Athléimneacht in aois na hintleachta saorga
An intleacht shaorga, teicneolaíochtaí ilchuspóireacha, agus cén fáth gurb í an athléimneacht obair ár nglúine.
Tá OpenAI Foundation ann chun a chinntiú go rachaidh intleacht shaorga ghinearálta chun tairbhe don chine daonna ar fad.
Táimid ag obair gan staonadh chun coinneáil suas leis an dul chun cinn tapa san intleacht shaorga féin. I mí Aibreáin, d’fhógair an Fhondúireacht ár gcéad $100 milliún de dheontais sna hEolaíochtaí Beatha agus Galair a Leigheas, agus é mar uaillmhian aici cuidiú le galair amhail galar Alzheimer a chosc agus a chóireáil trí leas a bhaint as intleacht shaorga ardleibhéil. An tseachtain seo caite, d’fhógair an Fhondúireacht ár gclár Poist agus Todhchaíochtaí Eacnamaíocha, le súil tuiscint a fháil ar an méid a chiallaíonn obair agus rathúnas eacnamaíoch do na glúnta atá le teacht, agus é sin a mhúnlú.
Inniu, táimid ag cur lenár bhfís don chéad mhórchlár eile — ag cinntiú, de réir mar a fhásann cumais na hintleachta saorga, go bhfásfaidh cumas na sochaí leas a bhaint aisti chomh tapa céanna. Tugaimid athléimneacht na hintleachta saorga ar an obair seo: an cur chuige éiceachórais atá riachtanach chun rioscaí na hintleachta saorga a mhaolú, ionas go mbeidh an tsochaí in ann leas a bhaint as na tairbhí go hiomlán.
Tá ár gcuid oibre tosaithe cheana féin. Sa chúpla mí gairid ó chuireamar tús lenár gcuid oibre, tá an Fhondúireacht ag obair chun breis agus $130 milliún i ndeontais d’eagraíochtaí a thabhairt chun críche trínár gclár athléimneacht IS, agus roinnfear iad sin go poiblí gan mhoill, agus beidh tuilleadh le teacht.1
Patrún na dteicneolaíochtaí claochlaitheacha
Is fearr a thuigtear tábhacht athléimneachta na hintleachta saorga trí lionsa na dteicneolaíochtaí a bhí ann roimhe seo agus a mhúnlaigh stair an chine dhaonna ar bhealach suntasach.
Ó am go chéile, tagann teicneolaíocht chun cinn a athmhúnlaíonn an tsochaí ó bhonn. Tugann eacnamaithe “teicneolaíochtaí ilfhóinteacha” orthu seo. Dóiteán. An clóphreas. Leictreachas. An t-idirlíon. Lean gach ceann acu cúrsa comhchosúil: nuálaíocht sciobtha, rioscaí dáiríre, agus institiúidí ag brostú chun coinneáil suas. Ach léiríonn gach sampla freisin cad is gá chun teicneolaíocht chumhachtach a dhéanamh sábháilte.
Ba í an tine a d’fhág sibhialtacht dhaonna indéanta. Choinnigh sí te muid, chócaráil sí ár mbia, agus chosain sí sinn ar chreachadóirí. Dóigh sí ár gcathracha go talamh freisin. Le himeacht ama, d’fhorbair na sochaithe athléimneacht: ábhair atá frithsheasmhach in aghaidh dóiteáin, líonraí hiodrantí, briogáidí dóiteáin ghairmiúla agus cóid fhoirgníochta. Éiceachóras, ciseal ar chiseal.
