TGFI, Volume 565: AI in the real world

You’ve heard of TGIF? This is TGFI: Things Glen Found Inter­est­ing

On Fri­days I share articles/resources about broad cul­tur­al, soci­etal and the­o­log­i­cal issues like­ly to be of inter­est to Chris­tians in col­lege. Be sure to see the expla­na­tion and dis­claimers at the bot­tom. I wel­come your sug­ges­tions, so if you read some­thing fas­ci­nat­ing please pass it my way.

Things Glen Found Interesting

  1. The Chi­nese House Church Lead­ers Who Didn’t Win Release (Angela Lu Ful­ton, Chris­tian­i­ty Today): “Geng ‘Cherie’ Peng­peng joined Zion in 2008. She met her now-hus­band, Gao ‘Joshua’ Yingjia, at the church. Like many mem­bers, Geng and Gao had advanced degrees at top Chi­nese schools—Geng a PhD in the­o­ret­i­cal physics and Gao a PhD in plant genetics—but they felt God’s call to pur­sue full-time min­istry.… By June of last year, police were arrest­ing min­is­ters sev­er­al times a month. In August, they detained 27 people—including babies—at the Sun­day ser­vice in Jiax­ing and sought to arrest Su on charges of par­tic­i­pat­ing in an ille­gal gath­er­ing.”
  2. What does AI look like? (David Zax, IBM): “A mod­ern AI sys­tem like Chat­G­PT (or Claude, DeepSeek or Gran­ite) is a series of spread­sheets filled with num­bers. It’s a curi­ous irony that this ver­bal tech­nol­o­gy is, at root, almost pure­ly numer­i­cal. How many spread­sheets? It depends on the mod­el. For the rest of this arti­cle, we’ll focus our ener­gy on OpenAI’s GPT‑3, released in 2020, which served as the basic ‘engine’ of the break­out prod­uct Chat­G­PT two years lat­er. Though you may well run a more souped-up mod­el today, it works basi­cal­ly the same way. GPT‑3 has 577 spread­sheets. Peo­ple in the AI indus­try call these ‘ten­sors,’ but it’s fair to think of them as spread­sheets. Each and every cell of each and every spread­sheet is filled with a sin­gle, small num­ber (typ­i­cal­ly between ‑1.0 and 1.0).… The very first spreadsheet—which has a spe­cial func­tion we’ll dis­cuss soon—is the biggest: it’s 50,257 rows tall, and 12,288 columns wide. (If you do the math, that’s 617,558,016 tiny num­bers, just in the first spread­sheet.) Then, after the very first spread­sheet, the remain­ing 576 set­tle into a repeat­ing pat­tern of shapes: first four squares, 12,288 rows and 12,288 columns. Then a wide rec­tan­gle, 12,288 rows tall but four times as wide. Then a tall rec­tan­gle with the same pro­por­tions, only rotat­ed upright, 12,288 columns wide.”
    • From an alum­nus. Way more inter­est­ing than I antic­i­pat­ed.
  3. Exam­ples of AI in the real world
    • Pas­tors Using AI to Help Write Ser­mons Grap­ple With Where to Draw the Line (Anvee Bhutani, Wall Street Jour­nal): “Stetler, the Okla­homa City pas­tor, has made mis­takes with AI. Two years ago, rush­ing to fin­ish a slide for a ser­mon on a South Pacif­ic mis­sion­ary, he dropped in an AI-gen­er­at­ed image with­out check­ing it close­ly. After the ser­vice, a con­gre­gant approached him. ‘Did you make that with AI?’ Yes, he said. ‘Did you know there’s a top­less woman in the back­ground?’ He apol­o­gized on the spot. He tells that sto­ry now as a cau­tion­ary tale to any­one he’s intro­duc­ing to the tools.”
      • HAHAHAHAHAHAHAHA. Some wild sto­ries in here.
    • Human math­e­mati­cians are being out­coun­terex­am­pled (Kevin Buz­zard, blog): “A few days ear­li­er I had got an email from a pro­fes­sor in the maths depart­ment here at Impe­r­i­al, express­ing sur­prise that some of our grad­u­ate stu­dents were pay­ing $200 per month to access mod­els such as Sol and Fable. He said that he thought that these peo­ple were crazy. I did not imme­di­ate­ly respond. But after meet­ing with Andrew I emailed the pro­fes­sor back and told him that in my opin­ion, any PhD stu­dent who was not pay­ing $200 per month to access these tools was crazy. In fact dur­ing the work­shop I learnt from Har­vard PhD stu­dent Bryan Wang that Har­vard were already giv­ing free Fable access to all PhD stu­dents, post-docs and fac­ul­ty at Har­vard.”
    • Politi­cians Are Try­ing to Change What Chat­bots Say About Them (Stu­art A. Thomp­son and Tiffany Hsu, New York Times): “Can­di­dates have long had to wor­ry about their rep­u­ta­tions among vot­ers. Now, they have to wor­ry about what A.I. thinks about them, too. And a new indus­try has sprung up to help them nav­i­gate this world.… Cau­cus AI ran an exper­i­ment to see how long it took for con­tent new­ly pub­lished to Wikipedia to end up in a chatbot’s answer. The result: about 12 min­utes. That sug­gests that can­di­dates can already insert their own infor­ma­tion into an A.I.’s respons­es by tweak­ing pub­lic infor­ma­tion ‘quick­ly, unvet­ted and with­out any­one on the oth­er side watch­ing,’ the com­pa­ny wrote in a blog post about its find­ings.”
