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180709804
comment
bymodecx
2026 @01:25PM
(#65961182)
Attached to: The Bill Gates-Epstein Bombshell - and What Most People Get Wrong
Because it involves him being an Israeli asset. How does an non-credentialed private school teacher with a history of poor performance and allegations of misconduct with the young ladies move into the financial sector with Bear Stearns and immediately begin making tens of millions of dollars? They don't.
One must never question the methods or the motives of our greatest ally, or they will be branded an antisemite and made a pariah of polite society, the one that's cool with turning predominately women and children, and unarmed men who occupy a densely populated open air prison camp into bits and pieces using our tax dollars.
180709714
comment
bybill_mcgonigle
ary 31, 2026 @01:04PM
(#65961116)
Attached to: WhatsApp End-to-End Encryption Allegations Questioned By Some Security Experts, Lawyers
The protocol is good.
The client? Who knows. The Facebook version of the Double Ratchet includes "Abuse Reporting" to complain to the manager about a message you got.
Could a closed client accept some secret message to cause the recipient to narc on the sender? It could, but that doesn't mean it does.
Which version of which algorithm, precisely, is used in each version of their chat apps? Who knows.
Why is anybody who needs secure comms using a closed source client? Who knows.
180690948
comment
byRei
6 @04:15PM
(#65957532)
Attached to: 'Clawdbot' Has AI Techies Buying Mac Minis
That's like claiming you can still do SQL injection on parameterized SQL queries if you just do "a bit more work".
180685634
comment
byRei
6 @08:26AM
(#65956364)
Attached to: 'Clawdbot' Has AI Techies Buying Mac Minis
And just to head you off: no, you can't "tag it yourself". Tags are denoted by special tokens. The tokenizer does not convert any supplied text into these tokens.
180685380
comment
byRei
6 @07:16AM
(#65956310)
Attached to: Google Says AI Agent Can Now Browse on Users' Behalf
Are you literally incapable of looking over an ebay listing before you click "buy" to verify that it meets your specs? Are you literally incapable of looking over a form or report to verify that it's filled out correctly? How do you dress yourself?
In general, most online tasks are vastly faster to verify than to implement.
180685374
comment
byRei
6 @07:13AM
(#65956306)
Attached to: 'Clawdbot' Has AI Techies Buying Mac Minis
No, it does not simply make it "harder". The LLM only looks at the instruction-tagged section for instructions. It doesn't look at other tags for instructions.
180682252
comment
byRei
26 @10:09PM
(#65955852)
Attached to: Fully Electric Vehicle Sales In EU Overtake Petrol For First Time In December
Gasoline is the older word, and FYI, it originated in London. It was a product of John Cassell called "Cazeline". A Dublin shopkeeper named Samuel Boyd got into a trademark dispute with Cassel, so changed the spelling to "Gazeline" as a dodge. The word "Gasoline" appears as a listed product taxed in the US in the 1860s. By contrast, the word "Petrol" didn't come into play until the 1890s, as a product created by Carless, Capel & Leonard. They tried to trademark it, but the trademark failed and it became a generic. So yes, "gasoline" is a decades-older word than "petrol".
Also, for the record, if you want historical lingustic accuracy: All Rs are rhotic, never pronounced like "uh"; the a in words like "bath", "path", etc doesn't sound like the o in "cot"; the suffix "-tary" (secretary, military, etc) is two syllables, not "trie"; and while Received Pronunciation has better preservation of central "t"s (in American English they're more like a d), increasingly Brits drop them outright (E.g. water: American "wadder", UK commonly "wa'uh").
Fall IS the historic name. Autumn is loanword originating in French that started taking over in common parliance in the late 1700s in Britain (before it was mainly used in poetic speech - for example, Shakespeare preferred it to fall).. And while we're at it: it's trash, not rubbish; the past participle of got is gotten; mad means angry (read the King James Bible); it's guess, not suppose; it's candy, not sweets; it's diaper, not nappy; etc.
While there certainly are plenty of elements in which British English remains more conservative than American English**, it's well more common for American English to be more conservative. In general, it's usually London to blame; often deviations arose in London and then (due to its cultural domination) spread to the rest of the UK.
That said, when it comes to spelling, British English is usually more historically conservative than American English. Webster sought to make words be spelled more like they sound - for example, colour to color, theatre to theater, etc. Though ironically the US in some cases ended up restoring past spellings - the change of the "-ize" ending of American English actually predates the American-British split; it had been lost under French influence to "-ise", only to be restored in the US.