Lean an leictreachas an bealach céanna. Tar éis do Stáisiún Pearl Street in Edison Manhattan a shoilsiú in 1882, tháinig dóiteáin, leictreamharuithe agus scaoll poiblí de thoradh an leictreachais. Gan bearta cosanta ar nós sreanga inslithe, scoradáin agus cóid, leictreamharaíodh oibrithe agus daoine a bhí i láthair i gcathracha ar fud na tíre. Phléigh cathracha ar cheart an turgnamh a thréigean go hiomlán. Ina ionad sin, de réir mar a chuaigh an teicneolaíocht chun cinn, bhunaíomar comhlachtaí tástála neamhspleácha amhail Underwriters Laboratories, caighdeáin tionscail amhail an Cód Náisiúnta Leictreachais, agus infheistíocht phoiblí a thug leictreachas chuig pobail a bhí fágtha ar lár ag an margadh. Rinne gach ciseal an leictreachas níos sábháilte agus níos inrochtana; inniu, tá sé chomh sábháilte sin gur féidir lasc a chasadh ag páiste agus go lasann solas.
Seo an chuma a bhíonn ar an athléimneacht nuair a dhéantar i gceart í.
Tá éiceachóras athléimneachta de dhíth ar an intleacht shaorga
Tá an intleacht shaorga ag leanúint an treocht chéanna le teicneolaíochtaí roimhe seo, ach ag bogadh ar luas nach bhfacthas riamh cheana.
Táimid fós i luathlaethanta na hintleachta saorga, ach tá na tairbhí soiléir cheana féin: tá an intleacht shaorga ag ísliú na mbacainní ar ghnó a thosú, ag leathnú na rochtana ar oideachas, ag cur dlús le fionnachtain eolaíoch, agus ag athrú leighis ó bhonn.
Ag an am céanna, tá na rioscaí ag teacht chun cinn chomh tapa céanna — agus iad ina n-íomhá scátháin de bhuntáistí na hintleachta saorga. Is féidir leis an bhfás céanna a chruthaíonn tionscail nua na tionscail atá ann cheana a chur bun os cionn agus cur isteach ar ghairmeacha. D’fhéadfadh na córais chéanna ar féidir leo cabhrú le daoine óga foghlaim agus cruthú iompar díobhálach a spreagadh freisin. D’fhéadfadh na huirlisí a chuireann dlús le taighde bitheolaíoch an tairseach chun pataiginí díobhálacha a chruthú a ísliú. Agus d’fhéadfadh cumas na hintleachta saorga cód a scríobh, sna lámha míchearta, bonneagar ríthábhachtach a chur i mbaol.
Chreid foireann luath OpenAI go raibh sé riachtanach chun tairbhe a bhaint as an intleacht shaorga don tsochaí go réiteodh siad an fhadhb ailínithe theicniúil. Tá sé sin fós ríthábhachtach—agus lárnach dár gcuid oibre—ach creidimid anois gur cuid amháin den phuzal é. De réir mar a leathnaíonn an intleacht shaorga ar fud earnálacha agus náisiúin, beidh gá ag an tsochaí freisin le taighde neamhspleách, bonneagar poiblí, comhordú tionscail, agus réimsí saineolais go hiomlán nua. I mbeagán focal, beidh gá le hathléimneacht na hintleachta shaorga.
Tá sé roghnaithe againn ár gcuid oibre tosaigh a dhíriú ar cheithre réimse2 ina dtagann rioscaí móra gearrthéarmacha agus tionchar láithreach le chéile:
Bith-athléimneacht chun cabhrú le paindéimí arna n-innealtóireacht amach anseo a chosc;
Cibear-athléimneacht chun oibriú chun sábháilteacht chórais ríthábhachtacha ár ndomhain a chinntiú;
Sábháilteacht samhlacha intleachta saorga chun smacht na daonnachta ar na samhlacha a chruthaímid a dhaingniú; agus
Tionchar na hintleachta saorga ar dhaoine óga chun cabhrú leis an teicneolaíocht a dhéanamh ina fórsa dearfach do na glúnta atá le teacht.
Níl ár gcuid oibre ach ag tosú. Tá sé beartaithe againn tuilleadh eolais a roinnt faoinár straitéisí agus faoinár ndeontais tosaigh i ngach réimse, agus leathnú chuig réimsí eile le himeacht ama.