    • A.I. Drones Are Com­ing. We Are Not Ready. (W.J. Hen­ni­gan, New York Times): “Defense Sec­re­tary Pete Hegseth said in Jan­u­ary that he intends to make the mil­i­tary ‘an ‘A.I. first’ warfight­ing force across all domains.’ Through­out the Pen­ta­gon, Uncle Sam-style recruit­ment posters with Mr. Hegseth’s like­ness declar­ing ‘I want YOU to use A.I.’ are plas­tered on the walls. His depart­ment has request­ed $54.6 bil­lion in next year’s bud­get for the Defense Autonomous War­fare Group, or DAWG, a body recent­ly set up to coor­di­nate all autonomous weapons pro­grams across U.S. forces. The Unit­ed States isn’t alone in this pur­suit. Around the world, and par­tic­u­lar­ly in Chi­na and Rus­sia, an arms race is emerg­ing to mass-pro­duce autonomous, A.I.-operated war machines. Pres­i­dent Vladimir Putin of Rus­sia declared in 2017 that who­ev­er leads in A.I. ‘will become the ruler of the world.’ Pres­i­dent Xi Jin­ping of Chi­na has poured bil­lions of dol­lars into A.I. devel­op­ment for the country’s mil­i­tary. Pro­to­types of small­er, rudi­men­ta­ry A.I.-assisted weapons have already been report­ed in action in Ukraine, Libya, Azer­bai­jan and Gaza.”
    • China’s A.I. Play Is Dif­fer­ent From America’s (Ross Douthat, New York Times): “Amer­i­can A.I. com­pa­nies and the nation­al secu­ri­ty state seem to assume that we’re already at a point where you sim­ply can’t let the world use the best A.I. mod­els with­out con­trols and guardrails any more than you’d ship atom­ic bombs or ICBMs to ran­dom homes or pri­vate com­pa­nies. Where­as the Chi­nese are will­ing to shrug and push the enve­lope and let Amer­i­ca fret about safe­ty and sov­er­eign­ty, on the assump­tion that A.I. is a nor­mal tech­nol­o­gy and the safe­ty con­cerns will get fig­ured out along the way.”
  4. Con­tra Pritchard On Lib­er­al Hap­pi­ness (Scott Alexan­der, Astral Codex Ten): “The ele­gant math­e­mat­i­cal response is: hap­pi­ness scales with log(income), not with income: ‘In a large U.S. sam­ple, the shape of the asso­ci­a­tion between hap­pi­ness and Log(income) was extreme­ly sys­tem­at­ic: from $10,000/y to over $500,000/y, aver­age hap­pi­ness rose almost per­fect­ly lin­ear­ly with Log(income), with group-lev­el cor­re­la­tions of 0.98–0.99 across a range of hap­pi­ness mea­sures, includ­ing both in-the-moment expe­ri­ence and over­all life sat­is­fac­tion.’ So if income increased 225x since the medieval era, then using observed coef­fi­cients, hap­pi­ness should have increased about three points on a 1–10 scale. If the aver­age serf would have rat­ed his con­di­tion 3/10, we should be at 6/10.”
    • An absolute­ly fas­ci­nat­ing way to mod­el the idea that mon­ey has dimin­ish­ing pow­er to increase hap­pi­ness as wealth increas­es.
  5. Amer­i­ca Has 2 Polit­i­cal Par­ties but 8 Polit­i­cal Tribes (Kris­ten Soltis Ander­son, New York TImes): “There’s noth­ing wrong, of course, with being a par­ty loy­al­ist, but it’s worth remind­ing our­selves that most of us don’t line up neat­ly with the plat­form of either of America’s two major par­ties. It’s also worth keep­ing in mind that there’s a rea­son Democ­rats range from the afore­men­tioned demo­c­ra­t­ic social­ist Rep­re­sen­ta­tive Oca­sio-Cortez to the cen­trist Sen­a­tor Elis­sa Slotkin. And why Repub­li­cans range from the mod­er­ate Sen­a­tor Lisa Murkows­ki to the pop­ulist Rep­re­sen­ta­tive Anna Pauli­na Luna. It may be more use­ful to think of our two par­ties as two coali­tions. For now, at least, both have to accept some lev­el of ide­o­log­i­cal inco­her­ence in order to cob­ble togeth­er a major­i­ty.”
  6. The inter­view that exposed academia’s clue­less­ness (Megan McAr­dle, Wash­ing­ton Post): “Car­olyn Rouse, the pres­i­dent of the Amer­i­can Anthro­po­log­i­cal Asso­ci­a­tion, was not one to stay silent while out­siders claimed that her field had aban­doned rig­or­ous argu­ment in favor of social jus­tice ortho­doxy. No, sir. Instead, she opened her mouth and proved it. Her inter­view with the Chron­i­cle of High­er Edu­ca­tion has to be read to be believed. No, strike that, I’ve read it three times, and I am still strug­gling to con­vince myself that it’s real.”
    • The inter­view in ques­tion: Is Anthro­pol­o­gy Hope­less­ly Politi­cized? (Stephanie M. Lee, Chron­i­cle of High­er Edu­ca­tion) — “So the idea that there are two sex­es is just fac­tu­al­ly incor­rect, and to force bio­log­i­cal anthro­pol­o­gists to teach that is the equiv­a­lent of turn­ing an astron­o­my depart­ment into an astrol­o­gy depart­ment. So I don’t know why we’re debat­ing that. ”
  7. Zohran Mam­dani Does­n’t Know What Work­ing Class Means (Rob K. Hen­der­son, Sub­stack): “Peo­ple often con­flate social class with eco­nom­ic class. This allows us to talk about the for­mer while pre­tend­ing we are talk­ing about the lat­ter.… The focus on eco­nom­ic class (rather than social class) pro­motes the belief that we could have an egal­i­tar­i­an soci­ety if every­one sim­ply had enough mon­ey. This focus is espe­cial­ly con­ve­nient for the upper and upper mid­dle class­es. It allows them to express con­cern about inequal­i­ty with­out impli­cat­ing them­selves.”
    • A super-inter­est­ing arti­cle that explains social class very help­ful­ly.

