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Apple is the only Big Tech company whose capex declined last quarter

https://sherwood.news/tech/apple-is-the-only-big-tech-company-whose-capex-declined-last-quarter/
1•elsewhen•1m ago•0 comments

Reverse-Engineering Raiders of the Lost Ark for the Atari 2600

https://github.com/joshuanwalker/Raiders2600
2•todsacerdoti•3m ago•0 comments

Show HN: Deterministic NDJSON audit logs – v1.2 update (structural gaps)

https://github.com/yupme-bot/kernel-ndjson-proofs
1•Slaine•6m ago•0 comments

The Greater Copenhagen Region could be your friend's next career move

https://www.greatercphregion.com/friend-recruiter-program
1•mooreds•7m ago•0 comments

Do Not Confirm – Fiction by OpenClaw

https://thedailymolt.substack.com/p/do-not-confirm
1•jamesjyu•7m ago•0 comments

The Analytical Profile of Peas

https://www.fossanalytics.com/en/news-articles/more-industries/the-analytical-profile-of-peas
1•mooreds•7m ago•0 comments

Hallucinations in GPT5 – Can models say "I don't know" (June 2025)

https://jobswithgpt.com/blog/llm-eval-hallucinations-t20-cricket/
1•sp1982•7m ago•0 comments

What AI is good for, according to developers

https://github.blog/ai-and-ml/generative-ai/what-ai-is-actually-good-for-according-to-developers/
1•mooreds•7m ago•0 comments

OpenAI might pivot to the "most addictive digital friend" or face extinction

https://twitter.com/lebed2045/status/2020184853271167186
1•lebed2045•9m ago•2 comments

Show HN: Know how your SaaS is doing in 30 seconds

https://anypanel.io
1•dasfelix•9m ago•0 comments

ClawdBot Ordered Me Lunch

https://nickalexander.org/drafts/auto-sandwich.html
2•nick007•10m ago•0 comments

What the News media thinks about your Indian stock investments

https://stocktrends.numerical.works/
1•mindaslab•11m ago•0 comments

Running Lua on a tiny console from 2001

https://ivie.codes/page/pokemon-mini-lua
1•Charmunk•12m ago•0 comments

Google and Microsoft Paying Creators $500K+ to Promote AI Tools

https://www.cnbc.com/2026/02/06/google-microsoft-pay-creators-500000-and-more-to-promote-ai.html
2•belter•14m ago•0 comments

New filtration technology could be game-changer in removal of PFAS

https://www.theguardian.com/environment/2026/jan/23/pfas-forever-chemicals-filtration
1•PaulHoule•15m ago•0 comments

Show HN: I saw this cool navigation reveal, so I made a simple HTML+CSS version

https://github.com/Momciloo/fun-with-clip-path
2•momciloo•16m ago•0 comments

Kinda Surprised by Seadance2's Moderation

https://seedanceai.me/
1•ri-vai•16m ago•2 comments

I Write Games in C (yes, C)

https://jonathanwhiting.com/writing/blog/games_in_c/
2•valyala•16m ago•0 comments

Django scales. Stop blaming the framework (part 1 of 3)

https://medium.com/@tk512/django-scales-stop-blaming-the-framework-part-1-of-3-a2b5b0ff811f
1•sgt•16m ago•0 comments

Malwarebytes Is Now in ChatGPT

https://www.malwarebytes.com/blog/product/2026/02/scam-checking-just-got-easier-malwarebytes-is-n...
1•m-hodges•16m ago•0 comments

Thoughts on the job market in the age of LLMs

https://www.interconnects.ai/p/thoughts-on-the-hiring-market-in
1•gmays•17m ago•0 comments

Show HN: Stacky – certain block game clone

https://www.susmel.com/stacky/
2•Keyframe•20m ago•0 comments

AIII: A public benchmark for AI narrative and political independence

https://github.com/GRMPZQUIDOS/AIII
1•GRMPZ23•20m ago•0 comments

SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
2•valyala•21m ago•0 comments

The API Is a Dead End; Machines Need a Labor Economy

1•bot_uid_life•22m ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•Jyaif•23m ago•0 comments

New wave of GLP-1 drugs is coming–and they're stronger than Wegovy and Zepbound

https://www.scientificamerican.com/article/new-glp-1-weight-loss-drugs-are-coming-and-theyre-stro...
5•randycupertino•25m ago•0 comments

Convert tempo (BPM) to millisecond durations for musical note subdivisions

https://brylie.music/apps/bpm-calculator/
1•brylie•27m ago•0 comments

Show HN: Tasty A.F. - Use AI to Create Printable Recipe Cards

https://tastyaf.recipes/about
2•adammfrank•28m ago•0 comments

The Contagious Taste of Cancer

https://www.historytoday.com/archive/history-matters/contagious-taste-cancer
2•Thevet•29m ago•0 comments
Open in hackernews

Meta spent $75B in 3 months on AI infrastructure (CoreWeave, Oracle, Blue Owl)

https://allenarch.dev/blog/meta-75b-ai-infrastructure-bet/
4•0xrelogic•3mo ago

Comments

0xrelogic•3mo ago
I spent weeks tracking Meta's AI infrastructure deals from September-October 2025. The scale is unprecedented: $75.5 billion across 4 deals in just 3 months.