** - Interestingly, it was the American retention of rhoticity that led to some of the vowel shifts that British English kept as more original than the US. The classic case is Mary, Marry, and Merry - in American English, the vowels are pronounced the same, whereas in British English, Mary's is the same as in American English (like in "fair", "stair", etc), Marry is more like the a in "cat", and Merry is more like the e in "pet" or "step". But British English lost the rhoticity of the R instead of unifying the vowels to be easier with a rhotic R.
180681978
comment
byRei
26 @09:20PM
(#65955742)
Attached to: Google Says AI Agent Can Now Browse on Users' Behalf
That's why I mill my own flour, smelt my own steel, saw my own timber and synthesize my own plastics.
180681966
comment
byRei
26 @09:18PM
(#65955736)
Attached to: Google Says AI Agent Can Now Browse on Users' Behalf
Be sure to ask for blink tags and a bunch of "under construction" gifs and webring banners ;)
180681954
comment
byRei
26 @09:16PM
(#65955732)
Attached to: Google Says AI Agent Can Now Browse on Users' Behalf
People enjoy clicking through dozens of ebay listings trying to see which product actually matches their particular set of specs? People enjoy filling out forms? People enjoy getting quotes from electricians and plumbers? People enjoy filing expense reports? What on Earth are you smoking?
180681122
comment
bybill_mcgonigle
uary 28, 2026 @06:37PM
(#65955508)
Attached to: Supreme Court To Decide How 1988 Videotape Privacy Law Applies To Online Video
I even hear Zoomers say, "roll the tape," on podcasts where they're about to offer some analysis of or commentary on a video file or stream.
Words have usage that often extends beyond an original concrete origin.
180679370
comment
byRei
26 @01:06PM
(#65954764)
Attached to: 'Clawdbot' Has AI Techies Buying Mac Minis
Yeah, while there's a lot of excitement about Clawdbot, I've also seen a number of complaints about the... idiosyncratic decisions of the developer. I understand that there's fork projects underway.
180679362
comment
byRei
26 @01:02PM
(#65954754)
Attached to: 'Clawdbot' Has AI Techies Buying Mac Minis
Ugh, Slashdot messed up the italics.
Just to clarify: on the macs, the GPU operates on system memory. It has pretty awful FLOPS (~26 TFLOPS), but what matters for LLM inference is that its latency is low and bandwidth is high, and you can get versions with up to 512GB, for very sizable models
DGX Spark (formerly called "Digits") is a tiny desktop box from NVidia with 128GB (you can chain two together for 256GB). It has 4x the FLOPS than the macs (still well less than a modern gaming GPU!) but 1/3rd the memory bandwidth. In practice you get about the same performance per dollar of capital cost, and inference is a bit more power efficient. Another selling point for the DGX Spark is that the environment is *designed* for inference and training.
In practice, though, both are good options for home serving of large models. Again, it's inefficient compared to bulk serving of models on high-end servers with large-scale batching, but then you don't have the advantages of fully controlling your data.
180679302
comment
byRei
26 @12:53PM
(#65954728)
Attached to: 'Clawdbot' Has AI Techies Buying Mac Minis
Sure there is, structured input.
180679292
comment
byRei
26 @12:52PM
(#65954724)
Attached to: 'Clawdbot' Has AI Techies Buying Mac Minis
I haven't looked at what this thing is but why can't it be run on ordinary PC hardware? Either CPU or GPU, nvidia, etc? Why a a Mac?
If you're only going to run small models at home, your best option by far is a modern NVidia gaming GPU. The problem comes when you want to run a large model at home. And there's really only two good "home scale" options for this: macs like the M3 Ultra / Mac Studio, and the NVidia DGX Spark (1 or 2 linked together). You simply can't run these large models (even quantized) on regular gaming GPUs; they just don't have enough VRAM. You can run multiple GPUs in one computer, but the memory is still limited and now you're bandwidth limited across the bus. And yes, you can do it with any computer on CPU if you have sufficient RAM, but it's immensely slow and inefficient. You can combine running on CPU with running on GPU (layer offloading), but the CPU heavily bottlenecks the GPU and the GPU runs at near idle.
Even faster / more cost efficient / more power efficient are the high-end NVidia AI servers, but unless you've going to be serving out inference for a large number of people, there's no way you can justify the cost.
That said, you can do an awful lot with smaller models that fit on GPU. It's just a question of how much quality you care about for the sort of tasks you're wanting to run.
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