Less Serious Things Which Also Interested/Amused Glen

Why Do You Send This Email?

In the time of King David, the tribe of Issachar pro­duced shrewd war­riors “who under­stood the times and knew what Israel should do” (1 Chron 12:32). In a sim­i­lar way, we need to become wise peo­ple whose faith inter­acts with the world. I pray this email gives you greater insight, so that you may con­tin­ue the tra­di­tion of Issachar.

Disclaimer

Chi Alpha is not a par­ti­san orga­ni­za­tion. To para­phrase anoth­er min­is­ter: we are not about the donkey’s agen­da and we are not about the elephant’s agen­da — we are about the Lamb’s agen­da. Hav­ing said that, I read wide­ly (in part because I believe we should aspire to pass the ide­o­log­i­cal Tur­ing test and in part because I do not believe I can fair­ly say “I agree” or “I dis­agree” until I can say “I under­stand”) and may at times share arti­cles that have a strong par­ti­san bias sim­ply because I find the arti­cle stim­u­lat­ing. The upshot: you should not assume I agree with every­thing an author says in an arti­cle I men­tion, much less things the author has said in oth­er arti­cles (although if I strong­ly dis­agree with some­thing in the arti­cle I’ll usu­al­ly men­tion it). And to the extent you can dis­cern my opin­ions, please under­stand that they are my own and not nec­es­sar­i­ly those of Chi Alpha or any oth­er orga­ni­za­tion I may be per­ceived to rep­re­sent. Also, remem­ber that I’m not report­ing news — I’m giv­ing you a selec­tion of things I found inter­est­ing. There’s a lot hap­pen­ing in the world that’s not mak­ing an appear­ance here because I haven’t found stim­u­lat­ing arti­cles writ­ten about it. If this was for­ward­ed to you and you want to receive future emails, sign up here. You can also view the archives.

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