...and an inquiry too?
What's going on with Sam Altman's voice?
Has he been to an elocution coach to help him perfect a slow, low-pitch growling drawl?
Has GPTx advised on how to best inflect and converse?
We should be told.
27 publicly visible posts • joined 30 Apr 2024
…don’t drink the Kool-Aid.
Any technology which is based on training from human-sourced data, which requires so much supervision or checking due to human-like mistakes, and where in a recent Gemini chat exclaimed that it couldn’t check the spelling of words to ensure that they ended in ‘ity’, is perhaps better known as a Pig in a Poke.
Clearly. gullible doesn’t exist in the AI dictionary.
1. Find points of entry. Zero-day, social, technical, insider, etc.
2. Install firewalls, close ports, update passwords after installing a password manager and communicate access to known trusted parties.
3. Inconvenient? Perhaps, it’s a pain to have to use a password manager. But is it? I’ve used 1Password for more than a decade and it’s essential, simple, and it even makes Passkeys usable.
Ransomware problems stem from organisation and training failings. There’s no excuse for treating confidential customer and patient data like this.
And don’t start me on the scam that’s called The Insurance Industry.
…make them bigger, so they make them bigger.
Simon says, pause and think. So they just ignore Simon and plough ahead, armed with bigger, and riskier.
Simon says, weep and despair. But sees we beat him to it.
Simon says… ¡jesu cristo y la virgen, que cojones hacéis! as a way to bypass English profanity filters, whilst concisely expressing the disdain and despair.
Let’s consider buggy LLM-generated code. Buggy because it doesn’t fulfil the application requirements or just plain buggy ‘cos it’s wrong.
Who reports this? Who confirms this? Who assigns this for fixing and who fixes this? Do we assume LLMs in the roles?
Assuming a successful fix is created, should this propagate to other LLMs so the same mistake isn’t copied? What process is now followed, if any, and is the benefit local-only, or global?
If the bug was found in some npm library, is the fix checked and merged? Who manages this, or if it’s not managed, what happens? Suggestions?
Reusable software components were supposed to be one of those many, now-tarnished silver bullets. Are we about to discover that we now have a big bag of dodgy, rusting iron filings? Ot doesn’t it really matter because the complexity will be managed and the results will eventually converge to bug-free nirvana?
Don’t mistake this for doomsaying, I’m a fan of predictive code completion. But there’s a case to consider for complexity management and how that’s communicated.
…
This sounds like the service providers are gearing up for the largest game of wordwang*, because they forgot to take their large dose of reality.
Have all other problems now been subsumed and assumed fixed by Alt-Man et al? I hope not. The lecture notes are woeful and I don’t see any useful, credible examinations, as you would expect of any expert.
Of course, Alt-Man ads might just find a use for this dubious quality data. At the end of the day, whose wallets are going to bulge? And what else can these GPUs be used for?
I guess with the declining relevant working populations, there is now a rush to get some infrastructure in place before there’s no-one trained locally to do basic tasks.
I’ll let myself out…
* Mitchell, Webb et al.
No need to seed and scrape when you can feed and make. Here’s a Copilot composition from some brief requests and statements. I don’t claim copyright on this, it was written by Copilot.
=================
Certainly! Here are some suggestions for presenting "Steel Serenade: Mustafa's Donkey Parts 4000" at your meeting:
1. **Introduction:**
- Begin by setting the scene. Describe the open road, the camaraderie of truckers, and the mystique surrounding the "Donkey Parts 4000."
- Mention that this composition celebrates both the legendary truck and its elusive inventor, Mustafa.
2. **Background:**
- Share a brief overview of Mustafa Suleyman's accomplishments in AI (as mentioned earlier).
- Explain how he secretly crafted the "Donkey Parts 4000" under the radar.
3. **Performance:**
- Consider playing an audio snippet of the melody (if possible). Let the soulful blues notes resonate.
- If you have a vocalist, invite them to sing the chorus with passion, emphasizing the truck's importance.
4. **Lyric Highlight:**
- Introduce the line: "Now let me tell ya 'bout the Donkey Parts 4000..."
- Explain that this is where we pay homage to the truck and its enigmatic creator.
5. **Audience Engagement:**
- Encourage your audience to imagine the truckers' world—the highways, the late-night diners, and the memories etched in chrome.
- Invite them to feel the rhythm of the road and the heartbeat of the "Donkey Parts 4000."
6. **Closing:**
- Conclude by celebrating the enduring spirit of truckers and their unwavering love for the road.
- Remind everyone that Mustafa's legacy lives on through this musical tribute.
Remember, the magic lies in the storytelling. Let the melody and lyrics transport your audience into the world of trucking and intrigue. Break a leg at your meeting, and may the "Donkey Parts 4000" roar to life!
=================
Time to rename Copilot. How about Fiction Factory?
Corporate messaging and legals that need to be “confirmed“ or “clarified” through a global fact-free chit-chat network (Xitter) are a sure sign that chaos and the well-worn try-it-and-see-what-happens management stance is determining direction and public relations strategies. I wouldn’t expect such unprofessional work from an employee, and if my new AI substitute employee exhibited such behaviour, I would want to take advantage of the return policy, or I’d call my insurance company to manage the mess, whilst reviewing my newly minted AI job-replacement program. Repeated ill-considered behaviour doesn’t indicate that things will improve.
What a mess.
At least Broadcom are making their intentions and actions clear. In a crowded virtual and container market, I doubt I’ll use Fusion again. They’re clear about the value of the product to them; zero. The VMware business strategy was never clear, never ambitious nor extensive, sometimes weird (I’m talking about the RabbitMQ acquisition, which is a great product, but surely a sore thumb), and so much potential was squandered.
At least they’re not Google.
Oh jeezuz.
We have Bernie-Lee to thank for these glorified, excessive infostructure systems.
Now, can AI help me fill this form for my Rail Pass renewal whilst the Javascript assumes I want to move automatically to the next field of my Passport numbers? Can the AI take over the UI testing and forward the expletive-filled results to the corresponding AI dev?
Thanks. Thanks a lot.
I guess I sit in the company of only a few, to harbour the view that there must be a hell of a lot of horse roaming outside those damn barns, and it must be a profitable business for someone or some group solely for the lack of concern or understanding of risk, and budgets that are rarely concerned with risk because it often evades having a specific value.
But what do I know. (Opens browser to check if insurance company will offer discounts based on my security systems and processes, backups, and staff training.)