Bio-resilience
AI will enable biological research to move at unprecedented speed, helping develop new cures and public health improvements that enable us to all live healthier and longer. However, these same capabilities could also be misused by malicious actors, lowering the barrier to designing harmful pathogens.
The age of AI requires a renewed focus on biosecurity. Because advanced AI systems could be misused by bad actors to help create a wide range of biological threats, we will prioritize pathogen-agnostic biosecurity solutions. This will require investments across prevention, detection, and defense. We need to make it harder for malicious actors to access the expertise, equipment, and materials to create biological threats, improve our ability to identify and track novel outbreaks early, and strengthen the technologies—such as protective equipment, indoor air cleaning systems, and medical countermeasures—needed to respond quickly and effectively.
Cyber-resilience
AI has begun to rapidly reshape the cybersecurity landscape. The work that once required specialized teams can now be assisted or automated by capable models. At the same time, rapidly-improving AI capabilities can also be used to accelerate cyberdefenders, including by identifying and patching vulnerabilities and accelerating response.
Many large companies and private actors can spend heavily on cyber to secure their own systems, including with new advances in AI. We anticipate focusing significant resources on securing other important societal actors that are less resourced and will have a much harder time deploying AI-ready cyberdefenses as quickly as needed. In parallel, we are also focused on preparing for novel security challenges that artificial general intelligence will ultimately bring.
AI model safety
AI model safety focuses on the behavior of the systems themselves—whether they are truthful, reliable, and aligned with human intent. In a world where this goes awry, models can break out and behave in unpredictable ways, deceiving us or pursuing goals beyond their design. Getting this right becomes increasingly important as AI systems grow more autonomous and approach—and eventually surpass—human-level intelligence.
AI companies are investing substantial resources in model safety. However, the importance of this challenge calls for a broader, more robust ecosystem: independent institutions to evaluate model safety, public infrastructure to verify models’ safe deployment in practice, and continued advances in alignment science that advance the field broadly.
AI’s impact on young people
Young people are often the earliest adopters of new technologies, using them to learn, create, communicate, and explore the world. AI is no exception. But as these tools become an increasing part of young people’s daily lives, it is critical that we develop a stronger evidence base to understand its impacts.
Families, schools, policymakers, and community organizations are all grappling with questions about how and when young people engage with AI—including its impact on human connection, learning, and development. Our initial focus will be on advancing independent research to help guide those decisions—to better understand where AI can support development, the risks it may introduce, and the contexts that shape those effects.
These insights should drive broad safety standards and design principles that guide how any AI product is developed, how schools choose to deploy them, and if and how families decide to incorporate these technologies into their lives.
The work ahead
There is one critical difference between AI and the technologies that came before it: speed.
Fire resilience took millennia. Electricity resilience took decades. AI resilience is evolving in a matter of years. The systems that make it safe, reliable, and broadly beneficial must be built alongside it.
If we get it right, AI can become part of the foundational infrastructure of modern life—expanding access to knowledge, accelerating discovery, and improving lives at a global scale.
But that outcome isn’t guaranteed. No general purpose technology ever made itself safe.
Resilience is a permanent discipline that requires many people and institutions to build, invest, and collaborate. That is the work ahead, and it is one of the defining challenges of our time. We hope you’ll join us.
Footnotes
- 1
The OpenAI Foundation expects to invest more than $1 billion across several programs over the next year, and $25 billion in AI Resilience and Life Sciences & Curing Disease in the years ahead.
- 2
The economic impacts of AI are part of the broader AI resilience agenda. Given the scale of the economic transition, the Foundation is developing this work as a separate program. Read more here.
- Thank you to Zach Sims for helping develop this piece.
- Acknowledgements: Jeff Arnold, Naomi Bashkansky, Sean Coey, Rebecca Distler, Adrien Ecoffet, Tarun Gogineni, Mike Heimowitz, Alice Lee, Leyan Lo, Rodney Manabat, Mike McCormick, Cody Nguyen, Yonadav Shavit, Kendal Simon, Divya Siddarth, Jacob Trefethen.