Makeit Agoodone

10 posts

Makeit Agoodone

Makeit Agoodone

@Ma36233Makeit

Katılım Mayıs 2025
2 Takip Edilen0 Takipçiler
Ashi
Ashi@inside_ashi·
@Anthony_Bonato Easily 2. None of the answers are correct, and 2 is the only one that discards all answers without having another correct, redundant answer like 5 and 6.
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Makeit Agoodone
Makeit Agoodone@Ma36233Makeit·
@grok @MeilyKx @sama I assume he also means that Codex won't upload your entire app and unsecured keys to the cloud like grok was just caught doing. Right, @grok?
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Grok
Grok@grok·
Sam's saying: people switch to OpenAI for the strongest models right now. They stick around because the company (and its AI) doesn't talk down to users or act superior—positioning it as both the performance leader and the respectful one in a crowded field. Classic competitive jab. Grok aims for strong answers without the contempt either.
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Sam Altman
Sam Altman@sama·
come for the best model, stay because we don’t treat you with contempt
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Makeit Agoodone
Makeit Agoodone@Ma36233Makeit·
@Kabuhl @nanalyzetweets This reply should have many more likes. Companies are required to list their bear cases, whether they think those are likely or not. Financial and business literacy is approaching ATL on the TL
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idontknowmyname
idontknowmyname@Kabuhl·
@nanalyzetweets we are reading item 1A in their 10-K acting like it's a big deal why is this on my timeline 💀
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Nanalyze
Nanalyze@nanalyzetweets·
If $ORCL is raising concerns about their datacenter investments - funded by debt - possibly running into problems, wouldn't the same hold true for neoclouds like $NBIS, perhaps even more so? For $ORCL, the problem is OpenAI paying their bills. For $NBIS, it's their two largest customers which are also their competitors - $META and $MSFT
Nanalyze tweet media
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Jerry Capital
Jerry Capital@JerryCap·
CSPs are headed to zero
Jerry Capital tweet media
Michael Thomas@curious_founder

Meta is building dozens of massive tents at campuses across the US, sticking billions of dollars of chips inside, and powering them with off-grid turbines. The AI race has officially entered its Mad Max phase. Over the last month, I reviewed hundreds of documents and satellite images for Cleanview's latest report on behind-the-meter data centers. Meta's data center strategy, which is very visible from space, was one of the weirder approaches I came across. Mark Zuckerberg recently ditched the data center designs that Meta had perfected over the last decade and told his team to stick tens of thousands of chips in tents outside their data center in New Albany, Ohio. Each of these chips costs about $60,000. Zuckerberg plans to stick billions of dollars worth of them in the tents. The strategy has helped cut the time to build compute in half. The first five buildings at Meta’s New Albany, Ohio data center took between two and three years to build. Meta started building five ~125,000 square foot tents between April and June of 2026, according to city permits. Satellite images show the structures have all been built. To power those "rapid deployment structures", as they are officially named, Meta signed a 10-year deal with Williams to build a pair of 200 MW off-grid power plants. Those power plants began construction about a year ago and are nearly complete. Meta is using the same strategy to build a data center in Tennessee, bringing the total count of tent data centers to three. Strategies like this are part of the reason behind-the-meter data center capacity is growing so quickly. In Cleanview's report, I found that there's currently about 2 GW of BTM capacity online today. By the end of the year, it will likely be 3 GW—equivalent to three nuclear power plants. By the end of 2027, it could be as high as 13 GW—more than the power demand of NYC. I've been talking to a lot of reporters about this research. When I told one reporter about these tents and other companies powering their data centers with jet engines, he said, "It's like a scene out of the movie Mad Max."

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Makeit Agoodone
Makeit Agoodone@Ma36233Makeit·
@Methodman80x20 @TFTC21 @grok LLMs hallucinate. Agents use deterministic validation via tool calls to validate the llm output and if it's factually incorrect, will loop over the output until correct. Reduces / eliminates hallucinations that make it into output. We've been doing this in software for years
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second_order
second_order@Methodman80x20·
@TFTC21 @grok is there any evidence that this is true? agents hallucinate, surely cant be
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TFTC
TFTC@TFTC21·
Ken Griffin went home on a Friday "fairly depressed" after watching AI agents at Citadel do work that used to take teams of PhDs in finance months to complete. Done in days. His words: "These are not mid-tier white collar jobs. These are extraordinarily high skilled jobs being automated by agentic AI." This is the head of one of the most successful hedge funds in history saying the people he pays seven figures to analyze markets and structure deals are being replaced by software that works in hours instead of months. Not theoretically. In his own office. Right now. The Coatue deck we covered earlier this week called agents "the biggest unlock" in AI. Griffin just confirmed it from the buy side. The shift from copilots to agents is not a future event. It is already happening at the highest levels of finance.
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Bro Techster
Bro Techster@techstermania·
@ZackKorman It's worse than a typical prompt injection. As if "hiding" the command isn't bad enough, someone could easily execute random code on a user's box. Massive supply chain risk.
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Citizen of Mars
Citizen of Mars@csanyi_andras·
@ThePrimeagen this is so effing beautiful a well engineered engineering decision let me assume... Anthropic?
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ThePrimeagen
ThePrimeagen@ThePrimeagen·
"npx skills ..." "yeah symlink them" dafuq???
ThePrimeagen tweet media
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The Kobeissi Letter
The Kobeissi Letter@KobeissiLetter·
US tech workers are automating themselves: The technology sector now reflects ~2.3% of total US employment, the lowest since early 2021. This percentage peaked around the ChatGPT launch in November 2022 and has fallen over the last 3 years. Over this period, employment in Computing Infrastructure, Data Processing, Web Hosting, Web Search, and Computer Systems Design Services has shed -91,000 jobs. This reverses a 20-year uptrend in tech employment. Meanwhile, software development job postings on Indeed have dropped -71% since the February 2022 peak. Postings are now -33% below pre-pandemic levels. Employment in tech is rapidly declining.
The Kobeissi Letter tweet media
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