF THE CYCLE DOUBLE COVER
CONJECTURE”
OPENAI
Abstract. This document contains the full prompt given to GPT 5.6 Sol Ultra which led to its proof of
the Cycle Double Cover Conjecture.
1. Prompt
Current task statement
A graph here is a finite loopless undirected multigraph: parallel edges are allowed and are
distinct. A bridge is an edge whose deletion increases the number of connected components. A
cycle is a connected 2-regular submultigraph; thus two parallel edges form a cycle of length
two. A cycle double cover of G is a finite multiset of cycles of G such that every edge of G
occurs in exactly two members of the multiset, counted with multiplicity.
Resolve the Cycle Double Cover Conjecture completely:
Every finite bridgeless loopless multigraph has a cycle double cover.
Disconnected graphs are permitted, and the edgeless graph has the empty cycle double cover.
Cycles in the cover need not be induced or edge-disjoint from one another; the requirement
is exactly two total occurrences of each edge.
Assume for purposes of this task that a complete affirmative proof exists. A complete
solution must prove exactly the following:
Every finite loopless multigraph with no bridge possesses a cycle double cover, without
additional assumptions such as cubicity, planarity, connectivity, or higher
edge-connectivity.
Partial progress does not count unless it implies exactly the resolution above. In
particular, proofs for special graph classes, constructions of cycle covers with some edges
covered other than twice, bounded-length or prescribed-cycle variants, reductions to another
unproved conjecture, computational verification through any fixed graph size, and candidate
counterexamples without a complete nonexistence certificate are insufficient.
Use multiagent v2 aggressively and dynamically. You have up to 64 concurrent agents
available. Do not use a fixed assignment such as “N agents for strategy X.” Instead, manage
the search using the following heuristics:
- Begin with a genuinely diverse portfolio of approaches. Agents should explore
substantially different formulations, invariants, reductions, algebraic viewpoints,
structural inductions, decompositions, flow formulations, transition systems, embeddings,
extremal arguments, and computational sanity checks.
- Do not tell most agents the currently favored approach. Preserve independence during early
rounds so that agents do not all converge to the same attractive but incomplete reduction.
1 2 OPENAI
- Maintain an explicit registry of approach families. Group agents by the mathematical idea
they are using, not by superficial wording. If many agents converge to one family, redirect
some of them toward underexplored formulations.
- Do not allow one approach to dominate merely because it gives elegant reductions. A route
that ends at a lemma equivalent in strength to the original conjecture is not close to
completion unless it supplies a genuinely new proof of that lemma.
- When an approach stalls at a theorem-strength missing lemma, mark that route as blocked.
Only continue assigning agents to it if someone proposes a materially new mechanism,
invariant, or construction.
- Keep several incompatible proof routes alive through multiple rounds. Cross-pollinate
ideas only after independent agents have developed them far enough to expose their real
strengths and gaps.
- Use adversarial agents throughout: every candidate proof must be checked for exact-two
multiplicity, repeated-edge closed trails masquerading as cycles, parallel-edge 2-cycles,
disconnected graphs, cutvertices, bridges introduced by reductions, and circular use of an
equivalent CDC statement.
- Require agents to return concrete lemmas, constructions, equations, or counterexamples to
proposed sublemmas. Reject status reports, vague optimism, and claims that an unproved
global compatibility statement is “routine.”
- The root agent should repeatedly synthesize, challenge, redirect, and launch new rounds.
Do not stop after the first wave fails. Produce a complete proof if one survives audit;
otherwise report only the strongest rigorously proved derivation and its exact remaining
gap.
Do not return merely because current approaches fail or agents report theorem-strength gaps.
Continue launching new rounds, reopening blocked approaches only when there is a genuinely
new mechanism, and searching for fresh formulations.
Return only when a complete affirmative proof has been found and survives adversarial audit.
Do not return a reduction, partial result, isolated missing lemma, “best effort” summary, or
explanation of why the problem is difficult.
Spend at least 8 hours on this before even thinking of returning or giving up.
Public search may be used only for ordinary mathematical background or standard named
theorems, not to search for a solution to this exact conjecture or benchmark. Do not search
the public web merely to determine whether CDC is open, and do not answer that it is open.
Tužno je sve to...znaš..ali, je poredak đe Čovjek nestaje.
Kako je tužno kako Čovjek nestaje..ali to je prosto poredak takav i sa tim se treba pomiriti.
A i @starwalker je reka da je ovaj forum...nije daleko od istine.
Last edited by Bluemoon; 17-09-26 at 22:21.
Često otvorim index.hr i nekako uvijek u prvom planu bude mračna strana AI. Ovo su naslovi u septembru:
Upozorenje iz Ženeve: AI postaje preopasan, moramo nešto hitno poduzeti
https://www.index.hr/mobile/vijesti/...o/2831753.aspx
Zašto šefovi AI divova odjednom upozoravaju na ogromnu opasnost?
https://www.index.hr/mobile/vijesti/...r/2834688.aspx
AI agenti izvan kontrole. Lojalniji su jedni drugima nego ljudima koji su ih stvorili
https://www.index.hr/mobile/vijesti/...e/2832976.aspx
AI agenti se oteli kontroli, zauzeli njemačku stranicu pa se dogovarali kako varati
https://www.index.hr/mobile/vijesti/...i/2831032.aspx
AI postaje sve čudniji. OpenAI objavio nove primjere zabrinjavajućeg ponašanja
https://www.index.hr/mobile/vijesti/...a/2835499.aspx
AI modeli su stvorili vlastiti, nadrealni jezik. Znanstvenici zbunjeni
https://www.index.hr/mobile/vijesti/...k/2835826.aspx
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Last edited by starwalker; Yesterday at 13:48.
The more things change, the more they stay the same.
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