Key findings: • CoreWeave: $14.2B (6+ years, Nvidia GB300 GPUs) • Oracle: ~$20B (multi-year cloud deal) • Blue Owl/Hyperion: $27B (joint venture, private credit financing) • Scale AI: $14.3B (49% stake)

What's interesting isn't just the size—it's the structure. Meta is using private credit and joint ventures instead of traditional CapEx. The Hyperion deal: Meta owns 20%, Blue Owl owns 80%, but Meta is on the hook for 16 years.

The math is uncomfortable: $75B in infrastructure spending vs ~$7B in AI revenue. That's a 10:1 cost-to-revenue ratio.

Happy to discuss the economics, the private credit angle, or whether this is sustainable.

almosthere•3mo ago
A million people are talking to ChatGPT about suicide.

When they start advertising in GPT (subtle hints to eat cheetos for example, or for rich people to buy a Maserati) the entire ratio will invert. It will be one of the largest advertising wins in the world.

0xrelogic•3mo ago
Interesting theory, but the current numbers and recent developments suggest a different picture.

Meta's Q3 2025 ad revenue is expected at 48.5B(21.666-72B, so still a significant cost-to-revenue gap.

Regarding advertising in AI assistants specifically OpenAI's Sam Altman actually addressed this in June 2025, calling ads in ChatGPT a "trust-destroying moment" (per The Decoder). There's been internal pushback at OpenAI over "engagement farming" tactics, and users already assume product suggestions are sponsored, which creates trust issues.

The more realistic monetization path for Meta (based on their earnings guidance):

Better ad targeting through AI (already happening - 11% increase in ad impressions Q2 2025) AI business tools (Meta AI for businesses) Infrastructure-as-a-service (selling excess capacity) Direct advertising in AI responses faces major regulatory and user trust hurdles. ChatGPT reached 800M weekly users by Sept 2025, but monetization through subtle product placement has sparked backlash even internally at OpenAI.

Sources: Meta Q3 2025 earnings preview (LSEG, Nasdaq), The Decoder (June 2025), Yahoo Finance marketing analysis

zekrioca•3mo ago
Where are they getting this level of investment from, and with what guarantees in case this go bust?
0xrelogic•3mo ago
Good question. The financing structure is actually quite interesting it's not traditional equity investment.

For the Hyperion deal specifically (confirmed by Meta's official announcement Oct 21, 2025):

80% owned by Blue Owl Capital (private credit firm) Financed through $27B+ debt arranged by Morgan Stanley PIMCO as anchor lender (144A bonds, maturing 2049) Meta has 20% equity + 16-year residual value guarantee So Meta's "guarantee" is essentially a long-term lease commitment with a 4-year initial term + extension options. If it goes bust, Meta is still on the hook for 16 years of payments, but Blue Owl/PIMCO absorb most of the asset risk.

The other deals (CoreWeave 14.2B,Oracle 20B) are traditional service contracts Meta pays for capacity, vendors own the infrastructure.

This is actually the largest private capital deal on record according to Bloomberg (Oct 16, 2025).

Sources: Meta official announcement, Bloomberg, Data Center Dynamics

streetcat1•3mo ago
They all spend with one purpose - replacing expensive humans, saying other wise does not make sense.

Any other app does not have moat - anyone can do the same app if it basically wrap the LLM.

If anything, LLM just destroy thier current moat, I.e. if everything is getting behind a chat interface, no one would would see ads.

0xrelogic•3mo ago
You're touching on the core tension in Meta's strategy. I think you're partially right, but there's more to it.

On "replacing expensive humans" agree that's part of it, but the bigger play is augmenting existing products. Meta's Q3 2025 guidance shows ad revenue still growing 21.6% YoY. They're using AI to make existing ads more effective (better targeting, higher conversion), not replacing the ad model entirely.

On the moat question this is where the infrastructure spending makes sense. You're right that wrapping an LLM has no moat, but owning the infrastructure to train and serve your own models does. Meta has three advantages: (1) 3B+ daily users generating training data competitors can't access, (2) owning 2GW of infrastructure means $0 marginal cost for inference vs paying OpenAI/Anthropic, and (3) AI embedded in Instagram/WhatsApp/Facebook is stickier than standalone chat.

On ads behind chat interface this is the real risk. But Meta's bet seems to be: short-term AI improves existing ad products (already working), mid-term AI creates new surfaces for ads (AI-generated content, business tools), and long-term if chat wins, Meta wants to own the chat interface (Meta AI), not lose to ChatGPT.

The $75B question is whether they're building a moat or just burning cash on commodity infrastructure. Time will tell, but the data advantage plus vertical integration gives them a shot.

What's your take do you think the data moat is real, or can competitors train equally good models on synthetic/public data?