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Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•2m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•5m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•5m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
1•tosh•11m ago•0 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•12m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•12m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•15m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•18m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•18m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•18m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•18m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•20m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•22m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•24m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•26m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•27m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•27m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•30m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
5•sakanakana00•33m ago•1 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
3•pieterdy•36m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•36m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•38m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
4•Nive11•38m ago•6 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•42m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
3•chartscout•44m ago•1 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•47m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•48m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•53m ago•1 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•55m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•58m ago•0 comments
Open in hackernews

Salesforce pulls back from LLMs, pivots Agentforce to deterministic automation

https://timesofindia.indiatimes.com/technology/tech-news/after-laying-off-4000-employees-and-automating-with-ai-agents-salesforce-executives-admit-we-were-more-confident-about-/articleshow/126121875.cms
53•_____k•1mo ago

Comments

chrisjj•1mo ago
Love how unreliable is recast as "probabalistic"...
exasperaited•1mo ago
[flagged]
tomhow•1mo ago
Please avoid internet tropes on HN.

https://news.ycombinator.com/newsguidelines.html

PartiallyTyped•1mo ago
This reads like a list of obvious things that we have been saying for the past 3 years.
wood_spirit•1mo ago
There are plenty of GPT evangelists too on HN. Plenty of people who have a few successful interactions with a code model and extrapolate that to LLMs reasoning and solving general problems etc.
wood_spirit•1mo ago
Presumably the 4000 sacked workers won’t be coming back though?
jeltz•1mo ago
Why would they? Sacking them had zero to do with LLMs, that was just an excuse.
david_shi•1mo ago
"While LLMs are amazing, they can't run your business by themselves... We ground AI in tight guardrails and deterministic frameworks, optimizing LLMs to deliver enterprise-grade reliability. Trusted. Reliable. Secure."

this sounds like it's copy and pasted straight from an LLM

jgwil2•1mo ago
Just sounds like typical marketing copy to me.
mjburgess•1mo ago
i believe this is via original at https://timesofindia.indiatimes.com/technology/tech-news/aft... (possibly an LLM redraft of the original)
A4ET8a8uTh0_v2•1mo ago
"The message is clear: probabilistic models alone won't run mission-critical operations."

Sigh, its LLM output all the way down. All jokes aside, it seems pretty obvious right? There are things that should be more 'flexible'. This is where LLMs can shine. There are things that should be more rigid, which is where old fashioned if/then logic should work. Did execs just try to plop it all in without giving a chance to a more 'balanced' solution?

edit: "While LLMs are amazing, they can't run your business by themselves... We ground AI in tight guardrails and deterministic frameworks, optimizing LLMs to deliver enterprise-grade reliability. Trusted. Reliable. Secure."

Why does it feel like management class suddenly got scared straight?

BDPW•1mo ago
Its unclear how they intend to fix these fundemantal problems tbh. Things like "Automate the 'must not fail' moments with rules, APIs, and triggers." And "Use policies, templates, function calling, and explicit do/don't constraints." Make sense but if you have deterministic workflows, what do the llms still add?

Using APIs makes sense but isnt the whole point of these things that they can automate away stuff, it feels like we're building really big complicated frameworks to put these things in. Does it still have any actual benefit for stuff like this?

makeitdouble•1mo ago
I'm not Salesforce obviously, but a combination of LLM as an input interface and the deterministic APIs doing the recurring automation behind would work.

For instance you talk with the LLMs for a while, they give you a workable set of DSL commands, you check what they do and make sure they match your needs, and set them to run as frequently as needed.

jgwil2•1mo ago
This pretty much matches my preferred workflow for scripting with LLMs: don't ask it to do the task, ask it to write a script that does the task, then validate and execute or refine.
d0liver•1mo ago
To save face and make it look like an iteration rather than a reversal.
avereveard•1mo ago
> when models were given more than eight instructions

I mean you can call a model 8 time, this seems they looking for excuses.

> If users asked unrelated questions

if you have enumerable business process why do you have chat interface, put down a set of buttons to start each business process

this seem some egregious misuse of the tech, which has it's problem, but hasn't had a fair chance here.

wonder if the whole project was just smoke and mirror to justify layoffs.

amelius•1mo ago
Yeah, it's not their kingdom so it makes sense.

Eventually AI will simply be integrated in the OS and there will be no room for small players.

theandrewbailey•1mo ago
Windows is doing that, but no ones interested.
amelius•1mo ago
Just wait until they have sufficient data.
tomhow•1mo ago
Recent and related...

Salesforce regrets firing 4000 experienced staff and replacing them with AI - https://news.ycombinator.com/item?id=46384781 - Dec 2025 (121 comments)

gardnr•1mo ago
And Wall St has begun punishing AI driven layoffs instead of rewarding them. Not saying they understand the problem space but prediction markets are important signals when trying to understand complex spaces.
zkmon•1mo ago
People went to the extent of letting agents to discover workflow steps dynamically. This is abuse of probabilistic logic to perform deterministic work. The hype has gone over the board, blurring the distinction.
socketcluster•1mo ago
You have to treat LLMs like humans under time pressure. If you give a person too many tasks in a short amount of time, they will probably also skip and/or rush some tasks. It's important to clearly identify which parts ought to be deterministic.

It's difficult to get both human-level intelligence and machine-level precision at the same time. You still need deterministic tools to do the precision work.

That said, I think LLMs definitely have a place and can provide a degree of flexibility to processes which was not possible before.

random9749832•1mo ago
Salesforce... A company worth so much and able to layoff almost half its employees but does what...? Agentforce doesn't seem to be anything but another GPT wrapper with a lot more buzzwords and now they are already backtracking?
general1465•1mo ago
Then people in Saleforce will figure out that very little can be automated (Unless you want to sink 1 week of work into automating task which takes 5 minutes once a month) and then they will get back at employees again.